Social Sentiment Tracker©

Social sentiment tracking is a relatively new concept that started to gain momentum in the last few years. Emotions very often play a significant role in influencing financial markets and in today’s interconnected world, social sentiment moves at a much faster pace than traditional media sources.

Our team started to develop Social Sentiment Tracker after the 2021 GameStop saga when Reddit’s army of retail investors liquidated Melvin Capital and other hedge funds driving GameStop’s price sky-high. Our initial idea was to create a tool that would allow to identify similar events before reading about it on the news without the need to constantly be checking what’s happening online. Later on when we started to collect and watch the data more closely it became obvious that it has more practical and useful aspects and could be used as a valuable tactical and strategical tool.

In broad terms Social Sentiment Tracker is a raw stream of market thoughts and emotions. It shows which terms related to the financial markets are receiving the most attention at particular day or hour on the Internet. Here you will find assets with significant news, splits, acquisitions and catalyst events. Several machine learning case studies and our own practice have validated that signals have a high correlation with market movements.

Discover Big Trends Before They Take Off

Currently there’s no similar analogy on the market, which provides consolidated and combined data from all major news and social media platforms including Reddit, Facebook, Instagram, TikTok, YouTube, Discord, X, Telegram, StockTwits.

Use Cases

As a trader or investor, tapping into alternative data can give you an edge in today’s fast changing markets. It allows us to see beyond basic financial metrics and get a pulse on market dynamics as they unfold. Below are practical use cases of how data can be leveraged. From September 2023, we’ve noticed all the use cases. Some are more common than others.

Social Sentiment
Tracking Guide

Foundational principles and use of Social Sentiment Tracker Analysing market emotions and sentiments
Strategic application and usage Understanding the reason and context behind the social sentiment
Data analysis and interpretation Weighing historical data, considering the source, frequency, volume and intensity.
Best monitoring practises Insights into historical data, sentiment evolution over time and common patterns
Sentiment-driven strategy development Correlating market outcomes with trends based directly on sentiment analysis
Use cases and case studies Concrete examples with logic behind, entry & exit points and risk management