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

1. Data Ingestor: cron job fetches OHLCV data → database.