CryptoMood

Using sentiment analysis from Twitter and Reddit to figure out which cryoto currencies to buy.

CryptoMood Initial Version Steps

1. Twitter

   • Access the Twitter API.
   • Get tweets by filtering with crypto-related hashtags.
   • Handle API rate limits and implement pagination.
   • Preprocess tweets to remove noise (URLs, mentions, etc.).

2. Reddit

   • Access the Reddit API.
   • Get posts from crypto-focused subreddits.
   • Handle API rate limits and implement pagination.
   • Preprocess posts to improve sentiment analysis accuracy.

3. Sentiment Analysis

   • Use the TextBlob sentiment analysis tool.
   • Analyze sentiment of tweets and posts.
   • Aggregate sentiment scores for each cryptocurrency.

4. Data Visualization

   • Create interactive dashboards with Plotly/Dash.
   • Display sentiment trends over time.
   • Visualize sentiment distribution among different cryptocurrencies.

5. Access Binance API

   • Fetch current prices of top 10 cryptocurrencies identified by sentiment analysis.
   • Compare sentiment analysis results with historical price data.

Additional Enhancements

• Implement robust error handling for API interactions.
• Consider data privacy and ethical aspects when presenting user-generated content.
• Plan for scalability and transitioning from a notebook to a more user-friendly application.
• Explore incorporating additional data sources like news articles in future versions.
• Investigate custom machine learning models tailored to cryptocurrency discussions.

Progress as of 3/3/2024

• I was able to get a basic trading bot going in the TradingBot folder. This uses the markers from Binance to determine if a certain crypto is a buy or sell. I was also able to visualize the markers using mpfiance.