Financial Services
Live Price
Offline$51.01
+0.75% today
Window Change
+30.61%
Window
Nov 6, 2025 → Jun 18, 2026
Historical coverage is still expanding
This 1Y daily history view is usable, but not fully loaded yet. Additional bars will appear as backfills continue.
Coverage: 153 bars · Nov 6, 2025 → Jun 18, 2026
Research Briefing
A compact read on the setup, peer context, quarterly changes, and recent earnings reaction.
Research Snapshot
Counterpoint Quantitative Equity ETF (CPAI) is a Financial Services stock with a market cap of $260.00M and listed on NYSE. The stock last traded around $51.01 and up 30.6% across the available one-year price window (Nov 6, 2025 → Jun 18, 2026). Baseline metrics include revenue growth of 0.0%, EPS growth of 0.0%, a dividend yield of 0.0%. What stands out right now is revenue 0.0%, EPS 0.0%, free cash flow 0.0% with operating margin 0.0% and ROIC 0.0%. Stock Foundry combines CPAI price history, valuation, growth, dividend context, earnings, analyst forecasts, news, related Financial Services peers on this page.
Sector Context
How this name stacks up against nearby peers on first-pass metrics.
Revenue Growth
Below sector median
0.0% vs +3.4% peer median
Operating Margin
Below sector median
0.0% vs +4.7% peer median
What Changed This Quarter
Latest report context and the signals most likely to have changed the story.
The setup is mixed rather than one-directional
Revenue is 0.0% and EPS is 0.0%, while operating margin sits near 0.0%.
Benchmark Edge
Normalized return, excess return, max drawdown, and calendar-year wins against the benchmarks investors actually use.
CPAI
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Normalized return
SPY
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S&P 500
Excess Return
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Relative to SPY
CPAI Max Drawdown
-10.48%
Trailing 1Y
SPY Max Drawdown
—
Trailing 1Y
Uses the longest available daily history for CPAI and SPY.
Company Overview
Counterpoint Quantitative Equity ETF
NYSE
Counterpoint Quantitative Equity ETF is an actively managed exchange-traded fund designed to pursue long-term capital appreciation through a systematic, multifactor investment approach. The fund primarily invests in a diversified portfolio of U.S.-listed stocks, with a mandate to hold at least 50 securities at any time. Its core strategy leverages proprietary quantitative models, incorporating machine learning techniques and over 30 empirical factors—including value, momentum, quality, long-term reversal, investor sentiment, and price stability—to dynamically rank and select the most attractive stocks for the current market environment. The portfolio adapts its factor exposures based on evolving market conditions, aiming to capitalize on shifts in market anomalies while managing downside risk. By combining elements of both fundamental and technical analysis, Counterpoint Quantitative Equity ETF seeks to provide balanced exposure across various sectors and market capitalizations, reflecting its broad-based equity focus. The ETF stands out for its use of advanced artificial intelligence and data-driven processes, striving to outperform the broader equity market over time while mitigating volatility and downside exposure. Its holdings, portfolio weights, and sector allocations are dynamic and subject to frequent review as new information is processed by the underlying models.
Valuation, growth, profitability, and balance sheet signals.
Company announcements and filings-style updates.
Next Step
After the overview, the strongest next step is usually chart context or a tighter compare set.