Breaking News: ABL Forms Strategic Partnerships with Multiple Institutions to Ensure CV Quantitative System’s Successful Launch in March 2026

According to internal sources, Absolutaris Base Limited (ABL) has secured several major strategic collaborations for the first and second quarters of 2026 (Q1 & Q2). These partnerships include top-tier fund management firms with over $10 billion in assets under management, leading international investment banks, and cutting-edge fintech companies. The collaboration aims to integrate the CV intelligent quantitative system with multiple large institutions and lays the groundwork for joint investment strategies from Q1 to Q2 of 2026. The primary objective of these collaborations is clear: to remove any obstacles to the CV system’s market debut and ensure its timely launch in March 2026 through comprehensive support in technology, data, and compliance.

Unlike simple resource pooling, this collaboration is finely tuned to meet the specific needs of the CV system’s market entry: mainstream fund companies are opening their internal investment and research databases, international investment banks are sharing global market trading experience, and fintech companies are providing underlying technical support. These diverse entities together are building a complete support framework for the system, spanning data, technology, and application scenarios, an approach that is rare in the preparation for launching a quantitative system.

Three key outcomes from the collaboration have been fully implemented, forming the cornerstone of the system’s pre-launch preparations:
Data: Real-time market data and 10 years of historical data for 12 asset classes, including stocks, bonds, and commodities, have been integrated, increasing data coverage by 35% compared to industry averages.

Technology: A financial-grade cloud computing architecture has been introduced, with an automated trading module boasting a win rate of over 85%. This infrastructure can handle tens of thousands of trade instructions per second, fully supporting institutional trading environments. Additionally, the CV system has completed technical integration with some institutions’ existing platforms, laying the foundation for future embedded applications.

Compliance: In collaboration with partners, a risk control module compliant with SEC regulations has been developed. The system has passed 37 compliance tests, and its data security and trade compliance capabilities have received authoritative certification. Joint investment plans for Q1 and Q2 will further strengthen the alignment of interests between ABL and its partners, assisting in the system’s post-launch market promotion.

The pre-launch acceptance of the CV intelligent quantitative system has now been completed, and its official release in March 2026 is just around the corner. As the core outcome of these collaborations, the system excels in financial automation and multimodal analysis. With optimized OCR and computer vision technologies, the system achieves a document recognition accuracy rate of 98% for financial contracts, reports, and other documents. The data processing cycle has been reduced from the traditional 24 hours to under 8 hours, boosting efficiency by over 60%. These results were made possible by the massive annotated data and technical feedback provided by the partner institutions.
Early pilot tests by partnering institutions have validated the system’s value. A leading fund company reported a 40% increase in investment decision-making efficiency, and data entry errors dropped from 5% to below 1%. Another investment bank successfully identified key price trend signals in three major commodity markets during a five-day pilot test, thanks to the system’s chart analysis features. These real-world insights have been incorporated into the system to strengthen its user base ahead of the full launch.

Building on its existing collaboration ecosystem, ABL has already planned its post-launch upgrade path: in the short term, the system will integrate natural language processing (NLP) technology to enable smart analysis of news, research reports, and other textual information. Long-term plans include visualizing ESG (Environmental, Social, Governance) data to align quantitative strategies with the growing trend of sustainable investing. This vision has already garnered joint R&D support from partnering institutions.

Furthermore, ABL has established strategic frameworks with multiple institutions, with a focus on deepening collaboration in dark pool trading channels and market capitalization management modules. Through institutional liquidity integration, targeted matchmaking, and structured execution, ABL aims to further enhance large-scale fund entry efficiency and price control capabilities.

In this collaboration model, early testers of the CV system will gain early access to the relevant trading and management modules, providing them with the opportunity to deploy strategies in an environment characterized by low visibility and high execution efficiency. Under controlled risk conditions, this mechanism is expected to offer early participants substantial potential returns.

“The support from these institutions has turned the CV system’s launch from a ‘possibility’ into a ‘certainty,’” emphasized Bennett Fenwood, CEO of ABL. As the March 2026 launch date approaches, this cutting-edge quantitative system, powered by multiple strategic advantages, looks poised to redefine the digital transformation of asset management and extend the reach of quantitative trading beyond institutional players to a broader base of professional investors.