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gumponchain
c2799c73d1
New workflow docs: - workflow-token-research.md — pre-buy token due diligence - workflow-wallet-analysis.md — wallet quality assessment - workflow-smart-money-profile.md — trading style analysis and copy-trade ROI estimate - workflow-risk-warning.md — active risk monitoring (whale exit, liquidity, dev dump) - workflow-early-project-screening.md — new launchpad token screening - workflow-daily-brief.md — daily market overview - workflow-project-deep-report.md — comprehensive token analysis with scored dimensions Renamed docs for consistent workflow- prefix naming: - market-discover-opportunities.md → workflow-market-opportunities.md - token-due-diligence.md → workflow-token-due-diligence.md Updated SKILL.md files (portfolio, track, token, market, swap) with workflow cross-reference links at relevant trigger points. Updated CLAUDE.md quick decision table and workflow docs index. Added Workflow Docs section to Readme.md and Readme.zh.md. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
49 lines
1.9 KiB
Markdown
49 lines
1.9 KiB
Markdown
# Discover Trading Opportunities via Trending — Workflow
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Use this workflow to surface high-potential tokens from trending data.
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## Step 1 — Fetch trending data
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Fetch a broad pool with safe filters:
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```bash
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gmgn-cli market trending \
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--chain <chain> --interval 1h \
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--order-by volume --limit 50 \
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--filter not_honeypot --filter has_social --raw
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```
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## Step 2 — AI multi-factor analysis
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Analyze each record in the response using the following signals (apply judgment, not rigid rules):
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| Signal | Field(s) | Weight | Notes |
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|--------|----------|--------|-------|
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| Smart money interest | `smart_degen_count`, `renowned_count` | High | Key conviction indicator |
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| Bluechip ownership | `bluechip_owner_percentage` | Medium | Quality of holder base |
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| Real trading activity | `volume`, `swaps` | Medium | Distinguishes genuine interest from wash trading |
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| Price momentum | `change1h`, `change5m` | Medium | Prefer positive, non-parabolic moves |
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| Pool safety | `liquidity` | Medium | Low liquidity = high slippage risk |
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| Token maturity | `creation_timestamp` | Low | Avoid tokens less than ~1h old unless other signals are very strong |
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Select the **top 5** tokens with the best composite profile. Prefer tokens that perform well across multiple signals rather than excelling in just one.
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## Step 3 — Present top 5 to user
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Present results as a concise table, then give a one-line rationale for each pick:
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```
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Top 5 Trending Tokens — SOL / 1h
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# | Symbol | Address (short) | Smart Degens | Volume | 1h Chg | Reasoning
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1 | ... | ... | ... | ... | ... | Smart money accumulating + high volume
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2 | ...
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...
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```
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## Step 4 — Follow-up actions
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For each token, offer:
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- **Deep dive**: run full token research workflow — see [workflow-token-research.md](workflow-token-research.md)
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- **Swap**: execute directly if the user is satisfied with the trending data alone
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