The Global In/Out of the Money (GIOM) classifies addresses based on if they are profiting (in the money), breaking even (at the money) or losing money (out of the money) on their positions at current price. IntoTheBlock calculates an address’ average cost based on the weighted average price at which it bought or received the tokens currently held by the address. IntoTheBlock categorizes addresses and tokens accordingly to obtain an aggregate view of profitability for a particular crypto asset.
The GIOM aggregates all addresses’ positions into clusters based on the number of addresses (or volume) that had previously bought at a certain price range. The larger these clusters, the more support/resistance is expected around these price levels.
The Volatility indicator measures the 30- or 60-day variations in price for a particular crypto-asset. This is calculated as the standard deviation of the period’s daily returns and annualizing the variation. Since crypto markets are 24/7 the annualization formula takes into account 365 days (as opposed to the 252 trading days generally available in stock markets).
The Total Addresses indicator monitors three key metrics:
Total Addresses: All addresses ever created one point have held a particular crypto-asset, including those that still do.
Total with Balance (Holders): All addresses that currently hold this particular crypto-asset.
Total Zero Balance: All the addresses that used to hold a crypto-asset but no longer do.
Put simply Total Addresses = Total with Balance + Total Zero Balance
The IntoTheBlock team has Total with Balance selected as default as it is more indicative of a crypto-asset’s on-chain ‘health’.
As the name suggests, this indicator displays the number of transactions for a particular crypto-asset on a given day. This data is based on what is shown in the blockchain, therefore transactions taken within exchanges are not recorded unless they occur on-chain.
For smart contract protocols such as Ethereum and Ontology, the number of transactions includes transactions that take place in tokens built on top of them. For example, if there are 200 LINK transactions, Ethereum will also record those 200 transactions as ETH is required to transfer ERC-20 tokens on-chain.
The Transactions Volume indicator measures the aggregate volume of transactions recorded on-chain. This version of the indicator tracks the volume in crypto terms (i.e. BTC instead USD). You can use the indicator in USD terms here.
Another version of this indicator, Large Transactions Volume, measures only the volume of transactions over $100,000, which is indicative of whale/institutional activity.
Since blockchains run on a public distributed ledger and all data is of public access. Numerous characteristics regarding addresses can be extracted. IntoTheBlock gathers addresses depending on the time they have held the specific asset. These addresses are divided the following way:
Hodlers – addresses that have held the asset over a period of one year.
Cruisers – addresses with holding periods between one and twelve months.
Traders – the group that have held the asset for less than one month.
In the same way that IntoThBlock classifies the number of addresses by their holding period, this indicator takes it a step further by adding the value that each specific group has represented over time. The indicator shows the value of coins relative to each individual group (Hodlers, Cruisers and Traders) since its historic inception. This helps to keep track of the trading behaviors of each different group.
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 net volume flowing into exchanges. Through the following formula IntoTheBlock calculates Net Flows:
Net Flows = Inflow Volume – Outflow Volume
The Twitter Sentiment indicator uses IntoTheBlock’s proprietary classification machine learning algorithm to infer the connotation of messages discussing a particular crypto-asset and its ticker. These are plotted over time to track market sentiment and the level of activity in relation to a crypto-asset in Twitter.
The Search Trends indicator uses Google’s API to obtain the relative rank of searches performed by Google users globally for a particular crypto-asset. The relative ranks range from 0 to 100, where 0 is the lowest period of search volume and 100 indicates the peak number of searches.