Quantum Gold Master
- Experts
- Versione: 5.20
- Aggiornato: 1 novembre 2026
- Attivazioni: 5
QuantumGoldMaster AI Train — AI-Powered Gold Trading for MetaTrader 5
QuantumGoldMaster AI Train is an Expert Advisor built specifically for XAUUSD on M5. It combines 56 individually selectable strategies, multi-timeframe market analysis, and 9 embedded ONNX models in a single EX5 file. AI filtering is enabled by default, so the trained models can evaluate eligible setups from the first launch.
Gold can move sharply and still give a poor entry. A breakout backed by rising volume and aligned momentum has a different profile from a move of the same size that closes back inside its range. QuantumGoldMaster examines those differences before placing an order. It reads the M5 setup in the context of M15, H1, and H4, then applies the technical rules and trained filters relevant to that setup.
The Master edition puts that process in your hands. Run the full strategy engine, choose your own combination, or isolate a setup and replay the same market period with and without active AI filtering. You can see exactly which entries changed and what those decisions meant for the complete trading history.
AI trained on gold-market history
Development and backtest research span gold-market data from 2024 through 2026. The training workflow connects a snapshot of conditions before entry with the eventual outcome of the trade. A filter is evaluated from both sides: how many losing setups it could have avoided, and how many historical winners it would have removed.
The nine ONNX models serve different purposes. Seven evaluate selected technical setups using individually researched thresholds. Two specialize in momentum, with separate models for established signals and additional entry opportunities. This gives different setups their own entry criteria while preserving the broader technical engine.
The EA checks model compatibility and reference predictions before use. During historical replay, each model becomes eligible according to its activation date. On the chart, inference runs locally on CPU using the trained models embedded in the release.
What shapes an entry decision
| Market context | What QuantumGoldMaster evaluates |
|---|---|
| Trend and momentum | Multi-timeframe MACD, moving-average slopes, and momentum features including ADX and WaveTrend. |
| Price structure | Support and resistance, recent highs and lows, TMA bands, and price behavior around breakouts and consolidation. |
| Candle behavior | Body size, wick proportions, range, and closing location to assess directional pressure and rejection. |
| Volatility and volume | ATR-normalized movement and relative volume to put the size and participation of a move in context. |
The entry checks also account for overlapping signals. If a short setup is rejected and a closely matching momentum entry appears on the same tick, the EA can compare their entry, Stop Loss, and Take Profit levels before allowing the trade.
Master controls and AI modes
All 56 BUY and SELL switches are visible in the Master edition. Enable the branches you want to trade or study. Switching one off disables its new entries while existing positions continue under their management rules.
| AI mode | How it works |
|---|---|
| FILTER — default | Applies approved model thresholds and additional entry checks before qualifying an order. |
| SHADOW | Scores eligible setups while the technical engine retains the entry decision. Enable logging to review the scores. |
| COLLECT | Supports structured collection of signal, execution, and trade records for offline research. |
| OFF | Runs the technical engine with its built-in filters. |
To examine the effect of AI, replay identical dates in SHADOW and FILTER with the same broker data and sizing. Compare the trades accepted, the losses avoided, the winners retained or missed, and the change in drawdown. Research logging is optional and off by default. The AI filter operates with logging off.
Position sizing and trade management
Equity-based risk sizing is the default. The EA calculates volume from current equity, the selected risk percentage, the planned SL distance, and the broker’s contract specifications. The default target is 5% per trade. If the calculated size falls below the broker’s minimum lot, the EA can use that minimum, so planned risk may exceed the selected percentage.
Base-lot sizing starts from your chosen LOT_SIZE , with a default of 0.1 lot. When the entry-to-SL distance exceeds 8 gold-price units, the EA reduces volume according to its distance-based formula.
The engine manages one EA position per symbol at a time, with defined SL and TP levels, configurable trailing, news-avoidance windows, and low-volume session controls. It uses no grid, martingale, or DCA.
Getting started
Attach QuantumGoldMaster AI Train to your broker’s XAUUSD M5 chart, including compatible symbols such as XAUUSDm. Select Inputs → Reset, review your position-sizing mode, and choose the strategies you want to run.
One EX5 file contains the complete trading engine and all nine trained models. No external ONNX files, Python installation, GPU, or preset is required.
For the installation manual and setup assistance after purchase, contact me through MQL5 private messaging.
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