I dive into popular trading indicators — SMA, EMA, DEMA, and TEMA — and code them from scratch. No plug-and-play libraries. Just core logic, math, and learning by doing.
In my latest blog post, I cover: ✅ How to set up Sphinx in minutes ✅ Autogenerating docs from your code with autodoc ✅ Using Google-style docstrings and napoleon ✅ Making your docs future-proof and contributor-friendly
I cleaned a public dataset and chose to remove income and education, which only improved accuracy slightly. The focus was on trust and accessibility, not just numbers.
Just hit 1000+ lines in my Python library stocksimpy! 🧠 200+ lines of core logic 📝 250+ lines of documentation 🧪 700+ lines of tests I didn’t realize writing well-documented code would be this hard 😅
Just wrote about why we say “please” and “thank you” to ChatGPT — even though it’s just a machine. 🤖💬 Is it politeness, psychology, or something deeper about how we connect with AI? Check it out and let me know what you think! 👉 medium.com/@suleymansad... #AI#ChatGPT#TechPsychology#HumanMachine
🗑️ Garbage in, garbage out. How does AI know what you want before you do? It all starts with quality data 📊 and solid feature engineering. I wrote about why good data matters and how to get it right: 👉 medium.com/ai-in-plain-... #AI#DataScience
