Open‑source HFT LLM emerges
QuantAgent — an open‑source, multi‑agent LLM from academic groups — was posted as a proof‑of‑concept for HFT workflows that analyze markets and output trades with stops, sparking debate about automation and market microstructure risk. The repo/announcement frames multi‑agent setups as a way to prototype real‑time decision loops, though practical deployment and latency concerns remain unresolved in the thread. (x.com)
Paper authors are Fei Xiong, Xiang Zhang, Aosong Feng, Siqi Sun and Chenyu You; the paper was submitted to arXiv on September 12, 2025 and revised on September 27, 2025. (arxiv.org) The official GitHub repository lists roughly 1.4k stars, 309 forks, an MIT license and over 120 commits as of the latest view, indicating rapid community uptake. (github.com/Y-Research-SBU/QuantAgent) The README specifies a four-agent architecture—Indicator, Pattern, Trend and Risk—and documents that the Indicator agent computes five technical indicators including RSI, MACD and the Stochastic Oscillator on incoming K-line (OHLC) data. (github.com/Y-Research-SBU/QuantAgent/blob/main/README.md) Code-level descriptions show a Decision Agent that synthesizes agent outputs and returns explicit trade directives with LONG/SHORT recommendations plus concrete entry, exit and stop‑loss values. (github.com/Y-Research-SBU/QuantAgent/blob/main/decision_agent.py) The authors report benchmark experiments across nine instruments, including Bitcoin and Nasdaq futures, and claim improved predictive accuracy at 1‑hour and 4‑hour intervals—timeframes that are materially different from the sub-second latencies used in professional HFT. (arxiv.org) Implementation notes and the project webpage call out LangChain and LangGraph as part of the stack and a Flask-based web interface for live analysis and programmatic access. (github.com/Y-Research-SBU/QuantAgent) The repository contains a benchmark directory and example backtesting scripts rather than dedicated low-latency execution components, signaling a research/proof‑of‑concept posture rather than a turnkey production HFT system. (github.com/Y-Research-SBU/QuantAgent/tree/main/benchmark) Multiple third‑party forks and ports appeared quickly (for example rlancaster243/Quant_Agent and ahmed-el-halawani/quantagent), reflecting active experimentation and community-driven adaptations of the original codebase. (github.com/rlancaster243/Quant_Agent) (github.com/ahmed-el-halawani/quantagent)
