AI-Powered Stock Intelligence

Find your
edge.

Get instant AI-powered analysis on any stock. Real-time data, 50+ financial metrics, market sentiment, and intelligent recommendations.

AI Analysis
Real-time Data
50+ Metrics

AI-Powered Insights

Advanced AI analysis provides intelligent buy/sell recommendations with detailed investment thesis.

Real-Time Data

Live price updates, volume, and trading activity sourced directly from major exchanges.

50+ Metrics

Comprehensive financial metrics including valuation, profitability, growth, and health indicators.

Analyst Consensus

Aggregated analyst ratings and price targets from Wall Street research firms.

Market Sentiment

CNN Fear & Greed Index integration to gauge market psychology and timing.

Latest News

Curated news feed with the most relevant headlines impacting your stocks.

50+
Financial Metrics
10K+
Stocks Supported
5
Data Sources
<5s
Analysis Time

Powerful Features

Everything you need to make informed investment decisions.

TradingView Charts

Interactive professional-grade charts with technical indicators and multiple timeframes.

Valuation Analysis

P/E, P/B, PEG, EV/EBITDA ratios to determine if a stock is over or undervalued.

Profitability Metrics

Gross, operating, and net margins plus ROE and ROA analysis.

Growth Analysis

Revenue and earnings growth trends to identify momentum stocks.

Financial Health

Debt/equity, current ratio, and quick ratio to assess balance sheet strength.

Dividend Tracking

Yield, payout ratio, and dividend history for income investors.

How This Was Built

A zero-cost cloud architecture proof of concept, built entirely with GitHub Copilot and free-tier services. This is my calling card as a Cloud Engineer.

D
Deish
Cloud Engineer & Solutions Architect

The Idea

I wanted to prove that you can build a production-quality, AI-powered application without spending a single dollar on infrastructure. By strategically combining free-tier cloud services and publicly available APIs, I created a fully functional stock analysis platform that rivals expensive commercial solutions.

The entire application—from the frontend to the AI backend—was developed using GitHub Copilot as a pair programming partner, demonstrating how modern AI tools can accelerate development while maintaining code quality.

Architecture & Services

Every component was chosen for its generous free tier and seamless integration capabilities:

Azure Static Web Apps
Free Tier

Hosts the frontend with global CDN distribution, custom domain support, and automatic SSL certificates. Zero configuration, zero cost.

Azure Functions
Free Tier

Serverless PowerShell backend that orchestrates API calls, scrapes data, and generates AI insights. 1 million free executions/month.

OpenAI API
Free Credits

GPT-4o powers the AI investment analysis. New accounts receive free API credits—enough for thousands of stock analyses.

Yahoo Finance
Free API

Real-time stock quotes, historical data, and 50+ financial metrics. No API key required—completely free and unlimited.

CNN Fear & Greed
Free API

Market sentiment indicator that measures investor psychology. Publicly available endpoint, no authentication needed.

GitHub Copilot
AI-Assisted

100% of this application's code was written with Copilot. From HTML/CSS to PowerShell Azure Functions—AI-accelerated development.

Monthly Cost Breakdown

The entire infrastructure runs at zero cost by staying within free tier limits:

Service Monthly Cost
Azure Static Web Apps (Free tier) $0.00
Azure Functions (1M free executions) $0.00
Custom Domain (ticker.deish.net) $0.00
SSL Certificate (Auto-provisioned) $0.00
Yahoo Finance API $0.00
CNN Fear & Greed API $0.00
OpenAI API (Free credits) $0.00*
Total Monthly Cost $0.00

*OpenAI provides free credits for new accounts. After credits expire, usage is approximately $0.01 per analysis.

Tech Stack

A deliberately simple stack that prioritizes reliability and maintainability:

HTML5 CSS3 JavaScript PowerShell Azure OpenAI GPT-4o GitHub Copilot TradingView Lucide Icons

Key Takeaways

This project demonstrates several cloud engineering principles:

  • Cost Optimization: Leveraging free tiers effectively can eliminate infrastructure costs entirely for small-to-medium workloads.
  • Serverless Architecture: Azure Functions scale automatically from zero—pay nothing when idle, scale infinitely under load.
  • API Aggregation: Combining multiple free data sources creates value greater than the sum of its parts.
  • AI-Assisted Development: GitHub Copilot dramatically accelerates development while maintaining code quality.

Find This Useful?

Ticker is free and always will be. If this project helped you or you appreciate the engineering behind it, consider buying me a coffee!

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Analyzing AAPL...
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Analyzing fundamentals
Generating AI insights