Market Data

Data that powers markets

For nearly 30 years, Modulus has engineered the systems that consume, analyze, display, distribute, and act on financial market data. Clean, reliable data is the foundation of every serious trading workflow, from a retail chart to an institutional execution system.

Built for financial systems

Market data is not just a file, feed, or chart. It is the input layer for trading decisions, analytics, risk systems, strategy testing, order routing, portfolio tools, compliance workflows, and AI-driven financial applications.

Modulus provides market data solutions for firms that need data to move cleanly through production software, not sit in a spreadsheet. Whether the application is a trading platform, broker portal, market-data terminal, research dashboard, mobile app, AI workflow, or exchange environment, Modulus helps structure the data layer so the rest of the system can perform.

End-of-day and historical data

Historical price data gives traders, developers, analysts, and financial firms the foundation to test strategies, build charts, train models, evaluate markets, and power long-term research.

The Modulus Market Data Platform can support end-of-day pricing, historical OHLCV data, adjusted and unadjusted price series, corporate actions including splits and dividends, symbol history, and bulk historical files depending on the data package and licensing requirements.

For clients building charting systems, backtesting tools, research products, or AI models, Modulus can help turn historical data into a structured, usable, application-ready dataset.

Intraday market data

Intraday data powers faster research, more responsive charts, short-term strategy testing, market replay, volatility analysis, and time-sensitive financial applications.

Modulus can support intraday bar data, custom intervals, historical intraday archives, and application-ready delivery for systems that need more than daily prices. Data can be formatted for use in web platforms, desktop applications, mobile apps, analytics engines, trading tools, and financial AI workflows.

When timing matters, the data layer must be designed for speed, consistency, and clean integration.

Flexible delivery

Different clients need market data in different ways. Some need bulk historical files. Some need API access. Some need scheduled updates after market close. Others need a custom feed integrated directly into a trading platform, broker system, or analytics product.

Modulus can provide market data through APIs, bulk downloads, scheduled delivery, custom file formats, database integration, and application-specific workflows. Delivery can be designed around internal engineering teams, commercial software products, AI agents, research teams, or production financial systems.

The goal is simple. Make the data easy to receive, easy to use, and easy to build into the product.

Clean formats for real applications

Financial data becomes valuable when it is organized, normalized, and ready for use. Modulus can prepare market data for charting, technical analysis, backtesting, market scanning, portfolio tools, AI models, and trading systems.

Supported formats and delivery targets can include CSV, JSON, XML, SQL databases, compressed bulk files, API responses, and custom layouts for existing applications. Modulus can also support integration with common trading and analysis environments where required.

Clean formats reduce friction for developers, analysts, and product teams, helping projects move faster from data acquisition to production use.

Built for developers

Market data should not slow down development. Modulus helps developers connect data to applications, dashboards, backtesting engines, AI models, and trading workflows with clear delivery options and practical integration support.

The platform can support symbol lookup, historical requests, batch downloads, automated updates, symbol metadata, corporate-action handling, and application-specific data preparation. For teams building with AI, Modulus can also provide structured data workflows through the Modulus Blueprint™ and Modulus Code Foundry™.

The result is market data that fits the way modern financial software is built.

Coverage for serious markets

Modulus market data solutions can support equities, ETFs, indices, futures, commodities, forex, crypto, mutual funds, and other financial instruments depending on licensing, coverage, and project requirements.

The platform can be configured for retail trading tools, professional research products, broker portals, institutional dashboards, internal analytics, market-data websites, exchange products, and AI-powered financial systems.

Whether the product needs broad historical coverage, daily updates, intraday bars, custom feeds, or specialized datasets, Modulus can help design the right market-data foundation.

Data quality

Bad data damages trust. Spikes, missing records, incorrect adjustments, stale symbols, duplicate entries, broken corporate actions, and inconsistent formatting can distort charts, break backtests, and weaken financial products.

Modulus can support data validation, normalization, anomaly review, corporate-action handling, symbol mapping, update workflows, and quality-control processes designed for financial applications.

A market-data product must be accurate enough for users, clean enough for developers, and reliable enough for business-critical systems.

Custom feeds and enterprise licensing

Many financial firms need more than a public data subscription. They need a licensed market-data layer that can be built into commercial software, redistributed under appropriate terms, integrated into internal systems, or customized for a specific business model.

Modulus can support custom market-data feeds, private datasets, commercial licensing structures, enterprise delivery, and integration into larger financial technology projects.

For clients building trading platforms, broker systems, market-data portals, analytics products, or AI-driven financial applications, Modulus can combine market data with the source code, architecture, and engineering support required to bring the full product to market.

Why Modulus

Modulus has spent nearly 30 years building financial technology systems that rely on fast, clean, structured market data. Our work spans trading platforms, exchange infrastructure, technical analysis, backtesting, financial AI, broker systems, market-data tools, and high-performance financial applications.

That experience changes the way market data is delivered. Modulus understands how the data will be used, where it breaks, what developers need, and how financial products depend on it.

Market data is more than information. In the right system, it becomes the foundation for analysis, trading, automation, AI, and market infrastructure.