enzoampil/fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

57
/ 100
Established

This tool helps financial traders and investors test out different investment strategies using historical stock and cryptocurrency data. You input the historical prices for assets you're interested in, select a trading strategy, and the tool shows you how that strategy would have performed over time, including the final portfolio value. This is ideal for individual investors or quantitative analysts looking to quickly evaluate trading ideas.

1,742 stars. No commits in the last 6 months. Available on PyPI.

Use this if you want to quickly test how various trading strategies would perform on historical stock or crypto data before committing real capital.

Not ideal if you prefer a no-code solution or need extremely high-frequency trading simulations with complex order book dynamics.

quantitative-trading investment-analysis financial-modeling portfolio-backtesting market-strategy
Stale 6m
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

1,742

Forks

259

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 15, 2023

Commits (30d)

0

Dependencies

29

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