What is on-chain data?
On-chain data shows activities via transactions recorded on blockchain networks
On-chain data comes from a public ledger system that allows people to look into all transactions that are recorded on to it. Utilizing this transparency, various raw data containing information such as coins sent amount and time, wallet address, and fees that are being paid to a miner which show the details of the activities via transaction can be extracted from on-chain data. There is little room for hiding in the on-chain process and being "on-chained" lets you be the watcher of the bitcoin network.
Upon this raw information, if we put our resources into analyzing them, the on-chain analysis can be a new framework for bitcoin valuation which allows traders to establish an edge. With on-chain analysis, traders can see what happens in the networks that finally results in price movement. For example, exchange flows data gives us an insight into actual major players' money flow in the networks. CryptoQuant aims to provide full historical on-chain and market data which allows you to build an in-depth understanding of the markets, therefore, leading you to make robust trading strategies.
Only CryptoQuant's on-chain data predicted the Black-swan situation. (Chart Link: cryptoquant.com/overview/btc-exchange-flows/104)
It is true that blockchain data is public for everyone to see but it is hard to interpret them. Everyone says that blockchain activities are opened and decentralized but what good is there if we lack the ability to see them? It is not easy for all people to know what to look for at single transaction data.
That's where CryptoQuant comes into play. CryptoQuant firstly collects all the data that comes from the transactions happening on the blockchain. When data gathering is done, defining them adds the additional meaning. For example, CryptoQuant differentiates data that is only involved with exchanges' wallets and extracts second handed information such as the total amount deposited in the exchange or how much has flown into exchanges in a given time. This second handed information makes a huge impact on trading by providing investors a valuable insight.
CryptoQuant Academy provides rich explanations of meaningful indicators and exclusive metrics in the following pages including interpretation, calculation method, and use cases. On-chain data is still in the early stage for an investment of cryptocurrencies. Our team hopes you join the world of on-chain data for proactive movement with unique indicators which in turn make chances for being profitable in cryptocurrency markets.
Bitcoin/
├── Status/ // status of Bitcoin entity
├── Exchange-Flows/ // on-chain statistics of exchanges
├── Flow-Indicator/ // mpi, whale ratio and other flow indicators
├── Market-Indicator/ // stablecoin supply ratio and other market indicators
├── Network-Indicator/ // nvt, nvt-golden-cross and other network indicators
├── Miner-Flows/ // on-chain statistics of miners
├── Inter-Entity-Flows/ // on-chain statistics of flows between entities
├── Fund-Data/ // fund related data
├── Market-Data/ // price, capitalization
└── Network-Data/ // general statistics of Bitcoin network
Ethereum/
├── Status/ // status of Ethereum entity
├── Exchange-Flows/ // on-chain statistics of exchanges
├── ETH2.0/ // Ethereum 2.0 statistics
├── Fund-Data/ // fund related data
└── Market-Data/ // price, capitalization, market indicators
Stablecoin/
├── Status/ // status of stablecoin entity
├── Exchange-Flow/ // on-chain statistics of exchanges
├── Market-Data/ // price, capitalization, market indicators
└── Network-Data/ // USDT, PAXOS, USDC, DAI, TUSD, SAI
ERC20/
├── Status/ // status of erc20 entity
├── Exchange-Flow/ // on-chain statistics of exchanges
└── Market-Data/ // price
Not all indicators or metrics are currently covered in CQ Dataguide. Our research team is working on the others to provide meaningful analysis. If you have ones to be analyzed, please submit an idea form at Suggest Idea.
Last modified 1yr ago