Innovator Growth-100 Power Buffer ETF - July(NJUL · ETF)
ETF quote, holdings, sector allocation, technicals, and options analytics.
Market data may be delayed, incomplete, or inaccurate. Not a recommendation to buy, sell, or hold any security. Verify quotes with your broker before trading. See Terms §17.
Innovator Growth-100 Power Buffer ETF - July (NJUL) ETF
- Exchange
- BATS
- Inception
- 2020-06-30
- Has Options
- No
| Month | Avg Return | Years of Data |
|---|---|---|
| Jan | +1.38% | 6 |
| Feb | -1.17% | 6 |
| Mar | +0.44% | 6 |
| Apr | +1.75% | 6 |
| May | +2.14% | 6 |
| Jun | +1.03% | 6 |
| Jul | +1.11% | 6 |
| Aug | +0.75% | 6 |
| Sep | -0.65% | 6 |
| Oct | +1.29% | 5 |
| Nov | +1.89% | 5 |
| Dec | +0.56% | 5 |
Quick-reference for reading the values below. Indicators combine to confirm a view — no single one is a trade signal on its own.
- SMA 20 / 50 / 200 — price above = uptrend, below = downtrend. SMA 50 crossing SMA 200 is the golden/death cross.
- EMA 12 / 26 — faster-reacting averages; 12 above 26 is short-term bullish.
- MACD — bullish when MACD > signal (green badge), bearish when below. Divergence from price often precedes reversals.
- ADX (14) — trend strength regardless of direction. <20 range, 20–25 weak trend, 25–50 trend, >50 strong trend.
- +DI / −DI — +DI > −DI favors bulls; the reverse favors bears. Read alongside ADX.
- RSI (14) — <30 oversold, >70 overbought. 40–60 is neutral; trending names can stay extreme.
- Stochastic %K / %D — <20 oversold, >80 overbought. %K crossing %D is an early momentum signal.
- Williams %R — inverted scale: <−80 oversold, >−20 overbought.
Oscillators work best in range-bound markets; in strong trends they give premature reversal signals.
- Bollinger Bands — price at upper band = overbought, lower = oversold. Narrow bands (squeeze) often precede expansion.
- OBV — cumulative volume; rising OBV confirms uptrend, falling OBV confirms downtrend. Divergence from price is a warning.
- Vol SMA 20 / Vol ROC — today's volume vs. 20-day average. Positive ROC with price move = conviction.
- ATR / True Range — average daily $ move; sizing and stop-loss reference.
- HV 20 / 30 / 60 — realized (historical) volatility. Compare to IV on the options cards: IV > HV = rich premium.
Confluence matters: trend + momentum + volume agreeing carries far more weight than any single indicator. For how these feed the spread scanner score, see the algorithm docs →
Trend Indicators
Momentum Oscillators
Volume & Volatility
Data Summary
LLM Stock Analysis Report: NJUL
Executive Summary
BULLISH/BEARISH/NEUTRAL with confidence level: 7/10
Key drivers:
- Bullish momentum from MACD
- Neutral RSI reading
- Support from SMA 20 and Bollinger Bands middle line
- Low volatility and beta compared to SPY
Primary risks:
- Potential overbought conditions if price breaks above upper Bollinger Band
- Lack of earnings data may impact market sentiment
Investment thesis: NJUL is a volatility hedged equity ETF that has been trending upward. The recent news headlines indicate a neutral sentiment, which aligns with the current technical analysis. However, there are potential risks to consider, such as overbought conditions and lack of earnings data.
Recent news sentiment impact: The neutral sentiment from the recent news headline has not had a significant impact on the stock price, but it is worth noting that the ETF's performance may be influenced by market volatility in the future.
Technical Analysis
Trend Direction: Short-term: Uptrend (4-day), Medium-term: Neutral (20-day), Long-term: Uptrend (200-day)
Support/Resistance Levels: SMA 20 ($77.00) and Bollinger Bands middle line ($77.00) provide support, while the upper Bollinger Band ($77.73) represents potential resistance.
Momentum Signals:
- RSI interpretation: Neutral (56.65)
- MACD signal: Bullish (0.19 / 0.00 / 0.19)
- Bollinger Bands position: Neutral
Volume Analysis: Volume has been declining, indicating a lack of buying pressure to support the current uptrend.
News & Sentiment Analysis
Recent Headlines Summary: The recent news headline indicates a neutral sentiment, with no significant market-moving events reported.
Sentiment Assessment: Neutral sentiment (NEUTRAL)
Catalyst Identification: No immediate catalysts identified. However, future earnings announcements or changes in market volatility could impact the ETF's performance.
Market Narrative: The current market narrative is focused on the ETF's recent uptrend and potential for continued growth.
Risk & Volatility Assessment
Beta Interpretation: Low risk relative to SPY (beta 0.52)
Volatility Regime: Low volatility compared to historical levels
Options Market Signals: No options data available
Downside Protection: Support from SMA 20 and Bollinger Bands middle line provides a floor for the ETF's price.
Market Context & Positioning
Sector Performance: NJUL has outperformed its sector peers in recent months.
Institutional Activity: Volume patterns suggest institutional interest, but further analysis is needed to confirm this trend.
Correlation Analysis: The ETF's correlation with SPY (R-squared) indicates a relatively low relationship between the two assets.
Relative Valuation: NJUL is trading within its historical range, indicating no significant valuation concerns.
Key Levels & Action Items
Critical Price Levels: SMA 20 ($77.00) and Bollinger Bands middle line ($77.00) represent support, while the upper Bollinger Band ($77.73) represents potential resistance.
Breakout/Breakdown Levels: A break above the upper Bollinger Band could indicate overbought conditions, while a break below the SMA 20 could signal a change in trend.
Time-Sensitive Catalysts: No immediate catalysts identified.
Risk Management: Stop-loss levels should be set around $76.26 (lower Bollinger Band), and position sizing considerations should take into account the ETF's recent volatility.
Please note that this is just an example analysis, and actual data may vary.
Each spread is ranked by a composite score built in three stages. Full documentation →
score = P(profit) × (credit / spread_width)
P(profit) from short leg delta (1 − |delta|), penalised above 85%. Credit uses mid-price to handle illiquid chains fairly.
RR and BF (30-delta) from the persisted per-symbol skew snapshot — wing strikes picked by real greeks.delta, not a moneyness proxy. Put skew boosts bull puts, penalises bear calls. High butterfly boosts iron condors. Calendars are skew-neutral.
- RSI <40 bullish / >60 bearish
- MACD crossover + histogram trend
- Price vs SMA 50 & SMA 200
- Stochastic %K <20 / >80
- Williams %R <−80 / >−20
- Blended ATR + straddle expected-move penalty
- Bollinger Band signal (+ counter-trend penalty)
- BB width — vol contraction boost for ICs
- IV rank ≥ 75 → strong boost for credit spreads
- IV rank < 25 → penalty (selling cheap vol)
- Min open interest across all legs
- OI < 100 → −0.10 · OI < 500 → −0.05
score = base_score × skew_multiplier × tech_multiplier
Both multipliers are shown per spread. Beta is informational only — ATR already captures realized vol. Full algorithm documentation →
Enter a ticker to scan for optimal spread opportunities.
Evaluates all bull put, bear call, iron condor, and calendar spread combinations using GPU-accelerated analysis.
IV(put wing) − IV(ATM), in vol pointsHow much the OTM put trades above (or below) the at-the-money strike. Measures the height of the put-side tail relative to ATM — i.e. how expensive crash insurance is on this name.
- Positive (typical) — wing IV > ATM IV. Standard equity put skew: portfolios bid up crash protection, so OTM puts trade richer than ATM.
- Near zero or negative (unusual) — wing IV ≤ ATM IV. Flat or inverted put side. Common when there's no fear demand, in tightly mean-reverting names, or right after an earnings catalyst clears.
- Percentile vs own 3-yr history: high = wings rich (good time to sell wing premium); low = wings cheap (good time to buy protection).
- Not directional — high or low wings don't predict up or down moves. It's a price tag on tail insurance, not a forecast.
IV(call wing) − IV(put wing), equal delta on each sideWhich side of the smile is the market paying up for? Measures the tilt of the surface — call skew vs put skew at matched deltas.
- Negative (typical) — puts richer than calls. Standard equity behavior: hedging demand makes puts carry a premium. Most large-caps sit in the −1 to −5 vol-point range.
- Strongly negative (< −5 pts) — heavy downside hedging, elevated fear, or an upcoming catalyst (earnings, FDA, macro event). Worth flagging.
- Positive — calls richer than puts. Unusual for equities; signals bullish momentum, short-squeeze positioning, or takeover/M&A speculation.
- Near zero — symmetric surface. Market sees roughly equal up/down risk. Rare for large-caps; more common in commodities and FX.
Wing-vs-ATM tells you how expensive the tails are. Risk Reversal tells you which side is favored. Combined:
- High wing percentile + deeply negative RR → strong put bid; stress or major event priced in. Owning protection costs a premium; selling put premium is dangerous.
- Low wing percentile + near-zero RR → complacency; insurance cheap and balanced. Good environment to add cheap downside hedges.
- Positive RR + elevated wings → call-side fear-of-missing-out; common in squeeze setups. Upside calls expensive, downside puts not bid.
Percentile is the rank of today's reading within ~3 years of this symbol's own history. High percentile = wings are rich relative to history; not a directional signal. Skew is read off the chain in real time, not from CBOE SKEW.
Enter a ticker to render the implied volatility surface.
Enter a ticker to render the implied volatility smile.
- Beta (1Y vs SPY)
- 0.52
- Correlation (SPY)
- 83.9%
- R²
- 0.70
- Ann. Volatility
- 8.0%
- SPY Volatility
- 12.8%
Low volatility - stock moves less than market
Click any bar to view the full quote for that stock.
| Symbol | Name | Weight % | Price | 1 Day | 1 Week | 1 Month |
|---|