Multi-Agent AI Quant System with multi-coin prediction, strategy templates, and automated backtesting
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill quant-orchestrator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: quant-orchestrator
description: Multi-Agent AI Quant System with multi-coin prediction, strategy templates, and automated backtesting
metadata:
clawdbot:
emoji: "📊"
homepage: "https://clawhub.com/quant-orchestrator"
os: ["darwin", "linux", "win32"]
---
# Quant Orchestrator AI
## 📊 Description
多Agent量化系统,支持多币种预测和策略模板
## 💰 Pricing
- **0.1 USDC per call**
## 🚀 Features
### 1. 多币种预测 (8 coins)
- BTC, ETH, SOL, XRP, DOGE, LINK, ADA, AVAX, DOT
### 2. 多模型投票
- 3个模型投票,更稳定
### 3. 策略模板 (10个)
- momentum
- mean_reversion
- breakout
- rsi_extreme
- macd_cross
- bollinger_bounce
- volume_spike
- trend_following
- support_resistance
- volatility_expansion
### 4. AI功能
- AI因子挖掘
- AI策略生成
- 自动回测
## Usage
```python
from skill_v2 import MultiCoinPredictor, get_strategy_templates
# Get predictions for all coins
predictor = MultiCoinPredictor()
results = predictor.run_all(model_paths)
# Get strategy templates
templates = get_strategy_templates()
```
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.