Python for Financial Analysis & Algorithmic Trading (2018)

Python for Financial Analysis & Algorithmic Trading (2018) course is now available at an affordable price. You can check out directly using multiple payment gateway options. If you have any questions or need an alternative payment method, feel free to contact us.

Python for Financial Analysis & Algorithmic Trading (2018) | 1.35 GB
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
Homepage:Code:https://www.udemy.com/python-for-finance-and-trading-algorithms/
Screenshots

More courses of this category

Delivery Policy

When will I receive my course?

You will receive a link to download/view your course immediately or within 1 to 24 hrs. It may takes few minutes, also few hours but never more than 24 hrs. Due to different time zone reasons.

How is my course delivered?

We share courses through Google Drive and Mega, so once your order is complete, you’ll receive an email with a google drive folder access link to view the course in your email.

To avoid any delay in delivery, please provide a Google mail and enter your email address correctly in the Checkout Page.

In case you submit a wrong email address, please Contact Us to resend the course to the correct email.

Where can I find my course?

Once your order is complete, a link to download/view the course will be sent to your email.