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Submission declined on 14 August 2025 by RangersRus (talk).
This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
in-depth (not just brief mentions about the subject or routine announcements)
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.
Submission declined on 7 August 2025 by Gheus (talk).
This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
in-depth (not just brief mentions about the subject or routine announcements)
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.
Submission declined on 6 August 2025 by MCE89 (talk).
This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
in-depth (not just brief mentions about the subject or routine announcements)
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.
This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies.
This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
in-depth (not just brief mentions about the subject or routine announcements)
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.
Portfolio Optimization: Generates optimized portfolios based on investment goals and constraints (e.g. yield, duration, ESG scores).
Portfolio Rebalancing: Identifies and adjusts portfolios that deviate from targets due to market changes or cash flows.
Bond Ladder Construction: Enables creation of custom bond ladders with configurable parameters such as credit quality, duration, and issuer limits.
Supporting mixed integer solutions tailored for fixed income investing and "solve anyway" functions for complex constraints.
Model Management: Supports large-scale account management with features like batch optimization, block trading, and trade allocation.
Compliance Monitoring: Provides real-time alerts and pre/post-trade checks to ensure adherence to investment policy statements (IPS) and regulatory guidelines.
Performance and Risk Reporting: Offers on-demand and scheduled reports with performance, risk, and compliance metrics.
Multi-venue liquidity access and best execution.
Custody-to-trade integration.
End-to-end portfolio management, from construction to reporting.
Predicts rating transition probabilities for 3,000 corporate and financial issuers globally.
Analyses more than 250 data variables daily to assess downgrade and upgrade risks.
Explainable AI (XAI): Provides transparency into the drivers behind risk assessments, allowing users to understand the impact of various data variables (fundamentals, financial statements, capital markets data) on predictions
Generates alerts and smart lists for identifying investment opportunities and risks.
Performance analysis shows it accurately predicts "90.2% of downgrades vs 79% indicated by rating agency outlooks" and "78.2% vs 54.7% for upgrades.
bondIT’s technology stack incorporates proprietary algorithms, machine learning models, and explainable AI. The platform is data-agnostic and API-ready, allowing integration with custodial systems, trading venues, and third-party data providers. It supports direct indexing, ESG integration, and scenario analysis, and is designed for scalability across thousands of accounts.
bondIT has been recognized in fintech and wealth management publications for its innovation in AI-driven portfolio management. bondIT partnered with BNY Mellon Pershing to developed BondWise, a market leading fixed income platform for U.S. RIA’s and Broker Dealers.[13][14]
bondIT published a number of research articles: Portfolio selection in non-stationary markets[15], and Universal Mean-Variance Portfolios
Comment: Trivial changes will not help get this accepted. Stuartyeates (talk) 08:20, 15 August 2025 (UTC)
- in-depth (not just brief mentions about the subject or routine announcements)
- reliable
- secondary
- strictly independent of the subject
Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.