Sentiment and Narrative Trading: How to Structure News, Social Media, and On-Chain Data
Blockchain
Price fluctuations in the crypto market are driven not only by fundamentals and liquidity but are also highly influenced by sentiment and narratives. A policy statement, a trending social media topic, or an on-chain whale transaction can all shift market expectations and redirect capital flows in a short period of time. This course systematically explains the transmission mechanism from "sentiment → narrative → price" and focuses on answering a key practical question: how to transform seemingly subjective, discrete, and noisy information into trackable, verifiable, and actionable trading signals.
About the Course
This course aims to establish a practical sentiment and narrative trading framework, moving beyond the empirical level of "trading based on news and intuition." It begins with the logic behind how market narratives form, deconstructing how news, social media, and on-chain behavior collectively influence prices. It then introduces structured methodologies, including event annotation, sentiment factors, narrative intensity scoring, on-chain verification, and execution mapping. Finally, it discusses the boundaries and risk management of this approach under different market conditions. Learners will develop a complete闭环 (closed-loop) capability encompassing information gathering, signal scoring, strategy execution, and post-trade review and iteration.
What You Will Learn
Understand the price impact mechanism of sentiment and narratives in the crypto market
Master structured methods for processing news, social media, and on-chain data
Learn to construct scoring frameworks for narrative intensity, sentiment bias, and persistence
Identify the differences between "high-heat, low-quality narratives" and "low-heat, high-value narratives"
Map narrative signals to position sizing, trade frequency, and risk control rules
Establish a review system and failure monitoring mechanism for sentiment and narrative strategies
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