Platts Market Data - Oil Fundamentals
收藏Snowflake2024-06-25 更新2024-06-29 收录
下载链接:
https://app.snowflake.com/marketplace/listing/GZTSZ1389RC
下载链接
链接失效反馈官方服务:
资源简介:
The Platts Market Data - Oil Fundamentals dataset provides fundamental data needed to understand the future and reduce risk when making important trading decisions or valuing positions.
Following clearly defined guidelines and specifications, we publish highly sought-after fundamentals. With baseload data, you can monitor growing trading volumes, construct new oil supply and demand models, supplement or complement existing data sets and models to make confident trading decisions, keep track of inventory and support your trading decisions.
This dataset includes:
- ARA stocks: Weekly oil stock stats for ARA regions. This includes statistics for Fuel oil, Gasoil, Gasoline, Jet Kero, Light-Ends, Naphtha, Residuals, and Middle Distillates
- Baker Hughes: Global rig count by region/country on monthly basis along with rig count for U.S. on weekly basis. It includes data on oil and oil and gas.
- EIA Weekly Petroleum: Weekly Petroleum statistics for stocks provided by the Energy Information Administration (EIA) along with stocks for individual PADD regions
<p><br/></p>
Sample Tables:<br/>A ) PRICEDATA<br/>B ) REF_DATA_MARKETDATA
Sample Fields:<br/>A ) PRICEDATA
- SYMBOL
- MDC
- DESCRIPTION
- BATE
- ASSESSDATE
- UOM
- CURRENCY
<p><br/></p>
B ) REF_DATA_MARKETDATA
- COMMODITY
- DELIVERY_REGION
- DESCRIPTIONView
<p><br/></p>
View Descriptions:
- PRICEDATA - Get the latest and historical assessments by Symbol
- CORRECTIONS - Get all corrections to the assessments by Symbol
- REF_DATA_MARKETDATA - Get additional reference data for Symbols
- MARKETDATA_DICTIONARY - Contains descriptions and examples of each of the columns in the above views for a better understanding of the dataset
提供机构:
S&P Global Energy
创建时间:
2024-04-22
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集提供石油市场基本面数据,包含ARA地区周度库存统计、全球/美国钻机数量及EIA石油周报等核心指标,支持交易决策和供需分析。数据集涵盖价格数据和市场参考数据等结构化信息,可通过符号(Symbol)查询历史评估值和修正记录。
以上内容由遇见数据集搜集并总结生成



