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Algorithmic Trading: Backtest, Optimize & Automate in Python

Automate crypto trading with Python! Learn to use & manipulate open source code for powerful trading strategies. Master automation today.

4.5(2,677)
19,733students
9h 56m
Certificate
Mohsen Hassan
Mohsen HassanFinance & Programming Education

Course Content

Algorithmic Trading: Backtest, Optimize & Automate in Python is an all-levels Udemy course taught by Mohsen Hassan. It runs 9h 56m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 2,677 reviews, with 19,733 students enrolled. It is a paid course, last updated April 2022.

Unlock the power of automated cryptocurrency trading with our comprehensive course! This program guides you through every step of building and deploying profitable crypto trading bots.

Here's what you'll master:

  • Freqtrade Mastery: Learn to leverage freqtrade, a powerful and flexible open-source crypto trading bot. We'll cover everything you need to know to get started.
  • Simplified Setup with Virtual Machine: We provide a ready-to-use Virtual Machine pre-loaded with all the necessary code. Simply download and start trading – no complex installations required!
  • Strategy Development: Gain the skills to code your own crypto trading strategies within freqtrade. We'll walk you through the process, and provide access to a repository of pre-built strategies for inspiration.
  • Backtesting for Performance Analysis: Evaluate your strategies using robust backtesting techniques. See how your crypto trading bot would have performed historically to identify potential winners.
  • Strategy Optimization: Fine-tune your strategies to achieve the optimal reward/risk ratio. Learn how to identify and adjust key parameters for maximum profitability.
  • Walk-Forward Analysis: Mitigate overfitting and improve real-world performance with walk-forward analysis. Assess how your strategy performs on unseen data.
  • Paper Trading for Risk-Free Testing: Test your code and strategies in a safe environment with paper trading (simulated trading) – a crucial step before risking real capital.
  • Real-Money Deployment: Deploy your strategies to trade with real cryptocurrency once you're confident in their performance.
  • Telegram Integration: Control your trading bot from anywhere! Connect your code to Telegram for convenient monitoring and control via your phone. Start, stop, and manage your trading algorithm on the go.

No Python experience? No problem! Our course includes a Python primer to get you up to speed with the programming language needed for freqtrade.

Ready to automate your crypto trading and gain a competitive edge? Join us and start building your automated crypto trading future!

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