Ripple (XRP) Buy? Sell?… GPT, Claude, and Grok’s Conflicting Forecasts

Ripple (XRP) has entered a phase of searching for direction, testing support around $1.30 following a recent sharp decline. While major AI models generally agreed that this is a "short-term rebound attempt within a long-term downtrend," they showed distinct differences in their views regarding the trend over the next 24 hours.

XRP is currently trading at around $1.327, having corrected approximately 14% from its recent high of $1.543. Particularly amidst a sharp decline in trading volume and deepening wait-and-see sentiment among market participants, the prevailing assessment is that while the conditions for a technical rebound have been partially met, the structural bearish trend continues.

From a technical perspective, the most notable indicator is the RSI. The RSI (14) is at a level of about 38, which is close to the oversold zone, suggesting the possibility of a short-term rebound. However, the fact that the 200-day moving average is located around $2.06 and shows a divergence of more than 35% from the current price means that the mid-to-long-term downtrend is still strongly maintained.

GPT-5.2

GPT-5.2 maintained a conservative view in its probability-based approach. It judged that it is difficult to view it as a clear rebound signal until the $1.30 support level is maintained. While the possibility of a short-term rebound to the $1.40 level remains open, the analysis indicated that overall downside pressure prevails. Presenting a rebound probability of approximately 42%, it proposed a strategy where a 'short-term trading approach' is valid.

Claude 4.6

Claude Sonnet 4.6 placed more weight on structural weakness. It cited the fact that the current price is hovering within the Fibonacci 0–23.6% range and that a pattern of repeated failed rebounds in downtrends has been confirmed as key grounds. In particular, it left open the possibility of a decline to $1.27 and further to $1.15 if the $1.30 level is broken, assessing the 24-hour probability of a decline at 48%. The probability of a rebound was limited to around 38%.

xAI 4.1

xAI 4.1 presented the most optimistic view. Based on the RSI approaching oversold conditions and the possibility of support forming at $1.30, it assessed the probability of a short-term rebound at 62%. In particular, it placed weight on a short-term technical rebound scenario by suggesting the possibility of a breakout above $1.45 and a retest of $1.48 if trading volume recovers.

Combining the three models, XRP is currently situated in a dual structure characterized by a 'potential technical rebound zone within a long-term downtrend.' The key turning points are summarized as the $1.30 support level and the $1.40–$1.45 resistance zone.

There are three main scenarios for the next 24 hours. First, if the $1.30 support is maintained, a technical rebound could unfold to the $1.40–$1.45 range. Second, if this support line is broken, there is a possibility that the decline could widen to $1.27 and further to $1.15. Third, if sluggish trading volume persists, sideways movement within the $1.30–$1.36 range may continue.

Ultimately, the key factor in the current XRP market is whether support levels can be maintained. While conditions favorable for a rebound have partially formed, the prevailing view is that it is too early to view this as a trend reversal, as structural weakness still dominates the market. In the short term, a high-volatility zone is expected to continue, where technical rebounds and downside risks coexist.

Model Core Strategy Expected High Expected Low Rebound Probability

GPT-5.2 Conservative Approach, Short-term Trading $1.40 $1.29 42%

Claude 4.6 Downtrend Response, Split Buying $1.41 $1.25 38%

xAI 4.1 Support-based Rebound Trading $1.48 $1.29 62%

The RSI is a representative indicator of buying and selling strength; values below 30 are interpreted as oversold, while values above 70 are interpreted as overbought. The 200-day moving average serves as a baseline for long-term trends, and a current price lower than this is often considered a bearish trend. Fibonacci retracements are used to predict key support and resistance levels during uptrends or downtrends.

However, all technical analysis is merely a probability based on past data, and results can vary significantly depending on external variables such as global interest rates, liquidity, and regulatory issues.

This article is based on AI-based data analysis and does not constitute a recommendation to buy or sell any specific asset. In periods of heightened short-term volatility, prices may move in directions different from predictions, and investment decisions must be made prudently at one's own risk.

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