MaxwellMendenhall/ml_backtest
Backtesting of trading strategies with machine learning.
This tool helps quantitative traders evaluate and optimize their trading strategies that rely on candlestick patterns. It takes historical market data as input and first runs a traditional backtest for patterns like Inverted Hammer or Bullish Engulfing. Then, it applies machine learning to refine the strategy, providing an optimized backtest result to help traders make more informed decisions.
No commits in the last 6 months.
Use this if you are a quantitative trader wanting to rigorously test and improve candlestick-based trading strategies using machine learning techniques.
Not ideal if your trading strategies do not involve candlestick patterns or if you are not comfortable working with code.
Stars
8
Forks
2
Language
Python
License
MIT
Category
Last pushed
Apr 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MaxwellMendenhall/ml_backtest"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
polakowo/vectorbt
⚡️ Lightning-fast backtesting engine to find your trading edge.
asavinov/intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning...
Drakkar-Software/OctoBot-Script
Quant trading framework by OctoBot. Write, backtest & automate Python trading strategies like...
paperswithbacktest/pwb-toolbox
The toolbox for developing systematic trading strategies. It includes datasets and strategy...
ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting