Build, backtest, and iterate on trading algorithms using natural language. A CLI tool powered by AI for generating Python trading strategies.
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I've been sitting on trading strategy ideas for years but never had the quant background to execute them. The tooling assumes you already know Python, pandas, and backtrader. There's no middle ground between "use a no-code toy" and "write it all yourself."
So I built Finny, you describe a strategy in plain English, it generates the Python, validates it (lookahead bias, syntax, safety checks), and lets you backtest it immediately. I've been running 3-4 algorithms live this week, sitting at +2.3% net. Also it connects with your Alpaca Account and you can paper trade on your machine for free.
Curious if others have hit this wall. Is the barrier really the code, or is it something else data access, brokerage APIs, understanding the math behind the metrics?
GitHub: https://github.com/Jaiminp007/finny
Website: https://www.finnyai.tech
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