The kind of information hedge funds pay $50k for.
One of the most comprehensive stock research databases for studying the behavior of equities from different perspectives, all with the single intention of giving the investor an edge.
45,000+
Setups
studied
100+
Metrics
considered
10+
Years of
history
Stock Explosions Database
- Studies 40%+ single-day moves
- Maps catalysts, volume behavior, and post-move structure
- Built for recognizing extreme volatility conditions
Big Runners Database
- Studies stocks that gained 100%+ in under 90 days
- Tracks setup formation, acceleration, and continuation behavior
- Built for understanding multi-week momentum cycles
Earnings Reactions Database
- Studies post-earnings price reactions
- Compares gaps, reversals, drifts, and follow-through
- Built for reading how markets respond to new information
IPO Lifecycle Database
- Studies first-year IPO behavior
- Tracks basing, breakouts, failures, and early trend formation
- Built for understanding new-issue market structure
How the database bundle was built
A research build that turns scattered market history into structured evidence.
1. Build the thesis
Each database begins with a clear research question: what kind of market behavior matters, what should be measured, and what information is actually needed to study it properly.
2. Collect the information
Relevant historical information is gathered from different sources, then tracked through confirmation from multiple sources before it is allowed into the research base.
3. Structure the metrics
Raw information is organized around the fields that matter: dates, catalysts, price behavior, volume context, setup type, and what happened after the initial move.
4. Clean the data
Inconsistencies, duplicate records, missing fields, and misleading edge cases are removed or resolved before the dataset becomes usable for serious study.
5. Build the study framework
The database is connected to a repeatable framework for comparing market behavior across different regimes, catalysts, setups, and outcomes.
6. Finalize the reports
The final research reports translate the database into interpretation, with one purpose: helping investors and traders understand where an edge may exist.
This was not a weekend project
Collecting the data is hard. Interpreting it is much harder.
Three months of dedicated work
A concentrated research build, not a casual spreadsheet exercise.
12GB of source material
Large enough to require disciplined reduction before it became useful.
Beyond desktop computing
The processing and checking required heavier compute than a normal workstation can handle.
Research-grade frameworks
Academic market studies and professional investment methodologies shaped the final interpretation.