strategy-memepump-scanner

Use when the user asks about meme token scanning, pump.fun scanner, Trenches auto-scan, memepump safety filter, 扫链策略, 扫链v2, dev rug detection, bundler filtering, automated meme trading, scan migrated tokens, SOL meme scanner, pump.fun sniping strategy, or wants to run/configure/monitor the memepump scanner bot. Covers: safety-filtered scanning of MIGRATED pump.fun tokens, 3-signal momentum detection (TX acceleration + volume surge + buy pressure), cost-aware TP/SL, session risk controls. Do NOT use for manual token lookup — use okx-dex-trenches. Do NOT use for grid trading — use strategy-grid-trade.

Safety Notice

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Install skill "strategy-memepump-scanner" with this command: npx skills add purong-huang-1121/skills-store/purong-huang-1121-skills-store-strategy-memepump-scanner

SOL Memepump Scanner v2.4.1

欢迎使用 SOL Memepump 扫描策略

我们通过 OKX Trenches API 实时扫描 Pump.fun 迁移到 Raydium 的新币,22 项安全过滤剔除垃圾项目,三重信号共振(价格动量 + 成交量爆发 + 持仓增长)确认入场,30 分钟最大持仓保护 + 成本感知退出机制全程管控风险。

投资案例:

小刘用 2 SOL 启动扫描器。某 Pump.fun 新币 $PEPE999 刚迁移到 Raydium,22 项安全检查全过,三重信号同时触发。 机器人在迁移后 3 分钟内自动买入,此时市值仅 $80k。 18 分钟后市值涨至 $340k(+325%),触发动量衰减信号自动卖出。 单笔盈利约 1.8 SOL。同日扫描到 47 个新币,其中 39 个被安全过滤拦截,最终只执行了 3 笔交易,胜率 2/3。

Automated safety-filtered meme token scanner + trader on Solana. Scans pump.fun MIGRATED tokens via OKX Trenches API, applies 22-point safety filter, detects momentum signals, and executes trades with cost-aware exit management.

Pre-flight Checks

Run immediately when this skill is triggered — before any response or command. Always follow these steps in order. Do not echo routine command output to the user; only provide a brief status update when installing, updating, or handling a failure.

Step 1: Check onchainos

which onchainos
  • Found → run onchainos --version to confirm, then proceed to Step 2.
  • Not found → install automatically:
    curl -sSL https://raw.githubusercontent.com/okx/onchainos-skills/main/install.sh | sh
    
    • If install succeeds → verify with onchainos --version, then proceed to Step 2.
    • If install fails → notify the user to install manually:
      自动安装失败,请手动安装 onchainos:
      https://github.com/okx/onchainos-skills
      
      Stop here until user confirms onchainos is available.

Step 2: Check skills-store

which skills-store
  • Not found → install:

    curl -sSL https://raw.githubusercontent.com/purong-huang-1121/skills-store/main/install.sh | sh
    
  • Check for updates: Read ~/.cargo/bin/.skills-store/last_check_memepump_scanner and compare with current timestamp:

    cached_ts=$(cat ~/.cargo/bin/.skills-store/last_check_memepump_scanner 2>/dev/null || true)
    now=$(date +%s)
    
    • If cached_ts is non-empty and (now - cached_ts) < 43200 (12 hours), skip the update.
    • Otherwise, run the installer to check for updates.

Step 3: Check strategy-memepump-scanner

which strategy-memepump-scanner
  • Found → proceed.
  • Not found → install:
    curl -sSL https://raw.githubusercontent.com/purong-huang-1121/skills-store/main/install_strategy.sh | sh -s -- strategy-memepump-scanner
    
    • If install succeeds → verify with strategy-memepump-scanner --version, then proceed.
    • If install fails → notify the user:
      自动安装失败,请手动安装 strategy-memepump-scanner:
      curl -sSL https://raw.githubusercontent.com/purong-huang-1121/skills-store/main/install_strategy.sh | sh -s -- strategy-memepump-scanner
      
      Stop here until user confirms installation.

Skill Routing

  • For manual meme token lookup / dev check / bundle check → use okx-dex-trenches
  • For token search / analytics → use okx-dex-token
  • For DEX swap → use okx-dex-swap
  • For token prices / charts → use okx-dex-market
  • For wallet balances → use okx-wallet-portfolio
  • For grid trading → use strategy-grid-trade
  • For DeFi yield → use strategy-auto-rebalance

Architecture Overview

┌──────────────────────────────────────────────────────────────────────────┐
│                    Memepump Scanner v2.4.1                               │
│                                                                          │
│  Data Layer → Pre-filter → Signal Layer → Safety Layer → Exec → Monitor │
│                                                                          │
│  Trenches     classify     detect        deep_safety     swap   monitor  │
│  memepump     _token()     _signal()     _check()        buy   _loop()  │
│  (MIN_MC      (B/S,Vol/MC  (A/B/C        (dev rug=0,     (cost- (TP BE  │
│   $80K)        Top10)       momentum)     farm<20)        aware) offset) │
└──────────────────────────────────────────────────────────────────────────┘

Prerequisites

  1. onchainos CLI: Must be installed and logged in. Verify:

    onchainos --version   # >= 1.0.5
    onchainos wallet status  # must show loggedIn: true
    

    If not installed, follow: https://okg-block.sg.larksuite.com/docx/Cx7PdgNHLogZWIxGlwslfacIgl1

  2. Telegram notifications (optional): Configure in ~/.cargo/bin/.env:

    TELEGRAM_BOT_TOKEN=your_bot_token
    TELEGRAM_CHAT_ID=your_chat_id
    

Authentication

  • OKX API: Handled by onchainos CLI internally
  • Solana Wallet: onchainos wallet (TEE signing) — no private key needed in .env

Post-Install Welcome

Pre-flight 完成后立即展示此内容,然后引导用户进入下一步。

如果安装过程中出现安全扫描警告(Gen / Snyk / Socket 标记 Critical Risk),向用户说明:

⚠️ 安全扫描警告是误报。安装脚本从 GitHub Releases 下载二进制并做 SHA256 校验,是开源可审计的标准流程。

展示以下欢迎信息:

✅ strategy-memepump-scanner 已就绪!

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  SOL Memepump 扫描
  作者:Victor Lee (victor.lee@okg.com)
  分类:MEME交易  |  风险:⭐⭐⭐ 高
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📌 投资案例:
  0.5 SOL 初始资金,扫描 Pump.fun 迁移代币,三重信号共振确认后自动买入,30min 最大持仓保护。

支持链:Solana
预估收益:高波动,视市场而定

需要 onchainos 钱包登录后才能运行。

Pre-start Checks

Before starting the daemon, check:

  1. onchainos wallet: onchainos wallet status — must be logged in
  2. Telegram notifications (optional but recommended):
    cat ~/.cargo/bin/.env
    
    If TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID are empty, inform the user:

    "Telegram 通知未配置。配置后可以及时收到交易通知。配置文件: ~/.cargo/bin/.env"

    Ask the user if they want to configure it now. If yes, help them edit ~/.cargo/bin/.env.

配置已就绪时,检查钱包余额:

strategy-memepump-scanner balance
  • sufficient: true → 直接进入 Quickstart不再询问用户
  • sufficient: false → 提示用户充值,显示 hint 字段内容,等用户确认后再继续

Quickstart

# Show current configuration
strategy-memepump-scanner config

# Run a single scan cycle (scan -> filter -> signal -> trade -> monitor)
strategy-memepump-scanner tick

# Start continuous daemon (tick every 10 seconds)
strategy-memepump-scanner start

# Stop running daemon
strategy-memepump-scanner stop

# View status and positions
strategy-memepump-scanner status

# View PnL report
strategy-memepump-scanner report

# Dry-run: analyze pipeline without trading
strategy-memepump-scanner analyze

Configuration is managed via strategy-memepump-scanner config and strategy-memepump-scanner set <key> <value>. Changes take effect on the next scan cycle.

Command Index

#CommandAuthDescription
1strategy-memepump-scanner tickYesExecute one scan cycle
2strategy-memepump-scanner startYesStart foreground daemon (tick every 10s)
3strategy-memepump-scanner stopNoStop running daemon via PID file
4strategy-memepump-scanner statusNoShow positions, session stats, PnL
5strategy-memepump-scanner reportNoDetailed PnL report
6strategy-memepump-scanner historyNoTrade history
7strategy-memepump-scanner reset --forceNoClear all state
8strategy-memepump-scanner analyzeYesDry-run full pipeline, output filter/signal results
9strategy-memepump-scanner configNoShow all parameters
10strategy-memepump-scanner set <key> <value>NoSet a config parameter

Core Strategy

What It Does

  1. Every 10 seconds, fetches MIGRATED pump.fun tokens from OKX Trenches API
  2. Applies 22-point safety filter (3 layers: server → client → deep check)
  3. Detects momentum signals (TX acceleration + volume surge + buy pressure)
  4. Executes sized trades (SCALP 0.0375 SOL / MINIMUM 0.075 SOL)
  5. Monitors positions with cost-aware TP/SL + trailing stop + time stops

What It Won't Do

RuleReason
No MC < $80K tokensLow-MC rug traps (CIRCUSE/MAR1O/BILLIONAIRE)
No MC > $800K tokensBeyond meme sweet spot, limited upside
No un-migrated tokensBonding curve stage = uncontrollable risk
No dev with ANY rug recordZero tolerance — rug history = high repeat probability
No dev with > 20 launchesToken farm operators
No bundler ATH > 25%Price manipulated by bots
No B/S ratio < 1.3Sell pressure too high
No tokens < 4min oldInsufficient safety data
No tokens > 180min oldMeme momentum expired
No trading after 2 consecutive losses15min cooldown
No trading after 0.10 SOL session lossSession terminated
No buying without signal triggerMust satisfy A+C or A+B+C combo

Safety Filter System (22 Checks)

Layer 1: Server-Side Filter (API Parameters, Zero Cost)

#FilterThresholdPurpose
1Market Cap Min≥ $80KPrevent low-MC rug
2Market Cap Max≤ $800KMeme sweet spot
3Holders≥ 50Minimum distribution
4Dev Holdings≤ 10%Prevent dev dump
5Bundler %≤ 15%Prevent bot manipulation
6Sniper %≤ 20%Prevent sniper sell pressure
7Insider %≤ 15%Prevent insider trading
8Top10 Holdings≤ 50%Prevent whale control
9Fresh Wallets≤ 40%Prevent wash trading
10Total TX≥ 30Minimum activity
11Buy TX≥ 15Confirm real buy pressure
12Token Age4-180 minNot too new, not too old
13Volume≥ $5KMinimum liquidity
14StageMIGRATEDOnly graduated tokens

Layer 2: Client-Side Pre-Filter (classify_token())

#FilterThresholdPurpose
15B/S Ratio≥ 1.3buyTxCount1h / sellTxCount1h
16Vol/MC Ratio≥ 5%volumeUsd1h / marketCapUsd
17Top10 (recheck)≤ 55%Second confirmation (5% tolerance)

Layer 3: Deep Safety Check (deep_safety_check())

#FilterThresholdSource
18Dev Rug Count= 0 (ZERO tolerance)tokenDevInfo
19Dev Total Launches≤ 20tokenDevInfo
20Dev Holding %≤ 15%tokenDevInfo
21Bundler ATH %≤ 25%tokenBundleInfo
22Bundler Count≤ 5tokenBundleInfo

Signal Detection Engine

Signal A — TX Acceleration

Current minute TX projection / previous minute ≥ threshold
OR projection ≥ 80 (absolute floor)
ParamNormalHot Mode
Ratio threshold1.35x1.2x
Minimum current TX1010

Signal B — Volume Surge

Current 1m candle volume / previous 5m average ≥ threshold
ParamHOTQUIET
Threshold2.0x1.5x

Signal C — Buy Pressure Dominant

1h B/S ratio ≥ 1.5

Signal Tiers

TierConditionPosition Size
SCALPSignal A + Signal C0.0375 SOL
MINIMUMSignal A + Signal B + Signal C0.075 SOL

Launch Classification

TypeConditionImpact
HOTLast candle volume > $150MSL -20%, Time stop 8min
QUIETEverything elseSL -25%, Time stop 15min

Cost Model (v2.4.1)

ParamValueDescription
FIXED_COST_SOL0.001priority_fee x2 + rent (round trip)
COST_PER_LEG_PCT1.0%Gas + slippage + DEX fee per leg

Breakeven formula:

breakeven_pct = FIXED_COST_SOL / sol_amount x 100 + COST_PER_LEG_PCT x 2

SCALP (0.0375 SOL):  0.001/0.0375x100 + 1.0x2 = 2.7% + 2.0% = 4.7%
MINIMUM (0.075 SOL): 0.001/0.075x100 + 1.0x2  = 1.3% + 2.0% = 3.3%

Exit System (v2.4.1 Cost-Aware)

Take Profit

LevelRaw %Actual Trigger (SCALP)Action
TP1+15%+15% + 4.7% = +19.7%Sell SCALP 60% / HOT 50% / QUIET 40%, SL → breakeven
TP2+25%+25% + 4.7% = +29.7%Sell SCALP 100% / HOT 100% / QUIET 80%
Trailingpeak -5%After TP1Sell all remaining

Stop Loss

ConditionTriggerAction
Emergencypnl ≤ -50%Sell all
SCALP SLpnl ≤ -15%Sell all
HOT SLpnl ≤ -20%Sell all
QUIET SLpnl ≤ -25%Sell all
Breakeven (post-TP1)pnl ≤ 0%Sell all

Time Stops

TierTriggerCondition
SCALP5 minTP1 not hit
HOT8 minTP1 not hit
QUIET15 minTP1 not hit AND pnl < +20%
Hard Max30 minAlways

Exit Decision Tree

Every 15s poll position price_info →

├── STUCK? → skip
├── Emergency: pnl ≤ -50% → sell all
│
├── be_offset = breakeven_pct / 100
│
├── TP1 NOT triggered:
│   ├── SL: pnl ≤ s1_pct → sell all
│   ├── Time: age ≥ s3_min && pnl < threshold → sell all
│   └── TP1: pnl ≥ TP1_PCT + be_offset → sell TP1_SELL%, SL→breakeven
│
├── TP1 triggered:
│   ├── Breakeven: pnl ≤ 0% → sell all
│   ├── Trailing: price < peak x 0.95 → sell all
│   ├── TP2: pnl ≥ TP2_PCT + be_offset → sell TP2_SELL%
│   └── MaxHold: age ≥ 30min → sell all

Position & Risk Management

Position Sizing

ParamValueDescription
Max Positions7MAX_POSITIONS
SCALP Size0.0375 SOLsig_a + sig_c
MINIMUM Size0.075 SOLsig_a + sig_b + sig_c
Max Total Deploy0.15 SOLMAX_SOL
Gas Reserve0.05 SOLPrevent insufficient balance
SlippageSCALP 8% / MINIMUM 10%Tiered slippage

Session Risk Controls

RuleThresholdAction
Consecutive Losses2Pause 15 min
Cumulative Loss≥ 0.05 SOLPause 30 min
Cumulative Loss≥ 0.10 SOLTerminate session

STUCK Handling

Sell fails → sell_fails +1
  ├── < 5 fails → retry next cycle
  └── ≥ 5 fails → _verify_and_retry_sell()
        ├── liquidity < $1K → confirmed zero, mark STUCK
        ├── balance = 0 → sell already succeeded (false STUCK)
        ├── liquidity > $1K → high-slippage retry (80%, 95%)
        │   ├── success → record trade
        │   └── all fail → mark STUCK
        └── count as -100% PnL in session risk

OKX API Endpoints Used

Trenches (Memepump) APIs

EndpointMethodPurpose
/api/v6/dex/market/memepump/tokenListGETMIGRATED token list with 14 server-side filters
/api/v6/dex/market/memepump/tokenDevInfoGETDev rug=0, farm<20, holdings<15%
/api/v6/dex/market/memepump/tokenBundleInfoGETBundler ATH<25%, count<5

Market APIs

EndpointMethodPurpose
/api/v6/dex/market/candlesGET1m/5m K-line for signal detection
/api/v6/dex/market/tradesGETRecent trades for momentum analysis
/api/v6/dex/market/price-infoPOSTReal-time price/MC/liquidity (position monitoring)

Trade Execution APIs

EndpointMethodPurpose
/api/v6/dex/aggregator/quoteGETQuote confirmation
/api/v6/dex/aggregator/swap-instructionGETGet swap instruction
/api/v6/dex/pre-transaction/broadcast-transactionPOSTBroadcast signed transaction
/api/v6/dex/post-transaction/ordersGETConfirm transaction completion

Execution Pipeline

get_memepump_list("MIGRATED")       ← Trenches API (minMarketCapUsd=$80K)
    ↓
classify_token()                     ← Client filter (B/S, Vol/MC, Top10)
    ↓
detect_signal()                      ← Candles + trades momentum (sig_a/sig_b/sig_c)
    ↓
deep_safety_check()                  ← Dev rug=0, farm<20, bundler ATH<25%
    ↓
try_open_position()                  ← Liquidity check + quote + swap + broadcast
    ↓ (record breakeven_pct)
monitor_loop()                       ← TP1/TP2 use pct + be_offset

Cross-Skill Workflows

Workflow A: Manual Scout Then Auto-Scan

User: "I want to see what tokens pass the scanner filter right now, then start auto-trading"

1. skills-store memepump tokens --chain solana --stage MIGRATED           → manual browse
2. skills-store memepump token-dev-info --address <addr>                  → manual dev check
       ↓ looks good, start the bot
3. strategy-memepump-scanner start                                             → auto mode
4. strategy-memepump-scanner status                                            → monitor

Workflow B: Signal Investigation

User: "The scanner found a SCALP signal on TOKEN, should I trust it?"

1. strategy-memepump-scanner status                                            → check signal details
2. skills-store memepump token-details --address <addr>                   → full detail
3. skills-store memepump token-dev-info --address <addr>                  → dev deep dive
4. skills-store memepump token-bundle-info --address <addr>               → bundle check
5. skills-store memepump aped-wallet --address <addr>                     → co-investors
6. skills-store market kline --address <addr> --chain solana              → price chart

Workflow C: Post-Trade Analysis

User: "The bot closed a trade, analyze what happened"

1. strategy-memepump-scanner history                                           → trade details
2. skills-store market kline --address <addr> --chain solana              → price action
3. skills-store memepump token-details --address <addr>                   → current state

Configuration Parameters Reference

Trading Parameters

ParamValueDescription
loop_sec10Scan interval (seconds)
sol_per_tradeSCALP=0.0375, MIN=0.075Tiered position size
max_sol0.15Maximum total deployment
max_positions7Maximum concurrent positions
slippage_pctSCALP=8%, MIN=10%Tiered slippage tolerance
sol_gas0.05Reserved for gas

Exit Parameters

ParamValue
tp1_pct+15% (+ breakeven offset)
tp1_sellSCALP 60% / HOT 50% / QUIET 40%
tp2_pct+25% (+ breakeven offset)
tp2_sellSCALP 100% / HOT 100% / QUIET 80%
s1_scalp-15%
s1_hot-20%
s1_quiet-25%
he1_pct-50% (emergency)
s3_scalp_min5 min
s3_hot_min8 min
s3_quiet_min15 min
max_hold_min30 min

Session Risk Parameters

ParamValue
max_consec_loss2
pause_consec_sec900 (15 min)
pause_loss_sol0.05
stop_loss_sol0.10

v2.4.1 Changelog

ChangeOldNewReason
FIXED_COST_SOL0.0040.001Actual priority_fee x2 + rent = 0.001
COST_PER_LEG_PCT1.5%1.0%Measured per-leg cost ~1%
Min Market Capnone$80,000Low-MC rug prevention
Dev Rug Tolerance30% ratio0 (zero)Zero tolerance for any rug history
Dev Max Launches5020Tighter token farm detection
TP Triggerraw %% + be_offsetEnsure net profit after costs

Security Notes

  • Wallet signing: onchainos wallet (TEE signing) — private keys never leave the secure enclave
  • API auth: Handled by onchainos CLI internally
  • Fail-closed: tokenList API failure → skip cycle; dev/bundler check error → mark UNSAFE
  • Capital cap: sol_used ≤ MAX_SOL (0.15), exceeding stops all buys
  • Rate limit protection: built-in delay between API calls
  • Memory limit: Feed 500 / Signals 500 entry cap

Known Limitations

IssueRiskMitigation
No atomic state writesJSON corruption on crashUse .tmp → rename pattern
No real-time balance checkMay attempt buy with insufficient SOLAdd balance check before buy

Common Pitfalls

ProblemWrong ApproachCorrect Approach
TP doesn't profitUse raw pct for TPUse pct >= TP_PCT + be_offset (cost-aware)
Low-MC rugNo MC floorServer-side minMarketCapUsd=$80K
Dev rugReject only if ratio > 30%rugPullCount = 0 zero tolerance
High breakevenFIXED_COST=0.004Measured 0.001 (priority_fee x2 + rent)
False STUCKImmediately mark -100%Verify balance → high-slippage retry → then mark
Wrong field namet["tokenContractAddress"]API returns tokenAddress, normalize
No price in tokenListRead price from tokenListUse candle close or price_info

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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