By Mick Hittesdorf, Senior Cloud Architect at OneMarketData
In the rapidly evolving world of financial technology, the speed and sophistication of market data analytics are more important than ever. Yet many firms are still tethered to legacy systems—clunky, brittle infrastructures that weren’t built for the scale or agility today’s markets demand. At OneMarketData, we’ve taken a deliberate, forward-looking approach to solving this with OneTick Cloud.
Why Modernize Tick Analytics?
Tick data is the most granular view into market activity, offering a detailed account of every trade, quote, and order book event. But its value is often trapped behind legacy databases, siloed storage, or slow analytics stacks that inhibit fast, firm-wide insights.
The goal of OneTick Cloud is simple but powerful: make tick analytics cloud-native, real-time, scalable, and developer-friendly—without compromising on performance or accuracy.
Built for Modern Workflows
OneTick Cloud is a full-featured time-series platform, offering access to historical and real-time data via:
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Interactive SQL
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Python / Pandas APIs
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Scheduled batch jobs
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Streaming analytics
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Fully managed cloud storage
What sets it apart is that you don’t need to stand up your own infrastructure to benefit. The platform provides a true SaaS model, where everything—from data ingestion to query execution to compliance-grade surveillance—runs on a highly available, cloud-native backend.
Real-Time + Historical in One Seamless Platform
A common pain point I’ve seen is the disconnect between real-time and historical analytics. Firms often use one tool for streaming and another for deep backtesting. That introduces latency, inconsistency, and high costs.
OneTick Cloud handles both real-time and historical data through a single engine—enabling seamless joins, analytics, and stitching. Whether you're calculating VWAP across multiple venues or testing a new signal across 3 years of futures tick data, OneTick delivers.
Why Clients Are Moving to the Cloud
Across both buy-side and sell-side institutions, the drivers for cloud adoption are clear:
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Elasticity: Burst compute power during earnings season or macro events—without needing to overprovision year-round.
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Accessibility: Global teams can collaborate securely, querying the same data with consistent results.
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Speed to Market: Developers can spin up analytics in days, not months—without waiting on infrastructure buildouts.
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Regulatory Readiness: Surveillance and TCA tools run side-by-side with research, allowing tighter integration between compliance and strategy teams.
Use Cases We’re Seeing in Production
At OneMarketData, we're working with clients to power:
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Alpha research & signal testing on years of L1/L2 data using pandas and Python
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Best execution monitoring and TCA in equities and crypto
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Surveillance for market abuse, spoofing, layering, and insider trading using GenAI integration
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Liquidity analytics across fragmented markets
All of these are being done without deploying hardware—leveraging OneTick Cloud's hosted data and compute layers.
Final Thoughts
Modernizing tick analytics isn’t just a technology upgrade. It’s a strategic transformation—freeing quants, compliance officers, and dev teams to focus on innovation rather than plumbing.
With OneTick Cloud, we're helping our clients make that leap—with the performance and flexibility needed to stay ahead of evolving markets.
If you're still wrangling with legacy market data infrastructure, let's talk. There’s a better way forward.
— Mick
