2iQ Research Process

When it comes to investor data, nothing is more important than quality and accuracy. For this reason, 2iQ combines an automated data collection process with reviews by analysts to ensure the highest quality data is delivered to our clients.

Bot infrastructure

The first step in our process is to ensure we have captured all possible information related to trading in company shares which might be relevant to our data set. To do this our bots must read all filings regardless of categorisations to ensure nothing is missed. At times significantly relevant data shows up in unexpected places due to errors during the filing process. This ‘wide net capture’ approach ensures we leave no stone unturned in our collection efforts.

Automated filing processing & error detection

Once data is collected it must be screened, cleaned, and organized prior to distribution. We review all data for accuracy leveraging a proprietary rules-based system developed over 15 years of working with this specific data set. This process flags any transactions which require further review by our analyst team. Additionally, this process matches transaction entries to ensure we are identifying appropriately and aligning all activity by company insiders and capturing this into the database. Our systems have been refined to capture filings faster and more efficiently than any other player in the market. Once the data capture step is complete we have to ensure we match entries to make sure we are identifying which companies/transactions/insiders are aligned to understand who was mentioned, what action they took and avoid duplicate transactions in the system. Extracting all relevant information from filings is key – making sure, again, that we don’t miss anything. Our system has been trained to produce the data according to our 100k+ rules-based system which has been created over 15 years of working with this specific data set to ensure our automation is sound and files things appropriately. Hundreds of integrity checks run which flags things which require further research, which is where our analysts come in.

Manual Research

Our analysts are either university graduates, CFA charter holders, or both, and are trained in the specific nuances of insider transaction data.
Once a data point is flagged, an analyst will review the specific transaction or data point which has been flagged to review the automated process and resolve any errors in processing.
This process includes hierarchical positions – a process which ensures alignment of management roles. Assign manually hierarchical positions based on a standardized proprietary international schema. Research entities – establishing who is making each transaction by checking the ownership of entities. Check news flow and footnotes – where relevant information can be hidden.

Extensive Experience

With over 15 years experience 2iQ’s deep knowledge and work with some of the best investing minds has lead to the creation of the most compelling combination of insider transactions data and analysis in the industry.

Global Coverage and Deep History

The most complete insider transactions historical data set in the industry. Our database contains 8.1M transactions from over 200,000 insiders across a universe of over 60,000 stocks in 50 countries with an average history across all regions of 12 years.

2iQ Insider Transactions Data

The most complete insider transactions historical data set in the industry, available via API, real-time, or end of day feed.

• 8.1 million transactions by over 200,000 insiders traceable with a unique insider ID
• Over 60,000 stocks across 50 countries with 12 years average history across regions
• Symbology: Bloomberg Open Symbology, Thomson Reuters PermID / RIC, and various other ticker symbols
• Customizable data feed formats
• Full historical extract available for back testing
• Event tagging (M&A, private placements, etc.)
• Uniform data representation across time and regions
• Harmonisation of insider roles
• Standardized hierarchical positions
• Filing-amendment updates
• Related parties identification