R1 — Recommender (model/engine + vendor)
EquBot / IBM Watson (Amplify AIEQ)
R2 — Asset / ticker
AIEQ — Amplify AI Powered Equity ETF
R3 — Recommendation date (YYYY-MM-DD)
2017-10-17
R4 — Subject type
ai-managed-fund (Template F)
R5 — Primary source URL
https://stockanalysis.com/etf/aieq/
A1 — Axis 1 Data Source
Fail
A1e — Axis 1 evidence (quote + source location)
Holdings disclosed daily, but per-pick data sources are not cited; inputs described only in aggregate. No primary/tier classification.
A2 — Axis 2 Reasoning Logic
Fail
A2e — Axis 2 evidence
Per-pick rationale is a proprietary black box; no premise-to-conclusion argument is published to verify.
A3 — Axis 3 Counter-Scenario
Fail
A3e — Axis 3 evidence
No downside scenarios or weighted probabilities disclosed.
A4 — Axis 4 Timing
Fail
A4e — Axis 4 evidence
Open-ended fund; no entry window or defined horizon — continuous rebalancing.
A5 — Axis 5 Accuracy / Hallucination
Pass
A5e — Axis 5 evidence
All 162 holdings are real, publicly disclosed, verifiable securities (top-10 confirmed via stockanalysis.com 2026-04-13). No fabricated tickers or figures.
A5x — Axis 5 failed due to NON-EXISTENT source/ticker/figure?
No
A6 — Axis 6 Causal Chain
Fail
A6e — Axis 6 evidence
No per-pick sources or stated conclusions are published; source-to-conclusion linkage is unverifiable.
C1 — Macro coherence
Missing
C2 — Micro coherence
Missing
O1 — Phase
confirmed (D+90 / fund 1y+)
O2 — Return at D+90 (or fund annualized), % — blank if provisional
9.09
O3 — Excess vs benchmark, pp — blank if provisional
-7.59
O4 — Stop-loss breached by D+90?
No / N-A
O5 — Benchmark
SPY (S&P 500)
O6 — Outcome notes (mdd, horizon, correlation, cost drag, …)
annualized +9.09%/yr since inception (5Y +6.56%/yr); excess vs SPY -7.59pp/yr (5Y common window, confirmed; 1Y -5.76pp); MDD -24.19%; correlation to SPY 0.96; active share low (closet-index); cost drag +0.66pp/yr (0.75% vs 0.09%); horizon since 2017-10-17 (8.5y live track record).
E1 — Evaluator conflict of interest
no conflict
S1 — Public summary (will be shown on the site)
L1 review of EquBot/IBM Watson's AIEQ — a real, publicly traded AI-managed equity ETF (not MC AI Labs'). By the AIRVS disclosure-and-evidence bar it scores Unreliable: only 1 of 6 process axes pass (the AI never publishes per-pick reasoning, sources, downside cases, or a defined horizon), and over 8.5 years it has trailed a simple S&P 500 index fund (SPY) while charging 0.75-0.80%. FAIRNESS NOTE: "Unreliable" here measures transparency/verifiability, NOT that AIEQ is a bad fund — a quantitative model legitimately keeps its picks' rationale proprietary, which structurally fails disclosure axes. The benchmark underperformance (-7.59pp/yr vs SPY, 5Y common window) is a separate, independently measured fact. Verdict derived mechanically via MC AI Labs decision-rule v1.0.0 (frozen); Annex A-F (AI-managed-fund variant, AIRVS v1.1) applied — most queryable-LLM items are structurally N/A and do not flip Axis 5 (holdings verified real). Published under AIRVS v1.2.0.
L1 confirmation
R1 — Recommender (model/engine + vendor)
EquBot / IBM Watson (Amplify AIEQ)
R2 — Asset / ticker
AIEQ — Amplify AI Powered Equity ETF
R3 — Recommendation date (YYYY-MM-DD)
2017-10-17
R4 — Subject type
ai-managed-fund (Template F)
R5 — Primary source URL
https://stockanalysis.com/etf/aieq/
A1 — Axis 1 Data Source
Fail
A1e — Axis 1 evidence (quote + source location)
Holdings disclosed daily, but per-pick data sources are not cited; inputs described only in aggregate. No primary/tier classification.
A2 — Axis 2 Reasoning Logic
Fail
A2e — Axis 2 evidence
Per-pick rationale is a proprietary black box; no premise-to-conclusion argument is published to verify.
A3 — Axis 3 Counter-Scenario
Fail
A3e — Axis 3 evidence
No downside scenarios or weighted probabilities disclosed.
A4 — Axis 4 Timing
Fail
A4e — Axis 4 evidence
Open-ended fund; no entry window or defined horizon — continuous rebalancing.
A5 — Axis 5 Accuracy / Hallucination
Pass
A5e — Axis 5 evidence
All 162 holdings are real, publicly disclosed, verifiable securities (top-10 confirmed via stockanalysis.com 2026-04-13). No fabricated tickers or figures.
A5x — Axis 5 failed due to NON-EXISTENT source/ticker/figure?
No
A6 — Axis 6 Causal Chain
Fail
A6e — Axis 6 evidence
No per-pick sources or stated conclusions are published; source-to-conclusion linkage is unverifiable.
C1 — Macro coherence
Missing
C2 — Micro coherence
Missing
O1 — Phase
confirmed (D+90 / fund 1y+)
O2 — Return at D+90 (or fund annualized), % — blank if provisional
9.09
O3 — Excess vs benchmark, pp — blank if provisional
-7.59
O4 — Stop-loss breached by D+90?
No / N-A
O5 — Benchmark
SPY (S&P 500)
O6 — Outcome notes (mdd, horizon, correlation, cost drag, …)
annualized +9.09%/yr since inception (5Y +6.56%/yr); excess vs SPY -7.59pp/yr (5Y common window, confirmed; 1Y -5.76pp); MDD -24.19%; correlation to SPY 0.96; active share low (closet-index); cost drag +0.66pp/yr (0.75% vs 0.09%); horizon since 2017-10-17 (8.5y live track record).
E1 — Evaluator conflict of interest
no conflict
S1 — Public summary (will be shown on the site)
L1 review of EquBot/IBM Watson's AIEQ — a real, publicly traded AI-managed equity ETF (not MC AI Labs'). By the AIRVS disclosure-and-evidence bar it scores Unreliable: only 1 of 6 process axes pass (the AI never publishes per-pick reasoning, sources, downside cases, or a defined horizon), and over 8.5 years it has trailed a simple S&P 500 index fund (SPY) while charging 0.75-0.80%. FAIRNESS NOTE: "Unreliable" here measures transparency/verifiability, NOT that AIEQ is a bad fund — a quantitative model legitimately keeps its picks' rationale proprietary, which structurally fails disclosure axes. The benchmark underperformance (-7.59pp/yr vs SPY, 5Y common window) is a separate, independently measured fact. Verdict derived mechanically via MC AI Labs decision-rule v1.0.0 (frozen); Annex A-F (AI-managed-fund variant, AIRVS v1.1) applied — most queryable-LLM items are structurally N/A and do not flip Axis 5 (holdings verified real). Published under AIRVS v1.2.0.
L1 confirmation