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Quick Summary
Shares of Snowflake traded slightly lower over the past month. The dip underscores investor caution on tech valuations amid mixed enterprise spending signals.
Against that backdrop, we ran Snowflake through an AI price-prediction agent powered by OpenAI’s GPT. The goal was to see how a data-driven model handicaps the next 60 days for a stock that has become shorthand for the entire AI trade.
The agent was asked to generate a 60-day outlook for Snowflake, using recent price action and a focused set of technical indicators. At the time of the run, Snowflake traded at $209.65. For the period through April 20, the model’s base-case projection came out to:
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Average predicted price: $214.21
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Implied move: slightly higher over the next 60 days
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Signal snapshot: MACD and RSI both skewed positive
The model is saying that, given current momentum and volatility, the most likely path is a modest grind higher from current levels. Still, broader AI price prediction says that Snowflake could hit $800 by 2030.
If you’re watching that setup and want a straightforward way to express the view, SoFi’s own platform lets users start with as little as $5 in fractional shares, and new users can receive up to $1,000 in free stock.
Snowflake’s consumption-based revenue model stands out as its core strength, billing customers purely on actual data storage and compute usage rather than fixed seats. This aligns perfectly with AI workloads, where unpredictable spikes in training data and inference queries drive outsized consumption. Recent quarters show product revenue surging, fueled by this pay-as-you-go dynamic that scales with enterprise AI adoption.
Rather than slowly scaling position size through a retail account, some active traders use prop firms like Apex Trader Funding to access funded futures accounts of up to $300,000 after a single evaluation.
The Data Cloud’s positioning cements Snowflake as the backbone for AI data pipelines, enabling seamless integration of structured and unstructured data for models like LLMs. Partnerships with Nvidia and Anthropic have accelerated AI monetization, in committed deals highlighting workload growth. Enterprise spending, while selective, prioritizes Snowflake for its multi-cloud flexibility, avoiding vendor lock-in while optimizing costs.
