yyashhp

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.

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

Pairs-Trading

PrototypeEvaluation_ResNet18_CIFAR10

tamid

This repository holds the code for the TAMID at Miami's hypothetical investment portfolio

yyashhp/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

yyashhp/PrototypeEvaluation_ResNet18_CIFAR10

yyashhp/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

yyashhp/Bayesian_Inference_Models

Some programs demonstrating Bayesian Inference and Adaption For Prediction

yyashhp/Betting_Simulator

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

yyashhp/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

yyashhp/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.

yyashhp/Crossover-Strategy

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

yyashhp/Prosperity_2024

py

yyashhp/tamid

This repository holds the code for the TAMID at Miami's hypothetical investment portfolio

yyashhp/CSC322-GitLab

LabTask

yyashhp/FirstConvolutionalNeuralNetwork

My First Convolutional NN, using the CIFAR10 dataset

yyashhp/grn_transf

yyashhp/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!

yyashhp/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)"

yyashhp/Hierarchical-Risk-Parity

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

yyashhp/Kaggle-Regression-Analyses

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

yyashhp/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

yyashhp/Matrix-Algebra-optimization

yyashhp/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

yyashhp/Numerical_Analysis

Lectures Notes and Examples from Numerical Analysis Course

yyashhp/Portfolio-optimization-strat

yyashhp/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

yyashhp/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

yyashhp/reu-cfs

Computing For Structure

yyashhp/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.

yyashhp/stat_analysis_lib

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

yyashhp/SVM_reconstruction

some svm practice/sample

yyashhp/System-Programming-In-C-Unix

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

yyashhp/yyashhp

Config files for my GitHub profile.