Building a Real-Time Stock Price Tracker with .NET 8 GraphQL and Javascript React

Understanding the Project

This project aims to create a robust, real-time stock price tracker application. It leverages the capabilities of .NET 8 for backend development, GraphQL for API design, and React for the frontend user interface. The application will provide users with up-to-date market data, enabling informed decision-making.

Backend Development with .NET 8 GraphQL

• API Design: GraphQL is chosen for its flexibility and efficiency in data fetching. It allows clients to request only the specific data they need, reducing network overhead.

• Data Sources: The backend will integrate with financial data providers (e.g., Alpha Vantage, IEX Cloud) to retrieve real-time stock prices, historical data, and other market indicators.

• GraphQL Server: A .NET 8 GraphQL server will be built to handle API requests, process data, and return the requested information in a structured format.

Frontend Development with React

• User Interface: A user-friendly and responsive React interface will be designed to display real-time stock prices, charts, and other relevant market data.

• Data Fetching: React components will utilize GraphQL subscriptions to establish persistent connections with the backend and receive updates as stock prices change.

• State Management: Tools like Redux or Zustand can be employed to manage application state, ensuring data consistency and efficient updates.

Key Features

• Real-time Stock Price Updates: The application will display live stock prices, allowing users to monitor market movements in real time.

• Historical Data: Users can access historical price data for in-depth analysis and trend identification.

• Market Indicators: To provide additional insights, the application may include common market indicators like Relative Strength Index (RSI), Moving Averages (MA), and Bollinger Bands.

• Watchlists: Users can create and manage watchlists to track their favorite stocks or market sectors.

• Alerts: Customizable alerts can be set to notify users of significant price movements or other market events.

Use This New RSI Technique to Forecast Market Moves

Understanding RSI

The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is often used to identify overbought and oversold conditions in the market.  

The New RSI Technique

The article proposes a new RSI technique that involves:

1. Calculating RSI: Determine the RSI value using the standard RSI calculation method.

2. Identifying Divergence: Look for divergence between the RSI and the price chart. Divergence occurs when the RSI and price move in opposite directions.

3. Making Predictions: When divergence is observed, it can signal a potential reversal in the market. If the price is rising but the RSI is falling, it may indicate an overbought condition and a potential price decline. Conversely, if the price is falling but the RSI is rising, it may suggest an oversold condition and a potential price increase.

Key Points

• Divergence as a Signal: Divergence between the RSI and price is a strong indicator of potential market reversals.

• Confirmation: It is often recommended to combine RSI divergence with other technical indicators or fundamental analysis to increase the accuracy of predictions.

• Risk Management: As with any trading strategy, proper risk management is essential. Divergence signals do not guarantee future price movements, and losses can occur.

Conclusion

This article explores the development of a real-time stock price tracker using .NET 8 GraphQL and React, along with a new RSI technique for forecasting market moves. By combining these technologies and analytical tools, traders can gain valuable insights and make more informed investment decisions.

codeproject.com/Articles/5387952/Building-a-Real-Time-Stock-Price-Tracker-with-NET

abouttrading.substack.com/p/use-this-new-rsi-technique-to-forecast-903