Pokémon vs Traditional Assets

The PokéViews Assets Comparison page shows how the PV250 Index performs against major global benchmarks including S&P 500, Gold and Bitcoin. Each asset is indexed to start at 100, making subsequent moves easy to interpret as performance relative to that starting point. Updated daily.

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Pokémon Correlation Matrix

The PokéViews Correlation Matrix shows how Pokémon market indexes (PV100 and PV250) relate to major global assets over time. Correlations are calculated using historical returns to highlight the strength and direction of relationships between Pokémon cards, sealed products, and traditional benchmarks such as stocks, gold, and cryptocurrencies.

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About Pokémon vs. Traditional Assets

Pokémon vs Assets is a performance comparison tool that tracks the PokéViews Top 250 Index (PV250) against traditional investment assets including the S&P 500 (SPX), Gold (GLD), and Bitcoin (BTC). All assets are normalized to a base value of 100 on the same start date (April 1, 2024), enabling direct comparison of relative performance regardless of absolute price differences. The metric provides performance rankings over multiple time periods to help investors contextualize Pokémon card returns within the broader investment landscape.
The methodology for Pokémon vs Assets is outlined as follows: Assets Tracked: • PV250: PokéViews Top 250 Index (Pokémon cards) • SPX: S&P 500 Index (U.S. large-cap stocks) • GOLD: SPDR Gold Shares ETF (Gold commodity) • BTC: Bitcoin USD (Cryptocurrency) Normalization: All assets are rebased to 100 on April 1, 2024, the start date of the PV250 Index. Data Sources: Asset prices sourced from Yahoo Finance via yfinance API. Forward-filling is applied to SPX and Gold prices to account for weekend non-trading days. Performance Periods: Returns calculated and ranked over 30 days, 52 weeks, and all-time. Calculation Frequency: Updated daily.
Pokémon vs Assets (Correlation) measures how closely Pokémon card markets move in relation to traditional financial assets over time. The correlation matrix compares PokéViews indexes (PV100 and PV250), a representative single card (Charizard ex), and a sealed product (Fusion Strike Booster Box) against major benchmarks such as the S&P 500, Gold, Bitcoin, and Ethereum. Rather than comparing absolute performance, this view focuses on return correlations to help users understand whether Pokémon prices tend to move independently, together, or in opposition to broader financial markets.
The methodology for Pokémon vs Assets (Correlation) is outlined as follows: Assets Included: • PV100: PokéViews Top 100 Index (premium Pokémon cards) • PV250: PokéViews Top 250 Index (broad Pokémon card market) • Charizard ex (#199 SV151): Representative high-demand individual Pokémon card • Fusion Strike Booster Box: Representative sealed Pokémon product • SPX: S&P 500 Index (U.S. large-cap equities) • GOLD: Gold (precious metal benchmark) • BTC: Bitcoin (cryptocurrency) • ETH: Ethereum (cryptocurrency) Return-Based Analysis: Correlations are calculated using percentage returns rather than absolute prices, ensuring comparability across assets with different price levels. Aggregation Options: Returns can be aggregated by day, week, or month to capture relationships at different time horizons, from short-term movements to broader trend alignment. Time Ranges: Users can select different historical windows to observe how correlations change over time. Correlation Metric: Pearson correlation coefficients are used, with values ranging from -1 to +1, indicating negative, neutral, or positive relationships between assets. Data Sources: TCGPlayer and Yahoo Finance. Update Frequency: Correlation values are recalculated and updated daily.
Pokémon vs Assets provides critical context for evaluating Pokémon cards as an alternative asset class by examining both performance and market relationships. The time-series comparison shows how Pokémon card indexes have performed relative to traditional assets such as stocks, gold, and cryptocurrencies, while the correlation analysis helps determine whether Pokémon prices tend to move independently or in tandem with broader financial markets. Together, these views allow investors and collectors to better understand diversification potential, relative risk, and how Pokémon cards fit within the broader investment landscape.