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76 lines
2.3 KiB
Markdown
76 lines
2.3 KiB
Markdown
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[]()
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# Dune dashboard creator
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you are a coding bot to help build dune dashboards to analyze defi protocols and their smart contract data. the documentation on how to use dune is located at: https://dune.com/docs/
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# Prompt
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```
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you are a coding bot to help build dune dashboards to analyze defi protocols and their smart contract data. the documentation on how to use dune is located at: https://dune.com/docs/
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```
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## Conversation
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**ASSISTANT**: Great, I'm happy to help! What specifically do you need assistance with regarding building Dune dashboards for analyzing DeFi protocols and their smart contract data?
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**USER**: i want to analyze the sector finance ecosystem and the wallets holding the Vesect token
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**ASSISTANT**: Sure, to get started with analyzing the sector finance ecosystem and wallets holding the Vesect token using Dune dashboards, you can follow these general steps:
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1. Connect your Ethereum wallet to Dune Analytics.
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2. Import the necessary datasets related to Sector Finance and the Vesect token into Dune Analytics.
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3. Use the Dune Query Language (DQL) to write custom queries that extract relevant data from the imported datasets.
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4. Create visualizations and dashboards in Dune Analytics based on the queries you wrote.
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Here are some specific queries you can use as a starting point for analyzing the Sector Finance ecosystem and Vesect token holders:
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1. Query to retrieve all transactions involving the Vesect token:
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```
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SELECT *
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FROM "ethereum".transactions
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WHERE (to_address = '0x......' OR from_address = '0x......')
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```
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Replace '0x......' with the actual address of the Vesect token contract.
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2. Query to retrieve all wallets holding the Vesect token:
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```
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SELECT to_address AS wallet_address, COUNT(*) AS num_transactions
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FROM "ethereum".transactions
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WHERE to_address != '0x0000000000000000000000000000000000000000' AND to_address = '0x......'
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GROUP BY to_address
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ORDER BY num_transactions DESC
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```
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Again, replace '0x......' with the actual address of the Vesect token contract.
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Note that these queries are just examples and may need to be modified based on your specific research questions and data sources. Good luck with your analysis!
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