Using the Fibonacci Sequence for Stock Price Analysis

Plans

• Backend with Java Spring:
  1. Spring Boot Project:
     • Set up a Spring Boot project using Maven or Gradle.
     • Use Spring MVC for handling HTTP requests.
  2. Database and JPA:
     • Choose a relational database like SQLite
     • Utilize Spring Data JPA for seamless database interactions.
  3. Financial Data API Integration:
     • Integrate a Yahoo finance API to fetch historical stock prices.
  4. Fibonacci Calculation:
     • Implement a service to calculate Fibonacci retracement levels based on historical stock data.
     • Define endpoints in a Spring Controller to expose this functionality.
  5. Sorting
     • sort for Fibonacci common retracement numbers like 23.8% or 0.238 in the historic stocks data
• Frontend with Jekyll:
  1. HTML and Liquid Templating:
     • Use HTML and Liquid templating to structure the frontend.
  2. Styling with CSS:
     • Apply SCSS for styling.
  3. Graph & Regression:
     • Use canvas to generate graphs based on monthly stock data
     • JS Code snippets

       ctx.beginPath();
       ctx.strokeStyle = 'red';
       ctx.lineWidth = 2;
       for (let i = 0; i < dataPoints; i++) {
       const x = canvas.width - 40 - i * xStep;
       const y = canvas.height - margin - (regression.slope * i + regression.intercept - minPrice) * yStep;
       if (i === 0) {
       ctx.moveTo(x, y);
       } else {
       ctx.lineTo(x, y);
       }
       }
       ctx.stroke();
       

       ```js function linearRegression(x, y) { const n = x.length; let sumX = 0; let sumY = 0; let sumXY = 0; let sumX2 = 0;

  for (let i = 0; i < n; i++) { sumX += x[i]; sumY += y[i]; sumXY += x[i] * y[i]; sumX2 += x[i] * x[i]; }

  const slope = (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX); const intercept = (sumY - slope * sumX) / n;

  return { slope, intercept }; } ```

  1. Testing and Deployment:
     • Test your Java Spring backend and Jekyll frontend components independently.
     • Deploy the Spring Boot application on a platform like Heroku or AWS.
     • Host the Jekyll frontend on platforms like GitHub Pages or Netlify.