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fix(holder-analysis): stop rendering divide-by-zero noise and empty data as conclusions (#201)
* enhance skill * fix(holder-analysis): stop reporting artifacts and empty data as verdicts The report could reach a confident rating from numbers that carried no information. Six fixes, all of the same shape: never turn a divide-by-zero or an empty set into a conclusion. - Degenerate float guard (FLOAT_MIN 2%): when burn + DEX hold nearly all supply, every `/ float_share` inflated dust wallets to double digits. A wallet holding ~$2 was rated "largest wallet holds 100% — extreme concentration → Not Recommended". Now prints absolute token/USD figures, forces percentage flags to ⚪ and rates ⚪ Cannot Assess. The dev sock-puppet rule uses no percentage, so it still escalates to 🔴. - Empty holder list: upstream returns {"list":[]} for dead or de-indexed tokens. Every percentage read 0.00%, no threshold fired, and the report printed "no obvious dump risk" and "Normal" — a positive verdict on zero data. Same treatment as above, plus "none found 🟢" lines become ⚪. - Coverage caveat now follows actual coverage: floors below 99.5%, complete values when Top100 covers the whole float. It previously contradicted the line directly above it. - Chip quality split into three exclusive buckets (bought-in / zero-cost airdrop / risk-tagged) instead of one healthy ratio that collapsed to "0.0% 🔴" on any airdrop-distributed token. 🔴 is reserved for risk-tagged >30%: unknown provenance is not proven-bad. - Diamond hands now require buy_tx_count_cur > 0. Never-bought wallets were counted as diamond hands, so an airdropped token claimed both "airdrop 79% 🔴" and "diamond hands 80% ✅" from the same wallets. They are now a separate Idle airdrop line. - ATH staleness: upstream ath_price has been seen equal to price_24h, so creator_ath_info.ath_mc can sit below current MC. Cannot be recomputed here, so it is flagged rather than presented as the dev's peak. Also fixes a NameError in the dev created-tokens Top3 loop (mig_lcomabel assigned, mig_label read) that fired for any dev with a non-empty tokens array. Verified on live data in zh and en: a degenerate-float token, an empty-holder token, and a token with real holders; the full-coverage and created-tokens branches were covered with a stub CLI. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(holder-analysis): 无法评估时不再打印流通盘占比数字 上一版只把旗标中和成 ⚪，占比数字照原样打印。实测退化流通盘（可流通 0.0035%）的输出里仍有 17 处除零产物，同一份报告同时出现 "hold 100.00%" 和 "hold 0.00%"： · Rat Trader 1 hold 100.00% 🚨 ← 该钱包实际只握着约 $2 代币 Batch1(1d ago) 15 wallets hold 100.00% 🟢 ← 数字和旗标同时错 KOL 1 hold 0.00% ✅ ← 这一行连 ⚪ 都没有 顶部横幅只解释一次，读者扫到这些行仍会当成结论。改为所有流通盘占比统一走 新的 fpct()，无法评估时渲染 n/a / 无法评估；入场批次旗标补上 pf()。 保留照常打印的部分：钱包个数、代币数量、美元金额、市值（都不经过 float_share），以及总供应口径的百分比（burn / DEX / 流通盘自身 / 筹码质量 三桶，分母不受影响）。 可评估路径为严格 no-op：同一份 stub 数据下中英文输出与改动前逐字节相同。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> --------- Co-authored-by: Jiujiu Pan <panjiujiu@quantbay.tech> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Jiujiu
co-authored by
Claude Opus 5
Jiujiu Pan
Claude Opus 5
Jiujiu Pan
parent
87e650270e
commit
986902a4de
@@ -27,727 +27,33 @@ python3 ~/.claude/skills/gmgn-holder-analysis/analyze.py <FILL_IN_TOKEN_ADDRESS>
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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.
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<!-- legacy inline script kept below for reference — DO NOT run this block -->
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<!--
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```python
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python3 << 'PYEOF'
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import json, subprocess, time
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from collections import defaultdict
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from concurrent.futures import ThreadPoolExecutor
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TOKEN_ADDR = "<FILL_IN_TOKEN_ADDRESS>"
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CHAIN = "<FILL_IN_CHAIN>"
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LANG = "<FILL_IN_LANG>" # 'zh' or 'en'
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WINDOW = 1800
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now_ts = int(time.time())
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ZH = (LANG == 'zh')
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def _(zh, en): return zh if ZH else en
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def run_cli(args, timeout=30):
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r = subprocess.run(['gmgn-cli'] + args + ['--raw'],
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capture_output=True, text=True, timeout=timeout)
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if r.returncode != 0:
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raise RuntimeError(r.stderr)
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return json.loads(r.stdout)
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# Fetch holders and devs in parallel, then created-tokens after extracting creator
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with ThreadPoolExecutor(max_workers=2) as ex:
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f_holders = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--limit', '100'])
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f_devs = ex.submit(run_cli, ['token', 'holders', '--chain', CHAIN, '--address', TOKEN_ADDR, '--tag', 'dev', '--limit', '20'])
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holders = f_holders.result()['list']
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devs = f_devs.result()['list']
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_creator_tmp = next((d for d in devs if 'creator' in (d.get('maker_token_tags') or [])), None)
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created_data = None
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if _creator_tmp:
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try:
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created_data = run_cli(['portfolio', 'created-tokens', '--chain', CHAIN,
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'--wallet', _creator_tmp['address'],
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'--order-by', 'market_cap', '--direction', 'desc'])
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except: pass
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# ── Wallet classification ────────────────────────────────
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# addr_type: 0=normal, 1=burn, 2=DEX/pool
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normal = [h for h in holders if h.get('addr_type', 0) == 0]
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burn = [h for h in holders if h.get('addr_type', 0) == 1]
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dex = [h for h in holders if h.get('addr_type', 0) == 2]
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# ── Helpers ──────────────────────────────────────────────
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def pct(v): return v * 100
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def usd(v):
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if v is None: return "$0"
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if abs(v) >= 1_000_000: return f"${v/1_000_000:.2f}M"
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if abs(v) >= 1_000: return f"${v/1_000:.1f}K"
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return f"${v:.0f}"
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def fmt_amt(v):
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if v >= 1_000_000: return f"{v/1_000_000:.1f}M"
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if v >= 1_000: return f"{v/1_000:.0f}K"
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return f"{v:.0f}"
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def age_label(entry_ts):
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secs = now_ts - entry_ts
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days = secs // 86400
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hours = secs // 3600
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if ZH: return f"{hours}小时前入场" if days == 0 else f"{days}天前入场"
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else: return f"{hours}h ago" if days == 0 else f"{days}d ago"
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def addr_short(addr):
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return f"{addr[:4]}...{addr[-4:]}"
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# ── Price / MC ───────────────────────────────────────────
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supply_list = [h['balance']/h['amount_percentage'] for h in normal
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if h.get('amount_percentage',0)>0 and h.get('balance',0)>0]
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total_supply = sorted(supply_list)[len(supply_list)//2] if supply_list else 1_000_000_000
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price_list = [h['usd_value']/h['balance'] for h in normal
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if h.get('balance',0)>0 and h.get('usd_value',0)>0]
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cur_price = sorted(price_list)[len(price_list)//2] if price_list else 0
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cur_mc = total_supply * cur_price
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burn_pct = sum(h['amount_percentage'] for h in burn)
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dex_pct = sum(h['amount_percentage'] for h in dex)
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top10 = sum(h['amount_percentage'] for h in holders[:10])
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top20 = sum(h['amount_percentage'] for h in holders[:20])
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# ── Risk wallets ─────────────────────────────────────────
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# maker_token_tags: bundler, rat_trader, sniper, whale, top_holder, transfer_in, dev_team, creator
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# tags: smart_degen, pump_smart, renowned, fresh_wallet, wash_trader, fomo, kol
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airdrop = [h for h in normal if h.get('buy_tx_count_cur', 0)==0 and h.get('balance', 0)>0]
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bundlers = [h for h in normal if 'bundler' in (h.get('maker_token_tags') or [])]
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rats = [h for h in normal if 'rat_trader' in (h.get('maker_token_tags') or [])]
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snipers = [h for h in normal if 'sniper' in (h.get('maker_token_tags') or [])]
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fresh = [h for h in normal if 'fresh_wallet' in (h.get('tags') or [])]
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wash = [h for h in normal if 'wash_trader' in (h.get('tags') or [])]
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risk_all = set(h['address'] for g in [bundlers, rats, snipers, fresh, wash] for h in g)
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risk_pct = sum(h['amount_percentage'] for h in normal if h['address'] in risk_all)
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airdrop_pct = sum(h['amount_percentage'] for h in airdrop)
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rats_pct = sum(h['amount_percentage'] for h in rats)
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# ── Healthy chip ratio ───────────────────────────────────
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normal_pct = sum(h['amount_percentage'] for h in normal)
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all_bad = set(h['address'] for h in airdrop) | risk_all
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bad_pct = sum(h['amount_percentage'] for h in normal if h['address'] in all_bad)
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healthy_pct = max(normal_pct - bad_pct, 0)
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healthy_ratio = (healthy_pct / normal_pct) if normal_pct > 0 else 0
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# ── Related wallets ──────────────────────────────────────
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from_map = defaultdict(list)
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for h in normal:
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fa = (h.get('native_transfer') or {}).get('from_address', '')
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if fa: from_map[fa].append(h)
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same_src_groups = sorted([(fa, ws) for fa, ws in from_map.items() if len(ws)>=2], key=lambda x: -len(x[1]))
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same_src_wallets = sum(len(ws) for __,ws in same_src_groups)
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same_src_pct = sum(h['amount_percentage'] for __,ws in same_src_groups for h in ws)
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funded = [((h.get('native_transfer') or {}).get('timestamp',0), h)
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for h in normal if (h.get('native_transfer') or {}).get('timestamp',0)]
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bucket = defaultdict(list)
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for ts, h in funded:
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bucket[(ts//WINDOW)*WINDOW].append(h)
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win_groups = sorted([(k,v) for k,v in bucket.items() if len(v)>=2], key=lambda x: -len(x[1]))
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win_pct = sum(h['amount_percentage'] for __,v in win_groups for h in v)
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related = set()
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for __,ws in same_src_groups:
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for h in ws: related.add(h['address'])
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for __,v in win_groups:
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for h in v: related.add(h['address'])
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related_pct = sum(h['amount_percentage'] for h in normal if h['address'] in related)
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related_usd = sum(h.get('usd_value',0) for h in normal if h['address'] in related)
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# ── Quality signals ──────────────────────────────────────
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smart = [h for h in normal if any(t in (h.get('tags') or []) for t in ['smart_degen','pump_smart'])]
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kol = [h for h in normal if 'kol' in (h.get('tags') or []) or 'renowned' in (h.get('tags') or [])]
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whales = [h for h in normal if 'whale' in (h.get('maker_token_tags') or [])]
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diamond = [h for h in normal if h.get('sell_tx_count_cur',0)==0 and h.get('balance',0)>0]
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partial = [h for h in normal if 0<(h.get('sell_amount_percentage') or 0)<0.5]
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heavy_sell = [h for h in normal if (h.get('sell_amount_percentage') or 0)>=0.5]
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smart_pct = sum(h['amount_percentage'] for h in smart)
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kol_pct = sum(h['amount_percentage'] for h in kol)
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whale_pct = sum(h['amount_percentage'] for h in whales)
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diamond_pct = sum(h['amount_percentage'] for h in diamond)
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# ── Dev data ─────────────────────────────────────────────
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top100_map = {h['address']: h for h in holders}
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creator = next((d for d in devs if 'creator' in (d.get('maker_token_tags') or [])), None)
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sub_devs = [d for d in devs if 'creator' not in (d.get('maker_token_tags') or [])]
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dev_realized = sum(d.get('realized_profit') or 0 for d in devs)
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dev_holding = [d for d in devs if (d.get('balance') or 0)>=1]
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# ── Holding metrics ──────────────────────────────────────
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valid_starts = [h['start_holding_at'] for h in holders if (h.get('start_holding_at') or 0)>0]
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token_launch = min(valid_starts) if valid_starts else now_ts
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durations = [now_ts-h['start_holding_at'] for h in normal
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if (h.get('start_holding_at') or 0)>0 and now_ts>h['start_holding_at']]
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avg_hold_days = (sum(durations)/len(durations)/86400) if durations else 0
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profit_w = [h for h in normal if (h.get('profit') or 0)>0]
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loss_w = [h for h in normal if (h.get('profit') or 0)<0]
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trapped = [h for h in normal if (h.get('unrealized_pnl') or 0)<-0.2 and h.get('balance',0)>0]
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# ── Buying power ─────────────────────────────────────────
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# SOL: native_balance in lamports (1e9); EVM: in wei (1e18)
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NATIVE_PRICE = 160 if CHAIN == 'sol' else (700 if CHAIN == 'bsc' else 2500)
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NATIVE_DENOM = 1e9 if CHAIN == 'sol' else 1e18
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def native_usd(h): return int(h.get('native_balance') or 0)/NATIVE_DENOM*NATIVE_PRICE
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zero_wallets = [h for h in normal if native_usd(h)==0]
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low_wallets = [h for h in normal if 0 < native_usd(h) <= 200]
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mid_wallets = [h for h in normal if 200 < native_usd(h) <= 1200]
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high_wallets = [h for h in normal if native_usd(h) > 1200]
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zero_pct_val = sum(h['amount_percentage'] for h in zero_wallets)
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low_pct_val = sum(h['amount_percentage'] for h in low_wallets)
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mid_pct_val = sum(h['amount_percentage'] for h in mid_wallets)
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high_pct_val = sum(h['amount_percentage'] for h in high_wallets)
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high_total = sum(native_usd(h) for h in high_wallets)
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total_buying_power = sum(native_usd(h) for h in normal)
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# ── Wallet roles / behaviors ─────────────────────────────
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ROLE_MAP = {
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'rat_trader': _('老鼠仓', 'Rat Trader'),
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'sniper': _('狙击', 'Sniper'),
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'bundler': _('捆绑', 'Bundler'),
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'whale': _('鲸鱼', 'Whale'),
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'smart_degen': _('聪明钱', 'Smart'),
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'pump_smart': _('聪明钱', 'Smart'),
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'renowned': 'KOL',
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'kol': 'KOL',
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'fresh_wallet': _('新钱包', 'Fresh'),
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'wash_trader': _('刷量', 'Wash'),
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'creator': 'Dev',
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'dev_team': 'Dev',
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}
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def wallet_roles(h):
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roles = []
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for t in (h.get('maker_token_tags') or [])+(h.get('tags') or []):
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if t in ROLE_MAP: roles.append(ROLE_MAP[t])
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return list(dict.fromkeys(roles))
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def holding_status(h):
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sp = h.get('sell_amount_percentage', 0) or 0
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bal = h.get('balance', 0) or 0
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if bal <= 0: return _("已清仓", "Cleared")
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if sp >= 0.8: return _("🔴 大量出货", "🔴 Heavy Selling")
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if sp >= 0.3: return _("🟡 出货中", "🟡 Selling")
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if sp > 0: return _("少量出货", "Light Selling")
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return _("持仓未动", "Holding")
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def wallet_behavior(h):
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buy_tx = h.get('buy_tx_count_cur', 0) or 0
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sell_tx = h.get('sell_tx_count_cur', 0) or 0
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if buy_tx==0 and sell_tx==0: return _("几乎无链上活动", "Almost no on-chain activity")
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if buy_tx>0 and sell_tx==0: return _("持续买入，尚未卖出", "Buying only, not sold yet")
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if sell_tx>0 and buy_tx==0: return _("只卖不买", "Selling only")
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return ""
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def trend_str(wlist):
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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]
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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]
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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]
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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]
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parts = []
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if buying: parts.append(f"📈 {_('买入中', 'Buying')} {len(buying)}")
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if selling: parts.append(f"📉 {_('卖出中', 'Selling')} {len(selling)}")
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if both: parts.append(f"🔄 {_('买卖都有', 'Both')} {len(both)}")
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if holding: parts.append(f"🤝 {_('未动', 'Holding')} {len(holding)}")
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return " ".join(parts) if parts else "—"
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def is_active(h): return (h.get('buy_tx_count_cur') or 0)+(h.get('sell_tx_count_cur') or 0)>0
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def is_selling(h): return (h.get('sell_tx_count_cur') or 0)>0 and (h.get('balance') or 0)>=1
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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
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# ── Rating ───────────────────────────────────────────────
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biggest = max(normal, key=lambda h: h['amount_percentage']) if normal else None
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dangers = []
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if rats and rats_pct > 0.1:
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dangers.append(_( f"老鼠仓持仓 {pct(rats_pct):.1f}%，出货即砸盘",
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f"Rat traders hold {pct(rats_pct):.1f}% — instant dump risk"))
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if biggest and biggest['amount_percentage'] > 0.15:
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dangers.append(_( f"最大单钱包持仓 {pct(biggest['amount_percentage']):.1f}%，筹码极度集中",
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f"Largest wallet holds {pct(biggest['amount_percentage']):.1f}% — extreme concentration"))
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if creator:
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to_out = creator.get('token_transfer_out') or {}
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if (to_out.get('address') or '') in top100_map:
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dangers.append(_("Dev 筹码转给内部马甲，换手控盘",
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"Dev transferred chips to internal wallet — covert control"))
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warns = []
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if dev_holding:
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hold_pct_val = sum(d.get('amount_percentage',0) for d in dev_holding)
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if hold_pct_val > 0.01:
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warns.append(_( f"Dev 仍持仓 {pct(hold_pct_val):.2f}%",
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f"Dev still holds {pct(hold_pct_val):.2f}%"))
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if airdrop_pct > 0.15:
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warns.append(_( f"空降筹码 {pct(airdrop_pct):.1f}%，来源不透明",
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f"Airdrop supply {pct(airdrop_pct):.1f}% — opaque origin"))
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if risk_pct > 0.3:
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warns.append(_( f"风险钱包持仓 {pct(risk_pct):.1f}%，筹码质量差",
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f"Risk wallets hold {pct(risk_pct):.1f}% — low chip quality"))
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||||
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, a float percentage is a floor **when
|
||||
those 100 wallets do not cover the whole float**; the footer reports the actual coverage and states
|
||||
which case applies — floors when coverage <99.5%, complete values when the top 100 cover all of it.
|
||||
|
||||
When burn + DEX leave less than 2% of supply tradeable (typically a launchpad token before
|
||||
migration), the float denominator degenerates: every `/ float_share` inflates dust wallets to
|
||||
double digits or 100%. The script detects this, prints a banner with absolute token/USD figures
|
||||
instead, and sets the rating to ⚪ Cannot Assess.
|
||||
|
||||
The same suppression applies when `token holders` returns an empty list (token has no active
|
||||
holders left, or upstream stopped indexing it). Every percentage would render 0.00% and every
|
||||
threshold would pass, so the report would otherwise read "✅ Normal — no obvious dump risk". The
|
||||
script prints a no-data banner instead, replaces each "none found 🟢" line with ⚪, and rates
|
||||
⚪ Cannot Assess. "No data" is never reported as "no risk".
|
||||
|
||||
In both cases **no float percentage is printed at all** — every one renders as `n/a` (`无法评估`)
|
||||
and every percentage flag renders ⚪. Printing the number with a caveat was not enough: a
|
||||
divide-by-zero float puts `hold 100.00%` and `hold 0.00%` in the same report, and a reader
|
||||
skimming past the banner reads `Rat Trader 1 hold 100.00%` as a finding. Wallet counts, token
|
||||
amounts, USD values, and market caps still print — they do not pass through `float_share`.
|
||||
Percentages on a **total-supply** basis also still print (`burn`, `DEX`, float share itself, and
|
||||
the chip-quality buckets), because those denominators are unaffected.
|
||||
|
||||
### Holder object key fields
|
||||
|
||||
| Field | Type | Meaning |
|
||||
@@ -760,17 +66,23 @@ 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 +91,65 @@ 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% |
|
||||
| 无法评估 | Cannot Assess | ⚪ | Tradeable float <2% of supply, **or** upstream returned zero holders (all percentage rules suppressed; dev sock puppet still escalates to 🔴) |
|
||||
| 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%.
|
||||
Diamond hands require `buy_tx_count_cur > 0` — a wallet that never bought has no cost to hold
|
||||
through, so zero-cost airdrop recipients are reported separately as "空降未动 / Idle airdrop"
|
||||
rather than being credited as diamond hands.
|
||||
|
||||
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.
|
||||
|
||||
### Chip quality (footer)
|
||||
|
||||
Three mutually exclusive buckets over the chips held by observed wallets (denominator is
|
||||
`normal_pct`, i.e. total-supply basis, not float): **bought in with no risk tag** / **zero-cost
|
||||
airdrop** / **risk-tagged**. They are reported separately rather than collapsed into one
|
||||
"healthy chips" number, because a risk tag means a proven-bad address while zero-cost airdrop only
|
||||
means unknown provenance.
|
||||
|
||||
Headline flag, first match wins: 🔴 risk-tagged >30% · 🟢 clean ≥50% · 🟡 clean ≥30% · 🟡 when
|
||||
zero-cost airdrop accounts for ≥80% of the non-clean remainder · 🔴 otherwise. So an
|
||||
airdrop-distributed token reads 🟡 with its composition spelled out, not "healthy chips 0.0% 🔴".
|
||||
|
||||
The composition is total-supply based, so it survives a degenerate float and its three percentages
|
||||
still print — but the headline flag is neutralized to ⚪ (and the chips' share of supply appended)
|
||||
whenever the rating is ⚪ Cannot Assess, since a 🔴/🟢 verdict over dust-level chips would
|
||||
contradict the rating above it.
|
||||
|
||||
## Supported Chains
|
||||
|
||||
`sol`, `bsc`, `base`, `eth`, `robinhood`, `arc`, `stable`
|
||||
@@ -802,7 +157,19 @@ 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.
|
||||
- `creator_ath_info.ath_mc` can lag behind the token's current MC after a fast pump (upstream
|
||||
`ath_price` has been seen equal to `price_24h`). The script cannot recompute it, so when the
|
||||
reported ATH sits more than 5% below the current MC it prints a staleness warning next to the
|
||||
figure instead of presenting it as the dev's peak.
|
||||
|
||||
@@ -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']
|
||||
@@ -50,11 +64,26 @@ 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]
|
||||
|
||||
def pct(v): return v * 100
|
||||
def pct_s(v):
|
||||
"""退化流通盘只有 0.0035% 这种量级，固定两位小数会打成 "0.00%"，读起来就是真零 ——
|
||||
而"零"和"极小但非零"在这里是两个不同结论。低于 0.01% 时切成有效数字。"""
|
||||
p = pct(v)
|
||||
if p <= 0: return "0%"
|
||||
if p < 0.01: return f"{p:.2g}%"
|
||||
return f"{p:.2f}%"
|
||||
def usd(v):
|
||||
if v is None: return "$0"
|
||||
if abs(v) >= 1_000_000: return f"${v/1_000_000:.2f}M"
|
||||
@@ -72,6 +101,11 @@ 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 +117,52 @@ 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_raw = 1.0 - burn_pct - dex_pct
|
||||
float_share = max(float_raw, 1e-9)
|
||||
|
||||
# ── 流通盘退化保护 ──────────────────────────────────────────────────────
|
||||
# DEX 池（或销毁地址）吃掉几乎全部供应时 float_share 趋零，于是每个 `/ float_share`
|
||||
# 都把尘埃钱包放大成两位数甚至 100%：实测过一个未迁移的盘，LP 占 99.9%，一个只握着
|
||||
# 约 $2 代币的钱包被判成"最大单钱包持仓 100%，筹码极度集中"，评级直接给到 🔴 不建议买。
|
||||
# 那个 100% 是除零噪声，不是集中度。这类币的正确结论是"此刻无法评估筹码结构"。
|
||||
# 阈值取 2%：低于这个比例，Top100 里任何一个尘埃钱包都能占到"流通盘"的两位数百分比。
|
||||
FLOAT_MIN = 0.02
|
||||
float_degenerate = float_raw < FLOAT_MIN
|
||||
|
||||
# ── 空持仓表保护 ────────────────────────────────────────────────────────
|
||||
# 上游 token holders 会返回 {"list":[]}（币彻底凉了、或索引里已经没有这个盘）。
|
||||
# 此时每个占比都是 0，dangers/warns 一条都不触发，级联会一路落到"🟢 集中度正常，
|
||||
# 没发现明显砸盘风险"和"✅ 正常参与"—— 对一份零数据的报告给出正面结论，
|
||||
# 比不给结论危险得多。"没有数据"必须显式说出来。
|
||||
no_holders = len(normal) == 0
|
||||
unassessable = float_degenerate or no_holders
|
||||
|
||||
# 无法评估时百分比一律不上色 —— "0.00% 🔴" 或 "0.0% 🟢" 读起来像结论，其实只是除零/空集
|
||||
def pf(f): return "⚪" if unassessable else f
|
||||
|
||||
# 无法评估时干脆不打印这个占比数字。分母趋零时同一份报告里会同时出现 "hold 100.00%"
|
||||
# 和 "hold 0.00%"，两个都是除零产物而不是持仓事实。顶部横幅只解释了一次，读者扫到
|
||||
# "KOL 1 hold 0.00%" 仍然会读成"KOL 没拿货"。钱包个数不经过 float_share，照常打印。
|
||||
def fpct(v, dec=2): return _("无法评估", "n/a") if unassessable else f"{pct(v):.{dec}f}%"
|
||||
|
||||
# ── 流通盘换算只走这两个函数 ─────────────────────────────────────────────
|
||||
# 不要再手写 `/ float_share`。漏掉一次除法就退回总供应基准，数字看上去仍然合理、
|
||||
# 也不会报错 —— 正是本次迁移要修掉的那类 bug。集中成两个函数后，漏除法就是漏调用，
|
||||
# 一眼能看出来。
|
||||
# fs 故意用下标 h['amount_percentage'] 取字段：字段缺失时直接 KeyError 而不是静默算 0。
|
||||
def fs(ws): return sum(h['amount_percentage'] for h in ws) / float_share # 一组钱包的合计占比
|
||||
def f1(v): return v / float_share # 单个已取出的占比值
|
||||
|
||||
# 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 = fs(normal[:10])
|
||||
top20 = fs(normal[:20])
|
||||
|
||||
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 [])]
|
||||
@@ -92,53 +170,156 @@ 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)
|
||||
# ── 风险标签的唯一定义处 ────────────────────────────────────────────────
|
||||
# 去重合计（risk_all）、重叠计数（risk_tag_hits）、§1 的分类明细渲染，三处都从这里派生。
|
||||
# 之前这五类各自写成三份字面量列表：加第六类标签要改三个地方，漏掉 risk_all 会让
|
||||
# "合计"少算而明细照常打印，输出自相矛盾且不报错。列表顺序即输出顺序。
|
||||
RISK_GROUPS = [
|
||||
(_("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, ""),
|
||||
]
|
||||
risk_all = set(h['address'] for _lb, g, _fl in RISK_GROUPS for h in g)
|
||||
risk_pct = fs(h for h in normal if h['address'] in risk_all)
|
||||
# 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 _lb, g, _fl in RISK_GROUPS)
|
||||
risk_overlap = risk_tag_hits - len(risk_all)
|
||||
# 这两个只在 §1 小结的级联里用到，但属于计算而非渲染，放在同类指标旁边
|
||||
bundler_pct_val = fs(bundlers)
|
||||
sniper_pct_val = fs(snipers)
|
||||
|
||||
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
|
||||
airdrop_pct = fs(airdrop)
|
||||
rats_pct = fs(rats)
|
||||
|
||||
# ── 筹码质量分解 ────────────────────────────────────────────────────────
|
||||
# 三个桶都保持总供应基准，分母是观测到的钱包筹码（normal_pct）：这是"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。
|
||||
#
|
||||
# 旧版把"空降"和"风险标签"并成一个 all_bad 再取补集，压成单个 healthy_ratio。后果是
|
||||
# 任何空投分发的币都塌成"健康筹码 0.0% 🔴"—— 和同一段里"钻石手持仓 80% ✅、Top10 12%"
|
||||
# 直接打架，而且抹掉了结构：读者看不出这 0% 是因为有老鼠仓，还是仅仅因为筹码是转账来的。
|
||||
# 拆开的依据是两者性质不同：风险标签是"这个地址有前科"（已证实的坏），零成本空降是
|
||||
# "不知道这批筹码怎么来的"（来源未知）。未知不该和已证实的坏共用一个 🔴。
|
||||
risk_chip_pct = sum(h['amount_percentage'] for h in normal if h['address'] in risk_all)
|
||||
airdrop_only = [h for h in airdrop if h['address'] not in risk_all] # 与风险标签去重，避免重复计
|
||||
airdrop_only_pct = sum(h['amount_percentage'] for h in airdrop_only)
|
||||
normal_pct = sum(h['amount_percentage'] for h in normal)
|
||||
clean_pct = max(normal_pct - risk_chip_pct - airdrop_only_pct, 0)
|
||||
clean_ratio = (clean_pct / normal_pct) if normal_pct > 0 else 0
|
||||
risk_ratio = (risk_chip_pct / normal_pct) if normal_pct > 0 else 0
|
||||
airdrop_ratio = (airdrop_only_pct / normal_pct) if normal_pct > 0 else 0
|
||||
# 🔴 只留给"有前科的地址占了大头"这种确定的坏。缺口主要来自零成本空降时给 🟡：
|
||||
# 那是来源不透明的风险提示，不是"筹码已证实劣质"的结论。
|
||||
if risk_ratio > 0.30: qf = "🔴"
|
||||
elif clean_ratio >= 0.50: qf = "🟢"
|
||||
elif clean_ratio >= 0.30: qf = "🟡"
|
||||
elif airdrop_ratio >= (1 - clean_ratio) * 0.8: qf = "🟡" # 缺口几乎全是空降
|
||||
else: qf = "🔴"
|
||||
# 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(f1(normal_pct), 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]))
|
||||
# 丢弃项命名为 _src（来源地址）而不是 __ —— 单下划线 `_` 是本文件的 i18n 函数，
|
||||
# `__` 看起来像与它相关的东西，容易误读
|
||||
same_src_wallets = sum(len(ws) for _src, ws in same_src_groups)
|
||||
weak_src_wallets = sum(len(ws) for _src, ws in weak_src_groups)
|
||||
same_src_pct = fs(h for _src, ws in same_src_groups for h in ws)
|
||||
weak_src_pct = fs(h for _src, ws in weak_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)
|
||||
# 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。
|
||||
# key 必须显式取 p[0]：默认的元组比较在 timestamp 相同时会继续比较第二项，
|
||||
# 也就是拿两个 dict 相比 → TypeError，整个脚本崩掉、一行输出都没有。
|
||||
# 而"同一秒被批量注资"正是本段要找的信号，时间戳撞车是常态而非边缘情况。
|
||||
funded = sorted(((_tr(h, 'timestamp', 0), h) for h in normal if _tr(h, 'timestamp', 0)),
|
||||
key=lambda p: p[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 = fs(h for v in win_groups for h in v)
|
||||
|
||||
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 _src, 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 = fs(h 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)
|
||||
|
||||
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)
|
||||
# ── 钻石手必须自己买过 ──────────────────────────────────────────────────
|
||||
# 旧定义只要 sell_tx==0 且 balance>0，于是零成本空降钱包全被算进钻石手：空投分发的币
|
||||
# 会同时打印"空降筹码 79% 🔴"和"钻石手持仓 80% ✅ 筹码稳定"，同一批钱包被数了两次、
|
||||
# 结论还相反。"钻石手"的含义是扛住了浮亏没卖 —— 没花钱买入的地址无所谓扛，
|
||||
# 它不卖可能只是私钥在分发方手里。所以要求 buy_tx>0。
|
||||
# 空降且未动的那批不丢弃，单独列成 idle_airdrop：它们仍是随时可能出货的零成本筹码。
|
||||
diamond = [h for h in normal if (h.get('buy_tx_count_cur') or 0)>0
|
||||
and (h.get('sell_tx_count_cur') or 0)==0
|
||||
and (h.get('balance') or 0)>0]
|
||||
idle_airdrop = [h for h in normal if (h.get('buy_tx_count_cur') or 0)==0
|
||||
and (h.get('sell_tx_count_cur') or 0)==0
|
||||
and (h.get('balance') or 0)>0]
|
||||
|
||||
smart_pct = fs(smart)
|
||||
kol_pct = fs(kol)
|
||||
whale_pct = fs(whales)
|
||||
diamond_pct = fs(diamond)
|
||||
idle_airdrop_pct = fs(idle_airdrop)
|
||||
|
||||
# §4 小结的判据。原先夹在 §4 的两条 print 之间 —— 本文件的约定是"计算全在渲染之前"，
|
||||
# 放回这里让那条边界重新成立
|
||||
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]
|
||||
|
||||
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 +335,47 @@ 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 = fs(profit_w)
|
||||
loss_pct = fs(loss_w)
|
||||
trapped = [h for h in normal if (h.get('unrealized_pnl') or 0)<-0.2 and h.get('balance',0)>0]
|
||||
trapped_pct = fs(trapped)
|
||||
|
||||
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]
|
||||
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'),
|
||||
@@ -199,6 +406,14 @@ def holding_status(h):
|
||||
if sp > 0: return _("少量出货", "Light Selling")
|
||||
return _("持仓未动", "Holding")
|
||||
|
||||
# §5 要数"这批钱包里有几个在出货"。原先的写法是把 holding_status(h) 的返回值
|
||||
# 和两条本地化文案做字符串比对 —— 那是给人看的显示文本：改一个 emoji 或改一个词，
|
||||
# 这里就会静默返回空列表，sell_ratio 变 0，每个批次都被降级成 🟢，而且不报任何错。
|
||||
# 改成直接复用 holding_status 的同一组阈值：余额>0 且已卖出量≥30%，
|
||||
# 等价于原来的 {🔴 大量出货, 🟡 出货中} 两个分支。
|
||||
def is_distributing(h):
|
||||
return (h.get('balance', 0) or 0) > 0 and (h.get('sell_amount_percentage', 0) or 0) >= 0.3
|
||||
|
||||
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
|
||||
@@ -208,29 +423,45 @@ 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)}")
|
||||
if adding: parts.append(f"📈 {_('加仓中', '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 = f1(biggest['amount_percentage']) 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）
|
||||
# 流通盘退化时这些阈值判的全是除零噪声（详见 float_degenerate），一条都不能计入评级 ——
|
||||
# 不依赖百分比的判据（Dev 马甲）不受影响，照常检查。
|
||||
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 not float_degenerate:
|
||||
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_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:
|
||||
@@ -238,22 +469,36 @@ if creator:
|
||||
"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 no_holders:
|
||||
warns.append(_( "上游未返回任何持仓地址，筹码结构无法评估（本报告所有占比均为空集，不是 0%）",
|
||||
"Upstream returned no holder addresses — chip structure not assessable (every percentage here is an empty set, not a real 0%)"))
|
||||
elif float_degenerate:
|
||||
# 唯一还成立的结论就是"这盘子还没放开，没法评"。给出的是绝对值而不是百分比。
|
||||
warns.append(_( f"流通盘仅占总供应 {pct_s(float_raw)}（DEX {pct(dex_pct):.1f}% + 销毁 {pct(burn_pct):.1f}%），筹码结构无法评估",
|
||||
f"Float is only {pct_s(float_raw)} of supply (DEX {pct(dex_pct):.1f}% + burn {pct(burn_pct):.1f}%) — chip structure not assessable"))
|
||||
else:
|
||||
if dev_holding:
|
||||
# dev 来自另一个 endpoint，字段可能缺失，所以先用 .get 求和再交给 f1 换算，
|
||||
# 不走 fs（fs 用下标取字段）
|
||||
hold_pct_val = f1(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 > 0.2:
|
||||
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 > 0.35:
|
||||
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 > 0.15:
|
||||
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}%"))
|
||||
|
||||
if dangers:
|
||||
if unassessable and not dangers:
|
||||
# Dev 马甲那条（唯一不依赖百分比的 danger）若成立就照常给 🔴；否则不下结论。
|
||||
# 退化 / 空数据时"没发现问题"和"评级正常"是两件事，不能让它落到 ✅ 正常参与。
|
||||
rating_em, rating_text = "⚪", _("无法评估", "Cannot Assess")
|
||||
elif dangers:
|
||||
rating_em, rating_text = "🔴", _("不建议买", "Not Recommended")
|
||||
elif len(warns) >= 2:
|
||||
rating_em, rating_text = "⚠️", _("谨慎参与", "Caution")
|
||||
@@ -272,9 +517,10 @@ if whales:
|
||||
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:
|
||||
# 钱包个数是实打实的；退化时占比是噪声，就只报个数
|
||||
goods.append(_( f"KOL {len(kol)} 个在场" + ("" if float_degenerate else f"（{pct(kol_pct):.2f}%）"),
|
||||
f"{len(kol)} KOL(s) holding" + ("" if float_degenerate else f" ({pct(kol_pct):.2f}%)")))
|
||||
if diamond_pct > 0.5 and not float_degenerate:
|
||||
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 +529,7 @@ 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 +547,12 @@ 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 +560,19 @@ 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 = "⚠️ " + _("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")
|
||||
note = _(f"现 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 = "🟡 " + _("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")
|
||||
@@ -340,55 +588,89 @@ print(f"│{(' MC '+usd(cur_mc)):^56}│")
|
||||
print(f"└{'─'*56}┘")
|
||||
print()
|
||||
|
||||
if no_holders:
|
||||
# 空数据也必须在所有 0.00% 之前说清楚，否则整份报告读起来像"干净得没有任何风险"
|
||||
print(f" ⚠️ {_('上游未返回任何持仓地址 —— 筹码结构无法评估', 'Upstream returned no holder addresses — chip structure not assessable')}")
|
||||
print(_( " 下方所有占比与计数都是空集的渲染结果，不是“该项为 0”；评级已置为“无法评估”。",
|
||||
" Every percentage and count below renders an empty set, not a measured zero. Rating is set to “Cannot Assess”."))
|
||||
print(_( " 常见原因：代币已无活跃持仓、或上游索引里已不再收录该盘。可稍后重试确认。",
|
||||
" Usual causes: the token has no active holders left, or upstream no longer indexes it. Retry later to confirm."))
|
||||
print()
|
||||
|
||||
if float_degenerate:
|
||||
# 退化时这行必须在所有百分比之前出现，否则读者会先把 100% 当成集中度结论。
|
||||
# 同时给出绝对值（代币数 + 美元），这是此刻唯一有意义的量级。
|
||||
_fl_tok = total_supply * max(float_raw, 0)
|
||||
_fl_usd = _fl_tok * cur_price
|
||||
_fl_usd_s = "<$1" if 0 < _fl_usd < 1 else usd(_fl_usd)
|
||||
print(f" ⚠️ {_('流通盘退化 —— 筹码结构此刻无法评估', 'Degenerate float — chip structure not assessable right now')}")
|
||||
print(_( f" DEX 池 {pct(dex_pct):.1f}% + 销毁 {pct(burn_pct):.1f}% 占掉几乎全部供应，可流通部分只剩 {pct_s(float_raw)}",
|
||||
f" DEX {pct(dex_pct):.1f}% + burn {pct(burn_pct):.1f}% hold nearly all supply; only {pct_s(float_raw)} is tradeable"))
|
||||
print(_( f" （通常是还没迁移的 launchpad 盘）实际可流通约 {fmt_amt(_fl_tok)} 个代币 ≈ {_fl_usd_s}",
|
||||
f" (typically a launchpad token pre-migration) tradeable ≈ {fmt_amt(_fl_tok)} tokens ≈ {_fl_usd_s}"))
|
||||
print(_( " 下方“占流通盘”的百分比分母趋零，会把尘埃钱包放大成两位数甚至 100%，",
|
||||
" Float percentages below divide by a near-zero denominator, inflating dust wallets to double digits or 100%,"))
|
||||
print(_( " 不能当作集中度结论；评级已置为“无法评估”，颜色标记一律显示 ⚪。",
|
||||
" so they are not concentration findings. Rating is set to “Cannot Assess” and flags show ⚪."))
|
||||
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 = pf("🔴" if top10>0.6 else ("🟡" if top10>0.4 else "🟢"))
|
||||
c20f = pf("🔴" 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 {fpct(top10, 1)} {c10f} Top20 {fpct(top20, 1)} {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}")
|
||||
airf = pf("🔴" 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')} {fpct(airdrop_pct)} {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:
|
||||
riskf = pf("🔴" 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)} {_('个', '')} {_('持仓', 'hold')} {fpct(risk_pct)} {riskf}")
|
||||
for label, group, flag in RISK_GROUPS:
|
||||
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')} 🟢")
|
||||
gp = fpct(fs(group))
|
||||
print(f" · {label:10s} {len(group):2d} {_('个', '')} {_('持仓', 'hold')} {gp} {flag}")
|
||||
if not any(g for _lb, g, _fl in RISK_GROUPS):
|
||||
# 空持仓表时"未发现"只是没数据可查，不能打成 🟢
|
||||
if no_holders:
|
||||
print(f" · {_('没有钱包可供检查', 'No wallets available to check')} ⚪")
|
||||
else:
|
||||
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)
|
||||
if dangers:
|
||||
if no_holders:
|
||||
# 级联最后一档是"🟢 没发现明显砸盘风险"。空持仓表会一路落到那里，
|
||||
# 把"没有数据"渲染成"没有风险" —— 必须在入口就拦掉。
|
||||
sdp_summary = _( "⚪ 没有任何持仓数据，砸盘风险无法判断（不是“无风险”）",
|
||||
"⚪ No holder data at all — dump risk cannot be judged (this is not \"no risk\")")
|
||||
elif float_degenerate:
|
||||
# 这段级联里每一条判据都是流通盘占比，退化时全是噪声 —— 只能重复"没法评"
|
||||
sdp_summary = _( f"⚪ 流通盘只剩 {pct_s(float_raw)}，上面的占比都是除零放大的结果，砸盘风险无法判断",
|
||||
f"⚪ Only {pct_s(float_raw)} of supply is tradeable — the percentages above are divide-by-zero artifacts; dump risk cannot be judged")
|
||||
elif 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:
|
||||
@@ -404,9 +686,9 @@ 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 = fpct(f1(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" {_('持仓', 'hold')} {hp} {cost_str} {_('盈亏', 'pnl')} {pnl_str}")
|
||||
print(f" {_('抛压', 'pressure')} {lv} — {note}")
|
||||
print(f" {_('状态', 'status')} {st}{beh_str}")
|
||||
print()
|
||||
@@ -414,8 +696,13 @@ 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" {_('共', 'Total')} {len(devs)} {_('个钱包（1 主号 + ', 'wallets (1 main + ')}{len(sub_devs)}{_(' 小号）', ' sub)')} {dev_status}")
|
||||
else:
|
||||
@@ -427,9 +714,9 @@ 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 = f1(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}%"))
|
||||
else _(f"⚠️ 持仓 {fpct(hold_pct_c)}", f"⚠️ Holding {fpct(hold_pct_c)}"))
|
||||
print(f" {_('主号 (Creator)', 'Main (Creator)')} {addr_short(creator['address'])}")
|
||||
parts = [c_status]
|
||||
if sell_amt>0:
|
||||
@@ -451,7 +738,7 @@ 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 _('无','none')}")
|
||||
print(f" {addr_short(to_addr)} {_('持仓', 'hold')} {fpct(f1(target.get('amount_percentage') or 0))} {_('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()
|
||||
@@ -483,9 +770,19 @@ if creator:
|
||||
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()
|
||||
ath_mc = float(ath_info.get('ath_mc') or 0)
|
||||
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))}")
|
||||
# 历史最高市值低于当前市值在数学上不可能（本币此刻的市值本身就是它的历史候选），
|
||||
# 说明上游 ath 字段还没跟上这轮拉升 —— 实测 token info 的 ath_price 等于
|
||||
# price_24h，一个 24 小时涨了上百倍的币，ATH 就会停在一天前的价位。
|
||||
# 照原样打印会被当成真实峰值，进而拿去算"距离 ATH 还有多少空间"。留 5% 容差，
|
||||
# 因为 cur_mc 自己是 median(usd_value/balance) × median(supply) 的估算值。
|
||||
stale_ath = ath_mc > 0 and cur_mc > 0 and ath_mc < cur_mc * 0.95
|
||||
ath_note = "" if not stale_ath else _(
|
||||
f" ⚠️ 低于当前市值 {usd(cur_mc)}，上游 ATH 数据滞后，不可作为峰值参考",
|
||||
f" ⚠️ below current MC {usd(cur_mc)} — upstream ATH is stale, not a usable peak")
|
||||
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(ath_mc)}{ath_note}")
|
||||
print()
|
||||
|
||||
sec3 = _("🔗 关联资金", "🔗 Related Funds")
|
||||
@@ -494,51 +791,68 @@ 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}")
|
||||
relf = pf("🔴" 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。判据是钱包数与
|
||||
# 时间跨度，不含流通盘占比，所以流通盘退化时（relf 为 ⚪）这条升级依然有效。
|
||||
if tight_groups and relf in ("🟢", "⚪"): relf = "🟡"
|
||||
print(f" {_('涉及', 'Involves')} {len(related)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {fpct(related_pct)} {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}%")
|
||||
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)} {_('组', 'groups')} / {same_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {fpct(same_src_pct)}")
|
||||
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)} {_('组', 'groups')} / {weak_src_wallets} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {fpct(weak_src_pct)} {_('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')} {fpct(win_pct)} 🔴")
|
||||
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')} {fpct(win_pct)} ⚠️")
|
||||
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}%")
|
||||
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')} {fpct(win_pct)}")
|
||||
# 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')} {fpct(fs(v), 3)} {_('时间跨度', 'span')} {_span(v)}s")
|
||||
else:
|
||||
print(f" {_('时间跨度', 'Span')} {_span(win_groups[0])}s")
|
||||
else:
|
||||
print(f" └─ {_('未发现同期集中注资', 'No coordinated funding detected')}")
|
||||
print(f" └─ {_('未发现同步集中注资', 'No coordinated funding detected')}")
|
||||
else:
|
||||
print(f" {_('未发现明显关联资金', 'No significant linked funds detected')} 🟢")
|
||||
if no_holders:
|
||||
print(f" {_('没有钱包可供检查资金来源', 'No wallets available to trace funding')} ⚪")
|
||||
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")
|
||||
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 '—'}")
|
||||
# ✅/— 只表示"这类钱包在不在场"，是个数派生的、不经过 float_share，退化时依然成立，
|
||||
# 所以不走 pf()；被中和掉的只是占比数字本身。
|
||||
print(f" {_('聪明钱', 'Smart Money')} {len(smart):2d} {_('持仓', 'hold')} {fpct(smart_pct)} {'✅' 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 '—'}")
|
||||
print(f" KOL {len(kol):2d} {_('持仓', 'hold')} {fpct(kol_pct)} {'✅' 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 '—'}")
|
||||
print(f" · {name} {_('持仓', 'hold')} {fpct(f1(h['amount_percentage']))} {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')} {fpct(whale_pct)} {'✅' 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}")
|
||||
df = pf("✅" if diamond_pct>0.6 else ("🟡" if diamond_pct>0.35 else "⚠️"))
|
||||
print(f" {_('钻石手（买入过且从未卖出）', 'Diamond hands (bought & never sold)')} {len(diamond):2d} {_('持仓', 'hold')} {fpct(diamond_pct, 1)} {df}")
|
||||
if idle_airdrop:
|
||||
# 单独一行，避免读者把这批零成本筹码当成"扛住了没卖"的钻石手
|
||||
print(f" {_('空降未动（从未买入也未卖出）', 'Idle airdrop (never bought, never sold)')} {len(idle_airdrop):2d} {_('持仓', 'hold')} {fpct(idle_airdrop_pct, 1)} {_('零成本，不计入钻石手', 'zero cost — not counted as diamond hands')}")
|
||||
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")
|
||||
@@ -576,10 +890,9 @@ 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 = fs(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'))]
|
||||
selling_out = [h for h in ws if is_distributing(h)]
|
||||
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)
|
||||
@@ -611,7 +924,9 @@ for rank, (age, ws) in enumerate(sig_clusters, 1):
|
||||
holding_cnt = len([h for h in ws if is_buying_only(h)])
|
||||
sell_str = f" 🚨 {_('出货中','selling')} {selling_cnt}" if selling_cnt else ""
|
||||
hold_str = f" 📈 {_('加仓中','accumulating')} {holding_cnt}" if holding_cnt else ""
|
||||
print(f" {batch_label}{rank}{_('（', '(')}{label}{_('）', ')')} {len(ws)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {pct(total_hp):.2f}% {risk_flag}{sell_str}{hold_str}")
|
||||
# 批次占比同样以流通盘为分母 —— 退化时会把一个尘埃批次打成 "hold 100.00% 🟢"，
|
||||
# 一行之内同时给出"全部筹码"和"没风险"两个错误结论。数字和旗标都要中和。
|
||||
print(f" {batch_label}{rank}{_('（', '(')}{label}{_('）', ')')} {len(ws)} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {fpct(total_hp)} {pf(risk_flag)}{sell_str}{hold_str}")
|
||||
print(f" {mc_str}")
|
||||
print(f" ➤ {conclusion}")
|
||||
print()
|
||||
@@ -619,23 +934,39 @@ 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')} {fpct(zero_pct_val)} — → {_('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')} {fpct(low_pct_val)} {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')} {fpct(mid_pct_val)} {usd(mid_total)}")
|
||||
if high_wallets:
|
||||
print(f" 🔴 {_('高（$1200+）', 'High ($1200+)')} {len(high_wallets):3d} {_('个钱包', 'wallets')} {_('持仓', 'hold')} {fpct(high_pct_val)} {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')} {fpct(high_pct_val)} {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:
|
||||
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')}")
|
||||
if high_wallets and HAS_PRICE:
|
||||
print(f" ➤ {_('高余额钱包', 'High-balance wallets')} {len(high_wallets)} {_('个持仓', 'holding')} {fpct(high_pct_val, 1)}{_('，', ', ')}{_('合计', 'total')} {usd(high_total)} {_('可随时加仓', 'ready to add')}")
|
||||
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 ')}{fpct(zero_pct_val, 1)}{_('）', ')')}, {_('无加仓能力，可能是分仓小号', 'no buying power, likely sub-wallets')}")
|
||||
print()
|
||||
|
||||
sec7 = _("📊 筹码结构", "📊 Chip Structure")
|
||||
@@ -643,9 +974,11 @@ 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')} / {fpct(profit_pct, 1)} {_('流通盘', 'float')})")
|
||||
print(f" {_('亏损', 'Loss')} {len(loss_w)} ({len(loss_w)/total_n*100:.0f}% {_('钱包', 'wallets')} / {fpct(loss_pct, 1)} {_('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')} {fpct(trapped_pct)} {tf_flag}")
|
||||
print(f" {_('平均持仓时长', 'Avg hold duration')} {avg_hold_days:.1f} {_('天', 'days')}")
|
||||
print()
|
||||
|
||||
@@ -663,8 +996,58 @@ if warns:
|
||||
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')}")
|
||||
# 三个桶互斥、相加为 100%，读者能看出缺口是"有前科"还是"来源未知"造成的
|
||||
if no_holders:
|
||||
# 三个桶全是 0.0% 时打印它们，等于宣称"筹码里既没有风险标签也没有空降"
|
||||
print(f"\n {_('筹码质量', 'Chip quality')} ⚪ "
|
||||
f"{_('没有观测到任何钱包，无法计算', 'no wallets observed — cannot compute')}")
|
||||
else:
|
||||
# 三个桶的分母是 normal_pct（总供应基准），不受流通盘退化影响，所以构成照常打印；
|
||||
# 但退化盘里被观测到的筹码本身只有尘埃级，对着尘埃下 🔴/🟢 的结论没有意义 ——
|
||||
# 评级已经是"无法评估"，这里再亮一个红灯只会自相矛盾。故只中和旗标，并注明筹码体量。
|
||||
_qf_disp = pf(qf)
|
||||
_qf_note = "" if not float_degenerate else _(
|
||||
f"，仅占总供应 {pct_s(normal_pct)}", f", only {pct_s(normal_pct)} of supply")
|
||||
print(f"\n {_('筹码质量', 'Chip quality')} {_qf_disp} "
|
||||
f"({_('占观测到的钱包筹码', 'share of observed wallet chips')}{_qf_note})")
|
||||
print(f" {_('自己买入且无风险标签', 'Bought in, no risk tag')} {pct(clean_ratio):.1f}%"
|
||||
f" {_('零成本空降', 'Zero-cost airdrop')} {pct(airdrop_ratio):.1f}%"
|
||||
f" {_('风险标签', 'Risk-tagged')} {pct(risk_ratio):.1f}%")
|
||||
if clean_ratio < 0.5 and airdrop_ratio > risk_ratio:
|
||||
print(_( " （缺口主要来自零成本空降：来源未知，不等于已证实的坏筹码）",
|
||||
" (Shortfall is mostly zero-cost airdrop — unknown provenance, not proven-bad chips)"))
|
||||
# 退化时 .1f 会把 0.0035% 打成 0.0%，和"未发现 LP"的 0 混成一个数
|
||||
_fs_disp = pct_s(float_raw) if float_degenerate else f"{pct(float_share):.1f}%"
|
||||
# coverage = normal_pct / float_share，退化时它同样是除零结果（恒等于 100%），不能报
|
||||
_cov_disp = "" if unassessable else _(f" Top100 覆盖流通盘 {pct(coverage):.0f}%",
|
||||
f" Top100 covers {pct(coverage):.0f}% of float")
|
||||
if burn_pct + dex_pct > 0.001:
|
||||
print(_( f" 流通盘 {_fs_disp}（销毁 {pct(burn_pct):.1f}% + DEX {pct(dex_pct):.1f}% 已剔除，不纳入评估）{_cov_disp}",
|
||||
f" Float {_fs_disp} (burn {pct(burn_pct):.1f}% + DEX {pct(dex_pct):.1f}% excluded){_cov_disp}"))
|
||||
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）{_cov_disp}",
|
||||
f" Float 100% (no burn address or DEX pool found){_cov_disp}"))
|
||||
# 这条脚注必须跟着实际覆盖率走。原先无条件打印，于是在 Top100 覆盖 100% 流通盘的币上，
|
||||
# 它和上一行的"Top100 覆盖流通盘 100%"当场自相矛盾 —— 一行说覆盖满了，下一行说没覆盖满。
|
||||
if no_holders:
|
||||
# coverage = 0 会让下面那条打成"Top100 覆盖 0%，所以是下限"—— 下限的说法预设了有数据
|
||||
print(_( " 以上占比没有任何持仓数据支撑，既不是下限也不是完整值，请勿据此比较",
|
||||
" The percentages above rest on no holder data at all — they are neither floors nor complete values; do not compare on them"))
|
||||
elif float_degenerate:
|
||||
# 退化时 coverage 本身也是 f1() 的产物，同样是噪声，两种说法都不能给
|
||||
print(_( " 以上持仓占比的分母（流通盘）趋零，数值不可用于横向比较，请以本节顶部的绝对值为准",
|
||||
" The float denominator above is near zero, so these percentages are not comparable — use the absolute figures at the top of this section"))
|
||||
elif coverage < 0.995:
|
||||
print(_( f" 以上持仓占比均以流通盘为分母；Top100 只覆盖其中 {pct(coverage):.0f}%，未覆盖的部分意味着这些占比是下限",
|
||||
f" Percentages above are share of tradeable float; Top100 covers {pct(coverage):.0f}% of it, so they are floors"))
|
||||
else:
|
||||
print(_( " 以上持仓占比均以流通盘为分母；Top100 已覆盖全部流通盘，占比即完整值而非下限",
|
||||
" Percentages above are share of tradeable float; Top100 covers all of it, so they are complete values, not floors"))
|
||||
if coverage < 0.5 and not unassessable:
|
||||
# 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:
|
||||
|
||||
Reference in New Issue
Block a user