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# [Portfolio Optimization using Qiskit and Eikon Data API] (https://shadab-hussain.medium.com/portfolio-optimization-using-qiskit-and-eikon-data-api-8c684e826cd2)
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# [Portfolio Optimization using Qiskit and Eikon Data API](https://shadab-hussain.medium.com/portfolio-optimization-using-qiskit-and-eikon-data-api-8c684e826cd2)
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Financial institutions are testing early use-cases of Quantum Technologies for NP hard problems which are uncertain or difficult to optimize.
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In this article, we are going to make use of quantum computers for building an optimal portfolio out of FAANG (Facebook, Apple, Amazon, Netflix, Google) stocks using mean-variance portfolio optimization technique. Initially we will talk about basics of Quantum Computing and Portfolio Optimization. Later on we will jump to coding- where we will do initial setup, load data from Eikon API, do some basic analysis, implement mean-variance portfolio technique classically and then using VQE & QAOA.
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