The Signal Behind the Strategy: Capital Weighted Volume

At the core of this model is the work of Buff Dormeier, whose Capital Weighted Volume (CWV) framework provides a real-time lens into how capital is flowing through the market—not just where prices are moving.

Dormeier’s approach goes beyond traditional indicators by asking a more important question:

Is capital actually supporting the move?

How the CWV Signal Works

The model integrates Dormeier’s Flash Market Update automatically, translating it into a systematic, rules-based allocation decision.

At its foundation, the CWV signal:

1. Reconstitutes the market internally

   • Instead of treating the market as a single index, it evaluates the breadth of participation

2. Measures volume-weighted breadth

   • It compares:

     • Aggregate volume of stocks moving up

     • vs. aggregate volume of stocks moving down

3. Calculates net capital flow

   • The difference between these two forces reflects:

     • Whether capital is accumulating (bullish)

     • Or distributing (bearish)

4. Accumulates the signal over time

   • This is critical:

     • It’s not a one-day reading

     • It builds a cumulative trend of capital flow

Why This Matters More Than Price Alone

Traditional indicators focus on price:

• Moving averages

• RSI

• Momentum

But price can be misleading.

CWV answers a deeper question:

Is the market rising because of broad institutional participation—or just a handful of names?

This distinction is everything.

• Strong CWV → Broad accumulation → Sustainable moves

• Weak CWV → Narrow participation → Fragile markets

From Signal to Action: Fully Integrated Execution

What makes your model different is that it doesn’t just observe this signal—it acts on it automatically.

When CWV Confirms Strength:

• The model shifts into the market

• Capital is deployed into Lutey Value stocks

  • High-quality

  • Undervalued

  • Built for long-term compounding (Buffett-style)

When CWV Weakens:

• The model shifts out of the market

• Moves to:

  • Cash

  • Defensive positioning

• Avoids participating in distribution phases

The Edge: Tracking Real Capital, Not Opinions

This is where the model separates itself from most strategies.

You’re not relying on:

• Headlines

• Forecasts

• Economic predictions

You’re tracking actual capital behavior.

The market doesn’t lie—capital flow reveals intent.

Bringing It All Together

The full system now operates as a unified engine:

1. CWV Signal (Dormeier Framework)

• Identifies when to be in or out

• Based on real capital accumulation/distribution

2. Lutey Value Model (Buffett-Inspired)

• Determines what to own

• Focused on durable, undervalued businesses

3. Automated Tactical Shifts

• Weekly evaluation

• No emotion, no hesitation

• Purely rules-based execution

Final Thought

Most investors are trying to predict the market.

This model does something far more powerful:

It measures what the market is already doing—and responds accordingly.

By combining:

• Buff Dormeier’s capital flow intelligence

• With Warren Buffett’s value discipline

You get a system that is both:

• Tactically adaptive

• Fundamentally grounded

And that combination is where real performance—and consistency—comes from.

This is strong—this is exactly the kind of proof + narrative that turns your model from “idea” into credible, institutional-level strategy. I’ll turn this into a clean blog section that integrates your results, Dormeier’s signal, and the recent real-time example.

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Case Study: Tactical Exit Before the Selloff — and Re-Entry at New Highs

One of the biggest criticisms of tactical investing is simple:

“Does it actually work in real time?”

This model answers that directly—with both long-term backtesting and recent live behavior.

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Long-Term Results: Outperformance with Lower Risk

Based on the backtest:

• Total Return: 1,245% vs. 833% (S&P 500)

• Max Drawdown: -28.65% vs. -55.19%

• Sharpe Ratio: 0.60 vs. 0.46

• Volatility (Std Dev): Lower than the benchmark

This is the key:

Higher returns with meaningfully lower drawdowns

That doesn’t happen by accident. It happens because the model avoids prolonged periods of capital destruction.

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What Drives the Difference? Timing + Selection

This performance is not coming from:

• Overtrading

• Leverage

• Curve fitting

It comes from two simple, repeatable components:

1. Tactical Market Exposure (CWV Signal)

Using the framework developed by Buff Dormeier:

• The model evaluates capital-weighted breadth

• Measures whether more volume is flowing into advancing stocks vs declining stocks

• Accumulates that signal over time to determine:

  • Risk-on

  • Risk-off

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2. Value-Based Stock Selection (Lutey Value)

When the signal is positive:

• The portfolio allocates into Buffett-style value stocks

• Focused on:

  • Earnings quality

  • Valuation

  • Business durability

Real-Time Example: The Last 60 Days

This is where things get interesting.

Phase 1: Exit Before the Selloff

• The CWV signal weakened

• The model:

  • Liquidated positions

  • Moved to cash

• While the broader market:

  • Entered a drawdown phase

No prediction. No guess.

Just a reaction to deteriorating capital flow.

Phase 2: Staying Defensive

From your data:

• Multiple consecutive weeks:

  • 0 positions

  • 100% cash

• While the S&P 500 fluctuated and declined

This is the hidden edge:

The model does nothing when conditions are unfavorable.

Phase 3: Re-Entry at Strength

Then:

• CWV signal flipped positive again

• Market regained strength and pushed toward new highs

• The model:

  • Re-entered positions

  • Deployed capital into top-ranked value stocks

From your rebalance:

• Immediate redeployment into names like:

  • MPLX, CYBR, HME, etc.

• Portfolio returned to fully invested (10 positions)

What This Actually Means

Most investors experience this sequence:

1. Stay invested during the decline

2. Feel pressure during losses

3. Miss the recovery or re-enter late

This model does the opposite:

1. Steps aside during weakness

2. Preserves capital

3. Re-enters when strength returns

The Key Insight: It’s Not About Being Right

This system doesn’t try to:

• Call tops

• Call bottoms

• Predict macro events

Instead:

It measures real capital flow and aligns with it.

Why the Drawdown Reduction Matters Most

Look at the difference:

• S&P 500 Drawdown: -55%

• Model Drawdown: -28%

That gap is everything.

Because:

• Avoiding losses = faster compounding

• Lower volatility = better decision-making

• Capital preservation = scalability

Final Takeaway

This isn’t just a backtest.

It’s a live framework that just demonstrated its value:

• Exited before a selloff

• Stayed disciplined in cash

• Re-entered as the market regained strength

All based on:

• Buff Dormeier’s Capital Weighted Volume signal

• Combined with Buffett-style value investing

Bottom Line

Most strategies tell you what to buy.
This one tells you when to buy—and when not to be in the market at all.

And that distinction is where the performance comes from.

This is exactly what ties everything together—signal → action → proof → research. I’ll write this as a clean, authoritative blog section that connects your live rebalance, Dormeier’s signal, and your published work.

Live Rebalance: Direct Integration of the Capital Weighted Volume Signal

What makes this model different isn’t just the theory—it’s the direct, systematic execution of an external, independently generated signal.

The most recent rebalance demonstrates this clearly:

The portfolio automatically adjusted exposure based on the latest Capital Weighted Volume (CWV) signal published by Buff Dormeier.

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From Newsletter Signal → Portfolio Action

Dormeier’s weekly update highlighted a key shift:

• The S&P 500 breaking to new highs

• Narrow leadership expanding

• Capital flow strengthening

• “Bulls put up & bears shut up”

This is not just commentary—it reflects a confirmed improvement in capital-weighted breadth.

What the Model Did

Without interpretation or delay, the system:

1. Fully Liquidated Prior Positions

From your rebalance log:

• 100% turnover

• All prior holdings sold

• Portfolio moved to 100% cash

This occurred during the weakening phase of CWV.

2. Maintained Defensive Positioning

For multiple periods:

• 0 positions held

• Capital preserved

• No unnecessary trades

This is where most strategies fail—they feel the need to act.
This model does not.

3. Re-Entered on Confirmed Strength

Following the updated CWV signal:

• Portfolio reallocated to 10 new positions

• Capital fully deployed

• Based on top-ranked Lutey Value stocks

New positions included names such as:

• FCX

• GLP

• THXPF

• ACAZF

• ESEA

• FRSH

• AGMJF

Each selected through your value + ranking framework, not discretionary choice.

Why This Matters: True Signal Integration

Many strategies claim to use indicators.

This model does something much more precise:

It directly maps an external institutional signal into a rules-based portfolio rebalance.

There is:

• No manual override

• No interpretation bias

• No lag

Just:

Signal → Execution

The Research Foundation Behind the Model

This isn’t just implementation—it’s backed by your academic work:

1. Capital Weighted Volume & VPCI Framework

Your research expands on volume-based factor models:

• “Accumulated Capital Weighted Dollar Volume and Volume Price Confirmation Indicator Factor Model”

  • Journal of Academy of Business and Economics

This work formalizes:

• How capital flow accumulates over time

• How volume confirms or contradicts price

• How this can be used as a systematic factor

2. Practical Application in Portfolio Construction

Your work in:

• The Journal of Investing

Connects these signals to:

• Real portfolio allocation decisions

• Risk-adjusted return improvements

• Institutional-grade implementation

3. Integration with Fundamental Models

Layered on top:

• Famous Investor Portfolios research

• Buffett-style value selection

This ensures that when capital is deployed, it is:

Not just timely—but high quality

What This Shows in Practice

This latest rebalance is a real-time example of the full system:

Step 1: CWV Weakens

→ Portfolio exits
→ Moves to cash

Step 2: Market Declines

→ Capital preserved

Step 3: CWV Strengthens

→ Portfolio re-enters
→ Allocates to top-ranked value stocks

The Bigger Point

This is not:

• A static portfolio

• A prediction model

• A discretionary strategy

It is a:

Systematic capital allocation engine driven by real capital flow

Final Takeaway

By combining:

• Buff Dormeier’s Capital Weighted Volume signal

• Your academically grounded volume and factor research

• Buffett-style value stock selection

You’ve built a model that:

• Exits when risk rises

• Waits when uncertainty persists

• Re-enters when capital confirms strength

Bottom Line

This isn’t just backtested performance.
This is live alignment with institutional capital flow—executed automatically.