Python for Financial Analysis and Algorithmic Trading

Learn Python for Financial Analysis and Algorithmic Trading – completely free! This course will guide you through everything you need to know to use Python for finance and algorithmic trading.

You’ll learn the fundamentals of Python and explore key libraries used in the Py-Finance Ecosystem, including Jupyter, NumPy, Pandas, Matplotlib, Statsmodels, Zipline, Quantopian, and more.

This course covers a wide range of topics, including:

* Python Fundamentals
* NumPy for High Speed Numerical Processing
* Pandas for Efficient Data Analysis
* Matplotlib for Data Visualization
* Data Ingestion with Pandas-datareader and Quandl
* Pandas Time Series Analysis Techniques
* Stock Returns Analysis
* Cumulative Daily Returns
* Volatility and Securities Risk
* EWMA (Exponentially Weighted Moving Average)
* Statsmodels
* ETS (Error-Trend-Seasonality)
* ARIMA (Auto-regressive Integrated Moving Averages)
* Auto Correlation Plots and Partial Auto Correlation Plots
* Sharpe Ratio
* Portfolio Allocation Optimization
* Efficient Frontier and Markowitz Optimization
* Types of Funds
* Order Books
* Short Selling
* Capital Asset Pricing Model
* Stock Splits and Dividends
* Efficient Market Hypothesis
* Algorithmic Trading with Quantopian
* Futures Trading

This course is perfect for anyone interested in using Python for finance, including analysts, traders, and data scientists. Start learning for free today!

This course is offered for free on Theetay. Theetay provides free access to top-rated courses from platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and others.