LIVE CRYPTO SENTIMENT: SOCIAL MEDIA INFLUENCE ON MULTI-SECTORAL COIN AND ITS IMPACT ON PORTFOLIO RISK MANAGEMENT, USING DATA ANALYTICS

The project objective is to collect historical twitter tweet data and process it further for statistical analysis. This analysis is further done to extract a general sentiment of the collective tweet data - which will imply the social media influence on coin market share, which will be used to provide a supportive role in predicting the LTP(last traded price) trend for a specific cryptocurrencyand sectorial coin segments. The trends are classified as bearish, bullish and neutral. This project will only be a supportive indicator for strategies and not a sole buy/sell predictor which will support in portfolio risk management. &nbsp