SMA Crossover
The classic trend follower: go long when the fast moving average crosses above the slow one. Simple, robust, and the best starting point for a first bot.
Pick a strategy, choose a market, and instantly see the equity curve, win rate, total return and maximum drawdown — benchmarked against buy & hold. Built by an algo trader, not a marketing team.
Deterministic, reproducible market series · no lookahead · fees modeled in basis points
Five battle-tested strategy archetypes, each one a real bot template you can build from our code guides.
The classic trend follower: go long when the fast moving average crosses above the slow one. Simple, robust, and the best starting point for a first bot.
Buy oversold, sell overbought. Thrives in ranging markets and struggles in strong trends — the inverse profile of momentum.
Enter when price breaks a rolling N-bar high, exit on the breakdown. Captures big trends, accepts many small losses.
Place layered buy/sell orders around a mid-price. Harvests volatility in sideways markets — the favorite of crypto grid bots.
Dollar-cost average: stay fully invested and accumulate. The benchmark every active strategy must beat to justify its fees.
Use our build guide to wire these into a live bot with Python or JavaScript, ccxt and a paper-trading sandbox.
Deep, code-first guides written from real algo-trading experience — no recycled fluff.
Deep guides for every major bot type, exchange and strategy — each one links back to the backtester as the interactive payoff.
Yes — it runs entirely in your browser with no signup, no account and no payment. Test as many strategies as you like.
Each market uses a deterministic synthetic series calibrated to that asset's historical drift and volatility, with regime switching for realistic trend-and-chop cycles. This makes every backtest reproducible and shareable. To validate a real strategy before risking money, re-run it on live exchange data with a library like ccxt — our build guide shows how.
Some do, but most retail bots underperform buy-and-hold after fees and slippage. That is exactly why backtesting matters. Read our evidence-based breakdown: do AI trading bots work?