1Look Beyond Marketing Screenshots
Single-account equity curves or isolated trade screenshots can be highly misleading. Trustworthy AI systems should be evaluated on long-term performance, robustness across pairs and timeframes, and realistic assumptions about spreads and slippage.
"In trading, discipline is more important than prediction."
Ask how the system was tested, how long it has been live, and what risk settings were used. Consistency over time matters far more than one spectacular month.
Key Takeaways
- Understanding market psychology is crucial for consistent profits
- Risk management should always come before profit targets
- AI tools can enhance but not replace human decision-making
2Transparency and Control for the End User
You should always understand how to adjust basic parameters like risk per trade, maximum open positions and which pairs are traded. Black-box systems with no risk controls put your capital at unnecessary risk.
"In trading, discipline is more important than prediction."
ShamsGS emphasizes user control and clear documentation so traders know exactly how the system interacts with their account.