TensorFlow LSTM Time Series Algorithm for Stock Market Forecasting
This inference model was trained to forecast the following 10 stocks on data from May 18th, 2012 to June 9th, 2023:
- AAPL
- AMD
- AMZN
- AVGO
- GOOG
- INTC
- META
- MSFT
- NVDA
- ORCL
Step 1:
Use the build_dataset script to convert individual ticker CSV data from Yahoo Finance's Historical Data tool to a complete training dataset.
Step 2:
Run the TensorFlow training algorithm, updating the ticker array and input shape as needed. By default, the input shape is (5, 10) -- (10 input features and 5 previous time series point per prediction).
Dependencies (pip):
- tensorflow
- numpy
- pandas
- matplotlib
Step 3:
Update the ticker array in the model wrapper class as needed. Then, test predictions.
Training Results (view in notebook):
