Battle-tested strategies, ready to run on the tools you already use. No quant team, no months of infrastructure. Pick an algo and go.
Trend following · Hyperliquid
Jan–Jun 2026 · illustrative sample, not a live return.
How it works
Our agents generate and stress-test strategy variants across bull, chop, and crash periods, so an algo earns its place on more than one lucky window.
We reverse-engineer the patterns behind consistently profitable traders and rebuild them as transparent, testable strategies.
Promising ideas from algo subreddits, X, and public repos, then put through the exact same gauntlet as everything else.
Backtested on Freqtrade, Nautilus Trader, and Hummingbot before listing. When you are ready to go live, deploy through an execution API such as Superior Trade.
Built for the open-source engines you already run: Freqtrade, Nautilus Trader, and Hummingbot.
Perp strategies for Hyperliquid — carry, mean-reversion, breakout, and arbitrage — each backtested on Freqtrade, Nautilus Trader, or Hummingbot.
Carry / funding capture
Backtest: Jan–Jun 2026 · illustrative sample
Mean reversion
Backtest: Oct 2025–Jun 2026 · illustrative sample
Trend following
Backtest: Jan–Jun 2026 · illustrative sample
Volatility breakout
Backtest: Mar–Jun 2026 · illustrative sample
Spot–perp arbitrage
Backtest: Jan–Jun 2026 · illustrative sample
Figures are illustrative samples pending published backtests, not live returns.
Prediction-market strategies — event drift, contrarian fades, news momentum, and liquidity provision — are in testing now and land here next.
Browse the Hyperliquid algos meanwhile →No. The figures shown are illustrative backtest samples pending published results, not live or verified track records. Nothing here is financial advice.
Each algo is built and tested on open-source engines — Freqtrade, Nautilus Trader, and Hummingbot — so you can run it with the tools you already use.
No. The point of openalgo is to skip the months of research and infrastructure: pick a tested strategy, drop it into your engine, and go.
A mix: variants stress-tested by our agents across market periods, patterns reverse-engineered from consistently profitable traders, and ideas surfaced from algo communities. Every one is put through the same testing before it is listed.