├── Portfolio Optimization using Qiskit and Eikon Data API.ipynb
├── README.md
└── eikon.txt


/README.md:
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1 | # [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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3 | Financial institutions are testing early use-cases of Quantum Technologies for NP hard problems which are uncertain or difficult to optimize. 
4 | 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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/eikon.txt:
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1 | Paste Eikon Data API Key here
2 | 


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