Google Gemini AI Predicts XRP Move to $1.50-$1.80 if Price Closes Above $1.18

XRP-0.71%

Google Gemini AI predicts XRP could move to $1.50 to $1.80 within 60 days if the cryptocurrency closes decisively above $1.18. The AI model identifies a supply squeeze as the trigger mechanism, supported by spot ETF inflows absorbing available float and ongoing regulatory clarity in the US. XRP closed at $1.11517, up 0.38%, after breaking a trendline at $1.11 according to Gemini's analysis. The prediction comes as XRP has declined from a September 2025 peak near $3.20, with February bringing a gap down through $1.60 that reset the price structure. Gemini AI also flags low on-chain active addresses as a weakness in the bullish thesis, noting the gap between chart action and actual network activity.

Gemini AI Sets $1.18 as Critical Breakout Level for XRP

Gemini AI specifies a decisive close above $1.18 as the trigger for the predicted price move. The model states the thesis is a supply squeeze rather than a gradual increase. Spot ETF inflows are already absorbing available float according to the analysis. Regulatory clarity in the US continues to build as a background factor. Gemini AI acknowledges a weakness in its own thesis: on-chain active addresses remain low, which the model describes as a network that is quiet under the hood. The model notes that price can break a trendline while still lacking real usage behind it.

XRP Technical Chart Shows Resistance Stack at $1.18, $1.30, and $1.60

XRP closed at $1.11517, up 0.38%, with the session ranging between $1.09823 and $1.12895. The cryptocurrency has been declining since a September 2025 top near $3.20. February brought a gap down through $1.60 that reset the entire structure. Since February, the price has traded in a tightening range between roughly $1.30 and $1.60, then slipped under $1.20 in June. Support sits at $1.05, then the $1.00 psychological level. Resistance stacks at $1.18 first, then $1.30, then the May shelf near $1.60. RSI reads close to 44 with the signal line just under it, near 42. The gap between RSI and its signal line turned mildly positive, indicating short-term momentum is leaning up for the first time in weeks.

Gemini AI Identifies $0.85 Downside Target if XRP Breaks $1.00

Gemini AI outlines a specific downside scenario if a broader market selloff drags XRP under the $1.00 psychological floor. The model predicts a fast correction to $0.85 before any recovery resumes. Gemini describes this as a specific air pocket with a specific number attached, not a mild pullback scenario. The model's entire bullish case depends on momentum surviving contact with $1.18. If XRP fails at that level again, the cryptocurrency returns to trading below $1.00 according to Gemini's analysis.

LiquidChain Presale Reaches $860,000 at $0.01454 Price Point

The source article mentions LiquidChain, describing it as a project that unifies Bitcoin, Ethereum, and Solana networks inside a single execution layer. The presale sits at $0.01454 with just over $860,000 raised. The article notes that execution is unproven and adoption is an open question. Gemini AI identifies it as a coin worth watching according to the source.

FAQ

What price level does Google Gemini AI identify as the trigger for XRP's predicted move? Google Gemini AI specifies that XRP needs a decisive close above $1.18 to trigger the predicted move to $1.50 to $1.80 within 60 days. The model states this breakout level would activate a supply squeeze mechanism.

What downside target does Gemini AI predict if XRP breaks below $1.00? Gemini AI predicts a fast correction to $0.85 if a broader market selloff drags XRP under the $1.00 psychological floor. The model describes this as a specific air pocket before any recovery resumes.

What weakness does Gemini AI identify in its own XRP bullish thesis? Gemini AI acknowledges that on-chain active addresses remain low, which the model describes as a network that is quiet under the hood. The gap between chart action and actual network activity represents the weakness in the bullish case.

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