The Owl Bundle User Group (OBUG) has been studying and extending methodologies developed by Dr. Ken Long. Using empirical backtesting and characterization studies within the EdgeRater scanning and backtest platform, our goal has been to better understand how market structure, participation, leadership durability, and trading environments influence trading-system performance.
One of the most common challenges traders face is determining which market ideas are actually useful and which are simply interesting stories. Every week, traders are exposed to countless narratives:
"Technology is leading."
"Institutions are accumulating."
"Small caps are breaking out."
"Breadth is improving."
"This sector is attracting money."
The problem is not the lack of information. The problem is determining which observations actually matter. We have increasingly focused our research on a simple question: Can a market observation be tested?
If it cannot be tested, it may still be interesting—but it becomes difficult to determine whether it provides a durable trading advantage.
From Observation to Validation
Many traders begin with an observation.
For example:
Leadership appears to be narrowing.
Certain sectors appear to be strengthening.
Some symbols seem to repeatedly show up on watchlists.
Market conditions appear favorable for trend-following.
These observations may be correct. But they also raise important questions:
Is the observation statistically meaningful?
Has it occurred before?
Does it influence trading outcomes?
Is it persistent or temporary?
Can it help improve decision making?
Rather than immediately accepting an observation as fact, our goal is to transform it into a testable hypothesis.
RL30Slope Z and the Evolution of Research
OBUG began studying Dr. Ken Long's RL30Slope Z indicator. Initially, the focus was on trend acceleration and market participation. However, the research quickly expanded into broader questions:
How does market structure influence trading system performance?
Does market and sector alignment matter?
How should traders adapt to changing environments?
Can recurring participation reveal emerging leadership?
These questions eventually led to the development of several research frameworks, including:
Each began as an observation and evolved into a research project.
For example, OBUG members noticed that certain symbols appeared repeatedly in RL30Slope Z scans over multiple weeks. Rather than assuming this recurring participation was meaningful, we asked: Does recurring participation actually matter?
That question ultimately led to the development of ORPA and subsequent validation studies examining participation persistence and leadership behavior.
Why Validation Matters
One of the most dangerous assumptions traders can make is: "It looks like it should work." Markets often reward ideas that appear counterintuitive and punish ideas that appear obvious. Validation helps separate:
assumptions from evidence
opinions from observations
stories from data
At OBUG, whenever practical, market hypotheses are examined through historical studies, backtesting, and characterization analysis using the EdgeRater platform. The objective is not to predict the future, but to better understand how specific market behaviors have behaved in the past and under what conditions they may be most relevant.
No study can guarantee future success. Markets are adaptive and constantly changing. However, validation can help traders develop greater confidence in the behaviors they choose to monitor and reduce reliance on intuition alone.
Building Evidence-Based Decision Frameworks
The ultimate goal of research is not prediction. It is better decision making. By studying market structure, participation, leadership, and trading environments, we seek to develop evidence-based frameworks that help traders become more selective, adaptive, and context-aware.
Looking Forward
The markets continue to evolve. Leadership changes. Participation shifts. Volatility regimes emerge and disappear. As these changes occur, new questions naturally arise. The challenge is not simply finding answers. The challenge is determining which questions are worth testing. That philosophy continues to guide our work inside OBUG. Rather than accepting market narratives at face value, we seek to ask: Can this observation be validated? Because sometimes the most valuable edge in trading is not having more opinions. It is having greater confidence in which ideas deserve your attention in the first place.
If you are interested in moving beyond market opinions and exploring evidence-based trading research, we invite you to learn more about the Owl Bundle User Group. Each week OBUG members participate in studies involving market structure, participation, leadership dynamics, backtesting, and trading-system development.