We’re the only AI-enabled predictive equity analytical investment and consulting company in the market.
Tri-Signal AI-enabled Predictive Equity Analytics (PEA) provides prospective portfolio protection (next 1 to 3 future trade-days) with accuracy in excess of 95% and retrospective portfolio protection with 100% accuracy in as little as 1 elapsed trade-day.
2026 EcoSta Conference presentation August 2026.
Your portfolio success, our AI-enabled predictive equity analytics.
(News events post market close as well as intra trade-day news events are excluded. Currently serving United States and Canadian domicile corporations only.)
Services
Predictive AI-enabled Equity Analytics defined.
Simply, it is the capability to retrospectively as well as prospectively predict/detection change points and associated subsequent time-series behavior for ETFs, mutual funds and stocks with high accuracy.
This is commonly referred to as alpha signal prediction/detection in as little as 1 elapsed trade day.
When significant signals are present, predictive AI-enabled equity analytics enables greater investment returns than Markowitz based portfolios at significantly less risk levels.
The presence of significant signals means that the equity time series derives from a dynamic mixture of distributions rather than a single common distribution.
In absence of significant signals, predictive AI-enabled equity analytics gracefully reverts to standard theory.
Predictive AI-enabled equity analytics extends standard theory to accommodate non-equilibrium dynamics.
Concepts as risk aversion, utility maximization, Sharpe ratio are replaced by the simple assumption of a desire for higher levels of wealth using dynamic diversification.
Predictive AI-enabled equity analytic’s support is derived from two sources: a) statistically significant T-tests and ANOVA tests and b) linear algebra: principal component method – maximal eigenvalue and associated eigenvector.
Think differently about investing.
With IHA Consultant's TriSignal AI-enabled Predictive Equity Analytics, achieving "sum of conditional probabilities exceeding 1 and approaching perfect forecast value of 2" is attainable.
Superior forecasting skills must be based on information that is not reflected in security prices. Therefore, if such information is obtainable, then security prices will not reflect all available information, and the market will not be efficient. Moreover, Markowitz based portfolios are suboptimal in presence of signals.We find that when significant T-tests are present, a mixture of distribution replaces the single distribution assumption. This affects traditional variance and correlation statistics with mean unaffected.Support for findings is indicated by significant T-tests, significant ANOVA and principal component analysis/(eigenanalysis-linear algebra.)
For U.S. exchange traded equities, are there predictive signals that identify prospective change points of underlying distribution with 90%+ accuracy?
For U.S. exchange traded equities, are there retrospective signals that identify retrospective change points of underlying distribution in least elapsed time with near 100% accuracy?
Every prospective change point (Signal_1 strength 0.65 or better) will be eventually detected as a retrospective change point with sufficient elapsed trade days with 100% accuracy.
File availability status:
United States Exchanges: ETF and stock files generally available prior to market open. Mutual fund files generally available 12 noon EST. 06/15/2026 ETF files: posted 06/15/2026 Mutual fund files: posted 06/15/2026 Stock files: posted
We offer a wide variety of predictive and retrospective analytical services.
01
Financial Strategies
We offer AI-enabled predictive equity analytics that support both managed custom index as well as optimal retail index strategies.
02
Investment Planning / Quantitative Research
AI-enabled predictive equity analytics to mitigate risk by capturing gains together with advance warning of downside change-point occurrence.
03
Asset Management
Using change-point detection (prospective & retrospective) select the investment vehicles likely to appreciate in the next 1 to 10 or 20 trade-days and dispose of (sell short) any currently held assets forecast to downturn in next 1 to 5 trade days.
04
Insurance and Annuity Fund Guidance Analytics
Monitor an expanded set of investment vehicles that are commonly offered in life insurer life and annuity products to optimize inside policy investment return.
Projects
Featured case studies
How to Outperform an Index
By allocating 50% of funds to an index and actively investing the remainder.
Optimizing 401(k) Plan Participant Portfolios
AI-enabled Predictive equity analytics ability to provide advance warning of downturns as well as prediction of likely favorable change-point generates superior accumulated account values (versus target date funds) at all durations for any type of plan participant.
Active Dynamic Investment is superior to Passive Investment Strategy
Passive investment which uses a low cost, static, well- diversified portfolio is commonly advertised as a prudent approach. Predictive equity AI analytics' dynamic diversification provides higher return and avoids market downturns which cannot be matched by any static buy and hold investment strategy.
Register your account today and experience the future of AI-enabled quantitative portfolio investment!
You can scan your current portfolio for change-points as well as 3,600 symbols for change-points currently unknowable.