Documentation Index
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What is QuantAgent?
QuantAgent is a research system that applies large language models to high-frequency trading analysis. It orchestrates four specialized agents — Indicator, Pattern, Trend, and Decision — through a LangGraph pipeline. Each agent focuses on a distinct analytical task, and their outputs are synthesized by the Decision Agent into actionable trade directives. The system is introduced in the paper “QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading” (arXiv:2509.09995) by Fei Xiong, Xiang Zhang, Aosong Feng, Siqi Sun, and Chenyu You.Key capabilities
Four specialized agents
| Agent | Role |
|---|---|
| Indicator Agent | Computes RSI, MACD, Stochastic Oscillator, ROC, and Williams %R from raw OHLC candlestick data |
| Pattern Agent | Generates a K-line chart, identifies key highs and lows, and returns a plain-language description of the best-matching chart pattern |
| Trend Agent | Renders annotated K-line charts with fitted trend channels, then summarizes market direction, channel slope, and consolidation zones |
| Decision Agent | Synthesizes all agent outputs into a trade directive specifying LONG or SHORT position, entry/exit points, stop-loss thresholds, and rationale |
Multi-provider LLM support
QuantAgent supports three LLM providers out of the box:- OpenAI — default models:
gpt-4o-mini(agents),gpt-4o(graph logic) - Anthropic — default models:
claude-haiku-4-5-20251001(agents and graph) - Qwen (DashScope) — default models:
qwen3-max(agents),qwen3-vl-plus(graph)
Two interfaces
- Web interface — Flask application at
http://127.0.0.1:5000with real-time market data from Yahoo Finance, interactive asset and timeframe selection, and in-browser API key management - Python API — Import
TradingGraphdirectly for programmatic use in your own scripts or notebooks
Get started
Quick start
Create your environment, install dependencies, and run your first analysis in minutes.
Installation
Detailed setup for conda, pip, TA-Lib, and all three LLM providers.
Web interface
Use the Flask web app to analyze live market data with no code required.
Programmatic usage
Import
TradingGraph to run analyses directly from Python.