I have disabled that AI trader, and the reason is simple—its data is garbage.

Here's what happened. Last night, it kept popping up frantic alerts: "Gas fees skyrocketing! Hurry and go all-in!" Turns out, it was just a small project clogging the network, yet it took this as a bullish signal. Honestly, it mistook network congestion for market frenzy.

Where's the core problem? Its data sources are just trash. It consumes secondhand exchange information, drinks watered-down market rumors, and trusts all sorts of processed hearsay. Such an AI, no matter how advanced its algorithm, is useless—like a nearsighted shooter blindly firing, relying solely on guesswork.

Until I connected it to higher-quality data sources. The difference is like night and day. From scavenging leftovers at a market to sourcing directly from the origin:

**First Trick: Direct Connection to Data Sources**
Connect to over 20 data mines, allowing the AI to listen directly to real-time data from miners, exchanges, and nodes. Use consensus mechanisms to verify authenticity, completely rejecting those processed, averaged-out garbage data.

**Second Trick: Every Data Point Has an ID Card**
All data points come with timestamps, source nodes, and consensus signatures—traceability info. The AI understands what it’s eating, and you can investigate thoroughly. The entire decision-making chain is fully auditable.

**Third Trick: Upgraded Anti-Interference Capabilities**
Decentralized network plus secure dedicated lines. When under attack, automatically switch data sources. The system will defend itself and preserve evidence.

Comparison of data before and after improvements:
- Trading opportunities captured in 7 days increased from 11 to 19
- Average slippage reduced from 0.6% to 0.2%
- Failed trades caused by data errors dropped from 4 to 0
- All data stored on-chain for permanent verification

A friend who has used it said directly: "It’s like listening to war reports on a radio, upgraded to commanding via satellite live broadcast."

Why not do a quick checkup on your own AI: see if it can clearly state the three specific data sources it uses for price judgment (if not, that’s dangerous); try inserting false signals into the data stream and observe if it blindly charges ahead; run the same strategy with higher-quality data sources and compare the transparency of its decisions.

Now, the real dividing line in AI trading is actually a simple question: what quality data are you feeding it? The difference in data sources is the gap in decision quality.

Stop worrying about why your AI is "stupid." First, look at what’s in its bowl—if there’s no real, traceable data proof, no matter how clever the algorithm, it can’t save you.