Signals Service

Identify the trades that count

Our Signals service is at the core of
what we do. As a specialist research provider, we monitor the high-quality transaction data produced by our analysts, based in three different time zones, in search of significant trade characteristics.

With around 3,000 transactions reported each day, most are non-discretionary and very few are likely to provide a meaningful indication of future share price movements. Those that do are hard to find but not uncommon.

We apply quantitative and qualitative methods in order to identify the most significant transactions. Our research team provides insights and commentary on trades that are most predictive of future share price performance.

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experienced research team

Experience, supported by rigorous historic data interrogation, gives us the know-how to identify the trades that count.

We begin by filtering transactions that do not meet our tried and tested criteria; this yields a shortlist of trades that do not conform to regular patterns.

We study whether these trades align with convictions made by insiders and try to ascertain whether they possess insight into the future share price of the stock they are trading.

Experienced Research Team. We are Global.

Specific factors in insider trading analysis.

Factors we consider

We consider multiple factors within this process including but not limited to:

The proceeds and holding change that the trade accounts for
Key trade features, such as the proximity to a close period or trading embargo, and share price highs and lows
The overall means of the insider, their position and tenure at the firm of which they are buying and or selling shares
The trading record of the insider, sometimes including their trading performance related to other stocks
Trading patterns of other directors at the same firm

TIMELY alerts

When it comes to data, we are more concerned with quality rather than quantity.

By customising delivery, in such a way as to suit the preferences and needs of the user, we can ensure that the frequency of alerts received provides our clients the most pertinent of facts related to their investment process.

Desktop alerts draw attention to key trades and give users the ability to look behind the headline content with comprehensive filtering and display tools.

Set up alerts not to miss important transactions. Smart Insider — Timely alerts flag important transactions.

Custom reports and assistance

Since the needs of our clients vary, we can adjust the method, timing, and frequency of our data delivery process as well as define the stock universe which matters most to them.

Our Client Support team is always ready to assist clients queries and concerns, as well as with customising reports at their request.

Our Clientele

Analysts and Fund Managers seeking to incorporate perspectives derived from Insider insights and signals into their investment process
Buyside and Sellside analysts looking for market sentiment data
Quants looking to enhance systematic strategies with alternative data sources
ESG specialists seeking aspects of corporate governance

People

Head of Research
Quantitative Analyst
Quantitative Research Analyst
Quantitative Strategist
Senior Analyst

Institutions

Hedge Funds
Family Offices
Institutional Portfolio Managers
Institutional Investors
Assets Managers

Please do not hesitate to contact us

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Getting started

Step 1: Talk to Our Experts

Our Sales team can discuss your investment approach with you and advise on how you might incorporate insider data to improve your investment performance.

Step 2: Trial

You may customise portfolios as a way of testing ideas, or create custom lists using the relevant filters and settings. Our professional Support team are available to assist you with any queries or concerns.

Step 3: Terms

Gain a comprehensive understanding of the subscription costs associated with our services based on the regions in which you invest, and licence terms required.

Step 4: Delivery

Adjust or customise your portfolios and filters to receive intra-day Signal updates according to the terms agreed.

FAQ’s

Why should we trust your data?

Our proprietary method of analysing and reporting data means that experienced analysts read and classify transactions, accurately recording the true nature of a reported trade in a consistent manner.
Our software minimises that risk through a series of checks and verifications.
Complex announcements are escalated for a second opinion. Survivor bias is eliminated, historic data includes defunct companies, we never delete transactions.

Why should I trust your data?

Does your data contain subjective opinions?

Whilst our product incorporates data from multiple sources using proprietary data classifications and analysis fields, our pure quant delivery remains factual and free from subjective analysis or interpretation.
Supplemental fields are based on algorithms and give clients the tools needed to identify trends within transactions.
The aim is to simplify analysis by giving clear signals as to where to find the alpha.

How do you get your data?

Data is uploaded into our database using proprietary software and delivered in near real-time to quant clients. Usually, it is around 1,000 trades per day.
Regulatory reports are tracked in real-time ensuring that we know where and when transactions are reported in every market. We use proprietary software to categorise and analyse the metadata before passing it to the appropriate analyst to process.
While processing requires manual oversight by skilled analysts, much of the production and QA process is automated to ensure data is of the highest quality.

Where do you get your data from?

– The core – individual transaction reports authored by issuers (listed companies) and made public under listing rules within each market.
– Additional data from ancillary datasets: corporate reporting dates, salary, buyback data.

How do you process data?

– Our know-how process verifies and supplements reported data.
– Built-in algorithms identify data flags and analysis fields, for example, a Director Score.
– Various transaction flags are added to enable sophisticated filtering.