ARTIFICIAL INTELLIGENCE ASSET MANAGEMENT
FROM CUTTING EDGE A.I. RESEARCH
TO INNOVATIVE FINANCIAL SOLUTIONS
ABOUT
Quantitative and Systematic Systems, Inspired by Neuroscience, for Asset Management
AIAM proposes a new generation of Artificial Intelligence quantitative and systematic systems, inspired by neuroscience, for Asset Management. Our philosophy, like our logo design shows, is to always have human supervision of the behavior of the AI, the risks and the execution of the trades in volatile markets.
Our engine collects data continuously from its digital environment
The engine evolves to progressively achieve objectives through autonomous learning to perform better from one day to the next
Like human beings, Artificial Intelligence learns by experience and instructions.
It is designed to behave optimally in highly complex financial markets.
CHARACTERISTICS
PLASTICITY
The integration of new knowledge is managed such that the existing balance is not disrupted. The importance of each information stream is constantly influenced and weighted depending on their probability and usefulness. The AIAM engine has the ability to select modalities that are most likely to give high performances at that time, whilst inhibiting others.
ASSET ALLOCATION FOR AN EVOLVING WORLD
A global and agile Artificial Intelligence multi asset model is key in today’s rapidly transforming global economy
GOAL
Absolute return performance uncorrelated in the long term to traditional asset classes
Absolute return performance
APPROACH
A multi-strategy model with the agility to adapt to different market environments over time, increasing efficiency and robustness
A multi-strategy model
TOOL
AI: designed to behave optimally in highly complex and unstable environments
Algorithm: strictly adhering to pre-programmed algorithms, the right decisions can be made without riding the emotional waves of the market trends
AI + quantitative & systematic system
UNIVERSE
Each day the model adjusts exposure to the 30 most liquid instruments across all asset classes and geographic areas, depending upon deep price analysis, correlation, risk and market sentiment.
Most liquid financial instruments
ARTIFICIAL INTELLIGENCE ENGINE TECHNIQUES
IDENTIFICATION
AIAM platform identifies complex trading patterns on a massive scale across multiple markets in real time. Combining machine learning technology with high-speed, big data processing power
DEVELOPMENT
BACKTEST
11 YEARS OF STATISTICAL BACKTEST
2005 - 2016
The backtest period does not include the predictions of the IA Engine which was in the learning and validation process.
PAPER TRADING
PURE TEST APPLYING THE FULL MODEL.
2016 - 2019
During 3,5 years.
No optimization or over-fitting was possible during this period.
REAL
SIGNALS
2019 - Now
As a Luxembourg regulated UCITS V fund Advisor (AUM 12M€)
AI GLOBAL MACRO FUND
2020
Launching the first fund managed by AIAM Engine : “AI Global Macro Fund”
A. BENNIS
CEO
BA Trading: CEO, development of robot traders and financial models. Advisor for asset managers and family offices and board member of funds (4 years)
Chahine Capital : Fund Manager, portfolio combining European equity and Alternative Global Macro strategies - €550M AUM, Luxembourg (3 years)
Financière Arbevel: Quantitative global fund Manager, Wealth management advisor- Paris (3 years)
OTC Financial : Asset Management Consultant - New York (1 year)
AXA France : Quantitative Analyst - Paris (1 year)
Engineer – Institut Mines Telecom (Atlantique)