BlackObsidian

Asset Management

00%

Initializing Experience

Back to Projects
Finance

QSCI Indicator

Quantum Sentiment Composite Indicator. Advanced market sentiment analysis tool fusing multiple data streams.

Project Overview

The Quantum Sentiment Composite Indicator (QSCI) is an advanced market sentiment analysis tool that fuses multiple data streams including social media sentiment, on-chain metrics, order flow analysis, and traditional technical indicators. Using natural language processing and machine learning, it generates real-time sentiment scores that help predict market movements with high accuracy.

Timeline: 5 months
Status: Production

Key Features

Multi-source sentiment aggregation

NLP-powered social media analysis

On-chain metrics integration

Real-time signal generation

Customizable sentiment thresholds

Historical sentiment backtesting

Technology Stack

PythonNLPQuantLib

Architecture

Backend

  • Python
  • NLTK/spaCy
  • Twitter API
  • Reddit API
  • Web3.py

Infrastructure

  • Kafka for data streaming
  • Elasticsearch for indexing
  • Grafana dashboards

Challenges Overcome

Processing millions of social media posts in real-time
Filtering noise from genuine sentiment signals
Integrating diverse data sources with different formats
Maintaining accuracy during market regime changes

Key Outcomes

Achieved 73% prediction accuracy for major moves
Processed 1M+ social media posts daily
Generated 50+ actionable signals per week
Reduced false positives by 40% through ML optimization

Interested in this project?

View the source code on GitHub or explore more projects in my portfolio.

View on GitHubMore Projects