Optimize Trade Execution With Predictive Analytics

Blockhouse's predictive analytics and algorithms are designed to uncover hidden costs, optimize execution, and enhance P&L - for modern trading desks.

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Move beyond static benchmarks and rules based algorithms. Leverage dynamic, real-time trading strategies that connect data to measurable execution outcomes across global financial markets.

A Modern Solution for Trade Execution

An integrated suite of algorithms, analytics, SDKs, and research to cut hidden trading costs and enhance returns.

Algorithms

Algorithms

Analytics

Analytics

SDK Infrastructure

SDK Infrastructure

Research

Research

Algorithms

Enhance Your Executions Across Global Financial Markets

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.

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Analytics

Analyze your executions and uncover hidden costs

Our reports go beyond standard metrics such as markouts, delivering actionable intelligence on comprehensive market impacts, algorithmic benchmarks, and counterparty relationships.

Analytics and trading charts dashboard

Process

01
01

Data Ingestion + Pre-Processing

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.

02
02

Analytical Alignment

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.

03
03

Model Development

Blockhouse uses adaptive AI to minimize slippage, reduce adverse selection, and optimize order flow for better execution in complex markets.

04
04

Testing & Deployment

Blockhouse validates execution with backtesting and A/B testing, ensuring low-latency deployment and consistent results in volatile markets.

Proven Impact

People

A $50M AUM hedge fund focused on spot equities, operating out of the Midwest.

Challenge

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.

Solution

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.

Impact

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.

Midwest Hedge Fund ($50M AUM)
FAQs

Frequently Asked Questions

Have Questions? We're Here to Help!

Reach out to our support team for any queries or assistance.