Rezzecup/twitter-alpha-sentiment-tracker-v2
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.
This project provides real-time BUY/SELL signals for crypto assets by monitoring the tweets of a curated list of 'Smart Money' accounts on X (formerly Twitter). It takes their posts as input, analyzes them for sentiment, and sends immediate trading signals to your Telegram, helping you stay ahead of market moves. It's designed for active crypto traders and investors who want to react quickly to insights from influential market participants.
Use this if you are a crypto trader seeking to gain an edge by receiving early sentiment signals from influential market accounts directly to your Telegram, rather than relying on delayed crowd sentiment indicators.
Not ideal if you are a long-term hodler, prefer manual market research, or are uncomfortable with automated trading signals and the inherent risks of crypto market volatility.
Stars
17
Forks
1
Language
Python
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Rezzecup/twitter-alpha-sentiment-tracker-v2"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Shubxam/Nifty-500-Live-Sentiment-Analysis
Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit
lefterisloukas/edgar-crawler
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual...
yya518/FinBERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python...
louisowen6/SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction...