Language
English
Lecture Mode
Recorded Lectures
Total Lessons
18
Modules
12
BackTesting
Master Trading Strategy Backtesting with AI & Python
Learn the art of Trading Strategy Backtesting, powered by Python and AI : From learning to properly structure strategy rules, prompting, executing, visualizing the strategy performance, optimizing backtest results and taking the strategy from good to great and implementing it in the real world — this hands-on course empowers you to trade smarter with real-world systems and tools
Instructor
FabTrader
Approach
Practical and structured
Course Overview
Programs Designed for Real-World Execution
Explore structured, hands-on programs built to help you move from understanding concepts to applying them with clarity, discipline, and confidence in real-world scenarios.
About this Course
Unlock the power of AI-assisted backtesting in this hands-on course designed for aspiring algo traders and Python enthusiasts. Instead of building a backtesting engine from scratch, you’ll learn to leverage a refined Super Prompt—tested across ChatGPT, Gemini, and Claude—to generate clean, modular Python code capable of backtesting a wide range of trading strategies.
We dive deep into practical strategy building, data handling, and visual performance analysis using a custom-built Streamlit dashboard. From simple setups like the Golden Cross to more advanced strategies like Early Circuit BTST, you’ll learn how to test ideas, validate hypotheses, and optimize results—just like professional quants do.
Whether you’re looking to automate your trades, enhance your strategy development workflow, or build a data-driven trading mindset, this course gives you the tools and structure to do it with clarity, confidence, and code.
Who this Course is for
Aspiring algorithmic traders looking to backtest strategies before going live
Python programmers interested in applying AI to financial markets
Traders who want to move beyond manual testing and Excel sheets
Tech-savvy investors aiming to build confidence in their trading strategies
Anyone pursuing Financial Independence / Early Retirement (F.I.R.E.) through data-driven wealth-building
What You'll Learn
How to use a Super AI Prompt to generate clean, modular Python backtest scripts
How to structure and define trading strategies for AI to understand
How to backtest real-world strategies like Golden Cross and Early Circuit BTST
How to build and visualize strategy performance using a custom Streamlit Dashboard
How to optimize and improve strategy performance with filters and conditions
How to evaluate results using professional metrics like Sharpe Ratio, Drawdown, Win Rate, and more
Outcomes you can expect
Backtest any trading strategy using AI with minimal coding
Gain hands-on experience with Python, financial data, and performance metrics
Create and refine strategies faster, saving time and effort
Make data-backed trading decisions with confidence
Build your own Strategy Analytics Dashboard for long-term use
Be equipped to launch or upgrade your algo trading journey
Additional Highlights
Based on real backtesting experience using ChatGPT, Gemini, Claude
Includes assignments to apply your learning
No need to build a backtest engine—just bring your strategy and let the AI do the rest
Taught by a financially independent trader who reached F.I.R.E. at age 45