Trading Execution Analytics & TCA Platform

Every trading desk understands that execution quality directly affects portfolio performance. A few basis points lost to slippage, market impact, or fees can materially erode alpha, particularly for active and high-turnover strategies. Yet in many firms, execution analysis still relies on end-of-day or end-of-month summary reports that explain what happened, but not why it happened or how to improve it.

zeb’s Trading Execution Analytics & TCA Platform addresses this gap by unifying order lifecycle data, market context, and venue intelligence into a governed analytics foundation. Built as a Trading Analytics Lakehouse, the platform measures, explains, and continuously improves execution performance across venues, brokers, and algorithms, while supporting best-execution obligations.

Transform fragmented execution data into actionable intelligence

Trading data typically sits across OMS, EMS, smart routers, broker reports, and market data feeds. Without a unified view, desks struggle to attribute costs accurately or compare performance across venues and strategies.

The platform consolidates:

Parent and child orders, fills, routing tags, and algo parameters
High-resolution quotes and trade data to construct benchmarks such as arrival price, VWAP, TWAP, and quote mid
Broker and venue metadata, including fee schedules and liquidity flags

This unified lakehouse foundation creates a consistent execution dataset shared across trading, quant, risk, and compliance teams. Pre-computed benchmarks and reusable analytics tables ensure that cost attribution and performance comparisons are both scalable and transparent.

Comprehensive transaction cost analytics and attribution

On this data foundation, the platform delivers multi-level TCA:

Explicit costs such as commissions, fees, and taxes
Implicit costs including slippage versus benchmarks, spread capture, and market impact
Implementation shortfall decomposition into delay, execution, and opportunity costs

Dashboards allow drill-through analysis by strategy, trader, broker, venue, symbol, time-of-day, and order size. Traders and execution quants can identify where costs consistently exceed benchmarks and isolate whether issues stem from routing decisions, scheduling choices, or algo configuration.

Portfolio managers and buy-side clients receive consolidated execution-quality reports at fund or mandate level, linking trading outcomes back to decision prices and investment intent. Compliance teams gain audit-ready documentation aligned with regulatory expectations around systematic best-execution monitoring.

Close the loop between analytics and trading decisions

Traditional TCA often stops reporting. zeb’s platform feeds insights directly back into execution strategy.

Algo and routing optimization

Comparative scorecards evaluate algos, brokers, and venues by asset class, liquidity regime, volatility environment, and trade characteristics. The system highlights where certain routing patterns leave spread on the table or generate excessive impact. Parameter and routing recommendations can be integrated into OMS/EMS configurations and broker scorecards.

Intraday execution monitoring

Live panels compare active orders against rolling benchmarks. When orders deviate from VWAP or exhibit rising impact, alerts prompt traders to adjust aggressiveness, switch algos, or redirect flow while the order is still live.

AI-driven execution insights

AI agents built on the governed execution dataset enable natural-language queries such as:

“Why was execution cost elevated on this basket?”
“Which venue and algo combination performed best for similar orders over the last quarter?”

The agent runs the required analytics and presents data-backed explanations, strengthening decision support across the desk.

Architecture designed for scale and governance

The Trading Analytics Lakehouse follows a structured data architecture:

Data Ingestion (Bronze Layer): Streaming parent and child orders, fills, quotes, routing metadata, fees, and risk flags from OMS, EMS, routers, and venues.
Data Processing (Silver Layer): Normalization of instruments and venues, linkage of orders to fills, calculation of benchmarks such as arrival price and VWAP, and enrichment with mandate and regulatory attributes.
Analytics & Insights (Gold Layer): TCA metrics, cost models, predictive ML models, venue/algo scorecards, dashboards, APIs, alerts, and regulator-ready reports.

By combining low-latency streaming with historical libraries, the platform supports intraday alerting, back-testing of routing strategies, and comprehensive compliance reporting on a single governed dataset.

What sets zeb’s platform apart

zeb designed this solution specifically for capital markets trading desks operating in fragmented, multi-venue environments. Key differentiators include:

Unified Lakehouse architecture consolidating tick-level OMS, EMS, routing, and broker data
Predictive ML models supporting pre-trade cost estimation and smarter routing
Self-service TCA dashboards for trading, risk, compliance, and client reportin
A single governed execution dataset ensuring consistent best-execution narratives
Proven experience aligning analytics with regulatory and client transparency requirements

Firms implementing this approach have observed measurable reductions in implementation shortfall, improved routing discipline, and significant reductions in manual TCA preparation effort.

Start strengthening your execution strategy

Execution quality should be measurable, explainable, and continuously optimized. If your trading desk is looking to reduce implementation shortfall, enhance routing decisions, or strengthen best-execution reporting, zeb can help you design and implement a governed Trading Execution Analytics & TCA platform tailored to your asset classes and workflows.

Connect with our specialists to assess your current execution analytics maturity and define a roadmap toward scalable, data-driven execution intelligence.