Quantum Gold Premium
- エキスパート
- バージョン: 5.20
- アップデート済み: 18 10月 2026
- アクティベーション: 5
QuantumGoldPremium AI Train — Built for Gold. Designed Around Market Context.
Gold demands more than a single indicator. Momentum, volatility, candle structure, and trading conditions can change quickly—and each deserves attention before an entry.
QuantumGoldPremiumAITrain brings these elements together in a dedicated XAUUSD trading engine. It combines 54 strategy branches, multi-timeframe technical analysis, strategy-specific filters, and an architecture prepared for structured AI training and ONNX model evaluation.
The focus is clear: evaluate the setup, qualify the entry, and manage the position through defined execution rules.
| Specification | Details |
|---|---|
| Platform | MetaTrader 5 |
| Symbol | XAUUSD, including compatible broker suffixes such as XAUUSDm |
| Designed timeframe | M5 |
| Architecture | Multi-strategy technical engine with AI training and ONNX integration support |
| Position management | One EA-managed position per symbol at a time |
| Position sizing | Base lot with SL-distance adjustment, or percentage-of-Equity risk |
| Premium configuration | All strategy branches enabled; individual strategy switches hidden |
Multi-Timeframe Analysis with Strategy-Specific Decisions
QuantumGoldPremiumAITrain evaluates market context across M5, M15, H1, and H4, combining several complementary sources of information:
- MACD momentum and directional context across multiple timeframes.
- Moving averages and their slopes to assess price positioning and trend structure.
- ATR-normalized measurements to express technical conditions relative to volatility.
- TMA and band relationships to evaluate price location within the strategy’s trading framework.
- Candle bodies, wicks, ranges, and closing locations to examine the structure behind a setup.
- Relative volume and recent price movement to provide additional context for entry qualification.
Each strategy follows its own conditions. Historical backtest data has been used to research and refine individual technical filters while retaining the underlying strategy framework.
AI Training Infrastructure with a Defined Evaluation Workflow
The AI architecture supports the collection of structured, pre-entry market features alongside execution and trade records. These datasets provide a foundation for external model training, analysis, and evaluation.
The workflow includes:
- Pre-entry feature snapshots captured before order submission.
- Volatility-normalized technical features for consistent measurement.
- Structured signal, execution, and deal exports for dataset preparation.
- Versioned feature contracts to check model compatibility.
- ONNX inference support for compatible models.
- Prediction parity checks to compare model outputs with reference values.
- Training-cutoff checks before model-based evaluation.
The available AI modes separate the development stages:
| AI mode | Purpose |
|---|---|
| OFF | Runs the technical strategy engine and its validated filters. |
| COLLECT | Records signal and trade data for external training and analysis. |
| SHADOW | Evaluates a compatible model without using its predictions to filter entries. |
| FILTER | Applies a compatible model’s prediction threshold to entry qualification. |
AI mode is OFF by default. the EA does not automatically retrain itself during live trading. SHADOW and FILTER modes require compatible model files.
Two Position-Sizing Modes—One Clear Choice
Choose the sizing method that matches your configuration:
Use Default LOT_SIZE
Uses your selected base lot. When the entry-to-SL distance exceeds 8 gold-price units, the EA reduces volume according to its SL-distance formula. This mode no longer scales lot size according to account balance.
Use Risk per Trade
Calculates volume from:
Current Equity × RiskPercent ÷ estimated loss to the planned Stop Loss
The calculation uses the broker’s OrderCalcProfit function, rounds volume down to the permitted lot step, and respects maximum volume limits. If the minimum lot would exceed the selected budget, the entry is skipped.
The default RiskPercent value is 5.0, but it is used only when the percentage-risk mode is selected. Base-lot mode remains the default.
The risk budget describes the planned entry-to-SL price movement. Fees, slippage, and gaps can change the actual outcome.
Position Management and Trading Conditions
The EA includes initial Stop Loss placement, strategy-defined exit rules, two SL-adjustment styles, configurable low-volume trading hours, and news-avoidance settings.
A pause in trading does not necessarily indicate a malfunction. Entries depend on the strategy conditions, active filters, trading schedule, and available account margin.
Main Inputs
| Input | Function |
|---|---|
| LotSizingMode | Selects base-lot sizing or percentage-of-Equity risk. |
| LOT_SIZE | Base lot used in Default LOT_SIZE mode. |
| RiskPercent | Planned risk budget in percentage-risk mode. |
| EnableTrailingSl | Selects continuous trailing when true, or the original stepped SL rules when false. |
| TrailingSlRange | Price distance used by continuous trailing. |
| TradeOnLowVolumeTime | Allows or excludes the configured low-volume periods. |
| NewsAvoidanceMinutes | Avoidance interval before relevant calendar events. |
| NewsAvoidanceMinutesAfter | Avoidance interval after relevant calendar events. |
| LocalTimezoneOffset | Local time offset used by the scheduling logic. |
| TmaTF | Timeframe used by the TMA calculation. |
| AIMode | Selects OFF, COLLECT, SHADOW, or FILTER. |
| AIRunId | Identifies a data-collection run; blank enables automatic naming. |
| AIModelPrefix | Specifies the compatible model-file prefix. |
| AIAllowLive | Controls permission for active AI modes outside the Strategy Tester. |
Getting Started
Use XAUUSD on M5, reset the inputs to load the current defaults, and select your preferred position-sizing mode. Account requirements depend on your broker’s contract specifications, leverage, minimum lot, and chosen configuration.
For the installation manual and setup assistance, please contact me through MQL5 private messaging after purchase.
