Architecture · Six Modules
Reconnecting the professional work that used to be scattered.
From recognizing market change to deliberating investment views, comparing scenarios, constraining risk and reviewing outcomes, EONVERA ADI aims to connect the full investment decision process into an intelligence network built for continuous feedback.
Design Logic
Coordination matters more than any single capability.
What matters most about this design is how it reconnects professional work that is usually scattered across people, models and software. Market understanding can trigger model review, model changes can prompt fresh deliberation, and scenario analysis can require additional evidence in return.
Research therefore does not have to end as a one-off report; it can become a process that updates as markets change. The modules share one standard of evidence and one set of governance rules, rather than operating as isolated tools.
- 01Six core modules under one collaboration mechanism
- 02The Intelligent Investment Decision Center assembles module outputs
- 03Recommendations carry evidence, constraints and re-evaluation conditions
- 04Governance runs through permissions, rules, audit and feedback
Modules
Six modules, answering six kinds of questions.
Select a module to view its responsibilities, inputs, outputs and governance requirements.
Global Financial World Model
What is happening in the market?
Connects interest rates, policy, corporate operations, capital flows and asset prices to build a cross-market understanding of conditions. Its aim is not to forecast a single asset price in isolation, but to identify the conditions and transmission relationships between markets, providing a shared market context for subsequent model review and scenario analysis.
Interest rate and policy information, corporate operating data, capital flows and asset prices.
Market-state recognition, cross-market conditions and anomaly signals requiring review.
Data sources and versions are traceable, and state changes can trigger a model down-weighting assessment.
Adaptive Model Evolution
Do current methods still apply?
Manages training, out-of-sample validation, drift monitoring and version updates. When structural market change causes model performance to diverge, the system must recognize that divergence and trigger review. Model evolution is not automatic replacement; it is a controlled update carried out after validation and approval.
Training data, out-of-sample results, drift indicators and historical version records.
Model performance assessments, drift alerts and version update proposals.
Major model updates and production environment changes require review by the Model and Technology Governance Committee.
Machine Investment Committee
Can a judgment withstand examination from different perspectives?
Organizes different professional roles to propose and challenge views. It keeps professional disagreement inside the decision process rather than adding comments after a conclusion has formed. The value of the committee mechanism lies not in reaching consensus, but in giving opposing views a place to be recorded and reconsidered.
Research views, supporting evidence, dissenting opinions and risk boundaries.
Deliberation opinions, dissent records and a list of evidence still required.
Differing views remain in the decision record, supporting later reconsideration and outcome reviews.
Causal & Scenario Intelligence
How would the portfolio perform under different future paths?
Compares alternative future paths and studies risk budgets and portfolio choices. It focuses not on a single forecast, but on portfolio performance and points of fragility across multiple possible conditions, so that investment plans are stress-tested in advance.
Market states, portfolio holdings, risk budgets and scenario assumptions.
Path comparisons, stress test results and candidate portfolio adjustments.
Scenario assumptions and parameter sources are retained, and results can be reviewed by the committee.
Heterogeneous & Quantum Computing
What computing resources do complex scenarios require?
Handles resource scheduling and experimental research, providing infrastructure for complex scenarios and large-scale computation. Computing power here is a research tool, not an end in itself. How resources are allocated and how experiments are reproduced must also be recorded.
Computing tasks, resource requirements, experiment parameters and priorities.
Scheduling results, experiment outputs and reproducible compute records.
Resource use and experimental processes are traceable, preventing computing capacity from drifting away from research objectives.
Intelligent Risk Governance & Evolution
Do system outputs stay within an authorizable, traceable range?
Threads through permissions, risk rules, audit and outcome feedback. It ensures that system outputs always remain authorizable, traceable and reviewable, and carries feedback from use back into updates of rules and processes.
Permission configurations, risk rules, operation records and user feedback.
Authorization checks, audit records, risk alerts and governance update proposals.
Connects to committee review within the organization, with approval and version records retained for major changes.
Feedback Loop
What does a liquidity contraction set in motion?
Using the hypothetical scenario of a sudden liquidity contraction, the system design allows market-state recognition to trigger a model down-weighting assessment, portfolio stress testing and committee re-deliberation at the same time. Even when an asset's valuation becomes more attractive, insufficient trading depth and rising impact costs may still change the execution plan.
Market-state recognition
The World Model identifies a change in liquidity conditions and flags the market states that require review.
Model down-weighting assessment
Adaptive Model Evolution checks whether current methods remain suitable under present conditions and lowers their weight where necessary.
Portfolio stress testing
Scenario Intelligence assesses how trading depth, impact costs and portfolio constraints affect the execution plan.
Committee re-deliberation
Dissent and new evidence go to the committee, producing recommendations with constraints and re-evaluation conditions.