QuantFlow 2.0 - Code the Markets is a 60+ hour live coding mentorship program designed for traders and investors eager to master algorithmic trading using Python. This flagship course provides a complete roadmap for developing, backtesting, and automating trading strategies using advanced tools like VectorBT, OpenAlgo, and DuckDB. With AI tools such as ChatGPT, Claude AI, and DeepSeek R1, participants will learn to create intelligent trading agents and strategies powered by machine learning and data science.

Course Overview:

Module 1: Python Fundamentals for Traders
Learn to set up a coding environment using VS Code/WindSurf and virtual environments. Master core Python concepts like variables, loops, and functions while leveraging Jupyter Notebook for data analysis. Build foundational tools like position size calculators.

Module 2: Data Manipulation with Numpy and Pandas
Gain expertise in Numpy for numerical operations and Pandas for handling, cleaning, and transforming market data. Work with time series data to derive actionable insights, including preparing historical price data for analysis.

Module 3: Technical Indicators and Strategy Building
Use libraries like TaLib and Pandas_ta for calculating technical indicators. Build custom indicators, visualize data with Plotly and Seaborn, and develop advanced strategies based on these indicators.

Module 4: Advanced Backtesting with VectorBT
Explore VectorBT for scalable backtesting and optimize strategy parameters for profitability. Learn Walk Forward Testing to ensure robustness and apply real-world examples of backtested strategies.

Module 5: Trade Automation with OpenAlgo
Integrate OpenAlgo for live trading automation. Write scripts for executing single-leg and multi-leg options strategies while managing trading flows effectively.

Module 6: Machine Learning in Trading
Understand ML concepts and preprocess trading data for predictive modeling. Build models like linear regression and decision trees while exploring deep learning for AI-based trading agents using tools like ChatGPT.

Module 7: Intraday and Options Strategies
Design profitable intraday and delta-neutral options strategies. Learn high-frequency execution and automation workflows to enhance trading efficiency.

Module 8: Position and Risk Management
Master position sizing techniques, implement stop-loss mechanisms, and optimize capital allocation with risk-reward ratio analysis.

Module 9: Historical and Real-Time Data Handling
Fetch and process historical data via APIs and utilize DuckDB for efficient data storage. Integrate real-time market data for creating scanners and streaming quotes.

Module 10: Trading Data Visualization
Create interactive dashboards with Plotly and Seaborn. Analyze live trade performance and strategy outcomes using advanced visualizations.

Module 11: Screener and Screener-Based Automation
Develop stock screeners and automate trades based on screener results. Set up real-time alerts to stay ahead of market opportunities.

Module 12: Dashboards and Alerts
Build custom trading dashboards, integrate real-time alerts, and monitor active strategies with ease.

Program Features:

• Live coding mentorship over 60+ hours.
• Tools like VectorBT, OpenAlgo, and DuckDB.
• Hands-on projects with AI tools (ChatGPT, Claude AI, DeepSeek R1).
• Practical learning with real-world trading examples.
  
  Support, contact: +91 9535133445
  Support Timings: 9 a.m. - 6 p.m. IST