Verified:GitHub

AI Stock Researcher

Automate stock research with fundamental, technical, and news analysis.

Updated Apr 26, 2026

Search Tags:#market analysis #financial analysis #investment analysis #stock research #AI recommendation

One-click install

npx skills add https://github.com/prafulkumar17/Stock-Analyser --skill ai-stock-researcher

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: AI Stock Researcher
Source: https://github.com/prafulkumar17/Stock-Analyser/tree/main/.agents/skills/stock_researcher
Command: npx skills add https://github.com/prafulkumar17/Stock-Analyser --skill ai-stock-researcher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, pandas-ta, langchain, chromadb, fastapi, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of conducting thorough stock research, including fundamental, technical, and news analysis, and provides investment recommendations.

Core Features & Use Cases

Fundamental Analysis: Evaluate financial strength based on revenue, profit growth, and ratios.
Technical Analysis: Analyze price behavior and indicators like RSI, MACD, and SMA.
Trend Analysis: Assess long-term market structure and historical performance.
News Analysis: Analyze recent financial news for sentiment and potential catalysts.
Decision Making: Combine analysis results to provide buy, hold, or sell recommendations.
Use Case: Utilize this Skill to quickly analyze a stock like TCS and receive a structured recommendation with reasoning.

Quick Start

Use the AI Stock Researcher skill to analyze the stock TCS and generate a recommendation.

Frequently Asked Questions about AI Stock Researcher

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

FAQPage Schema

What financial indicators are used for technical analysis in automated investment analysis?▼

Fundamental analysis evaluates financial strength by analyzing revenue, profit growth, and financial ratios to assess a stock's underlying value.

Does AI stock research require paid APIs for market data and news?▼

Yes, stock research requires setting up Python libraries including pandas, numpy, pandas-ta, langchain, chromadb, and fastapi for data processing and analysis.

Can I analyze market sentiment from financial news for stock recommendations?▼

Yes, news analysis assesses recent financial news to determine market sentiment and identify potential catalysts, combining results with technical and fundamental data for recommendations.

What's the best way to combine fundamental and technical analysis for a stock recommendation?▼

The best way to combine fundamental and technical analysis is through an automated agent-based architecture that evaluates revenue, profit growth, price behavior, and news sentiment to output structured recommendations.