C15H30N2原料下月交易价格预测数据

以C15H30N2原料交易的区块链数字凭证为基础，预测C15H30N2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C15H30N2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C15H30N2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C15H30N2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C15H30N2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。

Based on blockchain digital vouchers for C15H30N2 raw material transactions, this dataset predicts the next month's trading price of C15H30N2, 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 enables comprehensive data integration and in-depth mining, thereby accurately predicting the next month's trading price of C15H30N2 and offering production and sales planning support for material manufacturers and purchasers in the current month. This calculation formula is specifically designed for C15H30N2 raw materials, with the following definitions:
1. Date: The generation date of this data entry, where data is generated on a daily basis with one new entry created each day;
2. Market average price: The collected market average price on the specified date, which is the date of this data entry;
3. Monthly platform transaction average price: Total unit price of contracts signed on the platform in the current month divided by the number of contracts signed on the platform in the current month;
4. Monthly platform transaction total volume: Total contract volume of all C15H30N2 contracts signed on the platform in the current month;
5. Monthly platform transaction total amount: Total contract amount of all C15H30N2 contracts signed on the platform in the current month;
6. Monthly platform transaction weighted average price: Monthly platform transaction total amount divided by the monthly platform transaction total volume;
7. Predicted price: Market average price * 0.6 + Monthly platform transaction average price * 0.15 + Monthly platform transaction weighted average price * 0.25.

搜集汇总

数据集介绍

特点

该数据集为C15H30N2原料的下月交易价格预测数据，包含1549条每日更新的记录，涵盖市场及平台交易的多维度指标，通过特定算法预测价格，服务于制造业企业的成本预测和采购规划。数据已通过区块链存证，具有明确的行业应用价值。