Forecasts of the power market prices before the day-ahead market closure time are prone to significant error. I predict whether the day ahead or balancing (standard marginal price price will be higher at a given hour next day. It creates decisive forecasts for reducing the balancing cost.

Easy to follow stock price analysis on Indian stock data

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

This API service is used to forecast product price given the contributing materials that form the final product.

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