This repository contains our solution to Task 1 of the FinRL Contest 2025: developing a high-performance crypto trading agent using reinforcement learning and LLM-derived market signals.
# LARSA: LLM-Augmented Regime-Switching Agent [](https://github.com/mattbusel/FinRL_DeepSeek_Crypto_Trading/actions/workflows/ci.yml) [](https://www.python.org/downloads/) [](LICENSE) [](https://docs.astral.sh/ruff/) [](https://mypy.readthedocs.io/) --- > **DISCLAIMER: LARSA is experimental research software. It is NOT financial advice. Crypto trading carries substantial risk of loss. Never deploy real capital without fully understanding the system, the risks, and the applicable laws in your jurisdiction. Always start with dry-run or paper trading mode. Past simulated performance does not guarantee future results.** --- ## What is LARSA? LARSA (LLM-Augmented Regime-Switching Agent) is a hybrid reinforcement learning and large language model trading system for crypto assets. It extracts structured sentiment and risk signals from BTC news via the DeepSeek V3 API, mines predictive factors with a recurrent neural network trained on Alpha101 features, trains an ensemble of three DQN-family agents (D3QN, DoubleDQN, TwinD3QN) that vote on trade decisions, and dynamically shifts ensemble weights based on a detected market regime (bull, bear, sideways, volatile). The system supports single-asset BTC trading, multi-asset crypto portfolios, live paper trading on Binance price feeds, production-safe live trading via the Live Trading Bridge, per-trade explainability reports, and automated hyperparameter search. Round 2 additions extend LARSA with a multi-agent LLM debate layer, alternative data feeds, a continuous online learning pipeline, and advanced portfolio optimisation strategies —
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型