Abstract
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 cryptocurrency and 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.
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