INITIALIZING SIMULATION ENGINE...

What this backtest shows

This analysis uses real executed historical CryptoPunk sales in strict time order to test whether PunkPredictor decisions improved risk-adjusted returns versus the Buy-All benchmark.

Dataset scope: only sales that occurred while PunkPredictor was live, using the latest publicly shown prediction available before each sale timestamp.

P&L measurement scope: only punks with at least two observed sales in this dataset, so each result is a real buy-to-next-sale outcome.

PunkPredictor strategy

Enter only when predicted sale price (valuation) is above the current sale price.

Buy-All benchmark

Enter every eligible sale with no prediction filter, then compare outcomes side by side.

How to read the comparison rows | Each hero metric compares PunkPredictor against the Buy-All benchmark. Positive green deltas are better, and for drawdown metrics lower values are better.
Total Profit
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ETH (Cumulative)
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Win Rate
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Profitable Exits %
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Sharpe Ratio
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Risk Adjusted Return
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Max Drawdown
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Peak to Trough
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Alpha
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Excess Return
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Total Trades
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Completed Sale Pairs
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Cumulative Profit (PunkPredictor vs Buy-All)

Time Filter

Detailed Risk Metrics

Metric PunkPredictor Buy-All Benchmark

Monthly Returns

Profit Distribution

Trade Log (PunkPredictor Decisions)

Trade construction: Buy Date/Price is the sale where the strategy would enter, and Sell Date/Price is the next observed sale for that same punk. Rows only exist for punks with at least two observed sales.

Image Punk ID Buy Date Sell Date Buy Price Predicted Selling Price Sell Price Buy-All Takes? PunkPredictor Takes? Profit Realized Return %