enhance skill

This commit is contained in:
Jiujiu Pan
2026-08-20 11:31:39 +08:00
parent b2df38d836
commit 990fc44556
2 changed files with 339 additions and 840 deletions
+49 -727
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@@ -27,727 +27,13 @@ python3 ~/.claude/skills/gmgn-holder-analysis/analyze.py <FILL_IN_TOKEN_ADDRESS>
After the script finishes, paste the complete stdout verbatim into your reply — every line, every section, nothing omitted or summarized. Do NOT add any introduction, commentary, or summary before or after the output block.
<!-- legacy inline script kept below for reference — DO NOT run this block -->
<!--
```python
python3 << 'PYEOF'
import json, subprocess, time
from collections import defaultdict
from concurrent.futures import ThreadPoolExecutor
TOKEN_ADDR = "<FILL_IN_TOKEN_ADDRESS>"
CHAIN = "<FILL_IN_CHAIN>"
LANG = "<FILL_IN_LANG>" # 'zh' or 'en'
WINDOW = 1800
now_ts = int(time.time())
ZH = (LANG == 'zh')
def _(zh, en): return zh if ZH else en
def run_cli(args, timeout=30):
r = subprocess.run(['gmgn-cli'] + args + ['--raw'],
capture_output=True, text=True, timeout=timeout)
if r.returncode != 0:
raise RuntimeError(r.stderr)
return json.loads(r.stdout)
# Fetch holders and devs in parallel, then created-tokens after extracting creator
with ThreadPoolExecutor(max_workers=2) as ex:
f_holders = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--limit', '100'])
f_devs = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--tag', 'dev', '--limit', '20'])
holders = f_holders.result()['list']
devs = f_devs.result()['list']
_creator_tmp = next((d for d in devs if 'creator' in (d.get('maker_token_tags') or [])), None)
created_data = None
if _creator_tmp:
try:
created_data = run_cli(['portfolio', 'created-tokens', '--chain', CHAIN,
'--wallet', _creator_tmp['address'],
'--order-by', 'market_cap', '--direction', 'desc'])
except: pass
# ── Wallet classification ────────────────────────────────
# addr_type: 0=normal, 1=burn, 2=DEX/pool
normal = [h for h in holders if h.get('addr_type', 0) == 0]
burn = [h for h in holders if h.get('addr_type', 0) == 1]
dex = [h for h in holders if h.get('addr_type', 0) == 2]
# ── Helpers ──────────────────────────────────────────────
def pct(v): return v * 100
def usd(v):
if v is None: return "$0"
if abs(v) >= 1_000_000: return f"${v/1_000_000:.2f}M"
if abs(v) >= 1_000: return f"${v/1_000:.1f}K"
return f"${v:.0f}"
def fmt_amt(v):
if v >= 1_000_000: return f"{v/1_000_000:.1f}M"
if v >= 1_000: return f"{v/1_000:.0f}K"
return f"{v:.0f}"
def age_label(entry_ts):
secs = now_ts - entry_ts
days = secs // 86400
hours = secs // 3600
if ZH: return f"{hours}小时前入场" if days == 0 else f"{days}天前入场"
else: return f"{hours}h ago" if days == 0 else f"{days}d ago"
def addr_short(addr):
return f"{addr[:4]}...{addr[-4:]}"
# ── Price / MC ───────────────────────────────────────────
supply_list = [h['balance']/h['amount_percentage'] for h in normal
if h.get('amount_percentage',0)>0 and h.get('balance',0)>0]
total_supply = sorted(supply_list)[len(supply_list)//2] if supply_list else 1_000_000_000
price_list = [h['usd_value']/h['balance'] for h in normal
if h.get('balance',0)>0 and h.get('usd_value',0)>0]
cur_price = sorted(price_list)[len(price_list)//2] if price_list else 0
cur_mc = total_supply * cur_price
burn_pct = sum(h['amount_percentage'] for h in burn)
dex_pct = sum(h['amount_percentage'] for h in dex)
top10 = sum(h['amount_percentage'] for h in holders[:10])
top20 = sum(h['amount_percentage'] for h in holders[:20])
# ── Risk wallets ─────────────────────────────────────────
# maker_token_tags: bundler, rat_trader, sniper, whale, top_holder, transfer_in, dev_team, creator
# tags: smart_degen, pump_smart, renowned, fresh_wallet, wash_trader, fomo, kol
airdrop = [h for h in normal if h.get('buy_tx_count_cur', 0)==0 and h.get('balance', 0)>0]
bundlers = [h for h in normal if 'bundler' in (h.get('maker_token_tags') or [])]
rats = [h for h in normal if 'rat_trader' in (h.get('maker_token_tags') or [])]
snipers = [h for h in normal if 'sniper' in (h.get('maker_token_tags') or [])]
fresh = [h for h in normal if 'fresh_wallet' in (h.get('tags') or [])]
wash = [h for h in normal if 'wash_trader' in (h.get('tags') or [])]
risk_all = set(h['address'] for g in [bundlers, rats, snipers, fresh, wash] for h in g)
risk_pct = sum(h['amount_percentage'] for h in normal if h['address'] in risk_all)
airdrop_pct = sum(h['amount_percentage'] for h in airdrop)
rats_pct = sum(h['amount_percentage'] for h in rats)
# ── Healthy chip ratio ───────────────────────────────────
normal_pct = sum(h['amount_percentage'] for h in normal)
all_bad = set(h['address'] for h in airdrop) | risk_all
bad_pct = sum(h['amount_percentage'] for h in normal if h['address'] in all_bad)
healthy_pct = max(normal_pct - bad_pct, 0)
healthy_ratio = (healthy_pct / normal_pct) if normal_pct > 0 else 0
# ── Related wallets ──────────────────────────────────────
from_map = defaultdict(list)
for h in normal:
fa = (h.get('native_transfer') or {}).get('from_address', '')
if fa: from_map[fa].append(h)
same_src_groups = sorted([(fa, ws) for fa, ws in from_map.items() if len(ws)>=2], key=lambda x: -len(x[1]))
same_src_wallets = sum(len(ws) for __,ws in same_src_groups)
same_src_pct = sum(h['amount_percentage'] for __,ws in same_src_groups for h in ws)
funded = [((h.get('native_transfer') or {}).get('timestamp',0), h)
for h in normal if (h.get('native_transfer') or {}).get('timestamp',0)]
bucket = defaultdict(list)
for ts, h in funded:
bucket[(ts//WINDOW)*WINDOW].append(h)
win_groups = sorted([(k,v) for k,v in bucket.items() if len(v)>=2], key=lambda x: -len(x[1]))
win_pct = sum(h['amount_percentage'] for __,v in win_groups for h in v)
related = set()
for __,ws in same_src_groups:
for h in ws: related.add(h['address'])
for __,v in win_groups:
for h in v: related.add(h['address'])
related_pct = sum(h['amount_percentage'] for h in normal if h['address'] in related)
related_usd = sum(h.get('usd_value',0) for h in normal if h['address'] in related)
# ── Quality signals ──────────────────────────────────────
smart = [h for h in normal if any(t in (h.get('tags') or []) for t in ['smart_degen','pump_smart'])]
kol = [h for h in normal if 'kol' in (h.get('tags') or []) or 'renowned' in (h.get('tags') or [])]
whales = [h for h in normal if 'whale' in (h.get('maker_token_tags') or [])]
diamond = [h for h in normal if h.get('sell_tx_count_cur',0)==0 and h.get('balance',0)>0]
partial = [h for h in normal if 0<(h.get('sell_amount_percentage') or 0)<0.5]
heavy_sell = [h for h in normal if (h.get('sell_amount_percentage') or 0)>=0.5]
smart_pct = sum(h['amount_percentage'] for h in smart)
kol_pct = sum(h['amount_percentage'] for h in kol)
whale_pct = sum(h['amount_percentage'] for h in whales)
diamond_pct = sum(h['amount_percentage'] for h in diamond)
# ── Dev data ─────────────────────────────────────────────
top100_map = {h['address']: h for h in holders}
creator = next((d for d in devs if 'creator' in (d.get('maker_token_tags') or [])), None)
sub_devs = [d for d in devs if 'creator' not in (d.get('maker_token_tags') or [])]
dev_realized = sum(d.get('realized_profit') or 0 for d in devs)
dev_holding = [d for d in devs if (d.get('balance') or 0)>=1]
# ── Holding metrics ──────────────────────────────────────
valid_starts = [h['start_holding_at'] for h in holders if (h.get('start_holding_at') or 0)>0]
token_launch = min(valid_starts) if valid_starts else now_ts
durations = [now_ts-h['start_holding_at'] for h in normal
if (h.get('start_holding_at') or 0)>0 and now_ts>h['start_holding_at']]
avg_hold_days = (sum(durations)/len(durations)/86400) if durations else 0
profit_w = [h for h in normal if (h.get('profit') or 0)>0]
loss_w = [h for h in normal if (h.get('profit') or 0)<0]
trapped = [h for h in normal if (h.get('unrealized_pnl') or 0)<-0.2 and h.get('balance',0)>0]
# ── Buying power ─────────────────────────────────────────
# SOL: native_balance in lamports (1e9); EVM: in wei (1e18)
NATIVE_PRICE = 160 if CHAIN == 'sol' else (700 if CHAIN == 'bsc' else 2500)
NATIVE_DENOM = 1e9 if CHAIN == 'sol' else 1e18
def native_usd(h): return int(h.get('native_balance') or 0)/NATIVE_DENOM*NATIVE_PRICE
zero_wallets = [h for h in normal if native_usd(h)==0]
low_wallets = [h for h in normal if 0 < native_usd(h) <= 200]
mid_wallets = [h for h in normal if 200 < native_usd(h) <= 1200]
high_wallets = [h for h in normal if native_usd(h) > 1200]
zero_pct_val = sum(h['amount_percentage'] for h in zero_wallets)
low_pct_val = sum(h['amount_percentage'] for h in low_wallets)
mid_pct_val = sum(h['amount_percentage'] for h in mid_wallets)
high_pct_val = sum(h['amount_percentage'] for h in high_wallets)
high_total = sum(native_usd(h) for h in high_wallets)
total_buying_power = sum(native_usd(h) for h in normal)
# ── Wallet roles / behaviors ─────────────────────────────
ROLE_MAP = {
'rat_trader': _('老鼠仓', 'Rat Trader'),
'sniper': _('狙击', 'Sniper'),
'bundler': _('捆绑', 'Bundler'),
'whale': _('鲸鱼', 'Whale'),
'smart_degen': _('聪明钱', 'Smart'),
'pump_smart': _('聪明钱', 'Smart'),
'renowned': 'KOL',
'kol': 'KOL',
'fresh_wallet': _('新钱包', 'Fresh'),
'wash_trader': _('刷量', 'Wash'),
'creator': 'Dev',
'dev_team': 'Dev',
}
def wallet_roles(h):
roles = []
for t in (h.get('maker_token_tags') or [])+(h.get('tags') or []):
if t in ROLE_MAP: roles.append(ROLE_MAP[t])
return list(dict.fromkeys(roles))
def holding_status(h):
sp = h.get('sell_amount_percentage', 0) or 0
bal = h.get('balance', 0) or 0
if bal <= 0: return _("已清仓", "Cleared")
if sp >= 0.8: return _("🔴 大量出货", "🔴 Heavy Selling")
if sp >= 0.3: return _("🟡 出货中", "🟡 Selling")
if sp > 0: return _("少量出货", "Light Selling")
return _("持仓未动", "Holding")
def wallet_behavior(h):
buy_tx = h.get('buy_tx_count_cur', 0) or 0
sell_tx = h.get('sell_tx_count_cur', 0) or 0
if buy_tx==0 and sell_tx==0: return _("几乎无链上活动", "Almost no on-chain activity")
if buy_tx>0 and sell_tx==0: return _("持续买入,尚未卖出", "Buying only, not sold yet")
if sell_tx>0 and buy_tx==0: return _("只卖不买", "Selling only")
return ""
def trend_str(wlist):
buying = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)==0]
selling = [h for h in wlist if (h.get('sell_tx_count_cur') or 0)>0 and (h.get('buy_tx_count_cur') or 0)==0]
both = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)>0]
holding = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)==0 and (h.get('sell_tx_count_cur') or 0)==0]
parts = []
if buying: parts.append(f"📈 {_('买入中', 'Buying')} {len(buying)}")
if selling: parts.append(f"📉 {_('卖出中', 'Selling')} {len(selling)}")
if both: parts.append(f"🔄 {_('买卖都有', 'Both')} {len(both)}")
if holding: parts.append(f"🤝 {_('未动', 'Holding')} {len(holding)}")
return " ".join(parts) if parts else "—"
def is_active(h): return (h.get('buy_tx_count_cur') or 0)+(h.get('sell_tx_count_cur') or 0)>0
def is_selling(h): return (h.get('sell_tx_count_cur') or 0)>0 and (h.get('balance') or 0)>=1
def is_buying_only(h): return (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)==0
# ── Rating ───────────────────────────────────────────────
biggest = max(normal, key=lambda h: h['amount_percentage']) if normal else None
dangers = []
if rats and rats_pct > 0.1:
dangers.append(_( f"老鼠仓持仓 {pct(rats_pct):.1f}%,出货即砸盘",
f"Rat traders hold {pct(rats_pct):.1f}% — instant dump risk"))
if biggest and biggest['amount_percentage'] > 0.15:
dangers.append(_( f"最大单钱包持仓 {pct(biggest['amount_percentage']):.1f}%,筹码极度集中",
f"Largest wallet holds {pct(biggest['amount_percentage']):.1f}% — extreme concentration"))
if creator:
to_out = creator.get('token_transfer_out') or {}
if (to_out.get('address') or '') in top100_map:
dangers.append(_("Dev 筹码转给内部马甲,换手控盘",
"Dev transferred chips to internal wallet — covert control"))
warns = []
if dev_holding:
hold_pct_val = sum(d.get('amount_percentage',0) for d in dev_holding)
if hold_pct_val > 0.01:
warns.append(_( f"Dev 仍持仓 {pct(hold_pct_val):.2f}%",
f"Dev still holds {pct(hold_pct_val):.2f}%"))
if airdrop_pct > 0.15:
warns.append(_( f"空降筹码 {pct(airdrop_pct):.1f}%,来源不透明",
f"Airdrop supply {pct(airdrop_pct):.1f}% — opaque origin"))
if risk_pct > 0.3:
warns.append(_( f"风险钱包持仓 {pct(risk_pct):.1f}%,筹码质量差",
f"Risk wallets hold {pct(risk_pct):.1f}% — low chip quality"))
if related_pct > 0.1:
warns.append(_( f"关联钱包 {len(related)} 个持仓 {pct(related_pct):.1f}%",
f"Linked wallets ({len(related)}) hold {pct(related_pct):.1f}%"))
if dangers:
rating_em, rating_text = "🔴", _("不建议买", "Not Recommended")
elif len(warns) >= 2:
rating_em, rating_text = "⚠️", _("谨慎参与", "Caution")
elif len(warns) == 1:
rating_em, rating_text = "🟡", _("可轻仓", "Light Position")
else:
rating_em, rating_text = "✅", _("正常参与", "Normal")
goods = []
if burn_pct > 0.05:
goods.append(_( f"销毁 {pct(burn_pct):.1f}% 永久锁仓,流通减少",
f"Burned {pct(burn_pct):.1f}% permanently — reduced supply"))
if whales:
buying_w = [h for h in whales if is_buying_only(h)]
if buying_w:
goods.append(_( f"鲸鱼 {len(buying_w)} 个持续买入,尚未出货",
f"{len(buying_w)} whale(s) still accumulating, not sold"))
if kol:
goods.append(_( f"KOL {len(kol)} 个在场({pct(kol_pct):.2f}%",
f"{len(kol)} KOL(s) holding ({pct(kol_pct):.2f}%)"))
if diamond_pct > 0.4:
goods.append(_( f"钻石手持仓 {pct(diamond_pct):.1f}%,筹码稳定",
f"Diamond hands hold {pct(diamond_pct):.1f}% — stable chips"))
exit_signals = []
if rats:
exit_signals.append(_("老鼠仓钱包出现卖出操作", "Rat trader wallets start selling"))
if dev_holding:
exit_signals.append(_("Dev 钱包开始出货", "Dev wallets start dumping"))
if airdrop_pct>0.15:
exit_signals.append(_("空降大户出现集中卖出", "Airdrop whales start concentrated selling"))
if not exit_signals:
exit_signals = [_("Top5 大户出现集中出货", "Top 5 holders start concentrated selling"),
_("价格跌破建仓均价支撑", "Price breaks below average entry cost")]
exit_signals = exit_signals[:3]
# ── Top5 pressure analysis ───────────────────────────────
top5_holders = sorted(normal, key=lambda h: -h['amount_percentage'])[:5]
def top5_pressure(h):
avg_cost = h.get('avg_cost') or 0
up_pnl = h.get('unrealized_pnl') or 0
up_usd = h.get('unrealized_profit') or 0
buy0 = h.get('buy_tx_count_cur',0)==0
roles = wallet_roles(h)
if buy0 and not roles: roles.append(_('空降', 'Airdrop'))
role_str = "["+"·".join(roles)+"] " if roles else ""
display_id = (h.get('twitter_name') or '') or addr_short(h['address'])
if buy0 or avg_cost==0:
cost_str = _("零成本(转账获得)", "Zero cost (received via transfer)")
pnl_str = "—"
lv = "⚠️ " + _("高", "High")
note = _("零成本,随时可出货", "Zero cost — can dump anytime")
elif up_pnl>1.0:
mult = up_pnl+1
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"+{up_pnl*100:.0f}% ({mult:.1f}x) {usd(up_usd)}"
lv = "⚠️ " + _("高", "High")
note = _(f"建仓MC {usd(total_supply*avg_cost)} → 现 {usd(cur_mc)},浮盈 {mult:.1f}x 压力强",
f"Entry MC {usd(total_supply*avg_cost)} → now {usd(cur_mc)}, {mult:.1f}x gain — strong pressure")
elif up_pnl>0.1:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"+{up_pnl*100:.0f}% {usd(up_usd)}"
lv = "🟡 " + _("中", "Med")
note = _("小幅浮盈,出货意愿一般", "Moderate gain — mild sell pressure")
elif up_pnl>=-0.1:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"{up_pnl*100:+.0f}% {usd(up_usd)}" if abs(up_usd)>=1 else _("接近成本", "Near cost")
lv = "🟢 " + _("低", "Low")
note = _("接近成本,短期抛压有限", "Near break-even — limited short-term pressure")
else:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"{up_pnl*100:.0f}% {usd(up_usd)}"
lv = "🟢 " + _("低", "Low")
note = _("套牢中,短期不易割肉", "Underwater — unlikely to sell soon")
beh = wallet_behavior(h)
beh_str = (" " + _("行为", "behavior") + ": " + beh) if beh else ""
return role_str, display_id, cost_str, pnl_str, lv, note, beh_str, holding_status(h)
# ══════════════════════════════════════════════════════════
# OUTPUT
# ══════════════════════════════════════════════════════════
title = _("Holder 筹码分析", "Holder Chip Analysis")
print(f"┌{'─'*56}┐")
print(f"│{(' '+title):^56}│")
print(f"│{(' '+TOKEN_ADDR[:10]+'...'+TOKEN_ADDR[-4:]+' · Top100 · '+CHAIN.upper()):^56}│")
print(f"│{(' MC '+usd(cur_mc)):^56}│")
print(f"└{'─'*56}┘")
print()
# ── Dump Risk ──
sec1 = _("🚨 砸盘风险", "🚨 Dump Risk")
print(f"━━ {sec1} {'━'*(54-len(sec1))}")
print()
c10f = "🔴" if top10>0.5 else ("🟡" if top10>0.3 else "🟢")
c20f = "🔴" if top20>0.6 else ("🟡" if top20>0.4 else "🟢")
print(f" {_('集中度', 'Concentration')} Top10 {pct(top10):.1f}% {c10f} Top20 {pct(top20):.1f}% {c20f}")
print()
if burn:
print(f" 🔥 {_('销毁地址', 'Burn addr')} {pct(burn_pct):.2f}% ✅ {_('永久锁仓,无法流通', 'Permanently locked, non-circulating')}")
print()
airf = "🔴" if airdrop_pct>0.2 else ("🟡" if airdrop_pct>0.1 else "🟢")
print(f" {_('空降筹码(从未买入、靠转账获得)', 'Airdrop (never bought, received via transfer)')} {len(airdrop)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(airdrop_pct):.2f}% {airf}")
print()
riskf = "🔴" if risk_pct>0.3 else ("🟡" if risk_pct>0.1 else "🟢")
print(f" {_('风险钱包', 'Risk wallets')} {_('合计', 'total')} {len(risk_all)} {_('个', '')} {_('持仓', 'hold')} {pct(risk_pct):.2f}% {riskf}")
risk_labels = [
(_("老鼠仓", "Rat Trader"), rats, "🚨"),
(_("捆绑交易", "Bundler"), bundlers, "⚠️"),
(_("狙击者", "Sniper"), snipers, "⚠️"),
(_("新钱包", "Fresh"), fresh, ""),
(_("刷量", "Wash"), wash, ""),
]
for label, group, flag in risk_labels:
if group:
gp = pct(sum(h['amount_percentage'] for h in group))
print(f" · {label:10s} {len(group):2d} {_('个', '')} {_('持仓', 'hold')} {gp:.2f}% {flag}")
if not any([rats,bundlers,snipers,fresh,wash]):
print(f" · {_('未发现风险标签钱包', 'No risk-tagged wallets found')} 🟢")
print()
bundler_pct_val = sum(h['amount_percentage'] for h in bundlers)
sniper_pct_val = sum(h['amount_percentage'] for h in snipers)
if dangers:
sdp_summary = f"🔴 {dangers[0]}"
elif rats_pct > 0.05:
sdp_summary = _( f"🔴 老鼠仓持仓 {pct(rats_pct):.1f}%,零成本拿的,随时可以无损砸盘",
f"🔴 Rat traders hold {pct(rats_pct):.1f}% at zero cost — can dump with no loss anytime")
elif top10 > 0.4:
sdp_summary = _( f"🟡 Top10 持仓 {pct(top10):.1f}%,筹码过于集中,大户一旦出货冲击很大",
f"🟡 Top10 hold {pct(top10):.1f}% — highly concentrated, big impact if they sell")
elif bundler_pct_val > 0.2:
sdp_summary = _( f"🟡 捆绑钱包持仓 {pct(bundler_pct_val):.1f}%,这批是开盘机器人扫货,出货时可能集中砸盘",
f"🟡 Bundlers hold {pct(bundler_pct_val):.1f}% — bot-swept at open, may dump together")
elif airdrop_pct > 0.15:
sdp_summary = _( f"🟡 空降筹码 {pct(airdrop_pct):.1f}%,这些人零成本拿到币,随时可能出货",
f"🟡 Airdrop supply {pct(airdrop_pct):.1f}% at zero cost — may sell anytime")
elif sniper_pct_val > 0.1:
sdp_summary = _( f"🟡 狙击者持仓 {pct(sniper_pct_val):.1f}%,开盘低价进的,浮盈高、随时可套现",
f"🟡 Snipers hold {pct(sniper_pct_val):.1f}% at launch price — high unrealized gain, may cash out")
elif risk_pct > 0.1:
sdp_summary = _( f"🟡 风险钱包合计持仓 {pct(risk_pct):.1f}%,需要留意动向",
f"🟡 Risk wallets total {pct(risk_pct):.1f}% — watch their moves")
elif burn_pct > 0.1:
sdp_summary = _( f"🟢 销毁了 {pct(burn_pct):.1f}%,流通筹码少,LP 也锁住了,相对干净",
f"🟢 {pct(burn_pct):.1f}% burned — reduced supply, LP locked, relatively clean")
else:
sdp_summary = _("🟢 集中度正常,没发现明显的砸盘风险",
"🟢 Normal concentration, no obvious dump risk detected")
print(f" → {_('小结', 'Summary')}{_('', ': ')}{sdp_summary}")
print()
print(f" {_('Top5 持仓钱包抛压分析', 'Top 5 Holder Sell Pressure')}")
print(f" {_('浮盈越高 / 建仓MC越低 → 获利了结压力越强', 'Higher unrealized gain / lower entry MC → stronger sell pressure')}")
print()
for i, h in enumerate(top5_holders, 1):
role_str, display_id, cost_str, pnl_str, lv, note, beh_str, st = top5_pressure(h)
hp = pct(h['amount_percentage'])
print(f" {i}. {role_str}{display_id}")
print(f" {_('持仓', 'hold')} {hp:.2f}% {cost_str} {_('盈亏', 'pnl')} {pnl_str}")
print(f" {_('抛压', 'pressure')} {lv} — {note}")
print(f" {_('状态', 'status')} {st}{beh_str}")
print()
# ── Dev Wallets ──
sec2 = _("👨‍💻 Dev 钱包", "👨‍💻 Dev Wallets")
print(f"━━ {sec2} {'━'*(54-len(sec2))}")
print()
dev_status = (_("✅ 全部余额归零", "✅ All cleared") if not dev_holding
else _(f"⚠️ 仍有 {len(dev_holding)} 个持仓中", f"⚠️ {len(dev_holding)} still holding"))
if sub_devs:
print(f" {_('共', 'Total')} {len(devs)} {_('个钱包(1 主号 + ', 'wallets (1 main + ')}{len(sub_devs)}{_(' 小号)', ' sub)')} {dev_status}")
else:
print(f" {_('共', 'Total')} {len(devs)} {_('个钱包', 'wallets')} {dev_status}")
print(f" {_('Dev 合计已实现利润', 'Dev total realized profit')} {usd(dev_realized)}")
print()
if creator:
c_sell_v = creator.get('sell_volume_cur') or 0
tf_out = creator.get('history_transfer_out_amount') or 0
tf_val = creator.get('history_transfer_out_income') or 0
sell_amt = creator.get('sell_amount_cur') or 0
hold_pct_c = creator.get('amount_percentage') or 0
c_status = (_("余额归零", "Balance zero") if (creator.get('balance') or 0)<1
else _(f"⚠️ 持仓 {pct(hold_pct_c):.2f}%", f"⚠️ Holding {pct(hold_pct_c):.2f}%"))
print(f" {_('主号 (Creator)', 'Main (Creator)')} {addr_short(creator['address'])}")
parts = [c_status]
if sell_amt>0:
parts.append(_(f"卖出 {fmt_amt(sell_amt)} 个({usd(c_sell_v)}",
f"Sold {fmt_amt(sell_amt)} ({usd(c_sell_v)})"))
if tf_out>0:
to_out = creator.get('token_transfer_out') or {}
to_addr = to_out.get('address') or ''
if to_addr and to_addr in top100_map:
parts.append(_(f"转出 {fmt_amt(tf_out)} 个至 Top100 内部钱包(估值 {usd(tf_val)}",
f"Transferred {fmt_amt(tf_out)} to Top100 internal wallet (est. {usd(tf_val)})"))
else:
parts.append(_(f"转出 {fmt_amt(tf_out)} 个至外部地址(估值 {usd(tf_val)}",
f"Transferred {fmt_amt(tf_out)} to external addr (est. {usd(tf_val)})"))
print(f" {' '.join(parts)}")
to_out = creator.get('token_transfer_out') or {}
to_addr = to_out.get('address') or ''
if to_addr and to_addr in top100_map:
target = top100_map[to_addr]
t_mtags = [t for t in (target.get('maker_token_tags') or []) if t not in ('top_holder','transfer_in')]
print(f"\n ⚠️ {_('转出筹码仍在 Top100(换马甲继续持有):', 'Transferred chips still in Top100 (sock puppet):')}")
print(f" {addr_short(to_addr)} {_('持仓', 'hold')} {pct(target.get('amount_percentage',0)):.2f}% {_('标签', 'tags')}: {' '.join(t_mtags) or _('无','none')}")
elif (creator.get('balance') or 0)<1 and tf_out==0:
print(f" ✅ {_('已完全卖出,无异常转账记录', 'Fully sold, no abnormal transfers')}")
print()
if to_addr and to_addr in top100_map:
dev_summary = _( "🔴 Dev 换马甲持仓,这个很危险,随时可以砸盘",
"🔴 Dev using sock puppet — very dangerous, can dump anytime")
elif dev_holding:
dev_summary = _( "🟡 Dev 还没出完,有出货风险,关注钱包动向",
"🟡 Dev hasn't fully exited — dump risk, watch wallet activity")
elif dev_realized > 50000:
dev_summary = _( f"🟡 Dev 已套现 {usd(dev_realized)},虽然出完了但赚了不少",
f"🟡 Dev cashed out {usd(dev_realized)} — exited but made significant profit")
else:
dev_summary = _( "🟢 Dev 已清仓,没有持仓压力",
"🟢 Dev fully exited — no holding pressure")
print(f" → {_('小结', 'Summary')}{_('', ': ')}{dev_summary}")
print()
if created_data:
all_tokens = created_data.get('tokens') or []
total_cnt = (created_data.get('inner_count') or 0)+(created_data.get('open_count') or 0)
mig_cnt = created_data.get('open_count') or 0
nonmig_cnt = created_data.get('inner_count') or 0
print(f" {_('历史发币', 'Token history')} {_('共', 'total')} {total_cnt} {_('已迁移', 'migrated')} {mig_cnt} {_('未迁移', 'unmigrated')} {nonmig_cnt}")
top3_mc = sorted(all_tokens, key=lambda t: float(t.get('market_cap') or 0), reverse=True)[:3]
if top3_mc:
print(f" {_('当前市值 Top3', 'Current MC Top3')}:")
for i, t in enumerate(top3_mc, 1):
mig_label = _('已迁移', 'migrated') if t.get('is_open') else _('未迁移', 'unmigrated')
print(f" {i}. {t.get('symbol','?')} {usd(float(t.get('market_cap') or 0))} [{mig_label}]")
ath_info = created_data.get('creator_ath_info') or {}
if ath_info and ath_info.get('ath_mc'):
is_curr = ath_info.get('ath_token','').lower()==TOKEN_ADDR.lower()
curr_label = _('(本币)', ' (this token)') if is_curr else ''
print(f" {_('历史最高市值', 'All-time high MC')}: {ath_info.get('token_name','')}({ath_info.get('token_symbol','?')}){curr_label} ATH {usd(float(ath_info.get('ath_mc') or 0))}")
print()
# ── Related Funds ──
sec3 = _("🔗 关联资金", "🔗 Related Funds")
print(f"━━ {sec3} {'━'*(54-len(sec3))}")
print()
print(f" {_('多个钱包来自同一资金来源地址,或在极短时间内同步注资', 'Multiple wallets from same funding source or funded in tight time windows')}")
print()
if related:
relf = "🔴" if related_pct>0.15 else ("🟡" if related_pct>0.05 else "🟢")
print(f" {_('涉及', 'Involves')} {len(related)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(related_pct):.2f}% {usd(related_usd)} {relf}")
print()
print(f" ├─ {_('同一资金来源地址', 'Same funding source')} {len(same_src_groups)} {_('组', 'groups')} / {same_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(same_src_pct):.2f}%")
if same_src_groups:
fa, ws = same_src_groups[0]
native_in = sum(float((w.get('native_transfer') or {}).get('amount',0) or 0) for w in ws)
native_sym = 'SOL' if CHAIN=='sol' else ('BNB' if CHAIN=='bsc' else 'ETH')
print(f" │ {_('最大组', 'Largest group')}: {len(ws)} {_('个钱包', 'wallets')} {_('同一地址先后转入启动资金', 'funded sequentially from same addr')} {native_in:.4f} {native_sym}")
print(f" │")
if win_groups:
win_total = sum(len(v) for __,v in win_groups)
if win_total>=3:
k,v = win_groups[0]
print(f" └─ {_('同期注资(30min内集中入场)', 'Coordinated funding (within 30min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}% ⚠️")
print(f" {_('最大批次', 'Largest batch')}: {len(v)} {_('个钱包', 'wallets')} {_('合计持仓', 'total hold')} {pct(sum(h['amount_percentage'] for h in v)):.3f}%")
else:
print(f" └─ {_('同期注资(30min内集中入场)', 'Coordinated funding (within 30min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}%")
else:
print(f" └─ {_('未发现同期集中注资', 'No coordinated funding detected')}")
else:
print(f" {_('未发现明显关联资金', 'No significant linked funds detected')} 🟢")
print()
# ── Quality Signals ──
sec4 = _("🧠 优质信号", "🧠 Quality Signals")
print(f"━━ {sec4} {'━'*(54-len(sec4))}")
print()
print(f" {_('聪明钱', 'Smart Money')} {len(smart):2d} {_('持仓', 'hold')} {pct(smart_pct):.2f}% {'✅' if smart else '—'}")
if smart: print(f" {_('近期动向', 'Recent')}: {trend_str(smart)}")
print(f" KOL {len(kol):2d} {_('持仓', 'hold')} {pct(kol_pct):.2f}% {'✅' if kol else '—'}")
if kol:
for h in kol:
name = h.get('twitter_name') or h.get('name') or addr_short(h['address'])
print(f" · {name} {_('持仓', 'hold')} {pct(h['amount_percentage']):.2f}% {holding_status(h)} {_('买/卖', 'buy/sell')}: {h.get('buy_tx_count_cur',0)}/{h.get('sell_tx_count_cur',0)}")
print(f" {_('鲸鱼', 'Whale')} {len(whales):2d} {_('持仓', 'hold')} {pct(whale_pct):.2f}% {'✅' if whales else '—'}")
if whales: print(f" {_('近期动向', 'Recent')}: {trend_str(whales)}")
print()
df = "✅" if diamond_pct>0.5 else ("🟡" if diamond_pct>0.3 else "⚠️")
print(f" {_('钻石手(从未卖出)', 'Diamond hands (never sold)')} {len(diamond):2d} {_('持仓', 'hold')} {pct(diamond_pct):.1f}% {df}")
print(f" {_('部分卖出(<50%)', 'Partial sell (<50%)')} {len(partial):2d} {_('大量卖出(≥50%)', 'Heavy sell (≥50%)')} {len(heavy_sell):2d}")
sig_count = len(smart) + len(kol) + len(whales)
kol_selling = [h for h in kol if (h.get('sell_tx_count_cur') or 0) > 0]
kol_holding = [h for h in kol if (h.get('sell_tx_count_cur') or 0) == 0 and (h.get('balance') or 0) >= 1]
smart_selling = [h for h in smart if (h.get('sell_tx_count_cur') or 0) > 0]
smart_holding = [h for h in smart if (h.get('sell_tx_count_cur') or 0) == 0 and (h.get('balance') or 0) >= 1]
if sig_count == 0:
sig_summary = _("🟡 没有聪明钱和KOL,这个币没什么外部背书",
"🟡 No smart money or KOL — no external endorsement")
elif kol_selling and len(kol_selling) >= max(1, len(kol)//2+1):
sig_summary = _(f"🟡 {len(kol)}个KOL里有{len(kol_selling)}个已开始卖——跟进要小心",
f"🟡 {len(kol_selling)}/{len(kol)} KOL(s) already selling — be careful following")
elif smart_selling and len(smart_selling) >= max(1, len(smart)//2+1):
sig_summary = _(f"🟡 聪明钱里有{len(smart_selling)}个已经在出货,信号在减弱",
f"🟡 {len(smart_selling)} smart money wallet(s) selling — signal weakening")
elif smart_holding:
sig_summary = _(f"🟢 {len(smart_holding)}个聪明钱一直持仓没卖,这类人通常提前判断,信号较强",
f"🟢 {len(smart_holding)} smart money wallet(s) holding firm — usually early movers, strong signal")
elif kol_holding:
sig_summary = _(f"🟢 {len(kol_holding)}个KOL全程持仓未卖,参考价值保留",
f"🟢 {len(kol_holding)} KOL(s) fully holding — signal still valid")
else:
sig_summary = _("🟢 鲸鱼在场,有大资金背书",
"🟢 Whales present — backed by large capital")
print(f" → {_('小结', 'Summary')}{_('', ': ')}{sig_summary}")
print()
# ── Entry Cost Analysis ──
sec5 = _("📈 入场成本分析", "📈 Entry Cost Analysis")
print(f"━━ {sec5} {'━'*(54-len(sec5))}")
print()
print(f" {_('当前 MC', 'Current MC')} {usd(cur_mc)}")
print()
time_clusters = defaultdict(list)
for h in normal:
sh = h.get('start_holding_at') or 0
if sh<=0: continue
time_clusters[(sh-token_launch)//86400].append(h)
sig_clusters = sorted([(age,ws) for age,ws in time_clusters.items() if len(ws)>=2],
key=lambda x: -sum(h['amount_percentage'] for h in x[1]))[:4]
for rank, (age, ws) in enumerate(sig_clusters, 1):
entry_ts = token_launch + age*86400
label = age_label(entry_ts)
total_hp = sum(h['amount_percentage'] for h in ws)
costed = [h for h in ws if (h.get('avg_cost') or 0)>0]
selling_out = [h for h in ws if holding_status(h) in (
_('🔴 大量出货','🔴 Heavy Selling'), _('🟡 出货中','🟡 Selling'))]
still_hold = [h for h in ws if (h.get('balance') or 0)>=1]
if costed:
avg_entry = sum(total_supply*h['avg_cost'] for h in costed)/len(costed)
roi = (cur_mc-avg_entry)/avg_entry*100 if avg_entry>0 else 0
mc_str = _(f"建仓MC {usd(avg_entry)} → 现 {usd(cur_mc)} ({roi:+.0f}%)",
f"Entry MC {usd(avg_entry)} → now {usd(cur_mc)} ({roi:+.0f}%)")
else:
avg_entry=0; roi=0
mc_str = _("建仓MC 未知(转账获得)", "Entry MC unknown (received via transfer)")
sell_ratio = len(selling_out)/len(still_hold) if still_hold else 0
if roi>500 and sell_ratio>0.15:
risk_flag = "🔴"
conclusion = _(f"这批人建仓时才 {usd(avg_entry)},涨了 {roi:.0f}%,现在有 {len(selling_out)} 个在卖出套现——追入容易接到他们的盘",
f"Entry at {usd(avg_entry)}, up {roi:.0f}%, {len(selling_out)} already selling — buying now means catching their exits")
elif roi>200 and sell_ratio>0.1:
risk_flag = "🟡"
conclusion = _(f"涨了 {roi:.0f}%,有 {len(selling_out)} 个开始出货,但多数还没动——注意大户下一步动向",
f"Up {roi:.0f}%, {len(selling_out)} starting to sell but most still holding — watch whale next moves")
elif roi>0:
risk_flag = "🟢"
conclusion = _(f"涨了 {roi:.0f}%,出货的人不多,短期卖压不大",
f"Up {roi:.0f}%, few selling — limited short-term pressure")
else:
risk_flag = "🟢"
conclusion = _(f"这批人目前亏着呢({roi:.0f}%),不到割肉的程度,短期不太会卖",
f"Currently down {roi:.0f}% — unlikely to sell at a loss short-term")
batch_label = _('批次', 'Batch')
print(f" {batch_label}{rank}{_('', '(')}{label}{_('', ')')} {len(ws)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(total_hp):.2f}% {risk_flag}")
print(f" {mc_str}")
print(f" ➤ {conclusion}")
print()
notable = sorted([h for h in ws if h.get('balance',0)>=1 and h['amount_percentage']>=0.002],
key=lambda h: -h['amount_percentage'])
if not notable:
notable = sorted([h for h in ws if h.get('balance',0)>=1], key=lambda h: -h['amount_percentage'])[:5]
dumping = [h for h in notable if is_selling(h)]
holding_firm = [h for h in notable if is_buying_only(h)]
silent_list = [h for h in notable if not is_active(h)]
if dumping:
print(f" 🚨 {_('出货中的大户', 'Selling whales')}")
for h in dumping[:3]:
did = (h.get('twitter_name') or '') or addr_short(h['address'])
roles = wallet_roles(h)
role_s = "["+"·".join(roles)+"] " if roles else ""
print(f" · {role_s}{did} {pct(h['amount_percentage']):.2f}% {_('浮盈','pnl')}{(h.get('unrealized_pnl') or 0)*100:+.0f}% {_('已卖','sold')} {h.get('sell_tx_count_cur') or 0}x {holding_status(h)}")
print()
if holding_firm:
print(f" 📈 {_('持续加仓/未出货', 'Still accumulating / not sold')}")
for h in holding_firm[:3]:
did = (h.get('twitter_name') or '') or addr_short(h['address'])
roles = wallet_roles(h)
role_s = "["+"·".join(roles)+"] " if roles else ""
print(f" · {role_s}{did} {pct(h['amount_percentage']):.2f}% {_('浮盈','pnl')}{(h.get('unrealized_pnl') or 0)*100:+.0f}% {_('已买','bought')} {h.get('buy_tx_count_cur') or 0}x")
print()
if silent_list:
silent_pct_val = sum(h['amount_percentage'] for h in silent_list)
buy0_cnt = sum(1 for h in silent_list if h.get('buy_tx_count_cur',0)==0)
note_str = (_("零成本空降为主", "mostly zero-cost airdrop") if buy0_cnt>len(silent_list)//2
else _("持仓未动", "holding without activity"))
print(f" 💤 {_('静默持仓', 'Silent holders')} {len(silent_list)} {pct(silent_pct_val):.2f}% → {_('抛压低,', 'low pressure, ')}{note_str}")
print()
print()
# ── Buying Power ──
sec6 = _("💰 持仓者购买力", "💰 Holder Buying Power")
print(f"━━ {sec6} {'━'*(54-len(sec6))}")
print()
print(f" {_('衡量现有持仓者还有多少子弹可以加仓', 'How much ammo holders have left to add')} {_('合计可用余额', 'Total balance')} {usd(total_buying_power)}")
print()
if zero_wallets:
print(f" ⚫ {_('零余额', 'Zero balance')} {len(zero_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(zero_pct_val):.2f}% $0 → {_('无加仓能力,可能是分仓小号', 'No buying power, likely sub-wallets')}")
if low_wallets:
low_total = sum(native_usd(h) for h in low_wallets)
print(f" 🟡 {_('低(<$200', 'Low (<$200)')} {len(low_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(low_pct_val):.2f}% {usd(low_total)}")
if mid_wallets:
mid_total = sum(native_usd(h) for h in mid_wallets)
print(f" 🟠 {_('中($200~$1200', 'Mid ($200~$1200)')} {len(mid_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(mid_pct_val):.2f}% {usd(mid_total)}")
if high_wallets:
print(f" 🔴 {_('高($1200+', 'High ($1200+)')} {len(high_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(high_pct_val):.2f}% {usd(high_total)} → {_('可随时加仓', 'can add anytime')}")
print()
if high_wallets:
print(f" ➤ {_('高余额钱包', 'High-balance wallets')} {len(high_wallets)} {_('个持仓', 'holding')} {pct(high_pct_val):.1f}%{_('', ', ')}{_('合计', 'total')} {usd(high_total)} {_('可随时加仓', 'ready to add')}")
if zero_wallets and zero_pct_val > 0.05:
print(f" ➤ {len(zero_wallets)} {_('个钱包零余额(持仓 ', 'wallets with zero balance (hold ')}{pct(zero_pct_val):.1f}%{_('', ')')}, {_('无加仓能力,可能是分仓小号', 'no buying power, likely sub-wallets')}")
print()
# ── Chip Structure ──
sec7 = _("📊 筹码结构", "📊 Chip Structure")
print(f"━━ {sec7} {'━'*(54-len(sec7))}")
print()
total_n = len(normal)
if total_n > 0:
print(f" {_('盈利', 'Profit')} {len(profit_w)} ({len(profit_w)/total_n*100:.0f}%) {_('亏损', 'Loss')} {len(loss_w)} ({len(loss_w)/total_n*100:.0f}%) {_('持平', 'Break-even')} {total_n-len(profit_w)-len(loss_w)}")
tf_flag = "⚠️" if len(trapped)>30 else ""
print(f" {_('套牢盘(浮亏>20%', 'Underwater (>20% loss)')} {len(trapped)} {_('持仓', 'hold')} {pct(sum(h['amount_percentage'] for h in trapped)):.2f}% {tf_flag}")
print(f" {_('平均持仓时长', 'Avg hold duration')} {avg_hold_days:.1f} {_('天', 'days')}")
print()
# ── AI Advice ──
sec8 = _("🤖 AI 建议", "🤖 AI Advice")
print(f"━━ {sec8} {'━'*(54-len(sec8))}")
print()
print(f" {rating_em} {rating_text}")
print()
if dangers:
print(f" {_('核心风险', 'Core Risks')}:")
for d in dangers: print(f" · {d}")
if warns:
print(f" {_('注意信号', 'Warnings')}:")
for w in warns: print(f" · {w}")
if goods:
print(f" {_('积极因素', 'Positives')}:")
for g in goods: print(f" · {g}")
hf = "🔴" if healthy_ratio<0.3 else ("🟡" if healthy_ratio<0.5 else "🟢")
print(f"\n {_('健康筹码', 'Healthy chips')} {pct(healthy_ratio):.1f}% {hf} DEX {pct(dex_pct):.1f}% {_('不纳入评估', 'excluded from eval')}")
print()
print(f" {_('关注以下信号,出现则考虑离场:', 'Watch for these exit signals:')}")
for sig in exit_signals:
print(f" · {sig}")
PYEOF
```
-->
## Field Reference
All holding percentages the script prints are **share of tradeable float** (`1 - burn - DEX`), not
share of total supply. `amount_percentage` from the API is share of total supply; the script
re-bases it. Because only the top 100 holders are fetched, every float percentage is a floor —
the footer reports what fraction of the float those 100 wallets cover.
### Holder object key fields
| Field | Type | Meaning |
@@ -760,17 +46,23 @@ PYEOF
| `unrealized_pnl` | float | Unrealized PnL ratio (0.5 = +50%) |
| `unrealized_profit` | float | Unrealized PnL in USD |
| `realized_profit` | float | Realized PnL in USD |
| `profit` | float | Total PnL in USD (realized + unrealized). Also a valid `--order-by` field. |
| `buy_tx_count_cur` | int | Buy transactions since token creation |
| `sell_tx_count_cur` | int | Sell transactions since token creation |
| `sell_amount_percentage` | float | Fraction of total buys that have been sold |
| `sell_amount_percentage` | float | Fraction of total buys that have been sold. Drives the accumulating/distributing verdict. |
| `sell_volume_cur` | float | USD volume sold since token creation |
| `sell_amount_cur` | float | Token amount sold since token creation |
| `history_transfer_out_amount` | float | Token amount transferred out (not sold) |
| `history_transfer_out_income` | float | USD value of transferred-out tokens |
| `token_transfer_out` | object | `{address}` — recipient of a transfer-out. Used to detect dev sock puppets when the recipient is itself in the top 100. |
| `name` | string | Wallet display name if known |
| `start_holding_at` | int | Unix timestamp of first buy |
| `addr_type` | int | 0=normal wallet, 1=burn/dead, 2=DEX/pool |
| `maker_token_tags` | list | `bundler`, `rat_trader`, `sniper`, `whale`, `top_holder`, `transfer_in`, `dev_team`, `creator` |
| `tags` | list | `smart_degen`, `pump_smart`, `renowned`, `fresh_wallet`, `wash_trader`, `fomo`, `kol` |
| `native_balance` | string | Raw native token balance (SOL: lamports /1e9; EVM: wei /1e18) |
| `native_transfer` | object | `{from_address, amount, timestamp}` — how wallet was funded |
| `tags` | list | `smart_degen`, `pump_smart`, `renowned`, `fresh_wallet`, `wash_trader`, `kol` |
| `native_balance` | string | Raw native token balance. May be a **decimal string** — parse with `float`, not `int`. Denominator is known only for `sol` (1e9) and `bsc`/`eth`/`base` (1e18). |
| `native_transfer` | object | `{from_address, amount, timestamp}` — how wallet was funded. Drives 关联资金. |
| `twitter_name` | string | Twitter handle if known |
| `exchange` | string | DEX name for pool wallets |
### Created-tokens response fields
@@ -779,22 +71,44 @@ PYEOF
| `inner_count` | Unmigrated token count |
| `open_count` | Migrated token count |
| `tokens[].market_cap` | Current market cap in USD |
| `tokens[].symbol` | Token symbol |
| `tokens[].is_open` | true = migrated |
| `creator_ath_info.ath_mc` | All-time high MC across all created tokens |
| `creator_ath_info.ath_token` | Token address of the ATH token |
| `creator_ath_info.token_symbol` | Symbol of the ATH token |
| `creator_ath_info.token_name` | Name of the ATH token |
## Rating Standard
All thresholds below are **share of tradeable float**, matching the script. They are not
comparable to GMGN's own UI, which reports share of total supply — on a token whose LP holds 56%
of supply, the same wallet reads 2.4× higher here.
Entry timing pressure (批次浮盈/出货) does **NOT** affect the overall rating — it only affects section display.
| Rating (ZH) | Rating (EN) | Emoji | Condition |
|-------------|-------------|-------|-----------|
| 不建议买 | Not Recommended | 🔴 | Any: rat traders >10% / largest wallet >15% / dev sock puppet |
| 谨慎参与 | Caution | ⚠️ | ≥2 of: Dev still holding / airdrop >15% / risk wallets >30% / linked >10% |
| 不建议买 | Not Recommended | 🔴 | Any: rat traders >5% / largest wallet >10% / dev sock puppet |
| 谨慎参与 | Caution | ⚠️ | ≥2 of: Dev still holding >1% / airdrop >20% / risk wallets >35% / linked >15% |
| 可轻仓 | Light Position | 🟡 | Exactly 1 of above warns |
| 正常参与 | Normal | ✅ | None of the above |
### Per-metric flag thresholds
| Metric | 🔴 | 🟡 | 🟢 |
|--------|----|----|----|
| Top10 concentration | >60% | >40% | ≤40% |
| Top20 concentration | >75% | >55% | ≤55% |
| Airdropped chips (never bought) | >25% | >10% | ≤10% |
| Risk wallets | >35% | >15% | ≤15% |
| Linked funding | >25% | >10% | ≤10% |
| Zero-balance wallets | — | >10% | ≤10% |
Diamond hands invert (more is better) and use their own emoji set: ✅ >60% / 🟡 >35% / ⚠️ ≤35%.
Linked funding is escalated to at least 🟡 whenever any group was funded within 60s, regardless of
size — scripted batch funding is a structural signal, not a magnitude one.
## Supported Chains
`sol`, `bsc`, `base`, `eth`, `robinhood`, `arc`, `stable`
@@ -802,7 +116,15 @@ Entry timing pressure (批次浮盈/出货) does **NOT** affect the overall rati
## Notes
- `balance >= 1` threshold avoids dust false positives when identifying dev holdings
- SOL `native_balance` is in lamports (÷1e9); EVM `native_balance` is in wei (÷1e18)
- SOL `native_balance` is in lamports (÷1e9); `bsc`/`eth`/`base` are in wei (÷1e18). Decimals for
`arc`/`stable`/`robinhood` are unconfirmed, so the buying-power section reports "not assessed"
on those chains rather than printing a converted figure that would be wrong.
- Holder buying power needs a live native-token price, fetched with `token info` on the wrapped
native address (`So111…1112` / WBNB / WETH / Base WETH). When that call fails, the section falls
back to native units and prints no USD figure.
- `total_supply` is estimated as the median of `balance / amount_percentage` across normal wallets
- `cur_price` is estimated as the median of `usd_value / balance` across normal wallets
- Entry MC = `total_supply * avg_cost`, shown alongside unrealized PnL for every Top5 wallet
- Top5 displays Twitter name when available; else `first4...last4` format
- Risk-wallet subtotals are per-category and can exceed the deduped total; the script prints how
many wallets carry more than one risk tag when that happens.
+290 -113
View File
@@ -21,9 +21,20 @@ if CHAIN == 'auto' or (TOKEN_ADDR.startswith('0x') and CHAIN not in KNOWN_CHAINS
break
else:
CHAIN = 'eth' # fallback
WINDOW = 1800
WINDOW = 300 # 同步注资滑窗(秒)—— 文档要求"极短时间",取 5 分钟
TIGHT = 60 # 秒级同步注资,基本可判定为脚本批量打款
now_ts = int(time.time())
# 原生代币的包装地址,用于查询实时价格来估算持仓者购买力。
# 未列出的链(arc / stable / robinhood)拿不到价格,购买力改用原生单位展示。
WNATIVE = {
'sol': 'So11111111111111111111111111111111111111112',
'bsc': '0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c',
'eth': '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2',
'base': '0x4200000000000000000000000000000000000006',
}
NATIVE_SYM = {'sol': 'SOL', 'bsc': 'BNB', 'eth': 'ETH', 'base': 'ETH'}
ZH = (LANG == 'zh')
def _(zh, en): return zh if ZH else en
@@ -34,9 +45,12 @@ def run_cli(args, timeout=30):
raise RuntimeError(r.stderr)
return json.loads(r.stdout)
with ThreadPoolExecutor(max_workers=3) as ex:
with ThreadPoolExecutor(max_workers=4) as ex:
f_holders = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--limit', '100'])
f_devs = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--tag', 'dev', '--limit', '20'])
# 原生代币价格与 holders 无依赖,和上面两个请求并发,不额外增加耗时
f_price = (ex.submit(run_cli, ['token', 'info', '--chain', CHAIN, '--address', WNATIVE[CHAIN]])
if CHAIN in WNATIVE else None)
# dev 结果一到,立即发起 created-tokens,不等 holders
devs = f_devs.result()['list']
@@ -50,6 +64,14 @@ with ThreadPoolExecutor(max_workers=3) as ex:
holders = f_holders.result()['list']
created_data = f_created.result() if f_created else None
# 价格取不到就降级为 None —— 宁可只显示原生数量,也不编造美元金额
NATIVE_PRICE = None
if f_price:
try:
NATIVE_PRICE = float(((f_price.result() or {}).get('price') or {}).get('price') or 0) or None
except Exception:
NATIVE_PRICE = None
normal = [h for h in holders if h.get('addr_type', 0) == 0]
burn = [h for h in holders if h.get('addr_type', 0) == 1]
dex = [h for h in holders if h.get('addr_type', 0) == 2]
@@ -72,6 +94,11 @@ def age_label(entry_ts):
else: return f"{hours}h ago" if days == 0 else f"{days}d ago"
def addr_short(addr):
return f"{addr[:4]}...{addr[-4:]}"
def price_str(v):
# meme 币均价常在 1e-8 量级,固定 4 位小数会全部显示成 $0.0000
if not v or v <= 0: return "$0"
if v >= 0.01: return f"${v:.4f}"
return "$" + f"{v:.12f}".rstrip('0')
supply_list = [h['balance']/h['amount_percentage'] for h in normal
if h.get('amount_percentage',0)>0 and h.get('balance',0)>0]
@@ -83,8 +110,18 @@ cur_mc = total_supply * cur_price
burn_pct = sum(h['amount_percentage'] for h in burn)
dex_pct = sum(h['amount_percentage'] for h in dex)
top10 = sum(h['amount_percentage'] for h in holders[:10])
top20 = sum(h['amount_percentage'] for h in holders[:20])
# ── 流通盘基准 ──────────────────────────────────────────────────────────
# 下方所有"持仓占比"都除以 float_share,即以可流通盘为分母而非总供应。
# 理由:报告要回答的是"能砸盘的筹码占多少",锁在 DEX 池和销毁地址里的份额
# 砸不动,把它们算进分母会把真实抛压系统性稀释(LP 占 56% 时会低估 2.3 倍)。
# burn_pct / dex_pct 本身保持总供应基准 —— 它们定义了流通盘,再用流通盘做分母会循环。
float_share = max(1.0 - burn_pct - dex_pct, 1e-9)
# 集中度只数钱包地址(addr_type==0),排除 DEX 池和销毁地址。
# holders 按 amount_percentage 降序返回,normal 保持该顺序。
top10 = sum(h['amount_percentage'] for h in normal[:10]) / float_share
top20 = sum(h['amount_percentage'] for h in normal[:20]) / float_share
airdrop = [h for h in normal if h.get('buy_tx_count_cur', 0)==0 and h.get('balance', 0)>0]
bundlers = [h for h in normal if 'bundler' in (h.get('maker_token_tags') or [])]
@@ -93,39 +130,83 @@ snipers = [h for h in normal if 'sniper' in (h.get('maker_token_tags') or
fresh = [h for h in normal if 'fresh_wallet' in (h.get('tags') or [])]
wash = [h for h in normal if 'wash_trader' in (h.get('tags') or [])]
risk_all = set(h['address'] for g in [bundlers, rats, snipers, fresh, wash] for h in g)
risk_pct = sum(h['amount_percentage'] for h in normal if h['address'] in risk_all)
risk_pct = sum(h['amount_percentage'] for h in normal if h['address'] in risk_all) / float_share
# 分类明细各自求和会重复计算带多标签的钱包,总数是去重的 —— 输出时要说明差额来源
risk_tag_hits = sum(len(g) for g in [bundlers, rats, snipers, fresh, wash])
risk_overlap = risk_tag_hits - len(risk_all)
airdrop_pct = sum(h['amount_percentage'] for h in airdrop)
rats_pct = sum(h['amount_percentage'] for h in rats)
airdrop_pct = sum(h['amount_percentage'] for h in airdrop) / float_share
rats_pct = sum(h['amount_percentage'] for h in rats) / float_share
# normal_pct / bad_pct / healthy_pct 保持总供应基准:healthy_ratio 是"看得见的筹码里
# 有多少是干净的"这一质量比值,分母就该是观测到的钱包总量。Top100 之外的长尾干净与否
# 无从得知,换成流通盘做分母会让分散型代币凭空显示成健康度下降。
normal_pct = sum(h['amount_percentage'] for h in normal)
all_bad = set(h['address'] for h in airdrop) | risk_all
bad_pct = sum(h['amount_percentage'] for h in normal if h['address'] in all_bad)
healthy_pct = max(normal_pct - bad_pct, 0)
healthy_ratio = (healthy_pct / normal_pct) if normal_pct > 0 else 0
# Top100 覆盖了多少流通盘 —— 未覆盖的部分意味着所有流通盘占比都是下限
coverage = min(normal_pct / float_share, 1.0)
# ── 关联资金 ────────────────────────────────────────────────────────────
# 文档要的是"团伙作案"。只看"共用同一个转入地址"会把交易所热钱包判成团伙 ——
# 一个 CEX 热钱包给 30 个互不相关的散户打款,特征和 30 个小号一模一样。
# 硬编码 CEX 地址名单在 skill 里无法维护,改用 payload 里已有的一致性信号:
# 同一批小号通常在很短时间内、以几乎相同的金额被打款。
nonwallet_addrs = set(h['address'] for h in burn) | set(h['address'] for h in dex)
def _tr(h, k, d=0): return (h.get('native_transfer') or {}).get(k, d)
def coherent(ws):
"""时间集中 或 金额高度一致 —— 任一成立即判为强关联"""
ts = [t for t in (_tr(w, 'timestamp', 0) for w in ws) if t]
am = [float(_tr(w, 'amount', 0) or 0) for w in ws]
tight = bool(ts) and (max(ts) - min(ts)) <= 6 * 3600
mean = (sum(am) / len(am)) if am else 0
uniform = mean > 0 and (max(am) - min(am)) / mean <= 0.15
return tight or uniform
from_map = defaultdict(list)
for h in normal:
fa = (h.get('native_transfer') or {}).get('from_address', '')
if fa: from_map[fa].append(h)
same_src_groups = sorted([(fa, ws) for fa, ws in from_map.items() if len(ws)>=2], key=lambda x: -len(x[1]))
same_src_wallets = sum(len(ws) for __,ws in same_src_groups)
same_src_pct = sum(h['amount_percentage'] for __,ws in same_src_groups for h in ws)
fa = _tr(h, 'from_address', '')
if fa and fa not in nonwallet_addrs:
from_map[fa].append(h)
# ≥3 个钱包才成组:2 个钱包共用转入地址的证据太弱,噪声远大于信号
_cand = [(fa, ws) for fa, ws in from_map.items() if len(ws) >= 3]
same_src_groups = sorted([(fa, ws) for fa, ws in _cand if coherent(ws)], key=lambda x: -len(x[1]))
weak_src_groups = sorted([(fa, ws) for fa, ws in _cand if not coherent(ws)], key=lambda x: -len(x[1]))
same_src_wallets = sum(len(ws) for __, ws in same_src_groups)
weak_src_wallets = sum(len(ws) for __, ws in weak_src_groups)
same_src_pct = sum(h['amount_percentage'] for __, ws in same_src_groups for h in ws) / float_share
weak_src_pct = sum(h['amount_percentage'] for __, ws in weak_src_groups for h in ws) / float_share
funded = [((h.get('native_transfer') or {}).get('timestamp',0), h)
for h in normal if (h.get('native_transfer') or {}).get('timestamp',0)]
bucket = defaultdict(list)
# 同步注资改用滑动窗口。原先的固定分桶 (ts//WINDOW)*WINDOW 漏掉跨桶边界的相邻注资:
# 两笔相隔 60 秒但落在不同桶里就检测不到。
funded = sorted([(_tr(h, 'timestamp', 0), h) for h in normal if _tr(h, 'timestamp', 0)])
win_groups = []
_cur = []
for ts, h in funded:
bucket[(ts//WINDOW)*WINDOW].append(h)
win_groups = sorted([(k,v) for k,v in bucket.items() if len(v)>=2], key=lambda x: -len(x[1]))
win_pct = sum(h['amount_percentage'] for __,v in win_groups for h in v)
if _cur and ts - _cur[-1][0] > WINDOW:
if len(_cur) >= 2: win_groups.append([x[1] for x in _cur])
_cur = []
_cur.append((ts, h))
if len(_cur) >= 2: win_groups.append([x[1] for x in _cur])
win_groups.sort(key=lambda v: -len(v))
win_pct = sum(h['amount_percentage'] for v in win_groups for h in v) / float_share
def _span(v):
ts = [t for t in (_tr(h, 'timestamp', 0) for h in v) if t]
return (max(ts) - min(ts)) if ts else 0
tight_groups = [v for v in win_groups if _span(v) <= TIGHT]
tight_wallets = sum(len(v) for v in tight_groups)
related = set()
for __,ws in same_src_groups:
for __, ws in same_src_groups:
for h in ws: related.add(h['address'])
for __,v in win_groups:
for v in win_groups:
for h in v: related.add(h['address'])
related_pct = sum(h['amount_percentage'] for h in normal if h['address'] in related)
related_pct = sum(h['amount_percentage'] for h in normal if h['address'] in related) / float_share
related_usd = sum(h.get('usd_value',0) for h in normal if h['address'] in related)
smart = [h for h in normal if any(t in (h.get('tags') or []) for t in ['smart_degen','pump_smart'])]
@@ -135,10 +216,10 @@ diamond = [h for h in normal if h.get('sell_tx_count_cur',0)==0 and h.get('balan
partial = [h for h in normal if 0<(h.get('sell_amount_percentage') or 0)<0.5]
heavy_sell = [h for h in normal if (h.get('sell_amount_percentage') or 0)>=0.5]
smart_pct = sum(h['amount_percentage'] for h in smart)
kol_pct = sum(h['amount_percentage'] for h in kol)
whale_pct = sum(h['amount_percentage'] for h in whales)
diamond_pct = sum(h['amount_percentage'] for h in diamond)
smart_pct = sum(h['amount_percentage'] for h in smart) / float_share
kol_pct = sum(h['amount_percentage'] for h in kol) / float_share
whale_pct = sum(h['amount_percentage'] for h in whales) / float_share
diamond_pct = sum(h['amount_percentage'] for h in diamond) / float_share
top100_map = {h['address']: h for h in holders}
creator = next((d for d in devs if 'creator' in (d.get('maker_token_tags') or [])), None)
@@ -154,21 +235,48 @@ avg_hold_days = (sum(durations)/len(durations)/86400) if durations else 0
profit_w = [h for h in normal if (h.get('profit') or 0)>0]
loss_w = [h for h in normal if (h.get('profit') or 0)<0]
trapped = [h for h in normal if (h.get('unrealized_pnl') or 0)<-0.2 and h.get('balance',0)>0]
# 文档问"持有者大部分盈利还是亏损",钱包个数是字面答案;但抛压看的是筹码权重 ——
# 3 个握着 40% 流通盘的盈利钱包,威胁远大于 60 个尘埃钱包。两者都给出。
profit_pct = sum(h['amount_percentage'] for h in profit_w) / float_share
loss_pct = sum(h['amount_percentage'] for h in loss_w) / float_share
trapped = [h for h in normal if (h.get('unrealized_pnl') or 0)<-0.2 and h.get('balance',0)>0]
trapped_pct = sum(h['amount_percentage'] for h in trapped) / float_share
NATIVE_PRICE = 160 if CHAIN == 'sol' else (700 if CHAIN == 'bsc' else 2500)
NATIVE_DENOM = 1e9 if CHAIN == 'sol' else 1e18
def native_usd(h): return int(h.get('native_balance') or 0)/NATIVE_DENOM*NATIVE_PRICE
zero_wallets = [h for h in normal if native_usd(h)==0]
low_wallets = [h for h in normal if 0 < native_usd(h) <= 200]
mid_wallets = [h for h in normal if 200 < native_usd(h) <= 1200]
high_wallets = [h for h in normal if native_usd(h) > 1200]
zero_pct_val = sum(h['amount_percentage'] for h in zero_wallets)
low_pct_val = sum(h['amount_percentage'] for h in low_wallets)
mid_pct_val = sum(h['amount_percentage'] for h in mid_wallets)
high_pct_val = sum(h['amount_percentage'] for h in high_wallets)
# 只列已确认精度的链。arc / stable / robinhood 的原生精度未确认,套 1e18 会把余额
# 算成 0.000,读起来像"这些钱包没有 gas"—— 错的数字比没有数字更危险。
NATIVE_DENOM = {'sol': 1e9, 'bsc': 1e18, 'eth': 1e18, 'base': 1e18}.get(CHAIN)
NSYM = NATIVE_SYM.get(CHAIN, 'NATIVE')
HAS_NATIVE = NATIVE_DENOM is not None
HAS_PRICE = HAS_NATIVE and NATIVE_PRICE is not None
def native_amt(h):
if not HAS_NATIVE: return 0.0
try: return float(h.get('native_balance') or 0) / NATIVE_DENOM
except (TypeError, ValueError): return 0.0
def native_usd(h): return native_amt(h) * NATIVE_PRICE if HAS_PRICE else 0.0
def fmt_native(v): return f"{v:.3f} {NSYM}"
if not HAS_NATIVE:
# 精度未知,native_balance 无法换算 —— 一个钱包都不归档,整节改为"无法评估"
zero_wallets, low_wallets, mid_wallets, high_wallets = [], [], [], []
elif HAS_PRICE:
zero_wallets = [h for h in normal if native_amt(h) <= 0]
low_wallets = [h for h in normal if 0 < native_usd(h) <= 200]
mid_wallets = [h for h in normal if 200 < native_usd(h) <= 1200]
high_wallets = [h for h in normal if native_usd(h) > 1200]
else:
# 拿不到原生代币价格就不虚构美元档位,只分"零余额 / 有余额"
zero_wallets = [h for h in normal if native_amt(h) <= 0]
low_wallets, mid_wallets = [], []
high_wallets = [h for h in normal if native_amt(h) > 0]
def _fs(ws): return sum(h['amount_percentage'] for h in ws) / float_share
zero_pct_val = _fs(zero_wallets)
low_pct_val = _fs(low_wallets)
mid_pct_val = _fs(mid_wallets)
high_pct_val = _fs(high_wallets)
high_total = sum(native_usd(h) for h in high_wallets)
total_buying_power = sum(native_usd(h) for h in normal)
high_native = sum(native_amt(h) for h in high_wallets)
total_buying_power = sum(native_usd(h) for h in normal)
total_buying_power_native = sum(native_amt(h) for h in normal)
ROLE_MAP = {
'rat_trader': _('老鼠仓', 'Rat Trader'),
@@ -208,29 +316,43 @@ def wallet_behavior(h):
return ""
def trend_str(wlist):
buying = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)==0]
selling = [h for h in wlist if (h.get('sell_tx_count_cur') or 0)>0 and (h.get('buy_tx_count_cur') or 0)==0]
both = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)>0]
holding = [h for h in wlist if (h.get('buy_tx_count_cur') or 0)==0 and (h.get('sell_tx_count_cur') or 0)==0]
"""文档问的是"持续加仓中还是出货中"。按累计买卖笔数分桶会把绝大多数活跃钱包
归进"买卖都有",两个分支都答不上。改用 sell_amount_percentage(已卖出量占已买入量
的比例)判净方向 —— 和 holding_status 用的是同一个字段。"""
cleared, dumping, trimming, adding, holding, idle = [], [], [], [], [], []
for h in wlist:
sp = h.get('sell_amount_percentage') or 0
buy = h.get('buy_tx_count_cur') or 0
sell = h.get('sell_tx_count_cur') or 0
if buy == 0 and sell == 0: idle.append(h) # 转账获得,链上无交易
elif sp >= 0.8: cleared.append(h)
elif sp >= 0.3: dumping.append(h)
elif sp > 0: trimming.append(h)
elif buy >= 2: adding.append(h) # 多次买入且未卖出
else: holding.append(h)
parts = []
if buying: parts.append(f"📈 {_('买入', 'Buying')} {len(buying)}")
if selling: parts.append(f"📉 {_('卖出中', 'Selling')} {len(selling)}")
if both: parts.append(f"🔄 {_('买卖都有', 'Both')} {len(both)}")
if holding: parts.append(f"🤝 {_('未动', 'Holding')} {len(holding)}")
if adding: parts.append(f"📈 {_('加仓', 'Accumulating')} {len(adding)}")
if holding: parts.append(f"🤝 {_('持仓未动', 'Holding')} {len(holding)}")
if trimming: parts.append(f"🟡 {_('少量减持', 'Trimming')} {len(trimming)}")
if dumping: parts.append(f"📉 {_('出货中', 'Distributing')} {len(dumping)}")
if cleared: parts.append(f"🔴 {_('清仓中', 'Exiting')} {len(cleared)}")
if idle: parts.append(f"{_('无交易', 'Idle')} {len(idle)}")
return " ".join(parts) if parts else ""
def is_active(h): return (h.get('buy_tx_count_cur') or 0)+(h.get('sell_tx_count_cur') or 0)>0
def is_selling(h): return (h.get('sell_tx_count_cur') or 0)>0 and (h.get('balance') or 0)>=1
def is_buying_only(h): return (h.get('buy_tx_count_cur') or 0)>0 and (h.get('sell_tx_count_cur') or 0)==0
biggest = max(normal, key=lambda h: h['amount_percentage']) if normal else None
biggest = max(normal, key=lambda h: h['amount_percentage']) if normal else None
biggest_pct = (biggest['amount_percentage'] / float_share) if biggest else 0
# 以下所有阈值都已按流通盘基准重新校准(旧值是总供应基准,直接沿用会让每条都亮红)
dangers = []
if rats and rats_pct > 0.1:
if rats and rats_pct > 0.05:
dangers.append(_( f"老鼠仓持仓 {pct(rats_pct):.1f}%,出货即砸盘",
f"Rat traders hold {pct(rats_pct):.1f}% — instant dump risk"))
if biggest and biggest['amount_percentage'] > 0.15:
dangers.append(_( f"最大单钱包持仓 {pct(biggest['amount_percentage']):.1f}%,筹码极度集中",
f"Largest wallet holds {pct(biggest['amount_percentage']):.1f}% — extreme concentration"))
if biggest_pct > 0.10:
dangers.append(_( f"最大单钱包持仓 {pct(biggest_pct):.1f}%,筹码极度集中",
f"Largest wallet holds {pct(biggest_pct):.1f}% — extreme concentration"))
if creator:
to_out = creator.get('token_transfer_out') or {}
if (to_out.get('address') or '') in top100_map:
@@ -239,17 +361,17 @@ if creator:
warns = []
if dev_holding:
hold_pct_val = sum(d.get('amount_percentage',0) for d in dev_holding)
hold_pct_val = sum(d.get('amount_percentage',0) for d in dev_holding) / float_share
if hold_pct_val > 0.01:
warns.append(_( f"Dev 仍持仓 {pct(hold_pct_val):.2f}%",
f"Dev still holds {pct(hold_pct_val):.2f}%"))
if airdrop_pct > 0.15:
if airdrop_pct > 0.2:
warns.append(_( f"空降筹码 {pct(airdrop_pct):.1f}%,来源不透明",
f"Airdrop supply {pct(airdrop_pct):.1f}% — opaque origin"))
if risk_pct > 0.3:
if risk_pct > 0.35:
warns.append(_( f"风险钱包持仓 {pct(risk_pct):.1f}%,筹码质量差",
f"Risk wallets hold {pct(risk_pct):.1f}% — low chip quality"))
if related_pct > 0.1:
if related_pct > 0.15:
warns.append(_( f"关联钱包 {len(related)} 个持仓 {pct(related_pct):.1f}%",
f"Linked wallets ({len(related)}) hold {pct(related_pct):.1f}%"))
@@ -274,7 +396,7 @@ if whales:
if kol:
goods.append(_( f"KOL {len(kol)} 个在场({pct(kol_pct):.2f}%",
f"{len(kol)} KOL(s) holding ({pct(kol_pct):.2f}%)"))
if diamond_pct > 0.4:
if diamond_pct > 0.5:
goods.append(_( f"钻石手持仓 {pct(diamond_pct):.1f}%,筹码稳定",
f"Diamond hands hold {pct(diamond_pct):.1f}% — stable chips"))
@@ -283,7 +405,7 @@ if rats:
exit_signals.append(_("老鼠仓钱包出现卖出操作", "Rat trader wallets start selling"))
if dev_holding:
exit_signals.append(_("Dev 钱包开始出货", "Dev wallets start dumping"))
if airdrop_pct>0.15:
if airdrop_pct>0.2:
exit_signals.append(_("空降大户出现集中卖出", "Airdrop whales start concentrated selling"))
if not exit_signals:
exit_signals = [_("Top5 大户出现集中出货", "Top 5 holders start concentrated selling"),
@@ -301,6 +423,12 @@ def top5_pressure(h):
if buy0 and not roles: roles.append(_('空降', 'Airdrop'))
role_str = "["+"·".join(roles)+"] " if roles else ""
display_id = (h.get('twitter_name') or '') or addr_short(h['address'])
# 建仓MC = 总供应 × 建仓均价。文档把它和浮盈并列为抛压信号,所以四个有成本的分支
# 都要给 —— 只报"均价 $0.0000"读不出这是多大的盘子进的。
entry_mc = total_supply * avg_cost
cost_str = (f"{_('建仓MC', 'Entry MC')} {usd(entry_mc)}"
f"{_('均价', 'avg')} {price_str(avg_cost)}" if ZH else
f"Entry MC {usd(entry_mc)} (avg {price_str(avg_cost)})")
if buy0 or avg_cost==0:
cost_str = _("零成本(转账获得)", "Zero cost (received via transfer)")
pnl_str = ""
@@ -308,23 +436,19 @@ def top5_pressure(h):
note = _("零成本,随时可出货", "Zero cost — can dump anytime")
elif up_pnl>1.0:
mult = up_pnl+1
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"+{up_pnl*100:.0f}% ({mult:.1f}x) {usd(up_usd)}"
lv = "⚠️ " + _("", "High")
note = _(f"建仓MC {usd(total_supply*avg_cost)}{usd(cur_mc)},浮盈 {mult:.1f}x 压力强",
f"Entry MC {usd(total_supply*avg_cost)} → now {usd(cur_mc)}, {mult:.1f}x gain — strong pressure")
note = _(f" MC {usd(cur_mc)},浮盈 {mult:.1f}x,获利了结压力强",
f"Now MC {usd(cur_mc)}, {mult:.1f}x gain — strong take-profit pressure")
elif up_pnl>0.1:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"+{up_pnl*100:.0f}% {usd(up_usd)}"
lv = "🟡 " + _("", "Med")
note = _("小幅浮盈,出货意愿一般", "Moderate gain — mild sell pressure")
elif up_pnl>=-0.1:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"{up_pnl*100:+.0f}% {usd(up_usd)}" if abs(up_usd)>=1 else _("接近成本", "Near cost")
lv = "🟢 " + _("", "Low")
note = _("接近成本,短期抛压有限", "Near break-even — limited short-term pressure")
else:
cost_str = f"{_('均价', 'avg')} ${avg_cost:.4f}"
pnl_str = f"{up_pnl*100:.0f}% {usd(up_usd)}"
lv = "🟢 " + _("", "Low")
note = _("套牢中,短期不易割肉", "Underwater — unlikely to sell soon")
@@ -343,17 +467,18 @@ print()
sec1 = _("🚨 砸盘风险", "🚨 Dump Risk")
print(f"━━ {sec1} {''*(54-len(sec1))}")
print()
c10f = "🔴" if top10>0.5 else ("🟡" if top10>0.3 else "🟢")
c20f = "🔴" if top20>0.6 else ("🟡" if top20>0.4 else "🟢")
print(f" {_('集中度', 'Concentration')} Top10 {pct(top10):.1f}% {c10f} Top20 {pct(top20):.1f}% {c20f}")
c10f = "🔴" if top10>0.6 else ("🟡" if top10>0.4 else "🟢")
c20f = "🔴" if top20>0.75 else ("🟡" if top20>0.55 else "🟢")
print(f" {_('集中度(占流通盘,已剔除 LP 与销毁)', 'Concentration (of tradeable float, LP + burn excluded)')}")
print(f" Top10 {pct(top10):.1f}% {c10f} Top20 {pct(top20):.1f}% {c20f}")
print()
if burn:
print(f" 🔥 {_('销毁地址', 'Burn addr')} {pct(burn_pct):.2f}% ✅ {_('永久锁仓,无法流通', 'Permanently locked, non-circulating')}")
print()
airf = "🔴" if airdrop_pct>0.2 else ("🟡" if airdrop_pct>0.1 else "🟢")
airf = "🔴" if airdrop_pct>0.25 else ("🟡" if airdrop_pct>0.1 else "🟢")
print(f" {_('空降筹码(从未买入、靠转账获得)', 'Airdrop (never bought, received via transfer)')} {len(airdrop)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(airdrop_pct):.2f}% {airf}")
print()
riskf = "🔴" if risk_pct>0.3 else ("🟡" if risk_pct>0.1 else "🟢")
riskf = "🔴" if risk_pct>0.35 else ("🟡" if risk_pct>0.15 else "🟢")
print(f" {_('风险钱包', 'Risk wallets')} {_('合计', 'total')} {len(risk_all)} {_('', '')} {_('持仓', 'hold')} {pct(risk_pct):.2f}% {riskf}")
risk_labels = [
(_("老鼠仓", "Rat Trader"), rats, "🚨"),
@@ -364,31 +489,34 @@ risk_labels = [
]
for label, group, flag in risk_labels:
if group:
gp = pct(sum(h['amount_percentage'] for h in group))
gp = pct(sum(h['amount_percentage'] for h in group) / float_share)
print(f" · {label:10s} {len(group):2d} {_('', '')} {_('持仓', 'hold')} {gp:.2f}% {flag}")
if not any([rats,bundlers,snipers,fresh,wash]):
print(f" · {_('未发现风险标签钱包', 'No risk-tagged wallets found')} 🟢")
if risk_overlap > 0:
# 分类明细相加会大于"合计" —— 说明差额来自多标签钱包,而不是算错了
print(f" · {_(f'合计已去重({risk_overlap} 个钱包带多个风险标签)', f'Total is deduped ({risk_overlap} wallet(s) carry multiple risk tags)')}")
print()
bundler_pct_val = sum(h['amount_percentage'] for h in bundlers)
sniper_pct_val = sum(h['amount_percentage'] for h in snipers)
bundler_pct_val = sum(h['amount_percentage'] for h in bundlers) / float_share
sniper_pct_val = sum(h['amount_percentage'] for h in snipers) / float_share
if dangers:
sdp_summary = f"🔴 {dangers[0]}"
elif rats_pct > 0.05:
elif rats_pct > 0.03:
sdp_summary = _( f"🔴 老鼠仓持仓 {pct(rats_pct):.1f}%,零成本拿的,随时可以无损砸盘",
f"🔴 Rat traders hold {pct(rats_pct):.1f}% at zero cost — can dump with no loss anytime")
elif top10 > 0.4:
elif top10 > 0.5:
sdp_summary = _( f"🟡 Top10 持仓 {pct(top10):.1f}%,筹码过于集中,大户一旦出货冲击很大",
f"🟡 Top10 hold {pct(top10):.1f}% — highly concentrated, big impact if they sell")
elif bundler_pct_val > 0.2:
elif bundler_pct_val > 0.3:
sdp_summary = _( f"🟡 捆绑钱包持仓 {pct(bundler_pct_val):.1f}%,这批是开盘机器人扫货,出货时可能集中砸盘",
f"🟡 Bundlers hold {pct(bundler_pct_val):.1f}% — bot-swept at open, may dump together")
elif airdrop_pct > 0.15:
elif airdrop_pct > 0.2:
sdp_summary = _( f"🟡 空降筹码 {pct(airdrop_pct):.1f}%,这些人零成本拿到币,随时可能出货",
f"🟡 Airdrop supply {pct(airdrop_pct):.1f}% at zero cost — may sell anytime")
elif sniper_pct_val > 0.1:
elif sniper_pct_val > 0.15:
sdp_summary = _( f"🟡 狙击者持仓 {pct(sniper_pct_val):.1f}%,开盘低价进的,浮盈高、随时可套现",
f"🟡 Snipers hold {pct(sniper_pct_val):.1f}% at launch price — high unrealized gain, may cash out")
elif risk_pct > 0.1:
elif risk_pct > 0.15:
sdp_summary = _( f"🟡 风险钱包合计持仓 {pct(risk_pct):.1f}%,需要留意动向",
f"🟡 Risk wallets total {pct(risk_pct):.1f}% — watch their moves")
elif burn_pct > 0.1:
@@ -404,7 +532,7 @@ print(f" {_('浮盈越高 / 建仓MC越低 → 获利了结压力越强', 'High
print()
for i, h in enumerate(top5_holders, 1):
role_str, display_id, cost_str, pnl_str, lv, note, beh_str, st = top5_pressure(h)
hp = pct(h['amount_percentage'])
hp = pct(h['amount_percentage'] / float_share)
print(f" {i}. {role_str}{display_id}")
print(f" {_('持仓', 'hold')} {hp:.2f}% {cost_str} {_('盈亏', 'pnl')} {pnl_str}")
print(f" {_('抛压', 'pressure')} {lv}{note}")
@@ -414,8 +542,13 @@ for i, h in enumerate(top5_holders, 1):
sec2 = _("👨‍💻 Dev 钱包", "👨‍💻 Dev Wallets")
print(f"━━ {sec2} {''*(54-len(sec2))}")
print()
dev_status = (_("✅ 全部余额归零", "✅ All cleared") if not dev_holding
else _(f"⚠️ 仍有 {len(dev_holding)} 个持仓中", f"⚠️ {len(dev_holding)} still holding"))
# 一个 dev 都没查到 ≠ dev 已清仓 —— 前者是查不到,后者是查到了且为零
if not devs:
dev_status = _("— 未查到 dev 钱包", "— no dev wallets found")
elif not dev_holding:
dev_status = _("✅ 全部余额归零", "✅ All cleared")
else:
dev_status = _(f"⚠️ 仍有 {len(dev_holding)} 个持仓中", f"⚠️ {len(dev_holding)} still holding")
if sub_devs:
print(f" {_('', 'Total')} {len(devs)} {_('个钱包(1 主号 + ', 'wallets (1 main + ')}{len(sub_devs)}{_(' 小号)', ' sub)')} {dev_status}")
else:
@@ -427,7 +560,7 @@ if creator:
tf_out = creator.get('history_transfer_out_amount') or 0
tf_val = creator.get('history_transfer_out_income') or 0
sell_amt = creator.get('sell_amount_cur') or 0
hold_pct_c = creator.get('amount_percentage') or 0
hold_pct_c = (creator.get('amount_percentage') or 0) / float_share
c_status = (_("余额归零", "Balance zero") if (creator.get('balance') or 0)<1
else _(f"⚠️ 持仓 {pct(hold_pct_c):.2f}%", f"⚠️ Holding {pct(hold_pct_c):.2f}%"))
print(f" {_('主号 (Creator)', 'Main (Creator)')} {addr_short(creator['address'])}")
@@ -451,7 +584,7 @@ if creator:
target = top100_map[to_addr]
t_mtags = [t for t in (target.get('maker_token_tags') or []) if t not in ('top_holder','transfer_in')]
print(f"\n ⚠️ {_('转出筹码仍在 Top100(换马甲继续持有):', 'Transferred chips still in Top100 (sock puppet):')}")
print(f" {addr_short(to_addr)} {_('持仓', 'hold')} {pct(target.get('amount_percentage',0)):.2f}% {_('标签', 'tags')}: {' '.join(t_mtags) or _('','none')}")
print(f" {addr_short(to_addr)} {_('持仓', 'hold')} {pct((target.get('amount_percentage') or 0)/float_share):.2f}% {_('标签', 'tags')}: {' '.join(t_mtags) or _('','none')}")
elif (creator.get('balance') or 0)<1 and tf_out==0:
print(f"{_('已完全卖出,无异常转账记录', 'Fully sold, no abnormal transfers')}")
print()
@@ -494,28 +627,41 @@ print()
print(f" {_('多个钱包来自同一资金来源地址,或在极短时间内同步注资', 'Multiple wallets from same funding source or funded in tight time windows')}")
print()
if related:
relf = "🔴" if related_pct>0.15 else ("🟡" if related_pct>0.05 else "🟢")
relf = "🔴" if related_pct>0.25 else ("🟡" if related_pct>0.1 else "🟢")
# 秒级批量注资本身就是异常信号,不该因为占比小而在标题上显示为绿
if tight_groups and relf == "🟢": relf = "🟡"
print(f" {_('涉及', 'Involves')} {len(related)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(related_pct):.2f}% {usd(related_usd)} {relf}")
print()
print(f" ├─ {_('同一资金来源地址', 'Same funding source')} {len(same_src_groups)} {_('', 'groups')} / {same_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(same_src_pct):.2f}%")
print(f" ├─ {_('强关联(同一来源 + 时间集中或金额一致)', 'Strong (same source + tight timing or uniform amounts)')} {len(same_src_groups)} {_('', 'groups')} / {same_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(same_src_pct):.2f}%")
if same_src_groups:
fa, ws = same_src_groups[0]
native_in = sum(float((w.get('native_transfer') or {}).get('amount',0) or 0) for w in ws)
native_sym = 'SOL' if CHAIN=='sol' else ('BNB' if CHAIN=='bsc' else 'ETH')
print(f"{_('最大组', 'Largest group')}: {len(ws)} {_('个钱包', 'wallets')} {_('同一地址先后转入启动资金', 'funded sequentially from same addr')} {native_in:.4f} {native_sym}")
native_in = sum(float(_tr(w, 'amount', 0) or 0) for w in ws)
print(f"{_('最大组', 'Largest group')}: {len(ws)} {_('个钱包', 'wallets')} {_('来源', 'from')} {addr_short(fa)} {_('合计注资', 'total funded')} {native_in:.4f} {NSYM}")
if weak_src_groups:
# 只共用转入地址、时间金额都不一致 —— 交易所热钱包和团伙长得一样,不能混进合计
print(f" ├─ {_('弱关联(仅共用转入地址,可能是交易所热钱包)', 'Weak (shared source only, may be a CEX hot wallet)')} {len(weak_src_groups)} {_('', 'groups')} / {weak_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(weak_src_pct):.2f}% {_('不计入上方合计', 'excluded from total above')}")
print(f"")
if win_groups:
win_total = sum(len(v) for __,v in win_groups)
if win_total>=3:
k,v = win_groups[0]
print(f" └─ {_('同期注资(30min内集中入场)', 'Coordinated funding (within 30min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}% ⚠️")
print(f" {_('最大批次', 'Largest batch')}: {len(v)} {_('个钱包', 'wallets')} {_('合计持仓', 'total hold')} {pct(sum(h['amount_percentage'] for h in v)):.3f}%")
win_total = sum(len(v) for v in win_groups)
if tight_groups:
print(f" └─ {_(f'同步注资({WINDOW//60}min 内集中入场)', f'Coordinated funding (within {WINDOW//60}min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}% 🔴")
print(f" 🔴 {_(f'其中 {tight_wallets} 个钱包在 {TIGHT} 秒内被同步注资,基本可判定脚本批量打款', f'{tight_wallets} wallet(s) funded within {TIGHT}s — almost certainly scripted batch funding')}")
elif win_total>=3:
print(f" └─ {_(f'同步注资({WINDOW//60}min 内集中入场)', f'Coordinated funding (within {WINDOW//60}min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}% ⚠️")
else:
print(f" └─ {_('注资(30min内集中入场)', 'Coordinated funding (within 30min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}%")
print(f" └─ {_(f'注资({WINDOW//60}min 内集中入场)', f'Coordinated funding (within {WINDOW//60}min)')} {win_total} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(win_pct):.2f}%")
# 只有一个批次时,明细就是上面那行,不重复打印
if len(win_groups) > 1:
v = win_groups[0]
print(f" {_('最大批次', 'Largest batch')}: {len(v)} {_('个钱包', 'wallets')} {_('合计持仓', 'total hold')} {pct(sum(h['amount_percentage'] for h in v)/float_share):.3f}% {_('时间跨度', 'span')} {_span(v)}s")
else:
print(f" {_('时间跨度', 'Span')} {_span(win_groups[0])}s")
else:
print(f" └─ {_('未发现同集中注资', 'No coordinated funding detected')}")
print(f" └─ {_('未发现同集中注资', 'No coordinated funding detected')}")
else:
print(f" {_('未发现明显关联资金', 'No significant linked funds detected')} 🟢")
if weak_src_groups:
print(f" ({_(f'{weak_src_wallets} 个钱包共用转入地址,但时间和金额都不一致,判为交易所出金而非团伙', f'{weak_src_wallets} wallets share a funding address but differ in timing and amount — read as CEX withdrawals, not a gang')})")
print()
sec4 = _("🧠 优质信号", "🧠 Quality Signals")
@@ -527,11 +673,11 @@ print(f" KOL {len(kol):2d} {_('持仓', 'hold')} {pct(kol_pct):.2f}%
if kol:
for h in kol:
name = h.get('twitter_name') or h.get('name') or addr_short(h['address'])
print(f" · {name} {_('持仓', 'hold')} {pct(h['amount_percentage']):.2f}% {holding_status(h)} {_('买/卖', 'buy/sell')}: {h.get('buy_tx_count_cur',0)}/{h.get('sell_tx_count_cur',0)}")
print(f" · {name} {_('持仓', 'hold')} {pct(h['amount_percentage']/float_share):.2f}% {holding_status(h)} {_('买/卖', 'buy/sell')}: {h.get('buy_tx_count_cur',0)}/{h.get('sell_tx_count_cur',0)}")
print(f" {_('鲸鱼', 'Whale')} {len(whales):2d} {_('持仓', 'hold')} {pct(whale_pct):.2f}% {'' if whales else ''}")
if whales: print(f" {_('近期动向', 'Recent')}: {trend_str(whales)}")
print()
df = "" if diamond_pct>0.5 else ("🟡" if diamond_pct>0.3 else "⚠️")
df = "" if diamond_pct>0.6 else ("🟡" if diamond_pct>0.35 else "⚠️")
print(f" {_('钻石手(从未卖出)', 'Diamond hands (never sold)')} {len(diamond):2d} {_('持仓', 'hold')} {pct(diamond_pct):.1f}% {df}")
print(f" {_('部分卖出(<50%)', 'Partial sell (<50%)')} {len(partial):2d} {_('大量卖出(≥50%)', 'Heavy sell (≥50%)')} {len(heavy_sell):2d}")
sig_count = len(smart) + len(kol) + len(whales)
@@ -576,7 +722,7 @@ sig_clusters = sorted([(age,ws) for age,ws in time_clusters.items() if len(ws)>=
for rank, (age, ws) in enumerate(sig_clusters, 1):
entry_ts = token_launch + age*86400
label = age_label(entry_ts)
total_hp = sum(h['amount_percentage'] for h in ws)
total_hp = sum(h['amount_percentage'] for h in ws) / float_share
costed = [h for h in ws if (h.get('avg_cost') or 0)>0]
selling_out = [h for h in ws if holding_status(h) in (
_('🔴 大量出货','🔴 Heavy Selling'), _('🟡 出货中','🟡 Selling'))]
@@ -619,22 +765,38 @@ for rank, (age, ws) in enumerate(sig_clusters, 1):
sec6 = _("💰 持仓者购买力", "💰 Holder Buying Power")
print(f"━━ {sec6} {''*(54-len(sec6))}")
print()
print(f" {_('衡量现有持仓者还有多少子弹可以加仓', 'How much ammo holders have left to add')} {_('合计可用余额', 'Total balance')} {usd(total_buying_power)}")
print()
if not HAS_NATIVE:
print(f" {_('衡量现有持仓者还有多少子弹可以加仓', 'How much ammo holders have left to add')}")
print()
print(f" ⚠️ {_(f'{CHAIN} 链的原生代币精度未确认,native_balance 无法换算 —— 本节不做评估', f'Native decimals unconfirmed for {CHAIN}; native_balance cannot be converted — section not assessed')}")
print()
else:
if HAS_PRICE:
bp_str = _(f"{usd(total_buying_power)}{fmt_native(total_buying_power_native)} @ {price_str(NATIVE_PRICE)}",
f"{usd(total_buying_power)} ({fmt_native(total_buying_power_native)} @ {price_str(NATIVE_PRICE)})")
else:
bp_str = fmt_native(total_buying_power_native)
print(f" {_('衡量现有持仓者还有多少子弹可以加仓', 'How much ammo holders have left to add')} {_('合计可用余额', 'Total balance')} {bp_str}")
print()
if zero_wallets:
print(f"{_('零余额', 'Zero balance')} {len(zero_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(zero_pct_val):.2f}% $0{_('无加仓能力,可能是分仓小号', 'No buying power, likely sub-wallets')}")
if low_wallets:
low_total = sum(native_usd(h) for h in low_wallets)
print(f" 🟡 {_('低(<$200', 'Low (<$200)')} {len(low_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(low_pct_val):.2f}% {usd(low_total)}")
if mid_wallets:
mid_total = sum(native_usd(h) for h in mid_wallets)
print(f" 🟠 {_('中($200~$1200', 'Mid ($200~$1200)')} {len(mid_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(mid_pct_val):.2f}% {usd(mid_total)}")
if high_wallets:
print(f" 🔴 {_('高($1200+', 'High ($1200+)')} {len(high_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(high_pct_val):.2f}% {usd(high_total)}{_('可随时加仓', 'can add anytime')}")
print(f"{_('零余额', 'Zero balance')} {len(zero_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(zero_pct_val):.2f}% {_('无加仓能力,可能是分仓小号', 'No buying power, likely sub-wallets')}")
if HAS_PRICE:
if low_wallets:
low_total = sum(native_usd(h) for h in low_wallets)
print(f" 🟡 {_('低(<$200', 'Low (<$200)')} {len(low_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(low_pct_val):.2f}% {usd(low_total)}")
if mid_wallets:
mid_total = sum(native_usd(h) for h in mid_wallets)
print(f" 🟠 {_('中($200~$1200', 'Mid ($200~$1200)')} {len(mid_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(mid_pct_val):.2f}% {usd(mid_total)}")
if high_wallets:
print(f" 🔴 {_('高($1200+', 'High ($1200+)')} {len(high_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(high_pct_val):.2f}% {usd(high_total)}{_('可随时加仓', 'can add anytime')}")
elif high_wallets:
# 拿不到原生代币价格,只按原生数量分档,不编造美元金额
print(f" 🟢 {_('有余额', 'Has balance')} {len(high_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(high_pct_val):.2f}% {fmt_native(high_native)}")
print(f" ({_(f'{CHAIN} 链拿不到 {NSYM} 价格,仅显示原生数量', f'No {NSYM} price for {CHAIN}, native amount only')})")
print()
if high_wallets:
if high_wallets and HAS_PRICE:
print(f"{_('高余额钱包', 'High-balance wallets')} {len(high_wallets)} {_('个持仓', 'holding')} {pct(high_pct_val):.1f}%{_('', ', ')}{_('合计', 'total')} {usd(high_total)} {_('可随时加仓', 'ready to add')}")
if zero_wallets and zero_pct_val > 0.05:
if zero_wallets and zero_pct_val > 0.1:
print(f"{len(zero_wallets)} {_('个钱包零余额(持仓 ', 'wallets with zero balance (hold ')}{pct(zero_pct_val):.1f}%{_('', ')')}, {_('无加仓能力,可能是分仓小号', 'no buying power, likely sub-wallets')}")
print()
@@ -643,9 +805,11 @@ print(f"━━ {sec7} {'━'*(54-len(sec7))}")
print()
total_n = len(normal)
if total_n > 0:
print(f" {_('盈利', 'Profit')} {len(profit_w)} ({len(profit_w)/total_n*100:.0f}%) {_('亏损', 'Loss')} {len(loss_w)} ({len(loss_w)/total_n*100:.0f}%) {_('持平', 'Break-even')} {total_n-len(profit_w)-len(loss_w)}")
# 钱包个数答"多数人赚没赚",流通盘占比答"赚钱的筹码有多重" —— 抛压看后者
print(f" {_('盈利', 'Profit')} {len(profit_w)} ({len(profit_w)/total_n*100:.0f}% {_('钱包', 'wallets')} / {pct(profit_pct):.1f}% {_('流通盘', 'float')})")
print(f" {_('亏损', 'Loss')} {len(loss_w)} ({len(loss_w)/total_n*100:.0f}% {_('钱包', 'wallets')} / {pct(loss_pct):.1f}% {_('流通盘', 'float')}) {_('持平', 'Break-even')} {total_n-len(profit_w)-len(loss_w)}")
tf_flag = "⚠️" if len(trapped)>30 else ""
print(f" {_('套牢盘(浮亏>20%', 'Underwater (>20% loss)')} {len(trapped)} {_('持仓', 'hold')} {pct(sum(h['amount_percentage'] for h in trapped)):.2f}% {tf_flag}")
print(f" {_('套牢盘(浮亏>20%', 'Underwater (>20% loss)')} {len(trapped)} {_('持仓', 'hold')} {pct(trapped_pct):.2f}% {tf_flag}")
print(f" {_('平均持仓时长', 'Avg hold duration')} {avg_hold_days:.1f} {_('', 'days')}")
print()
@@ -664,7 +828,20 @@ if goods:
print(f" {_('积极因素', 'Positives')}:")
for g in goods: print(f" · {g}")
hf = "🔴" if healthy_ratio<0.3 else ("🟡" if healthy_ratio<0.5 else "🟢")
print(f"\n {_('健康筹码', 'Healthy chips')} {pct(healthy_ratio):.1f}% {hf} DEX {pct(dex_pct):.1f}% {_('不纳入评估', 'excluded from eval')}")
print(f"\n {_('健康筹码', 'Healthy chips')} {pct(healthy_ratio):.1f}% {hf} ({_('占观测到的钱包筹码', 'share of observed wallet chips')})")
if burn_pct + dex_pct > 0.001:
print(_( f" 流通盘 {pct(float_share):.1f}%(销毁 {pct(burn_pct):.1f}% + DEX {pct(dex_pct):.1f}% 已剔除,不纳入评估) Top100 覆盖流通盘 {pct(coverage):.0f}%",
f" Float {pct(float_share):.1f}% (burn {pct(burn_pct):.1f}% + DEX {pct(dex_pct):.1f}% excluded) Top100 covers {pct(coverage):.0f}% of float"))
else:
# 没有销毁也没有 LP 行,就别写"已剔除 0.0%"
print(_( f" 流通盘 100%(未发现销毁地址与 DEX 池) Top100 覆盖流通盘 {pct(coverage):.0f}%",
f" Float 100% (no burn address or DEX pool found) Top100 covers {pct(coverage):.0f}% of float"))
print(_( " 以上持仓占比均以流通盘为分母;Top100 未覆盖的部分意味着这些占比是下限",
" Percentages above are share of tradeable float; they are floors — Top100 does not cover the entire float"))
if coverage < 0.5:
# 覆盖率低时,"占比小"只说明 Top100 之外还有很多筹码,不能读成利好
print(_( f" ⚠️ Top100 只覆盖了流通盘的 {pct(coverage):.0f}%,占比偏低的指标属于未知而非利好",
f" ⚠️ Top100 covers only {pct(coverage):.0f}% of float — low percentages mean unknown, not good"))
print()
print(f" {_('关注以下信号,出现则考虑离场:', 'Watch for these exit signals:')}")
for sig in exit_signals: