0xBennie

Production-grade Binance Smart Signal tracker. 17 whale fields incl. longWhalesAvgEntryPrice + profitTraders that public fapi can't give you. 7-layer 418/429 defense.

43
10
80% credibility
Found May 29, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This project is a data collection and visualization tool for Binance futures trading. It scrapes hidden data about 'smart money' (large traders and whales) that Binance doesn't expose publicly — including which traders are currently in profit, their average entry prices, and how much of the total market they control. The tool runs automatically on a schedule, storing snapshots in a local database, and provides both a web dashboard and a command-line preview to explore the data. It is designed for traders who want to understand what the big players are doing.

How It Works

1
🔍 You hear about a tool that tracks 'smart money'

You learn about a project that can show you what the big traders on Binance are doing — specifically, which side is actually making money right now.

2
📊 You install and run it

You download the project and run a simple command to start pulling data about all the trading pairs on Binance.

3
It quietly collects data in the background

The tool automatically checks Binance every hour, gathering information about whale traders, open interest, and funding rates — storing everything in a local database.

4
🐋 You see which whales are winning

The dashboard reveals which big traders are actually in profit versus losing, along with their average entry prices — something the public Binance page doesn't show.

5
You choose how to watch
🌐
Browse the dashboard

You open a web page that shows all symbols sorted by which ones have the biggest profit differences between long and short whales.

Check one symbol instantly

You run a quick command to see a live snapshot of any single trading pair, formatted nicely for reading.

🎯 You spot opportunities before they happen

By watching whale entry prices and profit ratios, you can identify when short traders entered too late and might be about to get squeezed.

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Star Growth

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AI-Generated Review

What is binance-smart-money-tracker?

This is a TypeScript scraper that pulls Binance's "Smart Money" whale data -- the stuff you see on binance.com's Futures Smart Signal tab. The public API endpoints only give you long-short ratios, but this tool grabs the 17 whale fields that Binance keeps hidden, including average entry prices for the top traders and how many are currently in profit. It stores everything in SQLite and serves a dashboard via Express. The whole thing is built around surviving Binance's aggressive rate limiting -- it has seven layers of protection against 418/429 bans, including real Retry-After parsing, weight budget tracking, and a circuit breaker that short-circuits all calls when the IP gets flagged.

Why is it gaining traction?

The hook is simple: you cannot get whale average entry prices or profit counts from any public API. This data tells you not just which side has more positions, but whether those positions are winning right now -- and at what price the whales entered. That's the signal traders actually want. The documentation is unusually thorough for a scraper project, with detailed explanations of rate limit semantics, deployment modes for different freshness requirements, and a library mode that lets you drop it into existing Node projects without running the cron jobs.

Who should use this?

Crypto traders and analysts building their own signals who need whale positioning data without paying for expensive data feeds. Quant researchers backtesting hypotheses around smart money behavior. Bot developers who want to incorporate whale profit ratios into entry/exit logic. It is not for anyone who needs guaranteed uptime or official support -- 43 stars means a small community, and the whole thing depends on an undocumented internal Binance endpoint that could break without warning.

Verdict

This is a well-engineered tool solving a real data gap, and the rate-limit defense is clearly battle-tested. At 43 stars it is early-stage and production use means accepting maintenance risk if Binance changes their internal APIs. The credibility score of 0.8% reflects that maturity. If you need whale entry prices and profit data for Binance futures, this is currently the most direct path -- just do not mistake a clever scraper for infrastructure you can forget about.

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