Description
Python for Financial Analysis and Algorithmic Trading
Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
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What you'll learn?
#Use NumPy to quickly work with Numerical Data
#Use Pandas for Analyze and Visualize Data
#Use Matplotlib to create custom plots
#Learn how to use statsmodels for Time Series Analysis
#Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
#Use Exponentially Weighted Moving Averages
#Use ARIMA models on Time Series Data
#Calculate the Sharpe Ratio
#Optimize Portfolio Allocations
#Understand the Capital Asset Pricing Model
Description
Created by Jose Portilla
Last updated 2/2020
English