Direction
CALL
Options Radar › NVDA
3DTE · MOMENTUM CONTINUATION
NVDA 3DTE Options Signals & Strategy
Quantitative momentum continuation signals for NVIDIA Corp. (NVDA), generated by the AlphaDash Options Radar.
Live NVDA Signal
Updated 2026-07-13 16:56:18 ETSpot
$203.65
Strike
$207.5
Entry
$0.98–$1.05
Confidence
69%
Target
+40%
Stop
-6%
Expected Move
±$0 (0%)
Implied Vol
0% (—)
VWAP
$—
Expiry
2026-07-15
Status
ACTIVE
📊 Trend reversal BULLISH (DOWNTREND -> breakout) | trend=DOWNTREND, broke resistance +0.0%, BB expanding +26%
How the NVDA strategy works
NVDA trends on AI-cycle flows and is highly IV-sensitive around events. The momentum engine requires a volume-confirmed swing breakout above/below VWAP and scales the contract to a ~0.40 delta so premium stays reasonable when IV is elevated.
The engine confirms every entry with session VWAP, relative volume and ATR-normalised distances, then sizes the contract near a 0.4 delta and scales the profit target to the day's expected move implied by at-the-money volatility. This is educational quantitative research, not a recommendation.
Frequently asked questions
What is AlphaDash's NVDA options strategy?
NVDA trends on AI-cycle flows and is highly IV-sensitive around events. The momentum engine requires a volume-confirmed swing breakout above/below VWAP and scales the contract to a ~0.40 delta so premium stays reasonable when IV is elevated.
What does the NVDA options signal show right now?
AlphaDash's engine currently reads a CALL setup on NVDA at $203.65 with 69% conviction, targeting the $207.5 call expiring 2026-07-15.
Why does NVDA use a momentum continuation model instead of one generic strategy?
NVIDIA Corp. has a distinct volatility and trend profile, so AlphaDash tunes the Bollinger, ATR and volume thresholds per instrument. NVDA is traded as a 3DTE play with contracts selected near a 0.4 delta.
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Open the Options Radar →EDUCATIONAL USE ONLY. NOT FINANCIAL ADVICE. Options trading involves substantial risk of loss. AlphaDash provides algorithmic research and simulated data for educational purposes.