Project Structure

Trading History

View actual trading history generated through simulation. Provides performance metrics, charts, and detailed trading history.

Featured Content

Section 3

VECM-EGARCH Hybrid Model

A hybrid approach combining long-term equilibrium forecasting using cointegration relationships with asymmetric volatility modeling. Production-level implementation applicable to real trading.

Section 1

Financial Time Series Analysis Fundamentals

Theoretical background and Python implementation of ARIMA, GARCH, and VECM models. Covers key concepts including stationarity testing, cointegration analysis, and volatility forecasting.

Section 2

Advanced Investment Strategy Design

Learn how to build automated trading systems using dynamic simulation, Bitcoin trading strategies, and Binance API.

Trading History

Actual Trading Performance

View actual trading history and performance metrics generated through simulation. Provides total P&L, win rate, Sharpe ratio, maximum drawdown, and more.

GitHub

Open Source Code

View the complete algorithms and implementation code on GitHub. Open source and community contributions are welcome.

Udemy

Udemy Course

Learn the theoretical background and detailed implementation process step by step. A comprehensive course including practical examples and advanced techniques.