Beyin Finance AI is an end-to-end algorithmic trading strategy platform that lets you go from a plain-language strategy idea to a fully backtested result — without writing a single line of code yourself.
How it works, step by step:
You describe your trading strategy in plain text — something like "buy when the 50-period EMA crosses above the 200-period EMA and RSI is below 35" — and the platform's AI engine (powered by Claude) converts that description into production-ready Python code automatically. The generated code is shown to you for review before anything is saved, and you can discard it if it doesn't look right.
Once a strategy is saved, you select a coin, a date range going as far back as January 2018, and run a full historical backtest against real OHLCV price data stored locally. The engine scans every candle in the selected range, applies your strategy's entry logic, and records every signal as either a GAIN, LOSS, or UNKNOWN (position still open at period end). Results are saved with the exact date range baked into the filename so nothing gets mixed up.
After the backtest completes, the Position Analysis view lets you tune commission, spread, limit and stop boundaries interactively — sliders update the outcome metrics in real time. You get win rate, average profit, total return, and an estimated monthly compounding figure. Every trade is listed in a table you can download as CSV, and a full Plotly chart shows price action, moving averages, and every entry/exit point with colored trade zones — all scoped to the backtest period.
The platform also handles its own data pipeline. A built-in downloader pulls historical candlestick data directly from Binance for any coin and timeframe (1m through 1w), picks up where it left off if data already exists, and intelligently skips periods before a coin was listed rather than failing silently. A separate precision tool fetches the correct price and quantity decimal precision for every USDT pair so backtests format prices exactly as Binance expects.
Key properties of the generated strategies:
Every strategy the AI writes is pure Python with zero external dependencies — no pandas, no numpy, no TA libraries. This means the code runs anywhere: locally, on a server, or inside AWS Lambda without any layers. All indicators (EMA, RSI, SMA, MACD, Bollinger Bands, multi-timeframe aggregation) are implemented from scratch inside the function itself.
