Description
Jason Strimpel – Python for Quant Finance
Unlock promotions, career opportunities, and extra income with Python.
A complete system for getting started with Python for quant finance from scratch. No theory. No jargon. Just practical Python you can use.
Included is an entire framework to get you started with Python for quant finance.
It’s a complete set of step-by-step, proven frameworks that gives you:
- 20 hours of recorded content across 20 modules and 134 lessons
- An experienced, hands-on instructor to guide you every step
- 1,000s of lines of quant code you can use to kick start your projects
- A 1,300+ strong community of like-minded beginners to crowd-source answers, code, and strategies
- A structured, step-by-step path to getting outcomes with Python
- Accountability and support to help you when you hit a speedbump
What’s Included
Everything you need to start using Python for quant finance, algorithmic trading, and market data analyis.
Inside you’ll find real-time answers, code to get you started, and hundreds of people for networking, sharing ideas, and accelerating your progress. To maximize your investment, you’ll also get video replays, a written course curriculum, and more than $4,500 of free bonuses.
PQN Pro
Support from 1.4K others like you
Get personalized answers fast, detailed code walkthroughs, strategy ideas, and help fixing code bugs. All from thousands of like-minded people.
Onboarding
Get ready for the course
Install the Python Quant Stack, download market data, and connect to Interactive Brokers—all with step-by-step instructions.
Module 1:
Getting the Python Basics Right
If you’re brand new to Python, you’ll fast-track your learning with exactly what you need to know—no overwhelm, no complexity.
Module 2:
The Python Quant Stack
Get familiar with the the most important Python libraries for algo trading and data analysis—Pandas—so you can work with market data.
Module 3:
Algorithmic Trading, Backtesting, 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.
Module 9:
Automate Trade Execution with Python
Connect to your broker, download high-resolution market data, historical data, and automate your trades so you can get to trading, faster.
Module 10:
Double Down on Your Success With More Help and Support
Get expert guidance to take your experience to the next level. More strategies. More code. More support.
Also included: The Recipe Book
Code templates to get you started with algorithmic trading, portfolio optimization, and risk management.
In addition to the 12 modules and 134 lessons, written curriculum, and PQN Pro community, you get self-paced code “recipe.” Each one includes a 20-minute video walkthrough and is packed with code designed to get you started ASAP.
Get access to the entire program (for life)
Join 1,410 finance professionals, Python developers, traders, and complete beginners to use Python for data analysis, derivatives pricing, and algorithmic trading.
Should you join? Here’s what I think…
Not everyone is right for Getting Started With Python for Quant Finance and I want to make sure I don’t waste your time.
You’ll love this course if:
You want to use Python for getting market data, analyzing the financial markets, backtesting, and automating trading
You’re sick of paying Udemy and Datacamp for courses that are irrelevant to your goals
You want a somewhat opinionated approach to installing Python, writing code, and using the Python Quant Stack
You’re brand new to Python, quant finance, or both
You realize that taking tutorial after tutorial does not guarantee success. You want to learn and adopt of framework that will make you successful using Python
You don’t have time to waste learning a programming language and want to know just want you need
You want step-by-step guidance and structure from someone who’s been in the industry for 23 years
You like specific, hands-on instruction and don’t have time for the fluff
You’ll want a refund if:
You’d prefer to learn the theory behind programming and quant finance and not actually apply anything in practice
You prefer “figuring it out yourself” with a plethora of lessons with no clear path
You’re hoping that buying a course like this will give you trading strategies that will print you money
You’re looking for another Python tutorial that will help you do things like print “Hello World” and the Fibonacci sequence to the screen
You don’t really need to use Python in your field and probably won’t anytime soon
You’re OK with using the tools you have (like Excel) and are unwilling to budge in the slightest.
You’re thinking this course will teach you fundamentals of computer science like memory management.
You want to use Python to brute force optimize backtests and data mine the market (a bit of an inside joke you’ll understand once you dig into the course!)
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