MetaGPT: Cybersecurity's Impact on Investment Choices

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This article is an excerpt from the book, The Future of Finance with ChatGPT and Power BI, by James Bryant, Alok Mukherjee. Enhance decision-making, transform your market approach, and find investment opportunities by exploring AI, finance, and data visualization with ChatGPT's analytics and Power BI's visuals.

Introduction

The MetaGPT model is a highly advanced and customizable model that has been designed to address specific research and analysis needs within various domains. In this particular context, it’s geared towards identifying investment opportunities within the US market that are influenced by cybersecurity regulatory changes or cyber breaches.

Roles and responsibilities

The model has been configured to perform various specialized roles, including these:

• Cybersecurity regulatory research: Understanding changes in cybersecurity laws and regulations and their impact on the market
• Cyber breach analysis: Investigating cyber breaches, understanding their nature, and identifying potential investment risks or opportunities
• Investment analysis: Evaluating investment opportunities based on insights derived from cybersecurity changes
• Trading decisions: Making informed buy or sell decisions on financial products
• Portfolio management: Overseeing and aligning the investment portfolio based on cybersecurity dynamics Here’s how it works
• Research phase: The model initiates research on the given topics, either cybersecurity regulations or breaches, depending on the role. It breaks down the topic into searchable queries, collects relevant data, ranks URLs based on credibility, and summarizes the gathered information.
• Analysis phase: Investment analysts then evaluate the summarized information to identify trends, insights, and potential investment opportunities or risks. They correlate cybersecurity data with market behavior, investment potential, and risk factors.
• Trading phase: Based on the analysis, investment traders execute appropriate trading decisions, buying or selling assets that are influenced by the cybersecurity landscape.
• Management phase: The portfolio manager integrates all the insights to make overarching decisions about asset allocation, risk management, and alignment of the investment portfolio.

The following are its purposes and benefits:

• Timely insights: By automating the research and analysis process, the model provides quick insights into a dynamic field such as cybersecurity, where changes can have immediate market impacts
• Data-driven decisions: The model ensures that investment decisions are grounded in comprehensive research and objective analysis, minimizing bias
• Customization: The model can be tailored to focus on specific aspects of cybersecurity, such as regulatory changes or particular types of breaches, allowing for targeted investment strategies
• Collaboration: By defining different roles, the model simulates a collaborative approach, where various experts contribute their specialized knowledge to achieve a common investment goal

In conclusion, the MetaGPT model, with its diverse roles and sophisticated functions, serves as a powerful tool for investors looking to leverage the ever-changing landscape of cybersecurity. By integrating research, analysis, trading, and portfolio management, it provides a comprehensive, datadriven approach to identifying and capitalizing on investment opportunities arising from the complex interplay of cybersecurity and finance. It not only streamlines the investment process but also enhances the accuracy and relevance of investment decisions in a rapidly evolving field.

Source: GitHub: MIT License: https://github.com/geekan/MetaGPT.

Source: MetaGPT: Meta Programming for Multi-Agent Collaborative Framework Paper:

[2308.00352] MetaGPT: Meta Programming for Multi-Agent Collaborative Framework (arxiv.org) (https://arxiv.org/abs/2308.00352)

By Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu

The following is a Python code snippet:

1. Begin with the installations:

npm --version

sudo npm install -g @mermaid-js/mermaid-cli

git clone https://github.com/geekan/metagpt

cd metagpt

python setup.py install

2.  Run the following Python code:

# Configuration: OpenAI API Key
# Open the config/key.yaml file and insert your OpenAI API key in place of the placeholder.
# cp config/config.yaml config/key.yaml
# save and close file

# Import Necessary Libraries
import asyncio
import json
from typing import Callable
from pydantic import parse_obj_as

# Import MetaGPT Specific Modules
from metagpt.actions import Action
from metagpt.config import CONFIG
from metagpt.logs import logger
from metagpt.tools.search_engine import SearchEngine
from metagpt.tools.web_browser_engine import WebBrowserEngine, WebBrowserEngineType
from metagpt.utils.text import generate_prompt_chunk, reduce_
message_length

# Define Roles
# NOTE: Replace these role definitions as per your project's needs.
RESEARCHER_ROLES = {
   'cybersecurity_regulatory_researcher': "Cybersecurity 
Regulatory Researcher",
   'cyber_breach_researcher': "Cyber Breach Researcher",
   'investment_analyst': "Investment Analyst",
   'investment_trader': "Investment Trader",
   'portfolio_manager': "Portfolio Manager"
}

# Define Prompts
# NOTE: Customize these prompts to suit your project's specific requirements.
LANG_PROMPT = "Please respond in {language}."

RESEARCH_BASE_SYSTEM = """You are a {role}. Your primary goal is 
to understand and analyze \
changes in cybersecurity regulations or breaches, identify 
investment opportunities, and make informed \
decisions on financial products, aligning with the current 
cybersecurity landscape."""

RESEARCH_TOPIC_SYSTEM = "You are a {role}, and your research 
topic is \"{topic}\"."

SEARCH_TOPIC_PROMPT = """Please provide up to 2 necessary 
keywords related to your \
research topic on cybersecurity regulations or breaches that 
require Google search. \
Your response must be in JSON format, for example: 
["cybersecurity regulations", "cyber breach analysis"]."""

SUMMARIZE_SEARCH_PROMPT = """### Requirements
1. The keywords related to your research topic and the search results are shown in the "Reference Information" section.
2. Provide up to {decomposition_nums} queries related to your research topic based on the search results.
3. Please respond in JSON format as follows: ["query1", 
"query2", "query3", ...].
### Reference Information
{search}
"""

DECOMPOSITION_PROMPT = """You are a {role}, and before delving 
into a research topic, you break it down into several \
sub-questions. These sub-questions can be researched through online searches to gather objective opinions about the given \
topic.
---
The topic is: {topic}
---
Now, please break down the provided research topic into 
{decomposition_nums} search questions. You should respond with 
an array of \
strings in JSON format like ["question1", "question2", ...].
"""
COLLECT_AND_RANKURLS_PROMPT = """### Reference Information
1. Research Topic: "{topic}"
2. Query: "{query}"
3. The online search results: {results}
---
Please remove irrelevant search results that are not related to the query or research topic. Then, sort the remaining search 
results \
based on link credibility. If two results have equal credibility, prioritize them based on relevance. Provide the 
ranked \
results' indices in JSON format, like [0, 1, 3, 4, ...], without including other words.
"""
WEB_BROWSE_AND_SUMMARIZE_PROMPT = '''### Requirements
1. Utilize the text in the "Reference Information" section to respond to the question "{query}".
2. If the question cannot be directly answered using the text, 
but the text is related to the research topic, please provide \
a comprehensive summary of the text.
3. If the text is entirely unrelated to the research topic, 
please reply with a simple text "Not relevant."
4. Include all relevant factual information, numbers, statistics, etc., if available.
### Reference Information
{content}
'''

CONDUCT_RESEARCH_PROMPT = '''### Reference Information
{content}
### Requirements
Please provide a detailed research report on the topic: 
"{topic}", focusing on investment opportunities arising \
from changes in cybersecurity regulations or breaches. The report must:
- Identify and analyze investment opportunities in the US market.
- Detail how and when to invest, the structure for the investment, and the implementation and exit strategies.
- Adhere to APA style guidelines and include a minimum word count of 2,000.
- Include all source URLs in APA format at the end of the report.
'''
# Roles
RESEARCHER_ROLES = {
   'cybersecurity_regulatory_researcher': "Cybersecurity 
Regulatory Researcher",
   'cyber_breach_researcher': "Cyber Breach Researcher",
   'investment_analyst': "Investment Analyst",
   'investment_trader': "Investment Trader",
   'portfolio_manager': "Portfolio Manager"
}

# The rest of the classes and functions remain unchanged

Important notes

• Execute the installation and setup commands in your terminal before running the Python script
• Don’t forget to replace placeholder texts in config files and the Python script with actual data or API keys
• Ensure that MetaGPT is properly installed and configured on your machine

In this high-stakes exploration, we dissect the exhilarating yet precarious world of LLM-integrated applications. We delve into how they’re transforming finance while posing emergent ethical dilemmas and security risks that simply cannot be ignored. Be prepared to journey through real-world case studies that highlight the good, the bad, and the downright ugly of LLM applications in finance, from market-beating hedge funds to costly security breaches and ethical pitfalls.

Conclusion

"In an era shaped by cyber landscapes, MetaGPT emerges as the guiding light for astute investors. Seamlessly blending cybersecurity insights with finance, it pioneers a data-driven approach, unveiling opportunities and risks often concealed within regulatory shifts and breaches. This model isn't just a tool; it's the compass navigating the ever-changing intersection of cybersecurity and finance, empowering investors to thrive in an intricate, high-stakes market."

Author Bio

James Bryant, a finance and technology expert, excels at identifying untapped opportunities and leveraging cutting-edge tools to optimize financial processes. With expertise in finance automation, risk management, investments, trading, and banking, he's known for staying ahead of trends and driving innovation in the financial industry. James has built corporate treasuries like Salesforce and transformed companies like Stanford Health Care through digital innovation. He is passionate about sharing his knowledge and empowering others to excel in finance. Outside of work, James enjoys skiing with his family in Lake Tahoe, running half marathons, and exploring new destinations and culinary experiences with his wife and daughter.

Aloke Mukherjee is a seasoned technologist with over a decade of experience in business architecture, digital transformation, and solutions architecture. He excels at applying data-driven solutions to real-world problems and has proficiency in data analytics and planning. Aloke worked at EMC Corp and Genentech and currently spearheads the digital transformation of Finance Business Intelligence at Stanford Health Care. In addition to his work, Aloke is a Certified Personal Trainer and is passionate about helping his clients stay fit. Aloke also has a passion for wine and exploring new vineyards.