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AINT

FINQ DOLLAR NEUTRAL U.S. Large Cap AI-Managed Equity ETF

Last Close
Feb 12  •  04:00PM ET
25.63
Dollar change
-0.09
Percentage change
-0.36
%
CategoryUS Equities - Quant Strat Asset TypeEquities (Stocks) Tags- Return% 1Y- Total Holdings23 Perf Week-
SponsorFINQ ETF Type Tags- Return% 3Y- AUM1.28M Perf Month-
Fund Family Bond Type Tags- Return% 5Y- NAV/sh Perf Quarter-
Index- Average Maturity Tags- Return% 10Y 52W High27.50 -6.81% Perf Half Y-
Index Weighting Commodity Type Tags- Return% SI 52W Low25.33 1.17% Perf YTD1.05%
Active/Passive Quant Type Tags- Flows% 1M102.62% Volatility- - Perf Year-
Dividend TTM- ESG Type Tags- Flows% 3M102.62% ATR (14)0.90 Perf 3Y-
Dividend Ex-Date- Dividend Type Sector/Theme Flows% YTD102.62% RSI (14)- Perf 5Y-
Dividend Gr. 3/5Y- - Structure Type Region Flows% 1Y Beta- Perf 10Y-
Expense1.25% Growth/Value SMA20-1.13% Flows% 3Y Rel Volume0.13 Prev Close25.72
Inverse/Leveraged Market Cap SMA50-1.13% Flows% 5Y Avg Volume22.07K Price25.63
IPOFeb 06, 2026 Option/ShortNo / No SMA200-1.13% Trades Volume2,787 Change-0.36%
The Fund, is actively-managed and seeks to achieve its investment objective by generating absolute returns through a dollar-neutral investing approach based on the results of a proprietary adaptive artificial intelligence ("AI") framework (the "Model). This approach involves taking long (buy) and short (sell) positions in equity securities of U.S. large-cap companies. The Fund defines a large-cap company to be any company that is included in the S&P 500 Index.. A dollar-neutral portfolio aims to profit from the relative performance of assets, not overall market direction. The Fund's long and short dollar neutral investments are determined by the stock rankings and weightings as generated by the Model, which was developed and is maintained by FINQ AI, LLC (the "Sub-Adviser") and its affiliates. An "adaptive" AI framework is one designed to learn, evolve, and dynamically adjust its behavior and decision-making based on real-time data and market changes, rather than relying on static, predefined rules. The Model does not predict future performance, but rather, drawing from factors described below, establishes a dynamic and evolving "view" of each stock as to its relative positioning or attractiveness, based solely on how each stock ranks compared to its peers in the Index.