QQQM Invesco NASDAQ 100 ETF chart & analysis
Conviction 72FinancialsScan · Fri, Nov 6, 2026Invesco NASDAQ 100 ETF (QQQM) closed at $270.22 (+1.26%) on Nov 6, 2026. Price is below its 50-day and below its 200-day moving average. RSI(14) 31, RS Rating 49, -14.0% from its 52-week high, +6.8% year to date. Sector: Financials · Investment Advice.
QQQM technical analysis
Trend
QQQM's moving averages are mixed — no clean uptrend or downtrend. It closed 9.0% below the 50-day ($296.88) and 3.6% below the 200-day ($280.35). ADX(14) at 33 points to a strong, established trend. It meets 4 of 8 trend-template criteria.
Momentum
RSI(14) is 31, in the bearish half of its range. The MACD histogram is negative. A bullish RSI divergence is in place. Its RS Rating of 49 puts its weighted 12-month performance ahead of about 49% of the US market.
Volume and volatility
Volume on the latest session ran 1.2× its 20-day average. It trades about $1.3B a day on average. ATR(14) is $6.28, 2.3% of price — its typical daily range. On-balance volume is trending down. Chaikin Money Flow (-0.31) shows distribution.
Key levels
The chart pattern's support is $284.19 and its resistance $311.12. The 52-week range is $228.75 to $314.12; price is 14.0% below the high and 18.1% above the low. The VWAP anchored at the 52-week high is $289.60, above price.
Performance
QQQM returned -5.0% (1 week), -12.2% (1 month), -9.0% (3 months), -7.7% (6 months), +5.3% (1 year), +6.8% (year to date).
About Invesco NASDAQ 100 ETF
Investment Advice · Listed 2020
Signal lifecycle
How this symbol has moved through the lanes across 60 scans — each scan is re-classified from that day's price, so gaps are days it dropped off the board entirely.
- Setting upSep 4 – Sep 93 scans
- Breaking out nowSep 211 scan
Congress activity
Disclosed STOCK Act trades in QQQM · 1 recent
| Member | Side | Amount | Traded | Filed | PTR |
|---|---|---|---|---|---|
Scott Scott Franklin house · R · FL · traded 2024-08-07 | Buy | $1K–$15K | 2024-08-07 | 2025-07-03 |
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Educational data, not financial advice. Patterns, levels and the trade plan are algorithmic, not a recommendation to trade.