Simulator Module (P3) — Training Protocol
The Simulator is your training ground. Practice the Alpha Draconis methodology in risk-free conditions with full visual feedback and performance analytics.
Purpose
The Simulator allows you to:
- Replay historical price action and practice MAP/EVENT/TRIGGER identification
- Visualize trade outcomes without risking capital
- Benchmark decision-making against the Algorithm's signals
- Build pattern recognition through structured repetition
💡 Learning Accelerator
Professional operators use the Simulator to train on 100+ historical scenarios before deploying Executor mode. This is not optional practice — it's mandatory calibration.
Key Features
| Feature | Description | |---------|-------------| | Visual Replay | Step through historical price action bar-by-bar | | Signal Overlay | See where the Algorithm detected MAP/EVENT/TRIGGER | | Performance Scoring | Grade your entries against optimal execution | | Session Recording | Save and review training sessions | | Multi-Timeframe | Practice across H1, H4, and D1 timeframes |
Installation
The Simulator is included in your Alpha Draconis license (P3 tier and above):
- Copy
Alpha_Draconis_Simulator.ex5toMQL5/Experts/ - Attach to a chart in Strategy Tester mode
- Configure the evaluation period and instrument
- Begin training
Training Protocol
Phase 1: Observation (Week 1-2)
Run the Simulator in passive mode. Watch the Algorithm identify zones, events, and triggers. Learn the visual language.
Phase 2: Prediction (Week 3-4)
Pause at key moments. Mark your own levels and entries before the Algorithm reveals its analysis. Compare and score.
Phase 3: Execution (Week 5+)
Make real-time decisions in replay mode. The Simulator grades your entry timing, invalidation placement, and position sizing against the Algorithm's benchmark.
ℹ️ Graduation
When your Simulator score consistently exceeds 70% alignment with the Algorithm, you are ready for Explorer mode on live markets.
Next Steps
- 📖 KeyLevel Module — Visual structure identification
- 📖 Arsenal Core — Deploy the full Algorithm
- 📖 Methodology — MAP/EVENT/TRIGGER explained