DataCamp
FreeFinancial Trading in Python
4.8(288)21k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate Python course introduces algorithmic trading by combining market fundamentals with technical analysis. Working across diverse asset classes like equities, forex, and cryptocurrencies, learners move from basic indicator calculation to coding, backtesting, and evaluating customized quantitative trading strategies.
Who It's For
Python developers, quantitative analysts, and financial enthusiasts ready to transition from manual market analysis to automated, backtested trading strategies.
Key Takeaways
- Trading & Technical Analysis: Master trading fundamentals, technical indicators, and signal generation across stocks, forex, and crypto data.
- Strategy Implementation: Program custom trading strategies in Python to generate buy and sell signals based on market rules.
- Backtesting & Performance: Test strategy performance against historical data to evaluate profitability, drawdowns, and risk metrics.
About this course
Are you fascinated by the financial markets and interested in financial trading? This course will help you to understand why people trade, what the different trading styles are, and how to use Python to implement and test your trading strategies. Start your trading adventure with an introduction to technical analysis, indicators, and signals. You'll learn to build trading strategies by working with real-world financial data such as stocks, foreign exchange, and cryptocurrencies. By the end of this course, you'll be able to implement custom trading strategies in Python, backtest them, and evaluate their performance.
Price
Free
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