High-performance quantitative factor cleaning and backtesting library
Open-source Hyperliquid trading client with portfolio analytics and vault analytics
PyNeval, a toolbox for quantative analysis on neuron reconstruction result.
Exotic options calculator (barrier, lookback + european call). Python implementation of Black-Sholes equation for exotic options.
Code for extracting mean-reverting portfolios out of large data sets.
Python Java. Research Proposal RP
Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.
SPSS Quantative and Qualitative Data Analysis. 10,000 word missing persons dissertation.
Offline PyQt6 desktop utility for phase-based motion amplification on recorded video, with supervised single-render processing, static mask zones, and optional quantitative analysis.
Quantitative analysis and visualization of user performance across two different input devices.
This project aims to analyze various portfolios based on volatility, returns, risk, and Sharpe Ratio using Python and Pandas concepts.
A predictive credit scoring system using alternative behavioral and demographic data from the 2021 FinAccess Survey to assess household loan default risk in Kenya.
Research Proposal. RP Python Java
NODEP-UA 9982.SY1 Experiential Learning Seminar | Spring2021 | Final Project
Python Java. Research Proposal RP
Applied machine learning projects in Python covering weather forecasting, wine quality classification, stock price prediction, cancer diagnosis, marketing analytics, and taxi fare estimation. Models include XGBoost and neural networks with cross-validation, hyperparameter tuning, and performance evaluation (MAE, RMSE, accuracy).
This project analyzes the link between Bitcoin sentiment (Fear & Greed) and trader performance on Hyperliquid. Using 200k+ records, we identify key profitability regimes and use K-Means clustering to segment users into Retail, Scalper, and Whale archetypes. A data-driven guide for optimizing DeFi trading strategies.
White matter overlap with EEG sites analysis code for Babo-Rebelo et al. 2021
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