Skip to content

dmitryartuh/TwitterDegens

Repository files navigation

Twitter Degens: Tracking and Analyzing Crypto Influencers

Idea

The goal of this project is to monitor and analyze the activity of well-known crypto influencers (often referred to as "degens") on Twitter. By subscribing to their tweets, we can gather data for in-depth analysis, including:

  1. Token Mentions: Identify all the cryptocurrency tokens they promote or mention in their tweets.
  2. Price Impact Analysis: Measure the price impact of these tokens after the influencer's posts.
  3. Statistical Insights: Provide detailed analytics on each influencer's performance, including their reach, engagement, and the success rate of their token picks.

How It Works

  1. Subscribe to Influencers:

    • Create a list of prominent crypto degens on Twitter.
    • Use Twitter's API or web scraping tools to fetch their tweets in real-time or historically.
  2. Token Extraction:

    • Analyze the tweets to identify mentions of cryptocurrency tokens (e.g., $BTC, $ETH, or lesser-known altcoins).
    • Use natural language processing (NLP) to filter out irrelevant content and focus on actionable token mentions.
  3. Price Impact Analysis:

    • Track the price of mentioned tokens before and after the tweet.
    • Calculate metrics such as:
      • Percentage price change (1h, 24h, 7d post-tweet).
      • Trading volume spikes.
      • Market cap changes.
  4. Influencer Statistics:

    • Build a profile for each degen, including:
      • Average engagement rate (likes, retweets, replies).
      • Success rate of their token picks (e.g., % of tokens that pumped after their tweet).
      • Historical performance of their recommendations.
    • Rank influencers based on their impact and reliability.

Potential Use Cases

  • Investors: Identify which degens have a proven track record of influencing token prices positively.
  • Traders: Use real-time alerts to capitalize on price movements triggered by influencer tweets.
  • Researchers: Study the correlation between social media activity and crypto market behavior.

Example Output

Influencer Profile: @CryptoDegen123

  • Total Tweets Analyzed: 500
  • Tokens Mentioned: 120
  • Average Engagement Rate: 8.5%
  • Success Rate (Tokens That Pumped): 65%
  • Top Performing Mentions:
    • $DOGE: +45% in 24h
    • $SHIB: +30% in 12h
    • $PEPE: +20% in 6h

Token Analysis: $DOGE

  • Price Before Tweet: $0.10
  • Price After Tweet (24h): $0.145 (+45%)
  • Volume Increase: 300%
  • Market Cap Change: +$5B

Why This Matters

Crypto degens on Twitter often have a significant impact on the market, especially for low-cap altcoins. By systematically tracking and analyzing their activity, we can:

  • Separate signal from noise.
  • Identify trends and opportunities early.
  • Avoid falling for pump-and-dump schemes.

This tool could become an essential resource for anyone navigating the volatile and hype-driven world of cryptocurrency.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages