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BMLL Level 2 Quotes

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Snowflake2026-04-07 更新2026-04-08 收录
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https://app.snowflake.com/marketplace/listing/GZTSZ2JD7IRXY
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资源简介:
The BMLL Level 2 quotes dataset provides a tick-by-tick view into the depth of the market, offering the aggregated volume of buy and sell orders at up to 10 price levels. **The Challenge: Limited Visibility with Top-of-Book Data** Evaluating a stock's true liquidity and potential support and resistance zones is difficult when relying solely on Level 1 (Best Bid & Offer) data. **The Solution: Deep Market-by-Price Insights** This Market-by-Price dataset delivers deep insight into the supply and demand dynamics for an instrument, enabling market participants to make more informed trading decisions. **Key Features & Capabilities:** - **Granular Depth:** 10 levels of market depth, aggregated by price, including bid and ask prices, sizes, and number of orders. - **High Precision:** Available tick-by-tick with timestamps at or exceeding venue matching engine precision (nanosecond or microsecond). - **Contextual Fidelity:** Includes BMLL Market State (14 distinct values) alongside original exchange descriptions to ensure maximum fidelity. **Core Benefits:** - **Buy-Side:** Accelerate research, backtesting, and transaction cost analysis (TCA) using the highest quality consolidated data feed. - **Sell-Side:** Backtest execution algos, enhance smart order routers, and demonstrate better execution to clients using historical depth. - **Exchanges:** Contextualise the trading venue landscape at depth. **Data / Documentation Specifications:** - **Factsheet:**[ Level 2 Quotes Factsheet](https://www.bmlltech.com/files/documents/LEVEL-2-FACT-SHEET.pdf) - **Documentation:**[ Level 2 Quotes Documentation](https://www.bmlltech.com/files/documents/BMLL-L2-Quotes.pdf) / [Level 2 Quotes Futures Documentation](https://www.bmlltech.com/files/documents/BMLL-L2-Quotes-Futures.docx.pdf)   - **Coverage:** [Data Coverage](https://www.bmlltech.com/market-data-coverage)
提供机构:
BMLL Technologies
创建时间:
2026-02-19
原始信息汇总

BMLL Level 2 Quotes 数据集概述

数据集基本信息

  • 数据集名称: BMLL Level 2 Quotes
  • 提供商: BMLL Technologies
  • 获取方式: 免费试用 (Trial: 30 day trial)
  • 数据刷新频率: 每日 (Daily)
  • 时间覆盖范围: 2013年1月1日之后 (After January 1, 2013)
  • 地理覆盖范围: 全球 (Global)
  • 云区域可用性:
    • AWS: EU (Ireland), US East (N. Virginia)

数据集描述

该数据集提供逐笔的市场深度视图,提供多达10个价格水平的买卖订单聚合量。它旨在解决仅依赖Level 1(最佳买卖报价)数据时,评估股票真实流动性及潜在支撑和阻力区域的困难。该市场按价格数据集提供了对工具供需动态的深入洞察,使市场参与者能够做出更明智的交易决策。

核心特性与能力

  • 粒度深度: 10个级别的市场深度,按价格聚合,包括买卖价格、规模和订单数量。
  • 高精度: 提供逐笔数据,时间戳精度达到或超过交易所匹配引擎精度(纳秒或微秒)。
  • 上下文保真度: 包含BMLL市场状态(14个不同的值)以及原始交易所描述,以确保最大保真度。

核心效益

  • 买方: 使用最高质量的整合数据源,加速研究、回测和交易成本分析。
  • 卖方: 回测执行算法,增强智能订单路由器,并使用历史深度向客户展示更好的执行效果。
  • 交易所: 深入了解交易场所的格局。

业务需求

  • 市场分析: 在更深层次上理解交易格局。
  • 定价分析: 利用订单簿的十个层级来增强交易成本分析,分析交易执行情况。
  • 定量分析: 通过分析十个层级的流动性,优化执行算法回测和智能订单路由器。

数据/文档规范

  • 概况说明书: Level 2 Quotes Factsheet
  • 文档: Level 2 Quotes Documentation / Level 2 Quotes Futures Documentation
  • 覆盖范围: Data Coverage

数据字典与预览

  • 主要表格: L2_QUOTES_EMEA, REFERENCE_EMEA (+ 4 objects)
  • 数据预览显示列数: 80列中显示50列
  • 示例列:
    • TICKER (Varchar)
    • ISO_EXCHANGE_CODE (Varchar)
    • TRADE_DATE (Date)
    • EVENT_TIMESTAMP (Timestamp_NTZ)
    • LOCAL_TIMESTAMP (Timestamp_NTZ)
    • TIMESTAMP_NANOSECONDS (Number)
    • TZ_OFFSET (Number)
    • BID_PRICE1 (Float)
    • BID_QUANTITY1 (Number)
    • BID_NUM_ORDERS1 (Number)
    • ASK_PRICE1 (Float)
    • ASK_QUANTITY1 (Number)
    • ASK_NUM_ORDERS1 (Number)
    • ... (结构延续至BID_PRICE8等)

使用示例

  1. 选择样本数据集: SELECT * FROM L2_QUOTES_EMEA LIMIT 1;

  2. 选择样本参考数据集: SELECT * FROM REFERENCE_EMEA WHERE TICKER = VOD;

  3. 检索给定代码的下采样Level 1统计数据: sql SELECT DATE_TRUNC(SECOND,EVENT_TIMESTAMP) AS TS, AVG(BID_PRICE1), AVG(ASK_PRICE1), MIN(BID_PRICE1), MIN(ASK_PRICE1), MAX(BID_PRICE1), MAX(ASK_PRICE1) FROM L2_QUOTES_EMEA WHERE(EXCHANGE_TICKER =VOD AND TRADE_DATE = 2025-09-10) GROUP BY TS ORDER BY TS;

  4. 检索给定交易场所上各代码Level 1买卖数量之间的不平衡: sql SELECT EXCHANGE_TICKER, AVG(BID_QUANTITY1) AS AVG_BID_QUANTITY1, AVG(ASK_QUANTITY1) AS AVG_ASK_QUANTITY1, (AVG(BID_QUANTITY1) + AVG(ASK_QUANTITY1)) AS TOTAL_QUANTITY, (AVG(BID_QUANTITY1) - AVG(ASK_QUANTITY1)) / (AVG(BID_QUANTITY1) + AVG(ASK_QUANTITY1)) AS L1_IMBALANCE FROM L2_QUOTES_EMEA WHERE (MIC =XLON AND TRADE_DATE= 2025-09-10 AND ASK_PRICE1 > BID_PRICE1) GROUP BY EXCHANGE_TICKER ORDER BY TOTAL_QUANTITY DESC;

法律条款与联系信息

  • 法律条款: Custom
  • 销售联系: info@bmlltech.com
  • 支持联系: support@bmlltech.com
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