1. Automatic download historical stock data
2. Technical Indicators & Charts
3. Using ML algorithm to Predictive (Progressing...)
4. Support Backtesting

• ATR (Average True Range)
• Bollinger Bands
• CCI (Commodity Channel Index)
• DMA (Different of Moving Average)
• DMI (Directional Moving Index)
• EMA (Exponential Moving Average)
• KDJ (Stochastic Oscillator)
• MACD (Moving Average Convergence Divergence)
• MSTD (Moving Standard Deviation)
• MVAR (Moving Variance)
• RSI (Relative Strength Index)
• SMA (Simple Moving Average)
• SMMA (Smoothed Moving Average)
• TEMA (Triple Exponential Moving Average)
• TR (True Range)
• VR (Volatility Volume Ratio)
• WR (Williams Overbought/Oversold Index)
• ...(TBC)

• numpy>=1.13.3
• pandas>=0.21.0
• matplotlib>=2.1.0
• matplotlib/mpl_finance (github.com/matplotlib/mpl_finance)
• PyQt5>=5.9.2
• urllib3>=1.22
• requests>=2.18.4
• assertpy>=0.12
• scikit-learn>=0.19.12
• scipy>=1.1.0
• imbalanced-learn>=0.3.3

1. cd to src path
2. SET PYTHONPATH=.
3. run python Program\__init__.py

1. cd to src path
2. export PYTHONPATH=.
3. run python Program/__init__.py

1. jealous/stockstats - (https://github.com/jealous/stockstats) - BSD 3-Clause

This project is licensed under the terms of the MIT license.