Gettingstartedwithpythonforquantfinance – Python for Quant Finance

Python can assist in various ways:

Securing a new job

Setting yourself apart at work

Advancing your career

Generating passive income through trading

Enhancing your trading performance

To unlock these objectives, Python is essential for data, analysis, and trading.

Thus, you opted for a $19 online course.

You acquired the knowledge of constructing a tic-tac-toe game from an individual who lacks experience in trading, financial analysis, or finance.

Or delving into more impractical theories that don’t propel you closer to your goals.

I’ve encountered such situations.

If you’re new to Python, your initial step is likely to involve searching for a “python tutorial.” Upon seeing 533,000,000 results, you quickly scroll and then proceed to the first paid ad.

You’ve consumed blogs, watched YouTube, and completed various courses.

However, applying Python for quant finance in practical situations (beyond mere examples) may seem like something others can achieve, but not you.

Instead, you’re…

Enrolling in courses devoid of practical applications, examples, or real-world projects

Investing time in generic tutorials centered on syntax rather than quant finance

Purchasing recorded courses that leave you with faulty code, “magic solutions,” outdated libraries, and no assistance

Feeling completely lost on where to direct your focus for the concrete skills and experience you desire

Stressing over the application of your learning to enhance job prospects (or potentially leave your job altogether)

Sound familiar?

Learning Python is one thing, but utilizing it for quant finance is an entirely different challenge.

For many of us, initiating Python remains a puzzle.

While you recognize the immense power at your fingertips, bridging the gap from theory to practice seems elusive.

Modules, IDEs, swaps, options, Jupyter, functions, automation, backtesting, loops, classes, CVaR, Sharpe, list comprehensions, walk forward analysis…

It’s almost like people are speaking a different language.

In Singapore (2015), I explained how to price options using Python.

Greetings, I’m Jason, the creator of Getting Started With Python for Quant Finance.

I can decode that language for you.

With over 20 years of trading experience, 15 as a quant, and 12 as a daily Python user, I started assisting others in October 2022 to amalgamate these three skills.

Included is a comprehensive framework to initiate your journey with Python for quant finance.

It encompasses a series of proven, step-by-step frameworks that provide:

Interactive group sessions for instant answers

Guidance from an experienced, hands-on instructor at every step

Quant code comprising thousands of lines to kick start your projects

A community of over 900 like-minded beginners for collective problem-solving, code sharing, and strategy discussions

Industry Speakers from renowned firms, enabling networking with industry practitioners

A structured, step-by-step pathway to achieving outcomes with Python

Accountability and support when faced with challenges

So, what does all this mean?

It implies you won’t waste time on Python that serves no practical purpose. It means acquiring skills for a new quant job or commencing trading from home.

You gain access to the same quant tools I used for analyzing $20 billion of derivatives credit exposure, managing a $100 million CVA book, overseeing a global team of quant engineers, and trading stocks and options.

If you’re struggling to initiate Python for quant finance, this course is tailored for you.

More courses from this author: Gettingstartedwithpythonforquantfinance