Rezzecup

Rezzecup / twitter-alpha-sentiment-tracker-v2

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Real-time Smart Money sentiment tracker for X/Twitter — NLP-powered Buy/Sell signals delivered to Telegram. FinBERT + VADER hybrid scoring, tiered account watchlist, and configurable confidence threshold.

algorithmic-trading crypto-signals crypto-trading finbert nlp
17
1
100% credibility
Found Mar 18, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This open-source tool monitors tweets from curated cryptocurrency experts, analyzes their sentiment for buy or sell signals using financial language models, and sends formatted alerts to Telegram.

How It Works

1
🕵️‍♂️ Discover the Signal Tracker

You hear about a free tool that watches top crypto experts on Twitter to spot early buy or sell hints before the crowd.

2
📥 Bring It Home

Download the tool to your computer and run a quick setup to get everything ready.

3
🔗 Link Your Alert Spot

Connect your Telegram chat so signals buzz right to your phone instantly.

4
📝 Pick Your Experts

Choose which smart money accounts to follow and set how strong a hint needs to be to alert you.

5
🚀 Start Watching

Flip the switch to begin real-time monitoring—feel the excitement as it scans tweets non-stop.

6
🧪 Test the Waters

Run a practice mode to see sample alerts and check past performance without risking anything.

🔔 Catch the Signals

Enjoy buy or sell notifications from trusted sources, arriving in seconds to help you trade smarter.

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Star Growth

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AI-Generated Review

What is twitter-alpha-sentiment-tracker-v2?

This Python tool tracks tweets from curated "smart money" crypto accounts like whale trackers and analysts, using NLP to generate real-time buy/sell signals pushed to Telegram in under 2 seconds. It solves the lag in crowd-sentiment platforms by focusing on early movers, auto-tagging 40+ assets like BTC and ETH, with configurable thresholds and tiered account weighting. Run it via CLI in demo, paper, or live modes, with backtesting on signal logs against Binance prices.

Why is it gaining traction?

Unlike LunarCrush or Santiment, which chase retail noise, this filters pre-screened accounts for alpha signals, offers free real-time Twitter API polling every 15 seconds, and includes consensus alerts when multiple tier-1 accounts align. Developers dig the hybrid FinBERT-VADER scoring, paper mode for safe testing, and easy Telegram integration—no subs needed. It's a plug-and-play real-time sentiment dashboard alternative on GitHub.

Who should use this?

Crypto traders scanning for whale moves before retail piles in. Quant devs building real-time trading bots or dashboards needing Twitter sentiment feeds. Algo traders backtesting signals against price action without paid APIs.

Verdict

Worth forking for paper-mode experiments if you're in crypto signals—docs and setup script are polished, CLI is intuitive. At 17 stars and 1.0% credibility, it's early alpha; run backtests first, as the full watchlist is private.

(187 words)

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