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.
Futures traders are active market participants on platforms like X (Twitter). Their constant stream of commentary and analysis creates a rich source of sentiment data. When harnessed correctly, this sentiment has predictive potential, particularly for short-term momentum trading.
Building a Sentiment-Volume Combo Signal
To further explore the edge social sentiment can provide in futures trading, we created a combination factor that fuses sentiment and volume momentum.
Here’s how the signal was constructed:
These deltas provided a sense of momentum in sentiment and attention on X.
This construction amplifies the influence of securities seeing rapid changes in sentiment and engagement, especially when the underlying sentiment direction is strong.
The Trading Strategy
For this study, we were looking at 42 futures from our universe: including those such as Copper, Silver, Crude Oil, Sugar, Natural Gas, etc.
Using this combo score, we implemented a daily strategy:
Performance Results (2018–Present)
We tested this strategy from the start of 2018, recalculating daily and compounding returns:
Implications and Next Steps
This analysis demonstrates that social sentiment momentum—when combined with volume acceleration—can provide a predictive signal for short-term price action in futures markets. The fact that such strong returns were achieved using just 3 long and 3 short contracts per day underscores the efficiency and power of this method.
If you’re interested in exploring how social media signals can enhance your trading strategies in futures or other asset classes, visit contextanalytics-ai.com.