Marketplaces are full of EAs with perfect curves and no live proof. How do you evaluate a purchased bot? Share your checklist: verified live accounts, forward tests, parameter sensitivity and the seller's transparency.
Most commercial EAs look attractive because curve-fitting a backtest to past price data is easy. Vendors optimize parameters until historical win rates hit extremes, but those settings fail instantly in live market conditions due to spread, slippage, and shifting volatility.
When evaluating any bot, your checklist is spot on: demand independent, verified live account tracking over months, check parameter sensitivity by seeing if small tweaks ruin the edge, and look for transparent logic rather than black-box hype.
This matters immensely when trading on prop firm accounts. Automated strategies often trigger strict daily loss limits, consistency rules, or news restrictions if they lack robust risk management controls. What is your go-to method for stress-testing a new strategy before letting it touch live capital? Drop your workflow below!
