Comparison of Trading Strategies - return percent.
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Updated
May 9, 2023 - Jupyter Notebook
Comparison of Trading Strategies - return percent.
Node js & python
How to build serverless and event-driven cloud-native applications with Azure in Java.
The algorithm for various trading strategies using different technical indicators and comparing all the different strategies on various parameters.
The MATLAB code analyses stock prices of a company and predicts the closing price. The algorithms implemented for predicting closing price are: (a)Kalman Filter (b)Kalman Multiple Linear Regression The algorithms implemented for analysing the trends in a stock (c) Bollinger bands (d). Chaikin Oscillator Output - 1. Graphs showing the predicted a…
Multithreaded stock market simulation that allows for different trading bots running various financial strategies and technical indicators. Creates a Market Making Bot running off of AAPL data.
Bollinger Bands Width Stock Scanner - NYSE, NASDAQ & B3 (Brazil)
Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.
Dashboard to view a stock's basic information, RSI, Bollinger bands, EMA, SMA, sentiment analysis via Python
I AM NOT A DAYTRADER (i just did this to learn the code) You know those girls who only talk about zodiac signs? I have more faith in their quantitative ability than i do 4 guys who use technical analysis for anything besides understanding market behavior & implementing their own personal strategy to mitigate the risk of emotional trading decisions
This repository is a collection of open-source use-case examples of algorithmic or quant trading in Python.
Random Plotly Dash scripts, mostly TA related
Exploring Dow Jones Components
The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategies. The indicators applied in the project are Simple Moving Average 200, Bollinger Bands, and RSI - Relative Strength Index.
Stock market momentum analysis using averaging of 7 weighted technical indicators
FOREX data for various currency pairs is used and different methods are used to analyse trend of these pairs.Future prediction of these currency pairs and trading strategies to maximize returns
An EA based on Bollinger Band breakout.
Test technical indicators
Bollinger Bands Width Stocks Telegram Bot - NYSE, NASDAQ & B3 (Brazil)
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