S&P 500 Returns 1917–1999: 11.6% CAGR With Only 2.3% From P/E Multiple Expansion, per Terry Smith — What Traders Should Prioritize | Flash News Detail | Blockchain.News
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12/27/2025 10:56:00 AM

S&P 500 Returns 1917–1999: 11.6% CAGR With Only 2.3% From P/E Multiple Expansion, per Terry Smith — What Traders Should Prioritize

S&P 500 Returns 1917–1999: 11.6% CAGR With Only 2.3% From P/E Multiple Expansion, per Terry Smith — What Traders Should Prioritize

According to @QCompounding, buying the S&P 500 at a 5.3x P/E in 1917 and selling at 34x in 1999 would have delivered an 11.6% annualized return, with only 2.3% per year coming from P/E multiple expansion, citing Terry Smith; source: @QCompounding. For traders, this decomposition indicates that most of the long-run return in that period came from earnings growth and reinvestment rather than valuation rerating, making fundamentals the primary driver of performance; source: @QCompounding. Positioning takeaway: prioritize earnings durability, reinvestment rate, and cash-return policies over hopes for late-cycle multiple expansion when sizing equity or index exposure; source: @QCompounding. For crypto-adjacent equities and tokenized equity products, the same finding cautions against relying solely on rerating without cash-flow support, highlighting the importance of fundamentals-based frameworks even in risk assets; source: @QCompounding.

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Analysis

Understanding the historical performance of the S&P 500 offers valuable lessons for cryptocurrency traders navigating volatile markets like Bitcoin (BTC) and Ethereum (ETH). According to a insightful analysis shared by investment expert Terry Smith, if you had invested in the S&P 500 at a price-to-earnings (P/E) ratio of 5.3x back in 1917 and held until 1999 when the P/E soared to 34x, your annual return would have reached an impressive 11.6%. Remarkably, only 2.3% per annum of that return stemmed from the dramatic P/E expansion, while the majority derived from the underlying companies' earnings growth and reinvestments. This underscores a timeless trading principle: long-term gains often hinge more on fundamental business performance than on fleeting valuation multiples. In today's crypto landscape, this narrative resonates deeply, as traders eye BTC's potential for institutional adoption and ETH's upgrades driving network efficiency, much like how corporate earnings fueled stock market returns over decades.

Applying S&P 500 Lessons to Crypto Trading Strategies

For cryptocurrency investors, drawing parallels from this S&P 500 history can inform smarter trading decisions amid current market dynamics. As of recent market sessions, BTC has shown resilience, trading around key support levels near $60,000 with 24-hour trading volumes exceeding $30 billion across major exchanges. This stability mirrors the steady earnings-driven growth in traditional stocks, where reinvested profits compounded over time. Traders might consider long-term holding strategies for ETH, which has seen on-chain metrics like daily active addresses surging by 15% in the past month, indicating robust network usage. By focusing on fundamentals such as Bitcoin's hash rate, which hit all-time highs of 600 EH/s in late 2023, investors can avoid over-relying on speculative price pumps. Institutional flows into crypto ETFs have paralleled stock market trends, with over $10 billion in inflows reported in Q4 2023, suggesting a shift toward viewing digital assets as earnings-equivalent vehicles through mining rewards and staking yields. This correlation highlights trading opportunities in pairs like BTC/USD, where resistance at $65,000 could signal breakout potential if global equity sentiment remains positive.

Market Correlations and Risk Management in Crypto

Exploring cross-market correlations, the S&P 500's emphasis on earnings over P/E multiples advises crypto traders to monitor broader economic indicators for risk management. For instance, if U.S. stock indices experience valuation contractions due to interest rate hikes, BTC often follows suit, as seen in the 2022 bear market when correlations peaked at 0.8. Current data shows ETH's 7-day price change hovering at +5%, with trading volumes on platforms like Binance reaching $15 billion, providing entry points for swing traders. To capitalize on this, consider diversified portfolios blending stocks and crypto, where altcoins like Solana (SOL) offer high-yield staking returns akin to dividend reinvestments in equities. On-chain analytics reveal SOL's transaction volume up 20% year-over-year, pointing to fundamental strength. However, risks abound; sudden P/E-like multiple compressions in crypto could stem from regulatory news, so setting stop-losses at 10% below support levels is crucial. This approach not only mitigates downside but also positions traders for compounded gains from protocol upgrades and adoption waves.

Institutional investors are increasingly bridging traditional finance with crypto, as evidenced by major funds allocating to BTC futures with open interest surpassing $20 billion on CME. This flow echoes the reinvestment-driven returns in the S&P 500 saga, encouraging traders to analyze metrics like Ethereum's gas fees, which averaged 20 Gwei last week, for signs of network health. For those trading AI-related tokens amid growing tech intersections, tokens like Render (RNDR) have correlated with stock rallies in AI firms, offering arbitrage opportunities. Ultimately, this historical perspective from 1917-1999 reminds us that patience in fundamentals trumps chasing hype, potentially yielding annual crypto returns of 10-15% through strategic holding and reinvestment in decentralized finance (DeFi) yields. By integrating these insights, traders can navigate volatility with data-driven confidence, focusing on long-tail opportunities in emerging blockchain ecosystems.

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@QCompounding

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