Beside, after nearly 2 years practicing, now I have another bot running, and this screenshot perfectly shows my point: the bot is just following your orders, and it will get into trouble if your main idea about the market direction is wrong.

You can see the Grid Profit is a very healthy +30.12%, which means the bot has been great at buying low and selling high over 1,239 trades. It did exactly what it was programmed to do!

However, because I set a Short strategy (betting the price would go down) and the price likely went up over those 105 days, the Unrealized Profit is deep red at -32.5%. The trades the bot opened are now worth less than the bot paid for them.

This creates a Net Loss (-2.39%) and, critically, shows that the excellent performance of the automated tool is completely canceled out by a failure in the human’s core strategy, the conviction that the asset’s price was going to fall.

3. Be Critical of “AI-Powered” Backtesting Claims

Many platforms offer “AI-powered” or “Smart” settings. What this usually means is the system ran a backtest to show you the best-performing settings for a specific, often narrow, period of time in the past.

The danger here is that a backtest run on data from “last week” might have only captured an ideal scenario, a smooth up-and-down movement perfect for a grid. It usually doesn’t show you how that strategy would perform during a sudden crash, a massive pump, or a prolonged calm period. You’re only seeing the best-case performance.

This is OKX’s description on how they defines “AI-Strategy" — IT’S JUST A BACKTESTED STRATEGY

Since major exchanges like Binance don’t offer complex backtesting tools, you need to use dedicated third-party platforms like CryptoHopper, 3commas (Paid) or free tool like BuddyTrading (as seen in the image) to stress-test your strategy. Look closely at the key components of the results:

• Net Profit / ROI: This is the headline number, but it’s often misleading.
• Transaction Fee: The platform accounts for fees (like the small negative value you see), which is crucial for determining if your strategy is viable (Insight #1).
• Max Drawdown: This is the largest historical drop in capital. If a strategy shows a high ROI but also a 30% drawdown, you need to be prepared for that risk in a real market.
• The Chart: Always look at the chart. A successful strategy should have an Equity Curve that moves up smoothly. If the chart is volatile or shows large drops, that’s a warning sign.

The goal is to test your settings across multiple time ranges (a bull run, a bear market, and a sideways period) to verify they work no matter how the market behaves. Use these detailed metrics to avoid over-optimizing your bot for just one perfect past scenario.

4. Successful Bot Trading Requires Patience and Wide Range Settings

My initial impatience led me to stop bots after just three to five days when I didn’t see huge returns. This stop-and-start approach was a guaranteed way to accumulate small losses and fees without giving any strategy a real chance to gain momentum.

Experienced bot users often emphasize two things: patience and wider parameters. You need to give the bot time (weeks, months, not days) to accumulate small wins. Furthermore, widening the price range of your grid gives the bot more room to trade without getting stuck and ensures the profit per trade is substantial enough to overcome fees.

Key Insight: Avoid setting the range too tightly. Treat the bot as a long-term accumulator. The goal is small, consistent gains over time, not quick, dramatic profits.