Robuxio Equities Launch Call

One Allocation. Three Return Engines.

Robuxio Equities offers three different forms of exposure that would often require multiple different vehicles, in one exchange-traded instrument. This allows every return sleeve to reuse the same capital.

Six Complementary Portfolio Sleeves

Each sleeve is a diversified portfolio of its own. Across all six, the portfolio runs roughly 50 signal families (individual trading ideas), each further diversified through different exits and parameter variations into nearly 200 leaf strategies. Sleeve exposures are dynamic rather than fixed: by average gross exposure, tactical allocation is the largest at roughly 34%, followed by equity momentum (23%), equity mean reversion (15%), short-term tactical (11%), crisis hedging (9%) and real assets trend (7%), all drawing on one combined capital pool. Crisis hedging stays deliberately small because its convex volatility instruments deliver a large impact from a small allocation.

Sleeve 1 of 6

Equity Mean Reversion

Buys short-term oversold conditions, expecting a snap-back within days.

Systematically identifies extreme short-term weakness across equities and bonds and buys into it, exploiting the tendency of prices to snap back after aggressive drops. Entry signals are gated by longer-term trend filters to avoid catching falling knives. The sleeve contributes most when volatility is elevated, as in 2020, early 2022 and the 2025 spring selloff.

Universe

US index ETFs, bond ETFs, sector ETFs, S&P 500 stocks

Holding period

One to a few days

Signal families

5

Leaf strategies

~30

Sleeve 2 of 6

Equity Momentum

Assets that have been rising tend to continue rising. This sleeve catches those trends.

Follows intermediate-term price trends and relative strength across indices, sectors and individual stocks using multiple complementary momentum approaches. It is the backbone of the portfolio in rising markets and steps back when momentum leaves the market.

Universe

US index ETFs, sector ETFs, S&P 500 stocks, large-cap stocks

Holding period

Days to weeks

Signal families

6

Leaf strategies

~15

Sleeve 3 of 6

Tactical Allocation

Widens the lens to the global opportunity set, adding a non-correlated source of returns.

Rotates across countries, sectors, factors and asset classes based on momentum, relative strength and volatility regime signals. Includes equity and bond rebalancing, strategies that detect the early stages of recovery after significant drawdowns, and digital asset trend positions.

Universe

Country ETFs (16 markets), sector ETFs (11), bonds, commodities (gold, silver, oil), emerging markets, value and growth factors, digital assets

Holding period

Days to months

Signal families

10

Leaf strategies

~35

Sleeve 4 of 6

Real Assets Trend

A CTA-style trend program on commodities, uncorrelated to stock beta.

Trend-following on real assets using breakout and moving average systems, with volatility-targeting overlays to stabilize exposure in volatile commodity regimes. Long sideways stretches are normal for trend-following; the payoff arrives when inflation or commodity volatility kicks in, as it did on gold in 2025.

Universe

Gold, oil and energy futures ETFs

Holding period

Weeks to months

Signal families

3

Leaf strategies

~5

Sleeve 5 of 6

Short-Term Tactical

The largest sleeve by strategy count. The edge is the ensemble, not any single signal.

Harvests short-term alpha from relative strength, mean reversion, regime-conditional, calendar and breadth patterns. Roughly 15 distinct signal ideas applied across many instruments and parameter sets. Because positions are held for hours rather than weeks, it does not need big market moves to contribute, which is exactly what carried it through the low-volatility stretches of 2022.

Universe

US index and sector ETFs, large-caps, emerging market and international ETFs

Holding period

Sub-day to one day

Signal families

~15

Leaf strategies

75+

Sleeve 6 of 6

Crisis Hedging

Insurance that activates only when stress conditions are present.

Protective strategies that profit during market stress: long volatility positions, selective equity shorts in weak sectors and overextended rallies, and defensive event positioning. Activated only when elevated volatility, deteriorating breadth or adverse trend structure is detected; dormant during calm markets to minimize cost. Like any insurance, it bleeds slightly in quiet periods and pays off in size when stress arrives. Unlike most tail-hedging programs, no options are used: volatility exposure comes through exchange-traded VIX instruments, so the whole portfolio holds nothing but stocks and ETFs.

Universe

Volatility instruments, US index ETFs, sector, country and EM ETFs, individual stocks

Holding period

Days to weeks

Signal families

~10

Leaf strategies

~35

Different Engines For Different Regimes

The portfolio is not built around one market view. Each regime has a primary return driver, so the question is never whether the market cooperates, but which sleeve carries the load.

Low Correlation Between Sleeves

The backbone pair, momentum and mean reversion, is barely correlated at 0.16. Real assets trend sits near 0.1 to the equity sleeves, and crisis hedging is negatively correlated to SPY at -0.37, which is exactly the point: it earns when everything else is under pressure.

Strict Risk Management

Diversification is the first layer, but sizing and portfolio limits are enforced systematically at every level of the portfolio.

1. 1

   Volatility targeting on the asset, model and sleeve level: more volatile exposures are cut back by sizing.

2. 2

   Maximum exposure per single stock.

3. 3

   Maximum exposure per single ETF.

4. 4

   Maximum exposure per portfolio sleeve, so no single return stream can dominate.

5. 5

   Maximum overall gross and net exposure, plus maximum portfolio leverage.

Adaptive Market Exposure

Net beta-adjusted exposure averages roughly 55% of SPY and flexes with market conditions. Net exposure typically runs between 30 and 90%, with gross exposure around 90 to 100%. Leverage is normally below 1x, with a historical maximum under 1.5x.

Behaviour In Market Drawdowns

Across the five largest SPY drawdowns since 2008, portfolio drawdowns stayed shallow, with a correlation to SPY drawdowns of just 0.1. In the COVID crash, momentum took the first hit, then hedging, mean reversion and real assets took over, and the portfolio finished the SPY drawdown window ahead.

One honest caveat on the 2008 window: the portfolio was not trading through the global financial crisis, and several of the volatility instruments the crisis-hedging sleeve uses today did not exist yet. The modeled 2008 drawdown is therefore shown without them, even though they would likely have made it shallower, to avoid flattering the backtest with instruments that were not tradable at the time.

Getting out of drawdowns quickly, and keeping them shallow, is the actual secret behind long-term compounding: capital that is not deep underwater can compound from a higher base when the recovery starts.

Realistic Expectations

The portfolio targets roughly 20% CAGR after fees with a maximum drawdown around 15%, with typical drawdowns closer to 10 to 12%. It is built for robustness across the full cycle, but there will be periods, from days to months, where it gives back some of its gains.

How Strategies Are Designed

Every model starts idea-first: from a documented market edge, often out of published research, so its expected behaviour is known before a single parameter is fit. That expectation is what each strategy is later judged against.

Historical Performance

Backtested performance, January 2018 to June 2026, net of modeled costs including fees and slippage, matching the period shown in the chart below. The results mix in-sample and out-of-sample periods: many models carry three to five years of out-of-sample history, and the portfolio's models have been traded live on a seven-figure account since Q3 2024, at different volatility targeting and sleeve weights than the ETI runs. Longer backtests reach back to 2008, and the monthly return table below shows that full history.

Past performance is not indicative of future results.

Built For Institutional Size

The tradable universe is deliberately restricted to S&P 500 stocks and the 20 to 25 most liquid US ETFs, so the product can scale beyond 100 million in AUM without significant changes to the models.

Most trades execute in the opening and closing auctions, complemented by limit orders through the day. Capacity constraints are estimated as a fraction of the volume traded in those auctions at each price level, informed by the team's experience running an eight-figure systematic account. Costs, fees and unfilled orders are monitored daily, and the smarter order-routing already built for far less liquid digital asset markets can be deployed if execution quality ever calls for it.

An Exchange Traded Instrument With Daily Liquidity

The strategy is delivered through one listed security: an ETI in the form of an Actively Managed Certificate, listed on Börse Stuttgart (EUWAX) under its own ISIN.

Key Dates

The subscription window opened on July 16. Buying during the window means entering at the issue price of EUR 1,000 per unit with exposure from day one, without facing the initial trading volatility on the exchange. On August 10 the portfolio starts trading fully automated, and after launch the ETI trades daily like any listed security.