Comments for https://ctrader.com/products/3578

da

The core idea behind the bot is solid: combining momentum (TRIX) with a higher timeframe trend filter and enforcing strict risk discipline through single-position trading and stop-after-loss logic.
However, the current implementation shows a critical issue: almost every trade results in a loss, and due to the stop-after-loss rule, the bot effectively limits itself to one losing trade per day. This significantly reduces trade frequency and makes recovery statistically impossible.
Additionally, optimization produces unrealistic parameter values (extreme SL/TP), which suggests instability in the parameter space.
It would be important to:
review entry conditions (they may be too sensitive or mistimed)
reassess the stop-after-loss mechanism (consider allowing limited recovery attempts)
validate optimization boundaries to prevent invalid configurations
The framework is strong, but the strategy currently lacks a positive edge.

In what situations would you intervene manually?