#MemecoinSentiment study effectively highlights the capability of sentiment analysis and machine learning techniques, particularly XGBoost, to predict market trends for meme coins within the cryptocurrency market. By combining social media sentiment with financial data, the research achieved an encouraging accuracy rate of 74%, showcasing the potential of sentimentbased forecasting models. Nonetheless, challenges such as interpreting informal sentiment and dealing with high market volatility persist. Future work should aim to improve sentiment analysis methods, incorporate diverse data sources, and address ethical implications. This research lays the foundation for more advanced, data-driven models for cryptocurrency market analysis, offering valuable insights for traders and investors