I recently took a long break from working on StockSimPy — school got busy and pulled me away — but I’m back. The project is getting closer to the finish line, yet somehow the closer I get, the further it feels. The core components — backtesting, port...

Yeah, you heard that right. This is part 6 of my Building Stocksimpyhttps://medium.com/@suleymansade09/list/building-stocksimpy-944f16d39f68 series, where I build a light-weight Python backtesting library, sharing every step along the way. In the ...

Note: this is an old post related to my Building Stocksimpy series Most of the stock back-testing tools and libraries I've seen are either too complex for beginners or have a steep learning curve. So I decided to build my own Python library from scr...

From Cash to Stocks: Watch Your Portfolio in Action This is part 5 of my “Building Stocksimpy” series, where I’m building a lightweight Python stock backtesting library from zero. In the last post, I explained why I want Stocksimpy to stay simple:...

Introducing Build & Learn > The best way to learn is by building it. Do you love building projects, learning new skills, and sharing your coding journey? Then this is the group for you! Build & Learn is a community where developers at all leve...

Hi there! If you are new to this series, “Building stocksimpy” is a series where I create a new Python library from scratch, documenting every step along the way. The goal of the library is to be a lightweight, open-source, and well-documented altern...

Imagine being able to test your strategy in less than 10 lines of Python code, rather than spending hours with other libraries. This is what will make Stocksimpy useful. This is the 4th technically 5th post in my devlog series on building Stocksimp...

StockSimPy is a lightweight Python library for simple stock backtesting. The goal is to understand Pandas, experiment with stock strategies better, and create an easy-to-use alternative to more complex backtesting tools. This is part 3 of the series ...

A self-reflection on my past project — DiaGuide — and what I learned about “good code” I thought I had something good. DiaGuide — a diabetes risk prediction app I built in under 48 hours — was working. The ML model ran fast, the precision was accep...

!Image descriptionhttps://dev-to-uploads.s3.amazonaws.com/uploads/articles/35g8tviw3wtzmwbvhtnb.jpeg What I Built As someone who frequently writes blogs about AI and programming. I decided to generate an app that uses Google Imagen to generate co...