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QuantHarness
QuantHarness is a multi-agent trading analysis system that combines technical indicators, pattern recognition, and trend analysis.
QuantHarness is a sophisticated multi-agent trading analysis system that combines technical indicators, pattern recognition, and trend analysis using LangChain and LangGraph. The system provides both a web interface and programmatic access for comprehensive market analysis. It includes indicator, pattern, trend, and decision agents that compute technical metrics, draw price charts, and formulate trade directives. The platform runs on Python, uses Flask for the web interface, and integrates with Yahoo Finance for real-time market data. It is designed for researchers and developers interested in automated financial analysis and trading strategies.
QuantHarness at a glance
Key features
- Computes technical indicators like RSI, MACD, and Stochastic Oscillator
- Performs pattern recognition using visual price charts
- Analyzes market trends with fitted trend channels
- Synthesizes agent outputs to formulate trade directives
- Provides a Flask-based web interface for real-time data
- Supports multiple timeframe analysis from 1m to 1d
- Allows programmatic usage via Python imports
Use it for
- Analyzing stocks, crypto, commodities, and indices
- Conducting automated technical market analysis
- Generating trade directives with entry and exit points
- Researching multi-agent LLM financial applications
Alternatives to QuantHarness
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- Nina — Institutional-grade real-time data and non-custodial wallet execution.
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- CloddsBot — Execute trades, track whales, and scan for arbitrage across dozens of markets.
- Daily Stock Analysis — Integrates multi-source data, LLM decisions, and multi-channel notifications.
- Clawock — It keeps an accumulating, verifiable record of agent decisions and outcomes without hand-tuning.
- AI Berkshire — It forces clear conclusions with specific price ranges and multi-agent debate.
All QuantHarness alternatives