https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels

Ethereum Wallet labels built using dbt.
https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels

blockchain blockchain-analytics databricks dbt ethereum nft whales

Last synced: about 2 months ago
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Ethereum Wallet labels built using dbt.

• Host: GitHub
• URL: https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels
• Owner: datawaves-xyz
• License: apache-2.0
• Created: 2022-09-01T08:21:21.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-09-01T11:47:31.000Z (about 2 years ago)
• Last Synced: 2024-07-02T21:41:02.477Z (3 months ago)
• Topics: blockchain, blockchain-analytics, databricks, dbt, ethereum, nft, whales
• Homepage:
• Size: 14.6 KB
• Stars: 7
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# dbt_datawaves_wallet_labels

## What does this dbt project do?🏷️

This dbt project create a bunch of wallet labels using [dbt_datawaves](https://github.com/datawaves-xyz/dbt_datawaves) package. 

## Whale🐋

| **model** | **description**  |

|-----------|------------------|

| [nft_whale](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/whale/nft_whale.sql) | Top 0.1% in the number of NFT transactions|

## Smart Money🥋

| **model** | **description**  |

|-----------|------------------|

| [smart_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/smart_money/smart_nft_trader.sql) | The top 100 addresses in terms of realized profits from NFT sales. |

| [smart_nft_holder](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/smart_money/smart_nft_holder.sql) | The top 100 addresses in terms of estimated profits of their current NFT portfolio. |

| [smart_nft_sweeper](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/smart_money/smart_nft_sweeper.sql) | Addresses that have profitably swept at least 5 times at or below the floor price in the last 30 days. |

| [smart_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/smart_money/smart_nft_trader.sql) | The top 100 addresses in terms of realized profits from NFT sales. |

| [smart_nft_golden_dog_minter](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/smart_money/smart_nft_golden_dog_minter.sql)| The top 100 addresses that have realized profits on least 2 Golden Dog Collections that were minted in the last 60 days. | 

## NFT Collector🎭

| **model** | **description**  |

|-----------|------------------|

| [legendary_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/legendary_nft_trader.sql) | Top 0.1% in the number of NFT transactions. |

| [epic_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/epic_nft_trader.sql) | Top 1% in the number of NFT transactions. |

| [rare_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/rare_nft_trader.sql) | Top 2.5% in the number of NFT transactions. |

| [uncommon_nft_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/uncommon_nft_trader.sql) | Top 10% in the number of NFT transactions. |

| [opensea_trader](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/opensea_trader.sql) | Wallets that have transactions on OpenSea. |

| [blue_chip_nft_holder](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/blue_chip_nft_holder.sql) | Wallets that are currently holding at least one Blue Chip NFT in their portfolio. |

| [diversified_nft_holder](https://github.com/datawaves-xyz/dbt_datawaves_wallet_labels/blob/master/models/labels/nft_collector/diversified_nft_holder.sql) | Wallets that are currently holding at least 5 collections. |