The goal of this project is to scrap historical bitcoin prices data and merge it with more features to predict the transaction confirmation time using linear regression.
Bitcoin is an open source cryptocurreny that was invented in 2008. Transactions of bitcoins are verified by network nodes through cryptography and recorded in a public distributed ledger called a blockchain.
The transaction confirmation time varies for each transaction, so predicting the confirmation time would be a great idea.
Feature scrapped from stocks website "https://coinmarketcap.com/currencies/bitcoin/historical-data/" :
Feature | Description |
---|---|
Date | Date of the Day. |
Open_Price | Price at 12:00 AM of that day. |
Highest_Price | Highest price during the day. |
Lowest_Price | Lowest price during the day. |
Close_Price | Price at 11:59 AM of that day. |
Volume | Volume is counted as the total number of shares that are actually traded (bought and sold) during the trading day.* |
Market_Cap | the total value of all a company's shares of stock.* |
Feature downladed as csv files from "https://data.nasdaq.com/data/BCHAIN" :
Feature | Description |
---|---|
Daily_Transactions | Daily Bitcoin Transactions.* |
Miners_Revenue | Total miners revenue in that day.* |
Difficulty | A relative measure of how difficult it is to find a new block. The difficulty is adjusted periodically as a function of how much hashing power has been deployed by the network of miners.* |
Cost_Per_Transaction | Miners revenue divided by the number of transactions.* |
Average_Block_Size | The average block size in MB.* |
Total_Bitcoins | The total number of bitcoins that have already been mined; in other words, the current supply of bitcoins on the network* |
Average_Transaction_Confirmation_time | The median time for a transaction to be accepted into a mined block and added to the public ledger (note: only includes transactions with miner fees).* |