https://github.com/ayushworks-24/bitcoin-price-predictor
Bitcoin price predictor using LSTM and Streamlit with real-time data and calendar-based forecast
https://github.com/ayushworks-24/bitcoin-price-predictor
cryptocurrency data-visualization deep-learning forecasting keras lstm machine-learning neural-networks streamlit time-series yfinance
Last synced: 3 months ago
JSON representation
Bitcoin price predictor using LSTM and Streamlit with real-time data and calendar-based forecast
- Host: GitHub
- URL: https://github.com/ayushworks-24/bitcoin-price-predictor
- Owner: AyushWorks-24
- Created: 2025-06-19T18:00:35.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-19T18:04:18.000Z (4 months ago)
- Last Synced: 2025-06-19T19:27:31.477Z (4 months ago)
- Topics: cryptocurrency, data-visualization, deep-learning, forecasting, keras, lstm, machine-learning, neural-networks, streamlit, time-series, yfinance
- Language: Jupyter Notebook
- Homepage:
- Size: 1.96 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📈 Bitcoin Price Predictor
A **machine learning-powered web application** to predict future Bitcoin prices using historical data. Built with **Keras (LSTM)** and **Streamlit**, this app lets users view historical trends, compare real vs predicted values, and forecast prices for future dates.
---
## 🔧 Features
- 📊 Visualize historical Bitcoin price data (2015 to present)
- 🤖 Predict prices using a trained LSTM model
- 🔁 Show actual vs predicted prices for recent data
- 📅 Forecast next 5 days of Bitcoin prices
- 🗓️ Use an interactive calendar to forecast price for any date up to a year ahead
---
## 🧠 Model
- Model Type: LSTM (Long Short-Term Memory Neural Network)
- Framework: Keras
- Input: Past 100 days of Bitcoin closing prices
- Output: Next day predicted closing price
- File: `Bitcoin_Price_prediction_Model.keras`
---
## 🗂️ Folder Structure
```
Bitcoin_Predictor/
│
├── app.py # Streamlit application file
├── Bitcoin_Price_prediction_Model.keras # Trained LSTM model
├── requirements.txt # Project dependencies
├── Bitcoin_predictor.ipynb # Jupyter Notebook (training/testing)
└── README.md # Project documentation
```
---
## 🚀 Getting Started
### 1. Clone the Repository
```bash
git clone https://github.com/yourusername/bitcoin-predictor.git
cd bitcoin-predictor
```
### 2. Install Dependencies
```bash
pip install -r requirements.txt
```
### 3. Launch the App
```bash
streamlit run app.py
```
The app will open in your browser at `http://localhost:8501`.
---
## 📦 Dependencies
- streamlit
- yfinance
- pandas
- numpy
- keras
- scikit-learn
---
## 📝 Usage
- View and explore historical price charts.
- Compare model predictions vs actual prices.
- Predict prices for the next 5 days automatically.
- Use the calendar to select any future date and get the predicted value.
---
## 📌 Notes
- This app dynamically pulls the latest Bitcoin data using Yahoo Finance.
- Forecasts are generated based on recursive predictions from the trained model.
---
## 📬 Contact
For contributions or queries, contact [sid242294@gmail.com].