Quantum Gold Master
- Uzmanlar
- Sürüm: 4.20
- Güncellendi: 18 Ekim 2026
- Etkinleştirmeler: 5
QuantumGoldMaster AI Train — Advanced Intelligence for Gold Trading
54 trading strategies. Multi-timeframe analysis. A dedicated AI training framework.
Gold moves fast. A trading decision needs more than a single indicator.
QuantumGoldMasterAiTrain combines a multi-strategy execution engine with layered technical analysis, strategy-specific filters, and an AI research workflow. Built for XAUUSD on M5, it evaluates trading opportunities through trend, momentum, volatility, price structure, and market participation.
From historical signal analysis to compatible ONNX model evaluation, the system provides a structured foundation for researching, configuring, and executing your Gold trading approach.
Built for Gold. Designed for control. Developed through continuous research.
| Specification | Details |
|---|---|
| Instrument | XAUUSD, including compatible broker suffixes |
| Recommended timeframe | M5 |
| Architecture | Multi-strategy EA with AI training and ONNX integration support |
| Strategy selection | 54 individually configurable BUY/SELL strategies |
| Trading approach | Stop Loss and Take Profit — no grid, no martingale, no DCA |
| Position sizing | Equity-based Risk % or fixed starting lot |
| Position management | Defined SL/TP with trailing-stop management |
| Suggested starting deposit | 500 USD, subject to broker specifications, leverage, and settings |
A Layered Technical Trading Engine
QuantumGoldMasterAiTrain brings together multiple analytical techniques to evaluate each opportunity within its market context:
- Multi-timeframe MACD: momentum direction, transitions, and confirmation across timeframes.
- Moving averages: trend alignment and price positioning.
- TMA bands: dynamic price boundaries and directional context.
- RSI: momentum conditions and additional setup confirmation.
- ATR and range analysis: volatility context and strategy-specific filtering.
- Candle structure: directional pressure, candle proportions, and recent price behavior.
- Support, resistance, and recent highs/lows: reference levels for evaluating price location.
- Breakout and consolidation analysis, FVG/ICT: trading-range formation and price expansion.
- Relative volume features: participation context for AI research and signal evaluation.
- News and session filters: configurable trading restrictions around selected news events and lower-volume periods.
Each strategy uses its own combination of conditions. This supports focused refinement of individual setups instead of applying one identical entry rule across the entire engine.
AI Training Beyond a Simple Indicator Signal
The AI framework connects pre-entry market conditions, strategy identity, and subsequent trade outcomes, creating structured data for external training and analysis.
Its research workflow supports:
- Strategy-level datasets for separate BUY/SELL investigation.
- Multi-timeframe feature collection covering momentum, volatility, candle structure, and relative volume.
- Historical signal evaluation to investigate rejected entries and retained opportunities.
- ONNX integration for compatible externally trained models.
- Feature-contract checks to help maintain consistency between training inputs and EA evaluation.
Four operating modes provide control over the workflow:
| AI mode | Function |
|---|---|
| OFF | Run the strategy engine without AI evaluation |
| COLLECT | Record signals, features, and outcomes for external training |
| SHADOW | Evaluate a compatible model without using its decisions to filter entries |
| FILTER | Allow a compatible model to accept or reject candidate entries |
AI defaults to OFF. SHADOW and FILTER require compatible external model files and configuration. Training takes place outside the EA; the EA does not continuously retrain itself on the chart.
Historical Research, Strategy by Strategy
QuantumGoldMasterAiTrain incorporates strategy-specific refinements developed through historical backtest analysis.
The research approach focuses on evaluating individual strategies, investigating losing setups, comparing technical entry conditions, and prioritizing preservation of historical winning signals when refining filters.
All 54 BUY/SELL strategy controls are available in the inputs. Run the complete engine, select a smaller combination, or isolate individual strategies for focused testing and training-data collection.
- true enables new entries from the selected strategy.
- false disables new entries from that strategy.
- Existing positions remain subject to position management.
Historical backtest findings describe past behavior and do not establish future results.
Equity-Based Risk Sizing
Choose the position-sizing method that suits your configuration.
Risk per Trade — Default Mode
The EA calculates volume using:
- Current account equity.
- Your selected Risk %.
- The distance between entry and Stop Loss.
- The broker’s account-currency profit calculation and volume specifications.
The default risk setting is 5% of equity per trade.
Minimum-lot exception: when the calculated volume is below the broker’s minimum, the EA uses the minimum lot. Planned risk can therefore exceed the selected percentage. The EA records this exception in the Journal and still checks available margin before sending an order.
The selected percentage is a sizing target, not a guaranteed maximum loss. Execution differences, slippage, and trading costs can affect the final outcome.
Fixed Starting Lot
Set your preferred LOT_SIZE .
The original SL-distance adjustment remains active: when the Stop Loss is more than 8.0 price units from entry, volume is reduced proportionally, subject to broker volume limits.
Defined Trade Management
QuantumGoldMasterAiTrain uses defined Stop Loss and Take Profit levels, with configurable trailing management.
- Continuous trailing uses the selected trailing distance.
- Original step-based management adjusts the Stop Loss as price reaches predefined movement levels.
- News avoidance provides configurable windows before and after selected events.
- Session controls allow you to configure trading during designated lower-volume periods.
No grid. No martingale. No DCA.
Main Parameters
| Parameter | Description |
|---|---|
| LotSizingMode | Select equity-based Risk % or fixed starting lot |
| RiskPercent | Target percentage of equity at the planned SL; default 5.0 |
| LOT_SIZE | Starting volume in fixed-lot mode; default 0.1 |
| EnableBUY…Filter | Enable or disable new entries for each BUY strategy |
| EnableSELL…Filter | Enable or disable new entries for each SELL strategy |
| EnableTrailingSl | Select continuous trailing or original step-based SL management |
| TrailingSlRange | Distance used by continuous trailing |
| TradeOnLowVolumeTime | Allow trading during designated lower-volume periods |
| NewsAvoidanceMinutes | Avoidance window before selected news; default 30 minutes |
| NewsAvoidanceMinutesAfter | Avoidance window after selected news; default 4 minutes |
| LocalTimezoneOffset | Local-time offset used by relevant time calculations |
| TmaTF | Timeframe used for TMA calculations |
| AIMode | Select OFF, COLLECT, SHADOW, or FILTER |
| AIRunId | Identify a data-collection or evaluation run |
| AIModelPrefix | File-location prefix for compatible AI models |
| AIAllowLive | Allow active AI modes outside the Strategy Tester |
Before You Start
Stop Loss execution is part of the trading design. Periods without entries can also be normal when the required strategy conditions are not satisfied.
Test your intended configuration on your broker’s XAUUSD, M5 data. Review spread, commission, leverage, minimum lot, and the minimum-lot risk exception before using a live account. The suggested deposit is a setup reference, not a guarantee of suitability for every broker or risk configuration.
We continue to refine QuantumGoldMasterAiTrain through structured research, strategy-level analysis, and ongoing updates.
IMPORTANT: After purchase, please send me a private message to receive the installation manual and setup instructions.

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