
The Rules Don't Change. That's the Whole Point.
AIM applies a predefined rule set — built over 1,500+ hours of development and unchanged since 2004 — to evaluate market data and generate exposure guidance. No predictions. No overrides. Just the framework, doing what it was designed to do.
Built Through Testing, Refined Through Failure
If you don't fail a thousand times, you didn't learn anything. The AIM methodology is built on four foundational elements — each one earned through years of rigorous testing and data work.
Established Decision Rules
The framework operates on predefined criteria — no gut feelings, no last-minute calls. These rules were established through years of testing and applied without modification.
Defined Evaluation Process
Market data is assessed through a structured methodology. Dave's definition of a down day isn't necessarily somebody else's — and that's part of what makes this work.
Consistent Application
The rule set is applied uniformly across all evaluation periods. Same rules, same process, same discipline — whether the market is up, down, or sideways.
Non-Discretionary Implementation
No subjective judgment enters the process. The framework operates exactly as designed. We don't change the recipe when the kitchen gets hot.
How the Framework Operates
Think of it like a very good roller coaster. It has its ups and downs — they can be steep — but there's no 600-foot drop. If you're patient, you'll get to the end, and everybody will be happy. The framework follows a defined sequence that stays consistent across every market environment.
Data Evaluation
Market data is assessed according to the framework's predefined criteria — using definitions that aren't necessarily what somebody else would think of.
Rule Application
Established decision rules are applied to the evaluated data without modification. No overrides, no exceptions.
Exposure Guidance
The framework generates structured exposure guidance based on the rule set output — doing something completely different from what the broader market is doing.
Consistent Implementation
Guidance is implemented systematically, maintaining the non-discretionary approach that has defined this methodology since 2004.
Frequently Asked Questions
Common questions about rules-based investment strategies, tactical frameworks, signal providers, and the AIM methodology.
A rules-based investment strategy is a quantitative investment discipline in which emotion is removed from the process. Fixed mathematical formulas dictate decisions on what and when to invest or move to safety. Rather than relying on subjective analysis or market predictions, the strategy follows established rules consistently — tilting the odds in your favor, systematically, every time.
A tactical investment strategy is typically an investment management approach where changes are made to asset allocations to increase or decrease risk based on market conditions. While often confused with absolute return strategies, tactical strategies generally adjust positioning within a traditional long-only framework. AIM's approach goes further — using a quant-derived model that can be long, short, or out of the market entirely.
An absolute return strategy is an approach to investing that aims to produce positive returns without regard to current market conditions. Unlike relative return strategies that measure success against a benchmark like the S&P 500, absolute return strategies seek positive performance in both rising and falling markets. AIM's methodology is an absolute return framework — its quant-derived model operates independently of market direction.
An active investment management strategy is one in which the portfolio manager may use a variety of data to determine the state of the market, either on a short-term or long-term basis, to increase alpha and limit risk. AIM's approach is a specific form of active management that relies on quantitative research and fixed mathematical formulas rather than discretionary judgment — removing the human emotion that often undermines investment decisions.
In the financial world, a third-party strategist outsources specialized business functions — and in investment management, they would more likely be referred to as a signal provider. A signal provider is a firm that has developed investment strategies and provides regular recommendations — daily, monthly, or on another defined schedule — to registered investment advisors (RIAs) on how to manage client portfolios. This allows advisors to leverage specialized quantitative expertise without building it in-house.
Signal providers develop and maintain proprietary investment strategies, then deliver structured recommendations to financial advisors on a regular basis. The advisor retains discretion over client accounts but receives systematic guidance from the signal provider's framework. This model allows RIAs to offer sophisticated quantitative strategies to their clients while maintaining their advisory relationship and fiduciary responsibility.
RIAs typically evaluate third-party investment managers by examining the financial metrics of the manager's trade record. Key evaluation criteria include annual returns, standard deviation, maximum drawdowns, correlation coefficients, and risk-adjusted performance measures. A thorough due diligence process also considers the manager's methodology, track record length, consistency of approach, and whether the strategy provides genuine diversification relative to the advisor's existing portfolio construction.
A correlation coefficient measures how closely two investments move together. Correlated investments tend to move in the same direction — for example, the S&P 500 and NASDAQ typically move up and down together. Non-correlated investments do not follow this pattern. AIM's correlation coefficient is 0.18 to the S&P 500 Total Return Index and 0.28 to the NASDAQ 100 Index since inception — and in down markets, that correlation turns negative. For context, most diversified equity funds correlate at 0.85 or higher to the S&P 500.
Traditional diversification involves a buy-and-hold philosophy using stocks, bonds, real estate, and precious metals. The problem is that when the market goes down, most of those asset classes tend to go down together. AIM offers a fundamentally different approach: diversification of strategy, not just assets. AIM uses a quant-derived model that can be long, short, or out of the market entirely — providing exposure that behaves independently of traditional portfolios. That's non-discretionary diversification by design.
AIM is entirely non-discretionary. The methodology operates according to predefined rules — fixed mathematical formulas that dictate every exposure decision. There are no subjective overrides, no gut calls, and no modifications based on market sentiment. The main strategy has been unchanged since January 24, 2004. Every evaluation follows the same process, every time, regardless of market conditions.
Low Correlation — By Design
A correlation coefficient measures how closely two investments move together. A value of 1.0 means they move in lockstep. A value near 0 means they behave independently. AIM was built to provide exposure that doesn't follow the crowd.
S&P 500 Total Return Index
0.18
Correlation coefficient since inception. For context, most diversified equity funds correlate at 0.85+ to the S&P 500.
NASDAQ 100 Index
0.28
Correlation coefficient since inception. In down markets, this correlation turns negative — doing what the rest of the portfolio can't.
Correlation coefficients are moving metrics and subject to change. Past correlation is not indicative of future results. Data reflects performance since strategy inception.
See the Full Framework for Yourself
Request the AIM Strategy Overview for a comprehensive look at the rules-based methodology. If you appreciate the work behind it, we should talk.