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>
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Wallet Analysis — Full Workflow
When a user provides a wallet address and wants to know the wallet's investment style, track record, and whether it's worth following.
Step 1 — Current Holdings
gmgn-cli portfolio holdings --chain <chain> --wallet <address> \
--order-by usd_value --direction desc --limit 50
Check: what tokens they hold, position sizes, usd_value, unrealized_profit distribution, profit_change per position. A wallet holding many positions with strong unrealized gains is still in accumulation mode.
Step 2 — Trading Stats
gmgn-cli portfolio stats --chain <chain> --wallet <address> --period 30d
Key metrics:
winrate— ratio of profitable trades (0–1); > 0.6 is strongrealized_profit— total USD profit locked in over 30 dayspnl— profit/loss ratio =realized_profit / total_cost;2.0= doubled moneybuy_count/sell_count— trading frequency and style
Step 3 — Recent Activity
gmgn-cli portfolio activity --chain <chain> --wallet <address> --limit 50
Look for:
- Trading frequency (multiple trades per day = active trader)
- Average holding duration: compare
last_active_timestampof buy vs sell events for the same token - Token diversity: does the wallet trade many different tokens or focus on a few?
- Position sizing patterns: are buys consistent size or highly variable?
Step 4 — If Wallet Is Followed on GMGN
If the user has followed this wallet on the GMGN platform:
Requires
GMGN_PRIVATE_KEYin.env—track follow-walletuses signature auth. If the key is not configured, skip this step and note it in the conclusion.
gmgn-cli track follow-wallet --chain <chain> --wallet <address>
Shows real-time trade feed for this wallet. Check is_open_or_close (1 = full position open/close, 0 = partial) and price_change (how well past trades aged).
Step 5 — Deep Dive: Evaluate Their Top Holdings
For the top 3–5 holdings by usd_value, run the full token research workflow to verify the quality of what this wallet holds.
→ See docs/workflow-token-research.md for the full 5-step token analysis.
Conclusion Framework
After completing all steps, output a wallet profile:
Wallet Analysis: {short_address}
Chain: {chain} | Period: 30d
─── Performance ────────────────────────────
Win Rate: {winrate × 100}%
Realized P&L: ${realized_profit}
PnL Ratio: {pnl}x
Trades: {buy_count} buys / {sell_count} sells
─── Style ──────────────────────────────────
Trading Style: Day trader / Swing trader / Holder
(Day trader: many trades/day; Swing: holds days–weeks; Holder: few sells)
Token Focus: Meme / DeFi / Mixed / Specific sector
─── Current Positions ──────────────────────
Top holdings by value: {token1}, {token2}, {token3}
Open unrealized P&L: ${total_unrealized}
─── Smart Money Score ──────────────────────
Are their picks confirmed by other smart money? (check smart_degen_count on top holdings)
─── Verdict ────────────────────────────────
🟢 Worth following — strong win rate + consistent P&L + smart money overlap
🟡 Watch first — promising stats but limited data or inconsistent style
🔴 Not recommended — low win rate, losses, or high-risk behavior patterns
Related Workflows
workflow-smart-money-profile.md— deeper behavior analysis: trading style, take-profit/stop-loss patterns, copy-trade ROI estimate, and leaderboard comparison