Crypto Price Predictor-Tester

Test this app for free
43
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
        self.application = app
        self.options = options or {}
        super().__init__()

    def load_config(self):
        # Apply configuration to Gunicorn
        for key, value in self.options.items():
            if key in self.cfg.settings and value is not None:
                self.cfg.set(key.lower(), value)

    def load(self):
Get full code

Frequently Asked Questions

How can the Crypto Price Predictor-Tester benefit cryptocurrency traders and investors?

The Crypto Price Predictor-Tester offers valuable insights for cryptocurrency traders and investors by providing real-time price information and historical data visualization. This allows users to make more informed decisions based on price trends and patterns. In future iterations, the app's predictive capabilities could offer even more value by helping users anticipate potential market movements.

Can the Crypto Price Predictor-Tester be customized for specific cryptocurrencies or exchanges?

Yes, the Crypto Price Predictor-Tester can be easily customized to include additional cryptocurrencies or focus on specific exchanges. The current implementation uses the CoinGecko API, but the app's modular structure allows for integration with other data sources. To add more cryptocurrencies, you would simply need to update the crypto-select options in the home.html file and ensure the API endpoints support the new additions.

What are the potential business applications of the Crypto Price Predictor-Tester beyond individual traders?

The Crypto Price Predictor-Tester has several potential business applications: - Financial institutions could integrate it into their trading platforms to provide clients with quick market insights. - Cryptocurrency exchanges could use it as a value-added feature for their users. - Investment firms could utilize it as part of their research and analysis tools for cryptocurrency markets. - Educational platforms could incorporate it to teach students about cryptocurrency market dynamics and technical analysis.

How can I add a new API endpoint to the Crypto Price Predictor-Tester for additional functionality?

To add a new API endpoint to the Crypto Price Predictor-Tester, you would need to update the routes.py file. Here's an example of how you could add an endpoint to get the market cap of a cryptocurrency:

python @app.route("/api/market_cap/<crypto>") def get_market_cap(crypto): url = f"https://api.coingecko.com/api/v3/coins/{crypto}" response = requests.get(url) data = response.json() market_cap = data['market_data']['market_cap']['usd'] return jsonify({"market_cap": market_cap})

You would then need to create a corresponding JavaScript function in home.js to fetch and display this data on the frontend.

How can I modify the Crypto Price Predictor-Tester to use a different charting library instead of Chart.js?

To use a different charting library, you would need to replace the Chart.js implementation in the home.js file. For example, if you wanted to use Plotly.js instead, you would first need to include the Plotly.js library in your home.html file:

```html

```

Then, in home.js, you would replace the Chart.js implementation with Plotly.js:

javascript function fetchHistoricalData(crypto) { fetch(`/api/historical/${crypto}`) .then(response => response.json()) .then(data => { const trace = { x: data.dates, y: data.prices, type: 'scatter' }; const layout = { title: `${crypto.charAt(0).toUpperCase() + crypto.slice(1)} Price (USD)`, xaxis: { title: 'Date' }, yaxis: { title: 'Price (USD)' } }; Plotly.newPlot('chart-container', [trace], layout); }) .catch(error => console.error('Error fetching historical data:', error)); }

This modification would allow the Crypto Price Predictor-Tester to use Plotly.js for charting while maintaining its core functionality.

Created: | Last Updated:

An app to predict future cryptocurrency prices using mathematical algorithms, starting with current price display and historical data visualization.

Here's a step-by-step guide for using the Crypto Price Predictor template:

Introduction

The Crypto Price Predictor template provides a web application that displays current cryptocurrency prices and historical price data. It allows users to select from a list of cryptocurrencies and view their current prices along with a chart showing historical price trends.

Getting Started

To begin using this template:

  1. Click the "Start with this Template" button in the Lazy Builder interface.

Test the Application

Once you've started with the template:

  1. Click the "Test" button in the Lazy Builder interface.
  2. Wait for the application to deploy. The Lazy CLI will provide you with a dedicated server link to access the web application.

Using the Crypto Price Predictor

After deployment, you can use the application as follows:

  1. Open the provided server link in your web browser.
  2. You'll see a dropdown menu where you can select a cryptocurrency (Bitcoin, Ethereum, or Dogecoin).
  3. The current price of the selected cryptocurrency will be displayed.
  4. Below the price, you'll see a chart showing the historical price data for the past 30 days.

Features of the Application

  • Cryptocurrency Selection: Users can choose from Bitcoin, Ethereum, or Dogecoin.
  • Real-time Price Display: The current price of the selected cryptocurrency is shown.
  • Historical Price Chart: A line chart displays the price trends over the last 30 days.
  • Responsive Design: The application is designed to work on both desktop and mobile devices.

How It Works

The application uses the CoinGecko API to fetch current and historical price data for the cryptocurrencies. The frontend is built with HTML, CSS, and JavaScript, while the backend uses Flask to handle API requests and serve the web pages.

Customization

If you want to add more cryptocurrencies or modify the application:

  1. Edit the home.html file to add more options to the <select> element.
  2. Update the routes.py file to handle additional cryptocurrencies in the API endpoints.
  3. Modify the styles.css file to change the appearance of the application.

Remember, any changes you make will be automatically deployed when you test the application again.

By following these steps, you'll have a functional Crypto Price Predictor application up and running, allowing users to track cryptocurrency prices and view historical data.



Here are 5 key business benefits for this Crypto Price Predictor template:

Template Benefits

  1. Real-Time Market Insights: Provides up-to-date cryptocurrency price information, allowing users to make informed investment decisions based on current market conditions.

  2. Historical Data Visualization: Offers a 30-day price history chart, enabling users to analyze trends and patterns in cryptocurrency performance over time.

  3. Multi-Cryptocurrency Support: Includes options for tracking multiple cryptocurrencies (Bitcoin, Ethereum, Dogecoin), catering to diverse investor interests and portfolio management needs.

  4. Responsive Design: Features a mobile-friendly interface, ensuring accessibility across various devices and expanding the potential user base.

  5. Scalable Architecture: Built with a modular structure and database migration system, allowing for easy expansion of features and data management as the application grows.

Technologies

Streamline CSS Development with Lazy AI: Automate Styling, Optimize Workflows and More Streamline CSS Development with Lazy AI: Automate Styling, Optimize Workflows and More
Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More Enhance HTML Development with Lazy AI: Automate Templates, Optimize Workflows and More
Streamline JavaScript Workflows with Lazy AI: Automate Development, Debugging, API Integration and More  Streamline JavaScript Workflows with Lazy AI: Automate Development, Debugging, API Integration and More

Similar templates