Découvrez les prédictions incroyables de ChatGPT/GPT-4 sur l'investissement.

Découvrez les prédictions incroyables de ChatGPT/GPT-4 sur l'investissement.

Table of Contents:

1. Introduction
2. Testing GPT4's Ability to Pick Stocks
3. Benjamin Graham and the Intelligent Investor
4. Methodology of Stock Selection
5. Results and Analysis
   1. Companies Selected by GPT4
   2. Stock Price Changes and Percentages
   3. Comparison with Nasdaq and S&P 500
   4. Money Left Over from Investment
   5. Sorting Results - Hits and Misses
6. Discussion and Future Possibilities
7. Conclusion
8. Highlights
9. Frequently Asked Questions (FAQ)

Introduction

GPT4 is a powerful language-Based AI model that has been making waves in various industries. In this article, we explore its ability to pick stocks and Delve into the intriguing findings. By leveraging historical data and utilizing GPT4's capabilities, we aim to analyze its stock selection skills. Additionally, we touch upon the influence of renowned investor Benjamin Graham and his book "The Intelligent Investor" as a guiding principle for investment behavior.

Testing GPT4's Ability to Pick Stocks

To assess GPT4's prowess in stock picking, we conducted a series of experiments. We utilized historical stock data and fed it into the model, allowing it to make predictions based on all available information up until September 2021. By analyzing the results, we aim to determine the effectiveness of GPT4 in making accurate stock recommendations.

Benjamin Graham and the Intelligent Investor

Before delving into the test results, it is crucial to highlight the significance of Benjamin Graham and his influential book "The Intelligent Investor." Graham, a mentor to legendary investor Warren Buffett, is regarded as a pioneer in value investing. Drawing inspiration from his investment philosophy can prove invaluable in understanding and assessing GPT4's stock picking abilities.

Methodology of Stock Selection

The process of stock selection involved a roundabout approach, utilizing specific criteria to handpick companies. By using sample codes and employing GPT4's capabilities, a list of qualifying companies was generated. This list served as the foundation for further analysis and evaluation.

Results and Analysis

Companies Selected by GPT4

GPT4 successfully generated a list of companies that met the predefined criteria. This list consisted of prominent companies from various sectors, demonstrating GPT4's broad coverage and ability to identify well-known market players.

Stock Price Changes and Percentages

By analyzing the stock price changes and calculating the corresponding percentages, we were able to gauge the performance of the selected companies. This data provided valuable insights into the gains or losses associated with each investment.

Comparison with Nasdaq and S&P 500

To evaluate the stock picks made by GPT4, a comparison was made with the performance of prominent indices like Nasdaq and S&P 500. This allowed us to assess the relative performance of GPT4's recommendations in comparison to well-established benchmark indices.

Money Left Over from Investment

By calculating the potential returns from a hypothetical $1000 investment in each selected stock, we derived the amount of money left over after the specified period. This analysis enabled us to determine the profitability of GPT4's stock picks.

Sorting Results - Hits and Misses

To further analyze the effectiveness of GPT4, we sorted the results to identify the stocks it got right and those where it may have missed the mark. This examination provided insights into the accuracy of the model's recommendations.

Discussion and Future Possibilities

The findings of this test highlight the potential of GPT4 in stock picking. Considering the limitations of this study, such as the overall performance of the stock market, it is crucial to interpret the results within the broader Context. Nonetheless, the success demonstrated by GPT4 demands further exploration, including the possibility of scaling down to smaller companies and seeking opportunities beyond large-cap stocks.

Conclusion

In conclusion, our experiment with GPT4's ability to pick stocks revealed promising results. GPT4 demonstrated its competency in selecting stocks based on historical data and predefined criteria. The comparison with benchmark indices showcased its potential to outperform major market indicators. While additional research is necessary, the findings suggest that GPT4 could become a valuable tool for investors seeking AI-powered insights.

Highlights

• GPT4's ability to pick stocks based on historical data
• The influence of Benjamin Graham's book on investing
• Methodology of stock selection using GPT4's capabilities
• Analysis of stock price changes and performance percentages
• Comparison between GPT4's recommendations and Nasdaq/S&P 500
• Assessment of profitability through money left over from investment
• Sorting of results to identify successful and unsuccessful picks
• Future possibilities and potential applications of GPT4 in stock picking
• Implications of GPT4's performance in the investment landscape

Frequently Asked Questions (FAQ)

Q: What is GPT4, and how does it pick stocks?
A: GPT4 is an advanced AI model that leverages large amounts of data to generate predictions and make decisions. In this case, GPT4 uses historical stock data to analyze Patterns, trends, and other factors to make stock recommendations.

Q: Who is Benjamin Graham, and why is he Relevant to stock picking?
A: Benjamin Graham was a prominent investor and the author of "The Intelligent Investor." His investment philosophy greatly influenced the likes of Warren Buffett. Understanding Graham's principles can provide valuable insights into evaluating stock picking strategies.

Q: How accurate were GPT4's stock picks in the experiment?
A: The experiment yielded promising results, showing that GPT4's stock picks exhibited potential for outperforming benchmark indices. However, it is essential to consider the broader market conditions and other factors when interpreting the accuracy of the picks.

Q: Can GPT4 be effective in picking stocks of smaller companies?
A: While this study focused on large-cap companies, future research could explore the effectiveness of GPT4 in selecting stocks from smaller companies. This would require adjustments to the criteria and considering the unique characteristics of such stocks.

Q: What implications do the findings have for investors?
A: The findings suggest that AI models like GPT4 can be a valuable tool for investors seeking data-driven insights. However, due diligence and comprehensive analysis are essential to interpret the recommendations within the context of individual financial goals and risk tolerance.