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Python 29.55% HTML 23.25% CSS 12.57% JavaScript 34.63%
flask portfolio-optimization python qiskit quantum-algorithm

fintech--assignment's Introduction

Fintech--Assignment

FiQuantum

FiQuantum is a quantum computing-based financial analysis platform designed to optimize portfolios and model financial risks using advanced quantum algorithms.

Features

  • Quantum Portfolio Optimization: Leverages quantum algorithms to find optimized asset allocations.
  • Quantum Risk Modeling: Utilizes quantum computing power to build sophisticated risk models.

Technology Stack

  • Frontend: React
  • Backend: Flask
  • Quantum Computing: Qiskit

Setup

Frontend

  1. Navigate to the fiquantum-frontend directory.
    cd fiquantum-frontend
  2. Install dependencies:
    npm install
  3. Start the frontend server:
    npm start

Backend

  1. Navigate to the fiquantum-backend directory.
    cd fiquantum-backend
  2. Create and activate virtual environment:
    conda create -n fiquantum-env python=3.9
    conda activate fiquantum-env
  3. Install dependencies:
    pip install flask
    pip install qiskit==0.39.0
  4. Start the backend server:
    python app.py

Usage

  1. Open the frontend application in your browser.
  2. Input data for portfolio optimization. Example input:
       [
      ["IIIZ", -1],
      ["IIZI", 1],
      ["IZII", 1],
      ["ZIII", -1],
      ["XXII", 0.5],
      ["YYII", 0.5],
      ["ZZII", 0.5]
    ]
  3. Submit to see the optimized result.

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