0376GitHub
Jev X Sentiment Analysis
Crypto terminal that reads up to 1,000 posts about a ticker alongside market and funding data and turns them into a buy, sell, hold, or take-profit call.
Crypto terminal that reads up to 1,000 posts about a ticker alongside market and funding data and turns them into a buy, sell, hold, or take-profit call. No license file at the time of writing. Not financial advice.
brainstormity/Jev-X-Sentiment-AnalysisREADME ↗
# Jev X Sentiment Analysis
An on-demand crypto market intelligence and decision-support terminal powered by TypeSafe AI's System One model (Jev).
The tool allows you to search any cryptocurrency (such as BTC, SOL, or ETH), select how many tweets you want to analyze (from 50 up to 1,000 tweets), and receive an instant, data-backed trading decision (Buy, Sell, Hold, or Take Profit) based on real-time market data, perpetuals funding rates, and social sentiment.
The platform does not execute trades automatically. It generates a clear decision card with calculated entry ranges, stop losses, and target levels so you can review the reasoning and execute manually on whichever exchange or DEX you prefer.
---
## How Tweets Are Analyzed
When you request sentiment analysis across 50 to 1,000 tweets, dumping hundreds of raw tweets into an LLM would exceed token budgets and introduce latency. Instead, Jev X Sentiment Analysis uses an **intelligent three-stage pipeline**:
```text
User Search (e.g. "SOL", 500 tweets)
│
├──> CCXT: Live Price, 24h Volume, RSI, Funding Rate, Open Interest
└──> TwitterAPI.io: 500 tweets ingested via cursor pagination
│
▼
Tier 1: Python Statistical Pre-Processing
- Computes total engagement velocity (likes, retweets per minute)
- Measures author diversity ratio (detects bot farms vs organic retail)
- Computes keyword sentiment polarity (fear/capitulation vs greed/hype)
- Stratified extraction:
• Top 25 highest-engaged tweets (KOL & market-moving opinions)
• 25 most recent breaking tweets (current real-time narrative)
│
▼
Tier 2: Early-Stopping Database Deduplication (API Cost Optimization)
- To save API credits, the system stores all ingested tweets in a loc