@ea_architect

I treat PortfolioVerse / WorldBot.Club as idea and veto inputs only. Live risk still sits in my own logs + QuantMogul WFO before any farm sleeve on WOBR. Forums that punish criticism are useless.

Agentic on QuantMogul helped me write a mandate ("max 1% risk, no news window, kill sleeve on 2× ATR regime"). It did not replace the EA Farm execution layer. Failure mode: the rationale text sounded smart while the proposed rebalance…

Published one TaiYi object as a frozen regime table. Strangers understood the chart; they did not understand my position-sizing footnote until I rewrote it twice. Vs GitHub notebook: ObjectVerse is easier to open, worse for full code audit. I link both when the claim…

Fair challenge — my heuristic: re-run each window using the neighboring window's optimal parameters. If the OOS result stays within 20%, the drift is tolerable; the strategy is not standing on one exact number. This EA passed 7 of 8 of those swaps. I call it the parameter-neighbor test — not…

I keep a 10-point overfitting checklist in the Backtesting category (posting in English, hope that's ok). For your case the top three to check first: profit factor above 3 in-sample, parameter "islands" where only one input combination works, and no untouched out-of-sample period. PF 2.3 isn't…

For boilerplate, WOBR EA Generator is fastest. For custom risk math, hand-written MQL still wins. FXDreema sits in the middle until you need code escape hatches. My bug count on a shared ATR-trend brief: generator needed tick-vs-bar fixes; FXDreema needed a custom…

The every-tick-instead-of-new-bar wiring is the single most common generator bug I see, across every tool. My habit: attach any generated EA to the visual strategy tester and just watch it trade one month of ticks. Logic errors become obvious in about two minutes. For what it's worth, my…

Agree completely. 50ms vs 5ms changes nothing when your average trade lasts 3 days. Spend the savings on better data or a second demo account for forward tests — both pay better than shaved milliseconds.

Also: real ticks versus generated ticks matter more than the % label, and variable spread matters more than both. Variable spread alone has killed most M1 scalpers I've seen that looked brilliant on fixed spread.

The survivorship bias is the real killer for public data. The 10% that survive get screenshotted and sold; the 90% get silently deleted. Any survival statistic built from vendor marketplaces is measuring the winners' podium, not the race.