Language
English
Lecture Mode
Recorded Lectures
Total Lessons
69
Modules
35
Flagship program
Mastering Algo Trading Using Python
Learn how to build a full-fledged, multi-strategy Algo Trading platform using Python. From strategy design to automation, deployment, and analytics — 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
Dive into the world of algorithmic trading with this comprehensive, hands-on course designed to take you from zero to live deployment. Whether you’re a trader looking to automate your strategies or a developer exploring financial markets, this course equips you with everything you need to build, run, and scale your own robust, multi-strategy, multi-broker algo trading platform using Python.
Who this Course is for
Retail or professional traders who want to automate their trading strategies
Python developers keen to explore algorithmic trading and build actual products
Finance or Quant enthusiasts looking to deploy live systems with risk control and analytics
Self-taught coders or algo traders seeking a practical, end-to-end implementation guide
Anyone working toward Financial Independence (FIRE) who wants scalable passive income via trading automation
Pre-Requisites
Foundational / Intermediate level understanding of Python fundamentals—variables, loops, functions, classes, and basic file handling.
Some prior experience with data manipulation using libraries like Pandas and Numpy will be helpful
A general awareness of how markets, orders, instruments (like stocks, options), and trading strategies work is expected
Most importantly, a willingness to get your hands dirty, experiment, debug, and build something from the ground up
What You'll Learn
How to set up a scalable and modular Algo Trading infrastructure
Configure multiple users, brokers, strategies, and environments with ease
Integrate and backtest strategies using a plug-and-play strategy interface
Automate trades with error handling, risk management, and fail-safes like kill switches
Build your own interactive Streamlit dashboard for analytics, trade logs, and live monitoring
Deploy your system on a cloud server for round-the-clock operation
Tech Stack & Tools Covered
Python 3.11+, Pandas, NumPy, Plotly, Streamlit
Telegram Bots for real-time alerts
Broker APIs (Zerodha)
Cron jobs, Linux (Ubuntu) for scheduling and automation
Modular codebase with classes and managers for extensibility
Outcomes you can expect
Run your own algorithmic trading system in production
Confidently add, test, and scale strategies
Build a portfolio of algorithmic strategies with risk-managed execution
Become proficient in both trading systems and Python Programming
Join a like-minded community of algo trading enthusiasts
Additional Highlights
Python-driven strategy design and research workflow
Backtesting discipline, metrics interpretation, and false-signal avoidance
Risk controls, execution thinking, and live-system readiness
Structured lessons, downloadable notes, and gated protected access
Exclusive Bonus Items
Get the Mastering Strategy Backtesting using AI course for free (worth ₹3500)
Certification of Achievement – Showcase your verified skills with a certificate that adds real value to your career profile.
Exclusive Communities & Resources – Access private groups to ask/clarify doubts, strategy backtesting circles, and shared repositories packed with strategies, results, and rich insights, exclusive only to course members
Alpha Circle Access (Invite-Only) – A handpicked elite group working on high-value strategies and market opportunities.
Future Perspectives – Continuous updates, new strategies, broker integrations, bug fixes, and upgrades — ensuring you keep gaining value long after completing the course.