The Nasdaq lost about 5.5% on Thursday, November 5. The S&P 500 fell roughly 4.4%, and the Dow dropped about 3.4%. Nvidia fell around 9%, while the Philadelphia semiconductor index plunged about 12%. Those rounded closing figures come from Reuters’ end-of-day market analysis, syndicated by Global Banking & Finance Review.
The selling started with a specific worry: investors were reassessing how quickly the AI infrastructure boom could keep growing after this week’s Democratic election victories. It spread well beyond chipmakers. All 11 S&P 500 sectors finished lower, according to Reuters.
A red screen makes every decision feel urgent. Sell before it gets worse. Buy before the bounce. Find an option trade that pays for the damage.
I’d start with a less exciting question: how much more downside can this account actually take?
That answer matters more than guessing tomorrow’s opening price. A long-term investor with cash and a diversified portfolio has different choices from someone holding concentrated shares on margin or calls that expire Friday. The same market decline can be an inconvenience for one account and a forced liquidation for another.
What caused today’s selloff?
The main reported catalyst was concern about the next stage of the AI buildout. Investors feared that Democratic gains in Congress and governor races, together with local opposition to datacenters, would bring tougher scrutiny and slow new projects. The Guardian’s closing report described those concerns and reported that the Nasdaq had entered a correction, more than 10% below its recent peak.
That is a change in expectations, not proof that every proposed datacenter will be blocked. But a stock priced for years of fast growth can fall hard when investors start questioning the pace. Chip suppliers, memory makers and other infrastructure businesses all depend, in different ways, on that spending continuing. Reuters reported declines of roughly 17% in AMD, Micron and Marvell, and 22% in SanDisk.
The reversal was especially painful because it followed Wednesday’s post-election rally. The first reaction treated the election result as a potential restraint on the White House. Thursday’s trading focused on what that same result could mean for AI spending and regulation. The political news hadn’t suddenly become a reliable trading signal; investors had changed which consequences they were pricing.
This also wasn’t simply a case of higher Treasury yields crushing stocks. Reuters reported that short-term U.S. yields fell about 12 basis points as traders pushed back expectations for the next Fed rate increase. Meanwhile, The Guardian reported a roughly 61% jump in the VIX. The combination fits a sharp reassessment of growth and risk, with demand for protection rising. It doesn’t tell us where the bottom is.
The two closing reports rounded the S&P’s decline differently: Reuters put it at 4.4%, while The Guardian reported 4.3%. The figures here use Reuters consistently. Neither report gives us a reason to assume the next session must bounce.
Previous selloffs did not all follow the same script
The tempting historical question is, “How much does the market usually bounce after a day like this?” The harder question is what counts as “like this.”
A two-percent drop during a healthy expansion is a different sample from a two-percent drop during a banking crisis. A useful backtest would define the index, daily-loss threshold and lookback period in advance, then show one-week, one-month and one-year outcomes, including the worst interim drawdown. Consecutive down days also overlap; treating each as an independent event can exaggerate the evidence.
Three episodes explain why I’d be cautious about a single average:
| Episode | What made the recovery different | Lesson for a trade |
|---|---|---|
| October 1987 | The crash involved market structure, portfolio insurance and liquidity stress. The Federal Reserve supplied liquidity to support market functioning. | Forced selling can drive prices beyond what an earnings story explains. Leverage can still force you out before conditions improve. |
| February–March 2020 | The pandemic shock was followed by extraordinary monetary and fiscal support. U.S. stocks subsequently recovered rapidly. | A fast rebound can leave a late hedge losing value even while the economic news remains awful. |
| 2022 | Inflation and monetary tightening repeatedly challenged valuations. The decline included rallies that did not end the broader selloff. | A bounce does not establish that the rate or earnings problem has been resolved. |
These are examples of different mechanisms, not a statistical forecast for the next session. The Federal Reserve’s history of the 1987 crash, its 2020 monetary policy report, and its 2022 monetary policy report provide background on those conditions.
The practical takeaway is that both outcomes belong in the plan: a rebound that punishes expensive bearish options, and another leg down that punishes an oversized dip buy. Recoveries can also look very different for an index and an individual stock. A business with permanently damaged earnings has no obligation to regain its old high.
What I’d do before opening another position
First, write down the exposure already on the books. Shares, short puts and bullish spreads can all be versions of the same bet. Owning several tickers doesn’t help much if all of them respond to the same interest-rate or growth shock.
Second, check cash needs, margin and expiration dates. Money needed soon should not depend on a market recovery arriving on schedule. An option with a week left can expire before a sensible long-term thesis gets a chance to work.
Third, decide how much additional loss is acceptable in dollars. If another ten-percent decline would force a sale, reducing the position may solve the problem more directly than buying a complicated hedge. Cash has no expiration date and no bid-ask spread to cross.
For new purchases, I’d prefer a written allocation plan over one large order made in frustration. Buying in stages doesn’t guarantee a better price. It does reduce the pressure to identify the exact bottom with the entire allocation.
Match the option strategy to the problem
Today’s volatility jump changes the trade-offs. Higher implied volatility can make purchased protection costly and make short-option premiums look tempting. That richer premium comes with a market expecting larger moves. A put seller is accepting that risk, not collecting a discount without consequences. Spreads can reduce the premium outlay, but they also limit the payoff.
The prices below are hypothetical, per share, with standard 100-share contracts. They exclude fees and assume positions held to expiration. Actual quotes, liquidity and implied volatility must be checked before trading.
Worried about another drop: a bear put spread
Suppose an ETF trades at $500. Buying a $500 put and selling a $470 put with the same expiration for a net $8 debit costs $800 per spread. At expiration, maximum loss is $800, maximum profit is $2,200, and breakeven is $492.
The short put helps finance the hedge, but protection stops increasing below $470. Against 100 shares bought at $500, the combined maximum downside at expiration is $47,800: the shares can still fall to zero while the spread pays at most $3,000. This is a limited cushion, not a full crash floor. Before expiration, the result also depends on time and volatility.
I would use the bear put spread when that limited protection matches a specific risk budget. Buying it after volatility has jumped can be expensive. A rebound and a drop in implied volatility can both hurt its value.
Want to keep shares: a collar
For 100 shares at $100, imagine buying a $95 put for $3 and selling a $110 call for $2, using the same expiration. That’s a collar. The net option cost is $100. Including that cost, maximum loss from a new $100 share entry is $600, and maximum gain is $900 at expiration.
The floor comes with a ceiling. A sharp recovery through $110 means giving up further upside, and the short call can be assigned early, especially around an ex-dividend date. Existing shareholders should calculate the result from their actual cost basis and consider tax consequences. A protective put versus collar comparison can help decide whether the premium savings justify selling that upside.
Willing to own more shares: a cash-secured put
Selling a $90 put for $3 brings in $300 per contract. If assigned, the effective purchase price is $87 per share before fees. I’d reserve the full $9,000 strike obligation rather than depend on margin. The cash-secured put guide explains the collateral and assignment mechanics before placing that order.
That premium is compensation for taking downside risk. If the shares finish at $60, the position loses $2,700 at expiration. If they go to zero, maximum loss is $8,700. If they rebound without assignment, the most the seller earns is $300.
I would only consider this when the stock, position size and $87 effective entry already fit the portfolio. Selling puts to repair losses elsewhere is an easy way to concentrate the same risk. A wheel strategy doesn’t remove that problem; covered calls after assignment cannot guarantee recovery of a large share-price loss.
Expect a rebound but want a fixed loss: a bull call spread
With an ETF at $500, buying a $500 call and selling a $520 call for a $7 net debit risks $700 per spread. Maximum profit is $1,300 and breakeven is $507 at expiration.
This expresses a bullish view with a defined dollar loss, but timing matters. The ETF can recover after expiration and the trade can still lose the entire debit. Selling the higher call also caps the rebound payoff. The bull call spread guide walks through those payoff limits. I’d choose an expiration around the thesis and risk budget, rather than assume a cheaper weekly contract is a bargain.
The decision I would make first
Before choosing strikes, finish this sentence: “If the market falls another ten percent, I will ___.”
If the answer is “sell everything because I can’t carry the loss,” the position is already too large. If the answer is “add a planned amount from cash,” there may be no need to pay option premium. If the answer is “keep the shares but limit the damage through a particular date,” a hedge has a clear job.
I’d rather have a small position I can hold through an ugly week than a clever trade that requires tomorrow to go my way. History leaves room for both a violent bounce and more selling. The account needs to survive either one.