Python Driven Stock Market Trend Analysis

I am seeking a skilled Python developer who can create a tool to read and analyze both historical and real-time stock market data from the NSE. The ideal candidate should be capable of: - Extracting historical and real-time stock prices - Identifying trending stocks based on the extracted data - Displaying information about these trends such as stock symbols, stock prices, and the percentage change I want to filter on stocks in Nifty50 stocks only and check for following conditions in Futures and options data - For Buy Signal 3 conditions should be satisfied 1) Futures should have Long build up ( Price UP and Open Interest Up) 2) ITM or ATM calls has short covering ( Price Up and Open Interest Down) 3) ITM or OTM Put has short Build up ( Price Down and Open interest Up) - For Sell Signal 3 condiitons should be satisfied 1) Futures should have Short build up ( Price Down and Open Interest Up) 2) ATM or OTM calls has short Build up ( Price Down and Open Interest Up) 3) ITM or ATM Put has short Covering up ( Price UP and Open interest Down ) you can use Breeze API from icici bank to get the historica and live chart data. i want the setup to be tested on historical data and implement on live data for only Nifty50 Charts The developer should have a strong understanding of Python and prior experience with stock market data would be highly advantageous. I value clear, maintainable code and someone who can work independently. With this information, freelancers should bid accordingly.