This article compares the success rate of transactions completed by bots in the past 60 days to average users’ transactions during the same timeframe.
Bots can be used for a variety of tasks such as analyzing market data, finding risks before investing and determining the best time to buy and sell. In addition, crypto trading bots are generally thought to be more efficient than trading cryptocurrency assets manually. A crypto trade bot can handle large volumes of data and draw reasonable conclusions from it. The bots perform better than humans at this. Even if all data has been processed, it is difficult to gain insights from human trading.
Crypto markets tend to be volatile, which results in dramatic price fluctuations even within a matter of minutes. Due to this situation, investors must be very alert if they are to take advantage of market values. However, this may not always be possible. In these cases, the bots assisted traders in gaining a better advantage in trading the crypto market. The advantage of using bots when trading cryptocurrency is that the market is open 24 hours a day, 7 days a week. They can react more quickly than investors. On the other hand, most investors don’t have the time to consistently find the best trades, which robots can do. For example, Arbitrage bots are mainly designed to take advantage of discrepancies in exchange rates.
The bots are sometimes unable to do their work. The aim of this discussion is to find out what are the success rates of bot users and regular users in case of transactions, as well as the percentage of success rate for the past 60 days. Likewise, a failure rate of bots and normal users in terms of transactions and its percentage of failure rate can be seen for the last 60 days.
Below we can see the number of wallets that were held by bots and not bots over the past 60 days. I assumed that any transaction with a single user that exceeds 200 in a day was a bot transaction in this dashboard solution.
Here is the following graph showing the successful transactions by bots and nonbots. As we can see, both of the trends are increasing. There are more success full bot transactions out of all transactions than non bot transactions.
However, if we compare the percentages of successful bot and non-bot transactions for the past 60 days, the success rate of non-bot transactions is higher than the success rate of bot transactions.
From the graph below, you can see how many bot transactions and non bot transactions failed in the past 60 days. Here, we can see that more bot transactions failed than non-bot transactions. We can see that the trend of bot transactions is decreasing, while the trend of non-bot transactions is increasing.
However, if we compare the percentages of failed bot and non-bot transactions for the past 60 days, the failed rate of bot transactions is higher than the failed rate of non bot transactions.
According to the above analysis, there are more successful bot transactions than non-bot transactions. Despite the higher rate of successful bot transactions, the success percentage rate is higher only for non-bot transactions. Therefore, more number of failed transactions are caused by bot transactions.