A Stock Price Prediction system using JavaScript is a web-based tool that attempts to forecast future stock prices using historical data and predictive algorithms. While JavaScript isn't traditionally used for heavy machine learning tasks, it can handle basic prediction models, data visualization, and frontend interaction efficiently using libraries and APIs.

# Key Features

• Historical Data Fetching: Pulls stock price data using APIs (like Alpha Vantage, Yahoo Finance, or Finnhub).
• Data Visualization: Graphs and charts display trends using libraries like Chart.js or D3.js.

Prediction Models:

• Simple Linear Regression (JS-based)
• Moving Averages
• Optionally, integrate TensorFlow.js for advanced models (e.g., LSTM, RNN)
• User Interface: Allows users to input stock symbols and dates to view trends and predictions.
• Live Updates: Can include real-time price tracking via WebSocket or API polling.

#How It Works

• User Input: User selects a stock ticker (like AAPL or TSLA).
• Fetch Historical Data: JavaScript fetches time-series data from an external API.

Analyze Data:

• Apply basic statistical models or machine learning via TensorFlow.js.
• Generate future price predictions.

Display Results:

• Show predictions on a graph alongside historical prices.
• Highlight buy/sell signal zones if applicable.
• #Tech Stack
• Frontend: HTML, CSS, JavaScript
• Visualization: Chart.js, D3.js

Prediction:

• Basic: Custom JS logic for linear regression/moving averages
• Advanced: TensorFlow.js for ML models
• APIs: Alpha Vantage, Yahoo Finance, IEX Cloud (for stock data)

# Advantages

• Easy to use, no installation needed
• Runs entirely in the browser (client-side)
• Good for educational or prototype purposes
• Real-time data visualization and interaction

# Limitations

• JavaScript (in the browser) has limited computational power for complex models
• Accuracy depends on the model and data — simple models may not predict real market trends accurately
• Real-world trading needs more robust backends and regulation compliance