Trading - Page 2 - Context Analytics

When LLMs Say Sell: How X AI Summaries Unlock Short-Side Opportunities

September 3, 2025

As advancements in artificial intelligence continue to accelerate, new opportunities are emerging for integrating cutting-edge techniques into the investment process. Large language models (LLMs) have shown remarkable promise in parsing qualitative data, uncovering insights, and generating signals that can inform stock selection. At Context Analytics, we specialize in transforming unstructured data from alternative sources into […]

Measuring Investor Attention and Sentiment on Stocktwits

August 27, 2025

Context Analytics (CA) leverages data from Stocktwits—a social media platform exclusively focused on financial markets—to measure investor attention and sentiment. CA systematically analyzes and scores messages, creating quantitative metrics at the individual security level. These metrics reflect both the tone of the conversation and the volumeof activity, calculated over a rolling 24-hour period and standardized […]

Quantifying Twitter Sentiment for Financial Markets

August 13, 2025

Social media platforms like Twitter host thousands of investor opinions daily, often influencing short-term market movements. Context Analytics (CA) has been systematically collecting and analyzing financial tweets for over 10 years.

Social Media Sentiment on Australian Securities

August 7, 2025

Context Analytics (CA) is proud to announce an expansion in social sentiment global security coverage to include Australian securities (ASX). Similar to other foreign asset classes CA covers, the ASX dataset will retrieve textual data from Twitter messages and generate sentiment scores using our proprietary Natural Language Processing (NLP) technology. These sentiment scores are actionable […]

Utilizing Social Media Sentiment for Market Insights

July 31, 2025

Context Analytics (CA) leads the industry in structuring and analyzing unstructured text for sentiment analysis in financial markets. One of CA’s flagship offerings, the S-Factor feed, delivers a comprehensive suite of social sentiment metrics sourced from Twitter and Stocktwits, differentiated by platform for greater accuracy.By grouping securities into sentiment-based quintiles, we reveal a strong correlation […]

Social Media as a Trading Signal in Futures Markets

July 16, 2025

At Context Analytics, we are the leader in converting unstructured data into actionable insights for the financial community. One of our most powerful and popular tools is our S-Factor feed, which provides real-time X (formerly Twitter) sentiment signals across various asset classes and exchanges—including the fast-moving futures market.

Stocktwits S-Score Close-to-Close Quintiles

June 26, 2025

Context Analytics (CA) has ingested messages from Stocktwits, a social media platform for discussing financial securities, for over 10 years. CA scores and aggregates sentiment by security from each message over a rolling 24-hour window and creates S-Factors, which describe the conversation quantitatively. The S-Factor feed is one of Context Analytics’ longest running products and […]

Enhancing Sentiment Signals with Historical Performance Statistics

June 18, 2025

Context Analytics has provided X (formerly Twitter) Social Sentiment factors on individual securities for over a decade. With this history of sentiment paired with subsequent price action, Context Analytics continually creates metrics on the performance of securities that have extreme sentiment signals. Previously we explored this topic and now we look to update the study.

Trading Smarter with News & Social: Real-Time Consensus Sentiment

May 21, 2025

At Context Analytics, our mission has always been to unlock alpha through unstructured financial data—transforming the noise of social media and news into structured, actionable insights. Last year, we demonstrated the power of combining sentiment from Twitter, Stocktwits, and news articles into a unified signal. That research showed a clear edge: securities with high “consensus […]

Machine Learning Approach to Trading with Twitter-Based Sentiment Data

May 15, 2025

At Context Analytics, our S-Factor Feed is the cornerstone of our product suite—our flagship and longest-standing data stream. Over time, we’ve demonstrated its value across use cases, from isolating the impact of individual sentiment factors to studying combinations of signals using static thresholds or quintile bucketing.

Prev 1 2 3 4 … 10 Next

When LLMs Say Sell: How X AI Summaries Unlock Short-Side Opportunities

September 3, 2025

Measuring Investor Attention and Sentiment on Stocktwits

August 27, 2025

Quantifying Twitter Sentiment for Financial Markets

August 13, 2025

Social Media Sentiment on Australian Securities

August 7, 2025

Utilizing Social Media Sentiment for Market Insights

July 31, 2025

Social Media as a Trading Signal in Futures Markets

July 16, 2025

Stocktwits S-Score Close-to-Close Quintiles

June 26, 2025

Enhancing Sentiment Signals with Historical Performance Statistics

June 18, 2025

Trading Smarter with News & Social: Real-Time Consensus Sentiment

May 21, 2025

Machine Learning Approach to Trading with Twitter-Based Sentiment Data

May 15, 2025

About Us

Applications

Solutions

Resources

Social

Send a Message