Financial Market Snapshot Generation via Workflow Segmentation
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Solution Overview
Problem
Existing systems face challenges in generating consistent end-of-day financial market data snapshots from multiple sources, as they require processing and integrating various data types and dependencies, such as corporate actions, earnings announcements, and sector classifications, which can lead to inconsistencies and inefficiencies.
Innovation Solution
A rules-engine-based system that uses workflows to automate the processing of financial market data, incorporating concepts like dependency constraints, time-based conditions, and distributed architecture to ensure consistent and scalable generation of snapshots, leveraging a central repository for workflow configuration and auto-recovery mechanisms to handle failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processing and integration of financial market data from multiple sources is performed, then data consistency can be maintained through human oversight, but processing efficiency and productivity are significantly reduced
Solution Approach 1:
The system segments the complex task of financial market data integration into multiple independent workflows, each handling specific data sources or processing logic. These workflows can be executed in parallel and independently managed, improving both efficiency and consistency through modular processing
Solution Approach 2:
The system implements feedback mechanisms where workflow execution results are monitored and fed back into the system. This enables automatic detection of data inconsistencies, triggering reprocessing or validation routines to maintain data consistency while operating at automated speeds
2Manufacturing precision
If complex dependency constraints between multiple data sources are manually managed, then accurate data integration can be achieved, but system complexity and operational difficulty increase
Solution Approach 1:
The workflow system automatically manages dependency constraints between data sources without requiring manual intervention. The system self-configures the processing sequence based on defined dependencies, automatically resolving complex integration challenges while maintaining accuracy
Solution Approach 2:
The system employs a universal workflow engine that can handle various types of data sources, dependency types, and processing logic through a single platform. This multi-functional approach reduces operational complexity by providing a unified interface for managing diverse integration scenarios
3Productivity
If automated workflow processing is implemented for financial market data snapshots, then processing speed and productivity are improved, but system reliability may deteriorate due to potential automation errors
Solution Approach 1:
The system performs preliminary validation and configuration of workflows before execution. Data sources and processing logic are pre-configured and validated, ensuring that automated processing maintains high reliability by preventing errors before they occur
Solution Approach 2:
The system implements error handling and validation mechanisms in advance of potential failures. Checkpoints and verification steps are built into the workflow to cushion against automation errors, maintaining reliability while preserving processing speed
Data Source
AI summary
Methods and systems for automatically generating a financial market snapshot are disclosed. A plurality of financial market data elements from a plurality of sources are received. Respective workflows selected from a plurality of workflows in the at least one memory are determined, each respective workflow being selected for processing a separate one of the plurality of financial market data elements. A plurality of dependencies linking the respective workflows with one another are determined, each dependency comprising at least one dependency condition. In response to at least one dependency condition being met, at least one of the respective workflows is linked to the at least one dependency for which the at least one dependency condition is met. The financial market snapshot is generated as a result of the processing of the at least one respective workflow.


