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Built for Real Trading, Not Hype

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In an industry full of scams, we focus on transparency and real results

Real Account Results

All performance data comes from real trading accounts, not demo simulations

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No martingale, no grid — only proven risk management rules

Falsification-First Research

We publish what failed — 108 SessionSniper variants died so one honest rule could ship

Honest Pricing

Entry prices are the live marketplace prices; full editions exist only where labeled

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Full performance history available through our monitoring system

No Hidden Risks

Clear documentation of strategy logic and expected drawdowns

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From the community

Curated by William Harris from real reader questions

Long-tail questions readers actually ask about this category, with editorial answers. Different from the canonical FAQ above — these target queries we've seen in Search Console, chat tickets, and editorial email.

  1. Q1

    How can I tell if an "AI EA" actually uses machine learning?

    via GSC long-tail

    Three signals matter. (1) Does the vendor document the model type (LightGBM, LSTM, random forest)? Real ML vendors publish this. (2) Is there a documented training set + retraining cadence? Models need periodic refits as market regimes shift. (3) Does the EA expose feature importances or model confidence in the trade log? Real ML EAs show this; marketing-only "AI" EAs hide the internals because there aren't any. If the vendor can't answer these, treat the "AI" label as marketing.

  2. Q2

    Are AI EAs better than rule-based EAs for forex?

    via chat widget

    Not categorically. AI EAs win when the edge depends on non-linear feature interactions (regime detection, multi-timeframe context blending). Rule-based EAs win when the edge is simple and well-understood (carry trade, session breakout). The premium for "AI" in marketing exceeds the average performance premium in practice — pick by edge clarity, not by ML hype. Our 2026 AI ranking shows the top AI EAs producing 5-9% monthly with 18-28% drawdown, similar to the top rule-based scalpers.

Spotted a question we missed? Email it to the editorial desk — we curate this block manually as reader questions come in.