Catalyst 300 cover art

Catalyst 300 Strategy Overview

Results over the full published history, 2003 to September 2026. Net of trading friction.
CAGR40.9%
Maximum drawdown-27.2%
MAR ratio1.50
History23 years (281 months)

Catalyst 300 is Catalyst with one change: when the strategy holds technology and Smart Leverage is deployed, it holds TQQQ, a 3x Nasdaq-100 fund, in place of QQQ. Every other rule is identical. Same growth axis, same breakeven inflation axis, same six-cell allocation table, same energy circuit breaker, same drift bands.

It produces the highest annualized return of any strategy published by Dual Momentum Systems, and the deepest maximum drawdown of the three Catalyst variants. Both of those are true at once, and this page spends most of its length on the second one, because the first is the part nobody needs help noticing.

The regime logic and the allocation table live on the Catalyst page.

What the 300 means

The name is the maximum notional exposure when leverage is deployed. Catalyst holds 100% technology in its Goldilocks state, so substituting a 3x fund takes that to 300%.

In the split state it is lower. A cooling reflation month holds 50% energy and 50% technology, and leverage substitutes only the technology leg, so the month holds 50% XLE alongside 50% TQQQ for 200% total notional.

How Smart Leverage decides

The module's reference ticker is QQQ rather than U.S. large cap, because the position being substituted is the Nasdaq-100.

Dormant. Nothing happens. Catalyst 300 holds exactly what Catalyst holds.

Armed. QQQ is 10% or more below its all-time high.

Deployed. From armed, leverage deploys once QQQ's momentum has turned back up and the strategy's own allocation actually contains technology. If the regime calls for energy, real assets or tail-risk convexity, there is no technology position to substitute.

The arm condition is looser than it sounds

The reference is the all-time high, not a rolling or recent high. QQQ sat more than 10% below its March 2000 peak continuously from September 2000 to June 2014, so for nearly fourteen years of a twenty-three year record the arm condition was permanently satisfied and deployment was gated by the momentum test alone. Deployments in that window could occur with QQQ within a few percent of a recent high.

This was tested against the alternative at the 2x tier, on the earlier version of Catalyst's rules, and kept deliberately: rolling reference windows of 24, 36, 48 and 60 months all produced about 29.9% annualized against 33.5% for the all-time reference, at identical maximum drawdown. But it matters more at 3x than at 2x. If you are picturing a strategy that only reaches for a 3x fund after a serious decline, that is not what the historical record describes for most of its length.

The exits

  • Momentum turns. QQQ's momentum measure rolls over.
  • The regime changes away from technology. Any move to a cell with no technology in it exits leverage entirely.
  • The 13-month cap. No deployment runs longer than 13 consecutive months, set at the long-term capital gains boundary.

The cap does more work at 3x. A leveraged fund tracks a daily multiple of its index, so its return over a long holding period depends on the path the index took and not only where it ended. Choppy, high-volatility markets erode a 3x position faster than a 2x one, and the Nasdaq-100 is not a low-volatility index. Capping every deployment at 13 months bounds that exposure by construction.

The regime-change exit is where Catalyst differs from Global Navigator 300, which carries a live deployment through a regional rotation. Catalyst's cells are genuinely different assets, so a cell change is itself an exit signal. Carrying a deployment through a regime change was tested at the 2x tier on the earlier rules and produced about 25.3% annualized at a -32.6% maximum drawdown, against 33.5% at -19.5% for exiting.

What 3x actually costs

May 2003 through September 2026, net of trading friction:

CAGRMax DrawdownUlcer IndexUPI
Catalyst+24.5%-14.4%4.485.10
Catalyst 200+32.8%-17.9%4.746.57
Catalyst 300+40.9%-27.2%5.656.96
S&P 500+11.3%-51.0%11.720.82

Read the risk columns, not just the CAGR column. They do not tell the same story.

UPI divides return above cash by the Ulcer Index, which weighs the depth and duration of every drawdown in the record. It rises with each step of leverage, and Catalyst 300 has the highest UPI of the three. Most of that improvement arrives with the first step, from unleveraged to 2x; the second step adds comparatively little.

Maximum drawdown, the single worst peak-to-trough decline, moves the other way. The second step of leverage deepens it far more than the first did.

Put together, Catalyst 300's drawdowns have been deep but comparatively short-lived. On a measure that counts time spent underwater it looks efficient, and on a measure that counts the worst moment it looks expensive. Both readings come from the same record.

Which one matters more depends on the investor. Someone with a long horizon, a genuinely satellite allocation and the temperament to sit through a drawdown well past 25% is being compensated for it. Someone who would sell partway through that drawdown never collects the UPI the table shows. Choosing it on the strength of the headline return without having looked at the drawdown column beside it is choosing it for the wrong reason.

The concentration has not changed

Catalyst holds one or two positions and no cash sleeve, by design, because the regime call has already answered the question of what to own. Catalyst 300 takes that same concentrated position and, during a deployment, triples it. There are stretches where the entire portfolio is a single 3x Nasdaq fund.

The energy circuit breaker still applies, unchanged, to all three variants. It has never triggered, and it does not protect the technology position in any case.

Who it is for

Catalyst 300 suits an investor who already holds and understands base Catalyst, treats it as a satellite rather than a core, has a long horizon, and has thought concretely about how they would behave during a drawdown well past 25% rather than assuming they would be fine.

It is a poor fit if any of the following are true. You would not hold base Catalyst on its own merits. You have not held a leveraged position through a drawdown before. You need a long backtest history. You are investing in a taxable account and are sensitive to short-term gains. Or you are drawn to the headline return without having read the Max Drawdown column beside it.

Catalyst 200 takes the first step of leverage without the second: a lower return and a somewhat lower UPI, with a much shallower worst decline.

A note on the record

Catalyst's history begins in 2003, not 1980, because the five-year breakeven inflation rate it depends on did not exist before then and no honest reconstruction is possible. Twenty-three years is a shorter record than most strategies on this site and contains fewer distinct macro regimes than a forty-six year one would.

That matters more for the leveraged variants than the base. A shorter record means fewer observations of the specific conditions where 3x leverage does the most damage, and the deepest drawdown in a sample is a lower bound on what is possible rather than an estimate of it. The same caution applies to UPI: that this record's deep drawdowns were short-lived says nothing about how long the next one lasts.

The base strategy in brief

Catalyst reads two axes each month end. Growth, from U.S. large-cap equities against their eight-month moving average. And inflation, from the five-year breakeven rate, asked as two separate questions: is it above the Fed's 2% target, and is it higher than three months ago. The resulting cell selects the holding, from energy in reflation through technology in Goldilocks to a three-asset real-asset sleeve in stagflation and tail-risk convexity in disinflation.

The full allocation table, the circuit breaker and the attribution to David Varadi's Inflation Compass are on the Catalyst strategy page.


Past performance, including backtested results, is not indicative of future results. Backtested performance is hypothetical, does not reflect actual trading, and benefits from hindsight in the selection of strategy rules. Portions of the long-term history rely on reconstructed proxy data for funds that did not exist for the full period. Leveraged ETFs carry risks beyond those of their unleveraged counterparts, including the effect of daily rebalancing on returns over holding periods longer than one day. A 3x fund can lose value over an extended holding period even when its underlying index is flat. Investors should carefully consider their risk tolerance and consult with a financial advisor.

For the latest details, visit www.DualMomentumSystems.com

Performance in detail

Growth of $10,000 (log scale)

Drawdown from previous high

Calendar-year returns

Selected range May 2003 to Sep 2026

PortfolioCAGRMax DDUlcerUPISortinoMAR
Catalyst 30040.9%-27.2%5.656.963.461.50
S&P 50011.3%-51.0%11.720.821.260.22
60/408.1%-32.3%6.481.001.390.25

What the record shows

From May 2003 through Sep 2026, Catalyst 300 compounded at 40.9% a year after trading costs. $10,000 invested at the start grew to about $30,817,779.

That is 29.7 points a year more than the S&P 500, its default benchmark, over the same months, and it out-returned the S&P 500 in all 3 decades in the record.

Its deepest decline was 27.2%, from a peak in Aug 2020 to a low in Oct 2020, and it was back to its old high by Dec 2020.

Return is only half the picture. The Ulcer Performance Index measures return against the depth and length of drawdowns, and on it Catalyst 300 scores 6.96, ahead of the S&P 500 at 0.82.

In the 91 months the S&P 500 fell, Catalyst 300 still made money in 36% of them.

Return by decade

Annual return2000s*2010s2020s*
Catalyst 300+44.5%+34.8%+46.9%
S&P 500+5.0%+12.9%+15.3%
60/40+5.1%+9.4%+9.4%

* Partial decade, annualized over the months available.

Through the hard stretches

Total return over each period, start of the first month to the end of the last.

PeriodCAT300S&P 50060/40
Global financial crisisNov 2007 to Feb 2009+1.9%-51.0%-32.3%
COVID crashFeb 2020 to Mar 2020+21.8%-19.6%-11.9%
2022 rate shockJan 2022 to Dec 2022+21.7%-18.2%-15.9%

How it behaves month to month

Since May 2003Worst 12 monthsPositive monthsPositive when S&P 500 fellCorrelation to S&P 500
Catalyst 300-12.1%66%36%0.38
60/40-27.5%68%8%0.98

Every figure is net of trading costs and computed from the same monthly data as the rest of the site, over the months all the portfolios shown have in common (May 2003 to Sep 2026). Returns before an ETF's launch come from a matching index, as explained in where the data comes from. Backtests are hypothetical and are not a promise of future results.