trading-strategist — Claude Code skill: what it does, how to install
Generates crypto trading strategies using Binance market data, technical indicators, and RSS news sentiment. Helps analyze setups for BTC, ETH, and altcoins.
npx skills add kukapay/crypto-skills --skill trading-strategist -a claude-codeWhat trading-strategist does
The skill queries Binance API endpoints /api/v3/ticker/price, /api/v3/ticker/24hr, and /api/v3/klines for 30-100 days of historical data. Network calls run through the scripts/fetch_binance.py helper. Next, scripts/calculate_ta.py calculates indicators like SMA, RSI, MACD, Bollinger Bands, and Stochastic.
Market sentiment scores come from crypto RSS feeds via the companion market-sentiment skill. Combining indicators with sentiment produces trade recommendations: buy, sell, or hold signals, target entry and exit levels, and suggested timeframes for swing or day trading.
Output plans mandate stop-loss limits and position sizing between 1% and 5% of capital. This is not financial advice. The prompt explicitly flags high risks tied to market volatility and borrowed margin.
What it helps with
- calculate SMA, RSI, MACD, and Bollinger Bands
- fetch klines and trading volumes from the Binance API
- aggregate crypto market sentiment from RSS news feeds
- determine trade entry points, exit targets, and stop-loss levels
Example prompts for the agent
- For ETH, generate a trading strategy based on current market data.
- Analyze BTC with 50-day history, include sentiment, recommend swing trade.
How to install trading-strategist
1Skills CLI (Vercel)
npx skills add kukapay/crypto-skills --skill trading-strategist -a claude-code2Manually: put the files in place
~/.claude/skills/trading-strategist/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/trading-strategist/
1Skills CLI (Vercel)
npx skills add kukapay/crypto-skills --skill trading-strategist -a codex2Manually: put the files in place
.agents/skills/trading-strategist/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add kukapay/crypto-skills --skill trading-strategist -a cursor2Manually: put the files in place
.cursor/skills/trading-strategist/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install kukapay/crypto-skills trading-strategist2Manually: put the files in place
.github/skills/trading-strategist/SKILL.md1Skills CLI (Vercel)
npx skills add kukapay/crypto-skills --skill trading-strategist -a gemini-cli2Platform CLI
gemini skills install https://github.com/kukapay/crypto-skills --path skills/trading-strategistManually: put the files in place
.devin/skills/trading-strategist/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add kukapay/crypto-skills --skill trading-strategist -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about trading-strategist
How to install trading-strategist in Claude Code?
Run npx skills add kukapay/crypto-skills --skill trading-strategist -a claude-code.
What dependencies does trading-strategist require?
The skill relies on Python scripts scripts/calculate_ta.py and scripts/fetch_binance.py, access to the Binance API, and the companion market-sentiment skill.
Which technical indicators does the skill calculate?
It computes SMA, RSI, MACD, Bollinger Bands, and Stochastic indicators using 30 to 100 days of historical klines.
Source text
SKILL.md · MIT
--- name: trading-strategist description: 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. --- # Trading Strategies Skill This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools. ## Core Components 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 ## Workflow ### Step 1: Data Collection - 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 ### 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](references/ta_formulas.md) - Sentiment interpretation: See [references/sentiment_guide.md](references/sentiment_guide.md) ## Scripts - `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
© kukapay · MIT · kukapay/crypto-skills
