AbnerTeng/Quant-Finance
A main CTA backtesting system and several research of utilizing machine learning on asset pricing
This project helps quantitative traders and analysts develop and test automated trading strategies, specifically for CTA (Commodity Trading Advisor) systems and ETF investments. It takes market data and user-defined trading rules to simulate how a strategy would have performed historically, providing insights into its potential profitability and risk.
No commits in the last 6 months.
Use this if you are a quantitative trader, algorithm trading mentee, or financial researcher looking to backtest CTA strategies or explore machine learning-enhanced ETF entry points.
Not ideal if you are a beginner looking for a simple, out-of-the-box trading bot or a tool for manual stock picking.
Stars
14
Forks
3
Language
Python
License
—
Category
Last pushed
Dec 09, 2024
Commits (30d)
0
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