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Python for Financial Analysis and Algorithmic Trading
Learn numpy , pandas , matplotlib , quantopian , finance , and more for algorithmic trading with Python!
This Course Includes
udemy
4.6 (18K reviews )
16h 38m 
english
Online - Self Paced
professional certificate
Udemy
About Python for Financial Analysis and Algorithmic Trading
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
What You Will 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 .
- Learn about the Efficient Market Hypothesis .
- Conduct algorithmic Trading on Quantopian Show moreShow less.