<(25.02)Comparison of Bitcoin Results by Artificial Intelligence: Bitcoin AI Analysis and Artificial Intelligence Results>
Basic Understanding of Bitcoin AI Analysis
Bitcoin AI analytics is a technology that processes vast amounts of data in real time to predict price fluctuations, market sentiment, and trading patterns. Here, we will look at the Bitcoin market using the latest AI, Grok, and long-proven GPT. Each of these two models offers insight to investors with their unique approaches.
This time, we’re going to analyze 1000 4-hour candle data, RSI, Ilmok cloud, MACD, and Bollinger band
It must reflect macroeconomic factors, so it will include important news stories about finance, important news stories about bitcoin, and expectations of market reactions that combine those things
I’m going to organize these into prompts and analyze how they analyze each other on the same prompt and compare which one is more reliable personally
Comparison of Bitcoin Results by Artificial Intelligence: Grok vs GPT 4o
Grook and GPT have different strengths in Bitcoin analysis. We will compare the prediction results and features of the two models below
Grok – xAI’s Latest Innovations
Developed on xAI, Grok is the latest AI as of 2025, specializing in real-time data processing and market sentiment analysis. For example, Grok, who analyzed a post on Bitcoin on platform X in February 2025, predicted that positive investor sentiment was 87% linked to higher prices.
Advantages: Fast reflection of the latest data, excellent text-based psychological analysis
The downside: Numerical-driven long-term forecasts are still in the validation phase
GPT – The epitome of long-term love
GPT has long been loved for its text analysis and predictive models. Bitcoin analysis predicts the market mood by learning social media and news data. As of the end of 2024, the GPT-based analysis estimated an 80% probability that the price of Bitcoin will travel between $75,000 and $80,000.
Advantage: Reliable results with vast amounts of learning data
Disadvantage: Real-time change response is slower than that
Bitcoin Analysis Case From Grok And GPT
Grock Case: In January 2025, Grock detected a “Bitcoin bull run” keyword surge on X and predicted a price rise within 48 hours. In fact, Bitcoin was up 3% and the forecast hit the bull’s eye
What’s interesting is that I noticed a surge in keywords
GPT Case: GPT Predicts Bitcoin Rising Trends By End Of Year Based On 2024 Half-Life Data, Hits About 75% Accuracy, GPT Hit Based On Reliable Data
It’s a real case, but the important thing is that we can’t just sit there waiting for this kind of moment, so let’s actually use the same prompts to compare what the analysis results are
The lock uses Grok3 and the GPT uses 4o
Example used prompt
1.Report Objective
Analyze Bitcoin trends like a U.S. firm’s monthly report, accessible to all investors.Predict prices using technicals, macros, and fund flows.Emphasize storytelling on market shifts and sentiment over raw data.
2.Key Analysis Points
Summarize current Bitcoin market trends.Compare with historical market patterns.Examine macro indicator correlations with Bitcoin prices.Provide scenario-based price forecasts with probabilities.Offer buy/sell/hold portfolio strategies.
⚠️ Each section must exceed 500 characters, focusing on logical coherence rather than raw numerical data alone. If the generated report falls below 1,500 characters, missing elements will be reanalyzed and supplemented.
3.Technical Analysis: Indicators & Price Dynamics
4.Macroeconomic Analysis & Market Sentiment
5.Conclusion & Strategic Takeaways
*Since it is difficult to provide data in real-time in the command window, I organized it by prompting with an example like this
Conclusion
Grok3
The exact data was not provided separately and suggested that it through itselfThe information analysis has a difference between actual data analysis
The evaluation of past cases and current prices was appropriate, and above all, the computational speed was very fast. Most of all, it’s amazing that even though I didn’t provide the data separately, I automatically collected this size of data and evaluated it with just a prompt, and in the case of GPT, there seem to have been frequent errors about today’s date, but I don’t think Grok3 has a great experience
Honestly, I didn’t know it was this bad. It’s amazing, and even compared to the GPT 4o, I actually feel like it’s no match
GPT
But actually, using GPT is something I’ve been doing since before. Let’s check the link and contents of the relatively latest automatic analysis post+
In the case of GPT, it seems better to figure out the trend than how accurate the report is because I load the data I connect to and write an analysis
Important Differences
The difference between the analysis function of Gork3 and GPT itself is not enormous, but there is a very noticeable difference
1. Grok3 seems much freer to scrape data
I was surprised at this part, but in fact, GPT, which cannot freely refer to real-time data only with prompts, needs to be given daily data by address, API, or screenshot, but I just brought the data freely and analyzed it flexibly.
2. In the case of the issue-sensitive bitcoin market, grok3 is thought to act as a much more useful tool. In particular, news shared by X tended to catch up faster
If there is no significant difference in the analysis function itself, this seems much more flexible and powerful
3. However, the traditional powerhouse GPT seems to have a dominant advantage in repairing the code and constructing the overall prompt. In fact, most of the answers were not problematic with using 4o, but when using o1 together in the process of building the logical composition of the code or prompt, it seemed to deduce and get to the point much better logically.
So which one is better?
If I just want to receive an analysis report and have no intention of accumulating content, and if I am sensitive to issues, I would definitely recommend Grok3. However, if I am thinking of automating by adding and coding various indicators through coding in the long run, I would definitely recommend GPT.
This time, if the analysis report focused on what was better at analyzing, the difference between the two is very small
But depending on the purpose? Both are good choices
Personally, I think Grok3 is if short term issue-oriented reporting is required, and GPT is if long term AI maintenance or management is required
I’m curious what you think. Taking this opportunity to use various AIs myself, I’ll continue to see which AIs are advantageous in what areas and how they combine stock analysis or coin analysis chart macroscopic reactions to produce the best results
