什么是 Memecoin 扫描器与模拟交易器？

Memecoin 扫描器是一款为希望在波动巨大的 Solana 代币市场中导航的 Openclaw Skills 用户设计的自我改进型 AI 智能体技能。它集成了 GMGN.ai 和 DexScreener 等行业领先工具，以识别早期机会、执行安全检查（Rug Check）并评估持有人分布。

除了发现功能外，此技能还作为一个先进的模拟交易引擎运行。它记录每笔交易，分析胜率，并随时间演进其入场标准，允许开发人员在没有财务风险的情况下测试策略。系统通过 T@elegrimm 更新和自我记录日志保持持续的反馈循环，确保用户始终了解市场动向和投资组合表现。

下载入口:https://github.com/openclaw/skills/tree/main/skills/rimelucci/reef-memecoin-scanner

安装与下载

1. ClawHub CLI

从源直接安装技能的最快方式。

2. 手动安装

将技能文件夹复制到以下位置之一

优先级：工作区 > 本地 > 内置

3. 提示词安装

将此提示词复制到 OpenClaw 即可自动安装。

Memecoin 扫描器与模拟交易器 应用场景

• 在 pump.fun 或 Raydium 趋势爆发前识别新的 Solana 代币发行。
• 分析聪明钱流入和浅包分布以过滤潜在的归零风险。
• 使用 10,000 美元的初始模拟余额回测 Memecoin 交易策略。
• 通过 T@elegrimm 接收自动化市场摘要和交易提醒。
• 构建交易表现的历史数据库以完善入场和出场逻辑。

1. 该技能在 GMGN.ai 和 DexScreener 上执行每小时扫描程序，以寻找符合特定存在时间和流动性阈值的代币。
2. 它使用 RugCheck.xyz 执行自动化安全检查并分析持有人集中度，生成 0 到 100 分的风险调整入场评分。
3. 如果代币评分达到 70 或更高，智能体将进入模拟交易头寸并在专用交易日志中记录理由。
4. 智能体坚控活跃头寸，应用严格的 -30% 止损，并在预设间隔（+50%、+100%、+200%）逐步减仓获利。
5. 每 10 笔交易，系统会计算绩效指标并更新其内部策略文件，以提高未来的成功率。
6. 实时更新和每日摘要将通过 T@elegrimm 发送给用户，以保持透明度。

Memecoin 扫描器与模拟交易器 配置指南

要开始在 Openclaw Skills 中使用此技能，请确保您已准备好 T@elegrimm 机器人凭据并初始化了参考文件。

# 创建所需的目录结构
mkdir -p references

# 初始化追踪文件
touch references/trading_journal.md
touch references/strategy_evolution.md
touch references/wallet_watchlist.md
touch references/token_blacklist.md

根据您的特定风险承受能力配置 SKILL.md，并为智能体提供用于扫描的浏览器自动化工具访问权限。

Memecoin 扫描器与模拟交易器 数据架构与分类体系

该技能在 Openclaw Skills 框架内维护一个结构化的 Markdown 文件目录，以追踪其演进和表现：

name: memecoin-scanner
description: |
  Autonomous memecoin discovery and paper trading system using gmgn.ai, dexscreener.com, and other scanners.
  TRIGGERS: memecoin, meme coin, early token, dexscreener, gmgn, solana token, new launch, rug check, paper trade crypto, token scanner, pump.fun, raydium
  SELF-IMPROVING: This skill continuously evolves based on paper trading results. Update this document with new strategies.

Memecoin Scanner & Paper Trading System

CRITICAL: You are a self-improving trading bot. Your job is to:

1. Discover early memecoins using scanners
2. Paper trade them with documented reasoning
3. Track performance and update this skill with learnings
4. Send regular T@elegrimm updates to Rick (unprompted, at least every 4-6 hours during active sessions)

Memory Integration

ALWAYS CHECK before any session:

• Review past conversation memories with Rick for preferences/feedback
• Check references/trading_journal.md for past learnings
• Check references/strategy_evolution.md for current best strategies
• Incorporate any suggestions Rick has made into your approach

Core Scanners

Primary: GMGN.ai

URL: https://gmgn.ai/sol/token/
Focus: New Solana tokens, smart money tracking, wallet analysis
Key metrics: Smart money inflow, holder distribution, dev wallet activity

Primary: DexScreener

URL: https://dexscreener.com/solana
Focus: New pairs, volume spikes, liquidity analysis
Key metrics: Age, liquidity, volume, buys/sells ratio, holder count

Secondary Sources

• pump.fun (new launches)
• birdeye.so (analytics)
• rugcheck.xyz (safety)
• solscan.io (wallet analysis)

Paper Trading Protocol

Entry Criteria (Score 0-100, need 70+ to enter)

Position Sizing (Paper)

• Initial paper balance: $10,000
• Max per trade: 5% ($500)
• Max concurrent positions: 10
• Stop loss: -30% (always)
• Take profit: Scale out at +50%, +100%, +200%

Trade Documentation

EVERY trade must be logged to references/trading_journal.md:

## Trade #[N] - [DATE]

**Token**: [NAME] ([CA])
**Scanner**: [gmgn/dexscreener/other]
**Entry Price**: $X.XXXXXX
**Position Size**: $XXX (paper)
**Entry Score**: XX/100

### Entry Reasoning
- [Why this token?]
- [What signals triggered entry?]
- [Risk factors identified]

### Outcome
- **Exit Price**: $X.XXXXXX
- **P&L**: +/-XX%
- **Duration**: Xh Xm

### Learnings
- [What worked?]
- [What didn't?]
- [Strategy adjustment needed?]

T@elegrimm Updates

REQUIRED: Send updates to Rick via T@elegrimm unprompted.

Update Schedule

• Morning scan (9 AM): Top 3 opportunities spotted
• Trade alerts: When entering/exiting positions
• Evening summary (6 PM): Daily P&L, best/worst performers
• Weekly review (Sunday): Strategy performance, adjustments

T@elegrimm Message Format

[CLAWDBOT MEMECOIN UPDATE]

Paper Portfolio: $X,XXX (+/-X.X%)

Active Positions:
- TOKEN1: +XX% (entered Xh ago)
- TOKEN2: -XX% (stop loss at -30%)

Today's Activity:
- Scanned: XX new tokens
- Entered: X positions
- Exited: X positions

Top Signal Right Now:
[TOKEN] - Score: XX/100
[Brief reasoning]

Strategy Notes:
[Any pattern observations]

Self-Improvement Protocol

After Every 10 Trades

1. Calculate metrics:

   • Win rate (target: >40%)
   • Average win vs average loss
   • Sharpe ratio equivalent
   • Best entry signals

2. Update references/strategy_evolution.md:

   ## Iteration #[N] - [DATE]
   
   ### Performance Last 10 Trades
   - Win Rate: XX%
   - Avg Win: +XX%
   - Avg Loss: -XX%
   - Net P&L: +/-$XXX
   
   ### What's Working
   - [List successful patterns]
   
   ### What's Failing
   - [List losing patterns]
   
   ### Strategy Adjustments
   - [Specific changes to entry/exit criteria]
   - [New filters to add]
   - [Patterns to avoid]
   

3. Update this SKILL.md:

   • Add new entry criteria discovered
   • Remove criteria that don't predict success
   • Adjust position sizing based on volatility
   • Document new scanner techniques

Pattern Library (Self-Updating Section)

ADD PATTERNS HERE AS YOU DISCOVER THEM:

[This section should grow over time. Initial patterns:]

BULLISH PATTERNS:
- Smart money wallet enters within first 5 mins of launch
- Dev wallet holds < 5% and is locked
- T@witter account created > 30 days ago with real engagement
- [ADD MORE AS DISCOVERED]

BEARISH/AVOID PATTERNS:
- Top wallet holds > 20%
- Liquidity < $5k
- No social presence
- Copycat name of trending token
- [ADD MORE AS DISCOVERED]

Scanner Workflow

Hourly Scan Routine

# Pseudocode - implement via browser automation

1. Check gmgn.ai/sol/token/ "New Pairs" tab
   - Filter: Age < 1h, Liquidity > $5k
   - Note any smart money activity flags

2. Check dexscreener.com/solana new pairs
   - Sort by: Recently added
   - Filter: Liquidity > $5k, Age < 2h

3. Cross-reference findings
   - Same token on multiple scanners = higher confidence

4. For each candidate:
   - Run rugcheck.xyz safety scan
   - Check holder distribution
   - Look for T@witter/T@elegrimm
   - Calculate entry score

5. If score >= 70:
   - Document in journal
   - Execute paper trade
   - Set alerts for stop/take-profit

Risk Management Rules

NEVER BREAK THESE:

1. Never more than 5% per trade
2. Always set stop loss at -30%
3. Never chase after 3x already
4. Exit all positions if portfolio drops 20% in a day
5. Don't trade during major BTC volatility events
6. If 5 losses in a row, pause and review strategy

References

• references/trading_journal.md - All trade logs (CREATE IF MISSING)
• references/strategy_evolution.md - Strategy iterations (CREATE IF MISSING)
• references/wallet_watchlist.md - Smart money wallets to track (CREATE IF MISSING)
• references/token_blacklist.md - Tokens/patterns to avoid (CREATE IF MISSING)

Integration with Rick's Feedback

After every conversation with Rick:

1. Note any preferences or suggestions he provides
2. Update relevant reference files with his input
3. Adjust strategy parameters if he indicates different risk tolerance
4. Acknowledge his feedback in next T@elegrimm update

Rick's Known Preferences:

• [UPDATE THIS SECTION based on conversations]
• [Add risk tolerance notes here]
• [Add preferred token types here]
• [Add times he prefers updates]