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Target Date Fund Case Study Executive summary

How Bill Outperformed His Target Date Fund by $443K (114%)

Using a signal-based tactical approach to turn a standard retirement path into a high-growth engine with less risk.
Portfolio Comparison After 15 Years
$390k
Target Date Fund
$833k
Aggressive Portfolio
The Strategy
80% QQQ / 20% SPY
The Guardrail
Shielded 48%
The Result
+$443k Gains
The Safety Net
-9% Max Loss
The WavRyder signals gave Bill the confidence to stay invested during good times and the discipline to step aside during bad ones. He retired with over double what he expected—and slept better along the way.

Case Study: How Bill Outperformed His Target Date Fund by $443,013

Using a signal-based tactical approach to turn a standard retirement path into a high-growth engine with less risk.

$389k
TDF

$832k
WavRyder

The Strategy

Tactical 80/20

The Guardrail

Shielded 48%

The Result

+$443k Gains

The Safety Net

-9% Max Loss

The Challenge

Bill was 15 years from retirement with his savings locked in a target-date fund. While convenient, he watched it sink during downturns and lag during rallies. He needed a smarter way to grow his nest egg without the sleepless nights.

The Solution

WavRyder's tactical signals helped Bill shift between aggressive growth and defensive positions based on market conditions. He stayed 80% invested during uptrends and protected capital during storms—capturing gains while avoiding major losses.

The Numbers

Over 15 years, Bill's signal-based approach delivered superior returns with dramatically reduced risk:

  • Final Portfolio Value: $832,013 vs $389,000 (TDF)
  • Maximum Drawdown: -9% vs -48% (TDF)
  • Total Outperformance: $443,013

"The WavRyder signals gave me the confidence to stay invested during good times and the discipline to step aside during bad ones. I'm retiring with nearly double what I expected—and I slept better along the way."

— Bill, Retired Engineer

Is your retirement strategy adapting as fast as the market?

Still relying on a glide path that never adapts—this close to retirement?

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Every day, we publish the same market-strength signal featured in this case study—so investors can make informed decisions rather than react after losses.