Swap Increase on May 11 + 12

The Question :

On May 11th and 12th we saw a spike in number of swaps and volume across the DEXs.

  - Breakdown what happened? 

  - What were users swapping from and to? 

  - Were users swapping from ALGO to stables? Was the average swap size bigger than normal? 

  - Is this tied to the price of ALGO? 

  - Help us understand what took place and why the volume and number swaps increased!

Approach :

looking at the chart below, It is clear that the number of daily swaps had a great jump on May 11 and 12. the Algo price also had a great drop on that dates, so it can be considered as one of the main reasons for this event
most of swaps on that dates happened on Tinyman , while other dexs also had a geat jump in the umber of swaps

Dialy swaps count from Algo to another assets :

the chart below shows the daily number of swaps from algo to another assets , which again had a dramatic increase on May 11 and 12
looking at the swap count growth by destination assets, USDC , STBL , Yieldly ,Opolous and USDT are top assets in demand growth , which 3 of 5 are stablecoins and this is considerable

Which assets had the most outflow :

USDC , STBL , Yieldly ,Opolous and USDT had the most outflow and inflow, which makes them the assets whit most user interaction in terms of swapping

Which assets had the most inflow:

Average swap amount/count from Algo by user / transaction :

looking at the following graphs, all three metrics (avg swap amount per user (FROM ALGO),avg swap amount per transaction(FROM ALGO) and avg swap amount per user (FROM ALGO) ) had experienced a dramatic jump on MAy 11th and 12nd

Findings :

looking at the results, by dropping in the Algo price, the volume and number of swaps and also average swap amount and count per user and per transaction had a great increasing.considering that the most assets in demand in swapping algo and other assets to,we can say that , as the value of Algo has dwindled, users have begun to feel intimidated and have tried to transfer their assets to more robust assets to avoid market fluctuations.

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