FAQ: All the Answers to Your Questions

This is a case of market abuse where a small order is followed by a large one in order to take advantage of the upward trend generated by the latter. 

This type of market abuse is defined as buying a significant portion of the total buying volume of a security on a given day. 

This type of market abuse is characterized by taking positions in order to maintain the price of a security at a certain level. The purpose of this market abuse technique is to keep the price low or to prevent the price from rising too high. 

Systematic trading is a trading model that relies on strict rules for determining buying and selling opportunities in financial markets. This computerized method is considered to be objective, as opposed to the decisions made by traders that are discretionary (and therefore based on subjective criteria). Systematic trading is also known as “quant trading”, “quantitative trading” or “algorithmic trading”. 

This market abuse alert is designed to prevent the disclosure of information to a financial advisor on behalf of other clients. The bank then monitors transactions via a dedicated instrument for which it has a “listed company manager” status. The goal of this is to prevent possible insider trading. 

This case of market abuse concerns clients who have the specificity of being on a “Permanent Insider List” and who, through their position, have access to sensitive inside information concerning a listed company. Surveillance then takes place on transactions carried out by the client’s company to monitor possible insider trading. 

In the event of an unusually high volume of low-priced transactions on a session for a given client, this alert identifies potential market abuse behaviors in relation to other ongoing scenarios. 

This case of market abuse results in a large concentration of orders on one day compared to the volume of orders handled on previous days. 

This market abuse alert identifies situations in which a customer has significant activity on one side of the order book with the intent to execute trades on the other side of the order book. 

This market abuse scenario is based on hidden orders. This alert identifies a client placing small orders on an instrument. 

This case of market abuse concerns clients who have significant trading activity during the closing period. 

This market abuse scenario identifies customers who cancel a high volume of orders in a single day. 

This market abuse alert is defined by momentum ignition strategies that consist in a significant number of executions on the one side of the market in order to give the illusion of an ongoing trend through directional movement.

The client attempts to simulate a high trading volume on the market. Market abuse takes place when no orders are executed. 

This alert is one of the most common cases of market abuse. It signals the presence of significant activity, in amount or volume, on a given instrument over a defined period of time. This alert defines a characterized event of insider trading.

Insider trading is one of the main market abuse events. It is defined as significant activity on an instrument linked to the publication of non-public information that has an impact on the instruments’ price. 

The concept of market abuse covers all forms of insider trading and price manipulation. Stock market investors are directly or indirectly disadvantaged by the exploitation of non-public information (i.e., inside information), by operations that distort the price formation mechanism, or by the disclosure of misleading information. 

We offer a simple model with a monthly subscription based on your volume of customers.

Our software solutions can be interfaced with all the major CRM or Marketing Automation software solutions on the market.
We work with flat files or webservices.

AfterData is 100% GDPR compliant:

• No personal data is processed
• All data are Pseudonymized at the source
• All data exchanges are secure
• The register of processes is updated on a regular basis

We mainly need your day-to-day business data.
We know how to retrieve several sources of data, even unstructured.
We recover your data as is, as flat files.

We clean and structure them and complement them with our OPEN DATA.
For the learning phase, we need two to three years of past data.

We mainly need your daily business data: product(s)/policy(ies) subscribed, premiums/contributions, claims, after-insurance cost, contract duration, etc.
You also have valuable socio-demographic data: gender, age, geographical location, and possibly some behavioral data such as complaints, Intranet activity, etc.

We help you prepare your data and optimize your teams’ time. Your IS teams do not need to reprocess any data:

• We can help you select the data.
• We recover your data as is, as flat files.
• We clean them and structure them

AfterData offers two types of services:

• our expertise center: our data experts work alongside your teams to help them enhance the value of their work (external data, algorithm optimization, etc.).
• our solution center:  a predictive marketing platform that enables the Data teams to enhance the autonomy and efficiency of the Marketing teams in their data exploitation activities.

The AfterData software solution is designed to provide a veritable link between the Data and Marketing teams, enhancing your data in a visual, easy-to-understand and customizable way, meaning your teams can view key scores and variables and carry out very precise targeting operations.

With our expertise center, our versatile and experienced experts will work alongside your teams to help produce relevant data visualizations, build prediction models and calculate predictive scores.

We can help you:

• optimize your algorithms
• enrich external OPEN DATA
• maintain scores over time
• etc.

We provide a turnkey predictive marketing software solution designed specifically for marketing teams: with AfterData, your marketing and sales teams will be able to run and manage campaigns completely independently.

Our software solution integrates control group features, which provide assessment not only of the quality of the predictions but also of the effectiveness of the marketing actions being implemented.