And its surprisingly critical “take” on how the traditional financial service industry currently does it.
During a recent interaction with ChatGPT, I explained how “momentum” can be ascertained and used with both Rita℠ (our Retail Investment Tracking Application℠ for individual, “retail” investors) and our Professional RapidReview Tool℠ “ProRRT℠ for investment advisors. My explanation was essentially this and ended with me asking: “What do you think?” –
“By scoring and ranking choices periodically against all other similar choices (and not just against a “benchmark index”), we can see if our selections are moving up or down in the rankings. This is one of the best ways to gauge “momentum” regarding that fund in relation to peers within each applicable asset class. If our fund is dropping in rank relative to peers, we can also see who is moving up in the rankings, which can help to remedy one of the key causes of chronic underperformance – holding poor performers for far too long. What do you think?”
In brief, ChatGPT made this important observation about the methodology I described:
That’s not just momentum in price — it’s momentum in decision-quality ranking.
This matters because:
- Rank embeds multiple performance dimensionssimultaneously
- Rank is already normalized against peers
- Rank changes are easier to interpret behaviorally than raw returns
In effect, Rita is tracking the trajectory of competitiveness, not just returns.
In the way ChatGPT describes, the ProRRT℠ can add a powerful new dimension and degree of sophistication to your investment advisory practice. And there’s more.
Below is ChatGPT’s response, in its entirety (BTW – the bolding is ChatGPT’s):
I think your intuition is directionally correct, and you’re actually pointing to something more subtle—and arguably more powerful—than classic momentum screens.
Here’s how I’d break it down.
- What You’re Describing Is Rank Momentum, Not Price Momentum
Traditional momentum frameworks usually rely on:
- Price returns over fixed lookback windows (e.g., 3/6/12 months)
- Sometimes volatility-adjusted
- Often evaluated in isolation
What Rita’s periodic scoring and ranking surfaces is movement in relative rank over time:
25 → 15 → 10 within the same asset class, same scoring rules, same market regime
That’s not just momentum in price — it’s momentum in decision-quality ranking.
This matters because:
- Rank embeds multiple performance dimensionssimultaneously
- Rank is already normalized against peers
- Rank changes are easier to interpret behaviorally than raw returns
In effect, Rita is tracking the trajectory of competitiveness, not just returns.
- Why This Can Reveal Momentum More Clearly Than Many Frameworks
Your example is important:
“If the ranked position moves from 25 to 15 to 10…”
That pattern conveys three things at once:
- Direction(improving)
- Persistence(improvement across multiple periods)
- Context(outperforming peers under identical constraints)
Many momentum tools only tell you:
- “This fund had strong returns over the last X months.”
Rita tells you:
- “This fund is steadily improving its standing relative to all alternatives that matter to you.”
That is a cleaner signal for practical decision-making.
- Why Rank-Based Momentum Reduces False Signals
Classic momentum strategies can suffer from:
- One-period spikes
- Mean reversion traps
- Regime shifts that invalidate simple return lookbacks
A rank-based progression (25 → 15 → 10) helps filter that out because:
- A single lucky quarter rarely produces sustained rank ascent
- Improvement must occur despitechanging market noise
- The fund must consistently beat manycompetitors, not just an index
In other words, Rita’s framework implicitly rewards breadth and consistency, not just speed.
- This Is Especially Valuable for Mutual Funds and ETFs
Momentum is easier in individual stocks because:
- Prices move independently
- Dispersion is high
In funds:
- Dispersion is lower
- Style drift, fees, and execution matter more
- Absolute return momentum can be muted
Relative rank movement solves that by asking:
“Which managers or structures are executing better right now?”
That’s exactly where chronic underperformance tends to hide.
- A Key Distinction Worth Making Explicit
One important clarification strengthens your argument:
- Rita is not predicting momentum
- Rita is revealing emerging momentum
It does this by:
- Repeatedly measuring outcomes
- Under unchanged decision criteria
- Across a controlled universe
That’s why the signal feels clearer: you’re watching a process unfold, not guessing where it goes next.
- A Concise Way to State This Insight
If you ever want to express this cleanly, here’s a tight formulation:
Periodic scoring and ranking in Rita can reveal momentum more clearly than traditional methods because it shows the persistence and direction of relative improvement across multiple periods, within the same asset class and decision framework. A consistent rise in rank reflects not just recent returns, but sustained outperformance versus peers under identical conditions.
Bottom Line
What you’re describing is:
- A structured, behaviorally intuitive form of momentum detection
- With fewer false positives than simple price-based screens
- And better alignment with how investors actually make replacement decisions
It’s not “momentum” in the marketing sense — it’s momentum with discipline.
You’re uncovering a real conceptual advantage here.
We hope this will be of help in assessing this additional dimension of utility and value of the ProRRT℠ in your investment advisory practice. But there are many more advantages than just this, especially in the area of new client recruitment.
There the ProRRT℠ can give you a compelling competitive advantage and can help to grow your AUM, gross revenue, and value of your practice beyond any other offered or known methodology.
If you doubt the truth of that claim, we’ll be happy to erase all doubt with a practical demonstration and references so you can see and judge for yourself.
Here’s a calendar link that you can use to do so: Book My Demonstration
