Unknown. EALegit has not audited Lachesis. A listing is not a verdict that it is legit.

Has EALegit independently reviewed Lachesis?

Not yet. Listing is seller materials. The owner can submit source from For developers.

Does Lachesis use grid or martingale?

Seller materials do not claim grid or martingale. Not audited — we have not confirmed the code.

Can I trust the seller backtest?

No usable seller baseline is published and we have no lab replay. Treat the seller backtest as untested marketing.

Unaudited seller listing — lab verdict pending

Untrusted tick model

This listing is built from seller materials. Lab replay not yet executed. Lab, audit, live tracking and verified reviews stay empty until we compile and run real-tick replay.

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Seller price $180

Curve replay

Backtest vs lab reality

Zero corroboration

Seller marketing curve (claimed)Lab replay not run

Execution engine locked

Real-tick replay has not run for this listing.

Claimed profit factor

— (marketing)

Real-tick PF

Pending

Seller price: $180

Submit source if you own this EA View on MQL5 ↗

Lachesis1.0

Developed byMuhammad Farooq Ahmed11 EAs on record

View on MQL5 ↗

Not testedTrend followingMean reversionBreakoutXAUUSD / EURUSD / GBPUSDH1 / M30 / M5MetaTrader 5

Seller claims

grid no · martingale no · SL no

EALegit summary — unaudited listing

Lachesis is a MetaTrader expert advisor for XAUUSD, EURUSD, GBPUSD, and major JPY pairs, running on the M5 timeframe with H1/M30 higher-timeframe trend filtering. It uses a multi-filter entry system combining candle-body/wick probability analysis, chart pattern detection (e.g., head & shoulders, triangles), and higher-timeframe trend alignment, with additional modules for liquidity sweeps, Wyckoff-style range breaks, and session-open behavior. Exits are managed by monitoring signal confluence and cutting trades early if conditions fade; the description does not specify stop loss, grid, or martingale mechanics. It is described as switching dynamically between trend-following, mean-reversion, and breakout/trap-based models.

Source audit

Source not audited. We have not seen this code.

Submit source if you own this EA