📈 ANFIS-Based Stock Price Prediction

This project trains an Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the next day's closing stock price using historical stock market data.

🚀 Overview

We apply a fuzzy inference layer and rule-based ANFIS model to learn from key market indicators and forecast the nextclose value, i.e., the closing price of the following trading day.

🧠 Model

• Model Type: Adaptive Neuro-Fuzzy Inference System
• Label: nextclose (next-day closing price)
• Features: Open, High, Low, Close, Volume

🛠 Tech Stack

• Python 3.x
• NumPy
• Pandas
• Scikit-learn
• Matplotlib

📁 Dataset

• dataset.csv is the input file
• A processed version with the nextclose column is saved as updated_dataset.csv during preprocessing

📦 Installation

git clone https://github.com/MohammadTvkl/Training-an-ANFIS-Using-Evolutionary-Algorithms.git
cd anfis-stock-price-prediction
pip install -r requirements.txt

▶️ How to Run

Run the notebook:

jupyter notebook notebooks/ANFIS_stock_prediction.ipynb

📊 Output

• Visual comparison between predicted and actual nextclose values
• Basic statistics and evaluation results