Overview / Usage

FinCorp Ai mission help companies and inventors, in particular SMEs, to increase their performance by integrating and applying Artificial Intelligence (AI) techniques in their ooperations. In addition to the advisory services it will offer, co-investment will be encouraged to help these companies make the switch to AI. This investment solution is particularly intended to be a powerful lever to accelerate the adoption of artificial intelligence technologies in Algerian companies so that they further contribute to Algeria's socio-economic development.

Methodology / Approach

FinCorp-AI Algorithmic trading Robot objectives:

1. Improve the productivity and competitiveness of Algerian businesses through the application of AI;
2. Allow companies to implement AI solutions developed in the short term (maximum two years);
3. Provide businesses with the capacity to sustainably implement the AI solutions developed;
4. Obtain a catalytic effect on the transformation of other business sectors of companies.

FinCorp Ai main product is Algorithmic Robot for tracking system and trading that provides :

• Analysis of market trends and sentiments (14% of respondents);
• Improvement of the portfolio management process (12%);
• IIncreased productivity (11%);
• Investors behavior analysis (12%); forecasting trends and analyzing risks (11%);
• Detection of cybersecurity vulnerabilities (10%).

Technologies Used

Our Algo trading robot is computer code sets that identif buy and sell opportunities, with the ability to execute the entry and exit orders.In order to be profitable, the aalgorithms must identify regular and persistent market efficiencies.While examples of get-rich-quick schemes abound, aspiring algo traders are better served to have modestOur Algorithmic Robot analyzes unstructured data sets in order to map customer interests and predict products and services that may interest them. It is already used by UBS, Deutsche Bank and BlackRock. We aimims to help asset managers improve the efficiency of fund distribution through a deeper understanding of their clients, the result of exploiting hundreds of data sources. The algorithm trading robot will possess “cognitive profiling”: an innovative way to understand savers thanks to AI which consists in analyzing the past behavior of an investor (did he panic with each financial crisis? ?) to automatically deduce the client's real risk profile and therefore to offer him the most suitable investments.We are working with MetaQuotes Language 4 (MQL4) for coding trading strategies. MT4’s main asset class is foreign exchange (FX).The mathematical model used in developing the strategy is be based on Gaussian Model .Openvino implementation to accelerate the use of machine perception in the commercial products.Our project considers:

• Macroeconomic news (e.g., non-farm payroll or interest rate changes)
• Fundamental analysis (e.g., using revenue data or earnings release notes)
• Statistical analysis (e.g., correlation or co-integration)
• Technical analysis(e.g., moving averages)
• The market microstructure (e.g. arbitrage or trade infrastructure)