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