PyQuant News – Python for Quant Finance
PyQuant News – Python for Quant Finance 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.
Description
About Course:
You know Python can help in a lot of ways:
Advance your career
Earn passive income trading
Improve your trading performance
You know to unlock these goals, you need Python for data, analysis, and trading.
It’s one thing to “learn Python.” But it’s a completely different thing to use Python for quant finance.
For many of us, getting started with Python is a mystery.
You know there is immense power at your fingertips, but you just can’t quite figure out how to go from theory to practice.
Modules, IDEs, swaps, options, Jupyter, functions, automation, back testing, loops, classes, CVaR, Sharpe, list comprehensions, walk forward analysis…
Module 1:
Getting the Python Basics Right
If you’re brand new to Python, you’ll fast-track you’re learning with exactly what you need to know—no overwhelm, no complexity.
Module 2:
The Python Quant Stack
Get familiar with the most important Python libraries for algo trading and data analysis—Pandas—so you can work with market data.
Module 3:
Algorithmic Trading, Back testing, and Strategy Formation
Yes! Retail traders can compete. Get a framework to form trading ideas, test them, and get them executed.
Module 4:
Treat Your Backtest Like an Experiment
Understand why most people get backtesting wrong—and the secret of avoiding losing money because of a backtest.
Module 5:
How to Engineer Alpha Factors with Python
Get the tools and techniques professional money managers use to manage portfolios and hedge away unwanted risk.
Module 6:
Prototyping and Optimizing Strategies with VectorBT
Get working code to run millions of simulations with the cutting-edge VectorBT backtesting library.
Module 7:
How to Backtest a Trading Strategy with Zipline Reloaded
Build factor pipelines to screen and sort a universe of 21,000+ equities to build and backtest real-life factor portfolios.
Module 8:
Risk and Performance Analysis with PyFolio and AlphaLens
Get the code to quickly asses strategy risk and performance—including factor performance—and assess alpha decay.
Related
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.
