Model comparison
PunkPredictor vs punks.auction
Same sales, same timeframe, same historical moment. Switch to DeepNFTValue for the retained benchmark.
Benchmark
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Active view uses only sales where both models had a valuation.
Mean Error
Live benchmark tracked
PunkPredictor vs punks.auction
20.28% lower vs legacy DeepNFTValue
Median Error
Live benchmark tracked
PunkPredictor vs punks.auction
27.43% lower vs legacy DeepNFTValue
Backtested Profit
2,099.42Ξ
PunkPredictor backtest profit
24.14% higher vs legacy DeepNFTValue
Model scores
PunkPredictor
Mean Error
6.89%
Median Error
4.85%
Backtest Profit
2099.42Ξ
punks.auction
Mean Error
N/A
Median Error
N/A
Backtest Profit
0.00Ξ
DeepNFTValueLegacy benchmark
Mean Error
8.64%
Median Error
6.68%
Backtest Profit
1691.13Ξ
Cumulative median accuracy
Paired benchmark rows only
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| Punk ID | Picture | Sold for | PunkPredictor | PP % Error | punks.auction | punks.auction % Error | Date |
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PunkPredictor Backtest
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Understanding the Backtest Analysis
This backtest simulates trading strategies based on both models' predictions from historical CryptoPunk sales data:
- Trade Selection: A trade opportunity is identified when a Punk is sold and at least one model predicts a higher value than the sale price.
- Trade Decision: ✓ indicates the model would have taken the trade (predicted value > buy price), ✗ indicates it would not.
- Profit Calculation: Actual sell price - buy price.
- Success Rate: % of trades that resulted in profit.
- Total Profit: Sum of all profits/losses from trades in ETH.
- Average Profit: Total profit divided by number of trades in ETH.
DeepNFTValue Backtest
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punks.auction Backtest
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| Punk ID | Picture | Buy Date | Buy Price | PunkPredictor valuation back then | PunkPredictor Trade | punks.auction valuation back then | punks.auction Trade | DeepNFTValue valuation back then | DeepNFTValue Trade | Sell Date | Sell Price | Profit | Profit % |
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