菜单
Guides AI4Finance FinRL-Trading (FinRL-X) modular quant infrastructure with weight-centric strategy pipeline, bt backtesting, and Alpaca live execution. Use for production-oriented quant layering, portfolio weights, or DRL/LLM-ready strategy modules in ION DEX backend design.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Public stub — full GitHub daily discovery Skill lives in ion-private-core (CONFIDENTIAL). Use for 全品类开发流程 GitHub 高星发现（AI/MCP/Web3/前端/测试/视频/量化/CI/CD/数据库/K8s 等），每类 Top5 榜、DEX curated 全量存根、vendor 浅克隆。
Guides 51bitquant ai-hedge-fund-crypto LangGraph DAG workflow with multi-timeframe technical ensemble and LLM portfolio decisions for cryptocurrency. Use for crypto-specific agent graphs, strategy ensembling, or ION DEX AI trading research modules.
Enforces Chinese as the default language for ION DEX planning, development, testing, audit reports, delivery summaries, and user communication. Use for all ION DEX work unless the user explicitly requests another language.
Uses Claude-Flow/RuFlo 3.7.0-alpha.35 as a controlled AI agent orchestration accelerator for planning, multi-agent decomposition, swarm experiments, MCP diagnostics, memory workflows, and code analysis. Use when the user mentions Claude-Flow, RuFlo, 98 AI agents, swarm, hive-mind, autopilot, or agent orchestration.
Applies Cursor official-documentation workflows to ION DEX development. Use proactively for every development, verification, review, debugging, workflow, or tooling task to choose the right Cursor mode, Agent Review/Bugbot path, Rules/Skills/MCP/Hooks strategy, Cloud Agent/CLI/SDK automation, safety controls, and verification plan.
Finds, lists, and inspects available Cursor Agent Skills in project and user skill directories. Use when the user asks what skills exist, wants a skill installed, wants to locate a workflow, or when the agent needs to choose the right skill before acting.
| name | finrl-trading |
| description | Guides AI4Finance FinRL-Trading (FinRL-X) modular quant infrastructure with weight-centric strategy pipeline, bt backtesting, and Alpaca live execution. Use for production-oriented quant layering, portfolio weights, or DRL/LLM-ready strategy modules in ION DEX backend design. |
仓库: https://github.com/AI4Finance-Foundation/FinRL-Trading
论文: FinRL-X arXiv:2603.21330
前身: https://github.com/AI4Finance-Foundation/FinRL（教育/ DRL 单体，新项目优先 FinRL-X）
| 层 | 职责 |
|---|---|
| Data | Yahoo / FMP / WRDS 等统一数据 |
| Strategy | 选股、配置、择时、风险 overlay → 目标权重 |
| Backtest | bt 引擎、基准、交易成本 |
| Execution | 券商适配、paper/live、风控检查 |
git clone https://github.com/AI4Finance-Foundation/FinRL-Trading.git
cd FinRL-Trading
# 按 README 配置 .env 与 Pydantic settings
ion-data-backend + 安全审计。详见 references.md.