Files
gmgn-skills/docs/workflow-market-opportunities.md
T
gumponchain c2799c73d1 docs: add 7 workflow docs and update skill/readme cross-references
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>
2026-03-29 01:15:22 +08:00

1.9 KiB

Discover Trading Opportunities via Trending — Workflow

Use this workflow to surface high-potential tokens from trending data.

Fetch a broad pool with safe filters:

gmgn-cli market trending \
  --chain <chain> --interval 1h \
  --order-by volume --limit 50 \
  --filter not_honeypot --filter has_social --raw

Step 2 — AI multi-factor analysis

Analyze each record in the response using the following signals (apply judgment, not rigid rules):

Signal Field(s) Weight Notes
Smart money interest smart_degen_count, renowned_count High Key conviction indicator
Bluechip ownership bluechip_owner_percentage Medium Quality of holder base
Real trading activity volume, swaps Medium Distinguishes genuine interest from wash trading
Price momentum change1h, change5m Medium Prefer positive, non-parabolic moves
Pool safety liquidity Medium Low liquidity = high slippage risk
Token maturity creation_timestamp Low Avoid tokens less than ~1h old unless other signals are very strong

Select the top 5 tokens with the best composite profile. Prefer tokens that perform well across multiple signals rather than excelling in just one.

Step 3 — Present top 5 to user

Present results as a concise table, then give a one-line rationale for each pick:

Top 5 Trending Tokens — SOL / 1h

# | Symbol | Address (short) | Smart Degens | Volume | 1h Chg | Reasoning
1 | ...     | ...             | ...          | ...    | ...    | Smart money accumulating + high volume
2 | ...
...

Step 4 — Follow-up actions

For each token, offer:

  • Deep dive: run full token research workflow — see workflow-token-research.md
  • Swap: execute directly if the user is satisfied with the trending data alone