Performance & Stability
What Are the Core Differences between Liquidity Sensing in Equity Markets versus Fixed Income for Rfq Timing?
Equity liquidity sensing is a data-rich, algorithmic optimization; fixed income is a data-scarce, relationship-driven intelligence operation.
What Are the Key Differences in Data Requirements for Rfq Models in Equity versus Fixed Income Markets?
Equity RFQ models use high-frequency public data to manage impact; fixed income models use private, disparate data to discover price.
What Are the Key Differences between a Standard RFQ and an Axe-Based RFQ Protocol?
An axe-based RFQ inverts the standard protocol by responding to dealer interest, minimizing information leakage for block trades.
How Can Pre-Trade Analytics Be Adapted for Illiquid or Over-The-Counter Financial Instruments?
Adapting pre-trade analytics for OTC assets requires a shift from interpreting visible data to probabilistically modeling latent liquidity.
What Are the Primary Data Inputs for a Dealer Scoring Algorithm in an Rfq System?
A dealer scoring algorithm's inputs are a synthesis of historical performance, behavioral data, and market context to predict execution quality.
