The post XRP Price Prediction 2025: Expert Warns of Historic 90% Crash appeared first on Coinpedia Fintech News
XRP could be heading for a dramatic price move — and an expert is sounding the alarm. Drawing comparisons to XRP’s explosive rally and subsequent crash in 2017, the expert warns that while a major price surge could be on the horizon, it could quickly be followed by a devastating 90% crash.
History May Be Repeating Itself
According to the expert’s chart analysis, XRP is mirroring its 2017 price structure, when a Bullish Stochastic RSI (SRSI) cross on the monthly time frame triggered a 20x price surge. Back then, XRP skyrocketed before crashing 96%, wiping out unsuspecting investors the analyst refers to as “dumb money.”
Source: Jaydee
The chart shows that XRP is once again approaching a critical SRSI cross, a signal that previously preceded the 2017 rally. The analyst added, “2017 looks a lot like present time before the 20x move.” If history repeats, XRP could see a sharp rally before facing another severe sell-off.
The Warning: Be the 5%, Not the 95%
The analyst challenges traders to be part of the 5% ‘smart money’ who take profits before the market turns. The chart marks a future “pink box” area where he predicts a 90% crash could occur after the next market top.
“Will you be the 5% who takes advantage before the 90% crash… or will you lose like dumb money by the end of the cycle?” the analyst warns.
He also said that while “utility” narratives may drive price speculation temporarily, the window to exit profitably could be short-lived. Once the market euphoria peaks, history is proof that a brutal correction typically follows.
SRSI Confirmation Needed
For now, the key indicator to watch is the monthly Stochastic RSI cross. The analyst warns that this signal needs to confirm itself before traders act, but insists the setup is eerily similar to the conditions that sparked XRP’s historic 2017 rally.
“Are we going to confirm this cross?” the analyst teases, hinting at a make-or-break moment for XRP’s price trajectory.