Parameter risk scanner
Flags inferred from seller inputs and claimed settings. Not a code audit.
- Martingale
- no
- Grid
- no
- Hard stop loss
- yes
Unaudited seller listing — lab verdict pending
Untrusted tick modelThis 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.
Curve replay
Execution engine locked
Real-tick replay has not run for this listing.
Claimed profit factor
— (marketing)
Real-tick PF
Pending
Seller price: $75
Submit source if you own this EAView on MQL5 ↗Seller claims
grid no · martingale no · SL yes
EALegit summary — unaudited listing
GOLD CatBoost Clusters Gen6 EA operates on the CatBoost algorithm using clustering methods. A set of features is fed into the CatBoost model, constructed based on price data and moving averages (MA). These include distances between the price and MAs across different periods, as well as between the MAs themselves, which help capture deviation and trend strength. The slope of moving averages is calculated to represent the speed of trend changes, and a compression metric—defined as the sum of distances—indicates whether the market is in a flat or trending state. Finally, binary features are added to describe the trend structure, such as sequences like MA1 > MA2 > MA3 and their reverse. Pairs: XAUUSD. Timeframes: H1.
Lab results
No lab results. The seller's backtest has not been reproduced.
Source audit
Source not audited. We have not seen this code.
Full audit reportVerified seal
Not tested yet — no seal.
Forensic deconstruction
Heuristic confidence: low (seller materials only)
Flags inferred from seller inputs and claimed settings. Not a code audit.
Independent lab file versus marketplace binary.
0 files
Closed binary / seller listing
Promotional claims are not lab results.
Seller backtest untrusted
Treat promotional curves as untested until we replay them.
GOLD CatBoost Clusters Gen6 EA operates on the CatBoost algorithm using clustering methods. A set of features is fed into the CatBoost model, constructed based on price data and moving averages (MA). These include distances between the price and MAs across different periods, as well as between the MAs themselves, which help capture deviation and trend strength. The slope of moving averages is calculated to represent the speed of trend changes, and a compression metric—defined as the sum of distances—indicates whether the market is in a flat or trending state. Finally, binary features are added to describe the trend structure, such as sequences like MA1 > MA2 > MA3 and their reverse. Pairs: XAUUSD. Timeframes: H1.
Screenshots
Seller-published images, stored as captured. Not EALegit test output.
Reviews
No reviews yet.
Not tested. Lab, audit, live tracking and verified reviews stay empty until we run this EA.
Independent inquiry
Unknown. EALegit has not audited GOLD CatBoost Clusters Gen6. A listing is not a verdict that it is legit.
Not yet. Listing is seller materials. The owner can submit source from For developers.
Seller materials do not claim grid or martingale. Not audited — we have not confirmed the code.
No usable seller baseline is published and we have no lab replay. Treat the seller backtest as untested marketing.
Not tested
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Independent verification
Roman Poshtar listed this EA. The owner can submit source if they want the lab to compile and replay it on real ticks.