区块链在Web3.0中提供了两大核心能力：
更公平更开放的参与方式，也就是组织形式上的开放性。
资产按合约结算且可靠地无障碍地流通。
Web3.0的几个特点正是靠区块链实现。所以，区块链对Web3.0至关重要。
区块链本质上是一个去中心化的分布式账本数据库。如果创建一个网络，所有银行和用户都在这个网络中，没有一个中心系统去维护里面的账本，那么就会出现，在这个网络中账本里面所有最新内容所有银行和用户都知道的情况。而这个账本就会由这个网络中的所有人维护，用户也可掌握个人数据的使用权和所有权，这也就解决了Web2.0中存在的一些不安全问题，成了Web3.0的一个特点。
A quantitative contract refers to a specific objective or task that can be measured clearly. According to different situations, it is manifested in the number, specific statistics, range measurement, time length, etc. The so-called quantization is to discretize the amplitude of the instantaneous value obtained through sampling, that is, to use a set of specified levels to express the instantaneous sampling value with the closest level value. The sampled image is only spatially dispersed into an array of pixels (samples). The gray value of each sample is a continuous variable with infinite values. It must be converted into a finite number of discrete values and given different codewords to truly become a digital image. This transformation is called quantification.
1.Follow-up and follow-up:Follow-up and follow-up transactions can be made with the report(small slip point)(avoid following the order first,but the guide is withdrawn);
2.Set the documentary quantity,according to the proportion and the maximum quantity.
3.The handling methods of the unsettled documentary include how long to withdraw the order,how much the price deviation is,and re-chasing,canceling or keeping the pending order.
4.When multiple accounts are involved,such as one to one,one to many,many to one,etc.,you have to group the accounts and count the positions by group.
5.It is also a regular function to follow contracts only and exclude contracts only or exclude contracts.
6.Comparison and display of position differences,which is convenient for users to see clearly whether there is any difference in the order at a glance.At the same time,it includes the synchronization function of a single contract.
for i in range(int(time_len)*24):#由于返回的是小时制，所以总数据等于天数*24
time_stamp=coin_data['prices']<i>[0]/1000#返回的是毫秒级时间戳所以除以1000转换成秒级进行处理
time_local=time.localtime(time_stamp)#转换成本地时间
dt=time.strftime("%Y-%m-%d%H:%M:%S",time_local)#进行数据的转换方便观察
coin_time.append(dt)#存入时间队列
coin_price.append(coin_data['prices']<i>[1])#存入价格队列
plt.plot(coin_time,coin_price,linewidth=2)#图标绘制，第一个参数是x轴，第二个参数是y轴本文由系统开发对接威：lovei130908编辑整理发布
plt.title(id+''+time_len+'days table',fontsize=14)
plt.xlabel("time",fontsize=14)
plt.ylabel("usd",fontsize=14)
plt.show()
