The Bull Put Spread Trade on Seasonal Edge
A real bull put spread trade on Hasbro (HAS) using a seasonal edge from SeasonHunter — entry, weekly update, exit at 54% profit in 17 days, and why options beat equity for seasonal plays.
Read article →I help systematic traders build disciplined, data-driven strategies using options, seasonality, and Python.
PhD Physicist · Author, Stocks & Commodities · 7+ years live trading
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Fabio's work has always stood out to me for one reason: it's grounded in evidence, not opinions. As someone who has worked closely with him, I've seen firsthand the rigor he brings from physics into quantitative trading. His articles don't just explain strategies, they teach a way of thinking: formulate a hypothesis, test it thoroughly, and let the data speak. That mindset is rare and incredibly valuable. Keep writing.
I truly appreciate Fabio's analytical approach on stock/options trading. Anyone can easily grasp his methods and analyze potential moneymaking opportunities using the free scripts included. Thanks a lot Fabio, I will keep reading your articles and use the tools you provide.
The practical, data-driven approach, combined with clear explanations and easy-to-implement ideas in every post, has earned this newsletter a place on my list of favourites.
Your articles gave me great ideas to be implemented in my process. In particular the implied volatility (IV) calculation from IBKR data was excellent, clean piece of starter code. Keep up the fantastic work, and please share more technical content like this!
The Wheel Toolkit saved me hours every week. Having the pre-trade calculator and tracker in one place completely changed how I manage my positions. Showing the real numbers and trades helped me in my own trading process. Thank you!
While reading the articles on your website, I came away with a few ideas worth exploring. Even when I don't end up trading them, they often give me a different perspective or inspire something new to test. That's what keeps me coming back.
20 years in physics and supercomputing taught me how to build models, test them rigorously, and trust the data over intuition. In 2019, I turned that discipline on financial markets. I trade my own capital every week and share everything: the code, the losses, the wins.
A real bull put spread trade on Hasbro (HAS) using a seasonal edge from SeasonHunter — entry, weekly update, exit at 54% profit in 17 days, and why options beat equity for seasonal plays.
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Read more →Monthly market pulse, trading insights, and outlook delivered for free into your mailbox. Python code, seasonal signals, and live trade breakdown every month. Join systematic traders who want data and process, not tips and predictions. Everything I use myself shared every month, for free.
Subscribe free →A practical guide to identifying and trading recurring seasonal patterns in financial markets. Learn the framework I use to find high-probability seasonal edges, how to validate them statistically, and how to turn patterns into structured options trades. Free to read online or download.
Read the guide →Curated stock screeners for the Options Wheel Strategy. S&P 500 large caps, small-price stocks, and Dividend Aristocrats, each filtered for liquidity, fundamentals, and earnings timing. Updated monthly so you always start from a clean, vetted watchlist.
View screeners →Find profitable trades with a statistical edge before you place them. SeasonHunter scans 3,000+ financial instruments across historical data to surface seasonal patterns with proven win rates and statistical robustness, so you know exactly when to enter, when to exit, and why it works.
Try free →Starts with a free 30-minute conversation to understand where you are and what you need. From there we build a plan together: strategy refinement, options risk management, Python development, or systematic trading consultation. Think of it as having a quant trader in your corner.
Book your session →The complete systematic framework: wheel strategy, cash-secured puts, credit spreads, iron condors and more: all with Python code analysis and real trade examples. Built for traders who want data, not opinions. Every strategy comes with the math, the code, and the context to trade it with confidence.
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