Ethereum Historical Onchain Data
Onchain Data for Bitcoin with using IntotheBlock
@kaggle.aski1140_intotheblock_ethereum_onchain_data
Onchain Data for Bitcoin with using IntotheBlock
@kaggle.aski1140_intotheblock_ethereum_onchain_data
This dataset include some onchain indicator information at daily basis for Ethereum. This informations:
Inflow Volume
IntoTheBlock has built a proprietary machine learning powered classifier to identify addresses of top centralized exchanges, including their deposit addresses, withdrawal addresses, hot wallets and cold wallets. With this classifier, IntoTheBlock can measure the total amount of a given crypto-asset flowing into exchanges and measures this in dollar and crypto terms. The result is the Inflow Volume indicator.
Outlow Volume
While Inflow Volume at times anticipate volatility, Outflow Volume is often more reactive. In other words, Outflow Volume often spikes following either a crash or a significant break-out as shown in the example above. This could potentially be interpreted as users going long and opting to hold their crypto outside centralized exchanges.
Total Flows
IntoTheBlock uses machine learning algorithms to identify centralized exchanges’ deposit and withdrawal addresses. Through this process, IntoTheBlock measures the total activity flowing in and out of centralized exchanges. The result is the Total Flows indicator which is measured the following way
Total Flows = Inflow Volume + Outlow Volume
Net Flows
The Net Flows indicator highlights trends of traders sending money in and out of exchanges. Recall that Net Flows are positive when more funds are entering than leaving exchanges. Therefore, we observe that positive Net Flows tend to coincide with periods following large increases in price (like LINK when it tripled between April and July) or confirmation of down-trends (as seen with LINK in late August).
Conversely, Net Flows are negative when a greater volume is being withdrawn from exchanges. This could be seen as a sign of accumulation (LINK in early August) or addresses buying back following large declines (LINK in early September).
While Net Flows also affect large cap crypto-assets, smaller cap tokens are more susceptible to large changes in prices deriving from exchange flows. This is simply a result of smaller caps requiring less capital in order to make market-moving trades. This is worth considering when using the Net Flows indicator to trade.
Net Flows = Inflow Volume - Outflow Volume
Outflow Transaction Count
The Outflow Transaction Count indicator provides indication of users withdrawing their funds from centralized exchanges likely to store in safer cold wallets. This is a valuable approximation of users going long and opting to hold their own funds. For this reason, outflows tend to spike as price crashes as pointed in the example above. While this can be the case on several occasions, natural fluctuations in exchanges’ flows can often have smaller spikes without regards to price action as well.
Inflow Transaction Count
As the name suggests, the Inflow Transaction Count indicator provides the number of incoming crypto transactions entering exchanges. While the Inflow Volume measures the aggregate dollar amount, which is influenced by whales’ transactions, the Inflow Transaction Count is a better approximation of the number of users sending funds into exchanges.
This indicator has also shown to rise along and anticipate periods of high volatility. For example, on September 1st, inflow transactions for Bitcoin hit a 3-month high preceding a decrease in price of 14% over the following 48 hours. While this pattern does tend to emerge, natural fluctuations in inflow transactions can also increase at times.
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