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Note: You must have experience with MATLAB, or Mathematica. If you do not meet these requisites do not bid.
The project is the real-time optimization of an options portfolio. The project will require the minimization, maximization, and constraint or 'best compromise' of thousands of data points. The variables consist of profit/loss, yield, delta, and vega. The program will minimize certain values, at certain points, while optimizing other values at other specific points. There will be anywhere from 30,000 points to upward of 1,000,000+ points. The project requires a seasoned parallel computing developer with MatLab, Mathematica and optimization experience.
The program will optimize option variables.The full scale optimization will optimize for Vega, yield, profitability (P.P.) and delta. It will include 1 optimization button, fields to input, theta, and yield and profitability values. A custom algorithm will be devised by the programmer to minimize and maximize according to the functional requirements. Further, these initial variables equal billions of possible combinations. Therefore, you will implement a custom solution to solve for the variables entered by the user by utilizing parallel computing.
Another issue is the optimization needs to be relatively quick (< 2 minutes) since we are trading on real-time options data.