Context Analytics has developed a long-term cryptocurrency sentiment signal known as the CC LT Score (Cryptocurrency Long-Term Score), which is powered by social sentiment derived from Twitter conversations across all cryptocurrencies. This signal is designed to capture shifts in investor tone and market sentiment by analyzing the tone of messages over a rolling two-week period and comparing it to sentiment from the prior two months. The result is a standardized z-score, which quantifies the magnitude of change in sentiment relative to its historical average.
This approach allows Context Analytics to identify notable sentiment shifts—whether positive or negative—before they are fully reflected in price movements. The graph below illustrates the predictive power of this signal during a recent bullish run on Bitcoin (BTC). From September 8th to September 26th, the CC LT Score surged dramatically, rising from below -1.5 to above 2.5. This sharp increase reflected a significant shift in social sentiment, flagging a strong bullish signal for the cryptocurrency market.
Currently, the CC LT Score has reached a level of 3.3, indicating an even stronger wave of positive sentiment than seen in the September run. Notably, the last time the score reached this level was on October 26th, 2023. That date coincided with the early stages of a major bull run for Bitcoin, when the price moved from approximately $30,000 to $60,000 over a relatively short period.
This suggests that the current sentiment environment is showing similar conditions to previous market accelerations—highlighting the potential for another upward move in BTC and possibly the broader crypto market.
By using social sentiment at scale, the CC LT Score continues to demonstrate value as a forward-looking signal for long-term crypto investors and analysts.
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