Information Richness Ratio, in crypto trading systems architecture, quantifies the value density of transmitted market data relative to its volume or transmission overhead. It measures the amount of actionable intelligence derivable from a data stream versus the resources required for its processing and transport.
Mechanism
This ratio is influenced by the granularity, frequency, and breadth of market data, juxtaposed against the incurred bandwidth, processing power, and latency. A high richness ratio indicates significant decision-relevant information extracted from a concise data payload, achieved through efficient data compression, intelligent filtering, and structured data formats that minimize redundancy.
Methodology
The methodology involves optimizing data acquisition and distribution pipelines to maximize informational value while minimizing computational and network burdens. This includes designing data schemas that prioritize critical metrics, employing real-time analytics to distill raw feeds into actionable signals, and implementing adaptive data streaming protocols. The objective is to deliver precise, timely data for robust algorithmic decision-making without saturating system resources.
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