Eth AI Forecaster pulls Ethereum's price history from Yahoo Finance via yfinance, going back to 2018, and uses a machine learning model to forecast the next likely price movement. Built with Python, pandas, and Jupyter notebooks.
Cryptocurrency price data is noisy and volatile — a model that overfits to short-term swings produces forecasts that look precise but mean nothing. The challenge was building a pipeline that could clean and structure years of price history, then produce a forecast simple enough to read at a glance.
Built a pandas-based pipeline to pull and structure historical ETH price data, charted the full trend from 2018 to present, then layered a forecasting model on top that plots predicted next-day movement directly onto the historical chart as distinct marked points — keeping the prediction visually separate from the historical data it's based on.
Charts pulled directly from the project: historical price trend, the forecast table, and the day-ahead prediction overlay.
