Detailed Table of Contents - META_quant-FULL

📚 PART 1: Introduction to META_quant

• 🌟 1.1. Presentation of META_quant
• 🧩 1.2. Origins and concept of META_quant
• 🎯 1.3. Objectives of the tool
• 🔍 1.4. Overview of main features

🧠 PART 2: Theoretical Foundations

• 📈 2.1. The importance of orderflow in trading
• 💧 2.2. Understanding liquidity and volumes
• 🏦 2.3. The role of market makers
• ⚡ 2.4. Introduction to High Frequency Trading (HFT)

⚙️ PART 3: Installation and Configuration

• 🖥️ 3.1. Technical prerequisites
• 🐍 3.1.1. Installation of Python 3.8.6
• 📊 3.1.2. Configuration of MetaTrader 5
• 🔧 3.2. Installation of META_quant
• 🌉 3.3. Configuration of the bridge for futures
• ▶️ 3.3.1. Using the "START" button
• 📦 3.3.2. Installation of dependencies
• 🌐 3.4. Connection to different data streams
• 🔗 3.4.1. Connection to Binance for cryptocurrencies
• 🔌 3.4.2. Connection to futures via MetaTrader 5

🖥️ PART 4: META_quant User Interface

• 🎨 4.1. Presentation of the graphical interface
• 🔎 4.2. Selection of streams and symbols
• 🕶️ 4.3. Navigation in the 3D/4D environment
• 📷 4.3.1. Camera modes (front, interactive)
• 🔄 4.3.2. Zoom and movement
• 🗺️ 4.4. Display of the price map (2D, 2.5D, 3D)
• 🔧 4.5. Display options
• 📊 4.5.1. Cumulative depth of the order book
• ⚪ 4.5.2. "Fixed" mode for sphere size

🔑 PART 5: Key Features of META_quant

• 🔭 5.1. Visualization of the order book in 3D/4D
• 📊 5.2. Analysis of orderflow and TAPE
• 🧭 5.3. Market maker compass
• 💵 5.4. Priceline and its interpretation
• ⏱️ 5.5. Real-time HFT and market making statistics
• 🎨 5.6. Display customization
• 🔧 5.6.1. Adjustment of order book depth
• 🚀 5.6.2. Refresh speed
• ⚪ 5.6.3. Sphere size

📈 PART 6: Market Analysis with META_quant

• 📊 6.1. Interpretation of order book structures
• 🛡️ 6.2. Identification of support and resistance levels
• 📉 6.3. Analysis of price movements and volatility
• 🕵️‍♂️ 6.4. Detection of market anomalies and manipulations
• ⚡ 6.5. Use of HFT signals

📊 PART 7: Trading Strategies with META_quant

• ⚔️ 7.1. Orderflow-based scalping
• 💧 7.2. Liquidity trading
• ⚡ 7.3. Exploitation of HFT signals
• 🤔 7.4. Strategies based on market maker behavior

🤖 PART 8: Automation and Algorithmic Trading

• ⚙️ 8.1. Presentation of automation features
• 📈 8.2. Configuration of HFT signals for automated trading
• 🌐 8.3. Integration with other platforms (NinjaTrader, etc.)

📚 PART 9: Case Studies and Practical Examples

• 🪙 9.1. Analysis of Bitcoin and Ethereum
• 📈 9.2. Trading on the Nasdaq 100
• ⏳ 9.3. Example of a futures trading session

⚙️ PART 10: Optimization and Customization

• 🎯 10.1. Adjustment of parameters according to strategy
• 📉 10.2. Data export and analysis
• 🔍 10.3. Creation of custom filters

🤖 PART 11: Automation and Management of HFT Signals

• 📈 11.1. Introduction to trading system automation
• 🔎 11.2. Use of HFT signals on MT5
• ⚙️ 11.3. Configuration of HFT alerts and automated orders
• 📉 11.4. Position management and stop loss
• 📈 11.5. Analysis of movements on the Nasdaq 100

⚖️ PART 12: Advanced Market Analysis and Risk Management

• 📈 12.1. Analysis of movements on the Nasdaq 100
• 🔍 12.2. Identification of bearish traps and turning points
• 📉 12.3. Position management with CFDs
• 🏆 12.4. Monitoring of key levels and profit taking
• 🚨 12.5. Importance of risk management in periods of volatility

🎓 PARTIE 13 : Conclusion et perspectives

• 📌 13.1. Récapitulatif des points clés
• 🚀 13.2. Développements futurs de META_quant
• 🛠️ 13.3. Ressources supplémentaires et support

Pour plus d'informations, visitez metaquantuniverse.com