
SQQQ • NASDAQ
Unlock comprehensive alternative data signals to make better investment decisions

Track website visits, page views, unique visitors, and engagement metrics over time to gauge online interest and brand strength.

Monitor Twitter follower growth, engagement rates, and social media presence to understand brand reach and community sentiment.

Analyze TikTok follower trends and viral content performance to measure youth demographic appeal and cultural relevance.

Track Facebook page likes, comments, shares, and post engagement to assess community interaction and brand loyalty.

Monitor Instagram follower growth, engagement rates, and visual content performance across demographics.

Track YouTube channel growth, video views, and subscriber engagement to measure content marketing effectiveness.

Monitor LinkedIn company page followers and professional network growth to assess B2B brand strength and talent attraction.

Track open job positions and hiring trends as a leading indicator of company expansion, contraction, or strategic shifts.

Monitor employee headcount changes on LinkedIn to gauge organizational growth, restructuring, or cost-cutting measures.

Analyze sentiment scores from Reddit discussions to understand retail investor mood and potential price momentum.

Track daily news mentions across major publications to measure media attention, PR effectiveness, and market awareness.

View key financial metrics including Revenue, Net Income, EPS, Free Cash Flow, EBITDA, and Total Assets. Access 2-year quarterly charts for Revenue & Income and Free Cash Flow trends.

Analyze technical indicators including 50-day Simple Moving Average (SMA) with price overlay and Relative Strength Index (RSI) charts.
TrendEdge provides tools and data for research and educational purposes only and does not provide investment advice or personal recommendations.
You don't hold SQQQ in your mock portfolio yet.
ProShares UltraPro Short QQQ (SQQQ) is a leveraged inverse ETF, not an operating company, so traditional financial metrics like revenue, EPS, and PE are not meaningful in the usual sense. The reported PE of 0.00 and EPS of 0.00 reflect the fund structure and accounting rather than underlying business weakness or strength. Performance is driven almost entirely by the daily -3x exposure to the Nasdaq‑100, plus fees and tracking effects, rather than organic profitability.
At $62.79, SQQQ is down 8.3% over the last month and trades well below its 200‑day moving average of $93.48, signaling a prevailing downtrend in the ETF and, by implication, a strong uptrend in the underlying Nasdaq‑100. An RSI of 64.57 is elevated but not yet overbought, suggesting recent buying interest but within a broader longer‑term decline. The combination of price below the 200‑day moving average and recent negative performance points to continued bearish conditions for SQQQ itself.
For a specialized trading vehicle like SQQQ, the most relevant alternative signals are measures of trading interest and risk sentiment (e.g., search trends, social media chatter, and flows), rather than traditional business metrics like job postings or app downloads. While specific quantitative alternative data were not provided, leveraged inverse ETFs typically see spikes in attention and volume during periods of market stress and declining interest when markets trend higher. Given the current price weakness in SQQQ and strong underlying equity markets, alternative data are likely to show moderating retail fear and lower speculative demand, but not a clear directional signal beyond what is already implied by price.
The evidence points to a bearish outlook on SQQQ itself, which is consistent with a constructive environment for the Nasdaq‑100. The ETF trades far below its 200‑day moving average and has declined over the past month, and its structure as a leveraged inverse product makes long‑term holding inherently unfavorable. Unless market conditions shift sharply in favor of sustained Nasdaq‑100 weakness, the risk‑reward profile for SQQQ appears skewed to the downside for longer‑duration investors.


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Our AI Score rates companies on a scale from 0 to 10, based on alternative data points such as web traffic, app downloads, and job postings — combined with financial health indicators and technical signals.
Key moves vs recent baseline (last day / last week)
Plain-English summary of the biggest drivers (informational)
Potential risk factors to review
Based on earnings timing, volatility, liquidity and crowd activity. Informational signals only — not investment advice.
Reassess your thesis if any of these occur: