bitunix

Exchange-to-Exchange Transfer Count

रेंज
  • 1M1M
  • 3M3M
  • 6M6M
  • 1Y1Y
  • ALLALL
स्केल
  • लीनियरलीनियर
  • लॉगरिदमिकलॉगरिदमिक
नवीनतम
4.25K
2026-10-28 · 4,253
1D बदलाव
+5.14%
पिछला 4.04K
7D बदलाव
-6.14%
पिछला 4.53K
30D बदलाव
-38.96%
पिछला 6.97K
4Y पर्सेंटाइल
19%
पूरा इतिहास 42%
ऑल-टाइम हाई
41.17K
2018-01-04 · -89.67%
1Y दायरा
2.83K – 10.58K
कब से 2012-02-18
डेटा लोड हो रहा है…

इस मीट्रिक के बारे में

यह क्या मापता है

Exchange-to-Exchange Transfer Count counts daily on-chain BTC transfers from one identified exchange to another, in transfers. It measures how often coins move between venues rather than how many BTC move or how many trades are executed.

इसे कैसे पढ़ें

A higher count indicates more frequent movements between exchanges, potentially linked to liquidity redistribution, arbitrage or collateral management. The recorded high was 41,175 transfers on January 4, 2018; the highest daily count in 2024 was 12,863, so recent activity need not approach earlier peaks even when price is elevated.

Transfers between venues do not by themselves add coins to the combined exchange sector. Address attribution, batching and operational changes affect the count, and it reveals neither the motive for a transfer nor whether a trade followed. Compare it with the corresponding BTC volume.

आवृत्ति
दैनिक (UTC 00:00)
एसेट
BTC
प्रकार
एकल मान
डेटा कब से
2012-02-18
नवीनतम डेटा
2026-10-28
डेटा पॉइंट
5,367

अक्सर पूछे जाने वाले प्रश्न

How does this differ from internal exchange transfers?

This series concerns movement between different identified exchanges. Wallet movements within the same exchange describe internal operations instead of a change of venue.

Do exchange-to-exchange transfers increase total exchange reserves?

If both sides are identified, coins leave one exchange and enter another, leaving the combined balance broadly unchanged. Individual exchanges' balances can still change.

Can transfer count rise while BTC volume falls?

Yes. More transfers of smaller amounts can raise the count while lowering total BTC moved. Reading count and volume together helps distinguish frequency from size.