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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.
Backtest any AI trading bot strategy in seconds
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.
Strategy Backtester
Deterministic, reproducible market series · no lookahead · fees modeled in basis points
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Round Trips
Educational tool — not financial advice. Backtests use deterministic synthetic price series that mimic each market's drift and volatility so results are reproducible and shareable. Real markets include gaps, slippage and liquidity limits. Past performance never guarantees future results. See the SEC investor.gov basics and CFTC guidance before trading.
What you can test
Five battle-tested strategy archetypes, each one a real bot template you can build from our code guides.
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RSI Mean Reversion
Buy oversold, sell overbought. Thrives in ranging markets and struggles in strong trends — the inverse profile of momentum.
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Momentum Breakout
Enter when price breaks a rolling N-bar high, exit on the breakdown. Captures big trends, accepts many small losses.
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Grid Trading
Place layered buy/sell orders around a mid-price. Harvests volatility in sideways markets — the favorite of crypto grid bots.
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DCA
Dollar-cost average: stay fully invested and accumulate. The benchmark every active strategy must beat to justify its fees.
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Your own
Use our build guide to wire these into a live bot with Python or JavaScript, ccxt and a paper-trading sandbox.
5
Strategies
7
Markets
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Signup needed
100%
In-browser
Learn the craft
Deep, code-first guides written from real algo-trading experience — no recycled fluff.
Bots, exchanges & strategies
Deep guides for every major bot type, exchange and strategy — each one links back to the backtester as the interactive payoff.
Exchanges, platforms & reviews
Connect a bot to any major exchange, or weigh up the popular bot platforms — with code, security guidance and honest, no-hype reviews.
Building, deploying & running a bot
The operational craft behind a bot that survives: deployment, key security, risk control and the mistakes that blow up accounts.
Advanced strategies & techniques
Beyond the basics: the strategy families that demand more — and the realities of where each one actually works.
Trading concepts & mechanics
The non-negotiable fundamentals every bot is built on — order execution, exits, sizing, leverage and the metrics that tell you whether a strategy is actually any good.
Indicator strategies, with code
The classic technical indicators turned into exact, codeable rules — each guide shows the formula, an SVG diagram, the Python and where the strategy actually works.
Methodology, infrastructure & ops
The craft behind a bot you can trust: validating it honestly, hosting it 24/7, wiring up signals and managing a whole portfolio of strategies.
Foundations, execution & building
The bedrock concepts and hands-on engineering behind a working bot — what an algorithm and a signal actually are, the execution algos the pros use, connecting and coding with ccxt, and running it reliably without overfitting.
Frequently asked questions
Is this AI trading bot backtester really free?
Yes — it runs entirely in your browser with no signup, no account and no payment. Test as many strategies as you like.
Where does the price data come from?
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.
Do AI trading bots make money?
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?