https://github.com/edouardkombo/linear-regression-forecast

Simple linear regression prediction in Python for timeseries data
https://github.com/edouardkombo/linear-regression-forecast

forex-market forex-prediction linear-regression python stock-price-prediction

Last synced: 2 months ago
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Simple linear regression prediction in Python for timeseries data

• Host: GitHub
• URL: https://github.com/edouardkombo/linear-regression-forecast
• Owner: edouardkombo
• Created: 2021-01-31T12:48:34.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-26T09:15:05.000Z (over 4 years ago)
• Last Synced: 2025-03-27T14:21:49.994Z (7 months ago)
• Topics: forex-market, forex-prediction, linear-regression, python, stock-price-prediction
• Language: Python
• Homepage:
• Size: 2.93 KB
• Stars: 5
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Simple Linear Regression prediction for trading markets

This was my first prediction model in Python for my Phoenix Cartel expert advisors, before I:

- moved to Metatrader historical data

- started neural networks for self learning robots

Overall, you will reach an accuracy of 85-90% on next day (high, low, close) price, depending on your risk strategy.

!!! TRADE AT YOUR OWN RISKS !!!

I no longer use this code as I achieved better accuracy.

# How to use it

    from LinearRegressionForecast import LinearRegressionForecast

    forecast = LinearRegressionForecast("EURUSD", "2009-01-01", "2021-01-30")

    High = forecast.run_prediction("High")

    Low = forecast.run_prediction("Low")

    Close = forecast.run_prediction("Close")

    print(High[0], Low[0], Close[0])