Cryptocurrency Closing Price Prediction

Can you predict the closing price for a cryptocurrency?
This is a comprehensive dataset that captures the prices of a cryptocurrency along with the various features including social media attributes, trading attributes and time related attributes that were noted on an hourly basis during several months and that contribute directly or indirectly to the cryptocurrency volatile prices change.
A starter notebook is provided to help you make your first submission and land on the leaderboard.
Variable definitions
asset_id: An asset ID. We refer to all supported cryptocurrencies as assets
open: Open price for the time period
close: Close price for the time period
high: Highest price of the time period
low: Lowest price of the time period
volume: Number of tweets
market_cap: Total available supply multiplied by the current price in USD
url_shares: Every time an identified relevant URL is shared within relevant social posts that contain relevant terms
unique_url_shares: Number of unique url shares posted and collected on social media
reddit_posts: Number of latest Reddit posts for supported coins
reddit_posts_score: Reddit Karma score on individual posts
reddit_comments: Comments on Reddit that contain relevant terms
Reddit_comments_score: Reddit Karma score on comments
tweets: Number of crypto-specific tweets based on tuned search and filtering criteria
tweet_spam: Number of tweets classified as spam
tweet_followers: Number of followers on selected tweets
tweet_quotes: Number of quotes on selected tweets
tweet_retweets: Number of retweets of selected tweets
tweet_replies: Number of replies on selected tweets
tweet_favorites: Number of likes on an individual social post that contains a relevant term
tweet_sentiment1: Number of tweets which has a sentiment of “very bullish”
tweet_sentiment2: Number of tweets which has a sentiment of “bullish”
tweet_sentiment3: Number of tweets which has a sentiment of “neutral”
tweet_sentiment4: Number of tweets which has a sentiment of “bearish”
tweet_sentiment5: Number of tweets which has a sentiment of “very bearish”
tweet_sentiment_impact1: “Very bearish” sentiment impact
tweet_sentiment_impact2: “Bearish” sentiment impact
tweet_sentiment_impact3: “Neutral” sentiment impact
tweet_sentiment_impact4: “Bullish” sentiment impact
tweet_sentiment_impact5: “Very bullish” sentiment impact
social_score: Sum of followers, retweets, likes, reddit karma etc of social posts collected
average_sentiment: The average score of sentiments, an indicator of the general sentiment being spread about a coin
news: Number of news articles for supported coins
price_score: A score we derive from a moving average that gives the coin some indication of an upward or downward based solely on the market value
social_impact_score: A score of the volume/interaction/impact of social to give a sense of the size of the market or awareness of the coin
correlation_rank: The algorithm that determines the correlation of our social data to the coin price/volume
galaxy_score: An indicator of how well a coin is doing
volatility: Volatility indicator
market_cap_rank: The rank based on the total available supply multiplied by the current price in USD
percent_change_24h_rank: The rank based on the percent change in price since 24 hours ago
volume_24h_rank: The rank based on volume in the last 24 hours
social_volume_24h_rank: The rank based on the number of social posts that contain relevant terms in the last 24 hours
social_score_24h_rank: The rank based on the sum of followers, retweets, likes, reddit karma etc of social posts collected in the last 24 hours
medium: Number of Medium articles for supported coins
youtube: Number of videos with description that contains relevant terms
social_volume: Number of social posts that contain relevant terms
price_btc: Exchange rate with another coin
market_cap_global: Total available supply multiplied by the current price in USD
percent_change_24h: Percent change in price since 24 hours ago