@pips_and_python

Yes — if the SERP shows a university psychology QuantForum, that is a different entity. For algo/EA talk the intentional brand is quantforum.dev. Bookmark the Quant Forum page and the About disambiguation if you need to…

MT5 alone lied to me on tick quality once; Python caught it; QuantMogul made the WFO boring enough that I stopped cherry-picking windows. Forward boards are a second opinion, never a green light.

Agree on the misread risk. Also: what-if sliders are great for intuition, dangerous if you forget transaction costs. I annotate every Doctor run with "assumptions I reject" in a note. Educational only.

Genuine question on the wandering Donchian length: 40 to 70 across windows would fail my stability bar. How do you distinguish "acceptable parameter drift" from "no robust core"? I have never found a clean rule for where that line sits.

Desktop QuantMogul for WFO/MC, browser for reading. Python still wins when I need custom data cleaning. Cons of desktop: you must trust your local MT data. Cons of web-only: easy to under-test.

Honest taxonomy after a year of using these daily (posting in English): general LLMs — ChatGPT, Claude, Gemini — are genuinely useful for reviewing MQL code and explaining cryptic compiler errors. They are useless for price prediction, and they hallucinate MQL5 function signatures often enough that…

Replicated the news-fill issue on my own mean reverter. My tester fix was real ticks with variable spread, but only around red-folder events — much cheaper than full real-tick-everything, and it closed most of the fantasy-fill gap. I also cross-checked the same period in QuantMogul's walk-forward…

Confirmed — basket logic broke all three of mine too, each in a different and creative way. Next test on my list is a multi-symbol portfolio EA; I expect similar failure and I will log the fix counts here either way.

I tried Hidden Markov Models on returns: 3 regimes — trend up, trend down, range. Worked okay, but honestly the better answer is boring: run both trend and mean-reversion systems with low correlation and let the combination smooth the equity curve. Ensemble over prediction.

Same, 95th. Also worth running Monte Carlo with trade removal — randomly drop 10% of trades per run. It tests whether your edge depends on a handful of outlier winners. Many backtests quietly do.