Project Title: Python Developer Needed for Streaming Data Dashboard

Job ID: 38464076

Budget: $1,500 – $3,000 USD

Description: I am looking for an experienced Python developer to help build a dynamic dashboard for monitoring key performance indicators (KPIs) related to stock market data.

This project will involve integrating streaming data from a stock broker's data feed and creating real-time visualizations.

Key Deliverables:

Dashboard Creation: Develop a user-friendly dashboard that displays KPIs related to stock market data.Include a section for monitoring the movement of various Options Greeks (e.g., Delta, Gamma, Theta, Vega) for selected instruments and expiry dates.

Implement a section to analyze the relative strength of various stocks based on daily closing prices.

Data Integration: Integrate real-time streaming data from the broker's API into the dashboard. Ensure smooth and efficient data handling for real-time updates and visualizations.

Technical Requirements: Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, Plotly, Dash, or similar for data manipulation and visualization.

Experience working with financial data, especially Options Greeks, is highly preferred. Familiarity with APIs for streaming stock market data.

Documentation and Support: Provide clear documentation on the code, including setup instructions. Offer support for any initial issues during the integration and testing phase.

Skills Required:

Python, Data Visualization, Financial Data Analysis, API Integration, Options Greeks Knowledge

Timeline: Please specify your availability and estimated time to completion.

Budget: Open to proposals; please include your rate and any previous similar project experience.

Minimum requirements:

1. Should have hands-on experience in coding for *financial markets /traders*.

2. Should be good at logic and numbers.

3. Should be well versed with Python, API, Numpy and Pandas.

4. This is a individual contributor role, and the contractor should be comfortable handling the project end-to-end in an independent manner.

5. There will be only ONE MILESTONE, on successful delivery of project. There will be NO intermediary payments.

6. Scheduled backup,

7. Data cleansing

8. Output should be displayed in POWERBI (Open for other options)

9. Contractor should be available for 30 days post project handover to solve any teething issues.

10. Clear documentation is the key
Related categories: JavaScript Python NumPy DevOps Pandas