Gold Buy Sell system Deep Q Network Powered

DQN Gold XAUUSD is a neural network trading indicator for MetaTrader 5 designed to analyze Gold (XAUUSD) market conditions and display BUY and SELL signals directly on the chart.

The indicator evaluates market behaviour using a Deep Q-Network (DQN) reinforcement learning model trained on historical price data.
The system analyzes the current market structure and automatically selects the most appropriate strategy according to detected market conditions.

Model Logic

The neural network model was trained using six strategy profiles representing different types of market behaviour:

  • Momentum strategy
  • Trend strategy
  • Multi-RSI strategy
  • Breakout strategy
  • Mean-reversion strategy
  • No-signal state when market conditions are not suitable

The indicator automatically determines which strategy best matches the current market environment.

Indicator Workflow

Feature extraction
Market data is processed using multiple technical indicators describing volatility, momentum and trend behaviour.

Market evaluation
The DQN model evaluates the current market structure using the extracted features.

Strategy selection
The algorithm compares the detected market conditions with the learned strategy profiles.

Signal generation
Based on the selected strategy, the indicator may display BUY or SELL signals directly on the chart.

Signals are confirmed only after candle close.

Technical Characteristics

  • Deep Q-Network neural network model
  • Six trained strategy profiles
  • Automatic strategy selection based on market conditions
  • Multiple technical indicators used as input features
  • BUY and SELL arrows displayed on the chart
  • Signals confirmed after candle close
  • No repaint behaviour after signal confirmation

Recommended Settings

Symbol: XAUUSD (Gold)
Timeframe: H1

The indicator was designed primarily for this symbol and timeframe.

Risk Notice

Trading financial markets involves risk. This indicator is intended as an analytical tool to support trading decisions.

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Institutional-Grade Analytics for MT5 The full analytical edge of a professional trading desk, built into your MT5 chart. Standard retail platforms lack the depth required for professional market analysis. The CGE Trading Suite bridges this gap, transforming MetaTrader 5 into a comprehensive workspace. By integrating 22 proprietary modules into a single, unified chart interface, the suite eliminates fragmented analysis. It provides definitive clarity across market structure, timing, momentum,
Power Candles MT5
Daniel Stein
4.58 (12)
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Power Candles - Self-Optimizing Strength Indicator Strength usually lives in a sub-window. The line runs below, the candle above, and your eye keeps connecting the two. Power Candles puts the strength into the candle itself, colored from dark red to dark green, so the chart reads at a glance and the sub-window stays closed. The indicator also finds its own settings for the symbol and timeframe in front of you. One click on [ Apply Best ] draws entry, Stop Loss and Take Profit at the exact prices
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DQN USDJPY is a neural network trading indicator for MetaTrader 5 designed to analyze USDJPY market conditions and display BUY and SELL signals directly on the chart. The indicator evaluates market behaviour using a Deep Q-Network (DQN) reinforcement learning model trained on historical price data. The system analyzes the current market structure and automatically selects the most appropriate strategy depending on detected market conditions. Model Logic The neural network model was trained using
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DQN Multi-Forex M15 is a neural network-based trading indicator for MetaTrader 5, designed to analyze market conditions across multiple major currency pairs and display BUY and SELL signals directly on the chart. The indicator uses a Deep Q-Network (DQN) model individually trained on each currency pair with historical data, to evaluate market behavior and automatically select the most suitable strategy. Supported Pairs EURUSD GBPUSD GBPJPY USDJPY Model Logic Each neural model was trained on s
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yassine reaver
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yassine reaver 2026.03.04 19:39 

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Ayoub Sabri
546
Reply from developer Ayoub Sabri 2026.03.04 19:45
Thank you for the feedback i m happy to hear that the indicateur is helping and that you appreciate the AI approach
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