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sentiment-analysis-trading

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Turn sentiment data into tradable edge.

Data & Analytics#multi-source#trading#analyze#backtest#sentiment#alt-data
AuthorCambixx
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Traders need a robust, multi-source sentiment signal to supplement price data and improve alpha.

Core Features & Use Cases

  • Multi-source sentiment integration: combine social, news, and on-chain signals into a single composite.
  • Backtestable signals: support historical validation of sentiment-driven strategies.
  • Risk-aware decision support: incorporate positioning data and fear/greed proxies to adjust exposure.
  • Use Case: A quantitative analyst builds a sentiment-aware trading thesis for BTCUSDT and tests it across 1h to 4h horizons.

Quick Start

Prompt the AI to compute a sentiment composite for a given asset using social, news, and on-chain data, backtest the strategy, and output a transparent rationale.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: sentiment-analysis-trading
Download link: https://github.com/Cambixx/bot-trading/archive/main.zip#sentiment-analysis-trading

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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