Strategy Library

This hybrid approach uses Treasury inflation-protected securities as a single canary asset to detect rising yield and inflation stress conditions that typically precede equity market weakness. When the canary shows positive momentum, the portfolio selects the top four assets from an eight-position universe spanning equities, real estate, commodities, and bonds using averaged multi-period momentum. Individual asset-level filtering adds a second layer of protection by replacing any selected asset with negative momentum with the best defensive alternative. The dual-layer architecture combining a macro canary signal with individual asset screening has produced some of the strongest risk-adjusted returns in the Keller strategy family. The strategy draws from a well-diversified asset universe that captures opportunities across multiple market environments and economic regimes.

This simplified variant of Hybrid Asset Allocation reduces the investment decision to a binary choice between US equities and the best-performing defensive asset. The same inflation-protected securities canary signal is used to determine the market regime, requiring both the canary and the equity position to show positive averaged momentum before committing to stocks. When either signal turns negative, the portfolio shifts entirely to the stronger of intermediate-term bonds or short-term treasuries. The simplicity of a single risk-on asset makes this strategy exceptionally easy to implement, verify, and maintain in practice. Despite its minimal complexity, the canary-based protection mechanism delivers competitive risk-adjusted performance that rivals more sophisticated multi-asset approaches.

This dual-speed architecture uses a slow thirteen-month SMA ratio for asset selection from a broad twelve-asset risk-on universe while employing a fast 13612W canary signal on four sentinel assets for crash protection. When any canary shows negative momentum, the entire portfolio shifts to an enhanced seven-asset defensive universe that includes bonds, TIPS, commodities, and cash — selecting the top three by SMA ratio, each checked against BIL as a floor. The strategy spends roughly 60% of months in defensive mode due to the sensitive B=1 canary trigger. During risk-on periods, the top six offensive assets receive equal weight, providing broad diversification across global equities, real estate, commodities, and bonds.

This aggressive variant concentrates the risk-on allocation into a single top-ranked asset from a focused four-asset universe (QQQ, VWO, VEA, BND). The same four-asset canary trigger provides crash protection with B=1 sensitivity, switching fully to the enhanced seven-asset defensive universe. The single-asset concentration amplifies both upside and downside during risk-on periods. The defensive side selects top three assets by SMA(13) ratio from bonds, TIPS, commodities, and cash, each checked against BIL. Very high turnover reflects frequent switching between concentrated risk-on and diversified defensive positions.

This remarkably low-turnover strategy maintains a static four-asset allocation across US large-cap and small-cap equities, gold, and commodities, only making a single conditional substitution based on macroeconomic conditions. The defensive switch replaces small-cap equities with short-term treasuries, and it requires both the unemployment rate trend to be rising and equity prices to be below their long-term moving average before activating. This dual-confirmation requirement virtually eliminates false signals and keeps the portfolio fully invested during normal market conditions. Quarterly rebalancing further reduces transaction costs and tax drag, making it one of the most practical strategies for taxable investment accounts. The approach appeals to investors who want minimal portfolio maintenance with a disciplined macro-driven safety valve for severe economic downturns.

This strategy positions itself between Defensive and Hybrid Asset Allocation by using the total bond market as a single canary asset that simultaneously captures both interest rate risk and credit stress signals. When the bond canary shows negative weighted momentum, the entire portfolio shifts to defensive positioning, while individual asset-level screening provides a secondary protection layer during partial stress conditions. The top four assets from an eight-position universe spanning equities, real estate, commodities, and bonds receive equal weight when conditions are favorable. The multi-layer protection architecture ensures that both systemic market risk and individual asset weakness trigger appropriate defensive responses. This approach is particularly resilient because the bond market canary tends to deteriorate before equity markets during most historical crisis episodes.

This strategy introduced the pivotal innovation of using a separate canary universe to detect market stress independently from the assets being selected for investment. Two canary assets representing emerging market equities and broad bonds serve as early warning indicators, with their weighted momentum scores determining how much of the portfolio shifts defensive on a graduated scale. When both canaries are healthy the portfolio invests fully in the best offensive assets by momentum ranking, but deterioration in one or both triggers proportional defensive allocation. The separation of crash detection from asset selection prevents the circularity problem where the same assets drive both the warning signal and the portfolio composition. This architectural innovation has influenced numerous subsequent strategies in the tactical allocation literature.

This foundational dual momentum strategy compares US and international equity markets using twelve-month returns to identify the stronger region, then applies an absolute momentum test to confirm the winner is outperforming risk-free rates. When the winning equity market fails the absolute test, the entire portfolio shifts to aggregate bonds for protection. The elegance lies in combining relative momentum for asset selection with absolute momentum as a bear market filter, a framework that has been backtested to 1974. With approximately one trade per year on average, it is among the lowest-turnover tactical strategies available. The approach is widely regarded as the blueprint for all subsequent dual momentum variations in tactical allocation research.

The flagship Portfoliowise portfolio blends three low-correlated strategies (0.35–0.53 pairwise correlation) to achieve what no single strategy can: double-digit CAGR with under 10% maximum drawdown. The outperformance comes from diversification across fundamentally different momentum and protection approaches. PW-ADM uses regime-adaptive dual momentum — pre-2022 bonds as defense, post-2022 gold/cash/TIP defense adapting to the changed macro regime. PW-Momentum concentrates in the single strongest asset among SPY/QQQ/GLD/IBIT using a TIP canary gate for crash detection. HAA-B provides the stabilizing anchor with its 8-asset universe, TIP canary, and per-asset absolute momentum filter. When one strategy draws down (e.g., PW-MOM in a crypto correction), the others typically hold steady or gain in different assets — this negative correlation during stress periods is the key driver of drawdown compression. The ETF universe spans US equities (SPY, QQQ), international (SCZ, VEA, VWO), alternatives (GLD, IBIT, DBC, VNQ), and defensive bonds (BIL, IEF, TLT, TIP).

The growth-oriented Portfoliowise portfolio blends four high-CAGR strategies with fundamentally different momentum and protection approaches. The outperformance comes from exploiting low cross-strategy correlations — particularly between PAIRED and HAA-S (0.28) which provides the diversification engine. PAIRED rotates among SPY/QQQ/TLT/GLD based on 3-month relative strength with no protection (all assets compete in one pool, including bonds and gold as natural hedges). HAA-S concentrates in SPY with TIP canary gate for fast crash detection. PW-ADM uses regime-adaptive dual momentum — switching between equities and gold/cash/TIP defense based on the post-2022 macro regime. PW-MOM captures the single strongest trend among SPY/QQQ/GLD/IBIT. When one strategy draws down, the others typically offset — PW-MOM's IBIT exposure may decline while PW-ADM holds gold, and PAIRED rotates to TLT. This negative correlation during stress compresses drawdowns while preserving 15% CAGR. ETF universe: US equities (SPY, QQQ), international (SCZ), alternatives (GLD, IBIT, TLT), defensive (BIL, IEF, TIP).

The conservative Portfoliowise portfolio prioritizes capital preservation by blending four research-proven strategies with different protection mechanisms. The outperformance comes from layering uncorrelated defensive triggers: HAA-B's TIP canary detects inflation regime shifts, BAA-B's 4-asset canary (SPY/VWO/VEA/BND) catches broad market weakness, FAA's multi-factor absolute momentum filters individual asset deterioration, and LAA's unemployment macro signal only triggers during genuine economic recession. Each strategy independently decides when to go defensive, using fundamentally different signals — when one protection mechanism fails (as bonds did in 2022), others catch it (HAA-B's TIP canary detected 2022 correctly). The four-way blend achieves under 8% maximum drawdown while maintaining real returns above inflation. ETF universe spans 14 risk-on assets across US equities (SPY, QQQ, IWM, IWD), international (EFA, EEM, VGK, EWJ, VEA, VWO), alternatives (GLD, DBC, VNQ, HYG), and 7 defensive assets (BIL, IEF, SHY, TIP, TLT, LQD, BND).

This multi-style meta portfolio achieves the highest Sharpe ratio in the Portfoliowise family by combining four strategies with genuinely low pairwise correlation (avg 0.34). HAA-B provides canary-gated broad market exposure. DGA offers high-conviction dividend vs growth rotation with multi-layer macro protection. Defense First contributes inverted logic — buying equities when defensive assets weaken — generating signals uncorrelated with conventional momentum. Gold Cross-Asset adds gold regime timing based on joint gold-Treasury momentum states. The four different signal types (canary, multi-layer macro, inverted momentum, cross-asset regime) ensure the portfolio rarely has all components in the same direction simultaneously, delivering exceptional risk-adjusted returns with controlled drawdowns.

This meta portfolio is engineered for maximum risk-adjusted performance with minimal drawdowns. The brute-force optimization across all strategy combinations identified this blend as having the highest Calmar ratio (1.82) and one of the lowest maximum drawdowns (-6.8%) while maintaining double-digit CAGR. Defense First provides genuinely uncorrelated signals through inverted logic. HAA-S delivers simple canary-gated equity exposure. DGA contributes high-conviction growth/dividend rotation with comprehensive macro protection. GPM adds diversification-weighted global allocation with embedded crash protection. The combination of four distinct signal architectures — inverted momentum, canary+absolute, multi-layer macro, and correlation-adjusted scoring — produces a Sharpe ratio of 1.57, the highest of any portfolio in the platform.

Named after Strauss-Howe generational theory's '4th Turning' — a period of institutional crisis and geopolitical upheaval. This portfolio is engineered to thrive during exactly such periods. Brute-force optimization across 192,619 strategy combinations identified this as the blend with the highest Calmar ratio (1.91) that maintains positive returns in both the 2025 tariff shock and the 2026 Iran conflict. HAA-S provides canary-gated equity exposure that exits quickly. TPP adds trend-filtered defensive positioning with a static gold/bond/cash sleeve. DGA captures commodity price spikes from supply chain disruptions and sanctions through its PDBC allocation. Defense First reads defensive asset weakness as an equity buy signal — counter-cyclical positioning that diversifies away from conventional momentum. The four strategies use fundamentally different signal types (canary, trend filter, multi-layer macro, inverted momentum), producing the lowest maximum drawdown (-6.2%) of any portfolio on the platform while delivering double-digit returns.

Designed specifically to profit from the geopolitical volatility of the Trump 2.0 era. Stress-tested against both the 2025 tariff shock (+8.5%) and the 2026 Iran conflict (+1.3%) — positive in both crises while maintaining 14.6% CAGR. PW-Momentum captures flight-to-safety rallies in gold during trade war escalations. DGA rotates into commodities (PDBC) when macro stress signals trigger, profiting from supply-chain disruption and sanctions-driven price spikes. Defense First provides genuinely counter-cyclical equity exposure — buying stocks when defensive assets weaken, generating returns uncorrelated with conventional momentum strategies. This 3-strategy blend achieves the highest CAGR of any meta portfolio (14.6%) while surviving both types of Trump-era shocks: trade policy disruptions and military escalations. The combination exploits the pattern that gold rallies during tariff fears while commodities surge during conflict — two different hedge mechanisms that rarely trigger simultaneously, ensuring broad geopolitical protection.

Adapts Accelerating Dual Momentum to the changing macro regime. Pre-2022, follows the original ADM research with TLT/TIP defense. Post-2022, gold enters as a third momentum competitor and the defensive universe shifts from duration bonds to gold, cash, and inflation-protected bonds. The rationale: geopolitical supply-demand imbalances and persistent fiscal deficits have weakened bonds' traditional protective properties, increasing their correlation with risk assets — as demonstrated by the simultaneous stock and bond selloff in 2022. This regime-aware modification nearly halves the maximum drawdown while improving CAGR.

A concentrated momentum strategy built for the post-2022 macro environment where geopolitical supply-demand imbalances and rising fiscal deficits have increased bond-equity correlations, making traditional fixed-income defense unreliable. Rotates into the single strongest asset among US equities, tech, gold, and digital assets using multi-period momentum. The TIP canary provides fast crash detection — when inflation-protected bonds lose momentum, the portfolio shifts entirely to cash. Gold captures safe-haven flows during geopolitical stress, while IBIT (from 2024) taps into digital asset momentum as a non-correlated return stream.

Based on Glenn (SSRN 2437049). A simple market timing algorithm that switches between US equities (SPY) and long-term treasuries (TLT) monthly on the last day, holding whichever ETF has the greater price ratio over the prior 3 months. The optimal lookback of 3 months maximizes CAGR while keeping trades low. The strategy is always fully invested — when equities decline, treasuries typically rise, providing natural hedging through negative correlation. No cash drag, no explicit protection signal. The rotation mechanism captures equity upside during bull markets and shifts to bonds during stress. Very low turnover with only about 4-5 switches per year.

This expanded variant of Paired Switching ranks nine assets including five equity positions and four defensive alternatives by thirteen-week returns and holds the single highest-performing asset at all times. The broader universe increases the strategy's ability to capture the strongest trending asset across a wider range of market conditions, from aggressive equity rallies to flight-to-safety environments. Natural defensive rotation occurs automatically when bonds, gold, or cash equivalents outperform equities on a thirteen-week basis, without requiring any explicit crash detection mechanism. The concentrated single-asset holding maximizes momentum capture but carries higher tracking error and individual position risk. This approach works best for investors comfortable with concentrated positions who value the simplicity of a pure relative momentum framework applied across a diversified asset menu.

This accelerated variant of dual momentum uses a blended average of one, three, and six-month returns rather than a single twelve-month lookback, allowing it to detect trend changes more quickly than traditional approaches. The strategy compares US large-cap equities against international small-cap stocks and requires the winner to show positive blended momentum before committing capital. When both equity options show negative momentum, the portfolio rotates entirely into long-term treasuries as the sole defensive position. The shorter lookback windows increase responsiveness to market turning points but come with higher turnover. Concentrated TLT exposure during risk-off periods means performance is highly sensitive to interest rate cycles.

An enhanced version of Accelerating Dual Momentum that adds inflation-protected bonds as an alternative defensive asset alongside long-term treasuries. During risk-off periods, the strategy dynamically selects whichever of TLT or TIP delivered better one-month momentum, providing natural adaptation to the prevailing rate and inflation regime. This modification substantially reduces drawdowns in rising-rate environments like 2022, where traditional long bonds suffered historic losses while TIPS held up significantly better. The offensive side remains identical to standard ADM — comparing US large-cap versus international small-cap equities using blended one, three, and six-month momentum. The dual defensive option improves the strategy's risk-adjusted returns without adding complexity to the signal generation process.

This macro-aware strategy uses industrial production data as its primary recession indicator and only activates the trend-following filter during confirmed economic downturns, staying fully invested in US equities during expansions regardless of price action. The dual-condition requirement of both a macro recession signal and prices below the ten-month moving average dramatically reduces the whipsaw losses that plague pure trend-following systems during normal market volatility. When both conditions are met, the portfolio shifts entirely to cash until either the economic or price signal clears. The approach exploits the empirical finding that trend filters add value primarily during recessions while generating unnecessary trading during expansions. This strategy is particularly attractive for long-term investors who recognize that most bear markets coincide with economic contractions and want to avoid the false signals that occur during mid-cycle corrections.

This variant of Growth-Trend Timing uses the unemployment rate as its recession indicator, comparing the three-month average against the twelve-month average to identify deteriorating labor market conditions. The unemployment rate is preferred by many practitioners because it is less subject to data revision than industrial production figures and is widely understood by both professional and individual investors. The trend filter on equity prices is only activated when the unemployment signal confirms economic weakness, keeping the portfolio fully invested during healthy expansions. When both the rising unemployment condition and the negative price trend are present, capital moves entirely to cash for protection. The same core timing signal is employed in the Lethargic Asset Allocation strategy, demonstrating its versatility as a reliable macro indicator across multiple tactical frameworks.

This multi-signal strategy combines three independent indicators spanning price trend, yield curve slope, and industrial production growth to determine equity market positioning. The portfolio holds US equities only when at least two of the three signals are positive, requiring confirmation from multiple independent dimensions before committing capital. The yield curve component captures credit market expectations about future economic conditions, while the industrial production signal reflects real economic activity, and the price trend provides direct market feedback. The requirement for multi-signal confirmation dramatically reduces false signals compared to any individual indicator, with backtesting validated across nearly a century of market data. This approach is particularly valuable because it integrates fundamentally different information sources rather than relying solely on price-derived momentum signals.

Pure momentum ranking: top 6 of 12 by daily SMA ratio.

This aggressive variant from the Muscular Portfolios framework expands the selection universe to thirteen assets including additional bond segments and inflation-protected securities, while maintaining the same top-three equal-weight selection methodology. The larger universe increases the probability of finding strong-trending assets across more market environments and provides better diversification potential within the selected three positions. Multi-period momentum scoring averages across one, three, six, and twelve-month returns to create a robust ranking that balances responsiveness with signal stability. Assets failing the absolute momentum test are excluded and replaced with short-term treasuries for capital protection. The broader asset menu and higher turnover compared to the Mama Bear variant create a more aggressive profile suited for investors seeking maximum momentum capture across a comprehensive opportunity set.

This conservative variant from the Muscular Portfolios framework selects the top three assets from a nine-asset universe using a blended momentum score that averages one, three, six, and twelve-month returns. The multi-period momentum composite reduces sensitivity to any single lookback window and provides a more stable ranking signal than single-period alternatives. Assets with negative composite scores are excluded and replaced with short-term treasuries, providing an absolute momentum safety net during broad market weakness. The nine-asset universe spans US and international equities, real estate, commodities, gold, and multiple bond segments to ensure diverse opportunity capture. Equal weighting of the three selected assets keeps implementation simple and transparent while the multi-period scoring handles the complexity of identifying persistent trends across different time horizons.

This broader variant of Vigilant Asset Allocation expands the universe to twelve assets and replaces the binary all-or-nothing switch with a graduated protection mechanism tied to the count of negative-momentum assets. As more assets show negative weighted momentum scores, proportionally more of the portfolio shifts to defensive holdings, creating a smoother transition than the G4 variant. The top-ranked assets by weighted momentum receive equal weight in the risk-on portion. The larger universe spanning equities, bonds, real estate, commodities, and credit provides substantially better diversification and more stable momentum signals. This graduated approach is particularly effective at reducing whipsaw losses that can occur with binary switching strategies during choppy market transitions.

This strategy applies the most aggressive crash protection in the Keller family by monitoring four core assets and switching the entire portfolio to the best-performing defensive asset if any single one shows negative weighted momentum. The momentum scoring uses a proprietary weighting that emphasizes recent returns while still incorporating longer-term trends across one, three, six, and twelve-month periods. When all four assets show positive momentum, capital goes entirely to the single highest-scoring offensive asset. The binary all-or-nothing nature of both the protection trigger and asset selection creates a high-conviction approach that spends roughly half its time in defensive positioning. Despite the frequent switching, backtests show exceptionally strong risk-adjusted returns due to the effectiveness of the breadth-based crash detection signal.

This evolved framework combines multi-period momentum scoring with a correlation penalty that reduces the ranking of assets moving in lockstep with the broader market. The composite score averages one, three, six, and twelve-month returns and then adjusts downward for high correlation, favoring assets that are both trending strongly and providing genuine diversification. A graduated protection mechanism counts how many assets have positive composite scores and shifts proportionally to intermediate-term bonds as that count declines. The top three qualifying assets receive equal weight, creating a concentrated but diversification-aware portfolio. This approach represents a significant advancement over pure momentum ranking by explicitly rewarding assets that contribute independent return streams to the portfolio.

This strategy introduced the first graduated crash protection mechanism in tactical allocation, where the defensive allocation scales continuously based on the breadth of market weakness across twelve diverse assets. The bond fraction increases proportionally as more assets fall below their twelve-month moving average, providing a smooth transition from fully invested to fully defensive rather than a binary all-or-nothing switch. The top six assets by momentum ranking receive equal weight in the risk-on portion of the portfolio. This breadth-based approach captures the insight that broad market deterioration is a more reliable danger signal than weakness in any single asset. The sensitivity of the protection can be calibrated through the threshold parameter, allowing customization for different risk tolerance levels.

This multi-module extension of Global Equity Momentum divides the portfolio into four independent paired modules covering equity, real estate, credit, and commodities, each receiving equal weight. Within each module, the two competing assets are ranked by twelve-month returns and the winner must beat the risk-free rate to earn allocation, otherwise that module shifts entirely to intermediate-term bonds. The modular architecture provides superior diversification compared to single-pair dual momentum because each module operates independently with its own risk-on and risk-off decisions. Protection is granular at the module level, meaning only the stressed segments move defensive while healthy modules remain fully invested. This structure makes it particularly resilient across varied market environments where different asset classes experience stress at different times.

This multi-factor ranking strategy evaluates seven diverse assets across return, volatility, and correlation dimensions using a four-month lookback window. Assets are scored on a composite basis where momentum receives the highest emphasis, followed by low volatility and low correlation to peers, creating a ranking that favors strong but stable and diversifying positions. The top three assets receive capital in inverse proportion to their composite rank, giving higher-scoring assets proportionally larger allocations. Any asset whose four-month return falls below the prevailing Treasury bill rate is replaced with cash, providing an absolute momentum safety net. The approach is particularly attractive because it simultaneously addresses momentum, risk, and diversification in a single integrated framework.

This strategy selects the top five assets by six-month momentum from a nine-asset universe and then weights them using minimum-variance optimization based on daily return covariance data. The minimum-variance weighting naturally de-risks the portfolio by reducing exposure to volatile and highly correlated assets without requiring an explicit defensive switching mechanism. Assets that lose their momentum ranking simply fall out of the top five, providing a soft form of protection through natural rotation rather than binary signals. The universe spans US, international, and emerging market equities alongside real estate, commodities, and bonds to provide diverse momentum opportunities. This approach is distinctive because the risk management is embedded in the portfolio construction process itself rather than relying on external trend filters or canary signals.

This NAAIM Wagner Award-winning strategy ranks seven assets by twelve-month momentum and selects the top performers while enforcing a hard twenty-five percent per-asset cap to prevent excessive concentration in any single position. Assets with negative momentum are excluded entirely, with their allocation shifted to short-term treasuries for capital preservation. The hard cap mechanism provides a simpler and more transparent diversification guarantee than optimization-based approaches, ensuring that the portfolio always maintains meaningful breadth even when a few assets dominate the momentum rankings. The seven-asset universe spans US and international equities, real estate, bonds, gold, and commodities to provide exposure across major investable categories. This approach effectively balances the return benefits of momentum concentration with the risk management benefits of enforced diversification.

This strategy merges the canary-based crash protection framework from Defensive Asset Allocation with the minimum-variance portfolio construction approach from Adaptive Asset Allocation. Two canary assets monitor market conditions on a graduated scale, triggering proportional defensive allocation as stress indicators deteriorate. When conditions are favorable, the top five assets by weighted momentum are combined using minimum-variance optimization that accounts for daily return correlations and volatilities. The eight-asset risk-on universe spans equities, real estate, commodities, and gold to provide a broad opportunity set for the optimizer. This hybrid approach benefits from both early crash detection through the canary mechanism and intelligent risk-based weighting that reduces portfolio volatility even during risk-on periods.

This strategy applies a tactical trend overlay to the classic Permanent Portfolio structure of equal-weight equities, long-term bonds, gold, and cash. The equity allocation is monitored against a ten-month moving average, and when equities fall below the trend line that portion shifts to cash while the other three positions remain permanently held. The structural diversification across four economically distinct asset classes provides natural hedging across inflationary, deflationary, growth, and recessionary environments. The tactical component adds modest downside protection without disrupting the portfolio's fundamental all-weather character. This approach has very low correlation to pure momentum strategies, making it an excellent ensemble component for investors combining multiple tactical approaches.

This conservative variant of Protective Asset Allocation uses a more aggressive protection threshold that triggers defensive allocation earlier and in larger proportions at the same level of market breadth deterioration. The strategy monitors twelve assets for trend weakness and begins shifting capital to intermediate-term bonds at a lower count of negative-momentum assets than the standard version. The top six momentum-ranked assets still receive equal weight in the risk-on allocation, maintaining diversification when invested. The more conservative calibration results in significantly more time spent in defensive positioning, which reduces drawdowns at the cost of somewhat lower returns during extended bull markets. This variant is designed for investors who prioritize capital preservation and are willing to accept lower upside capture in exchange for smoother portfolio performance.

This legacy variant combines the Generalized Protective Momentum composite scoring methodology with the graduated breadth-based protection framework from Protective Asset Allocation. The offensive calibration sets a lower protection threshold, keeping the portfolio more fully invested during periods of moderate market stress. Assets from the twelve-position universe are ranked using a multi-factor score that incorporates momentum and correlation characteristics, with the top six receiving equal weight. The breadth indicator monitors how many assets show positive composite scores and begins shifting to bonds only when weakness becomes widespread. This configuration is designed for investors who want the sophisticated scoring of the GPM framework but prefer to maintain higher risk-on exposure during ambiguous market conditions.

This defensive legacy variant pairs the Generalized Protective Momentum scoring system with a more conservative breadth protection threshold that triggers defensive allocation earlier than the offensive counterpart. The higher threshold parameter means the portfolio begins shifting to intermediate-term bonds when fewer assets show weakness, resulting in substantially more time in defensive positioning. The twelve-asset universe is ranked by a composite score incorporating multi-period momentum and correlation metrics, with the top six receiving equal weight. The more conservative calibration trades some upside potential for materially lower drawdowns during market corrections. This approach is well-suited for risk-averse investors who value the analytical rigor of GPM scoring but require tighter downside controls.

This offensive variant of Elastic Asset Allocation scores seven assets using a geometric combination of return strength, low correlation to peers, and a directional signal, deliberately omitting any volatility penalty to maximize exposure to high-momentum opportunities. Assets with positive scores receive capital in proportion to their composite score, meaning the strongest trending and most diversifying assets naturally receive the largest allocations. The absence of a volatility penalty allows the strategy to maintain full exposure to rapidly rising but volatile assets during strong bull markets. Protection is provided through absolute momentum screening, which excludes any asset with a negative return component. The approach selects from a balanced universe of equities, bonds, and real assets to ensure broad opportunity capture across market environments.

This defensive variant of Elastic Asset Allocation adds a volatility penalty to the geometric scoring model, penalizing assets with elevated price fluctuations and favoring smoother return profiles. The composite score incorporates return, inverse volatility, low correlation, and a directional component, producing a ranking that systematically tilts toward stable trending assets. Capital is allocated proportionally to each qualifying asset's score among the top three selections from a seven-asset universe spanning equities, bonds, and commodities. Assets with negative returns are automatically excluded, providing a baseline absolute momentum filter. This variant is particularly well-suited for risk-conscious investors or choppy market environments where controlling portfolio volatility is a primary objective.

This aggressive variant of Robust Asset Allocation concentrates the offensive allocation between US and international equities using the same dual-filter methodology requiring both momentum and trend confirmation. The portfolio can range from full equity exposure when both filters pass to full intermediate-term bond positioning when neither filter confirms, with a partial allocation for mixed signals. The simplified two-asset offensive universe makes the strategy straightforward to implement and monitor while maintaining the robust dual-confirmation approach. Higher concentration amplifies both the upside potential during clear trends and the impact of any delayed signal recognition. This approach is designed for investors with higher risk tolerance who want the rigor of dual-filter confirmation in a more aggressive implementation.

This strategy applies a conservative dual-filter approach requiring both absolute momentum confirmation and trend confirmation before committing capital to any asset. Each position in the three-asset universe of US equities, international equities, and intermediate bonds must pass both a twelve-month return test against Treasury bills and a price-versus-moving-average trend test. The dual confirmation requirement significantly reduces false signals compared to single-filter approaches, though it may occasionally lag during sharp market reversals. Capital is allocated equally across qualifying assets with a target weighting structure applied to the equity and bond components. This robust methodology appeals to institutional investors who prioritize high-confidence positioning and are willing to accept slightly delayed entry in exchange for more reliable signals.

This pure fixed income strategy rotates among seven bond ETFs spanning short, intermediate, and long-term treasuries, inflation-protected securities, investment-grade, high-yield, and emerging market debt based on six-month momentum rankings. The top one or two bond segments by recent performance receive equal weight, concentrating exposure in the strongest-trending fixed income sectors. An absolute momentum filter requires the selected bonds to outperform Treasury bills, shifting to short-term treasuries when no bond segment shows attractive returns. The strategy provides a systematic approach to navigating the diverse bond market without equity exposure, making it an ideal complement to equity-focused tactical strategies. Low correlation to equity momentum signals and moderate turnover make it practical as a standalone bond allocation or as a diversifying component in a multi-strategy framework.

This foundational strategy allocates equally across five core asset classes including US and international equities, bonds, real estate, and commodities. Each position is independently protected by a ten-month moving average trend filter that moves the allocation to cash when prices fall below the trend line. The approach delivers broad diversification with a systematic risk management overlay that has been validated across decades of market data. Asset selection spans the major investable categories to capture global growth while limiting drawdowns during sustained bear markets. Originally published in Meb Faber's landmark 2007 SSRN paper, it remains one of the most widely referenced tactical allocation frameworks in institutional research.

This expanded variant of the Ivy Portfolio selects the top six assets from a diversified thirteen-asset universe spanning equities, fixed income, real estate, commodities, and inflation-protected securities. Each asset must pass a ten-month moving average trend filter to qualify for inclusion, providing systematic downside protection during prolonged declines. The broader universe improves the opportunity set and reduces the likelihood of being concentrated in a single asset class. Multi-period momentum scoring across one, three, six, and twelve-month windows creates a more robust ranking signal than any single lookback period. The category-capping mechanism prevents excessive style concentration that can arise when correlated assets cluster at the top of the rankings.

This aggressive variant concentrates the portfolio into just the top three assets from a twelve-asset universe using multi-period momentum scoring across one, three, six, and twelve-month returns. Protection comes from a ten-month moving average filter that excludes any asset trading below its trend line, shifting that capital to cash. The concentrated approach can deliver materially higher returns than broader variants but carries proportionally higher volatility and drawdown risk. Assets span US equities, international developed and emerging markets, and multiple fixed income segments to provide a rich selection universe. This strategy is best suited for investors with higher risk tolerance seeking maximum momentum capture.

This strategy selects the top six assets from a twelve-asset universe using the same multi-period momentum composite as the Aggressive Top 3 variant, but the wider selection provides meaningfully better diversification. Each asset must clear a ten-month moving average trend filter to be eligible, with capital moving to cash for any asset that fails the test. The six-position portfolio reduces concentration risk while still capturing the strongest momentum trends across equities, bonds, and alternatives. Moderate turnover makes it practical for taxable accounts compared to more concentrated approaches. It represents a balanced middle ground between the broad GTAA-13 and the concentrated Aggressive Top 3.

This hybrid approach splits the portfolio evenly between a permanently held passive allocation and a tactically managed momentum sleeve. The passive half maintains constant equal-weight exposure to core asset classes, ensuring the portfolio always participates in market gains. The tactical half applies a ten-month moving average trend filter to rotate into the strongest trending assets while moving to cash when trends break down. This dual structure significantly reduces whipsaw losses that plague purely tactical systems while maintaining meaningful downside protection. The result is a strategy with low tracking error relative to balanced benchmarks that appeals to investors who want some tactical benefit without fully departing from traditional allocation.

This strategy applies risk parity weighting to a five-asset US-focused universe spanning equities, emerging markets, bonds, commodities, and real estate, with each asset's allocation sized inversely to its realized volatility. A twelve-month moving average trend filter provides downside protection by removing any asset trading below its trend line and redistributing that risk budget among the remaining positions. The inverse-volatility weighting ensures that no single asset dominates portfolio risk, producing naturally balanced risk contributions across structurally different asset classes. The combination of risk normalization and trend following has historically delivered strong Sharpe ratios by capturing diversified risk premia while systematically avoiding sustained drawdowns. This approach appeals to institutional investors who view equal risk contribution as a more principled diversification framework than equal dollar weighting.

This global variant of the risk parity trend strategy expands the asset universe to include world equities, emerging markets, global aggregate bonds, commodities, and international real estate, providing broader geographic and economic diversification. Each asset is weighted inversely to its realized volatility so that risk contributions are equalized across the portfolio regardless of the inherently different volatility profiles of each asset class. A twelve-month moving average trend filter removes assets in downtrends and redistributes the risk budget to assets with positive trend characteristics. The global orientation captures return sources and diversification benefits not available in a purely US-focused implementation, particularly during periods when international assets outperform. Historical testing shows improved risk-adjusted returns compared to the US variant due to the wider opportunity set and lower average correlation among global asset classes.

This classic seasonal strategy implements the well-known Halloween effect by holding US equities during the historically stronger November through April period and rotating to intermediate-term bonds during the weaker May through October window. The pattern has been validated across centuries of market data and multiple international markets, making it one of the most persistent calendar anomalies in financial research. With only two trades per year the strategy has exceptionally low turnover and minimal transaction costs, making it highly practical for taxable accounts. The binary seasonal switching provides a completely uncorrelated signal source relative to momentum, trend, and macro-based tactical strategies. This approach works best as a diversifying component in a multi-strategy ensemble rather than as a standalone allocation, where its uncorrelated return stream meaningfully improves portfolio-level risk-adjusted performance.

This industry-standard benchmark allocates sixty percent to US equities and forty percent to US aggregate bonds, rebalanced annually with no tactical switching or market timing. The sixty-forty split has served as the default institutional allocation for decades, representing a straightforward balance between equity growth potential and bond income stability. There is no defensive mechanism; the portfolio remains fully invested in both asset classes at all times through all market conditions. The simplicity and wide adoption of this benchmark make it the essential comparison point for evaluating whether any tactical strategy justifies its additional complexity and trading costs. Every tactical allocation strategy on the platform should demonstrate clear, measurable improvement over this passive alternative to warrant investor consideration.

This static benchmark holds five assets in equal twenty-percent allocations: US large-cap equities, small-cap value stocks, long-term treasuries, short-term treasuries, and gold, rebalanced annually. The addition of small-cap value and the split between long and short-term bonds differentiates it from the classic Permanent Portfolio by adding an academically supported value premium and a barbell bond structure. There is no tactical switching or momentum overlay; the portfolio relies entirely on structural diversification across assets that respond differently to growth, inflation, deflation, and recession. The permanent allocation to gold and bonds provides natural defensive characteristics without requiring market timing decisions. This benchmark serves as a useful comparison point for tactical strategies, representing the returns available from pure diversification and rebalancing without any active management.

This classic static allocation divides the portfolio into four equal twenty-five percent positions across stocks, long-term bonds, gold, and cash, designed to perform adequately regardless of which economic environment prevails. The four quadrants correspond to prosperity, deflation, inflation, and recession, with at least one asset expected to perform well in each scenario. Rebalancing occurs only when any position drifts beyond predefined percentage bands, keeping turnover exceptionally low. There is no tactical switching, momentum overlay, or market timing involved; the strategy relies purely on the structural diversification properties of uncorrelated asset classes. This framework serves as the philosophical foundation for several tactical variants including the Lethargic Asset Allocation strategy, which adds a macro-conditional switch to the small-cap equity position.

This widely referenced benchmark implements the risk parity philosophy by allocating thirty percent to equities, fifty-five percent across long and intermediate-term bonds, and fifteen percent split between gold and commodities. The heavy bond allocation reflects the principle that bonds have lower volatility than equities and require larger notional positions to contribute equal risk to the portfolio. The strategy uses no tactical signals, momentum, or market timing, relying entirely on structural balance across economic environments including growth, recession, rising inflation, and falling inflation. Annual rebalancing maintains the target weights with minimal trading activity and implementation cost. As one of the most recognized institutional allocation frameworks, it serves as an essential benchmark for evaluating whether tactical strategies deliver genuine value beyond what passive diversification provides.

From Faber's 'Relative Strength Strategies for Investing' (SSRN 1585517). Ranks US SPDR sector ETFs using a composite of 1, 3, 6, 9, and 12-month total returns — averaging five lookback windows smooths momentum and outperforms single-period ranking in roughly 70% of years. The top three sectors are held equally weighted. A portfolio-wide dynamic hedge moves to 100% cash when the S&P 500 trades below its 10-month simple moving average, dramatically reducing drawdowns during bear markets. XLC (Communication Services) included from 2018 when the sector was created. 9 sectors pre-2018, 10 sectors from 2018 onwards.

This calendar-driven strategy allocates to specific country ETFs during their historically strongest seasonal windows, holding Singapore and Brazil equities during the November through April period and German equities during select months. The approach uses no price data whatsoever, relying entirely on well-documented calendar anomalies that have persisted across decades of market data in multiple countries. During periods outside the designated seasonal windows, the portfolio moves entirely to cash, creating a natural defense against the historically weaker summer and early fall months. The pure seasonality signal is fundamentally uncorrelated with momentum, trend, and macro-based strategies, making it a uniquely valuable diversification source in multi-strategy portfolios. Investors should be aware that the concentrated country-level exposure can produce high individual-year volatility despite the favorable long-term statistical profile.

Choi's aggressive growth-and-dividend rotation selects between Nasdaq 100 (QQQ) and US high-dividend stocks (SCHD) using a five-window momentum composite. Three independent crash protection layers provide robust drawdown control: a TIP canary gate detects inflation regime shifts, a lagged yield curve inversion signal anticipates recessions 7-15 months ahead, and an S&P 500 dividend yield threshold identifies overvaluation. When defensive, the strategy rotates into the best-performing safe haven among T-bills, long bonds, and commodities using SMA(6) dual momentum. The multi-layered protection makes it one of the most defensive TAA strategies available, though the yield curve lag can keep the portfolio defensive for extended periods after inversions.

This unconventional strategy inverts the standard tactical allocation logic by interpreting weakness in traditional defensive assets as a signal to increase equity exposure. When safe-haven assets like treasuries, gold, commodities, and the dollar show poor momentum relative to Treasury bills, those portions of the portfolio are reallocated to US equities on the thesis that defensive asset weakness signals a favorable risk environment. The allocation to equities scales proportionally with the degree of defensive asset underperformance, creating a graduated rather than binary positioning mechanism. Asset selection focuses on four distinct defensive categories that respond to different macro drivers, providing a multi-dimensional read on market conditions. This contrarian approach generates signals with genuinely low correlation to conventional momentum strategies, making it a powerful diversifying component in multi-strategy portfolios.

Based on the joint gold-Treasury momentum regime model by Vojtko & Dujava (SSRN 6042135). The paper demonstrates that gold's forward returns are systematically conditioned by the joint momentum of gold itself and long-duration US Treasuries. When both GLD and IEF exhibit positive 12-month momentum, the macro environment reflects falling real yields and accommodative monetary conditions — historically the strongest regime for gold. All other joint states (mixed or both negative) produce weak or adverse gold returns. IEF serves as a canary asset encoding real-rate dynamics: positive IEF momentum signals falling yields and easing conditions favorable for gold. GLD's own absolute momentum provides a second confirmation. The strategy holds cash when either signal is negative, earning Fed Funds rate. Simple, robust, and low-turnover with strong diversification value in multi-strategy portfolios.

This macro-driven strategy uses the OECD Composite Leading Indicator diffusion index to determine global economic momentum by measuring the percentage of member countries showing improving economic conditions. When the diffusion index exceeds fifty percent, indicating broad-based global growth, the portfolio is fully invested in US equities. When the index falls below the threshold, signaling widespread economic deterioration, the portfolio moves entirely to cash for capital preservation. The use of an international economic breadth indicator rather than price-based signals provides genuinely low correlation to traditional momentum strategies. This approach captures the insight that equity markets perform best during periods of synchronized global growth and are most vulnerable when economic weakness becomes widespread across multiple economies.

This enhanced variant of the Global Growth Cycle strategy adds relative momentum selection within both the risk-on and risk-off allocation branches, choosing between US and international equities during growth periods and between intermediate bonds and short-term treasuries during contractions. The same OECD diffusion index drives the primary regime determination, but the added momentum layer ensures the portfolio holds the stronger-performing asset within each regime. This dual-level selection process captures both the macro timing benefit of the leading indicator signal and the cross-asset momentum premium within each market state. The approach maintains the low correlation to price-based strategies that characterizes the original variant while improving return capture through within-regime optimization. It is particularly effective during periods when US and international markets diverge significantly in performance.

From Keller, Butler & Kipnis, 'Momentum and Markowitz: A Golden Combination'. Unlike traditional TAA strategies that rank assets and select top N, CAA feeds momentum-derived expected returns (avg of 1,3,6,12-month returns per asset) directly into a mean-variance optimizer. All 8 assets are in a single optimization pool — no separate risk-on/risk-off selection. The CLA optimizer simultaneously determines weights: risky assets (SPY, EFA, EEM, QQQ, EWJ, HYG) are capped at 25% each, while defensive assets (BIL, IEF) are uncapped, allowing the optimizer to shift heavily into bonds/cash when the 10% target volatility requires it. Assets with strong momentum receive higher expected returns and thus higher optimizer weight. In high-volatility environments, the optimizer naturally increases defensive allocation, providing implicit downside protection without any explicit trend filter or canary signal.

The conservative variant from Keller, Butler & Kipnis, 'Momentum and Markowitz'. Same CLA optimization: momentum scores (avg 1,3,6,12M returns) serve as expected return forecasts for ALL 8 assets simultaneously — no ranking or top-N selection. All assets are in one pool. The optimizer finds the efficient frontier portfolio matching 5% target volatility, naturally allocating the majority to BIL and IEF (uncapped) while giving small weights to risky assets (capped at 25% each). The 25% cap does not apply to defensive assets BIL and IEF — they can receive up to 100% allocation. The tighter risk budget means less equity exposure and more time in defensive positioning, well-suited for conservative investors prioritizing drawdown control.

This academically rigorous strategy derives a theoretically optimal trend-following indicator from a formal regime-switching model of financial returns. The optimal indicator combines moving average crossover and momentum signals with weights determined by the statistical properties of bull and bear market regimes rather than arbitrary parameter choices. When the indicator is positive the portfolio holds US equities, and when negative it shifts entirely to cash for capital preservation. The approach provides a principled alternative to ad hoc moving average rules by grounding the trend filter in a sound statistical framework. This strategy appeals to quantitatively oriented investors who prefer trend-following rules derived from first principles rather than empirically calibrated parameters that may suffer from overfitting.

DAA variant: single SPY risk-on with defensive rotation among SHY/IEF/BIL.

Concentrated US trend momentum strategy designed to capture the strongest 2 assets from a small high-conviction universe spanning US large-cap equities (SPY, QQQ), semiconductors (SMH), gold (GLD), and Bitcoin (IBIT). The K13612W momentum score heavily weights recent 1-month returns (12x multiplier) for fast trend detection while confirming with 3, 6, and 12-month windows. TIP serves as the single canary asset — falling TIP signals rising real rates, which historically precede drawdowns across all five risk-on assets simultaneously. When TIP is negative, the strategy exits entirely to the best of GLD (flight-to-safety) or BIL (cash). The 5-asset universe is deliberately small — each asset represents a distinct return driver: US equity beta (SPY), tech growth (QQQ), semiconductor cycle (SMH), inflation/fear hedge (GLD), and digital asset momentum (IBIT). Equal-weight top-2 allocation balances conviction with diversification — concentrated enough to capture trends, diversified enough to avoid single-asset blowups.

Adapted from Choi's Dividend & Growth Allocation with modified defensive universe (TLT removed, GLD added). Rotates between QQQ (US growth) and SCHD (US value/dividend) using Faber's 5-window momentum composite — capturing the growth/value cycle that has driven equity returns for decades. The strategy's true edge is its 3-layer macro protection: TIP falling below SMA(10) catches inflation/rate shocks, yield curve inversion lagged 7-15 months predicts recessions with 11.5-month average lead time, and low SPY dividend yield signals overvaluation risk. ANY single layer triggering sends the portfolio to the best-performing defensive asset among BIL (cash), GLD (gold), or PDBC (broad commodities). This strict protection means the strategy spends ~80% of time in defense during the current elevated-rate/overvaluation regime — effectively functioning as a gold/commodity trend fund. When macro conditions eventually normalize, it will resume QQQ/SCHD rotation with the same proven momentum signal. No TLT in the defensive universe — bonds removed due to persistent inflation regime.

Simple international developed markets exposure with trend protection. Holds 100% EFA (iShares MSCI EAFE — Europe, Australasia, Far East) when the ETF is above its 10-month simple moving average, exits entirely to GLD or BIL when the trend breaks. Designed as a dedicated international allocation within the MO Blend portfolio — provides USD weakness insurance and geographic diversification. The per-asset SMA(10) protection signal is deliberately different from all other MO strategies (which use TIP canary or macro gates), ensuring this strategy's defense timing is desynchronized from the rest of the blend. When TIP triggers A3 and DGA into defense but EFA remains above SMA, this strategy stays invested in international equities — capturing the exact scenario where non-US markets outperform during US-specific stress. Single-ETF simplicity means zero ranking noise — you're either in international developed markets or in gold/cash.

US sector rotation across 10 sectors including thematic plays: semiconductors (SMH), aerospace & defense (XAR), software/AI (IGV), and biotech (XBI) alongside core sectors (XLK, XLE, XLF, XLI, XLV, XLB). The 6-month lookback is optimized for sector rotation — sectors trend for 4-8 months on average, making 12-month too slow and 3-month too noisy. Score-proportional allocation concentrates in the leading sector — when XAR surges on defense spending, it naturally gets the largest weight. Per-asset SMA(10) filter provides granular protection: energy can stay invested during a tech selloff, defense can hold during a broad market correction. Failed sectors exit to equal-weight GLD+BIL, splitting between gold and cash to reduce GLD concentration when multiple sectors are defensive simultaneously.

Counter-cyclical strategy inspired by Carlson's Defense First — inverts the traditional portfolio by treating defensive assets (gold, commodities, dollar) as the primary investment universe and equities (SPY) as the fallback. Holds GLD (gold), PDBC (broad commodities with optimized roll yield), and UUP (US dollar index) when they have positive absolute momentum, ranked by K13612U with fixed tier weights (50/30/20). Assets with negative momentum are replaced by SPY — creating automatic regime rotation: in risk-off environments (2008, 2020, 2022), the strategy holds gold/commodities/dollar which surge; in bull markets, failing defensive assets rotate to SPY for equity participation. PDBC replaces DBC for better roll yield optimization (+1-2% annual improvement). No TLT — long bonds removed for the persistent inflation regime. This strategy has near-zero correlation (0.18-0.33) to all other MO strategies, making it the portfolio's primary diversification engine. Its 30% weight in the MO Blend compresses maximum drawdown from double-digit to single-digit levels.

The second half of the MO Blend's DGA split — uses SPY canary instead of TIP-based 3-layer macro protection. Same QQQ/SCHD growth/value rotation universe and Faber Combo momentum as PW-MO-DGA, but with a completely independent crash detection signal. SPY K13612W evaluates broad market health directly rather than through inflation proxies (TIP) or macro indicators (yield curve, dividend yield). This creates deliberate desynchronization: when TIP triggers PW-MO-DGA into defense but SPY remains healthy, PW-MO-DGA-SPY stays invested in equities — and vice versa. The split reduces TIP dependency from 45% to 32% of the portfolio while maintaining growth/value rotation alpha. SPY canary using K13612W (heavily weighted on 1-month return) reacts faster than SMA-based signals, catching the January 2022 equity weakness 2 months before TIP SMA(10) triggered. Defense universe matches PW-MO-DGA: BIL (cash), GLD (gold), PDBC (commodities) — ranked by momentum, best one gets 100%.

The flagship Portfoliowise Research portfolio — a 6-strategy tactical blend engineered for the 4th Turning macro regime. The DGA allocation is split 50/50 between two protection signals: PW-MO-DGA (12.5%) uses 3-layer macro protection (TIP + yield curve + dividend yield), while PW-MO-DGA-SPY (12.5%) uses SPY canary with K13612W evaluation. This split reduces TIP dependency from 45% to 32% and adds protection signal diversity — when one DGA half is defensive, the other may be invested, capturing equity returns that a single 25% DGA would miss. PW-MO-Trend (20%) captures concentrated US momentum across SPY/QQQ/GLD/IBIT/SMH using TIP canary. PW-MO-Intl (10%) provides international developed market exposure via EFA with SMA(10) filter — independent from all TIP/SPY signals. PW-MO-Sector (15%) rotates among 10 US sectors including defense (XAR), AI/semis (SMH, IGV), and energy (XLE) using per-asset SMA(10). PW-MO-Defense (30%) holds GLD/PDBC/UUP when they trend, SPY when they don't — near-zero correlation to all equity strategies. PDBC replaces DBC throughout for better roll yield. No TLT or long-duration bonds anywhere. Protection architecture: 4 completely independent crash signals ensure desynchronized defense timing across the portfolio.

Binary rotation between international developed equities (EFA) and US equities (SPY) with TIP-based crash protection. Each month, the strategy picks whichever of EFA or SPY has higher 3-month momentum — capturing international vs domestic equity trends. TIP SMA(10) canary provides crash exit: when TIP falls below its 10-month moving average (signaling rising real rates), the portfolio exits to equal-weight GLD+BIL. Equal-weight defense splits between gold and cash, reducing GLD concentration risk compared to momentum-ranked defense. The EFA/SPY pair captures the international vs domestic equity rotation cycle — when USD weakens, EFA outperforms; when US economy leads, SPY dominates.

Evolution of the MO Blend with revised components. Key changes from V1: (1) International Paired now rotates EFA vs SPY (instead of EFA vs GLD) — provides genuine equity diversification between international and US markets rather than adding more gold exposure. (2) Both Sector and International defense allocations use equal-weight GLD+BIL instead of momentum-ranked — this reduces GLD concentration during defensive periods when multiple strategies exit to defense simultaneously. All other components from V1: PW-MO-Trend (20%) for concentrated US momentum with TIP canary, split DGA (12.5% 3-layer + 12.5% SPY canary) for growth/value rotation, PW-MO-Sector (15%) for thematic sector rotation with per-asset SMA(10), PW-MO-Defense (30%) for counter-cyclical gold/commodity/dollar exposure with absolute momentum to SPY.

Third evolution of the MO Blend — simplified from 6 to 4 components for clarity and reduced overlap. Key changes from V2: (1) Removed DGA split (was 25% across two DGA variants) — DGA's macro layers added complexity without proportional benefit. (2) International Paired now rotates EFA vs SPY instead of EFA vs GLD — provides genuine equity diversification rather than more gold exposure. (3) All defensive allocations use equal-weight GLD+BIL instead of momentum-ranked — reduces GLD concentration during defensive periods when multiple strategies go to defense simultaneously. (4) Increased Trend allocation from 20% to 40% — the strongest individual component with IBIT exposure for digital asset momentum. (5) Increased Sector from 15% to 30% — captures thematic equity trends with independent SMA(10) protection per sector. The 4-component structure ensures each strategy has a genuinely different role: Trend (concentrated US momentum with TIP canary), Sector (broad US sector rotation with per-asset SMA), International (EFA/SPY equity rotation with TIP SMA), Defense (inverted commodity/gold with absolute momentum to SPY).