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- 5 analysis skills: trade-analyze (orchestrator), market-analysis, fundamental-analysis, sentiment-analysis, macro-analysis - 4 debate agent personas (SOUL.md): invest-bull, invest-bear, invest-hawk, invest-dove - 5 agent operating instructions (AGENTS.md) including invest-analyst - Deploy script for pushing to remote OpenClaw server - Uses sessions_spawn for non-blocking agent delegation - invest-analyst collects data via API, spawns debate agents, synthesizes final BUY/SELL/HOLD verdict
141 lines
4.0 KiB
Markdown
141 lines
4.0 KiB
Markdown
---
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name: trade-analyze
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description: "Deep trading analysis with multi-agent debate. Use sessions_spawn to delegate to invest-bull, invest-bear, invest-hawk, invest-dove. Triggered by /trade-analyze or deep analysis requests."
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user-invocable: true
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metadata: { "openclaw": { "emoji": "⚖️", "requires": { "bins": ["curl"] } } }
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---
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# Trade Analysis — Multi-Agent Debate Pipeline
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**You are the judge. Debate agents work in the background via sessions_spawn. Only YOU post to Discord.**
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**IMPORTANT: Use `sessions_spawn` (NOT sessions_send). sessions_send will timeout due to gateway architecture.**
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## Step 1: Collect Data
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Run these curl commands using the `exec` tool:
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```bash
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curl -sk "https://invest-api.k8s.home/api/v1/stock/{TICKER}/technical"
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curl -sk "https://invest-api.k8s.home/api/v1/stock/{TICKER}/metrics"
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curl -sk "https://invest-api.k8s.home/api/v1/stock/{TICKER}/sentiment"
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curl -sk "https://invest-api.k8s.home/api/v1/macro/overview"
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```
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Summarize key data points (under 500 words).
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## Step 2: Bull Case
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Use the `sessions_spawn` tool:
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```json
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{
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"task": "You are the Bull Researcher. Based on the following data for {TICKER}, build your bullish investment thesis with 3-5 specific data-backed arguments. Keep under 400 words.\n\nData:\n{data summary}",
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"agentId": "invest-bull",
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"label": "bull-{TICKER}"
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}
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```
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sessions_spawn returns immediately with `{ status: "accepted", runId }`. The result will be announced back to you automatically when Bull finishes. **Wait for the announce before proceeding.**
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## Step 3: Bear Case
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After receiving Bull's result, use `sessions_spawn`:
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```json
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{
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"task": "You are the Bear Researcher. For {TICKER}, Bull argued:\n\n{Bull's argument}\n\nBuild your bearish counter-argument with 3-5 specific data-backed points. Keep under 400 words.",
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"agentId": "invest-bear",
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"label": "bear-{TICKER}"
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}
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```
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Wait for Bear's announce.
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## Step 4: Bull Rebuttal (FINAL)
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```json
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{
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"task": "You are the Bull Researcher. Bear responded:\n\n{Bear's argument}\n\nThis is your FINAL rebuttal. Counter Bear's strongest point. Keep under 300 words.",
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"agentId": "invest-bull",
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"label": "bull-final-{TICKER}"
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}
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```
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**STOP Bull/Bear debate after this. Maximum 3 spawns for Bull/Bear.**
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## Step 5: Hawk Risk
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Formulate a trading proposal, then:
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```json
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{
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"task": "You are the Hawk (aggressive) Risk Analyst. Evaluate this {TICKER} trading proposal. Propose position size, entry, stop-loss with specific numbers.\n\nProposal: {direction, entry, stop, target}",
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"agentId": "invest-hawk",
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"label": "hawk-{TICKER}"
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}
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```
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## Step 6: Dove Risk
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```json
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{
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"task": "You are the Dove (conservative) Risk Analyst. Hawk proposed:\n\n{Hawk response}\n\nEvaluate from capital preservation perspective. Propose safer sizing.\n\nKeep under 300 words.",
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"agentId": "invest-dove",
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"label": "dove-{TICKER}"
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}
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```
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## Step 7: Final Verdict (ONLY output to Discord)
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After all spawns complete, synthesize and output:
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```
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# ⚖️ Trading Verdict: {TICKER}
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## Decision: [BUY / SELL / HOLD]
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## Confidence: {1-10}/10
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### Summary
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{2-3 sentences}
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### Entry Plan
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| Item | Value |
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|------|-------|
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| Action | BUY/SELL/HOLD |
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| Entry | ${price} |
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| Stop-loss | ${price} ({%} risk) |
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| Target | ${price} ({%} upside) |
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| Position | {%} of portfolio |
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### 🐂 Bull Case
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1. {point}
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2. {point}
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3. {point}
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### 🐻 Bear Case
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1. {point}
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2. {point}
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3. {point}
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### Risk Assessment
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| Analyst | Position | Stop | View |
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|---------|----------|------|------|
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| 🦅 Hawk | {%} | ${} | {line} |
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| 🕊️ Dove | {%} | ${} | {line} |
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| **Final** | **{%}** | **${}** | **{why}** |
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```
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## Step 8: Save to Memory
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Write decision to today's memory log.
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## Rules
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1. **Use `sessions_spawn`** with `agentId` — NOT sessions_send (it will timeout)
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2. **Wait for each announce** before spawning the next agent
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3. **Only YOU post to Discord** — spawn agents are silent
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4. **Max spawns**: Bull(2) + Bear(1) + Hawk(1) + Dove(1) = 5 total
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5. If spawn times out, skip and continue
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6. **Never use @ mentions**
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