AI Scalping MT5 Review: EURUSD, Bitcoin and Results
AI Scalping EA MT5 trades EURUSD and BTCUSD with configurable entries, fixed stops and staged profit targets. Its EURUSD strategy includes an ONNX confidence filter, while separate Bitcoin controls handle pivot orders, trading days and volatility-based exits. An unusually configurable two-market EA with useful documentation of its separate EURUSD and Bitcoin controls. The main limitation is that its short public forward record was negative at the check.
View AI Scalping EA MT5 features and pricing
- Developer source link: AI Scalping MT5 on MQL5
- Live signal link: Public account 2382877
Source-based review checked 15 September 2026. We examined the developer listing, public guidance, release notes, linked accounts and available customer feedback. We have not independently run the EA or reproduced its backtests.
How the strategy works
The public input guide distinguishes the two strategies rather than describing one AI model trading everything. EURUSD supports pending or market entry and M1-close confirmation options, with an ONNX filter and configurable confidence threshold. Bitcoin has separate pivot-order controls and can derive stop, target and trailing distances from ATR when the relevant custom values are zero. The developer states that grid and martingale are not used.
- EURUSD and BTCUSD strategies with one-chart or separate-chart operation.
- ONNX confidence filtering for the EURUSD strategy, plus optional logging.
- Multiple profit targets, stop-loss controls and broker-time trading filters.
Configuration and execution
OneChartMode lets an EURUSD chart manage both markets; alternatively use the separate-chart configuration. Confirm the exact EURUSD and BTCUSD broker symbols and enable both intended strategies in the preset. Check broker server time, daylight-saving offsets, crypto trading hours and margin requirements. The guide’s drawdown fractions use decimal proportions: for example, 0.05 means 5%.
What to test carefully
Up to five EURUSD targets and three Bitcoin targets can split exits across positions. A high percentage of winning closes can therefore coexist with a losing total result if losing trades are much larger. ONNX inference means running a model inside MT5; it does not demonstrate that the EA retrains itself in live use. The guide specifically associates that filter with EURUSD, so applying the same AI claim to every Bitcoin trade would overstate the documentation.
Live signal analysis — 15 September 2026
The author’s seller page identifies the AI Scalping MT5 signal on VantageMarkets-Live19. At the check it showed −3.30% growth, a $6.60 loss on a $200 initial deposit and 31 trades across nine weeks. Profit factor was 0.88 despite an 80.64% win rate. Average winning trade was $2.03 versus a $9.56 average loss. Relative balance drawdown was 10.86%, while equity drawdown was 4.83%. This short public record was negative, so the developer’s attractive backtests should not be presented as confirmed current profitability.
The public signal was down 3.30% at the dated check. Its high win rate did not translate into a positive total return.
History and configuration changes
July release notes address Bitcoin day filters, broker rollover handling, stale pending orders on restart and invalid trailing-stop attempts. The public setup discussion also acknowledged and corrected an earlier preset that disabled EURUSD. Use the intended current preset and inspect both strategy switches. These are documented historical corrections, not evidence that every issue still affects the supplied latest version.
Original developer images
The six original gallery images document the developer’s backtesting and parameter/result presentations. They are simulated historical evidence and have not been reproduced here. Their role is to show what was tested, while the separate dated forward account shows what the monitored configuration actually achieved over its short sample.
MQL5 customer feedback
Six MQL5 reviews were visible. Several praised responsiveness, setup help and initial testing. The first review, by farazz08, explicitly said that performance feedback would follow later; another said longer-term use was still needed. These comments support an assessment of early customer experience, not a conclusion of established long-term profitability. The currently negative signal remains relevant even alongside positive reviews.
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Assessment
An unusually configurable two-market EA with useful documentation of its separate EURUSD and Bitcoin controls. The main limitation is that its short public forward record was negative at the check.
Past simulated and monitored results do not guarantee future performance. Compare the intended settings and broker conditions with the documented record, including losing periods and floating exposure.