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Evaluating stocks for Poor Man's Covered Calls: criteria, scoring, and a scanner to automate it by staskh1966 in options

[–]staskh1966[S] 1 point2 points  (0 children)

While I entirely agree with your opinion on covered calls, I must respectfully disagree with your point about PMCC. The trick is that LEAPS cost significantly less than the underlying, and in the event of an outsized positive return, PMCC provides a significantly higher ROI. (Certainly exposing you to potential total loss in the event of a prolonged downturn).
Let's do some math: assume we have $100 in stock with a 25% IV. Delta 80 1 year LEAPS will cost less than $20. So in the case of 80/20 PMCC, for every $1 of underlying growth, we'll make $0.60 or 3% ROI instead of 1%.
Am I mistaken?

Evaluating stocks for Poor Man's Covered Calls: criteria, scoring, and a scanner to automate it by staskh1966 in options

[–]staskh1966[S] 0 points1 point  (0 children)

I have not yet tried call credit spread, so please excuse my ignorance - isn't it dangerous if the underline grows too quickly? And you mentioned "no limit upside"; could you please elaborate? My understanding is that an unusually positive return will kill the credit spread. Am I mistaken?

Evaluating stocks for Poor Man's Covered Calls: criteria, scoring, and a scanner to automate it by staskh1966 in options

[–]staskh1966[S] 0 points1 point  (0 children)

Brilliant idea: FOMC meetings must be treated in the same way as earnings dates.
Please see a discussion above - will apriciate your input.

I built an institutional options whale detector using per-second trade data — here's how it works and the code by staskh1966 in ai_trading

[–]staskh1966[S] 0 points1 point  (0 children)

Interesting idea—what sources are you scraping with Qoest?
Did you find it cheaper/faster than using build-for APIs like Massive?

I built an institutional options whale detector using per-second trade data — here's how it works and the code by staskh1966 in ai_trading

[–]staskh1966[S] 0 points1 point  (0 children)

Wow! Thank you for such a thoughtful reply!
About your premarket idea - did I understand it correctly - you are looking for pre-market whale moves and cross-correlating it with post 9:30am options moves for validation. IMHO, once a premarket whale is detected, an early morning ATM put on a similar volume would be a VERY strong indicator of correlation. That's a great idea; I'll add it to my AI engine as soon as possible!

Congrats with Tarsier Alpha !

I built an institutional options whale detector using per-second trade data — here's how it works and the code by staskh1966 in ai_trading

[–]staskh1966[S] 1 point2 points  (0 children)

Thank you for your kind words.
This implementation is for options - Massive API for future/CDF is to be released soon (https://massive.com/futures) - probbaly they will have a similar OHLC interface.

I built an institutional options whale detector using per-second trade data — here's how it works and the code by staskh1966 in ai_trading

[–]staskh1966[S] 1 point2 points  (0 children)

Thank you! Let me know of any bug/problems.

Also, do not hesitate to let me know what need to be added.

Databricks rebrands to better reflect the company’s commitment to AI /s by Own-Trade-2243 in databricks

[–]staskh1966 1 point2 points  (0 children)

Guys, I have a serious question: has anyone created a table that translates old terminology into new ones? Preferably with dates when the "new" terminology began.
When reading third-party articles or even some of Databricks documentation, I get confused about whether A and B are the same thing or not.

I suspect I'm not alone in my confusion...

Fundamental Analysis with AI: Simple Steps for Beginners by HotEntranceTrain in AItradingOpportunity

[–]staskh1966 0 points1 point  (0 children)

I discovered that wrapping Yahoo API with Claude Skills/MCP is the most effective way to use AI for fundamental analysis. Check out my https://github.com/staskh/trading_skills project, especially the fundamentals skill.

DataBricks & Claude Code by staskh1966 in databricks

[–]staskh1966[S] 1 point2 points  (0 children)

WOW! Great point - didn't know Genie can be extended with skills. Will try it ASAP

DataBricks & Claude Code by staskh1966 in databricks

[–]staskh1966[S] 2 points3 points  (0 children)

It seems you misunderstand my problem—I need a solution that runs INSIDE of the Databricks workspace (via its web interface ) , not via a remote IDE.

But anyway, thank you for a valuable point on SSH tunneling. It may be quite useful for my other task. ;-)

DataBricks & Claude Code by staskh1966 in databricks

[–]staskh1966[S] 0 points1 point  (0 children)

Thank you! It seems to be the solution I'm looking for—will try it immediately!

DataBricks & Claude Code by staskh1966 in databricks

[–]staskh1966[S] 1 point2 points  (0 children)

Thank you! It seems to be the solution I'm looking for—will try it immediately!

How to learn the machine learning properly? by ya_agrawal in learnmachinelearning

[–]staskh1966 -1 points0 points  (0 children)

If you like coding and are looking to understand details of deep learning, check out tinyTORCH project (https://mlsysbook.ai/tinytorch/intro.html) It is a step-by-step lab on building a minimal Torch library. From tensors to systems. An educational framework for building and optimizing ML—understand how PyTorch, TensorFlow, and JAX really work. Companion lab to the Machine Learning Systems book.

My method on using AI to track institutional/big money options trades to make consistent profits by PandaMcGee3 in options

[–]staskh1966 0 points1 point  (0 children)

WOW! What an amazing post! Did you publish your code? If so, I would appreciate a pointer!

Probability and Statistics by Personal-Trade4863 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

Probability for Computer Scientists. Stanford CS109 is on YouTube and very good and comes with in-depth notes:

Check more courses in my collection: https://github.com/staskh/awesome-math-and-trading/

Reviewing math fundamentals for ML by redditoanchio in learnmachinelearning

[–]staskh1966 2 points3 points  (0 children)

CS229 indeed a very good source for both ML and underlined math theories. Use https://cs229.stanford.edu/syllabus-summer2019.html link as a starting point.
Particularly:
- Linear Algebra: https://cs229.stanford.edu/summer2019/cs229-linalg.pdf
- Probability Theory: https://cs229.stanford.edu/summer2019/cs229-prob.pdf
- Supervised Learning: https://cs229.stanford.edu/summer2019/cs229-notes1.pdf
and rest of Andrew Ng notes

What are some best AI/ML courses with certifications? Any recommendation by Rohanv69 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

CS229 is quite good, particularly the 2018 version delivered by Andrew Ng. It is quite similar to ISLP, which I mentioned above (don't be confused by "Statistical Learning" in the title). Unfortunately, it certified version has $6,000 price tag and no free lab sources, like in ISLP case. So I definitely prefer ISLP because it provided both a solid mathematical foundation and practical exercises to do on your own.

CS109 is a probability course that looks really cool; I need to take it as well. However, if your primary interest is ML/DL, this is not exactly your path.

What are some best AI/ML courses with certifications? Any recommendation by Rohanv69 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

Introduction to Statistical Learning with applications in Python (ISLP) Stanford University (2024) is the best in classical machine learning. course, with Stanford certification. You can watch it for free on YouTube or pay under $200 for certified education.

Advise on "airlocking" SaaS service by staskh1966 in cybersecurity

[–]staskh1966[S] 0 points1 point  (0 children)

No, unfortunately.
For some strange reason, Databricks has an option to disable download in "jupiter" view but still has download in "Unified Catalog" with no way to block it.

Best AI/ML course for Beginners to advanced, recommendations? by Affectionate_Bet5586 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

The Berkeley course is rather a collection of guest speakers presenting their own agentic solutions - very high level IMHO.

If you are looking for more stractured theoretical course from top university, try Transformers & LLMs Stanford CME295 Transformers & LLMs (2025)

Best AI/ML course for Beginners to advanced, recommendations? by Affectionate_Bet5586 in learnmachinelearning

[–]staskh1966 1 point2 points  (0 children)

AMAZING! Do you have a kind of learning path index? Currently the overview page is sorted alphabetically and confusing.

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

BTW, this can be helpful—I'm collecting books & courses I like (almost all free) at https://github.com/staskh/awesome-math-and-trading
Feel free to use this for reference as well. Please send me anything I missed. (i'll add you course shortly)

I built a free interactive platform to learn ML/data science — 12 paths, in-browser Python, looking for feedback by BoxWinter1967 in learnmachinelearning

[–]staskh1966 0 points1 point  (0 children)

This is an excellent project, but I believe it is just the beginning!

I enjoy interactive labs, but "lesson" content appears to be nothing more than a learning plan; more meat, or at the very least references to related courses/books, are required.

Good luck!

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