How to use ChatGPT and Grok for the most intelligent coding decisions without plans star-news.press/wp

In the world of fast -moving Crypto, merchants have long relied on plans, such as candles, Fibonacci lines, and Bollinger Bands, to explain the price movement. But a calm transformation is ongoing.

Instead of staring at the graphs or switching between indicators, traders are increasingly turning into artificial intelligence models such as ChatGPT and GROK for real time context, feelings analysis and framing narration. These tools are not directly replaced by graphics, but they have become the first stop for insight, and the number of retail decisions circulated in the field of retail and semi -professional.

Here is how and why it matters.

Tiredness in the encryption graph

Heavy encryption charts with data, but this does not always translate into clarity. Reading it well not only requires technical skill, but also requires emotional control and identifying patterns. For new traders, the plans can become overwhelming: a wall of indicators, conflicting signals, or simply visual noise.

This is where the conversation takes artificial intelligence. Instead of deciphering the relative strength or candlestick index, merchants now ask questions such as, “Is this the time to buy Solana (SOL)?”

AI tools such as Chatgpt and Grok provide an alternative path to insight, which is faster, easier and less intimidated. Instead of analyzing the charts, users feed on claims of natural language such as:

Example 1

Call: Set the current feelings on XRP using the X.

According to GROK, XRP feelings (XRP) are mixed on X but are optimistic with caution. It highlights optimism about organizational stimuli and flexibility, while recognizing the ongoing doubts of centralization and weakness in the past. The summary is well balanced, rich in context and picks up the emotional and narrative gap within the XRP community.

Example 2

Call: If Bitcoin is closed over the moving average for 200 days, what tends to follow up?

ChatgPT response highlights the historical effects of average average movement for 200 days, such as increasing purchasing attention and improved morale. He also referred responsibility for the risk of false escape. The tone is balanced, with a focus on emphasis and context, which makes it suitable for both beginners and medium traders.

Example 3

Call: Compare Solana and Avalanche in terms of user activity this month.

Grok’s response, as shown in the image below, provides a clear comparison supported by data, highlighting the dominance of Solana in the user activity, the size of transactions and decentralized exchange sharing. It contrasts with the growth of Avalanche through the activity of the developer, but it notes weaker standards. The response is brief, rich in information and balanced, with a strong context on the ecosystems engines and institutional impact.

Do you know? Chatgpt benefits from the reinforcement learning of Openai with human comments (RLHF), which has been well seized for useful safe dialogue.

ChatGPT VS. Grok: Who is the most “friend of merchants?”

Chatgpt is perfect for destroying technical indicators, comparing distinctive basics and simulating trading scenarios. It is well integrated with TradingView via additional ingredients or API for those who still want some visual analyzes.

Grok, tightly integrated with X, ideal for actual time and off -cultural signals. It is more convenient to arrest fast or early novels than the encryption community.

To explore how these models are interpreted differently the same inputs, the following two demands were fed in both GPT-4O (Chatgpt) and Grok (via X):

Example directed 1

Call: Give me two reasons for investing in ETHEREUM (ETH) in August 2025.

Directed by Chatgpt:

Grok 3 Director:

As noted above, ChatGPT response provides a broader and easier basis. It focuses on the momentum of traded funds (ETF) and the growth of the ecosystem through layer 2 solutions, decentralized applications, and concepts that are easy to understand for new investors. This response takes a large view of the images and highlights the benefit and dependence of Eter’s (eth). However, it lacks privacy and numerical support in Grok’s response, which may make it feel less in pain or convincing to those looking for solid data or detailed developments.

Grok 3 response provides more data -based and technically reliable justification for investment in Ether in August 2025. It highlights a large institutional interest by referring to a specific ETF flow number ($ 528 million in July 2025), which gives credibility and urgency.

In addition, it indicates the proposal to upgrade Pectra and improve ETHEREUM 7251, which are specific improvements related to the expansion of ETHEREUM and the efficiency of verification. This meets well for investors who know reading and writing technically or those looking for accurate and updated visions. However, the technical language may overwhelm the public masses or unusual unusual investors in ETHEREUM internal mechanics.

Example directed 2

Call: Analyze the price scheme inside the day from BTC/USD from July 26, 2025. Does the increase in the late session indicate an upper momentum, or can it be short pressure or reaction to external news? Provide a possible short -term look.

Directed by Chatgpt:

Grok 3 Product:

As observed, ChatGPT analysis is more flexible and listed. The trading heading to the term is mentioned early, with an outbreak at approximately 11:30 world time and the mass rally near 12:00, with the determination of this step as the transformation of the direction. Possible causes, external news or short pressure, similar to the Grok 3 explanation. Although support/resistance levels are less accurate (117,800 dollars-117,900 dollars), it concludes with bullish expectations with caution, hanging as much as possible. It is easier to follow, but slightly less detailed in technical accuracy.

On the contrary, Grok 3 analysis provides a more divided and data -rich interpretation. The scheme is divided into major sections: trend transformations, the cause of mutation and short -term expectations. The response is observed a clear shift at approximately 11:00 UAE time, with the outbreak of more than $ 118,000, with the support of a possible liquidation event worth $ 144 million and external operators such as geopolitical tensions. The response also determines resistance ($ 118,200-118,500 dollars), regional support (117,600 dollars -117,400 dollars) and explain the late session march as bullish if Bitcoin (BTC) has major levels. This organized artistic collapse of traders helps focus on the main decision points.

Based on two comparative experiences, one of which focuses on investment thinking and the other in market analysis during the day, here is a summary schedule that sets the strengths and weaknesses in Grok 3 and ChatGPT-4O.

So, ChatGPT is your analyst, but Grok is your rolling friend who never sleeps and has always X.

It is worth noting that if other models (such as Gemini or Claude) are used, the outputs are likely to differ in the tone, depth and importance in the actual time, depending on the model’s access to current data, thinking style and field alignment.

Main meals? Various AIS serves different commercial needs. For essentials and organized logic, GPT-4O is a reliable analyst. For feeling and speed, Grok is your socially communicative commercial companion.

Do you know? Grok 3 has been trained in actual time X data, giving it an original advantage in capturing fast -moving and cultural feeling that others often miss.

Will artificial intelligence completely replace the plans?

not quite. Plans remain a founding tool for tactical implementation, especially for daytime merchants, swinging traders, and quantitative systems that depend on actual time, indicators and price structure.

But Amnesty International is starting to handle the cognitive class: “Why” behind “What.”

Where the plans show what is happening, models such as ChatGPT and Grok help explain the reason for their occurrence, digesting macro news, ONChain flows, community feelings, and historical context within seconds. It is increasingly used to framing the narration, simulating scenario and filtering noise signals – the roles plans are not designed to fill them.

Therefore, while the candles will not disappear, they are no longer the only source of insight. Often, merchants now resort to the first intelligence for clarity, direction and speed before confirming the plan.

From plans to Chatbots: How artificial intelligence became the first stop for encryption traders

If you have recently asked AI about a coin before opening the graph, you are not alone. The transition from visual analysis to the conversation is already underway, especially between part -time traders and mobile phone users who prefer direct answers to information boards.

The plans do not go away. But their role changes. They are not always the starting point, only the next layer.

In the space that is of interest to speed, but clarity is the king, artificial intelligence has become the first place to go to merchants asking:

• What leads this step?

• What happened last time?

• What should I see next?

Because sometimes, the smartest plan … is the one who speaks again.

Why artificial intelligence is not a substitute for your strategy

Although artificial intelligence models provide speed and clarity, they are not infallible. Its outputs depend heavily on training data, last content and fast quality. They do not “see” live request books or price movement in an actual time and they may miss Nuance in complex total events.

Excessive dependence can lead to wrong confidence, especially if it is used without checking the plans or news. Traders must deal with artificial intelligence as a thinking assistant, not a trading oracle.

Just as the plans can mislead without context, you can be able to artificial intelligence without verifying. The best ideas come when human rule and automatic thinking work together, not isolated from others.

This article does not contain investment advice or recommendations. Each step includes investment and risk trading, and readers must conduct their own research when making a decision.