Why is the actual computing power of a fish pond (24-hour average computing power of a fish pond)

Why is the real computing power of a fish pond? Why is the real computing power of a fish pond? Because in the world of blockchain, mining machines are immutable, traceable, and publicly transparent. Therefore, by encrypting the excavated coins, it can be proven that everyone has received the corresponding benefits. But if we assume that the price of a digital currency is almost the same as its actual price, then this value cannot be measured, and only when the Bitcoin equivalent reaches a reasonable level can this number be valued or classified as a real market asset This is the current disadvantage of fish ponds: users need to know their wallet address, the exchange on the trading platform, and whether they will charge a certain handling fee (priced in USDT). This will allow many white players to easily participate in the DeFi on the chain, while ensuring that they do not become the last batch of “leeks”. For these people, the most important thing is to remember what a fish pond really is? The fish pond adopts a dynamic halving model to solve this problem. In theory, a new block is born every four years, and the block rewards will gradually decrease over time; That is to say, there will be a new historical record every two years, so every new data will not be repeated. Of course, it is also possible to add a token casually, such as updating old tokens every day or adding new projects, in order to increase the number of new coins and motivate more old investors to participate and gain new growth space. The algorithm currently used by Fish Pond is a dynamic production reduction model (i.e. the more tokens are issued, the less corresponding new coin supply), which adjusts the total amount of tokens based on the operation of the network until the production is reduced by half Due to different algorithms, competition between different currencies is becoming increasingly fierce, so the fish pond has designed many parameters to limit the difficulty level. In order to lower the threshold and improve efficiency, the fish pond chooses a continuously optimized solution:

The first step is to set the current number of excavated coins to around 10 million per day, and then use the sum of this amount to calculate the latest issued coins, which will continue to be generated within a certain range. The second step is to distribute the currently excavated coins proportionally to all coin holders, with 50% used for air drops. The remaining 20% will be used to repurchase and destroy a portion, and the remaining 30% will be used as community governance funds. The third step is to set a long-term lock-in period, which can effectively control the fluctuation of currency prices. The fourth step is to set a stable period, which can ensure that users no longer hold the currency as they used to, and also ensure their investment returns. The fifth step is to use fixed liquidity funds to purchase new coins and other counterfeit coins, and then sell them to exchange for mainstream tokens to obtain new profits

The average 24-hour computing power of the fish pond

According to data from the Emerging Financial Center of the University of Cambridge, the total network computing power in the past 24 hours was approximately 110.45EH/s. Among them, the height of the fish pond block is 630000, with an average block removal time of about 2 hours and an average of 120.02EH/s in the past 7 days; The number of Ethereum miners’ addresses is 3695, and one transaction is published every 10 minutes, with an average block output speed of about 13 seconds; The number of Bitcoin miners is 29250, and a new on chain transaction record is published every 30 minutes In this sharp decline in the market, the significant fluctuations in ETH’s computing power across the entire network have led to significant fluctuations in the currency price, which was once close to the $1200 mark. As of now, ETH24H is currently quoted at $1250.75, down 11.77% in 24 hours, while LTC24H is currently quoted at $91.35, up 13.91% in 24 hours.