Quantum-Based Predictive Market Analysis (QBPMA)

Description

Quantum-Based Predictive Market Analysis (QBPMA) is a quantum algorithm designed to analyze and predict market trends with higher accuracy using quantum computing principles.

Offering

This project is available for purchase. For inquiries regarding pricing and licensing, please contact us at quantascript@gmail.com.

Mathematical Equations

1. Feature Extraction: Percentage change calculation

   pct\_change = X t - X t - 1 X t - 1

2. Quantum Circuit Initialization: Creating superposition states

   | ψ ⟩ = H | 0 ⟩ n

3. Measurement: Collapsing quantum state

   M ( | ψ ⟩ ) = | x ⟩ with probability | ⟨ x | ψ ⟩ | 2

Installation

To use QBPMA, you'll need to install the following dependencies:

• numpy
• pandas
• qiskit
• scikit-learn

You can install them using pip:

pip install numpy pandas qiskit scikit-learn

Usage

1. Clone the repository:

   git clone https://github.com/QuantaScriptor/Quantum-Based-Predictive-Market-Analysis-QBPMA.git

2. Navigate to the project directory:

   cd Quantum-Based-Predictive-Market-Analysis-QBPMA

3. Run the script:

   python qbpma.py

License

This project is licensed under the GNU Affero General Public License v3.0. See the LICENSE file for details.