π The Tactical Truth: What Decades of Data Say About Our 3-Asset Model
Backtest Insights from UPRO, Bitcoin & Gold β Why Tactical Allocation Wins
In the world of investing, there are three unavoidable truths: markets are cyclical, risk is real, and timing matters more than most are willing to admit. That's why we built the Tactical Allocation Modelβa rules-based system that dynamically rotates between three of the most powerful macro assets: UPRO, Bitcoin, and Gold. Each one plays a very specific role in our framework, and each brings with it a unique return profile, risk behavior, and volatility signature.
Today, we're diving deep into the long-term backtest performance of these individual building blocks. We'll look at how each behaves in isolationβand why combining them in a tactical system isn't just smart, it's essential.
π΅ 1. UPRO β The Growth Engine
28.91% Annual Return | Avg Gain: 12.45% | Max Drawdown: -19.75%
UPRO, the 3x leveraged S&P 500 ETF, is the heart of our growth allocation. Designed to triple the daily return of the S&P 500, it brings immense upsideβbut also serious risk.
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Backtest Highlights:
Despite its reputation as a high-risk instrument, our tactical model keeps UPROβs risk surprisingly controlled. The average drawdown is just -4.06%, and losses are cut quickly. Thatβs the power of having firm rules around trend strength, volatility regimes, and macro overlays.
UPROβs biggest win of 27.97% shows that even with leverage, the model doesnβt need moonshot tradesβit needs consistency. With tight exits and strong trend filters, UPRO becomes a disciplined growth engine rather than a gamblerβs bet.
π 2. Bitcoin β The Asymmetric Wild Card
33.85% Annual Return | Avg Gain: 19.96% | Max Drawdown: -20.40%
If UPRO is the engine, Bitcoin is the booster rocket. It brings asymmetric upside and macro-disruption potentialβbut only when used with precision. Thatβs exactly what our model is built for.
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Backtest Highlights:
Whatβs striking here isnβt just the headline return. Itβs the discipline with which the model engages Bitcoin. Trades are rare and selective. The system enters only when volatility conditions are favorable, and it exits fast when macro filters flash red.
Bitcoinβs biggest win was a jaw-dropping 102.44%βa reflection of just how powerful a well-timed allocation can be. But more important is that the biggest loss never exceeded -17.24%, which is virtually unheard of in Bitcoin strategies.
This isnβt buy-and-hold crypto. This is tactically filtered participationβand itβs what makes the risk-reward truly exceptional.
π‘ 3. Gold β The Quiet Defender
11.33% Annual Return | Avg Gain: 3.73% | Max Drawdown: -9.82%
Gold doesnβt grab headlines. But in the Tactical Allocation Model, it serves a quiet, crucial purpose: regime diversification and capital protection. And its backtest shows that reliability.
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Backtest Highlights:
Gold trades more frequently in the model than most expectβnot because itβs always trending, but because it thrives during specific macro conditions: falling real yields, rising uncertainty, and volatility regimes.
Its drawdown profile is the best of the three, with a typical pullback of just -2.07%. This makes gold the ideal counterweight to leveraged equity exposure and asymmetric Bitcoin bets.
Itβs not meant to outperform. Itβs meant to stabilizeβand it does that exceptionally well.
π What Happens When You Combine Them?
Now hereβs the real power of the system: These assets behave differently for a reason. Each thrives under specific macro regimes. And by rotating among themβbased on strict, data-driven signalsβwe can participate in upside while drastically reducing downside.
Our full tactical model averages around +23.8% annualized return over multiple decades, with significantly lower drawdowns than any individual asset on its own. Why?
Because the model doesnβt hold risk blindly. It waits for confirmation from:
Trend strength (MA crossovers, MACD, ADX)
Momentum and relative performance (RSI, ROC, relative to UPRO)
Volatility filters (VIX, GVZ, volatility-of-volatility)
Macro overlays (real yields, liquidity trends, dollar strength)
This disciplined structure avoids catastrophic losses and ensures that capital is only deployed when the probability is in our favor.
π Why Tactical > Passive
Letβs get honest for a second: buy-and-hold worksβ¦ until it doesnβt. Itβs great in bull markets, but brutal in drawdowns. And the bigger your risk exposure (leveraged ETFs, Bitcoin, growth tech), the more devastating those losses become.
Our approach isnβt about predicting the future. Itβs about reactingβobjectivelyβto what the data says right now.
When the model holds UPRO, itβs because all systems are green. When it moves to gold or cash, itβs not fearβitβs signal.
This isnβt emotional investing. This is tactical risk control with a track record.
π§ Final Thoughts: Know Your Tools, Trust Your Signals
Each of our model assetsβUPRO, Bitcoin, and Goldβhas a place. But itβs not about holding all three all the time. Itβs about knowing when to hold whichβand when to step aside.
Thatβs the edge tactical allocation brings.
Thatβs why we built this model.
And thatβs why it continues to outperformβyear after year, decade after decade.
π Want the Live Allocation?
Each week, we update the modelβs positioning and send:
π Current asset allocation
π Trade alerts when the model shifts
π Clear rationale based on the 4-pillar system
π§ Ongoing insight into trend health and macro context
Free subscribers get macro commentary and educational deep dives.
Paid subscribers get the full signalsβso they can act with conviction, not confusion.
π Disclaimer
This article is for informational and educational purposes only and does not constitute investment advice. Past performance is not indicative of future results. Always do your own due diligence before making any investment decisions.
Since Bitcoin or even GLD did not exist, what other instruments do you use to backtest the strategy?
What happens when the GBTC is in a prolonged downtrend like in 2023? What other instrument do you use if any?