You’ve built a career on trust, integrity, and doing what’s right for your clients. But as the industry continues to evolve, you may be questioning whether your current structure still gives you the…

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Identify the appropriate strategy — Strategic, Dynamic, or Tactical
Determine optimal allocation across equities, fixed income, and alternatives
Formulaic, data-driven 4-step process to identify the best underlying securities
Algorithmic Alpha & Omega signals guide continuous monitoring and rebalancing
Sub-advisory services through ASWTI
Investment strategies across the full risk spectrum
Distinct active management disciplines
Algorithmic signals remove emotion from decisions
Stays invested, maximizes total return potential
Captures trends, reduces volatility
Principal protection & outperformance
Low level of active management with a small degree of portfolio changes — designed to maximize long-term total return potential by staying invested through market cycles.

Maximizes long-term total return potential

Maximizes long-term total return potential

Stays invested through market cycles

Lower management activity reduces costs
Long-term investors with a higher risk tolerance*
Moderate level of active management using algorithmic signals to shift positioning as market conditions evolve — capturing uptrends while reducing exposure during downtrends.

Captures market trends algorithmically

Reduces portfolio volatility over time

Enhances risk-adjusted returns
At or near-retirement investors seeking stability with moderate to low risk tolerance*
High level of active management with large portfolio changes — designed to protect principal against major drawdowns while seeking the greatest opportunity for outperformance.

Protects principal against major drawdowns

Enhances risk-adjusted returns

Greatest opportunity for outperformance
Investors seeking principal protection and greatest outperformance opportunity*
Identify the appropriate discipline — Strategic, Dynamic, or Tactical — based on the client's goals, time horizon, and risk tolerance.
Determine the optimal allocation across asset classes — equities, fixed income, and alternatives — using Focused or Asset Allocation strategies.
A formulaic 4-step process: Universe Selection → Financial Metric Filters → Fundamental Analysis → Ranking & Final Selection.
Continuous monitoring using Alpha (short-term) and Omega (intermediate-term) algorithmic signals to guide dynamic and tactical strategy decisions.
Greater "risk-on" positioning within specific asset classes
Investments concentrated within a specific asset class — equities, fixed income, or alternatives — actively managed based on the strategy's specific objective and methodology.

Dividend Growth, Growth, Core/Value, Large/Mid/Small Cap

Diversified bond exposure, capital preservation focus

Real estate, commodities, precious metals, currencies
Dynamic risk management across the full allocation spectrum
Algorithmic signals shift portfolios between "Risk-On" and "Risk-Off" positioning based on market conditions — capturing uptrends while protecting against downtrends.
40/60
30/70
20/80
10/90
Risk-Off % / Risk-On % across 5 allocation tiers
Three layers of risk management built into every strategy — diversification, active security selection, and algorithmic market signals.
Short-term market signal — identifies near-term trend changes to guide tactical positioning within Dynamic and Tactical strategies.
Intermediate-term market signal — provides broader trend confirmation to guide intermediate-term risk management decisions.
Risk-On
Reducing
Risk-Off