Full-Stack Developer for Stock Analysis Platform

# Freelancer Needed – Stock Analysis & Investment Research Website We are looking for an experienced **Full-Stack Developer / Financial Data Developer** to build a modern web platform for **stock market analysis and investment research**. ## Project Goal We want to create a website where users can enter a **company name or stock ticker** and receive a clear, data-driven analysis that helps them evaluate whether a stock appears attractive for further research. The platform should analyze the company's **financial health, valuation, growth, profitability, risks, and market performance** and present the results in a simple and professional way. > Important: The platform must present results as **research/decision-support signals**, not guaranteed investment advice or guaranteed buy/sell recommendations. ## Core Features ### 1. Stock Search Users should be able to search by: * Company name * Stock ticker * Exchange Example: * Apple — AAPL * Microsoft — MSFT * NVIDIA — NVDA * Amazon — AMZN ### 2. Stock Analysis Dashboard For each company, display: * Current stock price * Daily change * Market capitalization * P/E ratio * Forward P/E * EPS * Revenue * Revenue growth * Net income * Profit margin * ROE * ROA * Debt-to-equity * Free cash flow * Dividend yield * Price-to-sales * Price-to-book * 52-week high/low ### 3. Fundamental Analysis Create an automated fundamental analysis system that evaluates: * Revenue growth * Earnings growth * Profitability * Cash flow * Debt levels * Financial stability * Return on equity * Business growth * Valuation The system should generate an overall **Fundamental Score from 0–100**. ### 4. Technical Analysis Include charts and technical indicators such as: * Moving averages * RSI * MACD * Support levels * Resistance levels * Trading volume * 52-week trend * Price momentum Generate a **Technical Score from 0–100**. ### 5. Valuation Analysis The platform should evaluate whether the stock appears: * Undervalued * Fairly Valued * Overvalued Where data is available, include: * Historical P/E comparison * P/E vs industry * P/S vs industry * P/B vs industry * Growth vs valuation * Optional DCF valuation ### 6. Overall Investment Signal Create a clear dashboard such as: **Overall Score: 78/100** Possible signals: Strong Positive Neutral Caution High Risk The score should be calculated from multiple factors rather than being based on one indicator. Example weighting: * Fundamental Analysis: 40% * Valuation: 25% * Technical Analysis: 20% * Risk Analysis: 15% These weights should be configurable from the admin panel. ### 7. Risk Analysis Display important risks including: * High valuation * High debt * Declining revenue * Declining earnings * Weak cash flow * High volatility * Negative momentum * Industry risks Show a **Risk Score from 0–100**. ### 8. Buy / Watch / Avoid Research Signal The website should provide a simple research-oriented conclusion such as: **Potentially Attractive** **Watchlist** **Caution** **High Risk** The result must include a clear explanation of **WHY** the system reached that conclusion. For example: > "The company has strong revenue growth and profitability, but its current valuation is significantly above the sector average. The platform therefore classifies the stock as 'Watchlist' rather than 'Potentially Attractive'." ## Interactive Charts The website should include professional charts for: * Stock price history * Revenue growth * Earnings growth * Free cash flow * Profit margins * Valuation multiples * Moving averages * Volume Charts should support different time periods such as: * 1D * 1W * 1M * 6M * 1Y * 5Y * Max ## News & Market Sentiment If reliable APIs are available, integrate: * Latest company news * Earnings announcements * Major corporate events * Analyst sentiment * Market sentiment News should display the source and publication date. ## AI Analysis Add an optional AI-powered analysis layer that summarizes the available financial data in simple language. The AI should answer questions such as: * Why is this stock rated positively? * What are the biggest risks? * Is the valuation expensive? * What should an investor monitor? * What are the strongest and weakest financial metrics? The AI must **never fabricate financial data**. Every analysis should be based on actual retrieved data. ## Markets The architecture should allow support for multiple markets, including: * US Stocks * Saudi Arabia * UAE * UK * European markets The system should be designed so additional exchanges can be added later. ## Financial Data API The developer should recommend and integrate a reliable financial market data API. The API should provide, where available: * Real-time or delayed prices * Historical prices * Financial statements * Company fundamentals * Earnings * Dividends * Stock statistics * News