2-四氢糠酸原料下月交易价格预测数据

以2-四氢糠酸原料交易的区块链数字凭证为基础，预测2-四氢糠酸下月交易价格，为企业提供了极其精准的成本预测和采购规划工具。通过高效整合包括产品交易类别、销量（涵盖从日至年的各个时间段）、销售额和销售地区等多维数据，实现数据的全面融通和深度挖掘，预测2-四氢糠酸下月交易价格，为本月的材料生产商、材料进货商提供生产和销售规划。本计算公式中是针对2-四氢糠酸原料进行的，其中：日期=本条数据的生成日期（数据以日为单位，每日生成一条新的数据），市场平均价= 采集的指定日期市场平均价（指定日期即本条数据的日期），平台当月交易平均价=平台当月签订合约的单价总和/平台当月签订的合约数，平台当月交易总量=平台当月签订的所有2-四氢糠酸合约中合约总量，平台当月交易总金额=平台当月签订的所有2-四氢糠酸合约中合约总金额，平台当月交易加权平均价=平台当月交易总金额/平台当月交易总量，预测价格=市场平均价*0.6+平台当月交易平均价*0.15+平台当月交易加权平均价*0.25。

This dataset forecasts the next-month trading price of 2-tetrahydrofurancarboxylic acid based on blockchain digital vouchers for its raw material transactions, providing enterprises with highly accurate cost forecasting and procurement planning tools. By efficiently integrating multi-dimensional data including product transaction categories, sales volume (covering all time spans from daily to annual), sales revenue and sales regions, it achieves comprehensive data integration and in-depth mining to predict the next-month trading price of 2-tetrahydrofurancarboxylic acid, and offers production and sales planning support for material manufacturers and raw material purchasers in the current month. This calculation formula is specifically designed for 2-tetrahydrofurancarboxylic acid raw materials, with the following definitions:
Date = Generation date of this data entry (data is generated on a daily basis, with one new data entry created each day)
Market average price = Collected market average price on the specified date, which is exactly the date of this data entry
Platform monthly transaction average price = Sum of unit prices of all contracts signed on the platform this month / Number of contracts signed on the platform this month
Platform monthly total transaction volume = Total volume of all 2-tetrahydrofurancarboxylic acid contracts signed on the platform this month
Platform monthly total transaction amount = Total amount of all 2-tetrahydrofurancarboxylic acid contracts signed on the platform this month
Platform monthly transaction weighted average price = Platform monthly total transaction amount / Platform monthly total transaction volume
Predicted price = Market average price * 0.6 + Platform monthly transaction average price * 0.15 + Platform monthly transaction weighted average price * 0.25