CryptoVol and AnomaScope - Sell Project

Listed May 8, 2025

About CryptoVol and AnomaScope

"AI tools to predict crypto volatility & detect time series anomalies fast."

CryptoVol – Cryptocurrency Volatility Predictor CryptoVol is an AI-powered tool that forecasts cryptocurrency price volatility using LSTM and ARIMA models. Designed for traders and analysts, it visualizes trends, predicts market swings, and helps users make informed decisions with real-time insights. AnomaScope – Time Series Anomaly Detection Tool AnomaScope is a smart analytics solution that detects anomalies in time series data using statistical and AI techniques. Ideal for data analysts, it highlights unusual patterns, outliers, and system risks across domains like finance, IoT, and operations.

Project details

Built with: python,Streamlit

Next step: <h3><strong>1. Deploy as a Commercial SaaS Tool</strong></h3><ul><li>Host on a cloud platform (e.g., AWS, Heroku, Streamlit Cloud).</li><li>Add user authentication, payment gateway, and subscription plans.</li><li>Market it to financial analysts, crypto traders, or data professionals.</li></ul><h3><strong>2. Integrate with Real-Time Data APIs</strong></h3><ul><li>Connect CryptoVol to <strong>live crypto feeds</strong> (CoinGecko, Binance API).</li><li>Feed AnomaScope with <strong>IoT, eCommerce, or server logs</strong> for real-time anomaly alerts.</li></ul><h3><strong>3. Expand to a Full Analytics Suite</strong></h3><ul><li>Combine both tools into a single dashboard with tabs (Crypto + Anomaly).</li><li>Add modules for trend analysis, report generation, and data export (CSV/PDF).</li></ul><h3> <strong>4. Use for Consulting / Workshops</strong></h3><ul><li>Offer it as a custom solution to fintech startups or colleges.</li><li>Run workshops or courses teaching AI with real-world projects using this tool.</li></ul><h3> <strong>5. Rebrand & White-Label</strong></h3><ul><li>Rename, re-theme, and customize UI/UX.</li><li>Resell as a branded tool to agencies, startups, or enterprise clients.</li></ul><h3> <strong>6. Add User Features</strong></h3><ul><li>Multi-model comparison dashboard</li><li>Forecast accuracy metrics and anomaly heatmaps</li><li>User upload portal for their own datasets</li></ul><p><br></p>

For sale

What's included

Source code, All related data

Reason for selling

I am selling this project because I am currently in need of money and would like to sell this project.

Project metrics

Average Monthly Revenue: Pre-revenue