Transportation Model for an optimal strategy for distributing a commodity from a group of supply centers to various receiving centers. Solved in C# Windows Form Application

A Reinforcement Learning-based agent for product procurement in an agri-commodity setting.

Algorithmic trading strategies for pairs and basket trading in cross-commodity markets

This template uses external commodity International Monetary Fund data for creating an algorithm for futures contracts.

Quantitative Finance, Financial Machine Learning and visualizations Notebooks

Fortune Cookies for AmigaOS

Comprehensive Python package for managing currency codes across different types of assets

💼 All internet banking branches, electronic payment institutions (EMI), gold, stock market, and cryptocurrency data in one place.

This project utilizes Facebook Prophet to analyze time series data and accurately predict commodity (avocado) prices for the market.

In this project we analyze how news events influence polypropylene (PP) prices using LLM-based text analysis and market data. Specifically, GPT-4.1 and FinBERT were applied onto OPEC Monthly Oil Market Reports to generate a hybrid sentiment index, combining demand, supply, and price outlooks.

A class for modelling of commodity pricing focusing on data ingestion and time-series forecasting

Commodity Currency Update API

This Commodity Sales Loop program (C++) allows the user to enter the number of units and sales price for commodity items sold throughout the day. An algorithm finds the lowest and highest transactions from the array of input values, printing a transaction report to the console.

商城选择商品数量控件

Codes and datas used for MSc Thesis: Using AI to forecast commodity prices

商品管理系统 动态内存分配版本

The intention of this project is to scrape the commodity or other asset data from investing.com, which utilizes Python to get date, price (open, close), volume, and movement (change in %).

Agricultural commodity price and risk analysis and simulation of various marketing strategies

A dashboard that visualises the multilateral trade flow of India between 2010 and 2018.

A comprehensive end-to-end data analytics project analyzing India's foodgrain stocks across 26 states and 177 districts from 2010-2025. The project includes data collection from India's Open Government Data Portal, extensive cleaning and processing using Python and SQL, and interactive visualization through Power BI dashboard.