POW (POW)

Market Cap
P/E Ratio
Beta
Dividend Yield

Price Chart with Moving Averages

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SMA 50 SMA 200

Underwater (Drawdown from Peak)

How far below the all-time high the price has been over time. Deeper = more pain for holders.

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Rolling 60-Day Beta vs S&P 500 (VOO)

How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.

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Rolling Beta Market (β = 1.0)

Fundamentals

Forward P/E
PEG Ratio
Price/Book
Avg Volume
52W High
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$836M
Tracked Passive Exposure
7
ETFs Holding POW
0.08%
Avg Weight in ETFs
$1.1T
Total ETF AUM

When investors buy or sell ETFs like VYMI or SPDW, the fund manager is mechanically forced to buy or sell POW shares regardless of POW's individual fundamentals. We estimate $836M of passive capital is structurally linked to POW through 7 tracked ETFs. Passive flows have a limited but growing influence on POW's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 7 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

Simulate a price drop in POW to visualize passive redemption contagion across ETFs and collateral stocks.

POW Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
POWEpicenterVXUSETFVEAETFVEUETFSMSNUnknown2330UnknownTSMLow Risk005930UnknownA000660Unknown
POW Price Drop (%)0

If POW (POW) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAMSUNG ELECTR GDR REG S (SMSN) as the most exposed collateral stock, sharing 2 ETFs with POW. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 7 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

POW Ownership Dynamics

Ticker
POW

Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

Fails-to-Deliver (FTD) History

SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.

DateFailed SharesClose PriceNotional Value
2026-05-12213$33.48$7,131.24
2026-05-082,137$32.26$68,939.62
2026-05-07501,105$33.24$16.7M
2026-05-0662,877$32.78$2.1M
2026-05-0519,597$31.63$619,853.11
2026-05-041,907$31.61$60,280.27
2026-04-27127$30.60$3,886.2
2026-04-241,953$29.24$57,105.72
2026-04-23160$28.68$4,588.8
2026-04-22160$27.71$4,433.6
2026-04-2089$27.95$2,487.55
2026-04-161,631$27.12$44,232.72
2026-04-152,807$27.54$77,304.78
2026-04-14314$27.34$8,584.76
2026-04-13921$26.93$24,802.53
2026-04-101,561$26.59$41,506.99
2026-04-0832$24.81$793.92
2026-04-07412$24.59$10,131.08
2026-03-2725$24.22$605.5
2026-03-26342$25.41$8,690.22
2026-03-25308$24.93$7,678.44
2026-03-245,838$24.91$145,424.58
2026-03-23310$24.02$7,446.2
2026-03-20310$24.91$7,722.1
2026-03-19401$24.59$9,860.59
2026-03-18874$24.82$21,692.68
2026-03-17386$24.40$9,418.4
2026-03-11112$24.14$2,703.68
2026-03-05776$24.46$18,980.96
2026-03-04961$24.31$23,361.91

Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.

Compare POW to Peers

Quant metrics computed deterministically from financial statements and price data. Updated: N/A.

SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.