Python for Fast Options & Stocks Data Organization
Budget: ₹1,500 – ₹12,500 INR
I require a Python and C++ expert to help me organize and calculate data for options and stocks efficiently. The project involves creating a wrapper function to compute various technical indicators and ensure speedy updates of necessary dataframes.
Key tasks include:
- Using Python to manage and organize data from live market and historical sources
- Implementing a wrapper function for fast calculation of technical indicators such as Moving Averages, Relative Strength Index (RSI), and Bollinger Bands
- Ensuring quick updates of dataframes
The ideal candidate should have:
- Proficiency in Python and C++, particularly in data manipulation and analysis
- Experience working with live market data and historical data
- Familiarity with SQL and mongo databases, as my historical data is stored here
The goal is to ensure the calculations are done swiftly and the dataframes are updated in real-time. Speed and efficiency are key to this project.
Key tasks include:
- Using Python to manage and organize data from live market and historical sources
- Implementing a wrapper function for fast calculation of technical indicators such as Moving Averages, Relative Strength Index (RSI), and Bollinger Bands
- Ensuring quick updates of dataframes
The ideal candidate should have:
- Proficiency in Python and C++, particularly in data manipulation and analysis
- Experience working with live market data and historical data
- Familiarity with SQL and mongo databases, as my historical data is stored here
The goal is to ensure the calculations are done swiftly and the dataframes are updated in real-time. Speed and efficiency are key to this project.