
The Hidden Costs of Optimizing Around the Wrong Metrics in TCA
Most firms rely on outdated TCA metrics, missing hidden execution costs. Learn how price impact, cross-impact, and alpha slippage affect your trading performance.
Blockhouse's predictive analytics and algorithms are designed to uncover hidden costs, optimize execution, and enhance P&L - for modern trading desks.
An integrated suite of algorithms, analytics, SDKs, and research to cut hidden trading costs and enhance returns.
We design, test, deploy, and monitor algorithms tailored for a wide range of strategies, including multi-asset and multi-legged trades. Our solutions support rates, equities, futures, and crypto markets, with more asset classes on the horizon.
Our reports go beyond standard metrics such as markouts, delivering actionable intelligence on comprehensive market impacts, algorithmic benchmarks, and counterparty relationships.
Effective trade execution starts with clean data. Blockhouse standardizes formats, resolves discrepancies, and normalizes inputs to ensure accuracy, optimizing every data point for analytics and execution.
Effective trade execution starts with clean data. Blockhouse standardizes formats, resolves discrepancies, and normalizes inputs to ensure accuracy, optimizing every data point for analytics and execution.
Trading desks need precise insights aligned with execution goals. Blockhouse integrates pre-trade, post-trade, and compliance data into a unified framework, enhancing decision-making, returns, and adaptability.
Trading desks need precise insights aligned with execution goals. Blockhouse integrates pre-trade, post-trade, and compliance data into a unified framework, enhancing decision-making, returns, and adaptability.
Blockhouse uses adaptive AI to minimize slippage, reduce adverse selection, and optimize order flow for better execution in complex markets.
Blockhouse uses adaptive AI to minimize slippage, reduce adverse selection, and optimize order flow for better execution in complex markets.
Blockhouse validates execution with backtesting and A/B testing, ensuring low-latency deployment and consistent results in volatile markets.
Blockhouse validates execution with backtesting and A/B testing, ensuring low-latency deployment and consistent results in volatile markets.
A $50M AUM hedge fund focused on spot equities, operating out of the Midwest.
The fund relied on outsourced TCA, which only measured mark-outs quarterly, and lacked real-time price impact analysis. This limited visibility of execution quality, causing hidden costs, and eroded returns.
Blockhouse ingested the fund's blotter, applied real-time TCA, and analyzed $3M in notional volume over one month. We identified instruments with over 8% slippage and uncovered $30K in potential savings by optimizing execution.
With data-driven insights, the fund adjusted execution strategies, switched venues, and reduced market impact. As a result, they outperformed TWAP/VWAP benchmarks and improved execution efficiency, increasing net returns in the following month.
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