How to Choose a Trading Bot
A practical framework for evaluating trading bots beyond the headline return number — risk metrics, sample size, market fit, and red flags to watch for.
The biggest mistake traders make when choosing a trading bot is sorting by return percentage and stopping there. Return without context is close to meaningless — the questions below are what actually separates a robust strategy from one that got lucky on a specific backtest period.
1. Check risk-adjusted performance, not just return
A 60% annual return with a 45% maximum drawdown is a very different proposition from a 30% return with an 8% drawdown — even though the first number looks more impressive. Compare Sharpe ratio, Sortino ratio, and recovery factor alongside raw return to understand what a strategy actually cost in volatility to achieve its result.
2. Look at sample size
A backtest with 40 trades tells you very little — the sample is too small to distinguish genuine edge from statistical noise. Favor strategies with several hundred trades or more across multiple market regimes and years of data, not just a strong-looking recent quarter.
3. Match the strategy to your risk tolerance, not the highest number
A high-drawdown, high-return strategy isn't 'better' than a low-drawdown, moderate-return one — it's better for a different kind of trader. Be honest about the maximum drawdown you could sit through without abandoning the strategy at the worst possible time, and filter for that first.
4. Check what market and session it was built for
A strategy tuned for the London session on EURUSD may perform poorly if deployed on a low-liquidity pair during Asian hours. Verify the asset, timeframe, and session the bot's backtest and live track record actually reflect.
5. Watch for red flags
Be skeptical of round, suspiciously smooth equity curves (real markets are noisy — a backtest that looks too clean may be overfit), returns with no accompanying drawdown or risk data, developers with no verifiable track record, and strategies with extremely high leverage or martingale-style position sizing (increasing bet size after losses), which can produce impressive-looking returns until a single losing streak wipes out the account.
Frequently asked questions
Should I always pick the algorithm with the highest Sharpe ratio?
It's a strong signal, but not the only one. Also weigh trade count (statistical significance), whether the strategy matches your risk tolerance, and whether its market and session fit how you actually intend to trade.
How many trading bots should I run at once?
There's no fixed number — the goal is genuine diversification. Running several bots that all trade the same asset and session in a similar style concentrates risk rather than spreading it. Check correlation between strategies, not just their individual performance.