Counterpoint Quantitative Equity ETF CPAI

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52.07 USD +0.51 +0.99%

As of Nov 3, 10:52 AM ET

Bid
51.97 × 300
Ask
52.04 × 500
51.79 Day range 52.07
37.29 52-week range 53.96
YTD
+29.85%
1 year
+32.09%
Open
51.57
Prev close
51.56
Mkt cap
389.81M
Vol
16.89K
Avg vol
72.95K
EPS
3.17
P/E
16.44
Div yield
0.00%
More statistics
Low
51.79
High
52.07
Forward P/E
0.00
Beta
0.00
Short ratio
0.00
Dividend
0.00
Ex-div date
50-d avg
35.06
200-d avg
31.96

2Y chart

Chart tools
Interval

Events in this range
  • Dec 12, 2024Dividend: 0.1407
  • Dec 12, 2025Dividend: 0.3577
Signals (84)
NameDateAgo
SMA: BearishNov 2, 20261 day ago
MACD: Sell SignalOct 30, 20264 days ago
MACD: Buy SignalOct 28, 20266 days ago
SMA: BullishOct 19, 20262 weeks ago
SMA: BearishOct 16, 20262 weeks ago
MACD: Sell SignalOct 15, 20262 weeks ago
MACD: Buy SignalOct 2, 20261 month ago
SMA: BullishOct 1, 20261 month ago
SMA: BearishSep 28, 20261 month ago
MACD: Sell SignalSep 28, 20261 month ago
MACD: Buy SignalSep 21, 20261 month ago
SMA: BullishSep 17, 20261 month ago
SMA: BearishSep 16, 20261 month ago
SMA: BullishSep 11, 20261 month ago
SMA: BearishSep 10, 20261 month ago
SMA: BullishSep 2, 20262 months ago
SMA: BearishSep 1, 20262 months ago
MACD: Sell SignalAug 24, 20262 months ago
SMA: BullishAug 7, 20262 months ago
MACD: Buy SignalAug 7, 20262 months ago

Newest 20 of 84.

Key statistics

Market cap
0
Enterprise value
0
Trailing P/E
17.92
Forward P/E
0.00
PEG ratio
0.00
Price / sales
0.00
Price / book
0.00
EPS (TTM)
0.00
Beta
0.00
Dividend yield
0.00%
Payout ratio
0.00%
Shares outstanding
0
Short % of float
0.00%
50-day average
35.06
200-day average
31.96

About Counterpoint Quantitative Equity ETF

Under normal market circumstances, the fund invests at least 80% of its assets in common stocks and American Depositary Receipts. The fund holds at least 50 U.S. listed stocks or American Depository Receipts. The stocks selected are of companies of any market capitalization and are among the highest-ranking stocks as determined by quantitative models. The quantitative models use machine learning technology to rank stocks of companies of U.S. domiciled companies and ADRs of any market capitalization.

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