It's Been 6 Years Since the 2020 Market Crash. Here's How Much the S&P 500 Has Rallied Since Then

The S&P 500 bottomed at 2,191.86 on March 23, 2020 and closed at 6,581 six years later — roughly a 3x gain, implying ~20% annualized return vs a long-run ~10% CAGR. The article argues that buying during the March 2020 panic (or holding through it via index funds) produced substantial above‑average returns and emphasizes staying invested and focusing on valuation when markets sell off. It is a retrospective, investor-advice piece rather than new market-moving information.

Analysis

The March‑2020 lesson is not just ‘buy the dip’ — it’s that structural winners with durable cashflow and self‑reinforcing demand capture asymmetrically more of the recovery than broad indices. In the current cycle that favors AI and scale content platforms, NVDA benefits from quasi‑irreplaceable GPU economics at hyperscalers and enterprise inference clusters, while NFLX’s incremental margins from price increases + ad tiers can convert into outsized free cash flow over 12–36 months. Intel sits on the opposite side: IDM investment and capital intensity create optionality, but process execution risk and a multi‑year capacity pivot mean near‑term market positioning will underperform GPU/accelerator capture.

Second‑order supply effects matter: as GPU supply normalizes, a used/hyperscaler secondary market will cap new‑hardware ASPs within 12–18 months, compressing NVDA’s near‑term hardware margins even as unit demand holds. That eases entry for competitors (AMD, ML accelerators) and raises the bar for NVDA to monetize software/cloud margins. For content platforms, higher content amortization efficiency and ad monetization can decouple subscriber counts from profitability — a positive for NFLX but a vulnerability if advertising or engagement falters during a macro slowdown.

Key reversals to watch are macro rate shocks, regulatory actions on data/AI, or a tangible beat from Intel’s foundry roadmap that re‑prices capital intensity benefits into growth. Time horizons differ: days = liquidity squeezes and retail flows; months = earnings/capex cadence and supply normalization; years = structural adoption and competitive moat durability. Position sizing and active hedging are essential: crowded longs will see 20–40% drawdowns if sentiment flips, while correct secular calls can deliver multiples over 2–4 years.

Key Decisions for Investors

• Long NVDA (directional) via a 12–18 month call‑spread to cap premium paid: buy 12–18 month LEAP calls and sell a higher strike to fund ~50–70% of cost. Rationale: capture continued AI capex (~40%+ upside scenario) while limiting delta‑bleed; risk = premium paid (expected loss capped), reward = 2–4x if NVDA sustains AI pricing power.
• Pair trade: long NVDA / short INTC equal dollar, 6–18 month horizon. Rationale: express secular GPU share gains vs Intel process/capex lag; target relative outperformance of 30–50% with portfolio neutral beta. Risk: Intel execution surprise or NVDA multiple mean reversion; size = modest (1–3% net exposure).
• Long NFLX with downside protection, 6–12 months: buy shares or LEAP and buy a 6–12 month 7–10% OTM put (or collar by selling a near OTM call). Rationale: monetize ad/price mix improving margins; reward = 20–40% upside if monetization continues, risk = put premium (~cost) protecting vs 10–25% drawdown.