Udemy - Python for Financial Analysis and Algorithmic Trading torrent

Udemy - Python for Financial Analysis and Algorithmic Trading
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.62 GB | Duration: 1h 36m
Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
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!

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: