skills/crypto-signal-generator/SKILL.md
Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".
npx skillsauth add aaaaqwq/agi-super-skills generating-trading-signalsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Multi-indicator signal generation system that analyzes price action using 7 technical indicators and produces composite BUY/SELL signals with confidence scores and risk management levels.
Indicators Used:
Install required dependencies:
pip install yfinance pandas numpy
Optional for visualization:
pip install matplotlib
Scan multiple assets for trading opportunities:
python {baseDir}/scripts/scanner.py --watchlist crypto_top10 --period 6m
Output shows signal type (STRONG_BUY/BUY/NEUTRAL/SELL/STRONG_SELL) and confidence for each asset.
Get full indicator breakdown for a specific symbol:
python {baseDir}/scripts/scanner.py --symbols BTC-USD --detail
Shows each indicator's contribution:
Find the best opportunities:
# Only buy signals with 70%+ confidence
python {baseDir}/scripts/scanner.py --filter buy --min-confidence 70 --rank confidence
# Rank by most bullish
python {baseDir}/scripts/scanner.py --rank bullish
# Save results to JSON
python {baseDir}/scripts/scanner.py --output signals.json
Available predefined watchlists:
python {baseDir}/scripts/scanner.py --list-watchlists
python {baseDir}/scripts/scanner.py --watchlist crypto_defi
Watchlists: crypto_top10, crypto_defi, crypto_layer2, stocks_tech, etfs_major
================================================================================
SIGNAL SCANNER RESULTS
================================================================================
Symbol Signal Confidence Price Stop Loss
--------------------------------------------------------------------------------
BTC-USD STRONG_BUY 78.5% $67,234.00 $64,890.00
ETH-USD BUY 62.3% $3,456.00 $3,312.00
SOL-USD NEUTRAL 45.0% $142.50 N/A
--------------------------------------------------------------------------------
Summary: 2 Buy | 1 Neutral | 0 Sell
Scanned: 3 assets | [timestamp]
================================================================================
======================================================================
BTC-USD - STRONG_BUY
Confidence: 78.5% | Price: $67,234.00
======================================================================
Risk Management:
Stop Loss: $64,890.00
Take Profit: $71,922.00
Risk/Reward: 1:2.0
Signal Components:
----------------------------------------------------------------------
RSI | STRONG_BUY | Oversold at 28.5 (< 30)
MACD | BUY | MACD above signal, positive momentum
Bollinger Bands | BUY | Price near lower band (%B = 0.15)
Trend | BUY | Uptrend: price above key MAs
Volume | STRONG_BUY | High volume (2.3x) on up move
Stochastic | STRONG_BUY | Oversold (%K=18.2, %D=21.5)
ADX | BUY | Strong uptrend (ADX=32.1)
----------------------------------------------------------------------
| Signal | Score | Meaning | |--------|-------|---------| | STRONG_BUY | +2 | Multiple strong buy signals aligned | | BUY | +1 | Moderate buy signals | | NEUTRAL | 0 | No clear direction | | SELL | -1 | Moderate sell signals | | STRONG_SELL | -2 | Multiple strong sell signals aligned |
| Confidence | Interpretation | |------------|----------------| | 70-100% | High conviction, strong signal | | 50-70% | Moderate conviction | | 30-50% | Weak signal, mixed indicators | | 0-30% | No clear direction, avoid trading |
Edit {baseDir}/config/settings.yaml:
indicators:
rsi:
period: 14
overbought: 70
oversold: 30
signals:
weights:
rsi: 1.0
macd: 1.0
bollinger: 1.0
trend: 1.0
volume: 0.5
See {baseDir}/references/errors.md for common issues:
See {baseDir}/references/examples.md for detailed examples:
Test signals historically:
# Generate signal
python {baseDir}/scripts/scanner.py --symbols BTC-USD --detail
# Backtest the strategy that generated the signal
python {baseDir}/../trading-strategy-backtester/skills/backtesting-trading-strategies/scripts/backtest.py \
--strategy rsi_reversal --symbol BTC-USD --period 1y
| File | Purpose |
|------|---------|
| scripts/scanner.py | Main signal scanner |
| scripts/signals.py | Signal generation logic |
| scripts/indicators.py | Technical indicator calculations |
| config/settings.yaml | Configuration |
testing
AI驱动的智能浏览器自动化工具。使用LLM理解页面并自动执行任务,比传统Playwright更智能、更省token。适用于复杂交互、动态页面、需要智能决策的浏览器操作。Chrome浏览器优先。
tools
网页登录态管理。使用 fast-browser-use (fbu) 管理各平台登录状态,定期检查可用性,新平台授权时自动保存 profile。
development
Monitor and report on API provider quotas, balances, and usage. Query official providers (Moonshot, DeepSeek, xAI, Google AI Studio) and relay/proxy providers (Xingjiabiapi, Aixn, WoW) via their billing APIs. Also checks subscription services (Brave Search, OpenRouter). Generates quota reports. Triggers on "查额度", "API余额", "quota check", "billing report", "api balance", "供应商额度", "中转站余额", "费用报告", "check balance", "how much credit".
development
# A股基金监控 Skill A股基金净值监控,支持实时估值和盘后净值,自动判断交易日/节假日。 ## 用法 ### 快速监控(命令行) ```bash # 默认配置,输出到控制台 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh # 推送到群(使用--push参数) bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --push # 监控指定基金 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --codes "000979 002943" ``` ### Agent调用 ``` 执行A股基金监控任务。 1. 读取配置文件: ~/clawd/skills/a-fund-monitor/config.json 2. 获取实时净值数据 3. 非交易日自动切换为简短报告 配置文件格式: { "funds": [ {"code": "000979", "name": "景顺长城沪港深精选股票