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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.
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 %).
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
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.
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.
REST API for real-time commodity futures prices — gold, silver, crude oil, natural gas, coffee, wheat, and 25+ more. Prices from CME, NYMEX, and CBOT in USD.