> For the complete documentation index, see [llms.txt](https://cetus-1.gitbook.io/cetus-developer-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cetus-1.gitbook.io/cetus-developer-docs/developer/via-sdk-v2/sdk-modules/cetusprotocol-dlmm-sdk/price-bin-id-and-sqrt-price.md). # Price, Bin ID and Sqrt Price The SDK provides comprehensive utility functions for working with bins and prices through the `BinUtils` class: ```typescript import { BinUtils } from '@cetusprotocol/dlmm-sdk' // Convert price to bin ID const binId = BinUtils.getBinIdFromPrice( '1040.07', // price 2, // bin step true, // is base coin A 6, // decimals for coin A 9 // decimals for coin B ) // Convert bin ID to price const price = BinUtils.getPriceFromBinId( -4787, // bin ID 2, // bin step 6, // decimals for coin A 9 // decimals for coin B ) // Get Q price from bin ID const q_price = BinUtils.getQPriceFromId( -4400, // bin ID 100 // bin step ) // Get price per lamport from Q price const price_per_lamport = BinUtils.getPricePerLamportFromQPrice(q_price) // Get liquidity from amounts const liquidity = BinUtils.getLiquidity('0', '266666', '18431994054197767090') // Get amount A from liquidity const amountA = BinUtils.getAmountAFromLiquidity('4101094304427826916657468', '18461505896777422276') // Get amount B from liquidity const amountB = BinUtils.getAmountBFromLiquidity('4919119455159831291232256') // Split bin liquidity info const split_bin_infos = BinUtils.splitBinLiquidityInfo(bin_infos, 0, 70) // Get position count between bin ranges const positionCount = BinUtils.getPositionCount(-750, 845) // Find min/max bin ID for a given bin step const { minBinId, maxBinId } = BinUtils.findMinMaxBinId(10) ``` These utility functions are particularly useful when: * Setting up price ranges for liquidity positions * Calculating optimal bin ranges for trading strategies * Converting between different price representations * Managing liquidity distributions across bins * Analyzing position density and distribution ####