Using the Fibonacci Sequence for Stock Price Analysis
Plans
- Backend with Java Spring:
- Spring Boot Project:
- Set up a Spring Boot project using Maven or Gradle.
- Use Spring MVC for handling HTTP requests.
- Database and JPA:
- Choose a relational database like SQLite
- Utilize Spring Data JPA for seamless database interactions.
- Financial Data API Integration:
- Integrate a Yahoo finance API to fetch historical stock prices.
- 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.
- Sorting
- sort for Fibonacci common retracement numbers like 23.8% or 0.238 in the historic stocks data
- Spring Boot Project:
- Frontend with Jekyll:
- HTML and Liquid Templating:
- Use HTML and Liquid templating to structure the frontend.
- Styling with CSS:
- Apply SCSS for styling.
- 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 }; } ```
- 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.
- HTML and Liquid Templating: