Investment portfolio and stocks analyzing tools for Python with free historical data
Kilo-Kit is a comprehensive, modular framework for building and managing AI agent systems at scale (kilo-code = thousands of lines, hundreds of files). It introduces a revolutionary Cognitive Flow Architecture (CFA) that treats AI interactions as continuous flows rather than discrete events.
CFA RAW to RGB through the Bayer filter and Demosaicing
A Python module to perform exploratory & confirmatory factor analyses.
An unofficial Home Assistant integration and custom frontend card that fetches official fire danger ratings and total fire ban data directly from the Victoria CFA RSS feeds.
Multi-asset portfolio analytics with institutional-grade attribution and risk decomposition.
Credit risk analysis platform for Norwegian companies. CFA-based scoring, ML probability of default, Altman Z-score and Basel III ROE calculator. Built with Python, Streamlit and scikit-learn.
Unsupervised PCA + clustering on the S&P 100 — does price co-movement recover GICS sectors? (Spoiler: it finds the market factor first.)
CLI reproduction of CFA pattern identification using intermediate value counting
This repository contains all material related to the project done as a part of the course Transport Phenomena in Biological Systems (BT5051) in the Fall 2019 semester.
CFA x ML fraud detection: XGBoost AUC 0.987, 8 CFA-informed features in top 20 SHAP, 81% adversary-resistant floor. 5th domain controllability analysis. govML-governed.
Accessible tools for blind and low-vision users — starting with a screen-reader-first BA II Plus financial calculator for CFA, FRM and other competitive finance exams.
Quantitative Equity Research Platform for Indian Markets with technical analysis, factor ranking, forecasting, portfolio construction, and investment analytics.
Streamlit designs for AI/ML Data Science and Software Engineering
Investment-grade credit portfolio analytics in Python/Streamlit: yield-curve bootstrapping, Z-/G-spread, key-rate durations, DTS, active risk vs. benchmark, rate/spread scenarios, callable-bond OAS, and spread-based monitoring. Nordic IG focus.
CLI and optional demo reproduction of CFA hue modification estimation
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