In the rapidly changing environment of the cryptocurrency market, traders have long relied on chart interpretations such as candlestick charts, Fibonacci lines, and Bollinger Bands to analyze price trends, but this habit is quietly changing.

Now, traders are no longer just staring at charts or frequently switching between various indicators. More and more people are beginning to utilize AI models like ChatGPT and Grok to obtain real-time market context, sentiment analysis, and narrative frameworks. While these tools have not completely replaced charts, they have become the preferred choice for information insights, changing the decision-making processes of many retail and semi-professional traders.

Below are detailed application methods and their significance.

Cryptocurrency chart data is dense, but the information is not necessarily clear. Understanding charts requires not only technical skills but also emotional control and pattern recognition. For beginners, charts often represent a "high wall" made up of piled indicators, conflicting signals, and even purely chaotic information.

At this point, conversational AI has emerged. Traders no longer need to analyze relative strength index bands or candlestick shadows; instead, they can ask the model questions, such as: "Is now a good time to buy Solana (SOL)?"

AI tools like ChatGPT and Grok provide another pathway for gaining insights—faster, more intuitive, and easier to use. Users do not need to parse chart data; they simply input natural language prompts, such as:

Prompt: Use X to discuss and summarize the current sentiment towards XRP.

Grok's analysis shows that the market sentiment regarding Ripple (XRP) on platform X is generally cautiously optimistic. Users hold a positive attitude towards regulatory benefits and project resilience, while also remaining skeptical about its centralization and past performance. The summary is balanced, context-rich, and accurately reflects the emotional divides and narrative schisms within the Ripple community.

Prompt: What usually happens if Bitcoin's closing price is above its 200-day moving average?

ChatGPT's response emphasizes the historical significance of breaking the 200-day moving average, such as increased buying interest and improved sentiment. It also responsibly points out the risks of false breakouts. The tone is balanced, emphasizing confirmation and context, making it suitable for beginners and intermediate traders.

Prompt: Compare user activity for Solana and Avalanche this month.

Grok's response, as shown in the image below, provides a clear, data-supported comparison, highlighting Solana's dominance in user activity, trading volume, and decentralized exchange participation. It compares Avalanche's growth through developer activity but points out weaker indicators. The response is concise, information-rich, and balanced, providing a strong contextual framework around ecosystem drivers and institutional influences.

Did you know? ChatGPT benefits from OpenAI's human feedback reinforcement learning (RLHF) and has been fine-tuned for safe, guided conversations.

ChatGPT excels at breaking down technical indicators, comparing token fundamentals, and simulating trading scenarios. For users with visualization analysis needs, it can integrate with TradingView through plugins or APIs.

Grok is closely integrated with platform X, making it more suitable for capturing real-time sentiment and meme coin-related cultural signals. It performs better in capturing rapidly changing community narratives and early "alpha" signals.

To compare the interpretative differences of the two models on the same input, the following two prompts were input into GPT-4o (ChatGPT) and Grok (via X):

Prompt: Give two reasons to invest in Ethereum (ETH) in August 2025.

ChatGPT output:

Grok 3 output:

As shown above, ChatGPT provides broader and more easily understandable reasons, focusing on the momentum of exchange-traded funds (ETFs) and ecosystem growth through layer two solutions and decentralized applications, which are more accessible to novice investors. The response emphasizes the utility and application expansion of Ether (ETH) from a macro perspective but lacks the specific data support provided by Grok, making it less persuasive for data-focused investors.

Grok 3, on the other hand, articulates the reasons for investing in Ether in a data-driven, technically detailed manner. It highlights significant ETF inflows from institutional investors and cites the inflow data of $528 million on July 5, 2025, enhancing authority and urgency.

Additionally, Grok mentions the Pectra upgrade and Ethereum Improvement Proposal 7251, both directly related to Ethereum's scalability and validator efficiency, making it more suitable for technical investors or users seeking precise, up-to-date insights. For general readers or casual investors unfamiliar with Ethereum's internal mechanisms, the technical language may be difficult to understand.

Prompt: Analyze the BTC/USD intraday price chart on July 26, 2025. Identify any visible trend changes or breakout levels. Does the late-session surge indicate bullish momentum, or could it be a short squeeze or a reaction to external news? Provide possible short-term outlooks.

ChatGPT output:

Grok 3 output:

As shown above, ChatGPT's analysis is more fluid and narrative-based. It mentions early range trading, a breakout around 11:30 UTC, and a rebound near 12:00, identifying this movement as a trend change. Potential reasons, such as external news or short squeezes, are similar to Grok 3's explanation. While the support/resistance levels are less precise ($117,800-$117,900), it concludes with a cautiously bullish outlook, noting the possibility of a pullback. It is easier to understand but slightly lacking in technical precision.

Grok 3's analysis is more structured and data-rich, dividing the chart into trend changes, upward drivers, and short-term expectations. It clearly points out a trend reversal at 11:00 UTC, breaking above $118,000, possibly accompanied by a $144 million liquidation event and external factors like geopolitics. It highlights resistance ($118,200-$118,500) and support ($117,600-$117,400) ranges, concluding that as long as Bitcoin (BTC) maintains key levels, there is bullish potential. This type of structured, technical analysis helps traders focus on key decision points.

Based on the two comparative experiments, one focusing on investment reasons and the other on intraday market analysis, here is a summary table of the pros and cons of Grok 3 and ChatGPT-4o.

Thus, ChatGPT acts like your analyst, while Grok is that trading partner who is always scrolling through X, never resting.

It should be noted that if other models (like Gemini or Claude) are used, the output results may vary in tone, depth, and real-time nature due to their different capabilities in obtaining real-time data, reasoning methods, and domain matching.

Core conclusion? Different AIs suit different trading needs. GPT-4o is a reliable analyst in fundamentals and structured logic, while Grok is a market-close trading assistant in sentiment insights and speed.

Did you know? Grok 3 is trained on real-time data from platform X, giving it a natural advantage in capturing rapidly changing sentiments and industry language, something other models often struggle to achieve.

No. Charts remain the core tools for intraday operations, swing trading, and quantitative systems that rely on real-time volume, indicators, and price structure strategies.

But AI is gradually dominating the cognitive aspect of trading—namely, the "why" behind these market movements.

Charts reflect "what happened," while models like ChatGPT and Grok help explain "why it happened," integrating macro news, on-chain capital flows, community sentiment, and historical context in seconds. These tools are increasingly used for narrative building, scenario simulation, and signal filtering—capabilities that charts were not originally designed for.

Therefore, candlestick charts will not disappear, but they are no longer the only source of information. Now, traders are more inclined to clarify direction, gain insights, and speed up decision-making through AI before confirming with charts.

If you have recently asked an AI model for information about a particular coin before opening a chart, you are not alone. The shift from visual analysis to conversational analysis is underway, especially among part-time traders and mobile-first users who prefer direct answers over dashboards.

Charts will not disappear. But their role is changing. They are no longer always the starting point, just the next layer.

In a field where speed is important but clarity is king, AI is becoming the first place traders go to ask:

What is driving this movement?

What happened last time?

What should I focus on next?

Sometimes, the most valuable "chart" is actually the one that can respond to your questions.

While AI models bring speed and clarity, they are not infallible. The results of the models heavily depend on the quality of training data, the latest information, and the quality of input prompts. They cannot directly "see" real-time order books or price changes and may miss details in complex macro events.

Over-reliance on AI can lead to misjudgments, especially in the absence of chart or news cross-validation. Traders should view AI as an assistant for thought rather than the sole basis for trading decisions.

Just as charts can mislead when taken out of context, AI outputs also carry risks when unchecked. The best insights come from the collaboration of human judgment and machine reasoning, not from isolated operation.

Related: How to Use ChatGPT to Predict Altcoin Rises

Original article: “How to Use ChatGPT and Grok to Interpret Market Sentiment Before Looking at Charts”

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