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The purpose of this study is to create an overview of the current industry practices concerning time series analysis specifically focused on cryptocurrencies. This study attempts to initially introduce the classical time series models slowly diving deeper to survey the field of altcoin price prediction to shed some light on currently available literature. Some of the models discussed below include ARIMA and its variations, LTSM, and other sentiment analysis procedures majorly targeting various alt-coins but as the first cryptocurrency, Bitcoin is observed to be the sole focus of the many studies discussed here. The study largely focuses on Time series data with social media sentiment analysis, the various factors affecting cryptocurrency prices, and finally discusses the prominent findings and results in the industry. This study is conducted with a focus to increase awareness and knowledge of the mentioned topics among fellow researchers and working professionals. [ABSTRACT FROM AUTHOR]