AI for winning trading strategies
Built by AlgoAlpha - experts in the quant field, trusted by millions on TradingView
It's a library. With a librarian.
AlgoAlpha pre-computes thousands of backtested strategy combinations and keeps them on a shelf. Atlas reads your question in plain English and pulls the right ones down.
The corpus.
Every backtested combination of indicator family, asset, timeframe, direction, trigger, and state — pre-run and indexed. Adding a new indicator means re-running the suite. The shelf grows; nothing is generated on the fly.
The libraryThe model.
Atlas translates intent into structured queries against the library, ranks the results by your goal (Sharpe, win rate, EV), and explains the trade-offs. It never invents a strategy — only surfaces existing ones.
The librarianAsk in your own words.
An AI strategy assistant that reads the market through tens of thousands of backtests. Every answer is grounded in a real result, not the model's training data.
Built for the workflow you already have.
Natural-language search
Describe what you're looking for. Atlas surfaces pre-computed, backtested strategies that match.
Indicator-suite optimization
Search across AlgoAlpha indicators to find combinations that maximize win rate, Sharpe, or expected value.
Backtest-grounded answers
Every recommendation is backed by historical results — no hallucinated edges, no vibes.
Built for TradingView
Direct support for AlgoAlpha's paid indicator suite, with seamless export to your charts.
Speak the way you actually think about markets.
No DSL, no parameter sweeps, no spreadsheet juggling. Atlas reads intent and returns evidence.
- >Find me a mean-reversion strategy for BTC with Sharpe > 1.5
- >What works best on ETH 4H since 2022?
- >Optimize AlphaTrend for QQQ on 1H — maximize win rate
- >Compare RSI strategies across crypto majors