
trading-strategist
Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask for trading advice, strategy recommendations, or analysis combining price data, TA, and sentiment for crypto assets like ETH, BTC, or altcoins.
- Installs
- 1K
- Last 24h
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- Trending rank
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- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/kukapay/crypto-skills --skill trading-strategist- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads trading-strategist automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Trading Strategies Skill
This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.
Core Components
- Binance Market Data: Real-time price, volume, and historical klines from Binance API
- Technical Analysis (TA): Calculated indicators including SMA, RSI, MACD, Bollinger Bands, Stochastic, and more
- Market Sentiment: Aggregated sentiment scores from popular crypto RSS feeds
Workflow
Step 1: Data Collection
- Fetch current ticker data from Binance API (
/api/v3/ticker/priceand/api/v3/ticker/24hr) - Retrieve historical klines (
/api/v3/klineswith 30-100 days of data) - Aggregate sentiment using the market-sentiment skill
Step 2: TA Calculation
Use the scripts/calculate_ta.py script to compute indicators from historical data.
Step 3: Strategy Generation
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)
Usage Examples
Basic Strategy Request
For ETH, generate a trading strategy based on current market data.
→ Fetch ETH data, calculate TA, get sentiment, output strategy.
Advanced Analysis
Analyze BTC with 50-day history, include sentiment, recommend swing trade.
→ Use longer history, focus on swing signals.
Risk Management
- Always include stop-loss recommendations
- Suggest position sizes (1-5% of capital)
- Warn about volatility and leverage risks
- Note: Not financial advice
References
- TA formulas: See references/ta_formulas.md
- Sentiment interpretation: See references/sentiment_guide.md
Scripts
scripts/calculate_ta.py: Python script for TA indicator calculationsscripts/fetch_binance.py: Helper for Binance API calls</content> <parameter name="filePath">./skills/trading-strategies/SKILL.md
FAQ
What does the trading-strategist skill do?
Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask for trading advice, strategy recommendations, or analysis combining price data, TA, and sentiment for crypto assets like ETH, BTC, or altcoins.
How do I install trading-strategist?
Run npx skills add https://github.com/kukapay/crypto-skills --skill trading-strategist in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/trading-strategist/ (personal) or .claude/skills/trading-strategist/ (project).
Which AI agents can use trading-strategist?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is trading-strategist safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains trading-strategist?
It is published by kukapay in kukapay/crypto-skills. It has 1,025 recorded installs.
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