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- regimedesk
regimedesk
Deterministic market regime classification and risk-gated trend-following signal proposals via CLI.
$15
Works with the AI Agents you already use
regimedesk
Example session with this skill installed
Run a technical brief for EURUSD using tests/fixtures/uptrend.csv with a 10000 balance. Check if the regime is bullish and if a signal proposal is valid.
- Read your context and instructions
- Compiled the regimedesk
I have processed the technical brief for EURUSD. The analysis confirms a bullish trend regime with a valid signal proposal that passes all RiskManager constraints.
Technical Brief: EURUSD
| Metric | Value | Reasoning / Status |
|---|---|---|
| Regime | bullish_trend | EMA 20, 50, and 200 slopes are all rising; r2 = 0.88 |
| RSI (14) | 62.45 | Strong bullish momentum, not yet overbought |
| ATR (14) | 0.0012 | Standard volatility range for fixture data |
| Signal Weight | 0.72 | MA (0.5), TSMOM (0.3), Donchian (0.2) combined |
| Proposal | LONG | Signal weight >= 0.4 and trend strength >= 0.30 |
| Entry Price | 1.0850 | Last recorded close in CSV |
| Stop-Loss | 1.0814 | Chandelier Stop (3.0 x ATR) |
| Position Size | 2,777 units | 1.0% risk on 10,000 balance |
| Risk Veto | PASSED | Within daily trade limits and max risk pct |
Next steps
- Review the proposed 1.0814 stop-loss against recent support levels.
- Manually define a take-profit target as the engine does not provide exit points.
- Use
bin/regimedesk risk-checkif you modify the entry or stop-loss parameters.
Connects securely to your tools. The creator never sees your data.
About this skill
Classify market regimes and generate trend-following signal proposals with strict risk management in code — deterministic regime rules, EMA/RSI/ATR math and the RiskManager veto. Analysis only: no execution, no broker, no live data pipeline. Includes the regime engine, risk manager, position sizing and risk_limits.yaml with the source values verbatim. Experimental / educational — not financial advice, no returns promised. The source repo stays free on GitHub.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Trading & Investing.
Requires CSV input with 210+ bars. No execution or broker adapters included. No take-profit targets generated. Offline analysis only. Synthetic fixtures used for testing.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
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- Software
Python