Back to Details

trading-strategist

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Trading Strategies Skill

交易策略Skill

This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.
本Skill通过整合多数据源和分析工具，生成基于数据驱动的加密货币交易策略。

Core Components

核心组件

  1. Binance Market Data: Real-time price, volume, and historical klines from Binance API
  2. Technical Analysis (TA): Calculated indicators including SMA, RSI, MACD, Bollinger Bands, Stochastic, and more
  3. Market Sentiment: Aggregated sentiment scores from popular crypto RSS feeds
  1. Binance市场数据：来自Binance API的实时价格、交易量及历史K线数据
  2. 技术分析（TA）：计算得出的指标包括SMA、RSI、MACD、布林带、随机指标等
  3. 市场情绪：来自热门加密货币RSS新闻源的聚合情绪评分

Workflow

工作流程

Step 1: Data Collection

步骤1：数据收集

  • Fetch current ticker data from Binance API (
    /api/v3/ticker/price
    and 
    /api/v3/ticker/24hr
    )
  • Retrieve historical klines (
    /api/v3/klines
    with 30-100 days of data)
  • Aggregate sentiment using the market-sentiment skill
  • 从Binance API获取当前行情数据（
    /api/v3/ticker/price
    和 
    /api/v3/ticker/24hr
    ）
  • 获取历史K线数据（
    /api/v3/klines
    ，包含30-100天的数据）
  • 使用market-sentiment skill聚合情绪数据

Step 2: TA Calculation

步骤2：TA指标计算

Use the 
scripts/calculate_ta.py
script to compute indicators from historical data.
使用
scripts/calculate_ta.py
脚本基于历史数据计算指标。

Step 3: Strategy Generation

步骤3：策略生成

Combine TA signals, price action, and sentiment score to recommend:
  • Buy/Sell/Hold signals
  • Entry/exit points
  • Risk management (stop-loss, position sizing)
  • Timeframes (swing, day trading)
结合TA信号、价格走势和情绪评分，提供以下建议：
  • 买入/卖出/持有信号
  • 入场/离场点位
  • 风险管理（止损、仓位配置）
  • 时间框架（波段交易、日内交易）

Usage Examples

使用示例

Basic Strategy Request

基础策略请求

For ETH, generate a trading strategy based on current market data.
→ Fetch ETH data, calculate TA, get sentiment, output strategy.
For ETH, generate a trading strategy based on current market data.
→ 获取ETH数据，计算TA指标，获取情绪数据，输出策略。

Advanced Analysis

进阶分析

Analyze BTC with 50-day history, include sentiment, recommend swing trade.
→ Use longer history, focus on swing signals.
Analyze BTC with 50-day history, include sentiment, recommend swing trade.
→ 使用更长周期的历史数据，聚焦波段交易信号。

Risk Management

风险管理

  • Always include stop-loss recommendations
  • Suggest position sizes (1-5% of capital)
  • Warn about volatility and leverage risks
  • Note: Not financial advice
  • 始终包含止损建议
  • 建议仓位规模（资金的1-5%）
  • 提醒波动和杠杆风险
  • 注意：本内容不构成财务建议

References

参考资料

  • TA formulas: See references/ta_formulas.md
  • Sentiment interpretation: See references/sentiment_guide.md
  • TA公式：参见references/ta_formulas.md
  • 情绪解读：参见references/sentiment_guide.md

Scripts

脚本

  • scripts/calculate_ta.py
    : Python script for TA indicator calculations
  • scripts/fetch_binance.py
    : Helper for Binance API calls</content> <parameter name="filePath">./skills/trading-strategies/SKILL.md
  • scripts/calculate_ta.py
    ：用于计算TA指标的Python脚本
  • scripts/fetch_binance.py
    ：Binance API调用辅助脚本