Open Source Code
View the complete implementation code on GitHub. Provides Binance API integration code and automated trading system code.
Section 2: Advanced Investment Strategy Design
Practical investment strategy design and implementation methodologies
Overview
Section 2 covers how to transform time series analysis theory into practical investment strategies. From dynamic time series simulation to cryptocurrency trading strategies and automated trading systems using Binance API, we implement strategies applicable to real trading.
Main Chapters
Chapter 1: Dynamic Time Series Simulations
- Dynamic time series simulation techniques
- Real-time data processing and forecasting
- Simulation result analysis and optimization
Chapter 2: Applying Strategies to Bitcoin Trading
- Bitcoin price prediction models
- Reflecting cryptocurrency market characteristics
- Implementing actual trading strategies
Chapter 3: AI Trading Using Binance
- Binance API integration
- Building automated trading systems
- Real-time order execution and monitoring
Key Concepts
Dynamic Simulation
A simulation technique that dynamically adjusts according to market conditions rather than using fixed parameters. This allows for developing strategies that adapt to changing market environments.
Risk Management
Systematically manages trading risk through position sizing, stop-loss, and take-profit strategies.
Automated Trading
Builds automated order execution systems using APIs to consistently execute strategies without human emotional intervention.
Learning Resources
Udemy Course
Learn the theoretical background and detailed implementation process step by step. Covers practical examples from API integration to building automated trading systems.