Preserve the context
Keep the source, capture date, and retrieval time with each observation.
Capture, validation & research
Market Data & Research
Preserve observations and their context so comparisons have a useful history.
Actual capture history · Finviz
What can a consistent data history tell us?
A saved example follows SNDK and MU across 22 preferred daily captures, September 8–October 8, 2026. Select a date to inspect its recorded prices and retrieval times, then review a comparison of matching option contracts.
Two companies. A shared timeline.
Recorded stock prices indexed to each company’s first captured value
Make gaps visible
Retain capture attempts and use completed daily runs for consistent comparisons.
Build on the foundation
The options dashboard shows another way to explore saved Finviz observations.
The challenge
Start with a usable foundation.
Detailed market records are difficult to use directly. A useful research process needs observations that are organized, time-aware, and checked before they are compared.
The work
What SOLLUS built.
The IBKR project includes market data capture, raw and enriched datasets, tick and time bars, capture validation, and market-state research. It provides a structured path from individual observations to historical analysis and repeatable research reports.
Capture and preserve
Retain trade and quote observations alongside their timing and source context.
Prepare research datasets
Organize observations into enriched records and bars at defined intervals.
Validate and investigate
Check captured data and produce research artifacts for examining market conditions.
Inside the workflow
From observations to something you can review.
A view of the process
Workflow illustration · Describes the project approach.
Trade & quote records
Detailed observations
Validation & enrichment
Structured datasets
Tick & time bars
Comparable intervals
Research reports
Reviewable findings
How does activity differ across parts of a session?
Which observations are missing from the captured history?
Which conditions deserve closer investigation?
Keep exploring
See another part of the analytics work.
Your data, your questions
Bring a problem you want to understand.
Talk with SOLLUS about building a clearer view of your data or simplifying the work that prepares it.