Software - ARMDAT

The ARMDAT ebook and WinORS software are intended solely for educational and research purposes. Neither is offered as a regulated financial product or service in any jurisdiction. Neither connects to exchanges, dealers, or trading platforms to enable transactions in financial instruments, currencies, cryptocurrencies, or virtual currencies. Neither product provides investment or financial advice, trading signals, or actionable trading recommendations or strategies. Any examples, analyses, simulations, or discussions of trading strategies are provided exclusively for learning and research and should not be interpreted as recommendations to enter into financial transactions. Neither the ARMDAT ebook nor the WinORS software awards professional certifications or provides professional examination preparation services.

The link below provides access to the NKD-Group hosted cloud version of WinORS software. Login credentials, a username and password, are required. Login credentials are provided upon completion of the subscription process. Direct connect to trade execution partners is not supported.

CLICK HERE to Login to the Thinfinity Server

The Desktop/Server version is designed for high-performance computing (HPC) environments to support research and AI-focused exploration in academic and corporate settings. Like the cloud-based versions, it does not support any form of direct trade execution. Available only to qualified users, this version is offered outside the SaaS educational model and requires a separately negotiated agreement. Please direct your inquiry to The NKD-Group, Inc. for additional details.

Cloud Based with support for all major browsers (e.g., Edge, Chrome, Safari, Comet, Opera) across desktop and mobile platforms. The software supports team collaboration on project files. Following a spreadsheet metaphor, the software provides menu access to Computational Techniques. Featuring access to real-time market data, including ESG and Sustainability metrics, WinORS is compliant with Experiential Learning goals. All ML techniques include auto generation of SHAP explainable AI (XAI) analytics. The look and feel of WinORS is Excel inspired. Internal reporting is MS Word compatible. There is a lot more, to view, please visit THIS LINK.