Combining AI Trade Signals with Manual Analysis My Early Results
I’ve been involved in crypto trading for a while now, mainly focusing on short-term trades on pairs like BTC/USDT, ETH/USDT, and SOL/USDT. My biggest challenge has always been timing my entries and avoiding emotional trades that come from staring at charts for hours.
Recently, I decided to experiment with an AI-powered trade analysis tool that runs on Telegram. It scans multiple crypto pairs in real time, applies a range of technical strategies, and then suggests:
Entry priceStop-loss (SL)Take-profit (TP)Trade direction (Long/Short)Confidence rating with reasoningThe strategies it uses include well-known tools like MACD, VWAP, Stochastic RSI, Bollinger Bands, OBV, and RSI Divergence, as well as some more advanced concepts like ICT trading models and Fair Value Gaps.
For the past week, I’ve been running it alongside my own manual chart analysis. I only take trades where the AI signal and my own analysis agree - this way, I’m not following it blindly. So far:
It’s reduced my number of bad entriesHelped me act faster during sudden market movesGiven me more structure so I’m not chasing every price movementOne thing I like is that the tool has a free version, which meant I could test it without committing funds upfront. The fact that it’s integrated into Telegram makes it quick to access without logging into a separate platform.
I’m curious if anyone else here has tried blending AI-driven trade signals with manual analysis.
Did it improve your win rate or consistency?How do you decide which AI signals to trust?Do you think this hybrid approach works better than relying on only one method?Would love to hear how others are using AI tools to support their trading.
