We’re releasing the first five lectures of our complete Python algorithmic trading course as a free preview on YouTube.
Welcome to Become a Quant: Algorithmic Trading with Python and AI!
Why this course:
Start Instantly, Even with Zero Coding Skills — Skip the steep learning curve and build trading bots from scratch—no prior programming experience needed
Everything You Need in One Place — Build trading bots for stocks, options, futures, forex, and crypto—no need to piece together multiple resources
Curated Learning from a Trusted Trading Bot Brand — Learn from a Top-Rated Fiverr Pro Agency trusted by clients worldwide for trading bot development, backed by hundreds of five-star reviews
Build Smarter with AI — Use AI as your coding co-pilot to develop powerful features with ease
Trade Smarter with Machine Learning — Forecast prices using real-world machine learning models like Random Forest and XGBoost—gain a data-driven edge
From Backtesting to Live Trading — Learn the required resources for live trading and how to export real-world trading signals
What you’ll build:
Stock Trading Bot Foundation — Build stock trading bots to master the core algorithmic trading framework—so you can expand to other asset classes
Advanced Asset-Class Trading Bots — Build complex trading bots for options, futures, forex, and crypto—so you can handle asset-specific mechanics across markets
Machine-Learning Modules — Train and deploy Random Forest and XGBoost models—so you generate more powerful, data-driven signals for your trading bot
Pro-Grade Extras — Build market scanners, perform financial-statement and sentiment analysis, and explore cutting-edge features for building trading bots
What you’ll learn:
Master Python Essentials — Skip the fluff; learn only the syntax and libraries needed to build trading bots
Code Smarter with AI — Build powerful features in minutes with an AI copilot
Deploy ML Forecasts — Engineer and train Random Forest and XGBoost models, then integrate predictions into your trading bot
Complete Data Management — Stream data feeds, design data structures, and tap into alternative data sources for building trading bots
Complete Trading Logic — Master portfolio management, risk management, and scheduled events for end-to-end trading automation
Backtest with Depth — Access decades of historical data and pro-level performance reports in QuantConnect
Options and Futures Logistics — Manage expiries, Greeks, and margin to control risk effectively
Craft an Indicator Playbook — Combine multiple indicators for robust entry and exit signals
Live-Trading Operations — Required resources, signal export methods, and performance considerations for real markets
What you’ll get:
Practice Actively — Quizzes and coding exercises lock concepts in place
Enjoy Lifetime Access — Buy once, learn forever!
Grab the Source — Download all slides and full example code files
Still thinking?
Watch Day 2’s lecture for free, see a successful backtest, and judge for yourself!
Enroll now to start building your very own trading bots with Python, AI, machine learning, and QuantConnect—today!