price-forecasting

Open-source electricity spot price forecasting toolkit for China power markets.

This repository implements a Temporal Convolutional Network (TCN) model for predicting financial instrument prices, including currencies, stocks, and cryptocurrencies. It uses advanced techniques like gradient boosting to improve prediction accuracy and handle diverse datasets effectively.

Multi-country energy price forecasting system with event awareness and data quality guards.

Easy to follow stock price analysis on Indian stock data

Powerful XRP price forecasting using public data. Stacking ensemble (Bi-GRU/LSTM/CNN-LSTM + LightGBM/XGBoost, RidgeR). Fuses market OHLCV (CCXT), news sentiment & top50 whale activity. No API keys or signups. Easy setup. CPU/GPU-ready. Multi-horizon single run forecasting. Backtests + Predictions visuals: plot_charts & in-depth tensorboard dash

This project, I am constructing a predictive model that can prognosticate gold prices using historical price data and pertinent financial indicators.

This repository contains an implementation of the LightGBM model for predicting financial instrument prices like stocks, currencies, and cryptocurrencies. It uses gradient boosting to analyze patterns in price data, aiming to enhance the accuracy and reliability of financial predictions.

EU power market model for system analysis

Enterprise AI Lab, encompassing AI scenarios utilized by various types of enterprises including finance, manufacturing, and energy, providing guidance for scenario

AI-powered e-commerce competitor analysis with price forecasting (0.38% MAPE) and sentiment analysis using Chronos, Prophet, and Llama 3.3 70B

7-day-ahead wholesale crop price forecasting for Punjab, Pakistan — Playwright-scraped government market data, LightGBM benchmarked against a naive baseline, and a live Streamlit demo.

Tani Genie. Climate and price decision companion for Indonesian smallholder farmers.

LLM crop advisor paired with LSTM price forecasting across 200 stations for Pakistan's agriculture sector.

✨ Home Assignment for the Data Scientist Position (Curves) at Argus Media Group

Using Long-Short Term Memory Neural Networks to forecast and trade Ethereum, a cryptocurrency.

This repository implements a Random Forest Regressor for price prediction in financial markets, including stocks, currencies, and cryptocurrencies. It uses gradient boosting techniques to improve the model's accuracy and robustness for forecasting financial data across different datasets.

BevIntel AI is a tool which predicts beverage prices using real product attributes and market patterns, with models trained on cleaned and feature-engineered data. It focuses on identifying the key factors that drive pricing changes.

Causal price intelligence for India's agricultural mandis - 1.6M+ live price records across 436 commodities, a rainfall regression-discontinuity engine, conformal forecasts, EVT tail risk and debiased ML. FastAPI, DuckDB and Streamlit.

📘 Home Assignment for the Data Scientist Position (Curves) at Argus Media Group

Analytics for Singapore business electricity buyers: real half-hourly USEP, regulated tariff and demand-response data, with a transparent signal on when to lock a fixed price, hold the tariff, or float on wholesale.