by jackson-cmd
AI trading agents for US stocks with news backtesting that can't see the future: a point-in-time 2026 dataset (prices, VIX, news), a look-ahead check on every run, LLM agents over MCP, FOMC/CPI/VIX-aware regimes, and paper/live trading on 10 brokers. 风险感知美股交易智能体 · 新闻回测
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# Add to your Claude Code skills
git clone https://github.com/jackson-cmd/risk-aware-trading-agentsGuides for using ai agents skills like risk-aware-trading-agents.
See how risk-aware-trading-agents compares with popular alternatives.
Buy when others are afraid · keep 30% in cash · never panic-sell
📊 2026 backtest with news: +15.9% vs SPY +12.1% · max drawdown -5.3% vs -8.9% · Sharpe 1.70 vs 0.77 · details
🔬 News backtesting without look-ahead bias: a point-in-time 2026 dataset (prices, VIX, 16,945 headlines and SEC filings) ships with the package, every run gets a look-ahead check, and LLM trading agents can be tested step by step over MCP · research kit
中文说明 → README_zh.md · Website · What's new · Screenshots · Quick start · Paper agents · MCP · Strategy lab · Strategy library · Brokers · Changelog
pip install "risk-aware-trading-agents[dashboard,mcp] @ git+https://github.com/jackson-cmd/risk-aware-trading-agents"
riskaware dashboard # the web UI on http://localhost:8501, English and 中文
ghcr.io/jackson-cmd/risk-aware-trading-agents without installing Python, or open the repository in GitHub Codespaces with everything installed. How →riskaware backtest --news works with nothing to download. The agent with news made +15.9% against SPY's +12.1%, with a -5.3% drawdown against -8.9%. Results →--llm claude-cli, codex-cli or gemini-cli. How →riskaware mcp-setup claude-desktop (or claude-code, codex, gemini, antigravity). Set it up →The full history is in the changelog.
Every page of the dashboard (riskaware dashboard), in English and 中文. Click a picture to open it full size.
Most trading bots either chase every signal or need a quant team to configure. This one follows a simple, explainable discipline that long-term investors already use: buy quality stocks when they pull back to their moving averages, add when fear is high and the earnings still hold up, trim when prices run too far, never panic-sell into uncertainty, and always keep a cash reserve. Four agents check the market, the calendar, the company and the news; a deterministic risk manager has the final word on every order.
Not financial advice. It starts in paper mode, and live trading needs three explicit switches.
risk-aware-trading-agents is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by jackson-cmd. AI trading agents for US stocks with news backtesting that can't see the future: a point-in-time 2026 dataset (prices, VIX, news), a look-ahead check on every run, LLM agents over MCP, FOMC/CPI/VIX-aware regimes, and paper/live trading on 10 brokers. 风险感知美股交易智能体 · 新闻回测. It has 51 GitHub stars.
risk-aware-trading-agents's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/jackson-cmd/risk-aware-trading-agents" and add it to your Claude Code skills directory (see the Installation section above).
risk-aware-trading-agents is primarily written in Python. It is open-source under jackson-cmd on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh risk-aware-trading-agents against similar tools.
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