Generating sampling proof: using the Merkle root as a random source, we sample the data. To avoid leaking computation trace data, we avoid the data with an index of *k ** extension_factor during sampling and generate the Merkle proof path corresponding to the sampling index. We do the sampling inspections to check whether the polynomial committed is a valid polynomial satisfying the constraints listed in number 1.

Sample Case (BTC/USDT) A user wants to buy BTC while the price is lower than 35,000 USDT, and he'd like to buy it with Iceberg bot. Interface of Iceberg trading botHow to set the Iceberg strategy? Set the Amount per order as 0.1 BTC Setting the Number of visible order as 5 Set the Order amount as 5 BTC In Advance settings, set the preference as Price-speed balance Setting the Limit price at 35,000 USDT Set the Start condition as InstantWhat happens after I configure and start the Iceberg bot?

In the sample, it transfers 10 ETH to the position. Cross account balance will be 15 ETH - 10 ETH = 5 ETH, Isolated marigin trading position asset will be 10 ETH. Buy 10 ETH at 1,409.98 and use ETH as margin. The ETH order is filled with a fee of -0.01 ETH.