The Three-Lens Tactical Market Model
Combine monetary liquidity, investor behavior, and momentum
- Difficulty
- Expert
- Time to result
- ~months to results
- Steps
- 7
- Confidence
- 93%
The Three-Lens Tactical Market Model evaluates markets through monetary liquidity, investor liquidity, and momentum. Monetary liquidity covers policy rates, central-bank actions, the monetary base, and money supply. Investor liquidity combines observable behavior—such as asset flows and cash levels—with attitudinal sentiment measures such as put-call ratios and investor surveys. Momentum then tests whether price trends confirm the liquidity and psychology signals. Rather than treating a famous rule such as “don’t fight the Fed” as sufficient, the model combines the lenses into a composite assessment that can guide equity exposure. Its output is not a guaranteed forecast but a disciplined allocation signal grounded in multiple market mechanisms. The framework requires stable definitions, historical testing, and predetermined decision thresholds to prevent discretionary reinterpretation during stressful periods.
Origin
Extracted from Masters in Business, where Liz Ann Sonders explained the tactical model used by Marty Zweig and Avatar Associates.
Core principles
- 01No single indicator reliably captures the state of a market
- 02Monetary conditions influence the liquidity available to financial assets
- 03Investor positioning and attitudes reveal potential buying or selling pressure
- 04Momentum identifies whether price behavior supports the broader thesis
- 05A composite model reduces dependence on intuition or one dramatic signal
How to run it
- 1
Build the monetary-liquidity lens
Track policy rates, central-bank direction, money supply, the monetary base, and other measures of financial liquidity. Convert them into a consistent assessment of whether monetary conditions support or restrain risk assets.
Pro tip Emphasize changes in policy direction as well as absolute policy settings.
Watch out Do not assume monetary policy is the only force driving markets.
- 2
Measure behavioral investor liquidity
Analyze cash levels, fund flows, positioning, and other evidence of what investors are actually doing. Determine whether investors have potential buying power or are already heavily committed.
Pro tip Distinguish persistent allocation shifts from short-lived trading flows.
Watch out Flow data can be revised or distorted by structural changes.
- 3
Measure attitudinal sentiment
Use indicators such as put-call ratios and investor surveys to assess fear, optimism, and crowd conviction. Look for extremes and divergences between attitudes and behavior.
Pro tip Treat sentiment as contextual evidence rather than an automatic reversal signal.
Watch out Crowds can remain optimistic or fearful longer than expected.
- 4
Calculate momentum
Measure short- and intermediate-term trends to determine whether prices confirm the other lenses. Use explicit, repeatable calculations rather than visual impressions alone.
Pro tip Test several horizons but avoid adding redundant indicators.
Watch out Fast momentum signals can create excessive turnover.
- 5
Combine the lenses
Apply predetermined weights or voting rules to create a composite signal. Require the composite to cross a meaningful threshold before changing allocation.
Pro tip Record the rule set before observing the current result.
Watch out Changing weights after seeing an inconvenient signal destroys discipline.
- 6
Translate the signal into exposure
Map composite ranges to defined portfolio actions, such as defensive, neutral, or fully invested equity exposure. Use position limits and transaction controls.
Pro tip Adjust exposure in increments when signals are close to a threshold.
Watch out A model signal does not eliminate drawdown or execution risk.
- 7
Validate across regimes
Backtest and monitor performance across inflationary, deflationary, trending, and volatile markets. Update only when evidence shows a durable structural change.
Pro tip Evaluate turnover, drawdown, and false signals—not just total return.
Watch out Overfitting historical crises can make the model fragile.
In the wild
Sonders recalled that Zweig's tactical firm had been effectively fully invested before the August peak, reduced equity exposure ahead of Black Monday, and began buying the day after the crash. The process considered liquidity, investor conditions, and market trends rather than relying on a single chart or forecast.
→ The firm limited crash exposure and participated in the rebound.
Suppose a central bank begins easing, investor cash balances are elevated, pessimism is extreme, and intermediate momentum turns positive. A committee's predetermined composite rule moves the portfolio from defensive to neutral, then to overweight only if momentum and flows continue improving.
→ Exposure rises systematically without assuming that policy easing alone guarantees gains.
Common mistakes
Reducing the model to the Fed
Monetary conditions are important, but treating them as the entire model ignores investor behavior, fundamentals, and price confirmation.
Using sentiment in isolation
An extreme survey or put-call reading can persist without producing a reversal. It should be interpreted alongside liquidity and momentum.
Rewriting rules during volatility
Changing indicators or thresholds in response to fear turns a repeatable model into discretionary market chasing.
Is it for you?
Best for
It is best for experienced investors or committees managing equity exposure through changing market regimes.
Not ideal for
It is not ideal for passive investors, short data histories, or users unwilling to define and test quantitative rules.
From the transcript
“We basically had monetary liquidity, investor liquidity, and momentum.”
“that's basically sentiment, so measuring direct sentiment in the sense that you're actually looking at asset flows in cash levels that investors will have.”
“And then fift was momentum, which is a lot of those shorter term technical in with the trend that type of those of indicators.”
From the episode
Charles Schwab Liz Ann Sonders: Masters in Business (Audio)