Y-Research-SBU/QuantHarness
Official Repository for QuantHarness observed · 2026-08-28
Health v2 · maintenance only
62/100
- Activity 98
- Release rhythm 35
- Longevity 30
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 420
- days_rel: n/a
- days_push: 15
- n_releases_24m: 0
Adoption not part of the score
2839 stars · 612 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
QuantHarness is a multi-agent LLM framework for high-frequency trading analysis, built on LangChain and LangGraph. Specialized agents compute technical indicators, recognize chart patterns, and analyze trends from price data, with both a web interface and programmatic API.
Use cases
- analyze stock price charts with LLM agents
- compute technical indicators like RSI and MACD from OHLC data
- detect chart patterns in K-line data
- build multi-agent trading analysis pipelines
- research price-driven LLM agents for trading
- get plain-language trend analysis of market data
When to choose
- you want LLM-driven technical analysis of price data
- you're researching multi-agent systems for financial markets
- you need indicator, pattern, and trend agents orchestrated with LangGraph
When to avoid
- you need production algorithmic trading execution or low-latency order routing
- you want a battle-tested commercial trading platform
- you need backtesting with historical data at scale
Facets
framework · maturity active
agent-framework llm-inference machine-learning trading data-visualization artificial-intelligence large-language-models fintech data-visualization python cross-platform multi-agent high-frequency-trading langchain langgraph technical-analysis k-line research-paper ai-agents
1 source
- readme: https://github.com/Y-Research-SBU/QuantHarness · fetched 2026-08-28 · cdd10da1a0af
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Y-Research-SBU/QuantHarness | main | 62 |
For agents
markdown · JSON · MCP: product_card(name="Y-Research-SBU/QuantHarness")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem