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stockprobe's Introduction

StockProbe

Predict stock prices with this machine learning model. Using a stacked LSTM neural network to work with the time-series data of stock prices over the years, the algorithm can make predictions on the prices of future stocks. These predictions can be observed with a dashboard of graphs.

Libraries

  • Pandas
  • NumPy
  • MatPlotLib
  • Keras
  • SkLearn
  • Dash (Flask + react.js)

How to Use

  1. Download the source code
  2. Pull desired index/company time-series data
  3. Edit filenames and graph labels as desired
  4. Run project on browser

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stockprobe's People

Contributors

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