New findings: Chain data + in-field transaction data = main entry and exit points

And then share the main methods used before. Recent studies have found that data on large-scale chain turnover is highly correlated with data on large-scale market-selling. It is observed that the main force is needed to be vigilant when there is a large flow of turnover to the exchange. When there is more than 10% of the volume of turnover, the market price of a single transaction is sold, the probability of opening a downtrend is high. After the decline starts, you can look at the number of main transactions. When the number of transactions is far from reaching the number of transfers, the probability of continuing to fall; The empty list continues to be held. When the number of main trades is close to the number of transfers, the probability stops falling, at which point a rollover is completed. This time it's empty.

Previous cases:

On January 21, 2021, at 05:32 am, four consecutive transactions with a total of 3000 BTC were transferred to Coinbase.

Since the transfer to 11:16 on the same day, it has fallen to more than $ 3000, but the main data shows that Coinbase BTC/USD has a total of 251 transactions, with a total of 2581 BTC in the market price of the orders sold, the number of orders still varies from the number of transfers, the decline or will continue.However, after a brief rebound, BTC fell another $1,200. At this point, the main transaction data is basically consistent with the data on the large chain, and the decline will stop until there is no new main movement. The price of BTC rebounded slightly for 8 hours before the new large transfer occurred. Large data on the chain combined with large market price transaction data can be used to find the main entry-exit point for recent verification of higher winning rates.

Big Chain data can be accessed by following sharks on Twitter

For the main data, select the main bulk tracking indicator.