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crypto-ta-analyzer

Aggregate 29+ indicators to generate consensus trading signals for crypto and stocks.

Updated Aug 27, 2026
Search Tags:#python#backtesting#indicators#crypto#technical-analysis#signal-generation
One-click install
npx skills add https://github.com/dennisccy/finovae_strategy_platform --skill crypto-ta-analyzer-dennisccy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: crypto-ta-analyzer
Source: https://github.com/dennisccy/finovae_strategy_platform/tree/main/.claude/skills/crypto-ta-analyzer
Command: npx skills add https://github.com/dennisccy/finovae_strategy_platform --skill crypto-ta-analyzer-dennisccy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Technical analysis of crypto and equity prices can be brittle when relying on a single indicator; this skill aggregates 29+ indicators to produce robust, consensus trading signals.

Core Features & Use Cases

  • Multi-indicator consensus: combines RSI, MACD, BB, Ichimoku, OBV, MFI, and more to generate a unified signal.
  • Divergence & volume validation: detects bullish/bearish divergences and uses volume confirmation to improve reliability.
  • 7-tier signals: produces STRONG_BUY, BUY, WEAK_BUY, NEUTRAL, WEAK_SELL, SELL, STRONG_SELL with confidence estimates.
  • World-class flexibility: supports crypto and stock data, multiple timeframes, and backtesting workflows.

Quick Start

Provide historical OHLCV data to run the technical analyzer and receive a 7-tier signal with detailed indicator breakdown.

Frequently Asked Questions about crypto-ta-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a consensus crypto trading signal from multiple technical indicators?▼

Multi-indicator technical analysis aggregates 29+ indicators like RSI, MACD, and Bollinger Bands to produce a unified crypto trading signal. It outputs a 7-tier consensus ranging from STRONG_BUY to STRONG_SELL, with confidence estimates to prevent brittle single-indicator reliance.

What is the best way to detect bullish and bearish divergences with volume validation in crypto?▼

Multi-indicator technical analysis detects bullish and bearish divergences by applying volume confirmation. Cross-referencing volume indicators like OBV and MFI with price action improves signal reliability and filters out false divergence patterns.

How do I run technical analysis on historical OHLCV data for multiple timeframes?▼

Provide historical OHLCV data to a multi-indicator analyzer to run technical analysis across multiple timeframes. It handles data quality checks for crypto and stock markets, outputting structured results with per-indicator scores and current price changes.

Does this multi-indicator technical analysis approach work for both crypto and stock markets?▼

Yes, multi-indicator technical analysis works for both crypto and stock markets. It processes historical OHLCV data across multiple timeframes to generate robust 7-tier trading recommendations, applying consensus logic and volume validation to both asset classes.

Can I use pandas and numpy for backtesting crypto trading signals?▼

Yes, you can use pandas and numpy for backtesting crypto trading signals. The multi-indicator technical analysis workflow supports backtesting by outputting structured results including tradeSignal, scoreTotal, and per-indicator scores for strategy evaluation.

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