Trend Graphs and Indicators
Layered trend graphs and technical indicators feeding into the Noise prediction engine.
Prediction Model Architecture
Multi-layered temporal model architecture integrating real-time data streams.
Code and Database Schema
Code snapshots and database schema supporting continuous learning and prediction accuracy.
Dashboard Visualization
User dashboard visualizing market predictions and confidence metrics in real time.

Project Details

  • Category: AI Market Prediction System
  • Client: Freelance / Collaborative
  • Project URL: Not Available

The Noise Project is an advanced AI-driven market prediction platform designed to analyze cryptocurrency trends through multi-layered temporal models and technical indicators.

The system integrates real-time data streams from various exchanges, applies sophisticated analytics, and uses layered prediction engines to produce actionable trading insights.

  • Multi-Layer Prediction Engines: Models such as Echo, Pulse, and Tide operate at different timescales to detect market trends and noise.
  • Technical Indicator Integration: Incorporates ADX, CMO, MACD, and other financial metrics to improve signal accuracy.
  • Real-Time Database Architecture: Uses SQLite and custom data storage to log, analyze, and refine predictions continuously.
  • User Dashboard: Provides a clean interface for reviewing live predictions, confidence scores, and historical accuracy.

This project showcases the combination of programming, data science, and financial analysis to empower strategic decision-making in volatile markets.