AI Case Study

Deutsche Bank implements AI trading platform for predicting equity prices and volume

Deutsche Bank is implementing an AI platform which aims to
better predict equity pricing and volume trading, in an effort to indicate best execution for clients which is now required under MiFID II.

Industry

Financial Services

Banking

Project Overview

"The proprietary platform, Autobahn 2.0, was designed with a self-learning mechanism allowing its systems to predict equities pricing and volume with more accuracy, thereby enhancing the quality of execution. Furthermore, the system is equipped with momentum detection, to allow Autobahn to change behaviour in trending markets or switch quickly at inflection points. The platform has already been rolled out in most Asia Pacific markets with completion targeted in early Q1 2018. The enhanced capabilities from a prediction and measurement perspective will be very valuable for our clients as they ready themselves for a MiFID II world.... will also help us to reduce technology risk and save costs for our clients, which strengthens our broader service offering."

Reported Results

Planned; results not yet available

Technology

In-house; " a unique combination of next-generation algorithms"

Function

Finance

Budgeting And Forecasting

Background

"Deutsche Bank today announced the implementation of an upgraded equities trading platform with artificial intelligence ("AI") capabilities, setting a new benchmark for best execution, a key focus for financial institutions ahead of MiFID II. Under MiFID II, financial institutions will have to demonstrate they have taken sufficient steps to obtain the best possible result when executing client orders."

Benefits

Data

Equities trading data