12. 📈 Crypto Trend Forecaster
Overview
A web app that analyzes historical price data for major cryptocurrencies and provides short-term (e.g. 1–7 days) trend forecasts with confidence levels.
Primary Use Cases
- Crypto traders seeking data-driven signals
- Portfolio managers monitoring asset momentum
- Hobbyists exploring time-series ML
Key Features
- Symbol selector (BTC, ETH, etc.) and date range picker
- Interactive chart with historical prices + forecast bands
- Model insights: feature importance (volume spikes, social sentiment)
- Alert system: notifications when predicted trend flips
- Backtest dashboard: historical accuracy metrics per coin
Tech Stack
- Frontend: React + TypeScript + Recharts (or Chart.js)
- Backend: FastAPI (Python) + Go service for real-time alerts
- AI Models:
- Time-series: a fine-tuned
pmdarima
ARIMA or prophet
model
- Optionally deep learning:
timeseries-transformer
from Hugging Face
- Data: Ingest from CryptoCompare or CoinGecko API; store in PostgreSQL
Architecture
- Data Ingestor: cron job fetches OHLCV data → database.