| --- |
| license: mit |
| title: Synthetic Stock Data Generator & Visualizer |
| emoji: 🧠 |
| colorFrom: blue |
| colorTo: purple |
| sdk: gradio |
| sdk_version: 4.0 |
| app_file: app/app.py |
| pinned: false |
| --- |
| # 🧠 Synthetic Stock Data Generator & Visualizer |
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| This project builds a **synthetic stock market data generator** using a combination of **Autoencoders (AE)** and **Generative Adversarial Networks (GANs)**. |
| The goal is to create realistic synthetic financial time-series data and compare model performance between **real** and **synthetic** datasets. |
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| ## 🚀 **Project Overview** |
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| ### 🔹 Workflow |
| 1. **Autoencoder (AE):** |
| - Encodes stock price data into a compressed **latent space**. |
| - Captures temporal and feature-based dependencies between Open, High, Low, Close, and Volume. |
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| 2. **GAN (Generator + Discriminator):** |
| - Learns to generate **synthetic latent vectors** that mimic the AE latent representations. |
| - Generator produces fake latent vectors. |
| - Discriminator learns to distinguish between real (from AE encoder) and fake (from Generator). |
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| 3. **Synthetic Data Reconstruction:** |
| - The **synthetic latent vectors** are passed through the **AE Decoder**. |
| - This recreates **synthetic stock market data** at the feature level (Open, High, Low, Close, Volume). |
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| 4. **Model Evaluation:** |
| - A downstream **neural network classifier** is trained on: |
| - Real data |
| - Synthetic data |
| - Performance metrics and comparison charts are saved in the `/charts` folder. |
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| ## 📊 **Visualization App** |
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| The project includes a **Gradio-powered dashboard** to visualize stock time series for real and synthetic data. |
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| ### 🖥️ Try it on Hugging Face |
| If you’re viewing this on Hugging Face, launch the app directly below 👇 |
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| [](https://huggingface.co/spaces/Raheel31/Synthetic_Stock_Data) |
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| ### 🔍 App Features |
| - Select any stock ticker and feature (Open, High, Low, Close, Volume) |
| - View **5-year time series** comparisons of **original vs synthetic data** |
| - Interactive plots rendered with `matplotlib` |
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| ## 📂 **Repository Structure** |
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