battery_data_analysis

Utilized statistical analysis on a dataset of battery prices at each hour over a dataset, to create a basic trading strategy on when to buy and sell the batteries to make profit

bayesian_inference_models

Some programs demonstrating Bayesian Inference and Adaption For Prediction

betting_simulator

Creating a betting simulator akin to those used at quant trading technical interviews

car-dealership-web-scraping

Startup Work --- Obtain a list of all car dealerships in New Jersey, as well as other relevant data. Used web-scraping and Google Place API to find them all. Then used Folium API to visualize densities on a map

closed-end-fund-research

Looking into closed end funds to exploit the consistent spread between their values and their NAV's (Net Asset Values) which is the market value of their constituents.

crossover-strategy

Basic fast-slow CMA strategy, with optimal and least-optimal rates returned.

csc322-gitlab

LabTask

firstconvolutionalneuralnetwork

My First Convolutional NN, using the CIFAR10 dataset

grn_transf

gsa-capital-spark-challenge

Adding a web-scraper used for one of the tasks during the GSP Capital Spark challenge in 2023. In a mental-math speed challenge, you had to submit the answer in milliseconds, impossible to do when you factor in time for reading the question, let alone computing here. A solution was to scrape the website to autosubmit the answer!

hands-on-ml-projects

Developing projects and code guided and influenced by the book "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Aurélien Géron)"

hierarchical-risk-parity

Implementation of Marcos Lopez De Prado's Hierarchical Risk Parity Portfolio Allocation Method & Algorithm

hurst-exponent-calculation-process

This notebook briefly describes the purpose of a Hurst exponent and how it could be used to analyze a stock's price data to determine a potential trading strategy. It also has the code/process for determining a stock's hurst component, over different times and in different conditions

kaggle-regression-analyses

Running Regression and Diagnostics on some Kaggle Datasets. Checking for assumptions and more

lsma-indicator-computation

Creating a LSMA(least squares moving average) value for each row(day) in a a stock's history, using any number of days as a lookback period, which is to develop the formula for prediction

matrix-algebra-optimization

mean-reversion-with-customizable-inputs

Calculating thresholds for a stock, to be used in mean reversion

momentum-trading-with-lookback

This notebook implements a cascading selection process for stocks for a portfolio, which can be either from the nasdaq100 or s&p500. The chosen portfolios returns are displayed and compared with the benchmarks' returns. Date is variable

numerical_analysis

Lectures Notes and Examples from Numerical Analysis Course

pairs-trading

portfolio-optimization-strat

prosperity_2024

py

prototypeevaluation_resnet18_cifar10

pytorch_full_deeplearning_adventure

Going through a 25 hour guide on PyTorch for deep-learning purposes, going from basics of tensor operations to Convolutional Neural Network Development, Baseline Models, and custom data operations

quant-portfolio-tool

The idea behind this project is to create a self-sustaining framework for managing and iterating on new and existing quant strategies that will make up our portfolio

reu-cfs

Computing For Structure

soccer-data-statistical-analysis

Looking into a dataset of 25k soccer matches, utilizing multiple linear regression to identify/refute the presence of a comeback tendency in European League Football(Soccer). I also attempt to identify/refute the presence of momentum in goal-scoring in the same dataset.

stat_analysis_lib

Library constructed to ease and automate research process of different datasets.

svm_reconstruction

some svm practice/sample

system-programming-in-c-unix

Contains programs I have written for my System Programming Course, in C & Unix