This Flask app scans a folder of images and makes the text inside them fully searchable, using open-source Tesseract OCR. This could be helpful for someone who has a massive folder of screenshots or scanned documents and wants to find what they need without uploading everything to a cloud service. This app runs 100% locally…
Tag: Python
Core logic of many of my projects, from trading algorithms to machine learning to web apps.
Data Science CV
I published my professional resume at cv.blakerayvid.com, turning my old Word file into an HTML/CSS/JS document. It lists my skills, projects, work history, and provides a PDF download. I built it to give a fast, clear view of what I do. Thanks to this change, I can now maintain my resume with VSCode. đź”— View…
Compare Stock Returns
This page lets you enter multiple stock tickers (eg. AAPL, MSFT, GOOGL) and even custom portfolio expressions (eg. 0.5*NVDA, 0.25*AMZN, 0.25*KO) and compare their performance against a benchmark (eg. SPY) over any time period. It’s built with Python and Flask on the backend. Data comes from Yahoo Finance via the yfinance library, pandas crunches the…
SOAP: A New Polling Platform
Constructive political criticism online is hard to find. Discussions quickly turn mean, and even minor disagreements can escalate into major arguments. Messages often get lost if one’s audience is too small, and misunderstood words can lead to backlash. That’s where Soap comes in—a new kind of social platform designed to change the way we talk…
Based News Reader
This script fetches the latest Google News RSS headlines for a user-supplied list of topics and regularly updates an HTML page hosted on Railway. Gemini AI prioritizes the headlines based on the user’s preferences. Designed to be scheduled with cron on any Unix-based system. 🗞️ news.blakerayvid.com How It Works View on GitHub
TQQQ Trading Algorithm
Developing a successful trading algorithm is about finding the right balance between capturing market gains and managing risks. In this capstone project for the Flatiron School Data Science Bootcamp, I created and refined a QuantConnect trading algorithm that combines a dynamic strategy for SPY with a risk-managed approach for TQQQ. The goal was to optimize…
Sentiment Classifier
My Flatiron School Data Science Bootcamp Phase 3 Project was to address the business problem of brand reputation management by monitoring and analyzing Twitter sentiment. The goal was to develop a machine learning model that can correctly classify tweets as positive, negative, or neutral, and provide insights to improve brand perception and engagement strategies. đź”—…
Space Debris Exploration
This is an exploratory data analysis (EDA) of a Kaggle dataset I made as part of the Flatiron School Data Science Bootcamp. The slides from an associated presentation are available here. đź”— View on GitHub
Skyrim Alchemy Optimizer
This Jupyter notebook can be used to maximize alchemy profitability using the ingredients you have on hand in The Elder Scrolls V: Skyrim. It uses integer linear programming from scipy.optimize.milp to determine which potions to make, and in what quantities, to maximize total value. It needs a csv file of the ingredients you have with…
Efficient Portfolio
This is a Python implementation of Robert C. Merton’s efficient or minimum-variance portfolio algorithm from the paper An Analytic Derivation of the Efficient Portfolio Frontier (1972). Building on the work of Harry Markowitz, Merton describes a way to assign weights to a list of securities to make a portfolio that has the lowest variance in…