Portfolio Analysis Report — 19-09-2026 19:36

1 Day

Window: 2026-09-18 → 2026-09-19 (2 rows)

Portfolio optimisation is skipped for single-day windows. Showing asset returns and single-asset stats only.

Asset Total Returns

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Assets priced in BTC — 1 Day (normalised to 1.0 at each asset's first real data date · smoothed · 2 rows)

Assets priced in GOLD — 1 Day (normalised to 1.0 at each asset's first real data date · smoothed · 2 rows)

Assets priced in SPX — 1 Day (normalised to 1.0 at each asset's first real data date · smoothed · 2 rows)

1 Week

Window: 2026-09-12 → 2026-09-19 (8 rows)

⚠ This window has only 8 rows. Covariance estimates are noisy — treat allocation weights as directional signals, not precise recommendations.

Claude Narrative Report

## Weekly Portfolio Analysis

This was a strong week for crypto assets, with the newer altcoins dramatically outpacing both traditional markets and established digital currencies. The standout performer delivered roughly triple the return of Bitcoin, while Solana nearly doubled it. Meanwhile, traditional equities and gold barely moved, with the broad market index and Tesla actually finishing slightly negative. This divergence highlights how crypto continues to operate on its own momentum, largely decoupled from conventional risk assets during bullish stretches.

Among the tested portfolio strategies, the equal-weight approach delivered the best overall results, capturing nearly five percent returns while maintaining a respectable risk-adjusted profile. However, this came with substantial volatility — more than five times that of the minimum variance portfolio. The conservative, low-risk allocation heavily favoring gold and equities protected capital effectively with minimal drawdown, but its returns were negligible in a week when crypto surged. The maximum Sharpe portfolio struck a middle ground but still underperformed simple equal weighting, suggesting that in strongly trending crypto markets, sophisticated optimization can actually leave gains on the table.

The single-asset comparison reveals an important tension: the best-performing individual asset returned more than three times what the best diversified portfolio achieved, but did so with extreme volatility approaching one hundred percent annualized. Going all-in on the week's winner would have been spectacularly profitable in hindsight, yet the drawdown exposure was meaningfully higher than any blended approach.

**Takeaway:** When crypto momentum is this strong, a simple equal-weight allocation across assets captures upside better than defensive optimization — but size your overall crypto exposure based on your tolerance for volatility that can exceed traditional markets by a factor of five or more.

Assets priced in BTC — 1 Week (normalised to 1.0 at each asset's first real data date · smoothed · 8 rows)

Assets priced in GOLD — 1 Week (normalised to 1.0 at each asset's first real data date · smoothed · 8 rows)

Assets priced in SPX — 1 Week (normalised to 1.0 at each asset's first real data date · smoothed · 8 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar-C50 — GOLD 44.2%, SPX 36.0%, GOOGL 19.8%
• Highest-return tested portfolio: Equal — BTC 11.1%, ETH 11.1%, SOL 11.1%, HYPE 11.1%, GOLD 11.1%, SPX 11.1%, TSLA 11.1%, GOOGL 11.1%
• Best risk-adjusted tested portfolio: Equal — BTC 11.1%, ETH 11.1%, SOL 11.1%, HYPE 11.1%, GOLD 11.1%, SPX 11.1%, TSLA 11.1%, GOOGL 11.1%
• Lowest-drawdown tested portfolio: MinVar — GOLD 44.2%, SPX 36.0%, GOOGL 19.8%
• Highest-return single asset: HYPE — 15.43%
• Single-asset dominance ratio: 3.131x

1 Month

Window: 2026-08-20 → 2026-09-19 (31 rows)

Claude Narrative Report

Over the past month, crypto assets dominated performance while traditional safe havens struggled. Solana and HYPE both delivered gains in the mid-to-high twenties, dramatically outpacing Bitcoin and Ethereum, which posted more modest double-digit returns. Meanwhile, gold actually lost value and the S&P 500 barely moved, highlighting a clear risk-on environment where speculative assets thrived and defensive positions offered little reward.

The portfolio analysis reveals a stark trade-off between safety and returns. The minimum variance approach, which parked nearly everything in the S&P 500, protected capital with the smallest drawdown but generated essentially zero return. In contrast, the maximum Sharpe portfolio—heavily weighted toward Solana with meaningful allocations to HYPE, a small slice of Google, and some JLP exposure—delivered more than double the return of a simple equal-weight strategy. Notably, this aggressive mix achieved a risk-adjusted return that far exceeded holding any single asset alone, demonstrating that even within volatile crypto markets, thoughtful diversification added value.

The single-asset comparisons underscore why concentration requires caution. While Solana produced the highest raw return, it also carried the deepest drawdown at over eleven percent and extreme volatility. JLP stands out as an interesting middle ground, offering strong returns with more manageable risk than the top performers. The fact that the optimized portfolio beat the best single asset by nearly thirty percent on a risk-adjusted basis suggests that blending high-flyers with stabilizing positions remains worthwhile.

**Takeaway:** If you're comfortable with elevated volatility, tilting heavily toward Solana while diversifying across a few complementary assets like HYPE and JLP can significantly improve your risk-adjusted returns compared to going all-in on any single token.

Assets priced in BTC — 1 Month (normalised to 1.0 at each asset's first real data date · smoothed · 31 rows)

Assets priced in GOLD — 1 Month (normalised to 1.0 at each asset's first real data date · smoothed · 31 rows)

Assets priced in SPX — 1 Month (normalised to 1.0 at each asset's first real data date · smoothed · 31 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 99.9%, GOOGL 0.1%
• Highest-return tested portfolio: MaxSharpe — SOL 50.0%, HYPE 22.6%, GOOGL 18.1%, JLP 9.3%
• Best risk-adjusted tested portfolio: MaxSharpe — SOL 50.0%, HYPE 22.6%, GOOGL 18.1%, JLP 9.3%
• Lowest-drawdown tested portfolio: MinVar — SPX 99.9%, GOOGL 0.1%
• Highest-return single asset: SOL — 27.66%
• Single-asset dominance ratio: 1.283x

3 Months

Window: 2026-06-20 → 2026-09-19 (92 rows)

Claude Narrative Report

Over the past three months, crypto assets dramatically outpaced traditional investments. Solana and Ethereum both roughly doubled the returns of Bitcoin, while gold and the S&P 500 barely moved. Meanwhile, big tech names like Google and Tesla actually lost ground, making this a period where crypto exposure was the clear differentiator between strong and weak portfolio performance.

The portfolio analysis reveals an interesting tension between safety and optimization. The minimum-variance approach, heavily weighted toward the S&P 500 with a small gold allocation, delivered stability but almost no meaningful return. In contrast, the maximum-Sharpe portfolio—concentrated in JLP, Ethereum, and Solana—generated returns more than twenty times higher while maintaining a surprisingly reasonable drawdown relative to its aggressive composition. The equal-weight approach landed in the middle, offering decent returns with moderate volatility, essentially a compromise for investors unwilling to commit fully in either direction.

What stands out most is how well JLP performed on a risk-adjusted basis, delivering returns comparable to holding pure Bitcoin but with less volatility and a shallower maximum drawdown. This suggests that yield-generating DeFi positions can serve as a smoother ride than spot holdings during bullish periods. The single-asset dominance ratio of 1.24 indicates the optimized portfolio only modestly outperformed the best individual asset, meaning concentration in winners wasn't punished this quarter.

**Takeaway:** If you're comfortable with crypto volatility, consider anchoring your portfolio around yield-bearing positions like JLP alongside major layer-ones rather than going all-in on a single token—you capture most of the upside while smoothing out the ride.

Assets priced in BTC — 3 Months (normalised to 1.0 at each asset's first real data date · smoothed · 92 rows)

Assets priced in GOLD — 3 Months (normalised to 1.0 at each asset's first real data date · smoothed · 92 rows)

Assets priced in SPX — 3 Months (normalised to 1.0 at each asset's first real data date · smoothed · 92 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 93.5%, GOLD 6.5%
• Highest-return tested portfolio: MaxSharpe — JLP 50.0%, ETH 33.3%, SOL 16.7%, SPX 0.1%
• Best risk-adjusted tested portfolio: MaxSharpe — JLP 50.0%, ETH 33.3%, SOL 16.7%, SPX 0.1%
• Lowest-drawdown tested portfolio: MinVar — SPX 93.5%, GOLD 6.5%
• Highest-return single asset: SOL — 52.90%
• Single-asset dominance ratio: 1.237x

6 Months

Window: 2026-03-20 → 2026-09-19 (184 rows)

Claude Narrative Report

## Portfolio Analysis: 6-Month Performance Review

The standout story of this period is HYPE's explosive performance, which dwarfed everything else in the sample by a wide margin. While established crypto names like Solana, Ethereum, and Bitcoin all delivered solid double-digit gains, they were far more modest in comparison. Traditional assets painted a mixed picture — the S&P 500 held its ground with steady returns and remarkably low volatility, while Tesla and gold both slipped into negative territory, offering little refuge for defensive investors.

What's striking is how dramatically diversification improved risk-adjusted outcomes. Holding Bitcoin alone meant enduring nearly a thirty percent drawdown while earning returns that barely kept pace with the stock market. The optimized portfolios tell a different story: the maximum Sharpe ratio blend — anchored heavily in the S&P 500 with meaningful allocations to HYPE and Google — delivered nearly triple Bitcoin's return at lower volatility and less than half the drawdown. Even the minimum variance portfolio, which played it extremely safe with an overwhelming tilt toward equities, managed to beat Bitcoin's return while cutting risk by two-thirds.

The single-asset dominance ratio of nearly three-to-one underscores that while HYPE crushed everything on raw returns, its extreme volatility makes it unsuitable as a standalone position for most investors. The data clearly rewards those who blend high-conviction crypto exposure with stabilizing traditional assets.

**Takeaway:** Rather than going all-in on volatile tokens, consider anchoring your portfolio in low-volatility assets like broad market equities and sizing your speculative crypto positions — even the best performers — as meaningful but controlled allocations, typically in the twenty to thirty percent range.

Assets priced in BTC — 6 Months (normalised to 1.0 at each asset's first real data date · smoothed · 184 rows)

Assets priced in GOLD — 6 Months (normalised to 1.0 at each asset's first real data date · smoothed · 184 rows)

Assets priced in SPX — 6 Months (normalised to 1.0 at each asset's first real data date · smoothed · 184 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 93.0%, GOLD 5.3%, JLP 1.7%
• Highest-return tested portfolio: MaxSharpe — SPX 50.0%, HYPE 27.5%, GOOGL 22.5%
• Best risk-adjusted tested portfolio: MaxSharpe — SPX 50.0%, HYPE 27.5%, GOOGL 22.5%
• Lowest-drawdown tested portfolio: MinVar — SPX 93.0%, GOLD 5.3%, JLP 1.7%
• Highest-return single asset: HYPE — 132.78%
• Single-asset dominance ratio: 2.825x

12 Months

Window: 2025-09-19 → 2026-09-19 (366 rows)

Claude Narrative Report

## Portfolio Analysis: 12-Month Performance Review

The past year delivered a stark reminder that crypto assets can severely underperform during certain market cycles. While traditional assets like equities and gold posted healthy gains, the major cryptocurrencies experienced deep losses, with Solana dropping more than half its value and Ethereum losing roughly two-fifths. Bitcoin, often considered the most stable crypto holding, still shed nearly a third of its value. The lone crypto bright spot was HYPE, which surged impressively but carried extreme volatility that would test any investor's nerves with drawdowns exceeding sixty percent.

The portfolio data tells a compelling story about the power of diversification. An equal-weight approach across all assets essentially broke even while enduring significant turbulence. However, the optimized portfolios demonstrated far superior risk-adjusted performance. The minimum variance portfolio, heavily anchored in the S&P 500 with a small gold allocation, delivered mid-teens returns while keeping drawdowns under ten percent. The maximum Sharpe portfolio achieved even stronger returns by blending equities, gold, and a modest HYPE position—proving that selective, limited crypto exposure can enhance returns without derailing overall portfolio stability.

What stands out is how dramatically single-asset crypto concentration would have damaged wealth compared to thoughtful allocation strategies. Holding only Bitcoin, Ethereum, or Solana meant absorbing massive losses and stomach-churning volatility, while the optimized portfolios generated positive returns at a fraction of the risk. **The practical takeaway: rather than betting heavily on any single cryptocurrency, consider keeping crypto exposure to roughly ten percent of your portfolio while anchoring the majority in uncorrelated traditional assets—this approach captured crypto's upside potential this year while avoiding the devastation of an all-in position.**

Assets priced in BTC — 12 Months (normalised to 1.0 at each asset's first real data date · smoothed · 366 rows)

Assets priced in GOLD — 12 Months (normalised to 1.0 at each asset's first real data date · smoothed · 366 rows)

Assets priced in SPX — 12 Months (normalised to 1.0 at each asset's first real data date · smoothed · 366 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 92.8%, GOLD 7.2%
• Highest-return tested portfolio: MaxSharpe — GOOGL 35.6%, SPX 35.2%, GOLD 18.7%, HYPE 10.4%
• Best risk-adjusted tested portfolio: MaxSharpe — GOOGL 35.6%, SPX 35.2%, GOLD 18.7%, HYPE 10.4%
• Lowest-drawdown tested portfolio: MinVar — SPX 92.8%, GOLD 7.2%
• Highest-return single asset: HYPE — 63.87%
• Single-asset dominance ratio: 1.822x

24 Months

Window: 2024-09-19 → 2026-09-19 (731 rows)

Claude Narrative Report

## Portfolio Analysis: 24-Month Performance Review

Over the past two years, this asset universe delivered wildly uneven results. One standout performer—HYPE—generated returns more than twelve times greater than the next best asset, completely distorting the competitive landscape. Meanwhile, the major crypto incumbents disappointed significantly: Bitcoin barely cleared positive territory, Ethereum essentially flatlined, and Solana lost roughly a fifth of its value. Traditional assets like gold and the S&P 500 delivered steady, respectable gains, while Google quietly doubled in value with moderate volatility.

The portfolio analysis reveals a compelling case for diversification over single-asset conviction. Going all-in on Bitcoin would have delivered a 29% return but with gut-wrenching volatility and a drawdown exceeding 50%—meaning an investor would have watched half their portfolio evaporate at the worst point. The optimized MaxSharpe portfolio, by contrast, more than tripled that return while cutting volatility nearly in half and limiting drawdowns to around 21%. Notably, this best-performing portfolio leaned heavily on gold and Google, with only a modest allocation to crypto through HYPE. The minimum variance approaches also outperformed Bitcoin on a risk-adjusted basis while providing a much smoother ride.

The data challenges a common assumption in crypto investing: that holding blue-chip tokens guarantees outperformance. Here, a portfolio anchored by traditional assets with selective crypto exposure crushed a pure Bitcoin strategy on every meaningful metric. The single-asset dominance ratio suggests HYPE's outlier performance heavily influenced the optimized portfolios, but even accounting for that anomaly, the diversified approaches consistently delivered superior risk-adjusted returns.

**Takeaway:** If you're a crypto investor sitting in concentrated BTC or ETH positions, this data suggests you're accepting equity-like volatility for bond-like returns—consider diversifying into traditional assets like gold and quality tech stocks, adding crypto selectively only where risk-adjusted metrics justify the allocation.

Assets priced in BTC — 24 Months (normalised to 1.0 at each asset's first real data date · smoothed · 731 rows · dotted = backfilled prefix: HYPE)

Assets priced in GOLD — 24 Months (normalised to 1.0 at each asset's first real data date · smoothed · 731 rows · dotted = backfilled prefix: HYPE)

Assets priced in SPX — 24 Months (normalised to 1.0 at each asset's first real data date · smoothed · 731 rows · dotted = backfilled prefix: HYPE)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 71.4%, GOLD 27.7%, JLP 0.9%
• Highest-return tested portfolio: MaxSharpe — GOLD 45.4%, GOOGL 38.4%, HYPE 16.3%
• Best risk-adjusted tested portfolio: MaxSharpe — GOLD 45.4%, GOOGL 38.4%, HYPE 16.3%
• Lowest-drawdown tested portfolio: MinVar-C50 — SPX 50.0%, GOLD 37.6%, GOOGL 6.2%, JLP 6.2%
• Highest-return single asset: HYPE — 1413.76%
• Single-asset dominance ratio: 6.514x

3 Years

Window: 2023-09-19 → 2026-09-19 (1097 rows)

Claude Narrative Report

## Portfolio Analysis: 3-Year Performance Review

Over the past three years, the crypto market delivered extreme dispersion in outcomes. Solana emerged as the standout performer, generating returns more than double that of Bitcoin and roughly seven times what Ethereum produced. However, this exceptional performance came with brutal volatility and a drawdown exceeding three-quarters of its value at the worst point—a gut-check that few investors could realistically stomach. Meanwhile, traditional assets like gold and the S&P 500 offered far more stability, with gold in particular delivering solid returns without subjecting holders to the wild swings characteristic of digital assets.

The portfolio strategies reveal a compelling case for diversification over concentration. While the equal-weight approach captured the highest raw return among the tested portfolios, it did so with substantial volatility and a drawdown exceeding thirty percent. The maximum Sharpe portfolio achieved something more elegant: it delivered strong returns while keeping risk firmly in check, leaning heavily on gold and traditional equities while maintaining only modest crypto exposure. Notably, this optimized blend outperformed a pure Bitcoin holding on a risk-adjusted basis despite Bitcoin's impressive headline returns—demonstrating that how you get your returns matters as much as the returns themselves.

The single-asset comparison underscores why concentration is a dangerous game in crypto. Ethereum holders endured nearly a seventy percent drawdown for mediocre returns, while Tesla investors suffered similarly with even less to show for it. Even Solana's spectacular gains came at the cost of a risk-adjusted profile inferior to a properly diversified portfolio. **The practical takeaway: resist the temptation to chase the next Solana. A portfolio anchored in stable assets like gold and equities, with disciplined crypto exposure in the single digits, historically delivered superior risk-adjusted returns while letting you actually sleep at night.**

Assets priced in BTC — 3 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1097 rows · dotted = backfilled prefix: JLP)

Assets priced in GOLD — 3 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1097 rows · dotted = backfilled prefix: JLP)

Assets priced in SPX — 3 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1097 rows · dotted = backfilled prefix: JLP)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 67.6%, GOLD 30.0%, JLP 2.4%
• Highest-return tested portfolio: Equal — BTC 12.5%, ETH 12.5%, SOL 12.5%, GOLD 12.5%, SPX 12.5%, TSLA 12.5%, GOOGL 12.5%, JLP 12.5%
• Best risk-adjusted tested portfolio: MaxSharpe — GOLD 46.0%, SPX 28.5%, GOOGL 16.6%, SOL 6.8%, JLP 1.4%, BTC 0.8%
• Lowest-drawdown tested portfolio: MinVar-C50 — SPX 50.0%, GOLD 38.9%, JLP 7.2%, GOOGL 4.0%
• Highest-return single asset: SOL — 458.39%
• Single-asset dominance ratio: 2.407x

4 Years

Window: 2022-09-20 → 2026-09-19 (1461 rows)

Claude Narrative Report

## Portfolio Analysis: 4-Year Performance Review

Over the past four years, Bitcoin delivered the strongest absolute gains among all assets tested, more than tripling in value. Solana and Google followed with impressive performance, while traditional benchmarks like the S&P 500 and gold posted solid but more modest gains. Notably, Ethereum significantly underperformed its crypto peers, barely matching the broader stock market, and Tesla lagged dramatically behind everything else despite its reputation for explosive moves.

The real story emerges when comparing diversified portfolios against single-asset holdings. While Bitcoin's raw return was unmatched, it came with gut-wrenching volatility and a drawdown exceeding fifty percent at its worst. The Maximum Sharpe portfolio, which blended nearly half gold with measured allocations to stocks and a modest Bitcoin position, achieved risk-adjusted returns far superior to holding any single asset. It delivered roughly two-thirds of Bitcoin's total return while cutting volatility by more than half and limiting its worst decline to around fifteen percent. The Minimum Variance portfolios, dominated by the S&P 500 and gold, offered the smoothest ride with drawdowns under twelve percent, though at the cost of meaningfully lower total returns.

The single-asset dominance ratio of 1.31 indicates that Bitcoin beat the best diversified portfolio by about thirty percent in raw terms, but this metric ignores the dramatically different risk profiles involved. For most investors, the superior Sharpe ratios of the blended approaches represent a more sustainable path forward.

**Takeaway:** A diversified portfolio anchored in gold and traditional equities, with Bitcoin capped around ten percent, historically delivered far better risk-adjusted performance than concentrated crypto bets — consider this balance before chasing headline returns.

Assets priced in BTC — 4 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1461 rows)

Assets priced in GOLD — 4 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1461 rows)

Assets priced in SPX — 4 Years (normalised to 1.0 at each asset's first real data date · smoothed · 1461 rows)

Allocation Model Guide

Equal: splits capital evenly across all selected assets. This is the neutral benchmark.

MinVar: the unconstrained minimum-variance portfolio. It seeks the lowest historical variance and is allowed to put 100% into one asset if that appears safest.

MinVar-C50: also a minimum-variance portfolio, but no asset may exceed 50%. This forces more diversification and is usually more practical.

MaxSharpe: the offensive portfolio. Maximises return per unit of risk (Sharpe ratio), capped at 50% per asset. Where MinVar and MinVar-C50 ask "how do I lose least?", MaxSharpe asks "how do I earn most efficiently?"

How to read this: when MaxSharpe and MinVar-C50 agree on weights, the signal is strong — the market is rewarding diversification. When they diverge sharply, the market is in a momentum-driven regime favouring concentration.

Exact allocations for this timeframe

Asset Total Returns

Correlation Matrix

Tested Portfolio Comparison

Single-Asset Comparison

This table answers the question: "What if I held 100% of just one asset?"

Deterministic Summary

• Best low-risk tested portfolio: MinVar — SPX 64.1%, GOLD 35.9%
• Highest-return tested portfolio: Equal — BTC 14.3%, ETH 14.3%, SOL 14.3%, GOLD 14.3%, SPX 14.3%, TSLA 14.3%, GOOGL 14.3%
• Best risk-adjusted tested portfolio: MaxSharpe — GOLD 48.6%, SPX 22.2%, GOOGL 18.2%, BTC 10.7%, SOL 0.4%
• Lowest-drawdown tested portfolio: MinVar — SPX 64.1%, GOLD 35.9%
• Highest-return single asset: BTC — 330.26%
• Single-asset dominance ratio: 1.306x