Over the last 3+ years, I\u2019ve been quietly building a full data pipeline that connects to my archive Ethereum node. From there, it runs trade cycles using FIFO (first in, first out)<\/strong> to calculate each trader\u2019s ROI, Sharpe ratio, profit, win rate,<\/strong> and more.<\/p>\n After building everything on historical data, I optimized it to now run on live data<\/strong> \u2014 it scores and ranks every trader who has made at least 5 buys and 5 sells in the last 11 months.<\/p>\n After filtering by all these metrics and finding the best of the best out of 500k+ wallets, my system surfaced around 1,900 traders truly worth following<\/strong>. I\u2019ve also finished the website and dashboard<\/strong>, all connected to my PostgreSQL database. If you\u2019d like to become a beta tester<\/strong>, and you have trading or Python\/coding experience, I\u2019d love your help finding bugs and giving feedback. submitted by \/u\/Wrong_Wrongdoer_6455 <\/a>
It pulls every transaction<\/strong> on Ethereum mainnet, finds the balance change for every trader at the transaction level<\/strong> (not just the end-of-block balance), and determines whether they bought or sold.<\/p>\n
The lowest ROI among them is 12%<\/strong>, and anything above that can generate signals.<\/p>\n
The platform includes ranked lists: Ultra Elites, Elites, Whales, and Growth traders<\/strong> \u2014 filtering through 30 million+ wallets<\/strong> to surface just those 1,900 across 4 refined tiers.<\/p>\n
I opened 25 seats<\/strong> for the general public, if you message me directly, I won\u2019t charge you for access just want looking for like-minded interested people\u2014 I\u2019m looking for skilled testers who want to experiment with automated execution through the API<\/strong> I built.<\/p>\n<\/div>\n
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