📈 Stock Market Analytics & Price Prediction
An end-to-end data analytics and predictive modeling project that analyzes 10+ years of stock market data (2014–2024) to uncover trends, visualize insights, and predict future stock prices using Machine Learning and LSTM deep learning models.
📂 Dataset: Historical Stock Market Data (2014–2024) 🧠 Model: Trained LSTM (.h5)
✨ Key Features
📊 Long-Term Market Analysis Analyzes over a decade of stock market data to identify trends, cycles, and volatility patterns.
🧹 Data Cleaning & Preprocessing Handles missing values, scaling, feature selection, and time-series sequence generation.
📈 Exploratory Data Analysis (EDA) Visualizes stock prices, moving averages, daily returns, and volume trends.
📉 Technical Indicators Implements indicators like Simple & Exponential Moving Averages to understand price momentum.
🤖 Machine Learning Models Builds baseline regression models for performance comparison.
🧠 Deep Learning with LSTM Uses Long Short-Term Memory networks to capture long-term dependencies in time-series data.
📐 Model Evaluation Evaluates predictions using RMSE, MAE, and actual vs predicted price plots.
🛠️ Tech Stack
Programming: Python
Data Analysis: Pandas, NumPy
Visualization: Matplotlib, Seaborn
Machine Learning: Scikit-Learn
Deep Learning: TensorFlow / Keras (LSTM)
Tools: Jupyter Notebook, Git, GitHub
📂 Project Structure ├── Stock_Market_Analytics_Project.ipynb # Full analysis, EDA & modeling ├── stock_market_data_2014_2024.csv # Historical dataset ├── lstm_stock_model.h5 # Trained LSTM model ├── README.md # Documentation
🚀 How to Run Locally Prerequisites
Python 3.8+
Jupyter Notebook
Installation & Setup git clone cd pip install pandas numpy matplotlib seaborn scikit-learn tensorflow jupyter notebook Stock_Market_Analytics_Project.ipynb
📊 Results & Insights
✔ Clear visualization of bullish and bearish market phases
✔ LSTM model effectively captures temporal price patterns
✔ Predictions closely follow real market movements (subject to volatility)
🔮 Future Scope
🔁 Real-time stock data integration (Yahoo Finance / Alpha Vantage)
📊 Interactive dashboards using Streamlit or Power BI
📰 Sentiment analysis using financial news
🧠 Advanced models like GRU & Transformers
🌐 Web deployment using FastAPI
👤 Contact
JAVED AHMED KHAN 🔗 LinkedIn: https://www.linkedin.com/in/javed-ahmed-khan/
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