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Whale Transactions tracks significant capital movements within digital assets by measuring high-value transactions. It provides insights into institutional and large-scale trading activity, which may be impliciative of insider trading behavior.
Whale alerts trigger asymmetric retail reactions:
This creates a durable information asymmetry where whale transaction patterns serve as "smart money" flow indicators.
Blockchain's transparency exposes concentration risks traditional markets obscure. When 0.01% of addresses control 27% of Bitcoin supply, their wallet movements create measurable liquidity shocks.
Whale transaction data is collected by monitoring blockchain activity for large-value transfers, identifying wallets associated with institutional or high-net-worth entities, and aggregating these movements across networks. The data is normalized by comparing current transaction volumes to historical averages, creating a relative measure of whale activity intensity.
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Benchmark (Aave) | Strategy | |
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100% | 100% | |
100% | 100% | |
1.00 | 1.00 | |
100% | 100% | |
1.00 | 1.00 | |
1.00 | 1.00 |
Predictive factors are designed to be translated into simple long-only strategy, with simulated past performance:
The strategy is rebalanced daily, on a continuous basis. There are 0.5% transaction costs applied on each position adjustment.
Get started by replicating the historical performance with our code snippets.