Become a Quant: Algorithmic Trading with Python and AI

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

• Learn from a Trusted Quant Developer — Get expert guidance from a Top-Rated Fiverr Pro Quant Developer trusted by professionals from Citi, Credit Suisse, and top hedge funds

• Save Time with Insider Insights — Avoid rookie mistakes and accelerate your progress with tips from a Certified QuantConnect Integration Partner

• Build Smarter and Faster 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 additional cutting-edge features for algorithmic trading

What you'll learn:

• Master Python Essentials — Skip the fluff; learn only the syntax and libraries needed to build trading bots

• Code Faster with AI — Leverage an AI copilot to add advanced features in minutes

• 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 algorithmic trading

• 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!