Strategy Order Matching Venue for Low-Slippage Trade Execution
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Solution Overview
Problem
Conventional algorithmic trading systems inefficiently process large orders, leading to increased market impact, execution risk, and significant slippage due to fragmentation and latency issues, failing to match orders effectively and resulting in substantial financial losses.
Innovation Solution
A trading system architecture that issues orders with selected strategies, matching them in strategy matching venues based on compatible execution rates, allowing for continuous streams of executions and reducing the need for multiple sub-orders, thereby aligning execution strategies with market liquidity and minimizing slippage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If large orders are broken up into many smaller discrete sub-orders using algorithmic trading systems, then market impact is reduced, but execution time increases and market risk is exposed
Solution Approach 1:
The system segments large institutional orders into multiple child orders that are then further divided into granular execution instructions. This hierarchical segmentation allows the order to be executed in smaller increments across different time periods and price levels, reducing market impact while providing multiple matching opportunities to accelerate execution when liquidity is available.
Solution Approach 2:
The matching engine dynamically adjusts execution parameters based on real-time market conditions. When compatible contra-strategy orders are detected, the system accelerates execution by matching multiple child orders simultaneously. The execution rate is not fixed but adapts to market liquidity, allowing faster completion when opportunities arise while maintaining the ability to slow down when markets are thin.
2Productivity
If orders are fragmented into thousands of discrete small orders, then execution rate can match market liquidity, but processing overhead increases significantly
Solution Approach 1:
The system merges multiple child orders into strategy orders that are then matched with contra-strategy orders. When matches are found, multiple individual executions are consolidated into batch processing operations. This merging approach maintains the ability to execute at market liquidity rates while dramatically reducing the number of separate processing cycles needed compared to handling each small order individually.
Solution Approach 2:
The system performs preliminary matching between child orders and potential contra orders before final execution. By pre-identifying compatible matches and preparing execution instructions in advance, the system reduces the processing burden during actual execution. This preliminary action allows the system to handle large numbers of orders efficiently by having much of the matching work completed before the execution cycle begins.
3Adaptability or versatility
If algorithmic trading systems use multiple sub-orders to fill large orders, then execution flexibility increases, but information leakage and slippage increase
Solution Approach 1:
The system creates virtual copies of order information through strategy orders that represent groups of child orders. These strategy orders are matched with contra-strategy orders without revealing the full details of individual child orders. The copying mechanism allows the system to maintain execution flexibility through multiple child orders while protecting against information leakage by working with aggregated strategy-level information rather than exposing individual order details.
Data Source
AI summary
A system and method for processing of transaction orders includes a strategy matching venue configured to process strategy orders having respective strategies identifying a reference rate or a range of reference rates. Strategy orders are matched to contra strategy orders having a compatible but possibly different strategy. A single match can generate a stream of executions at maximum rate compatible with the strategies for the matched orders. Additional systems operate to generate strategy orders from conventional algorithmic orders and to coordinate filling of the algorithmic order relative to favor filling of the strategy order by the strategy matching venue.