Global Insider Transaction Quant Data

Smart Insider provides global insider transactions data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

We identify “Smart Insiders” through specialist quantitative feeds that enable our clients to generate alpha.

With thousands of insider trades reported to global regulators every day, it can be difficult to identify notable trades that offer insight into future stock performance. However, our team of expert analysts is adept at using advanced data analysis and quantitative studies to accurately filter and pinpoint material trades with the strongest predictors of future share price performance.

We cover over 68 markets and provide data for over 60,000 listed stocks with 25 years of historic data in a consistent format.

Proprietary indexing and intuitive derived fields make it easy to focus research resources on transactions that matter. We add flags, stock ranks, and insider scores to identify the most meaningful transactions.

We deliver a complete overview to match clients' needs with Point-in-time features. Separate fields are updated to reflect Corporate Action and revisions giving Clients flexibility to analyse data ‘as is’ or ‘Point in time’ as required.

Leverage the potential of insider trading and enhance your investment portfolio with our Global Insider Transaction Quantitative Service.<br/><br/>Table:

- Global Insider Transaction Data

Fields:

- Company
- ISIN
- Market Ticker
- ICB Sector
- Market Cap
- Director
- Executive Status
- Job Title
- Buy & Sell Scores (Analytical Fields)
- Security Description
- Transaction Type
- Announced Data
- Transacted Date
- Amount
- Currency
- Price
- Value USD
- Market Cap %
- Trade Ratings
- Holdings and % Change
- % Shares in Issue
- Country
- Source
- Signals (Proprietary fields)
- Alpha Flags (Proprietary fields)
- Derived Analytical Fields

搜集汇总

背景与挑战

背景概述

该数据集涵盖全球68个市场的6万只上市公司股票内部交易数据，包含25年历史记录，通过量化分析提供交易评分、专有标记和预测指标，帮助用户识别对股价有预测价值的内部交易行为。数据包含公司信息、交易详情、分析师评分等核心字段。