Udemy Python for Financial Analysis and Algorithmic Trading

Udemy – Python for Financial Analysis and Algorithmic Trading
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn
Use Matplotlib to create custom plots
Use NumPy to quickly work with Numerical Data
Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
Use ARIMA models on Time Series Data
Optimize Portfolio Allocations
Learn about the Efficient Market Hypothesis
Use Pandas for Analyze and Visualize Data
Learn how to use statsmodels for Time Series Analysis
Use Exponentially Weighted Moving Averages
Calculate the Sharpe Ratio

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!

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)

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