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Machine learning algorith sets XRP price for July 1, 2026

Machine learning algorith sets XRP price for July 1, 2026
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XRP price continues to decline, and Finbold’s AI Agent projects further downside for the cryptocurrency by the end of the month.

Namely, the machine learning algorithm estimates that XRP is going to trade at $1.11 on July 1, 2026. With the asset changing hands at $1.13 at the time of publication, the prediction implies a 2.21% decline from the current price of $1.13.

XRP price prediction for July 1. Source: Finbold

AI sets XRP price for July 1

The Finbold AI Agent leveraged three large language models (LLMs) to generate the price – Gemini 3 Flash, ChatGPT5.2, and Grok 4.1 – all of which used several technical indicators in their analysis, including the Moving Average Convergence Divergence (MACD), the Relative Strength Index (RSI), and the 50-day Simple Moving Average (SMA).

The highest XRP price prediction for July 1, 2026, came from ChatGPT, which actually anticipates that the digital asset will climb back 4.42%, to $1.18. In complete contrast, Grok predicts a 4.42% downside and a price of $1.08.

The most bearish prediction, howeve, comes from Gemini, which sets the July 1 XRP price target at $1.06, which implies another 6.64% correction over the next 11 days.

AI predicts XRP price on July 1. Source: Finbold

Why is the AI XRP July price forecast so bearish?

XRP has fallen 3.33% over the past 24 hours to $1.13, underperforming a broadly weaker cryptocurrency market as XRP network activity collapsed.

At the same time, wallets holding at least 1 million XRP have sold more than 30 million tokens over the past five days, much of the supply being sent directly to exchanges.

What’s more, XRP’s losses were amplified by a derivatives market shakeout. Namely, open interest in XRP futures has dropped nearly 15% in the past 24 hours, triggering more than $6 million in long liquidations.

Overall, then, the negative AI XRP forecasts largely reflect a combination of whale redistribution and weakening derivatives positioning.

Featured image via Shutterstock

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