Mysteries of cryptocurrency exchanges
Cryptocurrency exchanges are often accused of overstating trading volume to look more attractive.
THE SILICOIN collects historical trading data for over 7,000 pairs on 40+ exchanges. We found many trading pairs with weird trading volume patterns — we present our findings below.
In this article we are not making any statements. We just show trading volume charts with patterns that we struggle to explain.
We hope that data provided below will provoke additional research in the field. We are happy to provide data for independent research — please contact us in Twitter or by email.
1. Bibox
1.1 Litecoin to Tether (LTC/USDT)
Volume spiked on September 30 and suddenly fell on December 23.
2. RightBTC
Trading on this pair fell almost to 0 on November 30 and then recovered on December 13.
At the same time trading volume on EOS/ETH pair did not increase to reflect fall in EOS/BTC volume (see volume chart for EOS/ETH pair here).
2.2. Metaverse ETP to Bitcoin (ETP/BTC)
Trading volume spiked on December 24 and fell on December 30.
2.3. Other pairs with weird volume dynamics on RightBTC
3. ZB.com
3.1. Stellar to Tether (XLM/USDT)
Trading volume fluctuated around low to mid thousands level for a long time. On December 6 trading volume spiked.
3.2. Other pairs with weird volume dynamics on ZB
4. EXX
4.1. Bitcoin to Tether (BTC/USDT)
Trading volume fluctuated around low to mid thousands level for a long time. On December 16 trading volume started climbing up to reach $366 million.
4.2. Other pairs with weird volume dynamics on EXX
5. Bit-Z
Trading volume increased suddenly on November 14 after a long period of fluctuating around low thousands USD per day.
5.2. Other pairs with weird volume dynamics on Bit-Z
6. BitMart
6.1. Bitcoin to Tether (BTC/USD)
On October 24 trading volume fell almost to 0 while it was around $50–80 million around this date.
6.2. Other pairs with weird volume dynamics on BitMart
7. Bitbank
7.1. Bitcoin Cash to Japanese Yen (BCH/JPY)
Trading volume exhibits 2 similar looking spikes.
Conclusion
To us many trading volume patterns shown above look as if trading was switched on or switched off at some point in time.
Obviously there are many more pairs that deserve a close look.
We hope there is a logical explanation for all these patterns — please let us know in the comments if you can add clarity.
Transparently yours,
THE SILICOIN team