Reinforcement Learning Scalper
Reinforcement Learning Scalper is a MT5 scalping expert advisor developed by Turing Forex Labs, verified via mql5 with +218.0% gain and 9.5% max drawdown over 448 tracked days.
Last reviewed · Scored with methodology v2.0
Tailored for rule-based scalping execution on MT5, Reinforcement Learning Scalper from creator Turing Forex Labs demonstrates an AI Trust Score of 88.1/100 (A). Empirical records across 448 days (~1.2 yrs) substantiate a cumulative gain of 218.0% against a peak drawdown ceiling of 9.5%.
How it trades
Optimized around M15 bars on EURUSD, USDJPY, order triggers leverage Dynamic position management tuned for EURUSD, USDJPY to exploit price imbalances. Fixed or equity-proportional sizing protects margin balance without multiplier-based lot expansion. Discrete single-shot executions govern each signal without consecutive grid accumulation. The system trades standard market sessions without relying on external economic calendar blackouts.
What the numbers say
By holding maximum drawdown at 9.5%, Reinforcement Learning Scalper outclasses 66% of catalog scalping programs in risk control. Generating a 2.42 profit factor, gross profits comfortably exceed trading expenses. Monitored across 448 days (~1.2 yrs) via Verified Live Real Account, telemetry reflects authentic market longevity.
Risks to check before using it
Sudden macroeconomic market jumps can strain account equity margins, particularly regarding Performance sensitive to rollover spread spikes and weekend gaps. Running extensive demo forward evaluations for a month protects capital from unexpected surprises.
Who it suits
Ideal for structured algorithmic operators seeking quantified scalping execution. Unsuitable for individuals demanding zero-variance profits without risk tolerance.
Turned a $1,000 deposit into $3,180 over 448 tracked days.
Worst peak-to-trough drop was $95 per $1,000 equity.
Generated $2.42 in gross profit for every $1.00 lost.
Average monthly compounding rate across 448 days.
At-a-Glance Specifications
20 Verified FieldsSystem metrics verified from live trade statements and database records. Missing fields are left unlisted rather than estimated.
| System Name | Reinforcement Learning Scalper |
|---|---|
| Developer / Author | Turing Forex Labs |
| Execution Platform | MT5 Robot |
| Algorithmic Strategy | SCALPING |
| Verification Source | MQL5 |
| Verified Total Gain | +218.0% |
| Monthly Growth Rate | +14.8%/mo |
| Maximum Drawdown | 9.5% |
| Profit Factor | 2.42 |
| Track Record Age | 448 monitored days |
| Live Broker Verification | Yes (Broker Connected) |
| Prop Firm Compatibility | Yes (Capped Drawdown) |
| Traded Instruments | EURUSD, USDJPY |
| AI Trust Score | 88.1/100 (Grade A) |
| License Model | $580 |
| Martingale Position Sizing | Disabled (Linear Risk) |
| Grid Position Scaling | Disabled |
| News Event Filter | Disabled |
| MQL5 Market ID | 194617 |
| Last Audit Update | 2026-11-06 |
Reinforcement Learning Scalper achieves an AI Trust Score of 88.1/100 (Grade A). A MT5 scalping system with a verified 218.0% gain and 9.5% max drawdown over 448 tracked days.
6 Grounded Analytical Pillars
Scoring Methodology →Formula
Live real account verified with external linkFormula
100 - (DD × 2.5)Formula
Calmar proxy (annualized gain ÷ max DD, capped at 6.0)Formula
448 / 730 days (full marks at 2 years)Formula
Normalized Profit Factor (PF 2.0 = 100, PF 1.0 = 0)Formula
Rating weighted by review count (capped at 50 reviews)✓ Cited Strengths (3)
- • Verified execution on MT5 terminal under real liquidity conditions. [source: pros[]]
- • Controlled risk management with 9.5% peak historical drawdown. [source: pros[]]
- • Dynamic position management tuned for EURUSD, USDJPY. [source: pros[]]
⚠ Cited Risks & Limits (2)
- • Requires low-latency VPS hosting with sub-10ms cross-connection. [source: cons[]]
- • Performance sensitive to rollover spread spikes and weekend gaps. [source: cons[]]
Trading Regime Suitability
| Deployment Scenario | Suitability | Audit Basis |
|---|---|---|
| Prop Firm Challenges | ✓ Suitable | Evaluated for prop terms (Max DD: 9.5%) |
| Long-Term Portfolio | ✓ Suitable | Standard execution model |
| News Event Trading | ✗ Unfiltered Volatility Risk | Based on news filter status |
| Swing vs Scalp Profile | ◐ Scalping Profile | Timeframe: Discretionary on EURUSD, USDJPY |
3 Rule-Based Risk Guardrails
Linear or fixed lot sizing protects equity from compounding tail risk.
Broker-connected live telemetry verified via MQL5.
Drawdown maintained within conservative equity risk limits.
How Reinforcement Learning Scalper Works
Strategy ArchitectureReinforcement Learning Scalper is a MT5 scalping expert advisor with 9.5% max drawdown over 448 days (~1.2 yrs). Analyzed by StriveAlgo research with verified risk and score metrics.
Standard 4-Step Verification & Deployment Protocol
Deploy MetaTrader (MT5) on a dedicated trading VPS close to your broker execution server for sub-5ms order latency.
Copy Reinforcement Learning Scalper file into the MQL Experts folder, restart MetaTrader, and allow automated live trading in options.
Attach to EURUSD and configure conservative risk sizing (0.01 lot per $1,000 balance).
Confirm the terminal Algo Trading button is active and monitor initial trades via forward demo testing before capital scaling.
Verified Pros & Known Constraints
Pass-Through Audit✓ Verified Strengths (4)
- • Verified execution on MT5 terminal under real liquidity conditions.
- • Controlled risk management with 9.5% peak historical drawdown.
- • Dynamic position management tuned for EURUSD, USDJPY.
- • Built-in automated trailing stop and loss envelope protection.
⚠ Risk Factors & Limitations (2)
- • Requires low-latency VPS hosting with sub-10ms cross-connection.
- • Performance sensitive to rollover spread spikes and weekend gaps.
Frequently Asked Questions
Rule-Based Q&AIs Reinforcement Learning Scalper safe for prop firm challenges? ▼
Yes. With a max drawdown of 9.5% and strict risk thresholds, it complies with standard prop firm daily and overall loss limits.
What is the maximum drawdown recorded for Reinforcement Learning Scalper? ▼
The verified maximum equity drawdown is 9.5% recorded across 448 days (~1.2 yrs) of live tracking.
Does Reinforcement Learning Scalper use martingale or grid strategies? ▼
No. Reinforcement Learning Scalper avoids both martingale multiplier sizing and grid averaging, using defined stop-losses for capital protection.
Which timeframe and pairs does Reinforcement Learning Scalper trade? ▼
It trades primarily on the M15 timeframe focusing on EURUSD, USDJPY.
Guides for Reinforcement Learning Scalper & SCALPING Trading
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