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technical-analysis

Automate technical analysis on stock market data using pandas and numpy.

Updated Apr 21, 2026
Search Tags:#technical indicators#technical analysis#stock market#chart patterns#trend analysis
One-click install
npx skills add https://github.com/jayjpatel9717/kurukshetra --skill technical-analysis-jayjpatel9717
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: technical-analysis
Source: https://github.com/jayjpatel9717/kurukshetra/tree/main/squads/stocks/agents/surya/skills/technical-analysis
Command: npx skills add https://github.com/jayjpatel9717/kurukshetra --skill technical-analysis-jayjpatel9717

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of technical analysis, providing comprehensive insights on trends, key levels, and trade setups for stocks.

Core Features & Use Cases

  • Trend Identification: Determines the current trend and its strength using moving averages and ADX.
  • Support & Resistance: Calculates support and resistance levels based on historical prices and patterns.
  • Momentum Assessment: Evaluates the momentum of a stock using RSI, MACD, and Stochastic indicators.
  • Volume Confirmation: Confirms price moves using volume analysis and accumulation/distribution patterns.
  • Pattern Recognition: Identifies chart patterns and their implications for potential trade setups.
  • Use Case: For a given stock, this Skill can be used to generate a detailed analysis report that includes the current trend, support/resistance levels, momentum indicators, volume analysis, and identified chart patterns.

Quick Start

Generate a technical analysis report for the stock 'TCS' using the technical-analysis skill.

Frequently Asked Questions about technical-analysis

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

FAQPage Schema
How do I automate technical analysis on stock market data?▼

Automating technical analysis on stock market data involves processing historical prices and volumes to calculate indicators and generate trading signals. This Skill handles that workflow automatically using pandas, numpy, and TA-Lib to output trend and momentum insights.

What technical indicators can I use to identify stock trends and momentum?▼

To identify stock trends and momentum, you can use moving averages and ADX for trend strength, alongside RSI, MACD, and Stochastic indicators. This Skill calculates these technical indicators automatically to evaluate current market conditions.

How do I calculate support and resistance levels from historical stock prices?▼

Calculating support and resistance levels from historical stock prices requires analyzing past price action and chart patterns. This Skill processes historical price data to identify these key levels, helping you determine potential trade setups and price barriers.

Does this technical analysis tool require TA-Lib and pandas to generate trading signals?▼

Yes, generating trading signals with this technical analysis tool requires TA-Lib, pandas, and numpy. These libraries handle the mathematical calculations and data manipulation needed to process historical stock prices and volume data without manual intervention.

Can I identify chart patterns and confirm price moves using volume analysis?▼

Identifying chart patterns and confirming price moves using volume analysis is fully supported. The Skill evaluates accumulation and distribution patterns alongside historical prices to recognize chart formations and validate potential trade setups.

What's the best way to generate a comprehensive technical analysis report for a specific stock?▼

The best way to generate a comprehensive technical analysis report for a specific stock is to run an automated analysis on its historical data. This Skill compiles trend identification, momentum indicators, volume confirmation, and chart patterns into a detailed output.

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