Machine learning algorithm predicts Solana price for September 30, 2026

Solana (SOL) has enjoyed a substantial rally within the last 30 days, and Finbold’s machine learning algorithm estimates that the uptrend is far from exhausted.
Specifically, after consulting a set of technical analysis (TA) indicators, including oscillators, moving averages (MA), and the relative strength index (RSI), the Finbold AI agent determined that SOL will rally 7.77% by September 30, 2026, and reach $113.11.
Between the six artificial intelligence (AI) models included in the predictive system, ChatGPT-5.6 Terra proved the most bullish, as it set its price target at $119.40: 13.76% above September 7’s $105.66.
China’s most recognizable AI, DeepSeek, was the least optimistic, with an estimated 3.58% Solana rally to $108.72 by September 30, 2026.
Meanwhile, Google’s (NASDAQ: GOOGL) model, Gemini 3.5 Flash, was the second-most bullish. Indeed, it set its price target at $114.50 for a 9.09% predicted upside.
OpenAI’s other two variants, Sol and Luna, estimated a 7.09% and a 6.52% rise by September 30, respectively.
Lastly, Grok 4.5 – the AI run by Elon Musk’s newer public company SpaceX (NASDAQ: SPCX) – forecasted a 6.56% rally to $111.95 for Solana through the rest of the month.
Solana price soars 33% in 30 days
Elsewhere, SOL proved a major beneficiary of the rally that affected most of the cryptocurrency market in late August. In the 30-day chart, Solana is 33.08% in the green, and it recorded a substantial rise from $101.95 to $105.66 in the last 24 hours, hinting that a new breakout might be coming.
Zooming out, the most recent moves made by digital assets led numerous traders and analysts to conclude the bear market might be at its end, meaning the cycle bottom might have come slightly earlier than early October, as has been predicted as early as January 2026.
Still, it is also noteworthy that few experts anticipate a completely smooth uptrend, with at least one more significant correction expected before the next decisive break above resistances.
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