← ClaudeAtlas

technical-analyzerlisted

Analyze OHLCV data to identify candlestick patterns, support/resistance levels, trend formations, and technical indicators. Activates when users ask about price patterns, chart analysis, or technical signals for any pool across 36 chains.
coinpaprika/claude-marketplace · ★ 9 · AI & Automation · score 69
Install: claude install-skill coinpaprika/claude-marketplace
# Technical Analysis Skill Analyzes OHLCV data across multiple timeframes to identify candlestick patterns, support/resistance levels, trend formations, and key price levels. ## When This Skill Activates - User asks about price patterns or chart formations - User mentions: "bullish?", "double top", "support level?", "resistance?" - User requests technical analysis for a trading pair - User asks about candlestick patterns, moving averages, or trends ## Data Retrieval Use DexPaprika MCP tools: 1. `getCapabilities()` - Load network synonyms for input normalization 2. `getPoolOHLCV(network, pool_address, start, interval, limit)` - Fetch candle data - Intervals: `1m`, `5m`, `10m`, `15m`, `30m`, `1h`, `6h`, `12h`, `24h` - Max 366 data points per request - Fetch 100+ candles for robust pattern detection 3. `getPoolDetails(network, pool_address)` - Current pool state and volume 4. `getPoolTransactions(network, pool_address)` - Recent trading activity 5. `getTokenDetails(network, token_address)` - Token context **Important:** OHLCV data provides raw price candles only. Technical indicators (EMA, RSI, MACD, VWAP) must be calculated from the raw data. ## Analysis Framework ### 1. Candlestick Analysis From raw OHLCV candles, determine: - Body size (close - open), wick lengths (high - low) - Candle types: bullish/bearish, doji, hammer, shooting star, marubozu, engulfing - Sequential patterns: morning star, evening star, three white soldiers ### 2. Support & Resistance -