Backtesting
Look for fee settings, slippage assumptions, multiple time frames, and realistic historical data coverage.
A practical checklist for comparing automation tools without getting distracted by hype, screenshots, or unrealistic performance claims.
Look for fee settings, slippage assumptions, multiple time frames, and realistic historical data coverage.
Simulated execution helps reveal weak logic before funds are connected through exchange APIs.
Position caps, daily loss limits, stop conditions, and emergency pause controls should be easy to find.
Use restricted API keys, disable withdrawals, rotate credentials, and keep exchange permissions minimal.
Push, email, or dashboard alerts should flag failed orders, unusual volatility, drawdown, and connection issues.
Good logs show why a trade happened, what signal fired, and which rule controlled the final action.
| Feature | Why It Matters | What to Avoid |
|---|---|---|
| Strategy Builder | Turns repeatable rules into automation. | Black-box logic with no explanation. |
| Exchange Support | Determines liquidity, fees, and order types. | Unknown exchanges or excessive permissions. |
| Risk Dashboard | Keeps exposure visible during volatile markets. | Interfaces that only show profit charts. |
| Manual Override | Lets users pause or adjust during abnormal events. | Automation that cannot be stopped quickly. |
A reliable AI crypto trading bot setup should make risk easier to see, not easier to ignore.