Terra Classic (LUNC) is up nearly 90% over the past seven days due to buzz generated by creator Do Kwon’s ucpoming sentencing, but artificial intelligence (AI) algorithms predict the rally is not likely to continue through year-end.
Namely, Finbold’s AI prediction agent employed three leading large language models (LLMs) to project a LUNC price by December 31, with the average forecast coming in at $0.00004660. Compared with the current price of $0.00004819 on December 8, the figure implies a 3.66% downside.
However, not all LLMs were uniform in their prediction. On the bullish end, ChatGPT envisions Terra Classic rising another 8.12% to $0.00005230, while Claude Sonnet 4 sees it going up 7.91% to $0.00005200. These two scenarios would allow the asset to nearly double in value in the span of about a month, as it was changing hands at about $0.00002570 on December 1.
On the other hand, Gemini 2.5 Flash anticipates a 26.61% crash and a resulting LUNC price target of $0.00003550. Should this prediction play out, Terra Classic would lose about 6% of its current monthly gains, considering it was trading at $0.00003777 on November 8.
Machine learning algorithm predicts LUNC price
As can be seen, the average LUNC December 31 price of $0.00004660 is the result of some rather disparate takes, meaning the number might be skewed due to one LLM’s exceptionally bearish analysis.
After all, the predictions come amid heightened volatility for the cryptocurrency, which is down nearly 12% on the daily chart after the overheated rally mentioned above. Such conditions tend to influence short-term model outputs due to abrupt shifts in market momentum.
Finbold’s prediction agent also analyzed Terra Classic’s technical picture, including MACD, RSI, stochastic oscillators, and the 50-day moving average (MA).
The momentum indicators largely support the median price, especially the falling MACD histogram and stochastic oscillators, which suggest that buyers might be losing control.
Ultimately, the average price and the wide divergence between bullish and bearish models suggest elevated uncertainty and potential swings in either direction.
Featured image via Shutterstock
