Real‑time Social Media Sentiment Trading Signals with Google Gemini AI and LunarCrush

Описание и применение

Автоматизированный поток, использующий Gemini AI и LunarCrush для анализа реального времени социальных медиа и генерации торговых сигналов.

Задача

Generate actionable trading signals from live social media sentiment without manual analysis.

Результат

The system delivers near‑real‑time trading signals based on live social media sentiment, reducing manual effort and improving reaction speed to market sentiment shifts.

Рабочий процесс

• 1. Connect to Twitter API to stream live tweets about target assets.
• 2. Forward tweet stream to Google Gemini AI for sentiment scoring.
• 3. Aggregate sentiment scores with LunarCrush to compute overall market mood.
• 4. Translate aggregated sentiment into trading signals (e.g., buy/sell thresholds).
• 5. Output signals to a trading platform or alert system.

Доказательства

Analyzes real‑time social media sentiment to generate trading signals using Google Gemini AI and LunarCrush

Источник