Python implementations of commonly used trading algorithms
Project description
AlgoTrading
Python Implementations of popular Algorithmic Trading Strategies, along with genetic algorithms for tuning parameters based on historical data.
Algorithms -
- CCI Correction (Done)
- Stochastic Pop and Drop (Done)
- Percent Above 50-day SMA (Done)
- Moving Momentum (Done)
- Exponential Moving Averages (Done)
- Double Exponential Moving Averages (Done)
- Triple Exponential Moving Averages (Done)
- Six-Month Cycle MACD (Done)
- Gap Trading Strategies
- Harmonic Patterns
- The Last Stochastic Technique
- Percent B Money Flow
- Pre-Holiday Effect
- RSI2
- Faber’s Sector rotation Trading Strategy
- CVR3 VIX Market Timing
- Slope Performance Trend
- Swing Charting
- Ichimoku Cloud
- Trend Quantification and Asset Allocation
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