high-level_jupyter.ipynb

{"cells":[{"metadata":{},"cell_type":"markdown","source":"# High-level R tutorial"},{"metadata":{},"cell_type":"markdown","source":"##### Full Version: https://cryptocurrencyresearch.org/"},{"metadata":{},"cell_type":"markdown","source":"## Install Packages"},{"metadata":{"trusted":false},"cell_type":"code","source":"install.packages(\"pacman\")","execution_count":1,"outputs":[{"output_type":"stream","text":"Installing package into ‘/srv/rlibs’\n(as ‘lib’ is unspecified)\n\n","name":"stderr"}]},{"metadata":{"trusted":false},"cell_type":"code","source":"library(pacman)","execution_count":2,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"Now we can use the `p_load()` function to install and load all other packages we will need: "},{"metadata":{"trusted":false},"cell_type":"code","source":"p_load(\"pins\",\"dplyr\",\"ggplot2\",\"caret\",\"xgboost\",\"kernlab\",\"tsibble\",\"fabletools\",\"fable\",\"feasts\",\"urca\",\"plotly\")","execution_count":3,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"###### The step above is very fast in this environment because all the packages were installed ahead of time, so `p_load()` detects the packages are already installed and avoids installing them again."},{"metadata":{},"cell_type":"markdown","source":"## Get the data"},{"metadata":{},"cell_type":"markdown","source":"We can get the data using the `pins` package:"},{"metadata":{"trusted":false},"cell_type":"code","source":"board_register(name = \"pins_board\", url = \"https://raw.githubusercontent.com/predictcrypto/pins/master/\", board = \"datatxt\")","execution_count":4,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata <- pin_get(name = \"ETH_Binance\")","execution_count":5,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"#### Preview data:"},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata","execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tibble: 5111 × 19</caption>\n<thead>\n\t<tr><th scope=col>Date</th><th scope=col>Symbol</th><th scope=col>Open</th><th scope=col>High</th><th scope=col>Low</th><th scope=col>Close</th><th scope=col>VolumeUSDT</th><th scope=col>CloseLag1Hour</th><th scope=col>CloseLag12Hour</th><th scope=col>CloseLag24Hour</th><th scope=col>CloseLag3Day</th><th scope=col>CloseLag7Day</th><th scope=col>CloseLag14Day</th><th scope=col>CloseLag30Day</th><th scope=col>CloseLag90Day</th><th scope=col>CloseLag120Day</th><th scope=col>Volatility</th><th scope=col>Target24HourClose</th><th scope=col>DateTime</th></tr>\n\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dttm&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>128.87</td><td>130.65</td><td>128.78</td><td>130.64</td><td>1446167.8</td><td>131.59</td><td>131.53</td><td>131.89</td><td>127.60</td><td>126.21</td><td>124.46</td><td>151.03</td><td>179.04</td><td>177.06</td><td>1.4520888</td><td>130.15</td><td>2020-01-01 01:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.64</td><td>130.98</td><td>130.35</td><td>130.85</td><td> 980578.7</td><td>130.64</td><td>131.69</td><td>131.55</td><td>128.07</td><td>125.79</td><td>124.75</td><td>150.93</td><td>179.51</td><td>177.59</td><td>0.4833142</td><td>129.72</td><td>2020-01-01 02:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.85</td><td>130.89</td><td>129.94</td><td>130.20</td><td> 611279.5</td><td>130.85</td><td>129.73</td><td>131.26</td><td>127.94</td><td>125.74</td><td>123.90</td><td>150.04</td><td>179.05</td><td>178.50</td><td>0.7311067</td><td>129.10</td><td>2020-01-01 03:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.20</td><td>130.74</td><td>130.15</td><td>130.20</td><td> 436380.9</td><td>130.20</td><td>130.07</td><td>131.40</td><td>127.95</td><td>126.25</td><td>123.73</td><td>150.38</td><td>178.99</td><td>178.79</td><td>0.4533231</td><td>129.55</td><td>2020-01-01 04:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.20</td><td>130.47</td><td>130.11</td><td>130.30</td><td> 546887.9</td><td>130.20</td><td>129.32</td><td>132.70</td><td>128.14</td><td>125.85</td><td>123.23</td><td>148.03</td><td>177.79</td><td>178.28</td><td>0.2766890</td><td>129.63</td><td>2020-01-01 05:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.30</td><td>130.75</td><td>130.26</td><td>130.44</td><td> 474846.7</td><td>130.30</td><td>129.42</td><td>132.27</td><td>128.60</td><td>125.22</td><td>121.88</td><td>148.26</td><td>177.36</td><td>177.73</td><td>0.3761707</td><td>129.42</td><td>2020-01-01 06:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.44</td><td>130.71</td><td>130.14</td><td>130.24</td><td> 536082.7</td><td>130.44</td><td>128.49</td><td>132.20</td><td>128.43</td><td>125.66</td><td>121.69</td><td>148.37</td><td>177.23</td><td>177.63</td><td>0.4379899</td><td>129.26</td><td>2020-01-01 07:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.24</td><td>130.41</td><td>129.87</td><td>130.36</td><td> 955260.7</td><td>130.24</td><td>128.39</td><td>131.78</td><td>128.65</td><td>125.88</td><td>121.66</td><td>148.01</td><td>177.85</td><td>177.73</td><td>0.4158004</td><td>130.21</td><td>2020-01-01 08:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.36</td><td>130.62</td><td>130.13</td><td>130.17</td><td> 580140.8</td><td>130.36</td><td>128.91</td><td>131.70</td><td>128.08</td><td>125.44</td><td>122.06</td><td>149.27</td><td>177.68</td><td>175.66</td><td>0.3765465</td><td>129.98</td><td>2020-01-01 09:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.17</td><td>130.82</td><td>130.07</td><td>130.70</td><td> 577170.0</td><td>130.17</td><td>129.05</td><td>131.77</td><td>128.25</td><td>124.67</td><td>123.49</td><td>149.00</td><td>175.76</td><td>176.24</td><td>0.5766126</td><td>129.72</td><td>2020-01-01 10:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.70</td><td>131.87</td><td>130.60</td><td>130.74</td><td>1353491.0</td><td>130.70</td><td>129.16</td><td>131.92</td><td>129.39</td><td>124.38</td><td>121.67</td><td>148.92</td><td>176.24</td><td>177.07</td><td>0.9724349</td><td>129.53</td><td>2020-01-01 11:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>129.16</td><td>129.19</td><td>128.68</td><td>128.87</td><td> 989909.2</td><td>130.74</td><td>131.59</td><td>131.52</td><td>127.93</td><td>126.91</td><td>124.41</td><td>150.38</td><td>179.25</td><td>178.20</td><td>0.3963320</td><td>130.67</td><td>2020-01-01 12:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>131.61</td><td>131.90</td><td>131.28</td><td>131.68</td><td> 910358.2</td><td>128.87</td><td>130.64</td><td>131.53</td><td>130.93</td><td>124.36</td><td>122.26</td><td>149.44</td><td>176.02</td><td>178.49</td><td>0.4722730</td><td>129.35</td><td>2020-01-01 13:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>131.68</td><td>132.37</td><td>131.24</td><td>131.96</td><td> 939658.9</td><td>131.68</td><td>130.85</td><td>131.69</td><td>130.95</td><td>124.29</td><td>123.34</td><td>147.99</td><td>172.20</td><td>180.96</td><td>0.8610180</td><td>129.37</td><td>2020-01-01 14:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>131.96</td><td>132.40</td><td>131.60</td><td>132.08</td><td> 694662.1</td><td>131.96</td><td>130.20</td><td>129.73</td><td>131.99</td><td>124.42</td><td>127.32</td><td>148.43</td><td>171.80</td><td>181.26</td><td>0.6079027</td><td>129.59</td><td>2020-01-01 15:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>132.08</td><td>132.95</td><td>131.78</td><td>132.85</td><td> 870249.5</td><td>132.08</td><td>130.20</td><td>130.07</td><td>132.90</td><td>124.15</td><td>128.47</td><td>147.75</td><td>173.66</td><td>180.50</td><td>0.8878434</td><td>127.60</td><td>2020-01-01 16:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>132.85</td><td>133.05</td><td>132.27</td><td>132.34</td><td> 650257.7</td><td>132.85</td><td>130.30</td><td>129.32</td><td>133.43</td><td>124.51</td><td>127.17</td><td>147.59</td><td>173.01</td><td>179.19</td><td>0.5897029</td><td>127.40</td><td>2020-01-01 17:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>132.34</td><td>132.46</td><td>131.57</td><td>132.04</td><td> 714182.7</td><td>132.34</td><td>130.44</td><td>129.42</td><td>133.79</td><td>124.81</td><td>127.27</td><td>147.20</td><td>172.52</td><td>179.78</td><td>0.6764460</td><td>127.49</td><td>2020-01-01 18:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>132.04</td><td>132.16</td><td>131.62</td><td>131.86</td><td> 273651.8</td><td>132.04</td><td>130.24</td><td>128.49</td><td>134.85</td><td>125.43</td><td>128.74</td><td>147.52</td><td>172.26</td><td>180.34</td><td>0.4102720</td><td>127.62</td><td>2020-01-01 19:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>131.86</td><td>132.25</td><td>131.70</td><td>132.18</td><td> 263829.9</td><td>131.86</td><td>130.36</td><td>128.39</td><td>135.14</td><td>125.66</td><td>129.65</td><td>148.06</td><td>172.74</td><td>180.87</td><td>0.4176158</td><td>127.16</td><td>2020-01-01 20:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>132.18</td><td>132.37</td><td>131.68</td><td>131.78</td><td> 631701.2</td><td>132.18</td><td>130.17</td><td>128.91</td><td>134.87</td><td>125.37</td><td>130.34</td><td>148.46</td><td>173.94</td><td>180.32</td><td>0.5239976</td><td>127.72</td><td>2020-01-01 21:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>131.78</td><td>131.82</td><td>129.90</td><td>130.27</td><td>1849036.9</td><td>131.78</td><td>130.70</td><td>129.05</td><td>135.03</td><td>125.36</td><td>133.84</td><td>149.14</td><td>175.02</td><td>180.95</td><td>1.4780600</td><td>127.39</td><td>2020-01-01 22:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.27</td><td>130.87</td><td>129.74</td><td>130.77</td><td> 493054.4</td><td>130.27</td><td>130.74</td><td>129.16</td><td>134.36</td><td>125.09</td><td>132.78</td><td>148.65</td><td>174.69</td><td>178.75</td><td>0.8709727</td><td>127.19</td><td>2020-01-01 23:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>ETH</td><td>130.74</td><td>131.61</td><td>130.70</td><td>131.61</td><td> 536273.4</td><td>130.77</td><td>128.87</td><td>131.59</td><td>131.04</td><td>124.64</td><td>120.61</td><td>149.07</td><td>176.17</td><td>178.68</td><td>0.6962510</td><td>129.96</td><td>2020-01-02 00:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>130.67</td><td>130.67</td><td>130.12</td><td>130.15</td><td> 473476.0</td><td>131.61</td><td>131.68</td><td>130.64</td><td>134.27</td><td>125.01</td><td>128.28</td><td>148.70</td><td>173.16</td><td>177.31</td><td>0.4226868</td><td>126.04</td><td>2020-01-02 01:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>130.15</td><td>130.16</td><td>128.89</td><td>129.72</td><td>2365918.3</td><td>130.15</td><td>131.96</td><td>130.85</td><td>134.37</td><td>125.30</td><td>128.48</td><td>149.24</td><td>172.45</td><td>177.83</td><td>0.9853363</td><td>126.92</td><td>2020-01-02 02:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>129.72</td><td>129.72</td><td>128.77</td><td>129.10</td><td>1505923.4</td><td>129.72</td><td>132.08</td><td>130.20</td><td>134.00</td><td>124.52</td><td>129.02</td><td>149.21</td><td>172.87</td><td>179.35</td><td>0.7377495</td><td>126.89</td><td>2020-01-02 03:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>129.10</td><td>129.87</td><td>128.69</td><td>129.55</td><td>1137482.8</td><td>129.10</td><td>132.85</td><td>130.20</td><td>135.11</td><td>124.41</td><td>128.28</td><td>148.47</td><td>171.51</td><td>178.59</td><td>0.9169322</td><td>129.30</td><td>2020-01-02 04:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>129.55</td><td>129.75</td><td>129.30</td><td>129.63</td><td> 915493.3</td><td>129.55</td><td>132.34</td><td>130.30</td><td>134.99</td><td>124.61</td><td>128.23</td><td>148.30</td><td>172.96</td><td>178.70</td><td>0.3480278</td><td>129.21</td><td>2020-01-02 05:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>ETH</td><td>129.63</td><td>129.99</td><td>129.15</td><td>129.42</td><td> 575876.8</td><td>129.63</td><td>132.04</td><td>130.44</td><td>135.17</td><td>124.98</td><td>127.60</td><td>148.68</td><td>173.38</td><td>178.55</td><td>0.6504065</td><td>129.17</td><td>2020-01-02 06:00:00</td></tr>\n\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>330.25</td><td>335.58</td><td>330.25</td><td>333.25</td><td>39030303</td><td>330.25</td><td>318.99</td><td>321.67</td><td>324.21</td><td>274.64</td><td>232.42</td><td>224.90</td><td>209.33</td><td>129.94</td><td>1.6139288</td><td>343.71</td><td>2020-07-30 19:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>333.25</td><td>342.00</td><td>333.08</td><td>338.22</td><td>41397107</td><td>333.25</td><td>319.55</td><td>322.25</td><td>323.85</td><td>273.06</td><td>232.96</td><td>225.59</td><td>209.80</td><td>131.74</td><td>2.6780353</td><td>344.94</td><td>2020-07-30 20:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>338.22</td><td>339.20</td><td>334.18</td><td>335.35</td><td>14531557</td><td>338.22</td><td>318.88</td><td>323.25</td><td>321.76</td><td>274.79</td><td>232.82</td><td>226.06</td><td>212.37</td><td>131.72</td><td>1.5021845</td><td>347.24</td><td>2020-07-30 21:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>335.35</td><td>337.77</td><td>333.48</td><td>334.16</td><td> 8973827</td><td>335.35</td><td>317.44</td><td>321.34</td><td>327.31</td><td>274.51</td><td>233.50</td><td>225.22</td><td>212.09</td><td>133.30</td><td>1.2864340</td><td>343.71</td><td>2020-07-30 22:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>334.16</td><td>336.85</td><td>333.03</td><td>334.87</td><td> 9926574</td><td>334.16</td><td>317.85</td><td>317.71</td><td>321.93</td><td>275.30</td><td>233.57</td><td>225.60</td><td>212.02</td><td>135.69</td><td>1.1470438</td><td>346.33</td><td>2020-07-30 23:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>ETH</td><td>317.85</td><td>319.39</td><td>317.26</td><td>317.26</td><td> 7806602</td><td>334.87</td><td>319.25</td><td>321.13</td><td>325.15</td><td>263.96</td><td>232.08</td><td>224.85</td><td>212.82</td><td>131.39</td><td>0.6713736</td><td>345.29</td><td>2020-07-31 00:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>334.75</td><td>335.54</td><td>330.00</td><td>332.68</td><td>11343546</td><td>317.26</td><td>318.70</td><td>316.43</td><td>323.76</td><td>273.03</td><td>233.56</td><td>224.97</td><td>212.21</td><td>135.17</td><td>1.6787879</td><td>345.22</td><td>2020-07-31 01:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>332.68</td><td>333.26</td><td>330.50</td><td>330.67</td><td> 6480437</td><td>332.68</td><td>317.56</td><td>315.77</td><td>318.29</td><td>274.02</td><td>233.54</td><td>225.44</td><td>212.14</td><td>135.98</td><td>0.8350983</td><td>346.65</td><td>2020-07-31 02:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>330.67</td><td>332.50</td><td>328.40</td><td>329.05</td><td> 8481744</td><td>330.67</td><td>319.21</td><td>316.10</td><td>319.23</td><td>272.86</td><td>233.17</td><td>225.44</td><td>212.95</td><td>136.31</td><td>1.2484775</td><td>352.26</td><td>2020-07-31 03:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>329.05</td><td>333.25</td><td>328.67</td><td>332.63</td><td> 9408989</td><td>329.05</td><td>322.30</td><td>317.29</td><td>321.35</td><td>271.01</td><td>232.22</td><td>225.62</td><td>212.82</td><td>135.90</td><td>1.3934950</td><td>353.82</td><td>2020-07-31 04:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>332.63</td><td>333.25</td><td>331.69</td><td>332.09</td><td> 5881017</td><td>332.63</td><td>324.65</td><td>316.52</td><td>317.02</td><td>273.38</td><td>232.68</td><td>225.51</td><td>212.58</td><td>136.17</td><td>0.4703187</td><td>355.59</td><td>2020-07-31 05:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>332.09</td><td>338.38</td><td>331.96</td><td>337.93</td><td>14620870</td><td>332.09</td><td>330.25</td><td>319.20</td><td>317.58</td><td>268.84</td><td>233.03</td><td>225.14</td><td>212.51</td><td>137.20</td><td>1.9339679</td><td>356.02</td><td>2020-07-31 06:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>337.93</td><td>338.21</td><td>335.19</td><td>336.81</td><td>11799296</td><td>337.93</td><td>333.25</td><td>318.99</td><td>315.73</td><td>270.79</td><td>233.12</td><td>225.58</td><td>211.12</td><td>137.37</td><td>0.9009815</td><td>354.99</td><td>2020-07-31 07:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>336.81</td><td>340.50</td><td>335.78</td><td>338.19</td><td>17598398</td><td>336.81</td><td>338.22</td><td>319.55</td><td>313.15</td><td>270.46</td><td>233.00</td><td>227.87</td><td>210.70</td><td>137.30</td><td>1.4056823</td><td>356.71</td><td>2020-07-31 08:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>338.19</td><td>339.60</td><td>336.58</td><td>337.55</td><td>10020552</td><td>338.19</td><td>335.35</td><td>318.88</td><td>310.18</td><td>272.94</td><td>233.29</td><td>227.61</td><td>211.98</td><td>136.81</td><td>0.8972607</td><td>359.21</td><td>2020-07-31 09:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>337.55</td><td>344.10</td><td>337.00</td><td>342.99</td><td>25681937</td><td>337.55</td><td>334.16</td><td>317.44</td><td>313.16</td><td>275.28</td><td>232.98</td><td>227.45</td><td>212.25</td><td>137.12</td><td>2.1068249</td><td>354.92</td><td>2020-07-31 10:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>342.99</td><td>346.71</td><td>341.56</td><td>343.86</td><td>22152119</td><td>342.99</td><td>334.87</td><td>317.85</td><td>316.98</td><td>275.14</td><td>233.35</td><td>227.66</td><td>212.13</td><td>137.64</td><td>1.5077878</td><td>356.13</td><td>2020-07-31 11:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>334.87</td><td>336.58</td><td>333.26</td><td>334.75</td><td> 7757608</td><td>343.86</td><td>317.26</td><td>319.25</td><td>324.77</td><td>273.92</td><td>232.90</td><td>225.04</td><td>212.83</td><td>136.00</td><td>0.9962192</td><td>344.01</td><td>2020-07-31 12:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>345.29</td><td>345.47</td><td>338.71</td><td>342.69</td><td>17942991</td><td>334.75</td><td>332.68</td><td>318.70</td><td>315.33</td><td>272.08</td><td>233.39</td><td>228.43</td><td>213.19</td><td>136.48</td><td>1.9958076</td><td>353.52</td><td>2020-07-31 13:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>342.69</td><td>347.20</td><td>341.94</td><td>347.18</td><td>16435736</td><td>342.69</td><td>330.67</td><td>317.56</td><td>319.70</td><td>274.89</td><td>233.33</td><td>228.59</td><td>213.20</td><td>138.94</td><td>1.5382816</td><td>356.15</td><td>2020-07-31 14:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>347.18</td><td>347.61</td><td>342.38</td><td>344.38</td><td>25799083</td><td>347.18</td><td>329.05</td><td>319.21</td><td>321.70</td><td>278.19</td><td>233.15</td><td>229.42</td><td>212.96</td><td>139.29</td><td>1.5275425</td><td>357.89</td><td>2020-07-31 15:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>344.38</td><td>345.91</td><td>340.32</td><td>345.35</td><td>24722561</td><td>344.38</td><td>332.63</td><td>322.30</td><td>315.85</td><td>278.39</td><td>233.23</td><td>231.50</td><td>214.18</td><td>143.48</td><td>1.6425717</td><td>362.09</td><td>2020-07-31 16:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>345.35</td><td>345.71</td><td>342.74</td><td>342.83</td><td> 8677540</td><td>345.35</td><td>332.09</td><td>324.65</td><td>316.50</td><td>279.01</td><td>232.95</td><td>232.35</td><td>214.44</td><td>145.41</td><td>0.8665461</td><td>373.25</td><td>2020-07-31 17:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>342.83</td><td>344.03</td><td>341.36</td><td>342.46</td><td> 7270773</td><td>342.83</td><td>337.93</td><td>330.25</td><td>316.24</td><td>281.90</td><td>233.20</td><td>231.69</td><td>212.66</td><td>140.45</td><td>0.7821655</td><td>371.20</td><td>2020-07-31 18:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>342.46</td><td>345.50</td><td>342.05</td><td>343.71</td><td> 9065318</td><td>342.46</td><td>336.81</td><td>333.25</td><td>318.33</td><td>283.11</td><td>233.11</td><td>231.10</td><td>213.54</td><td>140.85</td><td>1.0086245</td><td>383.30</td><td>2020-07-31 19:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>343.71</td><td>345.55</td><td>343.58</td><td>344.94</td><td> 9285584</td><td>343.71</td><td>338.19</td><td>338.22</td><td>319.58</td><td>285.73</td><td>232.50</td><td>231.32</td><td>214.00</td><td>140.50</td><td>0.5733745</td><td>386.00</td><td>2020-07-31 20:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>344.94</td><td>349.45</td><td>344.38</td><td>347.24</td><td>14932884</td><td>344.94</td><td>337.55</td><td>335.35</td><td>317.77</td><td>284.79</td><td>232.73</td><td>231.13</td><td>213.66</td><td>142.41</td><td>1.4722109</td><td>384.34</td><td>2020-07-31 21:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>347.24</td><td>347.94</td><td>343.47</td><td>343.71</td><td>11751536</td><td>347.24</td><td>342.99</td><td>334.16</td><td>317.51</td><td>280.51</td><td>233.02</td><td>230.91</td><td>213.97</td><td>142.33</td><td>1.3014237</td><td>387.33</td><td>2020-07-31 22:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>343.71</td><td>346.68</td><td>342.60</td><td>346.33</td><td>10317839</td><td>343.71</td><td>343.86</td><td>334.87</td><td>316.77</td><td>279.15</td><td>232.67</td><td>230.99</td><td>213.90</td><td>141.28</td><td>1.1908932</td><td>387.00</td><td>2020-07-31 23:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>ETH</td><td>343.86</td><td>345.38</td><td>341.37</td><td>345.29</td><td>15854624</td><td>346.33</td><td>334.75</td><td>317.26</td><td>315.75</td><td>274.48</td><td>233.64</td><td>227.70</td><td>212.41</td><td>137.28</td><td>1.1746785</td><td>356.97</td><td>2020-08-01 00:00:00</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 5111 × 19\n\n| Date &lt;date&gt; | Symbol &lt;chr&gt; | Open &lt;dbl&gt; | High &lt;dbl&gt; | Low &lt;dbl&gt; | Close &lt;dbl&gt; | VolumeUSDT &lt;dbl&gt; | CloseLag1Hour &lt;dbl&gt; | CloseLag12Hour &lt;dbl&gt; | CloseLag24Hour &lt;dbl&gt; | CloseLag3Day &lt;dbl&gt; | CloseLag7Day &lt;dbl&gt; | CloseLag14Day &lt;dbl&gt; | CloseLag30Day &lt;dbl&gt; | CloseLag90Day &lt;dbl&gt; | CloseLag120Day &lt;dbl&gt; | Volatility &lt;dbl&gt; | Target24HourClose &lt;dbl&gt; | DateTime &lt;dttm&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| 2020-01-01 | ETH | 128.87 | 130.65 | 128.78 | 130.64 | 1446167.8 | 131.59 | 131.53 | 131.89 | 127.60 | 126.21 | 124.46 | 151.03 | 179.04 | 177.06 | 1.4520888 | 130.15 | 2020-01-01 01:00:00 |\n| 2020-01-01 | ETH | 130.64 | 130.98 | 130.35 | 130.85 |  980578.7 | 130.64 | 131.69 | 131.55 | 128.07 | 125.79 | 124.75 | 150.93 | 179.51 | 177.59 | 0.4833142 | 129.72 | 2020-01-01 02:00:00 |\n| 2020-01-01 | ETH | 130.85 | 130.89 | 129.94 | 130.20 |  611279.5 | 130.85 | 129.73 | 131.26 | 127.94 | 125.74 | 123.90 | 150.04 | 179.05 | 178.50 | 0.7311067 | 129.10 | 2020-01-01 03:00:00 |\n| 2020-01-01 | ETH | 130.20 | 130.74 | 130.15 | 130.20 |  436380.9 | 130.20 | 130.07 | 131.40 | 127.95 | 126.25 | 123.73 | 150.38 | 178.99 | 178.79 | 0.4533231 | 129.55 | 2020-01-01 04:00:00 |\n| 2020-01-01 | ETH | 130.20 | 130.47 | 130.11 | 130.30 |  546887.9 | 130.20 | 129.32 | 132.70 | 128.14 | 125.85 | 123.23 | 148.03 | 177.79 | 178.28 | 0.2766890 | 129.63 | 2020-01-01 05:00:00 |\n| 2020-01-01 | ETH | 130.30 | 130.75 | 130.26 | 130.44 |  474846.7 | 130.30 | 129.42 | 132.27 | 128.60 | 125.22 | 121.88 | 148.26 | 177.36 | 177.73 | 0.3761707 | 129.42 | 2020-01-01 06:00:00 |\n| 2020-01-01 | ETH | 130.44 | 130.71 | 130.14 | 130.24 |  536082.7 | 130.44 | 128.49 | 132.20 | 128.43 | 125.66 | 121.69 | 148.37 | 177.23 | 177.63 | 0.4379899 | 129.26 | 2020-01-01 07:00:00 |\n| 2020-01-01 | ETH | 130.24 | 130.41 | 129.87 | 130.36 |  955260.7 | 130.24 | 128.39 | 131.78 | 128.65 | 125.88 | 121.66 | 148.01 | 177.85 | 177.73 | 0.4158004 | 130.21 | 2020-01-01 08:00:00 |\n| 2020-01-01 | ETH | 130.36 | 130.62 | 130.13 | 130.17 |  580140.8 | 130.36 | 128.91 | 131.70 | 128.08 | 125.44 | 122.06 | 149.27 | 177.68 | 175.66 | 0.3765465 | 129.98 | 2020-01-01 09:00:00 |\n| 2020-01-01 | ETH | 130.17 | 130.82 | 130.07 | 130.70 |  577170.0 | 130.17 | 129.05 | 131.77 | 128.25 | 124.67 | 123.49 | 149.00 | 175.76 | 176.24 | 0.5766126 | 129.72 | 2020-01-01 10:00:00 |\n| 2020-01-01 | ETH | 130.70 | 131.87 | 130.60 | 130.74 | 1353491.0 | 130.70 | 129.16 | 131.92 | 129.39 | 124.38 | 121.67 | 148.92 | 176.24 | 177.07 | 0.9724349 | 129.53 | 2020-01-01 11:00:00 |\n| 2020-01-01 | ETH | 129.16 | 129.19 | 128.68 | 128.87 |  989909.2 | 130.74 | 131.59 | 131.52 | 127.93 | 126.91 | 124.41 | 150.38 | 179.25 | 178.20 | 0.3963320 | 130.67 | 2020-01-01 12:00:00 |\n| 2020-01-01 | ETH | 131.61 | 131.90 | 131.28 | 131.68 |  910358.2 | 128.87 | 130.64 | 131.53 | 130.93 | 124.36 | 122.26 | 149.44 | 176.02 | 178.49 | 0.4722730 | 129.35 | 2020-01-01 13:00:00 |\n| 2020-01-01 | ETH | 131.68 | 132.37 | 131.24 | 131.96 |  939658.9 | 131.68 | 130.85 | 131.69 | 130.95 | 124.29 | 123.34 | 147.99 | 172.20 | 180.96 | 0.8610180 | 129.37 | 2020-01-01 14:00:00 |\n| 2020-01-01 | ETH | 131.96 | 132.40 | 131.60 | 132.08 |  694662.1 | 131.96 | 130.20 | 129.73 | 131.99 | 124.42 | 127.32 | 148.43 | 171.80 | 181.26 | 0.6079027 | 129.59 | 2020-01-01 15:00:00 |\n| 2020-01-01 | ETH | 132.08 | 132.95 | 131.78 | 132.85 |  870249.5 | 132.08 | 130.20 | 130.07 | 132.90 | 124.15 | 128.47 | 147.75 | 173.66 | 180.50 | 0.8878434 | 127.60 | 2020-01-01 16:00:00 |\n| 2020-01-01 | ETH | 132.85 | 133.05 | 132.27 | 132.34 |  650257.7 | 132.85 | 130.30 | 129.32 | 133.43 | 124.51 | 127.17 | 147.59 | 173.01 | 179.19 | 0.5897029 | 127.40 | 2020-01-01 17:00:00 |\n| 2020-01-01 | ETH | 132.34 | 132.46 | 131.57 | 132.04 |  714182.7 | 132.34 | 130.44 | 129.42 | 133.79 | 124.81 | 127.27 | 147.20 | 172.52 | 179.78 | 0.6764460 | 127.49 | 2020-01-01 18:00:00 |\n| 2020-01-01 | ETH | 132.04 | 132.16 | 131.62 | 131.86 |  273651.8 | 132.04 | 130.24 | 128.49 | 134.85 | 125.43 | 128.74 | 147.52 | 172.26 | 180.34 | 0.4102720 | 127.62 | 2020-01-01 19:00:00 |\n| 2020-01-01 | ETH | 131.86 | 132.25 | 131.70 | 132.18 |  263829.9 | 131.86 | 130.36 | 128.39 | 135.14 | 125.66 | 129.65 | 148.06 | 172.74 | 180.87 | 0.4176158 | 127.16 | 2020-01-01 20:00:00 |\n| 2020-01-01 | ETH | 132.18 | 132.37 | 131.68 | 131.78 |  631701.2 | 132.18 | 130.17 | 128.91 | 134.87 | 125.37 | 130.34 | 148.46 | 173.94 | 180.32 | 0.5239976 | 127.72 | 2020-01-01 21:00:00 |\n| 2020-01-01 | ETH | 131.78 | 131.82 | 129.90 | 130.27 | 1849036.9 | 131.78 | 130.70 | 129.05 | 135.03 | 125.36 | 133.84 | 149.14 | 175.02 | 180.95 | 1.4780600 | 127.39 | 2020-01-01 22:00:00 |\n| 2020-01-01 | ETH | 130.27 | 130.87 | 129.74 | 130.77 |  493054.4 | 130.27 | 130.74 | 129.16 | 134.36 | 125.09 | 132.78 | 148.65 | 174.69 | 178.75 | 0.8709727 | 127.19 | 2020-01-01 23:00:00 |\n| 2020-01-01 | ETH | 130.74 | 131.61 | 130.70 | 131.61 |  536273.4 | 130.77 | 128.87 | 131.59 | 131.04 | 124.64 | 120.61 | 149.07 | 176.17 | 178.68 | 0.6962510 | 129.96 | 2020-01-02 00:00:00 |\n| 2020-01-02 | ETH | 130.67 | 130.67 | 130.12 | 130.15 |  473476.0 | 131.61 | 131.68 | 130.64 | 134.27 | 125.01 | 128.28 | 148.70 | 173.16 | 177.31 | 0.4226868 | 126.04 | 2020-01-02 01:00:00 |\n| 2020-01-02 | ETH | 130.15 | 130.16 | 128.89 | 129.72 | 2365918.3 | 130.15 | 131.96 | 130.85 | 134.37 | 125.30 | 128.48 | 149.24 | 172.45 | 177.83 | 0.9853363 | 126.92 | 2020-01-02 02:00:00 |\n| 2020-01-02 | ETH | 129.72 | 129.72 | 128.77 | 129.10 | 1505923.4 | 129.72 | 132.08 | 130.20 | 134.00 | 124.52 | 129.02 | 149.21 | 172.87 | 179.35 | 0.7377495 | 126.89 | 2020-01-02 03:00:00 |\n| 2020-01-02 | ETH | 129.10 | 129.87 | 128.69 | 129.55 | 1137482.8 | 129.10 | 132.85 | 130.20 | 135.11 | 124.41 | 128.28 | 148.47 | 171.51 | 178.59 | 0.9169322 | 129.30 | 2020-01-02 04:00:00 |\n| 2020-01-02 | ETH | 129.55 | 129.75 | 129.30 | 129.63 |  915493.3 | 129.55 | 132.34 | 130.30 | 134.99 | 124.61 | 128.23 | 148.30 | 172.96 | 178.70 | 0.3480278 | 129.21 | 2020-01-02 05:00:00 |\n| 2020-01-02 | ETH | 129.63 | 129.99 | 129.15 | 129.42 |  575876.8 | 129.63 | 132.04 | 130.44 | 135.17 | 124.98 | 127.60 | 148.68 | 173.38 | 178.55 | 0.6504065 | 129.17 | 2020-01-02 06:00:00 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| 2020-07-30 | ETH | 330.25 | 335.58 | 330.25 | 333.25 | 39030303 | 330.25 | 318.99 | 321.67 | 324.21 | 274.64 | 232.42 | 224.90 | 209.33 | 129.94 | 1.6139288 | 343.71 | 2020-07-30 19:00:00 |\n| 2020-07-30 | ETH | 333.25 | 342.00 | 333.08 | 338.22 | 41397107 | 333.25 | 319.55 | 322.25 | 323.85 | 273.06 | 232.96 | 225.59 | 209.80 | 131.74 | 2.6780353 | 344.94 | 2020-07-30 20:00:00 |\n| 2020-07-30 | ETH | 338.22 | 339.20 | 334.18 | 335.35 | 14531557 | 338.22 | 318.88 | 323.25 | 321.76 | 274.79 | 232.82 | 226.06 | 212.37 | 131.72 | 1.5021845 | 347.24 | 2020-07-30 21:00:00 |\n| 2020-07-30 | ETH | 335.35 | 337.77 | 333.48 | 334.16 |  8973827 | 335.35 | 317.44 | 321.34 | 327.31 | 274.51 | 233.50 | 225.22 | 212.09 | 133.30 | 1.2864340 | 343.71 | 2020-07-30 22:00:00 |\n| 2020-07-30 | ETH | 334.16 | 336.85 | 333.03 | 334.87 |  9926574 | 334.16 | 317.85 | 317.71 | 321.93 | 275.30 | 233.57 | 225.60 | 212.02 | 135.69 | 1.1470438 | 346.33 | 2020-07-30 23:00:00 |\n| 2020-07-30 | ETH | 317.85 | 319.39 | 317.26 | 317.26 |  7806602 | 334.87 | 319.25 | 321.13 | 325.15 | 263.96 | 232.08 | 224.85 | 212.82 | 131.39 | 0.6713736 | 345.29 | 2020-07-31 00:00:00 |\n| 2020-07-31 | ETH | 334.75 | 335.54 | 330.00 | 332.68 | 11343546 | 317.26 | 318.70 | 316.43 | 323.76 | 273.03 | 233.56 | 224.97 | 212.21 | 135.17 | 1.6787879 | 345.22 | 2020-07-31 01:00:00 |\n| 2020-07-31 | ETH | 332.68 | 333.26 | 330.50 | 330.67 |  6480437 | 332.68 | 317.56 | 315.77 | 318.29 | 274.02 | 233.54 | 225.44 | 212.14 | 135.98 | 0.8350983 | 346.65 | 2020-07-31 02:00:00 |\n| 2020-07-31 | ETH | 330.67 | 332.50 | 328.40 | 329.05 |  8481744 | 330.67 | 319.21 | 316.10 | 319.23 | 272.86 | 233.17 | 225.44 | 212.95 | 136.31 | 1.2484775 | 352.26 | 2020-07-31 03:00:00 |\n| 2020-07-31 | ETH | 329.05 | 333.25 | 328.67 | 332.63 |  9408989 | 329.05 | 322.30 | 317.29 | 321.35 | 271.01 | 232.22 | 225.62 | 212.82 | 135.90 | 1.3934950 | 353.82 | 2020-07-31 04:00:00 |\n| 2020-07-31 | ETH | 332.63 | 333.25 | 331.69 | 332.09 |  5881017 | 332.63 | 324.65 | 316.52 | 317.02 | 273.38 | 232.68 | 225.51 | 212.58 | 136.17 | 0.4703187 | 355.59 | 2020-07-31 05:00:00 |\n| 2020-07-31 | ETH | 332.09 | 338.38 | 331.96 | 337.93 | 14620870 | 332.09 | 330.25 | 319.20 | 317.58 | 268.84 | 233.03 | 225.14 | 212.51 | 137.20 | 1.9339679 | 356.02 | 2020-07-31 06:00:00 |\n| 2020-07-31 | ETH | 337.93 | 338.21 | 335.19 | 336.81 | 11799296 | 337.93 | 333.25 | 318.99 | 315.73 | 270.79 | 233.12 | 225.58 | 211.12 | 137.37 | 0.9009815 | 354.99 | 2020-07-31 07:00:00 |\n| 2020-07-31 | ETH | 336.81 | 340.50 | 335.78 | 338.19 | 17598398 | 336.81 | 338.22 | 319.55 | 313.15 | 270.46 | 233.00 | 227.87 | 210.70 | 137.30 | 1.4056823 | 356.71 | 2020-07-31 08:00:00 |\n| 2020-07-31 | ETH | 338.19 | 339.60 | 336.58 | 337.55 | 10020552 | 338.19 | 335.35 | 318.88 | 310.18 | 272.94 | 233.29 | 227.61 | 211.98 | 136.81 | 0.8972607 | 359.21 | 2020-07-31 09:00:00 |\n| 2020-07-31 | ETH | 337.55 | 344.10 | 337.00 | 342.99 | 25681937 | 337.55 | 334.16 | 317.44 | 313.16 | 275.28 | 232.98 | 227.45 | 212.25 | 137.12 | 2.1068249 | 354.92 | 2020-07-31 10:00:00 |\n| 2020-07-31 | ETH | 342.99 | 346.71 | 341.56 | 343.86 | 22152119 | 342.99 | 334.87 | 317.85 | 316.98 | 275.14 | 233.35 | 227.66 | 212.13 | 137.64 | 1.5077878 | 356.13 | 2020-07-31 11:00:00 |\n| 2020-07-31 | ETH | 334.87 | 336.58 | 333.26 | 334.75 |  7757608 | 343.86 | 317.26 | 319.25 | 324.77 | 273.92 | 232.90 | 225.04 | 212.83 | 136.00 | 0.9962192 | 344.01 | 2020-07-31 12:00:00 |\n| 2020-07-31 | ETH | 345.29 | 345.47 | 338.71 | 342.69 | 17942991 | 334.75 | 332.68 | 318.70 | 315.33 | 272.08 | 233.39 | 228.43 | 213.19 | 136.48 | 1.9958076 | 353.52 | 2020-07-31 13:00:00 |\n| 2020-07-31 | ETH | 342.69 | 347.20 | 341.94 | 347.18 | 16435736 | 342.69 | 330.67 | 317.56 | 319.70 | 274.89 | 233.33 | 228.59 | 213.20 | 138.94 | 1.5382816 | 356.15 | 2020-07-31 14:00:00 |\n| 2020-07-31 | ETH | 347.18 | 347.61 | 342.38 | 344.38 | 25799083 | 347.18 | 329.05 | 319.21 | 321.70 | 278.19 | 233.15 | 229.42 | 212.96 | 139.29 | 1.5275425 | 357.89 | 2020-07-31 15:00:00 |\n| 2020-07-31 | ETH | 344.38 | 345.91 | 340.32 | 345.35 | 24722561 | 344.38 | 332.63 | 322.30 | 315.85 | 278.39 | 233.23 | 231.50 | 214.18 | 143.48 | 1.6425717 | 362.09 | 2020-07-31 16:00:00 |\n| 2020-07-31 | ETH | 345.35 | 345.71 | 342.74 | 342.83 |  8677540 | 345.35 | 332.09 | 324.65 | 316.50 | 279.01 | 232.95 | 232.35 | 214.44 | 145.41 | 0.8665461 | 373.25 | 2020-07-31 17:00:00 |\n| 2020-07-31 | ETH | 342.83 | 344.03 | 341.36 | 342.46 |  7270773 | 342.83 | 337.93 | 330.25 | 316.24 | 281.90 | 233.20 | 231.69 | 212.66 | 140.45 | 0.7821655 | 371.20 | 2020-07-31 18:00:00 |\n| 2020-07-31 | ETH | 342.46 | 345.50 | 342.05 | 343.71 |  9065318 | 342.46 | 336.81 | 333.25 | 318.33 | 283.11 | 233.11 | 231.10 | 213.54 | 140.85 | 1.0086245 | 383.30 | 2020-07-31 19:00:00 |\n| 2020-07-31 | ETH | 343.71 | 345.55 | 343.58 | 344.94 |  9285584 | 343.71 | 338.19 | 338.22 | 319.58 | 285.73 | 232.50 | 231.32 | 214.00 | 140.50 | 0.5733745 | 386.00 | 2020-07-31 20:00:00 |\n| 2020-07-31 | ETH | 344.94 | 349.45 | 344.38 | 347.24 | 14932884 | 344.94 | 337.55 | 335.35 | 317.77 | 284.79 | 232.73 | 231.13 | 213.66 | 142.41 | 1.4722109 | 384.34 | 2020-07-31 21:00:00 |\n| 2020-07-31 | ETH | 347.24 | 347.94 | 343.47 | 343.71 | 11751536 | 347.24 | 342.99 | 334.16 | 317.51 | 280.51 | 233.02 | 230.91 | 213.97 | 142.33 | 1.3014237 | 387.33 | 2020-07-31 22:00:00 |\n| 2020-07-31 | ETH | 343.71 | 346.68 | 342.60 | 346.33 | 10317839 | 343.71 | 343.86 | 334.87 | 316.77 | 279.15 | 232.67 | 230.99 | 213.90 | 141.28 | 1.1908932 | 387.00 | 2020-07-31 23:00:00 |\n| 2020-07-31 | ETH | 343.86 | 345.38 | 341.37 | 345.29 | 15854624 | 346.33 | 334.75 | 317.26 | 315.75 | 274.48 | 233.64 | 227.70 | 212.41 | 137.28 | 1.1746785 | 356.97 | 2020-08-01 00:00:00 |\n\n","text/latex":"A tibble: 5111 × 19\n\\begin{tabular}{lllllllllllllllllll}\n Date & Symbol & Open & High & Low & Close & VolumeUSDT & CloseLag1Hour & CloseLag12Hour & CloseLag24Hour & CloseLag3Day & CloseLag7Day & CloseLag14Day & CloseLag30Day & CloseLag90Day & CloseLag120Day & Volatility & Target24HourClose & DateTime\\\\\n <date> & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dttm>\\\\\n\\hline\n\t 2020-01-01 & ETH & 128.87 & 130.65 & 128.78 & 130.64 & 1446167.8 & 131.59 & 131.53 & 131.89 & 127.60 & 126.21 & 124.46 & 151.03 & 179.04 & 177.06 & 1.4520888 & 130.15 & 2020-01-01 01:00:00\\\\\n\t 2020-01-01 & ETH & 130.64 & 130.98 & 130.35 & 130.85 &  980578.7 & 130.64 & 131.69 & 131.55 & 128.07 & 125.79 & 124.75 & 150.93 & 179.51 & 177.59 & 0.4833142 & 129.72 & 2020-01-01 02:00:00\\\\\n\t 2020-01-01 & ETH & 130.85 & 130.89 & 129.94 & 130.20 &  611279.5 & 130.85 & 129.73 & 131.26 & 127.94 & 125.74 & 123.90 & 150.04 & 179.05 & 178.50 & 0.7311067 & 129.10 & 2020-01-01 03:00:00\\\\\n\t 2020-01-01 & ETH & 130.20 & 130.74 & 130.15 & 130.20 &  436380.9 & 130.20 & 130.07 & 131.40 & 127.95 & 126.25 & 123.73 & 150.38 & 178.99 & 178.79 & 0.4533231 & 129.55 & 2020-01-01 04:00:00\\\\\n\t 2020-01-01 & ETH & 130.20 & 130.47 & 130.11 & 130.30 &  546887.9 & 130.20 & 129.32 & 132.70 & 128.14 & 125.85 & 123.23 & 148.03 & 177.79 & 178.28 & 0.2766890 & 129.63 & 2020-01-01 05:00:00\\\\\n\t 2020-01-01 & ETH & 130.30 & 130.75 & 130.26 & 130.44 &  474846.7 & 130.30 & 129.42 & 132.27 & 128.60 & 125.22 & 121.88 & 148.26 & 177.36 & 177.73 & 0.3761707 & 129.42 & 2020-01-01 06:00:00\\\\\n\t 2020-01-01 & ETH & 130.44 & 130.71 & 130.14 & 130.24 &  536082.7 & 130.44 & 128.49 & 132.20 & 128.43 & 125.66 & 121.69 & 148.37 & 177.23 & 177.63 & 0.4379899 & 129.26 & 2020-01-01 07:00:00\\\\\n\t 2020-01-01 & ETH & 130.24 & 130.41 & 129.87 & 130.36 &  955260.7 & 130.24 & 128.39 & 131.78 & 128.65 & 125.88 & 121.66 & 148.01 & 177.85 & 177.73 & 0.4158004 & 130.21 & 2020-01-01 08:00:00\\\\\n\t 2020-01-01 & ETH & 130.36 & 130.62 & 130.13 & 130.17 &  580140.8 & 130.36 & 128.91 & 131.70 & 128.08 & 125.44 & 122.06 & 149.27 & 177.68 & 175.66 & 0.3765465 & 129.98 & 2020-01-01 09:00:00\\\\\n\t 2020-01-01 & ETH & 130.17 & 130.82 & 130.07 & 130.70 &  577170.0 & 130.17 & 129.05 & 131.77 & 128.25 & 124.67 & 123.49 & 149.00 & 175.76 & 176.24 & 0.5766126 & 129.72 & 2020-01-01 10:00:00\\\\\n\t 2020-01-01 & ETH & 130.70 & 131.87 & 130.60 & 130.74 & 1353491.0 & 130.70 & 129.16 & 131.92 & 129.39 & 124.38 & 121.67 & 148.92 & 176.24 & 177.07 & 0.9724349 & 129.53 & 2020-01-01 11:00:00\\\\\n\t 2020-01-01 & ETH & 129.16 & 129.19 & 128.68 & 128.87 &  989909.2 & 130.74 & 131.59 & 131.52 & 127.93 & 126.91 & 124.41 & 150.38 & 179.25 & 178.20 & 0.3963320 & 130.67 & 2020-01-01 12:00:00\\\\\n\t 2020-01-01 & ETH & 131.61 & 131.90 & 131.28 & 131.68 &  910358.2 & 128.87 & 130.64 & 131.53 & 130.93 & 124.36 & 122.26 & 149.44 & 176.02 & 178.49 & 0.4722730 & 129.35 & 2020-01-01 13:00:00\\\\\n\t 2020-01-01 & ETH & 131.68 & 132.37 & 131.24 & 131.96 &  939658.9 & 131.68 & 130.85 & 131.69 & 130.95 & 124.29 & 123.34 & 147.99 & 172.20 & 180.96 & 0.8610180 & 129.37 & 2020-01-01 14:00:00\\\\\n\t 2020-01-01 & ETH & 131.96 & 132.40 & 131.60 & 132.08 &  694662.1 & 131.96 & 130.20 & 129.73 & 131.99 & 124.42 & 127.32 & 148.43 & 171.80 & 181.26 & 0.6079027 & 129.59 & 2020-01-01 15:00:00\\\\\n\t 2020-01-01 & ETH & 132.08 & 132.95 & 131.78 & 132.85 &  870249.5 & 132.08 & 130.20 & 130.07 & 132.90 & 124.15 & 128.47 & 147.75 & 173.66 & 180.50 & 0.8878434 & 127.60 & 2020-01-01 16:00:00\\\\\n\t 2020-01-01 & ETH & 132.85 & 133.05 & 132.27 & 132.34 &  650257.7 & 132.85 & 130.30 & 129.32 & 133.43 & 124.51 & 127.17 & 147.59 & 173.01 & 179.19 & 0.5897029 & 127.40 & 2020-01-01 17:00:00\\\\\n\t 2020-01-01 & ETH & 132.34 & 132.46 & 131.57 & 132.04 &  714182.7 & 132.34 & 130.44 & 129.42 & 133.79 & 124.81 & 127.27 & 147.20 & 172.52 & 179.78 & 0.6764460 & 127.49 & 2020-01-01 18:00:00\\\\\n\t 2020-01-01 & ETH & 132.04 & 132.16 & 131.62 & 131.86 &  273651.8 & 132.04 & 130.24 & 128.49 & 134.85 & 125.43 & 128.74 & 147.52 & 172.26 & 180.34 & 0.4102720 & 127.62 & 2020-01-01 19:00:00\\\\\n\t 2020-01-01 & ETH & 131.86 & 132.25 & 131.70 & 132.18 &  263829.9 & 131.86 & 130.36 & 128.39 & 135.14 & 125.66 & 129.65 & 148.06 & 172.74 & 180.87 & 0.4176158 & 127.16 & 2020-01-01 20:00:00\\\\\n\t 2020-01-01 & ETH & 132.18 & 132.37 & 131.68 & 131.78 &  631701.2 & 132.18 & 130.17 & 128.91 & 134.87 & 125.37 & 130.34 & 148.46 & 173.94 & 180.32 & 0.5239976 & 127.72 & 2020-01-01 21:00:00\\\\\n\t 2020-01-01 & ETH & 131.78 & 131.82 & 129.90 & 130.27 & 1849036.9 & 131.78 & 130.70 & 129.05 & 135.03 & 125.36 & 133.84 & 149.14 & 175.02 & 180.95 & 1.4780600 & 127.39 & 2020-01-01 22:00:00\\\\\n\t 2020-01-01 & ETH & 130.27 & 130.87 & 129.74 & 130.77 &  493054.4 & 130.27 & 130.74 & 129.16 & 134.36 & 125.09 & 132.78 & 148.65 & 174.69 & 178.75 & 0.8709727 & 127.19 & 2020-01-01 23:00:00\\\\\n\t 2020-01-01 & ETH & 130.74 & 131.61 & 130.70 & 131.61 &  536273.4 & 130.77 & 128.87 & 131.59 & 131.04 & 124.64 & 120.61 & 149.07 & 176.17 & 178.68 & 0.6962510 & 129.96 & 2020-01-02 00:00:00\\\\\n\t 2020-01-02 & ETH & 130.67 & 130.67 & 130.12 & 130.15 &  473476.0 & 131.61 & 131.68 & 130.64 & 134.27 & 125.01 & 128.28 & 148.70 & 173.16 & 177.31 & 0.4226868 & 126.04 & 2020-01-02 01:00:00\\\\\n\t 2020-01-02 & ETH & 130.15 & 130.16 & 128.89 & 129.72 & 2365918.3 & 130.15 & 131.96 & 130.85 & 134.37 & 125.30 & 128.48 & 149.24 & 172.45 & 177.83 & 0.9853363 & 126.92 & 2020-01-02 02:00:00\\\\\n\t 2020-01-02 & ETH & 129.72 & 129.72 & 128.77 & 129.10 & 1505923.4 & 129.72 & 132.08 & 130.20 & 134.00 & 124.52 & 129.02 & 149.21 & 172.87 & 179.35 & 0.7377495 & 126.89 & 2020-01-02 03:00:00\\\\\n\t 2020-01-02 & ETH & 129.10 & 129.87 & 128.69 & 129.55 & 1137482.8 & 129.10 & 132.85 & 130.20 & 135.11 & 124.41 & 128.28 & 148.47 & 171.51 & 178.59 & 0.9169322 & 129.30 & 2020-01-02 04:00:00\\\\\n\t 2020-01-02 & ETH & 129.55 & 129.75 & 129.30 & 129.63 &  915493.3 & 129.55 & 132.34 & 130.30 & 134.99 & 124.61 & 128.23 & 148.30 & 172.96 & 178.70 & 0.3480278 & 129.21 & 2020-01-02 05:00:00\\\\\n\t 2020-01-02 & ETH & 129.63 & 129.99 & 129.15 & 129.42 &  575876.8 & 129.63 & 132.04 & 130.44 & 135.17 & 124.98 & 127.60 & 148.68 & 173.38 & 178.55 & 0.6504065 & 129.17 & 2020-01-02 06:00:00\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t 2020-07-30 & ETH & 330.25 & 335.58 & 330.25 & 333.25 & 39030303 & 330.25 & 318.99 & 321.67 & 324.21 & 274.64 & 232.42 & 224.90 & 209.33 & 129.94 & 1.6139288 & 343.71 & 2020-07-30 19:00:00\\\\\n\t 2020-07-30 & ETH & 333.25 & 342.00 & 333.08 & 338.22 & 41397107 & 333.25 & 319.55 & 322.25 & 323.85 & 273.06 & 232.96 & 225.59 & 209.80 & 131.74 & 2.6780353 & 344.94 & 2020-07-30 20:00:00\\\\\n\t 2020-07-30 & ETH & 338.22 & 339.20 & 334.18 & 335.35 & 14531557 & 338.22 & 318.88 & 323.25 & 321.76 & 274.79 & 232.82 & 226.06 & 212.37 & 131.72 & 1.5021845 & 347.24 & 2020-07-30 21:00:00\\\\\n\t 2020-07-30 & ETH & 335.35 & 337.77 & 333.48 & 334.16 &  8973827 & 335.35 & 317.44 & 321.34 & 327.31 & 274.51 & 233.50 & 225.22 & 212.09 & 133.30 & 1.2864340 & 343.71 & 2020-07-30 22:00:00\\\\\n\t 2020-07-30 & ETH & 334.16 & 336.85 & 333.03 & 334.87 &  9926574 & 334.16 & 317.85 & 317.71 & 321.93 & 275.30 & 233.57 & 225.60 & 212.02 & 135.69 & 1.1470438 & 346.33 & 2020-07-30 23:00:00\\\\\n\t 2020-07-30 & ETH & 317.85 & 319.39 & 317.26 & 317.26 &  7806602 & 334.87 & 319.25 & 321.13 & 325.15 & 263.96 & 232.08 & 224.85 & 212.82 & 131.39 & 0.6713736 & 345.29 & 2020-07-31 00:00:00\\\\\n\t 2020-07-31 & ETH & 334.75 & 335.54 & 330.00 & 332.68 & 11343546 & 317.26 & 318.70 & 316.43 & 323.76 & 273.03 & 233.56 & 224.97 & 212.21 & 135.17 & 1.6787879 & 345.22 & 2020-07-31 01:00:00\\\\\n\t 2020-07-31 & ETH & 332.68 & 333.26 & 330.50 & 330.67 &  6480437 & 332.68 & 317.56 & 315.77 & 318.29 & 274.02 & 233.54 & 225.44 & 212.14 & 135.98 & 0.8350983 & 346.65 & 2020-07-31 02:00:00\\\\\n\t 2020-07-31 & ETH & 330.67 & 332.50 & 328.40 & 329.05 &  8481744 & 330.67 & 319.21 & 316.10 & 319.23 & 272.86 & 233.17 & 225.44 & 212.95 & 136.31 & 1.2484775 & 352.26 & 2020-07-31 03:00:00\\\\\n\t 2020-07-31 & ETH & 329.05 & 333.25 & 328.67 & 332.63 &  9408989 & 329.05 & 322.30 & 317.29 & 321.35 & 271.01 & 232.22 & 225.62 & 212.82 & 135.90 & 1.3934950 & 353.82 & 2020-07-31 04:00:00\\\\\n\t 2020-07-31 & ETH & 332.63 & 333.25 & 331.69 & 332.09 &  5881017 & 332.63 & 324.65 & 316.52 & 317.02 & 273.38 & 232.68 & 225.51 & 212.58 & 136.17 & 0.4703187 & 355.59 & 2020-07-31 05:00:00\\\\\n\t 2020-07-31 & ETH & 332.09 & 338.38 & 331.96 & 337.93 & 14620870 & 332.09 & 330.25 & 319.20 & 317.58 & 268.84 & 233.03 & 225.14 & 212.51 & 137.20 & 1.9339679 & 356.02 & 2020-07-31 06:00:00\\\\\n\t 2020-07-31 & ETH & 337.93 & 338.21 & 335.19 & 336.81 & 11799296 & 337.93 & 333.25 & 318.99 & 315.73 & 270.79 & 233.12 & 225.58 & 211.12 & 137.37 & 0.9009815 & 354.99 & 2020-07-31 07:00:00\\\\\n\t 2020-07-31 & ETH & 336.81 & 340.50 & 335.78 & 338.19 & 17598398 & 336.81 & 338.22 & 319.55 & 313.15 & 270.46 & 233.00 & 227.87 & 210.70 & 137.30 & 1.4056823 & 356.71 & 2020-07-31 08:00:00\\\\\n\t 2020-07-31 & ETH & 338.19 & 339.60 & 336.58 & 337.55 & 10020552 & 338.19 & 335.35 & 318.88 & 310.18 & 272.94 & 233.29 & 227.61 & 211.98 & 136.81 & 0.8972607 & 359.21 & 2020-07-31 09:00:00\\\\\n\t 2020-07-31 & ETH & 337.55 & 344.10 & 337.00 & 342.99 & 25681937 & 337.55 & 334.16 & 317.44 & 313.16 & 275.28 & 232.98 & 227.45 & 212.25 & 137.12 & 2.1068249 & 354.92 & 2020-07-31 10:00:00\\\\\n\t 2020-07-31 & ETH & 342.99 & 346.71 & 341.56 & 343.86 & 22152119 & 342.99 & 334.87 & 317.85 & 316.98 & 275.14 & 233.35 & 227.66 & 212.13 & 137.64 & 1.5077878 & 356.13 & 2020-07-31 11:00:00\\\\\n\t 2020-07-31 & ETH & 334.87 & 336.58 & 333.26 & 334.75 &  7757608 & 343.86 & 317.26 & 319.25 & 324.77 & 273.92 & 232.90 & 225.04 & 212.83 & 136.00 & 0.9962192 & 344.01 & 2020-07-31 12:00:00\\\\\n\t 2020-07-31 & ETH & 345.29 & 345.47 & 338.71 & 342.69 & 17942991 & 334.75 & 332.68 & 318.70 & 315.33 & 272.08 & 233.39 & 228.43 & 213.19 & 136.48 & 1.9958076 & 353.52 & 2020-07-31 13:00:00\\\\\n\t 2020-07-31 & ETH & 342.69 & 347.20 & 341.94 & 347.18 & 16435736 & 342.69 & 330.67 & 317.56 & 319.70 & 274.89 & 233.33 & 228.59 & 213.20 & 138.94 & 1.5382816 & 356.15 & 2020-07-31 14:00:00\\\\\n\t 2020-07-31 & ETH & 347.18 & 347.61 & 342.38 & 344.38 & 25799083 & 347.18 & 329.05 & 319.21 & 321.70 & 278.19 & 233.15 & 229.42 & 212.96 & 139.29 & 1.5275425 & 357.89 & 2020-07-31 15:00:00\\\\\n\t 2020-07-31 & ETH & 344.38 & 345.91 & 340.32 & 345.35 & 24722561 & 344.38 & 332.63 & 322.30 & 315.85 & 278.39 & 233.23 & 231.50 & 214.18 & 143.48 & 1.6425717 & 362.09 & 2020-07-31 16:00:00\\\\\n\t 2020-07-31 & ETH & 345.35 & 345.71 & 342.74 & 342.83 &  8677540 & 345.35 & 332.09 & 324.65 & 316.50 & 279.01 & 232.95 & 232.35 & 214.44 & 145.41 & 0.8665461 & 373.25 & 2020-07-31 17:00:00\\\\\n\t 2020-07-31 & ETH & 342.83 & 344.03 & 341.36 & 342.46 &  7270773 & 342.83 & 337.93 & 330.25 & 316.24 & 281.90 & 233.20 & 231.69 & 212.66 & 140.45 & 0.7821655 & 371.20 & 2020-07-31 18:00:00\\\\\n\t 2020-07-31 & ETH & 342.46 & 345.50 & 342.05 & 343.71 &  9065318 & 342.46 & 336.81 & 333.25 & 318.33 & 283.11 & 233.11 & 231.10 & 213.54 & 140.85 & 1.0086245 & 383.30 & 2020-07-31 19:00:00\\\\\n\t 2020-07-31 & ETH & 343.71 & 345.55 & 343.58 & 344.94 &  9285584 & 343.71 & 338.19 & 338.22 & 319.58 & 285.73 & 232.50 & 231.32 & 214.00 & 140.50 & 0.5733745 & 386.00 & 2020-07-31 20:00:00\\\\\n\t 2020-07-31 & ETH & 344.94 & 349.45 & 344.38 & 347.24 & 14932884 & 344.94 & 337.55 & 335.35 & 317.77 & 284.79 & 232.73 & 231.13 & 213.66 & 142.41 & 1.4722109 & 384.34 & 2020-07-31 21:00:00\\\\\n\t 2020-07-31 & ETH & 347.24 & 347.94 & 343.47 & 343.71 & 11751536 & 347.24 & 342.99 & 334.16 & 317.51 & 280.51 & 233.02 & 230.91 & 213.97 & 142.33 & 1.3014237 & 387.33 & 2020-07-31 22:00:00\\\\\n\t 2020-07-31 & ETH & 343.71 & 346.68 & 342.60 & 346.33 & 10317839 & 343.71 & 343.86 & 334.87 & 316.77 & 279.15 & 232.67 & 230.99 & 213.90 & 141.28 & 1.1908932 & 387.00 & 2020-07-31 23:00:00\\\\\n\t 2020-07-31 & ETH & 343.86 & 345.38 & 341.37 & 345.29 & 15854624 & 346.33 & 334.75 & 317.26 & 315.75 & 274.48 & 233.64 & 227.70 & 212.41 & 137.28 & 1.1746785 & 356.97 & 2020-08-01 00:00:00\\\\\n\\end{tabular}\n","text/plain":"     Date       Symbol Open   High   Low    Close  VolumeUSDT CloseLag1Hour\n1    2020-01-01 ETH    128.87 130.65 128.78 130.64 1446167.8  131.59       \n2    2020-01-01 ETH    130.64 130.98 130.35 130.85  980578.7  130.64       \n3    2020-01-01 ETH    130.85 130.89 129.94 130.20  611279.5  130.85       \n4    2020-01-01 ETH    130.20 130.74 130.15 130.20  436380.9  130.20       \n5    2020-01-01 ETH    130.20 130.47 130.11 130.30  546887.9  130.20       \n6    2020-01-01 ETH    130.30 130.75 130.26 130.44  474846.7  130.30       \n7    2020-01-01 ETH    130.44 130.71 130.14 130.24  536082.7  130.44       \n8    2020-01-01 ETH    130.24 130.41 129.87 130.36  955260.7  130.24       \n9    2020-01-01 ETH    130.36 130.62 130.13 130.17  580140.8  130.36       \n10   2020-01-01 ETH    130.17 130.82 130.07 130.70  577170.0  130.17       \n11   2020-01-01 ETH    130.70 131.87 130.60 130.74 1353491.0  130.70       \n12   2020-01-01 ETH    129.16 129.19 128.68 128.87  989909.2  130.74       \n13   2020-01-01 ETH    131.61 131.90 131.28 131.68  910358.2  128.87       \n14   2020-01-01 ETH    131.68 132.37 131.24 131.96  939658.9  131.68       \n15   2020-01-01 ETH    131.96 132.40 131.60 132.08  694662.1  131.96       \n16   2020-01-01 ETH    132.08 132.95 131.78 132.85  870249.5  132.08       \n17   2020-01-01 ETH    132.85 133.05 132.27 132.34  650257.7  132.85       \n18   2020-01-01 ETH    132.34 132.46 131.57 132.04  714182.7  132.34       \n19   2020-01-01 ETH    132.04 132.16 131.62 131.86  273651.8  132.04       \n20   2020-01-01 ETH    131.86 132.25 131.70 132.18  263829.9  131.86       \n21   2020-01-01 ETH    132.18 132.37 131.68 131.78  631701.2  132.18       \n22   2020-01-01 ETH    131.78 131.82 129.90 130.27 1849036.9  131.78       \n23   2020-01-01 ETH    130.27 130.87 129.74 130.77  493054.4  130.27       \n24   2020-01-01 ETH    130.74 131.61 130.70 131.61  536273.4  130.77       \n25   2020-01-02 ETH    130.67 130.67 130.12 130.15  473476.0  131.61       \n26   2020-01-02 ETH    130.15 130.16 128.89 129.72 2365918.3  130.15       \n27   2020-01-02 ETH    129.72 129.72 128.77 129.10 1505923.4  129.72       \n28   2020-01-02 ETH    129.10 129.87 128.69 129.55 1137482.8  129.10       \n29   2020-01-02 ETH    129.55 129.75 129.30 129.63  915493.3  129.55       \n30   2020-01-02 ETH    129.63 129.99 129.15 129.42  575876.8  129.63       \n⋮    ⋮          ⋮      ⋮      ⋮      ⋮      ⋮      ⋮          ⋮            \n5082 2020-07-30 ETH    330.25 335.58 330.25 333.25 39030303   330.25       \n5083 2020-07-30 ETH    333.25 342.00 333.08 338.22 41397107   333.25       \n5084 2020-07-30 ETH    338.22 339.20 334.18 335.35 14531557   338.22       \n5085 2020-07-30 ETH    335.35 337.77 333.48 334.16  8973827   335.35       \n5086 2020-07-30 ETH    334.16 336.85 333.03 334.87  9926574   334.16       \n5087 2020-07-30 ETH    317.85 319.39 317.26 317.26  7806602   334.87       \n5088 2020-07-31 ETH    334.75 335.54 330.00 332.68 11343546   317.26       \n5089 2020-07-31 ETH    332.68 333.26 330.50 330.67  6480437   332.68       \n5090 2020-07-31 ETH    330.67 332.50 328.40 329.05  8481744   330.67       \n5091 2020-07-31 ETH    329.05 333.25 328.67 332.63  9408989   329.05       \n5092 2020-07-31 ETH    332.63 333.25 331.69 332.09  5881017   332.63       \n5093 2020-07-31 ETH    332.09 338.38 331.96 337.93 14620870   332.09       \n5094 2020-07-31 ETH    337.93 338.21 335.19 336.81 11799296   337.93       \n5095 2020-07-31 ETH    336.81 340.50 335.78 338.19 17598398   336.81       \n5096 2020-07-31 ETH    338.19 339.60 336.58 337.55 10020552   338.19       \n5097 2020-07-31 ETH    337.55 344.10 337.00 342.99 25681937   337.55       \n5098 2020-07-31 ETH    342.99 346.71 341.56 343.86 22152119   342.99       \n5099 2020-07-31 ETH    334.87 336.58 333.26 334.75  7757608   343.86       \n5100 2020-07-31 ETH    345.29 345.47 338.71 342.69 17942991   334.75       \n5101 2020-07-31 ETH    342.69 347.20 341.94 347.18 16435736   342.69       \n5102 2020-07-31 ETH    347.18 347.61 342.38 344.38 25799083   347.18       \n5103 2020-07-31 ETH    344.38 345.91 340.32 345.35 24722561   344.38       \n5104 2020-07-31 ETH    345.35 345.71 342.74 342.83  8677540   345.35       \n5105 2020-07-31 ETH    342.83 344.03 341.36 342.46  7270773   342.83       \n5106 2020-07-31 ETH    342.46 345.50 342.05 343.71  9065318   342.46       \n5107 2020-07-31 ETH    343.71 345.55 343.58 344.94  9285584   343.71       \n5108 2020-07-31 ETH    344.94 349.45 344.38 347.24 14932884   344.94       \n5109 2020-07-31 ETH    347.24 347.94 343.47 343.71 11751536   347.24       \n5110 2020-07-31 ETH    343.71 346.68 342.60 346.33 10317839   343.71       \n5111 2020-07-31 ETH    343.86 345.38 341.37 345.29 15854624   346.33       \n     CloseLag12Hour CloseLag24Hour CloseLag3Day CloseLag7Day CloseLag14Day\n1    131.53         131.89         127.60       126.21       124.46       \n2    131.69         131.55         128.07       125.79       124.75       \n3    129.73         131.26         127.94       125.74       123.90       \n4    130.07         131.40         127.95       126.25       123.73       \n5    129.32         132.70         128.14       125.85       123.23       \n6    129.42         132.27         128.60       125.22       121.88       \n7    128.49         132.20         128.43       125.66       121.69       \n8    128.39         131.78         128.65       125.88       121.66       \n9    128.91         131.70         128.08       125.44       122.06       \n10   129.05         131.77         128.25       124.67       123.49       \n11   129.16         131.92         129.39       124.38       121.67       \n12   131.59         131.52         127.93       126.91       124.41       \n13   130.64         131.53         130.93       124.36       122.26       \n14   130.85         131.69         130.95       124.29       123.34       \n15   130.20         129.73         131.99       124.42       127.32       \n16   130.20         130.07         132.90       124.15       128.47       \n17   130.30         129.32         133.43       124.51       127.17       \n18   130.44         129.42         133.79       124.81       127.27       \n19   130.24         128.49         134.85       125.43       128.74       \n20   130.36         128.39         135.14       125.66       129.65       \n21   130.17         128.91         134.87       125.37       130.34       \n22   130.70         129.05         135.03       125.36       133.84       \n23   130.74         129.16         134.36       125.09       132.78       \n24   128.87         131.59         131.04       124.64       120.61       \n25   131.68         130.64         134.27       125.01       128.28       \n26   131.96         130.85         134.37       125.30       128.48       \n27   132.08         130.20         134.00       124.52       129.02       \n28   132.85         130.20         135.11       124.41       128.28       \n29   132.34         130.30         134.99       124.61       128.23       \n30   132.04         130.44         135.17       124.98       127.60       \n⋮    ⋮              ⋮              ⋮            ⋮            ⋮            \n5082 318.99         321.67         324.21       274.64       232.42       \n5083 319.55         322.25         323.85       273.06       232.96       \n5084 318.88         323.25         321.76       274.79       232.82       \n5085 317.44         321.34         327.31       274.51       233.50       \n5086 317.85         317.71         321.93       275.30       233.57       \n5087 319.25         321.13         325.15       263.96       232.08       \n5088 318.70         316.43         323.76       273.03       233.56       \n5089 317.56         315.77         318.29       274.02       233.54       \n5090 319.21         316.10         319.23       272.86       233.17       \n5091 322.30         317.29         321.35       271.01       232.22       \n5092 324.65         316.52         317.02       273.38       232.68       \n5093 330.25         319.20         317.58       268.84       233.03       \n5094 333.25         318.99         315.73       270.79       233.12       \n5095 338.22         319.55         313.15       270.46       233.00       \n5096 335.35         318.88         310.18       272.94       233.29       \n5097 334.16         317.44         313.16       275.28       232.98       \n5098 334.87         317.85         316.98       275.14       233.35       \n5099 317.26         319.25         324.77       273.92       232.90       \n5100 332.68         318.70         315.33       272.08       233.39       \n5101 330.67         317.56         319.70       274.89       233.33       \n5102 329.05         319.21         321.70       278.19       233.15       \n5103 332.63         322.30         315.85       278.39       233.23       \n5104 332.09         324.65         316.50       279.01       232.95       \n5105 337.93         330.25         316.24       281.90       233.20       \n5106 336.81         333.25         318.33       283.11       233.11       \n5107 338.19         338.22         319.58       285.73       232.50       \n5108 337.55         335.35         317.77       284.79       232.73       \n5109 342.99         334.16         317.51       280.51       233.02       \n5110 343.86         334.87         316.77       279.15       232.67       \n5111 334.75         317.26         315.75       274.48       233.64       \n     CloseLag30Day CloseLag90Day CloseLag120Day Volatility Target24HourClose\n1    151.03        179.04        177.06         1.4520888  130.15           \n2    150.93        179.51        177.59         0.4833142  129.72           \n3    150.04        179.05        178.50         0.7311067  129.10           \n4    150.38        178.99        178.79         0.4533231  129.55           \n5    148.03        177.79        178.28         0.2766890  129.63           \n6    148.26        177.36        177.73         0.3761707  129.42           \n7    148.37        177.23        177.63         0.4379899  129.26           \n8    148.01        177.85        177.73         0.4158004  130.21           \n9    149.27        177.68        175.66         0.3765465  129.98           \n10   149.00        175.76        176.24         0.5766126  129.72           \n11   148.92        176.24        177.07         0.9724349  129.53           \n12   150.38        179.25        178.20         0.3963320  130.67           \n13   149.44        176.02        178.49         0.4722730  129.35           \n14   147.99        172.20        180.96         0.8610180  129.37           \n15   148.43        171.80        181.26         0.6079027  129.59           \n16   147.75        173.66        180.50         0.8878434  127.60           \n17   147.59        173.01        179.19         0.5897029  127.40           \n18   147.20        172.52        179.78         0.6764460  127.49           \n19   147.52        172.26        180.34         0.4102720  127.62           \n20   148.06        172.74        180.87         0.4176158  127.16           \n21   148.46        173.94        180.32         0.5239976  127.72           \n22   149.14        175.02        180.95         1.4780600  127.39           \n23   148.65        174.69        178.75         0.8709727  127.19           \n24   149.07        176.17        178.68         0.6962510  129.96           \n25   148.70        173.16        177.31         0.4226868  126.04           \n26   149.24        172.45        177.83         0.9853363  126.92           \n27   149.21        172.87        179.35         0.7377495  126.89           \n28   148.47        171.51        178.59         0.9169322  129.30           \n29   148.30        172.96        178.70         0.3480278  129.21           \n30   148.68        173.38        178.55         0.6504065  129.17           \n⋮    ⋮             ⋮             ⋮              ⋮          ⋮                \n5082 224.90        209.33        129.94         1.6139288  343.71           \n5083 225.59        209.80        131.74         2.6780353  344.94           \n5084 226.06        212.37        131.72         1.5021845  347.24           \n5085 225.22        212.09        133.30         1.2864340  343.71           \n5086 225.60        212.02        135.69         1.1470438  346.33           \n5087 224.85        212.82        131.39         0.6713736  345.29           \n5088 224.97        212.21        135.17         1.6787879  345.22           \n5089 225.44        212.14        135.98         0.8350983  346.65           \n5090 225.44        212.95        136.31         1.2484775  352.26           \n5091 225.62        212.82        135.90         1.3934950  353.82           \n5092 225.51        212.58        136.17         0.4703187  355.59           \n5093 225.14        212.51        137.20         1.9339679  356.02           \n5094 225.58        211.12        137.37         0.9009815  354.99           \n5095 227.87        210.70        137.30         1.4056823  356.71           \n5096 227.61        211.98        136.81         0.8972607  359.21           \n5097 227.45        212.25        137.12         2.1068249  354.92           \n5098 227.66        212.13        137.64         1.5077878  356.13           \n5099 225.04        212.83        136.00         0.9962192  344.01           \n5100 228.43        213.19        136.48         1.9958076  353.52           \n5101 228.59        213.20        138.94         1.5382816  356.15           \n5102 229.42        212.96        139.29         1.5275425  357.89           \n5103 231.50        214.18        143.48         1.6425717  362.09           \n5104 232.35        214.44        145.41         0.8665461  373.25           \n5105 231.69        212.66        140.45         0.7821655  371.20           \n5106 231.10        213.54        140.85         1.0086245  383.30           \n5107 231.32        214.00        140.50         0.5733745  386.00           \n5108 231.13        213.66        142.41         1.4722109  384.34           \n5109 230.91        213.97        142.33         1.3014237  387.33           \n5110 230.99        213.90        141.28         1.1908932  387.00           \n5111 227.70        212.41        137.28         1.1746785  356.97           \n     DateTime           \n1    2020-01-01 01:00:00\n2    2020-01-01 02:00:00\n3    2020-01-01 03:00:00\n4    2020-01-01 04:00:00\n5    2020-01-01 05:00:00\n6    2020-01-01 06:00:00\n7    2020-01-01 07:00:00\n8    2020-01-01 08:00:00\n9    2020-01-01 09:00:00\n10   2020-01-01 10:00:00\n11   2020-01-01 11:00:00\n12   2020-01-01 12:00:00\n13   2020-01-01 13:00:00\n14   2020-01-01 14:00:00\n15   2020-01-01 15:00:00\n16   2020-01-01 16:00:00\n17   2020-01-01 17:00:00\n18   2020-01-01 18:00:00\n19   2020-01-01 19:00:00\n20   2020-01-01 20:00:00\n21   2020-01-01 21:00:00\n22   2020-01-01 22:00:00\n23   2020-01-01 23:00:00\n24   2020-01-02 00:00:00\n25   2020-01-02 01:00:00\n26   2020-01-02 02:00:00\n27   2020-01-02 03:00:00\n28   2020-01-02 04:00:00\n29   2020-01-02 05:00:00\n30   2020-01-02 06:00:00\n⋮    ⋮                  \n5082 2020-07-30 19:00:00\n5083 2020-07-30 20:00:00\n5084 2020-07-30 21:00:00\n5085 2020-07-30 22:00:00\n5086 2020-07-30 23:00:00\n5087 2020-07-31 00:00:00\n5088 2020-07-31 01:00:00\n5089 2020-07-31 02:00:00\n5090 2020-07-31 03:00:00\n5091 2020-07-31 04:00:00\n5092 2020-07-31 05:00:00\n5093 2020-07-31 06:00:00\n5094 2020-07-31 07:00:00\n5095 2020-07-31 08:00:00\n5096 2020-07-31 09:00:00\n5097 2020-07-31 10:00:00\n5098 2020-07-31 11:00:00\n5099 2020-07-31 12:00:00\n5100 2020-07-31 13:00:00\n5101 2020-07-31 14:00:00\n5102 2020-07-31 15:00:00\n5103 2020-07-31 16:00:00\n5104 2020-07-31 17:00:00\n5105 2020-07-31 18:00:00\n5106 2020-07-31 19:00:00\n5107 2020-07-31 20:00:00\n5108 2020-07-31 21:00:00\n5109 2020-07-31 22:00:00\n5110 2020-07-31 23:00:00\n5111 2020-08-01 00:00:00"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"## Clean Data "},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata <- mutate(cryptodata, Volatility = ((High - Low)/Low)*100)","execution_count":7,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##### We can look at the new column `Volatility`"},{"metadata":{"trusted":false},"cell_type":"code","source":"head(cryptodata$Volatility)","execution_count":8,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.list-inline {list-style: none; margin:0; padding: 0}\n.list-inline>li {display: inline-block}\n.list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n</style>\n<ol class=list-inline><li>1.45208883366983</li><li>0.483314154200227</li><li>0.731106664614429</li><li>0.45332308874376</li><li>0.276688955499182</li><li>0.37617073545218</li></ol>\n","text/markdown":"1. 1.45208883366983\n2. 0.483314154200227\n3. 0.731106664614429\n4. 0.45332308874376\n5. 0.276688955499182\n6. 0.37617073545218\n\n\n","text/latex":"\\begin{enumerate*}\n\\item 1.45208883366983\n\\item 0.483314154200227\n\\item 0.731106664614429\n\\item 0.45332308874376\n\\item 0.276688955499182\n\\item 0.37617073545218\n\\end{enumerate*}\n","text/plain":"[1] 1.4520888 0.4833142 0.7311067 0.4533231 0.2766890 0.3761707"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"#### Remove Symbol column:"},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata <- select(cryptodata, -Symbol)","execution_count":9,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"#### Train/Test Split "},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata_train <- head(cryptodata, as.integer(nrow(cryptodata)*.8))","execution_count":10,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata_test <- tail(cryptodata, as.integer(nrow(cryptodata)*.2))","execution_count":11,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Visualization"},{"metadata":{"trusted":false},"cell_type":"code","source":"ggplot(data = cryptodata, aes(x = DateTime, y = Close))","execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/plain":"plot without title","image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAAC0FBMVEUAAAABAQECAgIDAwME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\nlEBAIkogIBElEJCIEghIRAkEJKIE+n9CJOVHWRNhNQAAAABJRU5ErkJggg=="},"metadata":{"text/plain":{"width":420,"height":420},"image/png":{"width":420,"height":420}}}]},{"metadata":{"trusted":false},"cell_type":"code","source":"price_chart <- ggplot(data = cryptodata, aes(x = DateTime, y = Close)) +\n  geom_line()\n# Show chart\nprice_chart","execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":"plot without title","image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAMAAADKOT/pAAADAFBMVEUAAAABAQECAgIDAwME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"},"metadata":{"text/plain":{"width":420,"height":420},"image/png":{"width":420,"height":420}}}]},{"metadata":{},"cell_type":"markdown","source":"## Predictive Models"},{"metadata":{},"cell_type":"markdown","source":"##### Simple linear regression: "},{"metadata":{"trusted":false},"cell_type":"code","source":"lm(data = cryptodata_train, formula = \"Target24HourClose ~ .\")","execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":"\nCall:\nlm(formula = \"Target24HourClose ~ .\", data = cryptodata_train)\n\nCoefficients:\n   (Intercept)            Date            Open            High             Low  \n    -3.942e+02       1.961e-01      -5.768e-01       2.023e-01       6.675e-02  \n         Close      VolumeUSDT   CloseLag1Hour  CloseLag12Hour  CloseLag24Hour  \n     8.878e-01      -1.949e-07       5.406e-01      -2.150e-01       5.520e-02  \n  CloseLag3Day    CloseLag7Day   CloseLag14Day   CloseLag30Day   CloseLag90Day  \n     3.361e-02      -4.882e-02       1.923e-03      -3.517e-02       1.907e-02  \nCloseLag120Day      Volatility        DateTime  \n     1.298e-02       7.903e-01      -2.014e-06  \n"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"##### Making a linear regression model using the `caret` package:"},{"metadata":{"trusted":false},"cell_type":"code","source":"lm_fit <- train(Target24HourClose ~ .,\n                    data = cryptodata_train,\n                    method = \"lm\")","execution_count":15,"outputs":[]},{"metadata":{"scrolled":true,"trusted":false},"cell_type":"code","source":"lm_fit","execution_count":16,"outputs":[{"output_type":"display_data","data":{"text/plain":"Linear Regression \n\n4088 samples\n  17 predictor\n\nNo pre-processing\nResampling: Bootstrapped (25 reps) \nSummary of sample sizes: 4088, 4088, 4088, 4088, 4088, 4088, ... \nResampling results:\n\n  RMSE      Rsquared   MAE     \n  9.590932  0.9486253  6.508789\n\nTuning parameter 'intercept' was held constant at a value of TRUE"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"##### XGBoost model:"},{"metadata":{"trusted":false},"cell_type":"code","source":"xgb_fit <- train(Target24HourClose ~ . ,\n                    data = cryptodata_train,\n                    method = \"xgbLinear\")","execution_count":17,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##### Additional options in `caret::train()`:"},{"metadata":{"trusted":false},"cell_type":"code","source":"svm_fit <- train(Target24HourClose ~ . ,\n                    data = cryptodata_train,\n                    method = \"svmPoly\",\n                    preProc = c(\"center\", \"scale\"))","execution_count":18,"outputs":[]},{"metadata":{"scrolled":true,"trusted":false},"cell_type":"code","source":"svm_fit","execution_count":19,"outputs":[{"output_type":"display_data","data":{"text/plain":"Support Vector Machines with Polynomial Kernel \n\n4088 samples\n  17 predictor\n\nPre-processing: centered (17), scaled (17) \nResampling: Bootstrapped (25 reps) \nSummary of sample sizes: 4088, 4088, 4088, 4088, 4088, 4088, ... \nResampling results across tuning parameters:\n\n  degree  scale  C     RMSE       Rsquared   MAE     \n  1       0.001  0.25  10.292921  0.9417728  6.782129\n  1       0.001  0.50  10.011139  0.9440781  6.563926\n  1       0.001  1.00   9.861014  0.9455491  6.460119\n  1       0.010  0.25   9.746032  0.9467964  6.398851\n  1       0.010  0.50   9.684377  0.9474728  6.375912\n  1       0.010  1.00   9.633933  0.9480159  6.358079\n  1       0.100  0.25   9.587435  0.9485240  6.341356\n  1       0.100  0.50   9.556656  0.9488595  6.329486\n  1       0.100  1.00   9.540353  0.9490372  6.323933\n  2       0.001  0.25   9.999784  0.9441910  6.556757\n  2       0.001  0.50   9.845382  0.9457179  6.453068\n  2       0.001  1.00   9.745234  0.9468067  6.397898\n  2       0.010  0.25   9.441779  0.9500701  6.266045\n  2       0.010  0.50   9.307349  0.9514823  6.192598\n  2       0.010  1.00   9.156561  0.9530500  6.109713\n  2       0.100  0.25   8.641731  0.9581879  5.913876\n  2       0.100  0.50   8.569910  0.9588848  5.897489\n  2       0.100  1.00   8.520968  0.9593349  5.879579\n  3       0.001  0.25   9.888782  0.9452821  6.482735\n  3       0.001  0.50   9.765453  0.9465919  6.410071\n  3       0.001  1.00   9.662793  0.9477116  6.359969\n  3       0.010  0.25   9.057483  0.9540307  5.980623\n  3       0.010  0.50   8.829330  0.9562793  5.833858\n  3       0.010  1.00   8.647254  0.9579747  5.699505\n  3       0.100  0.25   8.218594  0.9600359  4.771630\n  3       0.100  0.50   8.977690  0.9500645  4.699465\n  3       0.100  1.00  10.460959  0.9297881  4.696374\n\nRMSE was used to select the optimal model using the smallest value.\nThe final values used for the model were degree = 3, scale = 0.1 and C = 0.25."},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"#### Time-Aware Cross Validation"},{"metadata":{"trusted":false},"cell_type":"code","source":"train_control <- trainControl(method = \"timeslice\",\n                              initialWindow = 100*24,\n                              horizon = 30*24,\n                              fixedWindow = TRUE,\n                              number = 5)","execution_count":20,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##### Linear Model with cross validation:"},{"metadata":{"trusted":false},"cell_type":"code","source":"lm_fit <- train(Target24HourClose ~ . ,\n                    data = cryptodata_train,\n                    method = \"lm\",\n                    trControl = train_control)","execution_count":21,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"lm_fit","execution_count":22,"outputs":[{"output_type":"display_data","data":{"text/plain":"Linear Regression \n\n4088 samples\n  17 predictor\n\nNo pre-processing\nResampling: Rolling Forecasting Origin Resampling (720 held-out with a fixed window) \nSummary of sample sizes: 2400, 2400, 2400, 2400, 2400, 2400, ... \nResampling results:\n\n  RMSE      Rsquared   MAE     \n  15.25791  0.4864379  12.28322\n\nTuning parameter 'intercept' was held constant at a value of TRUE"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"##### Using XGBoost with cross validation: (Commented out because takes a long time)"},{"metadata":{"trusted":false},"cell_type":"code","source":"#xgb_fit <- train(Target24HourClose ~ . ,\n#                    data = cryptodata_train,\n#                    method = \"xgbLinear\",\n#                    trControl = train_control)","execution_count":23,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"#xgb_fit","execution_count":24,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Make Predictions"},{"metadata":{"trusted":false},"cell_type":"code","source":"lm_pred <- predict(lm_fit, newdata = cryptodata_test)","execution_count":25,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"head(lm_pred)","execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.dl-inline {width: auto; margin:0; padding: 0}\n.dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n.dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n.dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n</style><dl class=dl-inline><dt>1</dt><dd>228.932482276959</dd><dt>2</dt><dd>228.487985827551</dd><dt>3</dt><dd>230.209274179369</dd><dt>4</dt><dd>230.241806782743</dd><dt>5</dt><dd>230.362300675928</dd><dt>6</dt><dd>229.179331555277</dd></dl>\n","text/markdown":"1\n:   228.9324822769592\n:   228.4879858275513\n:   230.2092741793694\n:   230.2418067827435\n:   230.3623006759286\n:   229.179331555277\n\n","text/latex":"\\begin{description*}\n\\item[1] 228.932482276959\n\\item[2] 228.487985827551\n\\item[3] 230.209274179369\n\\item[4] 230.241806782743\n\\item[5] 230.362300675928\n\\item[6] 229.179331555277\n\\end{description*}\n","text/plain":"       1        2        3        4        5        6 \n228.9325 228.4880 230.2093 230.2418 230.3623 229.1793 "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Evaluate Performance"},{"metadata":{"trusted":false},"cell_type":"code","source":"postResample(pred = lm_pred, obs = cryptodata_test$Close)","execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/html":"<style>\n.dl-inline {width: auto; margin:0; padding: 0}\n.dl-inline>dt, .dl-inline>dd {float: none; width: auto; display: inline-block}\n.dl-inline>dt::after {content: \":\\0020\"; padding-right: .5ex}\n.dl-inline>dt:not(:first-of-type) {padding-left: .5ex}\n</style><dl class=dl-inline><dt>RMSE</dt><dd>3.09743981197164</dd><dt>Rsquared</dt><dd>0.997123729654404</dd><dt>MAE</dt><dd>2.58011346492837</dd></dl>\n","text/markdown":"RMSE\n:   3.09743981197164Rsquared\n:   0.997123729654404MAE\n:   2.58011346492837\n\n","text/latex":"\\begin{description*}\n\\item[RMSE] 3.09743981197164\n\\item[Rsquared] 0.997123729654404\n\\item[MAE] 2.58011346492837\n\\end{description*}\n","text/plain":"     RMSE  Rsquared       MAE \n3.0974398 0.9971237 2.5801135 "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"## Timeseries Data Prep"},{"metadata":{},"cell_type":"markdown","source":"#### Make a tsibble"},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata_ts <- as_tsibble(cryptodata, index = DateTime)","execution_count":28,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata_ts","execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tbl_ts: 5111 × 18</caption>\n<thead>\n\t<tr><th scope=col>Date</th><th scope=col>Open</th><th scope=col>High</th><th scope=col>Low</th><th scope=col>Close</th><th scope=col>VolumeUSDT</th><th scope=col>CloseLag1Hour</th><th scope=col>CloseLag12Hour</th><th scope=col>CloseLag24Hour</th><th scope=col>CloseLag3Day</th><th scope=col>CloseLag7Day</th><th scope=col>CloseLag14Day</th><th scope=col>CloseLag30Day</th><th scope=col>CloseLag90Day</th><th scope=col>CloseLag120Day</th><th scope=col>Volatility</th><th scope=col>Target24HourClose</th><th scope=col>DateTime</th></tr>\n\t<tr><th scope=col>&lt;date&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dttm&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>2020-01-01</td><td>128.87</td><td>130.65</td><td>128.78</td><td>130.64</td><td>1446167.8</td><td>131.59</td><td>131.53</td><td>131.89</td><td>127.60</td><td>126.21</td><td>124.46</td><td>151.03</td><td>179.04</td><td>177.06</td><td>1.4520888</td><td>130.15</td><td>2020-01-01 01:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.64</td><td>130.98</td><td>130.35</td><td>130.85</td><td> 980578.7</td><td>130.64</td><td>131.69</td><td>131.55</td><td>128.07</td><td>125.79</td><td>124.75</td><td>150.93</td><td>179.51</td><td>177.59</td><td>0.4833142</td><td>129.72</td><td>2020-01-01 02:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.85</td><td>130.89</td><td>129.94</td><td>130.20</td><td> 611279.5</td><td>130.85</td><td>129.73</td><td>131.26</td><td>127.94</td><td>125.74</td><td>123.90</td><td>150.04</td><td>179.05</td><td>178.50</td><td>0.7311067</td><td>129.10</td><td>2020-01-01 03:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.20</td><td>130.74</td><td>130.15</td><td>130.20</td><td> 436380.9</td><td>130.20</td><td>130.07</td><td>131.40</td><td>127.95</td><td>126.25</td><td>123.73</td><td>150.38</td><td>178.99</td><td>178.79</td><td>0.4533231</td><td>129.55</td><td>2020-01-01 04:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.20</td><td>130.47</td><td>130.11</td><td>130.30</td><td> 546887.9</td><td>130.20</td><td>129.32</td><td>132.70</td><td>128.14</td><td>125.85</td><td>123.23</td><td>148.03</td><td>177.79</td><td>178.28</td><td>0.2766890</td><td>129.63</td><td>2020-01-01 05:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.30</td><td>130.75</td><td>130.26</td><td>130.44</td><td> 474846.7</td><td>130.30</td><td>129.42</td><td>132.27</td><td>128.60</td><td>125.22</td><td>121.88</td><td>148.26</td><td>177.36</td><td>177.73</td><td>0.3761707</td><td>129.42</td><td>2020-01-01 06:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.44</td><td>130.71</td><td>130.14</td><td>130.24</td><td> 536082.7</td><td>130.44</td><td>128.49</td><td>132.20</td><td>128.43</td><td>125.66</td><td>121.69</td><td>148.37</td><td>177.23</td><td>177.63</td><td>0.4379899</td><td>129.26</td><td>2020-01-01 07:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.24</td><td>130.41</td><td>129.87</td><td>130.36</td><td> 955260.7</td><td>130.24</td><td>128.39</td><td>131.78</td><td>128.65</td><td>125.88</td><td>121.66</td><td>148.01</td><td>177.85</td><td>177.73</td><td>0.4158004</td><td>130.21</td><td>2020-01-01 08:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.36</td><td>130.62</td><td>130.13</td><td>130.17</td><td> 580140.8</td><td>130.36</td><td>128.91</td><td>131.70</td><td>128.08</td><td>125.44</td><td>122.06</td><td>149.27</td><td>177.68</td><td>175.66</td><td>0.3765465</td><td>129.98</td><td>2020-01-01 09:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.17</td><td>130.82</td><td>130.07</td><td>130.70</td><td> 577170.0</td><td>130.17</td><td>129.05</td><td>131.77</td><td>128.25</td><td>124.67</td><td>123.49</td><td>149.00</td><td>175.76</td><td>176.24</td><td>0.5766126</td><td>129.72</td><td>2020-01-01 10:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.70</td><td>131.87</td><td>130.60</td><td>130.74</td><td>1353491.0</td><td>130.70</td><td>129.16</td><td>131.92</td><td>129.39</td><td>124.38</td><td>121.67</td><td>148.92</td><td>176.24</td><td>177.07</td><td>0.9724349</td><td>129.53</td><td>2020-01-01 11:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>129.16</td><td>129.19</td><td>128.68</td><td>128.87</td><td> 989909.2</td><td>130.74</td><td>131.59</td><td>131.52</td><td>127.93</td><td>126.91</td><td>124.41</td><td>150.38</td><td>179.25</td><td>178.20</td><td>0.3963320</td><td>130.67</td><td>2020-01-01 12:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>131.61</td><td>131.90</td><td>131.28</td><td>131.68</td><td> 910358.2</td><td>128.87</td><td>130.64</td><td>131.53</td><td>130.93</td><td>124.36</td><td>122.26</td><td>149.44</td><td>176.02</td><td>178.49</td><td>0.4722730</td><td>129.35</td><td>2020-01-01 13:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>131.68</td><td>132.37</td><td>131.24</td><td>131.96</td><td> 939658.9</td><td>131.68</td><td>130.85</td><td>131.69</td><td>130.95</td><td>124.29</td><td>123.34</td><td>147.99</td><td>172.20</td><td>180.96</td><td>0.8610180</td><td>129.37</td><td>2020-01-01 14:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>131.96</td><td>132.40</td><td>131.60</td><td>132.08</td><td> 694662.1</td><td>131.96</td><td>130.20</td><td>129.73</td><td>131.99</td><td>124.42</td><td>127.32</td><td>148.43</td><td>171.80</td><td>181.26</td><td>0.6079027</td><td>129.59</td><td>2020-01-01 15:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>132.08</td><td>132.95</td><td>131.78</td><td>132.85</td><td> 870249.5</td><td>132.08</td><td>130.20</td><td>130.07</td><td>132.90</td><td>124.15</td><td>128.47</td><td>147.75</td><td>173.66</td><td>180.50</td><td>0.8878434</td><td>127.60</td><td>2020-01-01 16:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>132.85</td><td>133.05</td><td>132.27</td><td>132.34</td><td> 650257.7</td><td>132.85</td><td>130.30</td><td>129.32</td><td>133.43</td><td>124.51</td><td>127.17</td><td>147.59</td><td>173.01</td><td>179.19</td><td>0.5897029</td><td>127.40</td><td>2020-01-01 17:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>132.34</td><td>132.46</td><td>131.57</td><td>132.04</td><td> 714182.7</td><td>132.34</td><td>130.44</td><td>129.42</td><td>133.79</td><td>124.81</td><td>127.27</td><td>147.20</td><td>172.52</td><td>179.78</td><td>0.6764460</td><td>127.49</td><td>2020-01-01 18:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>132.04</td><td>132.16</td><td>131.62</td><td>131.86</td><td> 273651.8</td><td>132.04</td><td>130.24</td><td>128.49</td><td>134.85</td><td>125.43</td><td>128.74</td><td>147.52</td><td>172.26</td><td>180.34</td><td>0.4102720</td><td>127.62</td><td>2020-01-01 19:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>131.86</td><td>132.25</td><td>131.70</td><td>132.18</td><td> 263829.9</td><td>131.86</td><td>130.36</td><td>128.39</td><td>135.14</td><td>125.66</td><td>129.65</td><td>148.06</td><td>172.74</td><td>180.87</td><td>0.4176158</td><td>127.16</td><td>2020-01-01 20:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>132.18</td><td>132.37</td><td>131.68</td><td>131.78</td><td> 631701.2</td><td>132.18</td><td>130.17</td><td>128.91</td><td>134.87</td><td>125.37</td><td>130.34</td><td>148.46</td><td>173.94</td><td>180.32</td><td>0.5239976</td><td>127.72</td><td>2020-01-01 21:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>131.78</td><td>131.82</td><td>129.90</td><td>130.27</td><td>1849036.9</td><td>131.78</td><td>130.70</td><td>129.05</td><td>135.03</td><td>125.36</td><td>133.84</td><td>149.14</td><td>175.02</td><td>180.95</td><td>1.4780600</td><td>127.39</td><td>2020-01-01 22:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.27</td><td>130.87</td><td>129.74</td><td>130.77</td><td> 493054.4</td><td>130.27</td><td>130.74</td><td>129.16</td><td>134.36</td><td>125.09</td><td>132.78</td><td>148.65</td><td>174.69</td><td>178.75</td><td>0.8709727</td><td>127.19</td><td>2020-01-01 23:00:00</td></tr>\n\t<tr><td>2020-01-01</td><td>130.74</td><td>131.61</td><td>130.70</td><td>131.61</td><td> 536273.4</td><td>130.77</td><td>128.87</td><td>131.59</td><td>131.04</td><td>124.64</td><td>120.61</td><td>149.07</td><td>176.17</td><td>178.68</td><td>0.6962510</td><td>129.96</td><td>2020-01-02 00:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>130.67</td><td>130.67</td><td>130.12</td><td>130.15</td><td> 473476.0</td><td>131.61</td><td>131.68</td><td>130.64</td><td>134.27</td><td>125.01</td><td>128.28</td><td>148.70</td><td>173.16</td><td>177.31</td><td>0.4226868</td><td>126.04</td><td>2020-01-02 01:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>130.15</td><td>130.16</td><td>128.89</td><td>129.72</td><td>2365918.3</td><td>130.15</td><td>131.96</td><td>130.85</td><td>134.37</td><td>125.30</td><td>128.48</td><td>149.24</td><td>172.45</td><td>177.83</td><td>0.9853363</td><td>126.92</td><td>2020-01-02 02:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>129.72</td><td>129.72</td><td>128.77</td><td>129.10</td><td>1505923.4</td><td>129.72</td><td>132.08</td><td>130.20</td><td>134.00</td><td>124.52</td><td>129.02</td><td>149.21</td><td>172.87</td><td>179.35</td><td>0.7377495</td><td>126.89</td><td>2020-01-02 03:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>129.10</td><td>129.87</td><td>128.69</td><td>129.55</td><td>1137482.8</td><td>129.10</td><td>132.85</td><td>130.20</td><td>135.11</td><td>124.41</td><td>128.28</td><td>148.47</td><td>171.51</td><td>178.59</td><td>0.9169322</td><td>129.30</td><td>2020-01-02 04:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>129.55</td><td>129.75</td><td>129.30</td><td>129.63</td><td> 915493.3</td><td>129.55</td><td>132.34</td><td>130.30</td><td>134.99</td><td>124.61</td><td>128.23</td><td>148.30</td><td>172.96</td><td>178.70</td><td>0.3480278</td><td>129.21</td><td>2020-01-02 05:00:00</td></tr>\n\t<tr><td>2020-01-02</td><td>129.63</td><td>129.99</td><td>129.15</td><td>129.42</td><td> 575876.8</td><td>129.63</td><td>132.04</td><td>130.44</td><td>135.17</td><td>124.98</td><td>127.60</td><td>148.68</td><td>173.38</td><td>178.55</td><td>0.6504065</td><td>129.17</td><td>2020-01-02 06:00:00</td></tr>\n\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><td>2020-07-30</td><td>330.25</td><td>335.58</td><td>330.25</td><td>333.25</td><td>39030303</td><td>330.25</td><td>318.99</td><td>321.67</td><td>324.21</td><td>274.64</td><td>232.42</td><td>224.90</td><td>209.33</td><td>129.94</td><td>1.6139288</td><td>343.71</td><td>2020-07-30 19:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>333.25</td><td>342.00</td><td>333.08</td><td>338.22</td><td>41397107</td><td>333.25</td><td>319.55</td><td>322.25</td><td>323.85</td><td>273.06</td><td>232.96</td><td>225.59</td><td>209.80</td><td>131.74</td><td>2.6780353</td><td>344.94</td><td>2020-07-30 20:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>338.22</td><td>339.20</td><td>334.18</td><td>335.35</td><td>14531557</td><td>338.22</td><td>318.88</td><td>323.25</td><td>321.76</td><td>274.79</td><td>232.82</td><td>226.06</td><td>212.37</td><td>131.72</td><td>1.5021845</td><td>347.24</td><td>2020-07-30 21:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>335.35</td><td>337.77</td><td>333.48</td><td>334.16</td><td> 8973827</td><td>335.35</td><td>317.44</td><td>321.34</td><td>327.31</td><td>274.51</td><td>233.50</td><td>225.22</td><td>212.09</td><td>133.30</td><td>1.2864340</td><td>343.71</td><td>2020-07-30 22:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>334.16</td><td>336.85</td><td>333.03</td><td>334.87</td><td> 9926574</td><td>334.16</td><td>317.85</td><td>317.71</td><td>321.93</td><td>275.30</td><td>233.57</td><td>225.60</td><td>212.02</td><td>135.69</td><td>1.1470438</td><td>346.33</td><td>2020-07-30 23:00:00</td></tr>\n\t<tr><td>2020-07-30</td><td>317.85</td><td>319.39</td><td>317.26</td><td>317.26</td><td> 7806602</td><td>334.87</td><td>319.25</td><td>321.13</td><td>325.15</td><td>263.96</td><td>232.08</td><td>224.85</td><td>212.82</td><td>131.39</td><td>0.6713736</td><td>345.29</td><td>2020-07-31 00:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>334.75</td><td>335.54</td><td>330.00</td><td>332.68</td><td>11343546</td><td>317.26</td><td>318.70</td><td>316.43</td><td>323.76</td><td>273.03</td><td>233.56</td><td>224.97</td><td>212.21</td><td>135.17</td><td>1.6787879</td><td>345.22</td><td>2020-07-31 01:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>332.68</td><td>333.26</td><td>330.50</td><td>330.67</td><td> 6480437</td><td>332.68</td><td>317.56</td><td>315.77</td><td>318.29</td><td>274.02</td><td>233.54</td><td>225.44</td><td>212.14</td><td>135.98</td><td>0.8350983</td><td>346.65</td><td>2020-07-31 02:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>330.67</td><td>332.50</td><td>328.40</td><td>329.05</td><td> 8481744</td><td>330.67</td><td>319.21</td><td>316.10</td><td>319.23</td><td>272.86</td><td>233.17</td><td>225.44</td><td>212.95</td><td>136.31</td><td>1.2484775</td><td>352.26</td><td>2020-07-31 03:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>329.05</td><td>333.25</td><td>328.67</td><td>332.63</td><td> 9408989</td><td>329.05</td><td>322.30</td><td>317.29</td><td>321.35</td><td>271.01</td><td>232.22</td><td>225.62</td><td>212.82</td><td>135.90</td><td>1.3934950</td><td>353.82</td><td>2020-07-31 04:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>332.63</td><td>333.25</td><td>331.69</td><td>332.09</td><td> 5881017</td><td>332.63</td><td>324.65</td><td>316.52</td><td>317.02</td><td>273.38</td><td>232.68</td><td>225.51</td><td>212.58</td><td>136.17</td><td>0.4703187</td><td>355.59</td><td>2020-07-31 05:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>332.09</td><td>338.38</td><td>331.96</td><td>337.93</td><td>14620870</td><td>332.09</td><td>330.25</td><td>319.20</td><td>317.58</td><td>268.84</td><td>233.03</td><td>225.14</td><td>212.51</td><td>137.20</td><td>1.9339679</td><td>356.02</td><td>2020-07-31 06:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>337.93</td><td>338.21</td><td>335.19</td><td>336.81</td><td>11799296</td><td>337.93</td><td>333.25</td><td>318.99</td><td>315.73</td><td>270.79</td><td>233.12</td><td>225.58</td><td>211.12</td><td>137.37</td><td>0.9009815</td><td>354.99</td><td>2020-07-31 07:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>336.81</td><td>340.50</td><td>335.78</td><td>338.19</td><td>17598398</td><td>336.81</td><td>338.22</td><td>319.55</td><td>313.15</td><td>270.46</td><td>233.00</td><td>227.87</td><td>210.70</td><td>137.30</td><td>1.4056823</td><td>356.71</td><td>2020-07-31 08:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>338.19</td><td>339.60</td><td>336.58</td><td>337.55</td><td>10020552</td><td>338.19</td><td>335.35</td><td>318.88</td><td>310.18</td><td>272.94</td><td>233.29</td><td>227.61</td><td>211.98</td><td>136.81</td><td>0.8972607</td><td>359.21</td><td>2020-07-31 09:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>337.55</td><td>344.10</td><td>337.00</td><td>342.99</td><td>25681937</td><td>337.55</td><td>334.16</td><td>317.44</td><td>313.16</td><td>275.28</td><td>232.98</td><td>227.45</td><td>212.25</td><td>137.12</td><td>2.1068249</td><td>354.92</td><td>2020-07-31 10:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>342.99</td><td>346.71</td><td>341.56</td><td>343.86</td><td>22152119</td><td>342.99</td><td>334.87</td><td>317.85</td><td>316.98</td><td>275.14</td><td>233.35</td><td>227.66</td><td>212.13</td><td>137.64</td><td>1.5077878</td><td>356.13</td><td>2020-07-31 11:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>334.87</td><td>336.58</td><td>333.26</td><td>334.75</td><td> 7757608</td><td>343.86</td><td>317.26</td><td>319.25</td><td>324.77</td><td>273.92</td><td>232.90</td><td>225.04</td><td>212.83</td><td>136.00</td><td>0.9962192</td><td>344.01</td><td>2020-07-31 12:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>345.29</td><td>345.47</td><td>338.71</td><td>342.69</td><td>17942991</td><td>334.75</td><td>332.68</td><td>318.70</td><td>315.33</td><td>272.08</td><td>233.39</td><td>228.43</td><td>213.19</td><td>136.48</td><td>1.9958076</td><td>353.52</td><td>2020-07-31 13:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>342.69</td><td>347.20</td><td>341.94</td><td>347.18</td><td>16435736</td><td>342.69</td><td>330.67</td><td>317.56</td><td>319.70</td><td>274.89</td><td>233.33</td><td>228.59</td><td>213.20</td><td>138.94</td><td>1.5382816</td><td>356.15</td><td>2020-07-31 14:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>347.18</td><td>347.61</td><td>342.38</td><td>344.38</td><td>25799083</td><td>347.18</td><td>329.05</td><td>319.21</td><td>321.70</td><td>278.19</td><td>233.15</td><td>229.42</td><td>212.96</td><td>139.29</td><td>1.5275425</td><td>357.89</td><td>2020-07-31 15:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>344.38</td><td>345.91</td><td>340.32</td><td>345.35</td><td>24722561</td><td>344.38</td><td>332.63</td><td>322.30</td><td>315.85</td><td>278.39</td><td>233.23</td><td>231.50</td><td>214.18</td><td>143.48</td><td>1.6425717</td><td>362.09</td><td>2020-07-31 16:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>345.35</td><td>345.71</td><td>342.74</td><td>342.83</td><td> 8677540</td><td>345.35</td><td>332.09</td><td>324.65</td><td>316.50</td><td>279.01</td><td>232.95</td><td>232.35</td><td>214.44</td><td>145.41</td><td>0.8665461</td><td>373.25</td><td>2020-07-31 17:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>342.83</td><td>344.03</td><td>341.36</td><td>342.46</td><td> 7270773</td><td>342.83</td><td>337.93</td><td>330.25</td><td>316.24</td><td>281.90</td><td>233.20</td><td>231.69</td><td>212.66</td><td>140.45</td><td>0.7821655</td><td>371.20</td><td>2020-07-31 18:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>342.46</td><td>345.50</td><td>342.05</td><td>343.71</td><td> 9065318</td><td>342.46</td><td>336.81</td><td>333.25</td><td>318.33</td><td>283.11</td><td>233.11</td><td>231.10</td><td>213.54</td><td>140.85</td><td>1.0086245</td><td>383.30</td><td>2020-07-31 19:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>343.71</td><td>345.55</td><td>343.58</td><td>344.94</td><td> 9285584</td><td>343.71</td><td>338.19</td><td>338.22</td><td>319.58</td><td>285.73</td><td>232.50</td><td>231.32</td><td>214.00</td><td>140.50</td><td>0.5733745</td><td>386.00</td><td>2020-07-31 20:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>344.94</td><td>349.45</td><td>344.38</td><td>347.24</td><td>14932884</td><td>344.94</td><td>337.55</td><td>335.35</td><td>317.77</td><td>284.79</td><td>232.73</td><td>231.13</td><td>213.66</td><td>142.41</td><td>1.4722109</td><td>384.34</td><td>2020-07-31 21:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>347.24</td><td>347.94</td><td>343.47</td><td>343.71</td><td>11751536</td><td>347.24</td><td>342.99</td><td>334.16</td><td>317.51</td><td>280.51</td><td>233.02</td><td>230.91</td><td>213.97</td><td>142.33</td><td>1.3014237</td><td>387.33</td><td>2020-07-31 22:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>343.71</td><td>346.68</td><td>342.60</td><td>346.33</td><td>10317839</td><td>343.71</td><td>343.86</td><td>334.87</td><td>316.77</td><td>279.15</td><td>232.67</td><td>230.99</td><td>213.90</td><td>141.28</td><td>1.1908932</td><td>387.00</td><td>2020-07-31 23:00:00</td></tr>\n\t<tr><td>2020-07-31</td><td>343.86</td><td>345.38</td><td>341.37</td><td>345.29</td><td>15854624</td><td>346.33</td><td>334.75</td><td>317.26</td><td>315.75</td><td>274.48</td><td>233.64</td><td>227.70</td><td>212.41</td><td>137.28</td><td>1.1746785</td><td>356.97</td><td>2020-08-01 00:00:00</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tbl_ts: 5111 × 18\n\n| Date &lt;date&gt; | Open &lt;dbl&gt; | High &lt;dbl&gt; | Low &lt;dbl&gt; | Close &lt;dbl&gt; | VolumeUSDT &lt;dbl&gt; | CloseLag1Hour &lt;dbl&gt; | CloseLag12Hour &lt;dbl&gt; | CloseLag24Hour &lt;dbl&gt; | CloseLag3Day &lt;dbl&gt; | CloseLag7Day &lt;dbl&gt; | CloseLag14Day &lt;dbl&gt; | CloseLag30Day &lt;dbl&gt; | CloseLag90Day &lt;dbl&gt; | CloseLag120Day &lt;dbl&gt; | Volatility &lt;dbl&gt; | Target24HourClose &lt;dbl&gt; | DateTime &lt;dttm&gt; |\n|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| 2020-01-01 | 128.87 | 130.65 | 128.78 | 130.64 | 1446167.8 | 131.59 | 131.53 | 131.89 | 127.60 | 126.21 | 124.46 | 151.03 | 179.04 | 177.06 | 1.4520888 | 130.15 | 2020-01-01 01:00:00 |\n| 2020-01-01 | 130.64 | 130.98 | 130.35 | 130.85 |  980578.7 | 130.64 | 131.69 | 131.55 | 128.07 | 125.79 | 124.75 | 150.93 | 179.51 | 177.59 | 0.4833142 | 129.72 | 2020-01-01 02:00:00 |\n| 2020-01-01 | 130.85 | 130.89 | 129.94 | 130.20 |  611279.5 | 130.85 | 129.73 | 131.26 | 127.94 | 125.74 | 123.90 | 150.04 | 179.05 | 178.50 | 0.7311067 | 129.10 | 2020-01-01 03:00:00 |\n| 2020-01-01 | 130.20 | 130.74 | 130.15 | 130.20 |  436380.9 | 130.20 | 130.07 | 131.40 | 127.95 | 126.25 | 123.73 | 150.38 | 178.99 | 178.79 | 0.4533231 | 129.55 | 2020-01-01 04:00:00 |\n| 2020-01-01 | 130.20 | 130.47 | 130.11 | 130.30 |  546887.9 | 130.20 | 129.32 | 132.70 | 128.14 | 125.85 | 123.23 | 148.03 | 177.79 | 178.28 | 0.2766890 | 129.63 | 2020-01-01 05:00:00 |\n| 2020-01-01 | 130.30 | 130.75 | 130.26 | 130.44 |  474846.7 | 130.30 | 129.42 | 132.27 | 128.60 | 125.22 | 121.88 | 148.26 | 177.36 | 177.73 | 0.3761707 | 129.42 | 2020-01-01 06:00:00 |\n| 2020-01-01 | 130.44 | 130.71 | 130.14 | 130.24 |  536082.7 | 130.44 | 128.49 | 132.20 | 128.43 | 125.66 | 121.69 | 148.37 | 177.23 | 177.63 | 0.4379899 | 129.26 | 2020-01-01 07:00:00 |\n| 2020-01-01 | 130.24 | 130.41 | 129.87 | 130.36 |  955260.7 | 130.24 | 128.39 | 131.78 | 128.65 | 125.88 | 121.66 | 148.01 | 177.85 | 177.73 | 0.4158004 | 130.21 | 2020-01-01 08:00:00 |\n| 2020-01-01 | 130.36 | 130.62 | 130.13 | 130.17 |  580140.8 | 130.36 | 128.91 | 131.70 | 128.08 | 125.44 | 122.06 | 149.27 | 177.68 | 175.66 | 0.3765465 | 129.98 | 2020-01-01 09:00:00 |\n| 2020-01-01 | 130.17 | 130.82 | 130.07 | 130.70 |  577170.0 | 130.17 | 129.05 | 131.77 | 128.25 | 124.67 | 123.49 | 149.00 | 175.76 | 176.24 | 0.5766126 | 129.72 | 2020-01-01 10:00:00 |\n| 2020-01-01 | 130.70 | 131.87 | 130.60 | 130.74 | 1353491.0 | 130.70 | 129.16 | 131.92 | 129.39 | 124.38 | 121.67 | 148.92 | 176.24 | 177.07 | 0.9724349 | 129.53 | 2020-01-01 11:00:00 |\n| 2020-01-01 | 129.16 | 129.19 | 128.68 | 128.87 |  989909.2 | 130.74 | 131.59 | 131.52 | 127.93 | 126.91 | 124.41 | 150.38 | 179.25 | 178.20 | 0.3963320 | 130.67 | 2020-01-01 12:00:00 |\n| 2020-01-01 | 131.61 | 131.90 | 131.28 | 131.68 |  910358.2 | 128.87 | 130.64 | 131.53 | 130.93 | 124.36 | 122.26 | 149.44 | 176.02 | 178.49 | 0.4722730 | 129.35 | 2020-01-01 13:00:00 |\n| 2020-01-01 | 131.68 | 132.37 | 131.24 | 131.96 |  939658.9 | 131.68 | 130.85 | 131.69 | 130.95 | 124.29 | 123.34 | 147.99 | 172.20 | 180.96 | 0.8610180 | 129.37 | 2020-01-01 14:00:00 |\n| 2020-01-01 | 131.96 | 132.40 | 131.60 | 132.08 |  694662.1 | 131.96 | 130.20 | 129.73 | 131.99 | 124.42 | 127.32 | 148.43 | 171.80 | 181.26 | 0.6079027 | 129.59 | 2020-01-01 15:00:00 |\n| 2020-01-01 | 132.08 | 132.95 | 131.78 | 132.85 |  870249.5 | 132.08 | 130.20 | 130.07 | 132.90 | 124.15 | 128.47 | 147.75 | 173.66 | 180.50 | 0.8878434 | 127.60 | 2020-01-01 16:00:00 |\n| 2020-01-01 | 132.85 | 133.05 | 132.27 | 132.34 |  650257.7 | 132.85 | 130.30 | 129.32 | 133.43 | 124.51 | 127.17 | 147.59 | 173.01 | 179.19 | 0.5897029 | 127.40 | 2020-01-01 17:00:00 |\n| 2020-01-01 | 132.34 | 132.46 | 131.57 | 132.04 |  714182.7 | 132.34 | 130.44 | 129.42 | 133.79 | 124.81 | 127.27 | 147.20 | 172.52 | 179.78 | 0.6764460 | 127.49 | 2020-01-01 18:00:00 |\n| 2020-01-01 | 132.04 | 132.16 | 131.62 | 131.86 |  273651.8 | 132.04 | 130.24 | 128.49 | 134.85 | 125.43 | 128.74 | 147.52 | 172.26 | 180.34 | 0.4102720 | 127.62 | 2020-01-01 19:00:00 |\n| 2020-01-01 | 131.86 | 132.25 | 131.70 | 132.18 |  263829.9 | 131.86 | 130.36 | 128.39 | 135.14 | 125.66 | 129.65 | 148.06 | 172.74 | 180.87 | 0.4176158 | 127.16 | 2020-01-01 20:00:00 |\n| 2020-01-01 | 132.18 | 132.37 | 131.68 | 131.78 |  631701.2 | 132.18 | 130.17 | 128.91 | 134.87 | 125.37 | 130.34 | 148.46 | 173.94 | 180.32 | 0.5239976 | 127.72 | 2020-01-01 21:00:00 |\n| 2020-01-01 | 131.78 | 131.82 | 129.90 | 130.27 | 1849036.9 | 131.78 | 130.70 | 129.05 | 135.03 | 125.36 | 133.84 | 149.14 | 175.02 | 180.95 | 1.4780600 | 127.39 | 2020-01-01 22:00:00 |\n| 2020-01-01 | 130.27 | 130.87 | 129.74 | 130.77 |  493054.4 | 130.27 | 130.74 | 129.16 | 134.36 | 125.09 | 132.78 | 148.65 | 174.69 | 178.75 | 0.8709727 | 127.19 | 2020-01-01 23:00:00 |\n| 2020-01-01 | 130.74 | 131.61 | 130.70 | 131.61 |  536273.4 | 130.77 | 128.87 | 131.59 | 131.04 | 124.64 | 120.61 | 149.07 | 176.17 | 178.68 | 0.6962510 | 129.96 | 2020-01-02 00:00:00 |\n| 2020-01-02 | 130.67 | 130.67 | 130.12 | 130.15 |  473476.0 | 131.61 | 131.68 | 130.64 | 134.27 | 125.01 | 128.28 | 148.70 | 173.16 | 177.31 | 0.4226868 | 126.04 | 2020-01-02 01:00:00 |\n| 2020-01-02 | 130.15 | 130.16 | 128.89 | 129.72 | 2365918.3 | 130.15 | 131.96 | 130.85 | 134.37 | 125.30 | 128.48 | 149.24 | 172.45 | 177.83 | 0.9853363 | 126.92 | 2020-01-02 02:00:00 |\n| 2020-01-02 | 129.72 | 129.72 | 128.77 | 129.10 | 1505923.4 | 129.72 | 132.08 | 130.20 | 134.00 | 124.52 | 129.02 | 149.21 | 172.87 | 179.35 | 0.7377495 | 126.89 | 2020-01-02 03:00:00 |\n| 2020-01-02 | 129.10 | 129.87 | 128.69 | 129.55 | 1137482.8 | 129.10 | 132.85 | 130.20 | 135.11 | 124.41 | 128.28 | 148.47 | 171.51 | 178.59 | 0.9169322 | 129.30 | 2020-01-02 04:00:00 |\n| 2020-01-02 | 129.55 | 129.75 | 129.30 | 129.63 |  915493.3 | 129.55 | 132.34 | 130.30 | 134.99 | 124.61 | 128.23 | 148.30 | 172.96 | 178.70 | 0.3480278 | 129.21 | 2020-01-02 05:00:00 |\n| 2020-01-02 | 129.63 | 129.99 | 129.15 | 129.42 |  575876.8 | 129.63 | 132.04 | 130.44 | 135.17 | 124.98 | 127.60 | 148.68 | 173.38 | 178.55 | 0.6504065 | 129.17 | 2020-01-02 06:00:00 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| 2020-07-30 | 330.25 | 335.58 | 330.25 | 333.25 | 39030303 | 330.25 | 318.99 | 321.67 | 324.21 | 274.64 | 232.42 | 224.90 | 209.33 | 129.94 | 1.6139288 | 343.71 | 2020-07-30 19:00:00 |\n| 2020-07-30 | 333.25 | 342.00 | 333.08 | 338.22 | 41397107 | 333.25 | 319.55 | 322.25 | 323.85 | 273.06 | 232.96 | 225.59 | 209.80 | 131.74 | 2.6780353 | 344.94 | 2020-07-30 20:00:00 |\n| 2020-07-30 | 338.22 | 339.20 | 334.18 | 335.35 | 14531557 | 338.22 | 318.88 | 323.25 | 321.76 | 274.79 | 232.82 | 226.06 | 212.37 | 131.72 | 1.5021845 | 347.24 | 2020-07-30 21:00:00 |\n| 2020-07-30 | 335.35 | 337.77 | 333.48 | 334.16 |  8973827 | 335.35 | 317.44 | 321.34 | 327.31 | 274.51 | 233.50 | 225.22 | 212.09 | 133.30 | 1.2864340 | 343.71 | 2020-07-30 22:00:00 |\n| 2020-07-30 | 334.16 | 336.85 | 333.03 | 334.87 |  9926574 | 334.16 | 317.85 | 317.71 | 321.93 | 275.30 | 233.57 | 225.60 | 212.02 | 135.69 | 1.1470438 | 346.33 | 2020-07-30 23:00:00 |\n| 2020-07-30 | 317.85 | 319.39 | 317.26 | 317.26 |  7806602 | 334.87 | 319.25 | 321.13 | 325.15 | 263.96 | 232.08 | 224.85 | 212.82 | 131.39 | 0.6713736 | 345.29 | 2020-07-31 00:00:00 |\n| 2020-07-31 | 334.75 | 335.54 | 330.00 | 332.68 | 11343546 | 317.26 | 318.70 | 316.43 | 323.76 | 273.03 | 233.56 | 224.97 | 212.21 | 135.17 | 1.6787879 | 345.22 | 2020-07-31 01:00:00 |\n| 2020-07-31 | 332.68 | 333.26 | 330.50 | 330.67 |  6480437 | 332.68 | 317.56 | 315.77 | 318.29 | 274.02 | 233.54 | 225.44 | 212.14 | 135.98 | 0.8350983 | 346.65 | 2020-07-31 02:00:00 |\n| 2020-07-31 | 330.67 | 332.50 | 328.40 | 329.05 |  8481744 | 330.67 | 319.21 | 316.10 | 319.23 | 272.86 | 233.17 | 225.44 | 212.95 | 136.31 | 1.2484775 | 352.26 | 2020-07-31 03:00:00 |\n| 2020-07-31 | 329.05 | 333.25 | 328.67 | 332.63 |  9408989 | 329.05 | 322.30 | 317.29 | 321.35 | 271.01 | 232.22 | 225.62 | 212.82 | 135.90 | 1.3934950 | 353.82 | 2020-07-31 04:00:00 |\n| 2020-07-31 | 332.63 | 333.25 | 331.69 | 332.09 |  5881017 | 332.63 | 324.65 | 316.52 | 317.02 | 273.38 | 232.68 | 225.51 | 212.58 | 136.17 | 0.4703187 | 355.59 | 2020-07-31 05:00:00 |\n| 2020-07-31 | 332.09 | 338.38 | 331.96 | 337.93 | 14620870 | 332.09 | 330.25 | 319.20 | 317.58 | 268.84 | 233.03 | 225.14 | 212.51 | 137.20 | 1.9339679 | 356.02 | 2020-07-31 06:00:00 |\n| 2020-07-31 | 337.93 | 338.21 | 335.19 | 336.81 | 11799296 | 337.93 | 333.25 | 318.99 | 315.73 | 270.79 | 233.12 | 225.58 | 211.12 | 137.37 | 0.9009815 | 354.99 | 2020-07-31 07:00:00 |\n| 2020-07-31 | 336.81 | 340.50 | 335.78 | 338.19 | 17598398 | 336.81 | 338.22 | 319.55 | 313.15 | 270.46 | 233.00 | 227.87 | 210.70 | 137.30 | 1.4056823 | 356.71 | 2020-07-31 08:00:00 |\n| 2020-07-31 | 338.19 | 339.60 | 336.58 | 337.55 | 10020552 | 338.19 | 335.35 | 318.88 | 310.18 | 272.94 | 233.29 | 227.61 | 211.98 | 136.81 | 0.8972607 | 359.21 | 2020-07-31 09:00:00 |\n| 2020-07-31 | 337.55 | 344.10 | 337.00 | 342.99 | 25681937 | 337.55 | 334.16 | 317.44 | 313.16 | 275.28 | 232.98 | 227.45 | 212.25 | 137.12 | 2.1068249 | 354.92 | 2020-07-31 10:00:00 |\n| 2020-07-31 | 342.99 | 346.71 | 341.56 | 343.86 | 22152119 | 342.99 | 334.87 | 317.85 | 316.98 | 275.14 | 233.35 | 227.66 | 212.13 | 137.64 | 1.5077878 | 356.13 | 2020-07-31 11:00:00 |\n| 2020-07-31 | 334.87 | 336.58 | 333.26 | 334.75 |  7757608 | 343.86 | 317.26 | 319.25 | 324.77 | 273.92 | 232.90 | 225.04 | 212.83 | 136.00 | 0.9962192 | 344.01 | 2020-07-31 12:00:00 |\n| 2020-07-31 | 345.29 | 345.47 | 338.71 | 342.69 | 17942991 | 334.75 | 332.68 | 318.70 | 315.33 | 272.08 | 233.39 | 228.43 | 213.19 | 136.48 | 1.9958076 | 353.52 | 2020-07-31 13:00:00 |\n| 2020-07-31 | 342.69 | 347.20 | 341.94 | 347.18 | 16435736 | 342.69 | 330.67 | 317.56 | 319.70 | 274.89 | 233.33 | 228.59 | 213.20 | 138.94 | 1.5382816 | 356.15 | 2020-07-31 14:00:00 |\n| 2020-07-31 | 347.18 | 347.61 | 342.38 | 344.38 | 25799083 | 347.18 | 329.05 | 319.21 | 321.70 | 278.19 | 233.15 | 229.42 | 212.96 | 139.29 | 1.5275425 | 357.89 | 2020-07-31 15:00:00 |\n| 2020-07-31 | 344.38 | 345.91 | 340.32 | 345.35 | 24722561 | 344.38 | 332.63 | 322.30 | 315.85 | 278.39 | 233.23 | 231.50 | 214.18 | 143.48 | 1.6425717 | 362.09 | 2020-07-31 16:00:00 |\n| 2020-07-31 | 345.35 | 345.71 | 342.74 | 342.83 |  8677540 | 345.35 | 332.09 | 324.65 | 316.50 | 279.01 | 232.95 | 232.35 | 214.44 | 145.41 | 0.8665461 | 373.25 | 2020-07-31 17:00:00 |\n| 2020-07-31 | 342.83 | 344.03 | 341.36 | 342.46 |  7270773 | 342.83 | 337.93 | 330.25 | 316.24 | 281.90 | 233.20 | 231.69 | 212.66 | 140.45 | 0.7821655 | 371.20 | 2020-07-31 18:00:00 |\n| 2020-07-31 | 342.46 | 345.50 | 342.05 | 343.71 |  9065318 | 342.46 | 336.81 | 333.25 | 318.33 | 283.11 | 233.11 | 231.10 | 213.54 | 140.85 | 1.0086245 | 383.30 | 2020-07-31 19:00:00 |\n| 2020-07-31 | 343.71 | 345.55 | 343.58 | 344.94 |  9285584 | 343.71 | 338.19 | 338.22 | 319.58 | 285.73 | 232.50 | 231.32 | 214.00 | 140.50 | 0.5733745 | 386.00 | 2020-07-31 20:00:00 |\n| 2020-07-31 | 344.94 | 349.45 | 344.38 | 347.24 | 14932884 | 344.94 | 337.55 | 335.35 | 317.77 | 284.79 | 232.73 | 231.13 | 213.66 | 142.41 | 1.4722109 | 384.34 | 2020-07-31 21:00:00 |\n| 2020-07-31 | 347.24 | 347.94 | 343.47 | 343.71 | 11751536 | 347.24 | 342.99 | 334.16 | 317.51 | 280.51 | 233.02 | 230.91 | 213.97 | 142.33 | 1.3014237 | 387.33 | 2020-07-31 22:00:00 |\n| 2020-07-31 | 343.71 | 346.68 | 342.60 | 346.33 | 10317839 | 343.71 | 343.86 | 334.87 | 316.77 | 279.15 | 232.67 | 230.99 | 213.90 | 141.28 | 1.1908932 | 387.00 | 2020-07-31 23:00:00 |\n| 2020-07-31 | 343.86 | 345.38 | 341.37 | 345.29 | 15854624 | 346.33 | 334.75 | 317.26 | 315.75 | 274.48 | 233.64 | 227.70 | 212.41 | 137.28 | 1.1746785 | 356.97 | 2020-08-01 00:00:00 |\n\n","text/latex":"A tbl\\_ts: 5111 × 18\n\\begin{tabular}{llllllllllllllllll}\n Date & Open & High & Low & Close & VolumeUSDT & CloseLag1Hour & CloseLag12Hour & CloseLag24Hour & CloseLag3Day & CloseLag7Day & CloseLag14Day & CloseLag30Day & CloseLag90Day & CloseLag120Day & Volatility & Target24HourClose & DateTime\\\\\n <date> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dttm>\\\\\n\\hline\n\t 2020-01-01 & 128.87 & 130.65 & 128.78 & 130.64 & 1446167.8 & 131.59 & 131.53 & 131.89 & 127.60 & 126.21 & 124.46 & 151.03 & 179.04 & 177.06 & 1.4520888 & 130.15 & 2020-01-01 01:00:00\\\\\n\t 2020-01-01 & 130.64 & 130.98 & 130.35 & 130.85 &  980578.7 & 130.64 & 131.69 & 131.55 & 128.07 & 125.79 & 124.75 & 150.93 & 179.51 & 177.59 & 0.4833142 & 129.72 & 2020-01-01 02:00:00\\\\\n\t 2020-01-01 & 130.85 & 130.89 & 129.94 & 130.20 &  611279.5 & 130.85 & 129.73 & 131.26 & 127.94 & 125.74 & 123.90 & 150.04 & 179.05 & 178.50 & 0.7311067 & 129.10 & 2020-01-01 03:00:00\\\\\n\t 2020-01-01 & 130.20 & 130.74 & 130.15 & 130.20 &  436380.9 & 130.20 & 130.07 & 131.40 & 127.95 & 126.25 & 123.73 & 150.38 & 178.99 & 178.79 & 0.4533231 & 129.55 & 2020-01-01 04:00:00\\\\\n\t 2020-01-01 & 130.20 & 130.47 & 130.11 & 130.30 &  546887.9 & 130.20 & 129.32 & 132.70 & 128.14 & 125.85 & 123.23 & 148.03 & 177.79 & 178.28 & 0.2766890 & 129.63 & 2020-01-01 05:00:00\\\\\n\t 2020-01-01 & 130.30 & 130.75 & 130.26 & 130.44 &  474846.7 & 130.30 & 129.42 & 132.27 & 128.60 & 125.22 & 121.88 & 148.26 & 177.36 & 177.73 & 0.3761707 & 129.42 & 2020-01-01 06:00:00\\\\\n\t 2020-01-01 & 130.44 & 130.71 & 130.14 & 130.24 &  536082.7 & 130.44 & 128.49 & 132.20 & 128.43 & 125.66 & 121.69 & 148.37 & 177.23 & 177.63 & 0.4379899 & 129.26 & 2020-01-01 07:00:00\\\\\n\t 2020-01-01 & 130.24 & 130.41 & 129.87 & 130.36 &  955260.7 & 130.24 & 128.39 & 131.78 & 128.65 & 125.88 & 121.66 & 148.01 & 177.85 & 177.73 & 0.4158004 & 130.21 & 2020-01-01 08:00:00\\\\\n\t 2020-01-01 & 130.36 & 130.62 & 130.13 & 130.17 &  580140.8 & 130.36 & 128.91 & 131.70 & 128.08 & 125.44 & 122.06 & 149.27 & 177.68 & 175.66 & 0.3765465 & 129.98 & 2020-01-01 09:00:00\\\\\n\t 2020-01-01 & 130.17 & 130.82 & 130.07 & 130.70 &  577170.0 & 130.17 & 129.05 & 131.77 & 128.25 & 124.67 & 123.49 & 149.00 & 175.76 & 176.24 & 0.5766126 & 129.72 & 2020-01-01 10:00:00\\\\\n\t 2020-01-01 & 130.70 & 131.87 & 130.60 & 130.74 & 1353491.0 & 130.70 & 129.16 & 131.92 & 129.39 & 124.38 & 121.67 & 148.92 & 176.24 & 177.07 & 0.9724349 & 129.53 & 2020-01-01 11:00:00\\\\\n\t 2020-01-01 & 129.16 & 129.19 & 128.68 & 128.87 &  989909.2 & 130.74 & 131.59 & 131.52 & 127.93 & 126.91 & 124.41 & 150.38 & 179.25 & 178.20 & 0.3963320 & 130.67 & 2020-01-01 12:00:00\\\\\n\t 2020-01-01 & 131.61 & 131.90 & 131.28 & 131.68 &  910358.2 & 128.87 & 130.64 & 131.53 & 130.93 & 124.36 & 122.26 & 149.44 & 176.02 & 178.49 & 0.4722730 & 129.35 & 2020-01-01 13:00:00\\\\\n\t 2020-01-01 & 131.68 & 132.37 & 131.24 & 131.96 &  939658.9 & 131.68 & 130.85 & 131.69 & 130.95 & 124.29 & 123.34 & 147.99 & 172.20 & 180.96 & 0.8610180 & 129.37 & 2020-01-01 14:00:00\\\\\n\t 2020-01-01 & 131.96 & 132.40 & 131.60 & 132.08 &  694662.1 & 131.96 & 130.20 & 129.73 & 131.99 & 124.42 & 127.32 & 148.43 & 171.80 & 181.26 & 0.6079027 & 129.59 & 2020-01-01 15:00:00\\\\\n\t 2020-01-01 & 132.08 & 132.95 & 131.78 & 132.85 &  870249.5 & 132.08 & 130.20 & 130.07 & 132.90 & 124.15 & 128.47 & 147.75 & 173.66 & 180.50 & 0.8878434 & 127.60 & 2020-01-01 16:00:00\\\\\n\t 2020-01-01 & 132.85 & 133.05 & 132.27 & 132.34 &  650257.7 & 132.85 & 130.30 & 129.32 & 133.43 & 124.51 & 127.17 & 147.59 & 173.01 & 179.19 & 0.5897029 & 127.40 & 2020-01-01 17:00:00\\\\\n\t 2020-01-01 & 132.34 & 132.46 & 131.57 & 132.04 &  714182.7 & 132.34 & 130.44 & 129.42 & 133.79 & 124.81 & 127.27 & 147.20 & 172.52 & 179.78 & 0.6764460 & 127.49 & 2020-01-01 18:00:00\\\\\n\t 2020-01-01 & 132.04 & 132.16 & 131.62 & 131.86 &  273651.8 & 132.04 & 130.24 & 128.49 & 134.85 & 125.43 & 128.74 & 147.52 & 172.26 & 180.34 & 0.4102720 & 127.62 & 2020-01-01 19:00:00\\\\\n\t 2020-01-01 & 131.86 & 132.25 & 131.70 & 132.18 &  263829.9 & 131.86 & 130.36 & 128.39 & 135.14 & 125.66 & 129.65 & 148.06 & 172.74 & 180.87 & 0.4176158 & 127.16 & 2020-01-01 20:00:00\\\\\n\t 2020-01-01 & 132.18 & 132.37 & 131.68 & 131.78 &  631701.2 & 132.18 & 130.17 & 128.91 & 134.87 & 125.37 & 130.34 & 148.46 & 173.94 & 180.32 & 0.5239976 & 127.72 & 2020-01-01 21:00:00\\\\\n\t 2020-01-01 & 131.78 & 131.82 & 129.90 & 130.27 & 1849036.9 & 131.78 & 130.70 & 129.05 & 135.03 & 125.36 & 133.84 & 149.14 & 175.02 & 180.95 & 1.4780600 & 127.39 & 2020-01-01 22:00:00\\\\\n\t 2020-01-01 & 130.27 & 130.87 & 129.74 & 130.77 &  493054.4 & 130.27 & 130.74 & 129.16 & 134.36 & 125.09 & 132.78 & 148.65 & 174.69 & 178.75 & 0.8709727 & 127.19 & 2020-01-01 23:00:00\\\\\n\t 2020-01-01 & 130.74 & 131.61 & 130.70 & 131.61 &  536273.4 & 130.77 & 128.87 & 131.59 & 131.04 & 124.64 & 120.61 & 149.07 & 176.17 & 178.68 & 0.6962510 & 129.96 & 2020-01-02 00:00:00\\\\\n\t 2020-01-02 & 130.67 & 130.67 & 130.12 & 130.15 &  473476.0 & 131.61 & 131.68 & 130.64 & 134.27 & 125.01 & 128.28 & 148.70 & 173.16 & 177.31 & 0.4226868 & 126.04 & 2020-01-02 01:00:00\\\\\n\t 2020-01-02 & 130.15 & 130.16 & 128.89 & 129.72 & 2365918.3 & 130.15 & 131.96 & 130.85 & 134.37 & 125.30 & 128.48 & 149.24 & 172.45 & 177.83 & 0.9853363 & 126.92 & 2020-01-02 02:00:00\\\\\n\t 2020-01-02 & 129.72 & 129.72 & 128.77 & 129.10 & 1505923.4 & 129.72 & 132.08 & 130.20 & 134.00 & 124.52 & 129.02 & 149.21 & 172.87 & 179.35 & 0.7377495 & 126.89 & 2020-01-02 03:00:00\\\\\n\t 2020-01-02 & 129.10 & 129.87 & 128.69 & 129.55 & 1137482.8 & 129.10 & 132.85 & 130.20 & 135.11 & 124.41 & 128.28 & 148.47 & 171.51 & 178.59 & 0.9169322 & 129.30 & 2020-01-02 04:00:00\\\\\n\t 2020-01-02 & 129.55 & 129.75 & 129.30 & 129.63 &  915493.3 & 129.55 & 132.34 & 130.30 & 134.99 & 124.61 & 128.23 & 148.30 & 172.96 & 178.70 & 0.3480278 & 129.21 & 2020-01-02 05:00:00\\\\\n\t 2020-01-02 & 129.63 & 129.99 & 129.15 & 129.42 &  575876.8 & 129.63 & 132.04 & 130.44 & 135.17 & 124.98 & 127.60 & 148.68 & 173.38 & 178.55 & 0.6504065 & 129.17 & 2020-01-02 06:00:00\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t 2020-07-30 & 330.25 & 335.58 & 330.25 & 333.25 & 39030303 & 330.25 & 318.99 & 321.67 & 324.21 & 274.64 & 232.42 & 224.90 & 209.33 & 129.94 & 1.6139288 & 343.71 & 2020-07-30 19:00:00\\\\\n\t 2020-07-30 & 333.25 & 342.00 & 333.08 & 338.22 & 41397107 & 333.25 & 319.55 & 322.25 & 323.85 & 273.06 & 232.96 & 225.59 & 209.80 & 131.74 & 2.6780353 & 344.94 & 2020-07-30 20:00:00\\\\\n\t 2020-07-30 & 338.22 & 339.20 & 334.18 & 335.35 & 14531557 & 338.22 & 318.88 & 323.25 & 321.76 & 274.79 & 232.82 & 226.06 & 212.37 & 131.72 & 1.5021845 & 347.24 & 2020-07-30 21:00:00\\\\\n\t 2020-07-30 & 335.35 & 337.77 & 333.48 & 334.16 &  8973827 & 335.35 & 317.44 & 321.34 & 327.31 & 274.51 & 233.50 & 225.22 & 212.09 & 133.30 & 1.2864340 & 343.71 & 2020-07-30 22:00:00\\\\\n\t 2020-07-30 & 334.16 & 336.85 & 333.03 & 334.87 &  9926574 & 334.16 & 317.85 & 317.71 & 321.93 & 275.30 & 233.57 & 225.60 & 212.02 & 135.69 & 1.1470438 & 346.33 & 2020-07-30 23:00:00\\\\\n\t 2020-07-30 & 317.85 & 319.39 & 317.26 & 317.26 &  7806602 & 334.87 & 319.25 & 321.13 & 325.15 & 263.96 & 232.08 & 224.85 & 212.82 & 131.39 & 0.6713736 & 345.29 & 2020-07-31 00:00:00\\\\\n\t 2020-07-31 & 334.75 & 335.54 & 330.00 & 332.68 & 11343546 & 317.26 & 318.70 & 316.43 & 323.76 & 273.03 & 233.56 & 224.97 & 212.21 & 135.17 & 1.6787879 & 345.22 & 2020-07-31 01:00:00\\\\\n\t 2020-07-31 & 332.68 & 333.26 & 330.50 & 330.67 &  6480437 & 332.68 & 317.56 & 315.77 & 318.29 & 274.02 & 233.54 & 225.44 & 212.14 & 135.98 & 0.8350983 & 346.65 & 2020-07-31 02:00:00\\\\\n\t 2020-07-31 & 330.67 & 332.50 & 328.40 & 329.05 &  8481744 & 330.67 & 319.21 & 316.10 & 319.23 & 272.86 & 233.17 & 225.44 & 212.95 & 136.31 & 1.2484775 & 352.26 & 2020-07-31 03:00:00\\\\\n\t 2020-07-31 & 329.05 & 333.25 & 328.67 & 332.63 &  9408989 & 329.05 & 322.30 & 317.29 & 321.35 & 271.01 & 232.22 & 225.62 & 212.82 & 135.90 & 1.3934950 & 353.82 & 2020-07-31 04:00:00\\\\\n\t 2020-07-31 & 332.63 & 333.25 & 331.69 & 332.09 &  5881017 & 332.63 & 324.65 & 316.52 & 317.02 & 273.38 & 232.68 & 225.51 & 212.58 & 136.17 & 0.4703187 & 355.59 & 2020-07-31 05:00:00\\\\\n\t 2020-07-31 & 332.09 & 338.38 & 331.96 & 337.93 & 14620870 & 332.09 & 330.25 & 319.20 & 317.58 & 268.84 & 233.03 & 225.14 & 212.51 & 137.20 & 1.9339679 & 356.02 & 2020-07-31 06:00:00\\\\\n\t 2020-07-31 & 337.93 & 338.21 & 335.19 & 336.81 & 11799296 & 337.93 & 333.25 & 318.99 & 315.73 & 270.79 & 233.12 & 225.58 & 211.12 & 137.37 & 0.9009815 & 354.99 & 2020-07-31 07:00:00\\\\\n\t 2020-07-31 & 336.81 & 340.50 & 335.78 & 338.19 & 17598398 & 336.81 & 338.22 & 319.55 & 313.15 & 270.46 & 233.00 & 227.87 & 210.70 & 137.30 & 1.4056823 & 356.71 & 2020-07-31 08:00:00\\\\\n\t 2020-07-31 & 338.19 & 339.60 & 336.58 & 337.55 & 10020552 & 338.19 & 335.35 & 318.88 & 310.18 & 272.94 & 233.29 & 227.61 & 211.98 & 136.81 & 0.8972607 & 359.21 & 2020-07-31 09:00:00\\\\\n\t 2020-07-31 & 337.55 & 344.10 & 337.00 & 342.99 & 25681937 & 337.55 & 334.16 & 317.44 & 313.16 & 275.28 & 232.98 & 227.45 & 212.25 & 137.12 & 2.1068249 & 354.92 & 2020-07-31 10:00:00\\\\\n\t 2020-07-31 & 342.99 & 346.71 & 341.56 & 343.86 & 22152119 & 342.99 & 334.87 & 317.85 & 316.98 & 275.14 & 233.35 & 227.66 & 212.13 & 137.64 & 1.5077878 & 356.13 & 2020-07-31 11:00:00\\\\\n\t 2020-07-31 & 334.87 & 336.58 & 333.26 & 334.75 &  7757608 & 343.86 & 317.26 & 319.25 & 324.77 & 273.92 & 232.90 & 225.04 & 212.83 & 136.00 & 0.9962192 & 344.01 & 2020-07-31 12:00:00\\\\\n\t 2020-07-31 & 345.29 & 345.47 & 338.71 & 342.69 & 17942991 & 334.75 & 332.68 & 318.70 & 315.33 & 272.08 & 233.39 & 228.43 & 213.19 & 136.48 & 1.9958076 & 353.52 & 2020-07-31 13:00:00\\\\\n\t 2020-07-31 & 342.69 & 347.20 & 341.94 & 347.18 & 16435736 & 342.69 & 330.67 & 317.56 & 319.70 & 274.89 & 233.33 & 228.59 & 213.20 & 138.94 & 1.5382816 & 356.15 & 2020-07-31 14:00:00\\\\\n\t 2020-07-31 & 347.18 & 347.61 & 342.38 & 344.38 & 25799083 & 347.18 & 329.05 & 319.21 & 321.70 & 278.19 & 233.15 & 229.42 & 212.96 & 139.29 & 1.5275425 & 357.89 & 2020-07-31 15:00:00\\\\\n\t 2020-07-31 & 344.38 & 345.91 & 340.32 & 345.35 & 24722561 & 344.38 & 332.63 & 322.30 & 315.85 & 278.39 & 233.23 & 231.50 & 214.18 & 143.48 & 1.6425717 & 362.09 & 2020-07-31 16:00:00\\\\\n\t 2020-07-31 & 345.35 & 345.71 & 342.74 & 342.83 &  8677540 & 345.35 & 332.09 & 324.65 & 316.50 & 279.01 & 232.95 & 232.35 & 214.44 & 145.41 & 0.8665461 & 373.25 & 2020-07-31 17:00:00\\\\\n\t 2020-07-31 & 342.83 & 344.03 & 341.36 & 342.46 &  7270773 & 342.83 & 337.93 & 330.25 & 316.24 & 281.90 & 233.20 & 231.69 & 212.66 & 140.45 & 0.7821655 & 371.20 & 2020-07-31 18:00:00\\\\\n\t 2020-07-31 & 342.46 & 345.50 & 342.05 & 343.71 &  9065318 & 342.46 & 336.81 & 333.25 & 318.33 & 283.11 & 233.11 & 231.10 & 213.54 & 140.85 & 1.0086245 & 383.30 & 2020-07-31 19:00:00\\\\\n\t 2020-07-31 & 343.71 & 345.55 & 343.58 & 344.94 &  9285584 & 343.71 & 338.19 & 338.22 & 319.58 & 285.73 & 232.50 & 231.32 & 214.00 & 140.50 & 0.5733745 & 386.00 & 2020-07-31 20:00:00\\\\\n\t 2020-07-31 & 344.94 & 349.45 & 344.38 & 347.24 & 14932884 & 344.94 & 337.55 & 335.35 & 317.77 & 284.79 & 232.73 & 231.13 & 213.66 & 142.41 & 1.4722109 & 384.34 & 2020-07-31 21:00:00\\\\\n\t 2020-07-31 & 347.24 & 347.94 & 343.47 & 343.71 & 11751536 & 347.24 & 342.99 & 334.16 & 317.51 & 280.51 & 233.02 & 230.91 & 213.97 & 142.33 & 1.3014237 & 387.33 & 2020-07-31 22:00:00\\\\\n\t 2020-07-31 & 343.71 & 346.68 & 342.60 & 346.33 & 10317839 & 343.71 & 343.86 & 334.87 & 316.77 & 279.15 & 232.67 & 230.99 & 213.90 & 141.28 & 1.1908932 & 387.00 & 2020-07-31 23:00:00\\\\\n\t 2020-07-31 & 343.86 & 345.38 & 341.37 & 345.29 & 15854624 & 346.33 & 334.75 & 317.26 & 315.75 & 274.48 & 233.64 & 227.70 & 212.41 & 137.28 & 1.1746785 & 356.97 & 2020-08-01 00:00:00\\\\\n\\end{tabular}\n","text/plain":"     Date       Open   High   Low    Close  VolumeUSDT CloseLag1Hour\n1    2020-01-01 128.87 130.65 128.78 130.64 1446167.8  131.59       \n2    2020-01-01 130.64 130.98 130.35 130.85  980578.7  130.64       \n3    2020-01-01 130.85 130.89 129.94 130.20  611279.5  130.85       \n4    2020-01-01 130.20 130.74 130.15 130.20  436380.9  130.20       \n5    2020-01-01 130.20 130.47 130.11 130.30  546887.9  130.20       \n6    2020-01-01 130.30 130.75 130.26 130.44  474846.7  130.30       \n7    2020-01-01 130.44 130.71 130.14 130.24  536082.7  130.44       \n8    2020-01-01 130.24 130.41 129.87 130.36  955260.7  130.24       \n9    2020-01-01 130.36 130.62 130.13 130.17  580140.8  130.36       \n10   2020-01-01 130.17 130.82 130.07 130.70  577170.0  130.17       \n11   2020-01-01 130.70 131.87 130.60 130.74 1353491.0  130.70       \n12   2020-01-01 129.16 129.19 128.68 128.87  989909.2  130.74       \n13   2020-01-01 131.61 131.90 131.28 131.68  910358.2  128.87       \n14   2020-01-01 131.68 132.37 131.24 131.96  939658.9  131.68       \n15   2020-01-01 131.96 132.40 131.60 132.08  694662.1  131.96       \n16   2020-01-01 132.08 132.95 131.78 132.85  870249.5  132.08       \n17   2020-01-01 132.85 133.05 132.27 132.34  650257.7  132.85       \n18   2020-01-01 132.34 132.46 131.57 132.04  714182.7  132.34       \n19   2020-01-01 132.04 132.16 131.62 131.86  273651.8  132.04       \n20   2020-01-01 131.86 132.25 131.70 132.18  263829.9  131.86       \n21   2020-01-01 132.18 132.37 131.68 131.78  631701.2  132.18       \n22   2020-01-01 131.78 131.82 129.90 130.27 1849036.9  131.78       \n23   2020-01-01 130.27 130.87 129.74 130.77  493054.4  130.27       \n24   2020-01-01 130.74 131.61 130.70 131.61  536273.4  130.77       \n25   2020-01-02 130.67 130.67 130.12 130.15  473476.0  131.61       \n26   2020-01-02 130.15 130.16 128.89 129.72 2365918.3  130.15       \n27   2020-01-02 129.72 129.72 128.77 129.10 1505923.4  129.72       \n28   2020-01-02 129.10 129.87 128.69 129.55 1137482.8  129.10       \n29   2020-01-02 129.55 129.75 129.30 129.63  915493.3  129.55       \n30   2020-01-02 129.63 129.99 129.15 129.42  575876.8  129.63       \n⋮    ⋮          ⋮      ⋮      ⋮      ⋮      ⋮          ⋮            \n5082 2020-07-30 330.25 335.58 330.25 333.25 39030303   330.25       \n5083 2020-07-30 333.25 342.00 333.08 338.22 41397107   333.25       \n5084 2020-07-30 338.22 339.20 334.18 335.35 14531557   338.22       \n5085 2020-07-30 335.35 337.77 333.48 334.16  8973827   335.35       \n5086 2020-07-30 334.16 336.85 333.03 334.87  9926574   334.16       \n5087 2020-07-30 317.85 319.39 317.26 317.26  7806602   334.87       \n5088 2020-07-31 334.75 335.54 330.00 332.68 11343546   317.26       \n5089 2020-07-31 332.68 333.26 330.50 330.67  6480437   332.68       \n5090 2020-07-31 330.67 332.50 328.40 329.05  8481744   330.67       \n5091 2020-07-31 329.05 333.25 328.67 332.63  9408989   329.05       \n5092 2020-07-31 332.63 333.25 331.69 332.09  5881017   332.63       \n5093 2020-07-31 332.09 338.38 331.96 337.93 14620870   332.09       \n5094 2020-07-31 337.93 338.21 335.19 336.81 11799296   337.93       \n5095 2020-07-31 336.81 340.50 335.78 338.19 17598398   336.81       \n5096 2020-07-31 338.19 339.60 336.58 337.55 10020552   338.19       \n5097 2020-07-31 337.55 344.10 337.00 342.99 25681937   337.55       \n5098 2020-07-31 342.99 346.71 341.56 343.86 22152119   342.99       \n5099 2020-07-31 334.87 336.58 333.26 334.75  7757608   343.86       \n5100 2020-07-31 345.29 345.47 338.71 342.69 17942991   334.75       \n5101 2020-07-31 342.69 347.20 341.94 347.18 16435736   342.69       \n5102 2020-07-31 347.18 347.61 342.38 344.38 25799083   347.18       \n5103 2020-07-31 344.38 345.91 340.32 345.35 24722561   344.38       \n5104 2020-07-31 345.35 345.71 342.74 342.83  8677540   345.35       \n5105 2020-07-31 342.83 344.03 341.36 342.46  7270773   342.83       \n5106 2020-07-31 342.46 345.50 342.05 343.71  9065318   342.46       \n5107 2020-07-31 343.71 345.55 343.58 344.94  9285584   343.71       \n5108 2020-07-31 344.94 349.45 344.38 347.24 14932884   344.94       \n5109 2020-07-31 347.24 347.94 343.47 343.71 11751536   347.24       \n5110 2020-07-31 343.71 346.68 342.60 346.33 10317839   343.71       \n5111 2020-07-31 343.86 345.38 341.37 345.29 15854624   346.33       \n     CloseLag12Hour CloseLag24Hour CloseLag3Day CloseLag7Day CloseLag14Day\n1    131.53         131.89         127.60       126.21       124.46       \n2    131.69         131.55         128.07       125.79       124.75       \n3    129.73         131.26         127.94       125.74       123.90       \n4    130.07         131.40         127.95       126.25       123.73       \n5    129.32         132.70         128.14       125.85       123.23       \n6    129.42         132.27         128.60       125.22       121.88       \n7    128.49         132.20         128.43       125.66       121.69       \n8    128.39         131.78         128.65       125.88       121.66       \n9    128.91         131.70         128.08       125.44       122.06       \n10   129.05         131.77         128.25       124.67       123.49       \n11   129.16         131.92         129.39       124.38       121.67       \n12   131.59         131.52         127.93       126.91       124.41       \n13   130.64         131.53         130.93       124.36       122.26       \n14   130.85         131.69         130.95       124.29       123.34       \n15   130.20         129.73         131.99       124.42       127.32       \n16   130.20         130.07         132.90       124.15       128.47       \n17   130.30         129.32         133.43       124.51       127.17       \n18   130.44         129.42         133.79       124.81       127.27       \n19   130.24         128.49         134.85       125.43       128.74       \n20   130.36         128.39         135.14       125.66       129.65       \n21   130.17         128.91         134.87       125.37       130.34       \n22   130.70         129.05         135.03       125.36       133.84       \n23   130.74         129.16         134.36       125.09       132.78       \n24   128.87         131.59         131.04       124.64       120.61       \n25   131.68         130.64         134.27       125.01       128.28       \n26   131.96         130.85         134.37       125.30       128.48       \n27   132.08         130.20         134.00       124.52       129.02       \n28   132.85         130.20         135.11       124.41       128.28       \n29   132.34         130.30         134.99       124.61       128.23       \n30   132.04         130.44         135.17       124.98       127.60       \n⋮    ⋮              ⋮              ⋮            ⋮            ⋮            \n5082 318.99         321.67         324.21       274.64       232.42       \n5083 319.55         322.25         323.85       273.06       232.96       \n5084 318.88         323.25         321.76       274.79       232.82       \n5085 317.44         321.34         327.31       274.51       233.50       \n5086 317.85         317.71         321.93       275.30       233.57       \n5087 319.25         321.13         325.15       263.96       232.08       \n5088 318.70         316.43         323.76       273.03       233.56       \n5089 317.56         315.77         318.29       274.02       233.54       \n5090 319.21         316.10         319.23       272.86       233.17       \n5091 322.30         317.29         321.35       271.01       232.22       \n5092 324.65         316.52         317.02       273.38       232.68       \n5093 330.25         319.20         317.58       268.84       233.03       \n5094 333.25         318.99         315.73       270.79       233.12       \n5095 338.22         319.55         313.15       270.46       233.00       \n5096 335.35         318.88         310.18       272.94       233.29       \n5097 334.16         317.44         313.16       275.28       232.98       \n5098 334.87         317.85         316.98       275.14       233.35       \n5099 317.26         319.25         324.77       273.92       232.90       \n5100 332.68         318.70         315.33       272.08       233.39       \n5101 330.67         317.56         319.70       274.89       233.33       \n5102 329.05         319.21         321.70       278.19       233.15       \n5103 332.63         322.30         315.85       278.39       233.23       \n5104 332.09         324.65         316.50       279.01       232.95       \n5105 337.93         330.25         316.24       281.90       233.20       \n5106 336.81         333.25         318.33       283.11       233.11       \n5107 338.19         338.22         319.58       285.73       232.50       \n5108 337.55         335.35         317.77       284.79       232.73       \n5109 342.99         334.16         317.51       280.51       233.02       \n5110 343.86         334.87         316.77       279.15       232.67       \n5111 334.75         317.26         315.75       274.48       233.64       \n     CloseLag30Day CloseLag90Day CloseLag120Day Volatility Target24HourClose\n1    151.03        179.04        177.06         1.4520888  130.15           \n2    150.93        179.51        177.59         0.4833142  129.72           \n3    150.04        179.05        178.50         0.7311067  129.10           \n4    150.38        178.99        178.79         0.4533231  129.55           \n5    148.03        177.79        178.28         0.2766890  129.63           \n6    148.26        177.36        177.73         0.3761707  129.42           \n7    148.37        177.23        177.63         0.4379899  129.26           \n8    148.01        177.85        177.73         0.4158004  130.21           \n9    149.27        177.68        175.66         0.3765465  129.98           \n10   149.00        175.76        176.24         0.5766126  129.72           \n11   148.92        176.24        177.07         0.9724349  129.53           \n12   150.38        179.25        178.20         0.3963320  130.67           \n13   149.44        176.02        178.49         0.4722730  129.35           \n14   147.99        172.20        180.96         0.8610180  129.37           \n15   148.43        171.80        181.26         0.6079027  129.59           \n16   147.75        173.66        180.50         0.8878434  127.60           \n17   147.59        173.01        179.19         0.5897029  127.40           \n18   147.20        172.52        179.78         0.6764460  127.49           \n19   147.52        172.26        180.34         0.4102720  127.62           \n20   148.06        172.74        180.87         0.4176158  127.16           \n21   148.46        173.94        180.32         0.5239976  127.72           \n22   149.14        175.02        180.95         1.4780600  127.39           \n23   148.65        174.69        178.75         0.8709727  127.19           \n24   149.07        176.17        178.68         0.6962510  129.96           \n25   148.70        173.16        177.31         0.4226868  126.04           \n26   149.24        172.45        177.83         0.9853363  126.92           \n27   149.21        172.87        179.35         0.7377495  126.89           \n28   148.47        171.51        178.59         0.9169322  129.30           \n29   148.30        172.96        178.70         0.3480278  129.21           \n30   148.68        173.38        178.55         0.6504065  129.17           \n⋮    ⋮             ⋮             ⋮              ⋮          ⋮                \n5082 224.90        209.33        129.94         1.6139288  343.71           \n5083 225.59        209.80        131.74         2.6780353  344.94           \n5084 226.06        212.37        131.72         1.5021845  347.24           \n5085 225.22        212.09        133.30         1.2864340  343.71           \n5086 225.60        212.02        135.69         1.1470438  346.33           \n5087 224.85        212.82        131.39         0.6713736  345.29           \n5088 224.97        212.21        135.17         1.6787879  345.22           \n5089 225.44        212.14        135.98         0.8350983  346.65           \n5090 225.44        212.95        136.31         1.2484775  352.26           \n5091 225.62        212.82        135.90         1.3934950  353.82           \n5092 225.51        212.58        136.17         0.4703187  355.59           \n5093 225.14        212.51        137.20         1.9339679  356.02           \n5094 225.58        211.12        137.37         0.9009815  354.99           \n5095 227.87        210.70        137.30         1.4056823  356.71           \n5096 227.61        211.98        136.81         0.8972607  359.21           \n5097 227.45        212.25        137.12         2.1068249  354.92           \n5098 227.66        212.13        137.64         1.5077878  356.13           \n5099 225.04        212.83        136.00         0.9962192  344.01           \n5100 228.43        213.19        136.48         1.9958076  353.52           \n5101 228.59        213.20        138.94         1.5382816  356.15           \n5102 229.42        212.96        139.29         1.5275425  357.89           \n5103 231.50        214.18        143.48         1.6425717  362.09           \n5104 232.35        214.44        145.41         0.8665461  373.25           \n5105 231.69        212.66        140.45         0.7821655  371.20           \n5106 231.10        213.54        140.85         1.0086245  383.30           \n5107 231.32        214.00        140.50         0.5733745  386.00           \n5108 231.13        213.66        142.41         1.4722109  384.34           \n5109 230.91        213.97        142.33         1.3014237  387.33           \n5110 230.99        213.90        141.28         1.1908932  387.00           \n5111 227.70        212.41        137.28         1.1746785  356.97           \n     DateTime           \n1    2020-01-01 01:00:00\n2    2020-01-01 02:00:00\n3    2020-01-01 03:00:00\n4    2020-01-01 04:00:00\n5    2020-01-01 05:00:00\n6    2020-01-01 06:00:00\n7    2020-01-01 07:00:00\n8    2020-01-01 08:00:00\n9    2020-01-01 09:00:00\n10   2020-01-01 10:00:00\n11   2020-01-01 11:00:00\n12   2020-01-01 12:00:00\n13   2020-01-01 13:00:00\n14   2020-01-01 14:00:00\n15   2020-01-01 15:00:00\n16   2020-01-01 16:00:00\n17   2020-01-01 17:00:00\n18   2020-01-01 18:00:00\n19   2020-01-01 19:00:00\n20   2020-01-01 20:00:00\n21   2020-01-01 21:00:00\n22   2020-01-01 22:00:00\n23   2020-01-01 23:00:00\n24   2020-01-02 00:00:00\n25   2020-01-02 01:00:00\n26   2020-01-02 02:00:00\n27   2020-01-02 03:00:00\n28   2020-01-02 04:00:00\n29   2020-01-02 05:00:00\n30   2020-01-02 06:00:00\n⋮    ⋮                  \n5082 2020-07-30 19:00:00\n5083 2020-07-30 20:00:00\n5084 2020-07-30 21:00:00\n5085 2020-07-30 22:00:00\n5086 2020-07-30 23:00:00\n5087 2020-07-31 00:00:00\n5088 2020-07-31 01:00:00\n5089 2020-07-31 02:00:00\n5090 2020-07-31 03:00:00\n5091 2020-07-31 04:00:00\n5092 2020-07-31 05:00:00\n5093 2020-07-31 06:00:00\n5094 2020-07-31 07:00:00\n5095 2020-07-31 08:00:00\n5096 2020-07-31 09:00:00\n5097 2020-07-31 10:00:00\n5098 2020-07-31 11:00:00\n5099 2020-07-31 12:00:00\n5100 2020-07-31 13:00:00\n5101 2020-07-31 14:00:00\n5102 2020-07-31 15:00:00\n5103 2020-07-31 16:00:00\n5104 2020-07-31 17:00:00\n5105 2020-07-31 18:00:00\n5106 2020-07-31 19:00:00\n5107 2020-07-31 20:00:00\n5108 2020-07-31 21:00:00\n5109 2020-07-31 22:00:00\n5110 2020-07-31 23:00:00\n5111 2020-08-01 00:00:00"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"##### Are there any gaps?"},{"metadata":{"trusted":false},"cell_type":"code","source":"has_gaps(cryptodata_ts)","execution_count":30,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tibble: 1 × 1</caption>\n<thead>\n\t<tr><th scope=col>.gaps</th></tr>\n\t<tr><th scope=col>&lt;lgl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>TRUE</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 1 × 1\n\n| .gaps &lt;lgl&gt; |\n|---|\n| TRUE |\n\n","text/latex":"A tibble: 1 × 1\n\\begin{tabular}{l}\n .gaps\\\\\n <lgl>\\\\\n\\hline\n\t TRUE\\\\\n\\end{tabular}\n","text/plain":"  .gaps\n1 TRUE "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"##### Find gaps"},{"metadata":{"trusted":false},"cell_type":"code","source":"scan_gaps(cryptodata_ts)","execution_count":31,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tbl_ts: 1 × 1</caption>\n<thead>\n\t<tr><th scope=col>DateTime</th></tr>\n\t<tr><th scope=col>&lt;dttm&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>2020-04-19 10:00:00</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tbl_ts: 1 × 1\n\n| DateTime &lt;dttm&gt; |\n|---|\n| 2020-04-19 10:00:00 |\n\n","text/latex":"A tbl\\_ts: 1 × 1\n\\begin{tabular}{l}\n DateTime\\\\\n <dttm>\\\\\n\\hline\n\t 2020-04-19 10:00:00\\\\\n\\end{tabular}\n","text/plain":"  DateTime           \n1 2020-04-19 10:00:00"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"#### Fill data gaps"},{"metadata":{"trusted":false},"cell_type":"code","source":"cryptodata_ts <- fill_gaps(cryptodata_ts)","execution_count":32,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Train/Test Split"},{"metadata":{"trusted":false},"cell_type":"code","source":"ts_train <- head(cryptodata_ts, as.integer(nrow(cryptodata)*.8))","execution_count":33,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"ts_test <- tail(cryptodata_ts, as.integer(nrow(cryptodata)*.2))","execution_count":34,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"## Timeseries Predictive Modeling"},{"metadata":{},"cell_type":"markdown","source":"#### Simple naive model"},{"metadata":{"trusted":false},"cell_type":"code","source":"naive_model <- model(ts_train, naive = NAIVE(Close))","execution_count":35,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"#### Compare predictions to what actually happens with this approach:"},{"metadata":{"scrolled":true,"trusted":false},"cell_type":"code","source":"augment(naive_model)","execution_count":37,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tbl_ts: 4088 × 5</caption>\n<thead>\n\t<tr><th scope=col>.model</th><th scope=col>DateTime</th><th scope=col>Close</th><th scope=col>.fitted</th><th scope=col>.resid</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>naive</td><td>2020-01-01 01:00:00</td><td>130.64</td><td>    NA</td><td>   NA</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 02:00:00</td><td>130.85</td><td>130.64</td><td> 0.21</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 03:00:00</td><td>130.20</td><td>130.85</td><td>-0.65</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 04:00:00</td><td>130.20</td><td>130.20</td><td> 0.00</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 05:00:00</td><td>130.30</td><td>130.20</td><td> 0.10</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 06:00:00</td><td>130.44</td><td>130.30</td><td> 0.14</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 07:00:00</td><td>130.24</td><td>130.44</td><td>-0.20</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 08:00:00</td><td>130.36</td><td>130.24</td><td> 0.12</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 09:00:00</td><td>130.17</td><td>130.36</td><td>-0.19</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 10:00:00</td><td>130.70</td><td>130.17</td><td> 0.53</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 11:00:00</td><td>130.74</td><td>130.70</td><td> 0.04</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 12:00:00</td><td>128.87</td><td>130.74</td><td>-1.87</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 13:00:00</td><td>131.68</td><td>128.87</td><td> 2.81</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 14:00:00</td><td>131.96</td><td>131.68</td><td> 0.28</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 15:00:00</td><td>132.08</td><td>131.96</td><td> 0.12</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 16:00:00</td><td>132.85</td><td>132.08</td><td> 0.77</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 17:00:00</td><td>132.34</td><td>132.85</td><td>-0.51</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 18:00:00</td><td>132.04</td><td>132.34</td><td>-0.30</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 19:00:00</td><td>131.86</td><td>132.04</td><td>-0.18</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 20:00:00</td><td>132.18</td><td>131.86</td><td> 0.32</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 21:00:00</td><td>131.78</td><td>132.18</td><td>-0.40</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 22:00:00</td><td>130.27</td><td>131.78</td><td>-1.51</td></tr>\n\t<tr><td>naive</td><td>2020-01-01 23:00:00</td><td>130.77</td><td>130.27</td><td> 0.50</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 00:00:00</td><td>131.61</td><td>130.77</td><td> 0.84</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 01:00:00</td><td>130.15</td><td>131.61</td><td>-1.46</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 02:00:00</td><td>129.72</td><td>130.15</td><td>-0.43</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 03:00:00</td><td>129.10</td><td>129.72</td><td>-0.62</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 04:00:00</td><td>129.55</td><td>129.10</td><td> 0.45</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 05:00:00</td><td>129.63</td><td>129.55</td><td> 0.08</td></tr>\n\t<tr><td>naive</td><td>2020-01-02 06:00:00</td><td>129.42</td><td>129.63</td><td>-0.21</td></tr>\n\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 03:00:00</td><td>233.51</td><td>233.27</td><td> 0.24</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 04:00:00</td><td>232.84</td><td>233.51</td><td>-0.67</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 05:00:00</td><td>233.01</td><td>232.84</td><td> 0.17</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 06:00:00</td><td>233.14</td><td>233.01</td><td> 0.13</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 07:00:00</td><td>233.46</td><td>233.14</td><td> 0.32</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 08:00:00</td><td>233.25</td><td>233.46</td><td>-0.21</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 09:00:00</td><td>232.72</td><td>233.25</td><td>-0.53</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 10:00:00</td><td>233.47</td><td>232.72</td><td> 0.75</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 11:00:00</td><td>233.08</td><td>233.47</td><td>-0.39</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 12:00:00</td><td>233.51</td><td>233.08</td><td> 0.43</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 13:00:00</td><td>231.74</td><td>233.51</td><td>-1.77</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 14:00:00</td><td>232.58</td><td>231.74</td><td> 0.84</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 15:00:00</td><td>231.23</td><td>232.58</td><td>-1.35</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 16:00:00</td><td>231.62</td><td>231.23</td><td> 0.39</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 17:00:00</td><td>231.93</td><td>231.62</td><td> 0.31</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 18:00:00</td><td>231.33</td><td>231.93</td><td>-0.60</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 19:00:00</td><td>231.27</td><td>231.33</td><td>-0.06</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 20:00:00</td><td>228.97</td><td>231.27</td><td>-2.30</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 21:00:00</td><td>230.05</td><td>228.97</td><td> 1.08</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 22:00:00</td><td>230.71</td><td>230.05</td><td> 0.66</td></tr>\n\t<tr><td>naive</td><td>2020-06-18 23:00:00</td><td>231.27</td><td>230.71</td><td> 0.56</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 00:00:00</td><td>232.96</td><td>231.27</td><td> 1.69</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 01:00:00</td><td>228.43</td><td>232.96</td><td>-4.53</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 02:00:00</td><td>227.12</td><td>228.43</td><td>-1.31</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 03:00:00</td><td>227.58</td><td>227.12</td><td> 0.46</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 04:00:00</td><td>228.40</td><td>227.58</td><td> 0.82</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 05:00:00</td><td>229.05</td><td>228.40</td><td> 0.65</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 06:00:00</td><td>228.67</td><td>229.05</td><td>-0.38</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 07:00:00</td><td>228.37</td><td>228.67</td><td>-0.30</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 08:00:00</td><td>228.81</td><td>228.37</td><td> 0.44</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tbl_ts: 4088 × 5\n\n| .model &lt;chr&gt; | DateTime &lt;dttm&gt; | Close &lt;dbl&gt; | .fitted &lt;dbl&gt; | .resid &lt;dbl&gt; |\n|---|---|---|---|---|\n| naive | 2020-01-01 01:00:00 | 130.64 |     NA |    NA |\n| naive | 2020-01-01 02:00:00 | 130.85 | 130.64 |  0.21 |\n| naive | 2020-01-01 03:00:00 | 130.20 | 130.85 | -0.65 |\n| naive | 2020-01-01 04:00:00 | 130.20 | 130.20 |  0.00 |\n| naive | 2020-01-01 05:00:00 | 130.30 | 130.20 |  0.10 |\n| naive | 2020-01-01 06:00:00 | 130.44 | 130.30 |  0.14 |\n| naive | 2020-01-01 07:00:00 | 130.24 | 130.44 | -0.20 |\n| naive | 2020-01-01 08:00:00 | 130.36 | 130.24 |  0.12 |\n| naive | 2020-01-01 09:00:00 | 130.17 | 130.36 | -0.19 |\n| naive | 2020-01-01 10:00:00 | 130.70 | 130.17 |  0.53 |\n| naive | 2020-01-01 11:00:00 | 130.74 | 130.70 |  0.04 |\n| naive | 2020-01-01 12:00:00 | 128.87 | 130.74 | -1.87 |\n| naive | 2020-01-01 13:00:00 | 131.68 | 128.87 |  2.81 |\n| naive | 2020-01-01 14:00:00 | 131.96 | 131.68 |  0.28 |\n| naive | 2020-01-01 15:00:00 | 132.08 | 131.96 |  0.12 |\n| naive | 2020-01-01 16:00:00 | 132.85 | 132.08 |  0.77 |\n| naive | 2020-01-01 17:00:00 | 132.34 | 132.85 | -0.51 |\n| naive | 2020-01-01 18:00:00 | 132.04 | 132.34 | -0.30 |\n| naive | 2020-01-01 19:00:00 | 131.86 | 132.04 | -0.18 |\n| naive | 2020-01-01 20:00:00 | 132.18 | 131.86 |  0.32 |\n| naive | 2020-01-01 21:00:00 | 131.78 | 132.18 | -0.40 |\n| naive | 2020-01-01 22:00:00 | 130.27 | 131.78 | -1.51 |\n| naive | 2020-01-01 23:00:00 | 130.77 | 130.27 |  0.50 |\n| naive | 2020-01-02 00:00:00 | 131.61 | 130.77 |  0.84 |\n| naive | 2020-01-02 01:00:00 | 130.15 | 131.61 | -1.46 |\n| naive | 2020-01-02 02:00:00 | 129.72 | 130.15 | -0.43 |\n| naive | 2020-01-02 03:00:00 | 129.10 | 129.72 | -0.62 |\n| naive | 2020-01-02 04:00:00 | 129.55 | 129.10 |  0.45 |\n| naive | 2020-01-02 05:00:00 | 129.63 | 129.55 |  0.08 |\n| naive | 2020-01-02 06:00:00 | 129.42 | 129.63 | -0.21 |\n| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n| naive | 2020-06-18 03:00:00 | 233.51 | 233.27 |  0.24 |\n| naive | 2020-06-18 04:00:00 | 232.84 | 233.51 | -0.67 |\n| naive | 2020-06-18 05:00:00 | 233.01 | 232.84 |  0.17 |\n| naive | 2020-06-18 06:00:00 | 233.14 | 233.01 |  0.13 |\n| naive | 2020-06-18 07:00:00 | 233.46 | 233.14 |  0.32 |\n| naive | 2020-06-18 08:00:00 | 233.25 | 233.46 | -0.21 |\n| naive | 2020-06-18 09:00:00 | 232.72 | 233.25 | -0.53 |\n| naive | 2020-06-18 10:00:00 | 233.47 | 232.72 |  0.75 |\n| naive | 2020-06-18 11:00:00 | 233.08 | 233.47 | -0.39 |\n| naive | 2020-06-18 12:00:00 | 233.51 | 233.08 |  0.43 |\n| naive | 2020-06-18 13:00:00 | 231.74 | 233.51 | -1.77 |\n| naive | 2020-06-18 14:00:00 | 232.58 | 231.74 |  0.84 |\n| naive | 2020-06-18 15:00:00 | 231.23 | 232.58 | -1.35 |\n| naive | 2020-06-18 16:00:00 | 231.62 | 231.23 |  0.39 |\n| naive | 2020-06-18 17:00:00 | 231.93 | 231.62 |  0.31 |\n| naive | 2020-06-18 18:00:00 | 231.33 | 231.93 | -0.60 |\n| naive | 2020-06-18 19:00:00 | 231.27 | 231.33 | -0.06 |\n| naive | 2020-06-18 20:00:00 | 228.97 | 231.27 | -2.30 |\n| naive | 2020-06-18 21:00:00 | 230.05 | 228.97 |  1.08 |\n| naive | 2020-06-18 22:00:00 | 230.71 | 230.05 |  0.66 |\n| naive | 2020-06-18 23:00:00 | 231.27 | 230.71 |  0.56 |\n| naive | 2020-06-19 00:00:00 | 232.96 | 231.27 |  1.69 |\n| naive | 2020-06-19 01:00:00 | 228.43 | 232.96 | -4.53 |\n| naive | 2020-06-19 02:00:00 | 227.12 | 228.43 | -1.31 |\n| naive | 2020-06-19 03:00:00 | 227.58 | 227.12 |  0.46 |\n| naive | 2020-06-19 04:00:00 | 228.40 | 227.58 |  0.82 |\n| naive | 2020-06-19 05:00:00 | 229.05 | 228.40 |  0.65 |\n| naive | 2020-06-19 06:00:00 | 228.67 | 229.05 | -0.38 |\n| naive | 2020-06-19 07:00:00 | 228.37 | 228.67 | -0.30 |\n| naive | 2020-06-19 08:00:00 | 228.81 | 228.37 |  0.44 |\n\n","text/latex":"A tbl\\_ts: 4088 × 5\n\\begin{tabular}{lllll}\n .model & DateTime & Close & .fitted & .resid\\\\\n <chr> & <dttm> & <dbl> & <dbl> & <dbl>\\\\\n\\hline\n\t naive & 2020-01-01 01:00:00 & 130.64 &     NA &    NA\\\\\n\t naive & 2020-01-01 02:00:00 & 130.85 & 130.64 &  0.21\\\\\n\t naive & 2020-01-01 03:00:00 & 130.20 & 130.85 & -0.65\\\\\n\t naive & 2020-01-01 04:00:00 & 130.20 & 130.20 &  0.00\\\\\n\t naive & 2020-01-01 05:00:00 & 130.30 & 130.20 &  0.10\\\\\n\t naive & 2020-01-01 06:00:00 & 130.44 & 130.30 &  0.14\\\\\n\t naive & 2020-01-01 07:00:00 & 130.24 & 130.44 & -0.20\\\\\n\t naive & 2020-01-01 08:00:00 & 130.36 & 130.24 &  0.12\\\\\n\t naive & 2020-01-01 09:00:00 & 130.17 & 130.36 & -0.19\\\\\n\t naive & 2020-01-01 10:00:00 & 130.70 & 130.17 &  0.53\\\\\n\t naive & 2020-01-01 11:00:00 & 130.74 & 130.70 &  0.04\\\\\n\t naive & 2020-01-01 12:00:00 & 128.87 & 130.74 & -1.87\\\\\n\t naive & 2020-01-01 13:00:00 & 131.68 & 128.87 &  2.81\\\\\n\t naive & 2020-01-01 14:00:00 & 131.96 & 131.68 &  0.28\\\\\n\t naive & 2020-01-01 15:00:00 & 132.08 & 131.96 &  0.12\\\\\n\t naive & 2020-01-01 16:00:00 & 132.85 & 132.08 &  0.77\\\\\n\t naive & 2020-01-01 17:00:00 & 132.34 & 132.85 & -0.51\\\\\n\t naive & 2020-01-01 18:00:00 & 132.04 & 132.34 & -0.30\\\\\n\t naive & 2020-01-01 19:00:00 & 131.86 & 132.04 & -0.18\\\\\n\t naive & 2020-01-01 20:00:00 & 132.18 & 131.86 &  0.32\\\\\n\t naive & 2020-01-01 21:00:00 & 131.78 & 132.18 & -0.40\\\\\n\t naive & 2020-01-01 22:00:00 & 130.27 & 131.78 & -1.51\\\\\n\t naive & 2020-01-01 23:00:00 & 130.77 & 130.27 &  0.50\\\\\n\t naive & 2020-01-02 00:00:00 & 131.61 & 130.77 &  0.84\\\\\n\t naive & 2020-01-02 01:00:00 & 130.15 & 131.61 & -1.46\\\\\n\t naive & 2020-01-02 02:00:00 & 129.72 & 130.15 & -0.43\\\\\n\t naive & 2020-01-02 03:00:00 & 129.10 & 129.72 & -0.62\\\\\n\t naive & 2020-01-02 04:00:00 & 129.55 & 129.10 &  0.45\\\\\n\t naive & 2020-01-02 05:00:00 & 129.63 & 129.55 &  0.08\\\\\n\t naive & 2020-01-02 06:00:00 & 129.42 & 129.63 & -0.21\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t naive & 2020-06-18 03:00:00 & 233.51 & 233.27 &  0.24\\\\\n\t naive & 2020-06-18 04:00:00 & 232.84 & 233.51 & -0.67\\\\\n\t naive & 2020-06-18 05:00:00 & 233.01 & 232.84 &  0.17\\\\\n\t naive & 2020-06-18 06:00:00 & 233.14 & 233.01 &  0.13\\\\\n\t naive & 2020-06-18 07:00:00 & 233.46 & 233.14 &  0.32\\\\\n\t naive & 2020-06-18 08:00:00 & 233.25 & 233.46 & -0.21\\\\\n\t naive & 2020-06-18 09:00:00 & 232.72 & 233.25 & -0.53\\\\\n\t naive & 2020-06-18 10:00:00 & 233.47 & 232.72 &  0.75\\\\\n\t naive & 2020-06-18 11:00:00 & 233.08 & 233.47 & -0.39\\\\\n\t naive & 2020-06-18 12:00:00 & 233.51 & 233.08 &  0.43\\\\\n\t naive & 2020-06-18 13:00:00 & 231.74 & 233.51 & -1.77\\\\\n\t naive & 2020-06-18 14:00:00 & 232.58 & 231.74 &  0.84\\\\\n\t naive & 2020-06-18 15:00:00 & 231.23 & 232.58 & -1.35\\\\\n\t naive & 2020-06-18 16:00:00 & 231.62 & 231.23 &  0.39\\\\\n\t naive & 2020-06-18 17:00:00 & 231.93 & 231.62 &  0.31\\\\\n\t naive & 2020-06-18 18:00:00 & 231.33 & 231.93 & -0.60\\\\\n\t naive & 2020-06-18 19:00:00 & 231.27 & 231.33 & -0.06\\\\\n\t naive & 2020-06-18 20:00:00 & 228.97 & 231.27 & -2.30\\\\\n\t naive & 2020-06-18 21:00:00 & 230.05 & 228.97 &  1.08\\\\\n\t naive & 2020-06-18 22:00:00 & 230.71 & 230.05 &  0.66\\\\\n\t naive & 2020-06-18 23:00:00 & 231.27 & 230.71 &  0.56\\\\\n\t naive & 2020-06-19 00:00:00 & 232.96 & 231.27 &  1.69\\\\\n\t naive & 2020-06-19 01:00:00 & 228.43 & 232.96 & -4.53\\\\\n\t naive & 2020-06-19 02:00:00 & 227.12 & 228.43 & -1.31\\\\\n\t naive & 2020-06-19 03:00:00 & 227.58 & 227.12 &  0.46\\\\\n\t naive & 2020-06-19 04:00:00 & 228.40 & 227.58 &  0.82\\\\\n\t naive & 2020-06-19 05:00:00 & 229.05 & 228.40 &  0.65\\\\\n\t naive & 2020-06-19 06:00:00 & 228.67 & 229.05 & -0.38\\\\\n\t naive & 2020-06-19 07:00:00 & 228.37 & 228.67 & -0.30\\\\\n\t naive & 2020-06-19 08:00:00 & 228.81 & 228.37 &  0.44\\\\\n\\end{tabular}\n","text/plain":"     .model DateTime            Close  .fitted .resid\n1    naive  2020-01-01 01:00:00 130.64     NA     NA \n2    naive  2020-01-01 02:00:00 130.85 130.64   0.21 \n3    naive  2020-01-01 03:00:00 130.20 130.85  -0.65 \n4    naive  2020-01-01 04:00:00 130.20 130.20   0.00 \n5    naive  2020-01-01 05:00:00 130.30 130.20   0.10 \n6    naive  2020-01-01 06:00:00 130.44 130.30   0.14 \n7    naive  2020-01-01 07:00:00 130.24 130.44  -0.20 \n8    naive  2020-01-01 08:00:00 130.36 130.24   0.12 \n9    naive  2020-01-01 09:00:00 130.17 130.36  -0.19 \n10   naive  2020-01-01 10:00:00 130.70 130.17   0.53 \n11   naive  2020-01-01 11:00:00 130.74 130.70   0.04 \n12   naive  2020-01-01 12:00:00 128.87 130.74  -1.87 \n13   naive  2020-01-01 13:00:00 131.68 128.87   2.81 \n14   naive  2020-01-01 14:00:00 131.96 131.68   0.28 \n15   naive  2020-01-01 15:00:00 132.08 131.96   0.12 \n16   naive  2020-01-01 16:00:00 132.85 132.08   0.77 \n17   naive  2020-01-01 17:00:00 132.34 132.85  -0.51 \n18   naive  2020-01-01 18:00:00 132.04 132.34  -0.30 \n19   naive  2020-01-01 19:00:00 131.86 132.04  -0.18 \n20   naive  2020-01-01 20:00:00 132.18 131.86   0.32 \n21   naive  2020-01-01 21:00:00 131.78 132.18  -0.40 \n22   naive  2020-01-01 22:00:00 130.27 131.78  -1.51 \n23   naive  2020-01-01 23:00:00 130.77 130.27   0.50 \n24   naive  2020-01-02 00:00:00 131.61 130.77   0.84 \n25   naive  2020-01-02 01:00:00 130.15 131.61  -1.46 \n26   naive  2020-01-02 02:00:00 129.72 130.15  -0.43 \n27   naive  2020-01-02 03:00:00 129.10 129.72  -0.62 \n28   naive  2020-01-02 04:00:00 129.55 129.10   0.45 \n29   naive  2020-01-02 05:00:00 129.63 129.55   0.08 \n30   naive  2020-01-02 06:00:00 129.42 129.63  -0.21 \n⋮    ⋮      ⋮                   ⋮      ⋮       ⋮     \n4059 naive  2020-06-18 03:00:00 233.51 233.27   0.24 \n4060 naive  2020-06-18 04:00:00 232.84 233.51  -0.67 \n4061 naive  2020-06-18 05:00:00 233.01 232.84   0.17 \n4062 naive  2020-06-18 06:00:00 233.14 233.01   0.13 \n4063 naive  2020-06-18 07:00:00 233.46 233.14   0.32 \n4064 naive  2020-06-18 08:00:00 233.25 233.46  -0.21 \n4065 naive  2020-06-18 09:00:00 232.72 233.25  -0.53 \n4066 naive  2020-06-18 10:00:00 233.47 232.72   0.75 \n4067 naive  2020-06-18 11:00:00 233.08 233.47  -0.39 \n4068 naive  2020-06-18 12:00:00 233.51 233.08   0.43 \n4069 naive  2020-06-18 13:00:00 231.74 233.51  -1.77 \n4070 naive  2020-06-18 14:00:00 232.58 231.74   0.84 \n4071 naive  2020-06-18 15:00:00 231.23 232.58  -1.35 \n4072 naive  2020-06-18 16:00:00 231.62 231.23   0.39 \n4073 naive  2020-06-18 17:00:00 231.93 231.62   0.31 \n4074 naive  2020-06-18 18:00:00 231.33 231.93  -0.60 \n4075 naive  2020-06-18 19:00:00 231.27 231.33  -0.06 \n4076 naive  2020-06-18 20:00:00 228.97 231.27  -2.30 \n4077 naive  2020-06-18 21:00:00 230.05 228.97   1.08 \n4078 naive  2020-06-18 22:00:00 230.71 230.05   0.66 \n4079 naive  2020-06-18 23:00:00 231.27 230.71   0.56 \n4080 naive  2020-06-19 00:00:00 232.96 231.27   1.69 \n4081 naive  2020-06-19 01:00:00 228.43 232.96  -4.53 \n4082 naive  2020-06-19 02:00:00 227.12 228.43  -1.31 \n4083 naive  2020-06-19 03:00:00 227.58 227.12   0.46 \n4084 naive  2020-06-19 04:00:00 228.40 227.58   0.82 \n4085 naive  2020-06-19 05:00:00 229.05 228.40   0.65 \n4086 naive  2020-06-19 06:00:00 228.67 229.05  -0.38 \n4087 naive  2020-06-19 07:00:00 228.37 228.67  -0.30 \n4088 naive  2020-06-19 08:00:00 228.81 228.37   0.44 "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Make multiple models at the same time"},{"metadata":{"trusted":false},"cell_type":"code","source":"ts_models <- model(ts_train, naive = NAIVE(Close),\n                             snaive = SNAIVE(Close),\n                             arima = ARIMA(Close))","execution_count":38,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"##### We can look at the terms chosen for the ARIMA model:"},{"metadata":{"trusted":false},"cell_type":"code","source":"tidy(ts_models)","execution_count":40,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tibble: 2 × 6</caption>\n<thead>\n\t<tr><th scope=col>.model</th><th scope=col>term</th><th scope=col>estimate</th><th scope=col>std.error</th><th scope=col>statistic</th><th scope=col>p.value</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>arima</td><td>ar1</td><td>-0.4822475</td><td>0.01531407</td><td>-31.49050</td><td>4.713431e-195</td></tr>\n\t<tr><td>arima</td><td>ar2</td><td>-0.2049408</td><td>0.01531548</td><td>-13.38129</td><td> 5.351044e-40</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 2 × 6\n\n| .model &lt;chr&gt; | term &lt;chr&gt; | estimate &lt;dbl&gt; | std.error &lt;dbl&gt; | statistic &lt;dbl&gt; | p.value &lt;dbl&gt; |\n|---|---|---|---|---|---|\n| arima | ar1 | -0.4822475 | 0.01531407 | -31.49050 | 4.713431e-195 |\n| arima | ar2 | -0.2049408 | 0.01531548 | -13.38129 |  5.351044e-40 |\n\n","text/latex":"A tibble: 2 × 6\n\\begin{tabular}{llllll}\n .model & term & estimate & std.error & statistic & p.value\\\\\n <chr> & <chr> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n\\hline\n\t arima & ar1 & -0.4822475 & 0.01531407 & -31.49050 & 4.713431e-195\\\\\n\t arima & ar2 & -0.2049408 & 0.01531548 & -13.38129 &  5.351044e-40\\\\\n\\end{tabular}\n","text/plain":"  .model term estimate   std.error  statistic p.value      \n1 arima  ar1  -0.4822475 0.01531407 -31.49050 4.713431e-195\n2 arima  ar2  -0.2049408 0.01531548 -13.38129  5.351044e-40"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Forecast"},{"metadata":{"trusted":false},"cell_type":"code","source":"ts_forecasts <- forecast(ts_models, h = '3 day')","execution_count":41,"outputs":[]},{"metadata":{"scrolled":true,"trusted":false},"cell_type":"code","source":"ts_forecasts","execution_count":42,"outputs":[{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A fbl_ts: 216 × 4</caption>\n<thead>\n\t<tr><th scope=col>.model</th><th scope=col>DateTime</th><th scope=col>Close</th><th scope=col>.distribution</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dttm&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dist&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>naive</td><td>2020-06-19 09:00:00</td><td>228.81</td><td>N(229,  11)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 10:00:00</td><td>228.81</td><td>N(229,  23)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 11:00:00</td><td>228.81</td><td>N(229,  34)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 12:00:00</td><td>228.81</td><td>N(229,  45)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 13:00:00</td><td>228.81</td><td>N(229,  57)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 14:00:00</td><td>228.81</td><td>N(229,  68)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 15:00:00</td><td>228.81</td><td>N(229,  80)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 16:00:00</td><td>228.81</td><td>N(229,  91)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 17:00:00</td><td>228.81</td><td>N(229, 102)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 18:00:00</td><td>228.81</td><td>N(229, 114)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 19:00:00</td><td>228.81</td><td>N(229, 125)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 20:00:00</td><td>228.81</td><td>N(229, 136)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 21:00:00</td><td>228.81</td><td>N(229, 148)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 22:00:00</td><td>228.81</td><td>N(229, 159)</td></tr>\n\t<tr><td>naive</td><td>2020-06-19 23:00:00</td><td>228.81</td><td>N(229, 170)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 00:00:00</td><td>228.81</td><td>N(229, 182)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 01:00:00</td><td>228.81</td><td>N(229, 193)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 02:00:00</td><td>228.81</td><td>N(229, 205)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 03:00:00</td><td>228.81</td><td>N(229, 216)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 04:00:00</td><td>228.81</td><td>N(229, 227)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 05:00:00</td><td>228.81</td><td>N(229, 239)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 06:00:00</td><td>228.81</td><td>N(229, 250)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 07:00:00</td><td>228.81</td><td>N(229, 261)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 08:00:00</td><td>228.81</td><td>N(229, 273)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 09:00:00</td><td>228.81</td><td>N(229, 284)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 10:00:00</td><td>228.81</td><td>N(229, 295)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 11:00:00</td><td>228.81</td><td>N(229, 307)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 12:00:00</td><td>228.81</td><td>N(229, 318)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 13:00:00</td><td>228.81</td><td>N(229, 330)</td></tr>\n\t<tr><td>naive</td><td>2020-06-20 14:00:00</td><td>228.81</td><td>N(229, 341)</td></tr>\n\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 03:00:00</td><td>228.6672</td><td>N(229, 143)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 04:00:00</td><td>228.6672</td><td>N(229, 146)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 05:00:00</td><td>228.6672</td><td>N(229, 150)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 06:00:00</td><td>228.6672</td><td>N(229, 153)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 07:00:00</td><td>228.6672</td><td>N(229, 156)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 08:00:00</td><td>228.6672</td><td>N(229, 159)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 09:00:00</td><td>228.6672</td><td>N(229, 162)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 10:00:00</td><td>228.6672</td><td>N(229, 166)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 11:00:00</td><td>228.6672</td><td>N(229, 169)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 12:00:00</td><td>228.6672</td><td>N(229, 172)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 13:00:00</td><td>228.6672</td><td>N(229, 175)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 14:00:00</td><td>228.6672</td><td>N(229, 178)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 15:00:00</td><td>228.6672</td><td>N(229, 182)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 16:00:00</td><td>228.6672</td><td>N(229, 185)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 17:00:00</td><td>228.6672</td><td>N(229, 188)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 18:00:00</td><td>228.6672</td><td>N(229, 191)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 19:00:00</td><td>228.6672</td><td>N(229, 195)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 20:00:00</td><td>228.6672</td><td>N(229, 198)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 21:00:00</td><td>228.6672</td><td>N(229, 201)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 22:00:00</td><td>228.6672</td><td>N(229, 204)</td></tr>\n\t<tr><td>arima</td><td>2020-06-21 23:00:00</td><td>228.6672</td><td>N(229, 207)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 00:00:00</td><td>228.6672</td><td>N(229, 211)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 01:00:00</td><td>228.6672</td><td>N(229, 214)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 02:00:00</td><td>228.6672</td><td>N(229, 217)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 03:00:00</td><td>228.6672</td><td>N(229, 220)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 04:00:00</td><td>228.6672</td><td>N(229, 223)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 05:00:00</td><td>228.6672</td><td>N(229, 227)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 06:00:00</td><td>228.6672</td><td>N(229, 230)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 07:00:00</td><td>228.6672</td><td>N(229, 233)</td></tr>\n\t<tr><td>arima</td><td>2020-06-22 08:00:00</td><td>228.6672</td><td>N(229, 236)</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA fbl_ts: 216 × 4\n\n| .model &lt;chr&gt; | DateTime &lt;dttm&gt; | Close &lt;dbl&gt; | .distribution &lt;dist&gt; |\n|---|---|---|---|\n| naive | 2020-06-19 09:00:00 | 228.81 | N(229,  11) |\n| naive | 2020-06-19 10:00:00 | 228.81 | N(229,  23) |\n| naive | 2020-06-19 11:00:00 | 228.81 | N(229,  34) |\n| naive | 2020-06-19 12:00:00 | 228.81 | N(229,  45) |\n| naive | 2020-06-19 13:00:00 | 228.81 | N(229,  57) |\n| naive | 2020-06-19 14:00:00 | 228.81 | N(229,  68) |\n| naive | 2020-06-19 15:00:00 | 228.81 | N(229,  80) |\n| naive | 2020-06-19 16:00:00 | 228.81 | N(229,  91) |\n| naive | 2020-06-19 17:00:00 | 228.81 | N(229, 102) |\n| naive | 2020-06-19 18:00:00 | 228.81 | N(229, 114) |\n| naive | 2020-06-19 19:00:00 | 228.81 | N(229, 125) |\n| naive | 2020-06-19 20:00:00 | 228.81 | N(229, 136) |\n| naive | 2020-06-19 21:00:00 | 228.81 | N(229, 148) |\n| naive | 2020-06-19 22:00:00 | 228.81 | N(229, 159) |\n| naive | 2020-06-19 23:00:00 | 228.81 | N(229, 170) |\n| naive | 2020-06-20 00:00:00 | 228.81 | N(229, 182) |\n| naive | 2020-06-20 01:00:00 | 228.81 | N(229, 193) |\n| naive | 2020-06-20 02:00:00 | 228.81 | N(229, 205) |\n| naive | 2020-06-20 03:00:00 | 228.81 | N(229, 216) |\n| naive | 2020-06-20 04:00:00 | 228.81 | N(229, 227) |\n| naive | 2020-06-20 05:00:00 | 228.81 | N(229, 239) |\n| naive | 2020-06-20 06:00:00 | 228.81 | N(229, 250) |\n| naive | 2020-06-20 07:00:00 | 228.81 | N(229, 261) |\n| naive | 2020-06-20 08:00:00 | 228.81 | N(229, 273) |\n| naive | 2020-06-20 09:00:00 | 228.81 | N(229, 284) |\n| naive | 2020-06-20 10:00:00 | 228.81 | N(229, 295) |\n| naive | 2020-06-20 11:00:00 | 228.81 | N(229, 307) |\n| naive | 2020-06-20 12:00:00 | 228.81 | N(229, 318) |\n| naive | 2020-06-20 13:00:00 | 228.81 | N(229, 330) |\n| naive | 2020-06-20 14:00:00 | 228.81 | N(229, 341) |\n| ⋮ | ⋮ | ⋮ | ⋮ |\n| arima | 2020-06-21 03:00:00 | 228.6672 | N(229, 143) |\n| arima | 2020-06-21 04:00:00 | 228.6672 | N(229, 146) |\n| arima | 2020-06-21 05:00:00 | 228.6672 | N(229, 150) |\n| arima | 2020-06-21 06:00:00 | 228.6672 | N(229, 153) |\n| arima | 2020-06-21 07:00:00 | 228.6672 | N(229, 156) |\n| arima | 2020-06-21 08:00:00 | 228.6672 | N(229, 159) |\n| arima | 2020-06-21 09:00:00 | 228.6672 | N(229, 162) |\n| arima | 2020-06-21 10:00:00 | 228.6672 | N(229, 166) |\n| arima | 2020-06-21 11:00:00 | 228.6672 | N(229, 169) |\n| arima | 2020-06-21 12:00:00 | 228.6672 | N(229, 172) |\n| arima | 2020-06-21 13:00:00 | 228.6672 | N(229, 175) |\n| arima | 2020-06-21 14:00:00 | 228.6672 | N(229, 178) |\n| arima | 2020-06-21 15:00:00 | 228.6672 | N(229, 182) |\n| arima | 2020-06-21 16:00:00 | 228.6672 | N(229, 185) |\n| arima | 2020-06-21 17:00:00 | 228.6672 | N(229, 188) |\n| arima | 2020-06-21 18:00:00 | 228.6672 | N(229, 191) |\n| arima | 2020-06-21 19:00:00 | 228.6672 | N(229, 195) |\n| arima | 2020-06-21 20:00:00 | 228.6672 | N(229, 198) |\n| arima | 2020-06-21 21:00:00 | 228.6672 | N(229, 201) |\n| arima | 2020-06-21 22:00:00 | 228.6672 | N(229, 204) |\n| arima | 2020-06-21 23:00:00 | 228.6672 | N(229, 207) |\n| arima | 2020-06-22 00:00:00 | 228.6672 | N(229, 211) |\n| arima | 2020-06-22 01:00:00 | 228.6672 | N(229, 214) |\n| arima | 2020-06-22 02:00:00 | 228.6672 | N(229, 217) |\n| arima | 2020-06-22 03:00:00 | 228.6672 | N(229, 220) |\n| arima | 2020-06-22 04:00:00 | 228.6672 | N(229, 223) |\n| arima | 2020-06-22 05:00:00 | 228.6672 | N(229, 227) |\n| arima | 2020-06-22 06:00:00 | 228.6672 | N(229, 230) |\n| arima | 2020-06-22 07:00:00 | 228.6672 | N(229, 233) |\n| arima | 2020-06-22 08:00:00 | 228.6672 | N(229, 236) |\n\n","text/latex":"A fbl\\_ts: 216 × 4\n\\begin{tabular}{llll}\n .model & DateTime & Close & .distribution\\\\\n <chr> & <dttm> & <dbl> & <dist>\\\\\n\\hline\n\t naive & 2020-06-19 09:00:00 & 228.81 & N(229,  11)\\\\\n\t naive & 2020-06-19 10:00:00 & 228.81 & N(229,  23)\\\\\n\t naive & 2020-06-19 11:00:00 & 228.81 & N(229,  34)\\\\\n\t naive & 2020-06-19 12:00:00 & 228.81 & N(229,  45)\\\\\n\t naive & 2020-06-19 13:00:00 & 228.81 & N(229,  57)\\\\\n\t naive & 2020-06-19 14:00:00 & 228.81 & N(229,  68)\\\\\n\t naive & 2020-06-19 15:00:00 & 228.81 & N(229,  80)\\\\\n\t naive & 2020-06-19 16:00:00 & 228.81 & N(229,  91)\\\\\n\t naive & 2020-06-19 17:00:00 & 228.81 & N(229, 102)\\\\\n\t naive & 2020-06-19 18:00:00 & 228.81 & N(229, 114)\\\\\n\t naive & 2020-06-19 19:00:00 & 228.81 & N(229, 125)\\\\\n\t naive & 2020-06-19 20:00:00 & 228.81 & N(229, 136)\\\\\n\t naive & 2020-06-19 21:00:00 & 228.81 & N(229, 148)\\\\\n\t naive & 2020-06-19 22:00:00 & 228.81 & N(229, 159)\\\\\n\t naive & 2020-06-19 23:00:00 & 228.81 & N(229, 170)\\\\\n\t naive & 2020-06-20 00:00:00 & 228.81 & N(229, 182)\\\\\n\t naive & 2020-06-20 01:00:00 & 228.81 & N(229, 193)\\\\\n\t naive & 2020-06-20 02:00:00 & 228.81 & N(229, 205)\\\\\n\t naive & 2020-06-20 03:00:00 & 228.81 & N(229, 216)\\\\\n\t naive & 2020-06-20 04:00:00 & 228.81 & N(229, 227)\\\\\n\t naive & 2020-06-20 05:00:00 & 228.81 & N(229, 239)\\\\\n\t naive & 2020-06-20 06:00:00 & 228.81 & N(229, 250)\\\\\n\t naive & 2020-06-20 07:00:00 & 228.81 & N(229, 261)\\\\\n\t naive & 2020-06-20 08:00:00 & 228.81 & N(229, 273)\\\\\n\t naive & 2020-06-20 09:00:00 & 228.81 & N(229, 284)\\\\\n\t naive & 2020-06-20 10:00:00 & 228.81 & N(229, 295)\\\\\n\t naive & 2020-06-20 11:00:00 & 228.81 & N(229, 307)\\\\\n\t naive & 2020-06-20 12:00:00 & 228.81 & N(229, 318)\\\\\n\t naive & 2020-06-20 13:00:00 & 228.81 & N(229, 330)\\\\\n\t naive & 2020-06-20 14:00:00 & 228.81 & N(229, 341)\\\\\n\t ⋮ & ⋮ & ⋮ & ⋮\\\\\n\t arima & 2020-06-21 03:00:00 & 228.6672 & N(229, 143)\\\\\n\t arima & 2020-06-21 04:00:00 & 228.6672 & N(229, 146)\\\\\n\t arima & 2020-06-21 05:00:00 & 228.6672 & N(229, 150)\\\\\n\t arima & 2020-06-21 06:00:00 & 228.6672 & N(229, 153)\\\\\n\t arima & 2020-06-21 07:00:00 & 228.6672 & N(229, 156)\\\\\n\t arima & 2020-06-21 08:00:00 & 228.6672 & N(229, 159)\\\\\n\t arima & 2020-06-21 09:00:00 & 228.6672 & N(229, 162)\\\\\n\t arima & 2020-06-21 10:00:00 & 228.6672 & N(229, 166)\\\\\n\t arima & 2020-06-21 11:00:00 & 228.6672 & N(229, 169)\\\\\n\t arima & 2020-06-21 12:00:00 & 228.6672 & N(229, 172)\\\\\n\t arima & 2020-06-21 13:00:00 & 228.6672 & N(229, 175)\\\\\n\t arima & 2020-06-21 14:00:00 & 228.6672 & N(229, 178)\\\\\n\t arima & 2020-06-21 15:00:00 & 228.6672 & N(229, 182)\\\\\n\t arima & 2020-06-21 16:00:00 & 228.6672 & N(229, 185)\\\\\n\t arima & 2020-06-21 17:00:00 & 228.6672 & N(229, 188)\\\\\n\t arima & 2020-06-21 18:00:00 & 228.6672 & N(229, 191)\\\\\n\t arima & 2020-06-21 19:00:00 & 228.6672 & N(229, 195)\\\\\n\t arima & 2020-06-21 20:00:00 & 228.6672 & N(229, 198)\\\\\n\t arima & 2020-06-21 21:00:00 & 228.6672 & N(229, 201)\\\\\n\t arima & 2020-06-21 22:00:00 & 228.6672 & N(229, 204)\\\\\n\t arima & 2020-06-21 23:00:00 & 228.6672 & N(229, 207)\\\\\n\t arima & 2020-06-22 00:00:00 & 228.6672 & N(229, 211)\\\\\n\t arima & 2020-06-22 01:00:00 & 228.6672 & N(229, 214)\\\\\n\t arima & 2020-06-22 02:00:00 & 228.6672 & N(229, 217)\\\\\n\t arima & 2020-06-22 03:00:00 & 228.6672 & N(229, 220)\\\\\n\t arima & 2020-06-22 04:00:00 & 228.6672 & N(229, 223)\\\\\n\t arima & 2020-06-22 05:00:00 & 228.6672 & N(229, 227)\\\\\n\t arima & 2020-06-22 06:00:00 & 228.6672 & N(229, 230)\\\\\n\t arima & 2020-06-22 07:00:00 & 228.6672 & N(229, 233)\\\\\n\t arima & 2020-06-22 08:00:00 & 228.6672 & N(229, 236)\\\\\n\\end{tabular}\n","text/plain":"    .model DateTime            Close    .distribution\n1   naive  2020-06-19 09:00:00 228.81   N(229,  11)  \n2   naive  2020-06-19 10:00:00 228.81   N(229,  23)  \n3   naive  2020-06-19 11:00:00 228.81   N(229,  34)  \n4   naive  2020-06-19 12:00:00 228.81   N(229,  45)  \n5   naive  2020-06-19 13:00:00 228.81   N(229,  57)  \n6   naive  2020-06-19 14:00:00 228.81   N(229,  68)  \n7   naive  2020-06-19 15:00:00 228.81   N(229,  80)  \n8   naive  2020-06-19 16:00:00 228.81   N(229,  91)  \n9   naive  2020-06-19 17:00:00 228.81   N(229, 102)  \n10  naive  2020-06-19 18:00:00 228.81   N(229, 114)  \n11  naive  2020-06-19 19:00:00 228.81   N(229, 125)  \n12  naive  2020-06-19 20:00:00 228.81   N(229, 136)  \n13  naive  2020-06-19 21:00:00 228.81   N(229, 148)  \n14  naive  2020-06-19 22:00:00 228.81   N(229, 159)  \n15  naive  2020-06-19 23:00:00 228.81   N(229, 170)  \n16  naive  2020-06-20 00:00:00 228.81   N(229, 182)  \n17  naive  2020-06-20 01:00:00 228.81   N(229, 193)  \n18  naive  2020-06-20 02:00:00 228.81   N(229, 205)  \n19  naive  2020-06-20 03:00:00 228.81   N(229, 216)  \n20  naive  2020-06-20 04:00:00 228.81   N(229, 227)  \n21  naive  2020-06-20 05:00:00 228.81   N(229, 239)  \n22  naive  2020-06-20 06:00:00 228.81   N(229, 250)  \n23  naive  2020-06-20 07:00:00 228.81   N(229, 261)  \n24  naive  2020-06-20 08:00:00 228.81   N(229, 273)  \n25  naive  2020-06-20 09:00:00 228.81   N(229, 284)  \n26  naive  2020-06-20 10:00:00 228.81   N(229, 295)  \n27  naive  2020-06-20 11:00:00 228.81   N(229, 307)  \n28  naive  2020-06-20 12:00:00 228.81   N(229, 318)  \n29  naive  2020-06-20 13:00:00 228.81   N(229, 330)  \n30  naive  2020-06-20 14:00:00 228.81   N(229, 341)  \n⋮   ⋮      ⋮                   ⋮        ⋮            \n187 arima  2020-06-21 03:00:00 228.6672 N(229, 143)  \n188 arima  2020-06-21 04:00:00 228.6672 N(229, 146)  \n189 arima  2020-06-21 05:00:00 228.6672 N(229, 150)  \n190 arima  2020-06-21 06:00:00 228.6672 N(229, 153)  \n191 arima  2020-06-21 07:00:00 228.6672 N(229, 156)  \n192 arima  2020-06-21 08:00:00 228.6672 N(229, 159)  \n193 arima  2020-06-21 09:00:00 228.6672 N(229, 162)  \n194 arima  2020-06-21 10:00:00 228.6672 N(229, 166)  \n195 arima  2020-06-21 11:00:00 228.6672 N(229, 169)  \n196 arima  2020-06-21 12:00:00 228.6672 N(229, 172)  \n197 arima  2020-06-21 13:00:00 228.6672 N(229, 175)  \n198 arima  2020-06-21 14:00:00 228.6672 N(229, 178)  \n199 arima  2020-06-21 15:00:00 228.6672 N(229, 182)  \n200 arima  2020-06-21 16:00:00 228.6672 N(229, 185)  \n201 arima  2020-06-21 17:00:00 228.6672 N(229, 188)  \n202 arima  2020-06-21 18:00:00 228.6672 N(229, 191)  \n203 arima  2020-06-21 19:00:00 228.6672 N(229, 195)  \n204 arima  2020-06-21 20:00:00 228.6672 N(229, 198)  \n205 arima  2020-06-21 21:00:00 228.6672 N(229, 201)  \n206 arima  2020-06-21 22:00:00 228.6672 N(229, 204)  \n207 arima  2020-06-21 23:00:00 228.6672 N(229, 207)  \n208 arima  2020-06-22 00:00:00 228.6672 N(229, 211)  \n209 arima  2020-06-22 01:00:00 228.6672 N(229, 214)  \n210 arima  2020-06-22 02:00:00 228.6672 N(229, 217)  \n211 arima  2020-06-22 03:00:00 228.6672 N(229, 220)  \n212 arima  2020-06-22 04:00:00 228.6672 N(229, 223)  \n213 arima  2020-06-22 05:00:00 228.6672 N(229, 227)  \n214 arima  2020-06-22 06:00:00 228.6672 N(229, 230)  \n215 arima  2020-06-22 07:00:00 228.6672 N(229, 233)  \n216 arima  2020-06-22 08:00:00 228.6672 N(229, 236)  "},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Accuracy on test set (all timeseries models)"},{"metadata":{"trusted":false},"cell_type":"code","source":"accuracy(ts_forecasts, ts_test)","execution_count":43,"outputs":[{"output_type":"stream","text":"Warning message:\n“The future dataset is incomplete, incomplete out-of-sample data will be treated as missing. \n2 observations are missing between 2020-06-19 09:00:00 and 2020-06-19 10:00:00”\n","name":"stderr"},{"output_type":"display_data","data":{"text/html":"<table>\n<caption>A tibble: 3 × 9</caption>\n<thead>\n\t<tr><th scope=col>.model</th><th scope=col>.type</th><th scope=col>ME</th><th scope=col>RMSE</th><th scope=col>MAE</th><th scope=col>MPE</th><th scope=col>MAPE</th><th scope=col>MASE</th><th scope=col>ACF1</th></tr>\n\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n</thead>\n<tbody>\n\t<tr><td>arima </td><td>Test</td><td> 1.2168944</td><td>2.280683</td><td>1.620643</td><td> 0.5224139</td><td>0.7001108</td><td>NaN</td><td>0.8486155</td></tr>\n\t<tr><td>naive </td><td>Test</td><td> 1.0742857</td><td>2.207903</td><td>1.542000</td><td> 0.4603746</td><td>0.6661552</td><td>NaN</td><td>0.8486243</td></tr>\n\t<tr><td>snaive</td><td>Test</td><td>-0.6645714</td><td>3.324478</td><td>2.815143</td><td>-0.2990615</td><td>1.2226140</td><td>NaN</td><td>0.7996499</td></tr>\n</tbody>\n</table>\n","text/markdown":"\nA tibble: 3 × 9\n\n| .model &lt;chr&gt; | .type &lt;chr&gt; | ME &lt;dbl&gt; | RMSE &lt;dbl&gt; | MAE &lt;dbl&gt; | MPE &lt;dbl&gt; | MAPE &lt;dbl&gt; | MASE &lt;dbl&gt; | ACF1 &lt;dbl&gt; |\n|---|---|---|---|---|---|---|---|---|\n| arima  | Test |  1.2168944 | 2.280683 | 1.620643 |  0.5224139 | 0.7001108 | NaN | 0.8486155 |\n| naive  | Test |  1.0742857 | 2.207903 | 1.542000 |  0.4603746 | 0.6661552 | NaN | 0.8486243 |\n| snaive | Test | -0.6645714 | 3.324478 | 2.815143 | -0.2990615 | 1.2226140 | NaN | 0.7996499 |\n\n","text/latex":"A tibble: 3 × 9\n\\begin{tabular}{lllllllll}\n .model & .type & ME & RMSE & MAE & MPE & MAPE & MASE & ACF1\\\\\n <chr> & <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n\\hline\n\t arima  & Test &  1.2168944 & 2.280683 & 1.620643 &  0.5224139 & 0.7001108 & NaN & 0.8486155\\\\\n\t naive  & Test &  1.0742857 & 2.207903 & 1.542000 &  0.4603746 & 0.6661552 & NaN & 0.8486243\\\\\n\t snaive & Test & -0.6645714 & 3.324478 & 2.815143 & -0.2990615 & 1.2226140 & NaN & 0.7996499\\\\\n\\end{tabular}\n","text/plain":"  .model .type ME         RMSE     MAE      MPE        MAPE      MASE ACF1     \n1 arima  Test   1.2168944 2.280683 1.620643  0.5224139 0.7001108 NaN  0.8486155\n2 naive  Test   1.0742857 2.207903 1.542000  0.4603746 0.6661552 NaN  0.8486243\n3 snaive Test  -0.6645714 3.324478 2.815143 -0.2990615 1.2226140 NaN  0.7996499"},"metadata":{}}]},{"metadata":{},"cell_type":"markdown","source":"### Visualize Forecasts"},{"metadata":{"trusted":false},"cell_type":"code","source":"ggplot(ts_forecasts, aes(x=DateTime, y=.mean, color=.model)) + geom_line()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"### Interactive Forecasts Chart"},{"metadata":{"scrolled":false,"trusted":false},"cell_type":"code","source":"ggplotly(ggplot(ts_forecasts, aes(x=DateTime, y=.mean, color=.model)) + geom_line())","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"name":"ir","display_name":"R","language":"R"},"language_info":{"name":"R","codemirror_mode":"r","pygments_lexer":"r","mimetype":"text/x-r-source","file_extension":".r","version":"3.6.3"}},"nbformat":4,"nbformat_minor":4}