Welcome to the Python Crypto Data Analysis Tool repository! This tool focuses on gathering cryptocurrency data, performing data analysis, generating visualizations, and providing insights using web scraping techniques. Additionally, it offers information about the Fear and Greed Index in the crypto market. Future updates will introduce multiple functionalities using Machine Learning (ML) to predict values or detect potential growth in altcoins, and may include text mining techniques.
To use this tool, follow these steps:
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Clone the repository:
git clone https://github.com/kottoization/PythonWebScrapping.git
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Install dependencies:
cd PythonWebScrapping pip install -r requirements.txt -
Run the application:
python Main.py
The tool utilizes web scraping techniques to gather real-time data related to cryptocurrencies.
It provides graphical representations like charts, graphs, and plots for visualizing collected data, aiding in understanding market trends.
Performing statistical and exploratory data analysis (EDA) to derive meaningful insights and trends from the gathered cryptocurrency data.
Provides an overview of the Fear and Greed Index in the crypto market, indicating the sentiment of investors towards cryptocurrencies.
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Machine Learning Integration: Integrate ML models to predict cryptocurrency prices, identify potential growth in specific altcoins, and offer insights based on historical data. Adding multiple variables with strong correlation to the price will be crucial.
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Text Mining Techniques: Implement text mining to analyze sentiment from social media, news articles, forums, etc., to gauge market sentiment and inform decision-making processes.