Cryptocurrency Algorithmic Trading with Python and Binance

This comprehensive training program equips quantitative developers and retail traders alike with the end-to-end skills required to construct, test, and deploy automated cryptocurrency trading bots. Led by industry expert Alexander Hagmann, students dive deep into the mechanics of the Binance API, mastering both Spot and Futures trading frameworks. Throughout the curriculum, learners leverage the power of Python, utilizing core libraries such as Pandas, NumPy, and CCXT to interface with leading exchanges and process massive datasets of historical and real-time market data. Crucially, the course emphasizes rigorous mathematical verification, guiding you through detailed backtesting, forward testing, and paper trading methodologies to isolate profitable strategies while managing risks like slippage, spread, and commissions. Beyond strategic formulation, you will gain hands-on cloud computing experience by hosting and scheduling your fully autonomous trading algorithms on virtual servers via Amazon Web Services (AWS). Whether you aim to optimize your personal trading portfolio, understand the mathematical realities of margin trading, or launch robust cloud-based software architectures, this course provides a clear, step-by-step pathway from basic scripting to professional algorithmic execution.