I recently conducted a small experiment using Web3 data tools. Imported information scraped from several blockchain data sources into Claude, allowing it to directly generate visual charts.
The process is as follows: first, extract trading data from DexScreener and other DEX data aggregation platforms, then organize it into a structured format using a crawler tool, and finally feed it to AI for automatic chart generation.
The results are quite good. This method is especially suitable for quickly analyzing on-chain trends, tracking liquidity changes, or benchmarking the performance of different trading pairs. It saves a lot of time compared to manual data processing.
Friends with ideas can give it a try. This approach is quite helpful for data-driven Web3 research.
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StopLossMaster
· 01-10 14:16
Haha, this combination really saves effort. Letting Claude do the work is much faster than manually crunching the data.
But how is the stability of the crawler? Will on-chain data delays affect decision-making?
This idea should have been organized a long time ago, saving so much unnecessary effort.
Claude's image generation accuracy is okay, but sometimes it tends to over-interpret noise in the data.
Wait, are you saying fully automated from crawling to chart creation? That seems a bit too idealistic.
This wave is indeed a liberation for data researchers. No more manual Excel work in the future.
Just want to ask if the on-chain data quality issues have been resolved. Garbage data still results in garbage charts.
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GateUser-e19e9c10
· 01-10 11:14
Try it quickly, this trick can indeed save time.
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SandwichTrader
· 01-10 01:26
Wow, this idea is brilliant. I need to try it out quickly.
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PseudoIntellectual
· 01-09 16:56
Wow, this idea is brilliant. It saves time and the data is still accurate.
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CountdownToBroke
· 01-09 03:50
Artist Claude generates charts? That's a good idea, it saves trouble.
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just_vibin_onchain
· 01-09 03:46
This combination is really powerful and saves a lot of effort.
How did you tune Claude to generate images directly? Is the output stable?
Wait, will the crawler get rate-limited?
I genuinely want to try, but I'm worried about the hassle.
This approach is brilliant and saves a lot of repetitive work.
But how accurate is the data? Is there any bias?
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BloodInStreets
· 01-09 03:39
Another set of automation tools and tricks, now you don't even need to think when looking at charts.
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ConsensusBot
· 01-09 03:27
Damn, this approach is really clever, saving time while still providing accurate data.
The combination of Claude with web crawlers feels like a new gameplay has been unlocked.
How's the data quality on DexScreener? Is it stable and reliable?
If this process is scaled up, efficiency could improve several times.
Sounds good, I'll try this process next time too.
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GasFeeGazer
· 01-09 03:27
Haha, this approach to creating content still has some merit, saves effort.
Claude's generated images are indeed impressive, but the quality of the data source needs to be well-controlled.
I also need to give it a try; maybe I can find some arbitrage opportunities.
These days, not using AI to mine on-chain data is a bit outdated.
I recently conducted a small experiment using Web3 data tools. Imported information scraped from several blockchain data sources into Claude, allowing it to directly generate visual charts.
The process is as follows: first, extract trading data from DexScreener and other DEX data aggregation platforms, then organize it into a structured format using a crawler tool, and finally feed it to AI for automatic chart generation.
The results are quite good. This method is especially suitable for quickly analyzing on-chain trends, tracking liquidity changes, or benchmarking the performance of different trading pairs. It saves a lot of time compared to manual data processing.
Friends with ideas can give it a try. This approach is quite helpful for data-driven Web3 research.