A repository of algorithms exploring the use of supervised machine learning. Each tool has its own folder, containing codes for time-series analysis/forecasting and computational vision.
The following algorithms are available:
An object-oriented programming (OOP) code for creating and analyzing technical indicators in financial time series. It downloads market data via Yahoo Finance API and allows the application of different indicators to choose the best strategies.
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Backtest with weighted moving average (WMA)
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Backtest with Bollinger bands (BB)
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Backtest with moving average convergence divergence (MACD)
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Backtest with parabolic stop and reverse (SAR)
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Backtest with supertrend (ST)
This compact algorithm is mainly used for implementing/testing new technical indicators before inserting them into our robust tools like B3 Trading Signals and Market Trading Signals.