Description:

Description

Welcome to Python for Financial Analysis and Algorithmic Trading! Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!This course will guide you through everything you need to know to use Python for Finance and Algorithmic Trading! We’ll start off by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

We’ll cover the following topics used by financial professionals:

   Python Fundamentals
   NumPy for High Speed Numerical Processing
   Pandas for Efficient Data Analysis
   Matplotlib for Data Visualization
   Using pandas-datareader and Quandl for data ingestion
   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

Who is the target audience?

   Someone familiar with Python who wants to learn about Financial Analysis!

Requirements

   Some knowledge of programming (preferably Python)
   Ability to Download Anaconda (Python) to your computer
   Basic Statistics and Linear Algebra will be helpful