Nvidia’s Revenue Outlook and Expanding AI Ambitions
Nvidia reports quarterly results after the US close, with forecasts pointing to revenue above $92bn and earnings per share of $2.09. The company previously guided to Q2 revenue of $91bn, plus or minus 2%, after Q1 revenue rose 85% year on year. Attention is also on any indication of a path towards $100bn in quarterly revenue, following earlier references to accelerating demand for its GPUs. The shares rose 2% on Tuesday, rebounding from 50-day SMA support at $207 to $213, and were slightly higher pre-market; technicians are watching $216 on the upside and $195, then $190, on the downside.
Beyond sales, markets are parsing a shifting balance sheet as Nvidia expands from chipmaking into financing AI infrastructure. It agreed a $105bn financing package for an Ohio data-centre project leased to OpenAI for 20 years, alongside a $1.5bn investment in SB Energy, and this follows a $100bn partnership targeting 10 gigawatts of future data centres. In August, it also announced a $500bn AI financing platform with five other institutions. “Non-marketable securities” rose to $43bn last quarter from $3bn a year earlier, while the group’s $5.2tn market value and a forward P/E of 23 versus the S&P 500’s just above 20 keep valuation sensitivity high as net income and unrealised gains come into focus.
Options Market Dynamics and Strategies Ahead of Earnings
As Nvidia prepares to report tonight, derivative traders should brace for massive swings given the stock’s astronomical $5.2 trillion market cap. Historically, Nvidia’s options market prices in an average post-earnings move of about 8% to 10%, which currently translates to a potential $17 to $21 price swing from the current $213 level. We believe trading this event requires carefully managing the inevitable post-earnings implied volatility crush, which typically collapses option premiums immediately after the announcement.
For bullish traders targeting a breakout above the key $216 resistance level, buying straight call options is highly risky due to these inflated pricing premiums. Instead, we recommend utilizing bull call spreads to offset the high cost of implied volatility while still positioning for a run toward new highs. This strategy limits your upfront capital risk while still capitalizing on the potential projection of $100 billion in quarterly revenues.
Risk Mitigation and Volatility Tactics
Conversely, the company’s rapid shift into an AI financier with over $43 billion in non-marketable securities introduces new balance sheet risks that the market may not fully appreciate yet. If investors react negatively to these long-term debt exposures, the stock could easily break below its 50-day moving average of $207 and slide toward $195. To hedge against this downside over the coming weeks, we favor executing bear put spreads targeting the $190 support floor established at the end of July.
Range-bound traders can also exploit the high-premium environment by deploying short iron condors with boundaries set outside the market’s expected 10% move. Historically, selling premium right before the market close and buying it back after the morning volatility crush has been a reliable strategy during major tech earnings. We advise keeping position sizes smaller than usual, as any surprise updates regarding the $105 billion OpenAI data center partnership could trigger an outlier move that breaks traditional technical boundaries.
