I wrote a Python script to track the 1% of USDT Whales because I was tired of getting dumped on.

I ve been trading for some years and noticed a pattern: The biggest dumps happen when "Fear & Greed" is high, but actual money flow stops. I couldn't find a free tool that tracked this specific divergence, so I built one using the Etherscan V2 API and Python.

What it does:

1. Tracks Real Liquidity: Monitors massive USDT transfers (>$500k) into exchange wallets.
2. Checks Sentiment: Compares volume against the current Fear & Greed index.
3. Detects Divergence: If Retail is greedy but Whales stop buying, it signals a "Distribution Reversal."

It’s running on a private server 24/7. I’m looking for 10 beta testers to stress-test the alerts before I scale it.Life time premium for the first 10 users.

@SentinelWhaleBot on Telegram. (Feedback is appreciated, especially on the alert speed).