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In today’s data-driven landscape, having an in-depth understanding of a company’s financial health is paramount for making informed investment decisions. Imagine, however, if you could employ Artificial Intelligence to carry out this heavy lifting for you — and that too without spending a dime. Welcome to the future of financial scrutiny, powered by ChatGPT. In this guide, we will walk you through a step-by-step process to utilize this technology for evaluating a company’s finances. Whether you’re an investment guru or a beginner trying to decipher balance sheets and P&L accounts, this tutorial is your ticket to valuable, actionable insights at no cost. Let’s embark on this fascinating journey where AI converges with financial scrutiny.
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Two Tailored Analytical Approaches
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Understanding that my audience comes from diverse technical backgrounds, this guide provides two tailored strategies for conducting your financial review. Rest easy knowing that both avenues reach the same insightful conclusion, but are designed to suit varying user needs. Your choices are:
- Leverage NexusTrade: An AI-Driven Stock Research Platform, perfect for investors wanting quick, actionable intel without the nitty-gritty.
- Visit My GitHub Repository for the AI Financial Analysis Toolkit: This option is great for developers who want to automate the process and understand what’s going on under the hood.
I will describe each of these approaches in great detail.
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NexusTrade: The Vanguard of AI-Enabled Investments
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NexusTrade is a pioneer in the realm of automated investment platforms, with its jewel being the AI-Powered Chat feature. Say goodbye to cumbersome GitHub downloads, multiple sign-up procedures, and environment variable tangles. With NexusTrade, you converse with a highly sophisticated AI capable of understanding your analytical needs. For instance:
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The AI is able to extract balance sheet information about Nvidia, summarize it, and discuss potential upsides and downsides. This efficiency transforms your financial research, enabling you to cover a wide range of companies with extreme ease.
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Moreover, NexusTrade allows you to design trading strategy portfolios right within the chat interface. For more information on the value of NexusTrade, check out the following article:
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The DIY Route: SimFin API and ChatGPT
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Clone the repository, and set up your environment variables in a .env file like so:
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SIMFIN_TOKEN=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
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Once you’ve configured your environment, update the Python script with the stock ticker, time period, and fiscal year you’re interested in analyzing. Run the following commands:
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pip install -r requirements.txt
python3 main.py
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The AI will generate a well-structured summary covering various financial metrics like Piotroski F-Score, Debt-to-EBITDA ratio, and Dividend Payout Ratio. It also summarizes the information. For instance:
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AI Assistant: Based on the provided financial information, here is a
summary of the company's finances:
1. Balance Sheet:
- Total Assets: $346,747,000,000
- Total Liabilities: $290,020,000,000
- Total Equity: $56,727,000,000
... // other data
7. Other Important Metrics:
- Piotroski F-Score: 4
- Net Debt / EBITDA: 1.53
- Dividend Payout Ratio: 12.56%
The Piotroski F-Score of 4 suggests that the company has a moderate
financial strength. The net debt to EBITDA ratio indicates the company's
ability to repay its debt, with a ratio of 1.53. The dividend payout
ratio suggests that the company distributes a portion of its earnings as
dividends.
Based on the provided information, the company appears to be in a strong
financial position with healthy profitability metrics and positive cash flow.
However, it is important to conduct further research and analysis to
fully understand the company's financial health and prospects.
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If you don’t have an OpenAI API key setup, the script will automatically output the data as a JSON. For example:
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Balance Sheet
{
"Assets": {
"Cash, Cash Equivalents & Short Term Investments": "$51,355,000,000",
"Accounts & Notes Receivable": "$23,752,000,000",
"Inventories": "$6,820,000,000",
"Other Short Term Assets": "$46,850,000,000",
"Total Current Assets": "$128,777,000,000",
"Total Noncurrent Assets": "$217,970,000,000",
"Total Assets": "$346,747,000,000"
},
...
}
Cash Flow
{
"Operating Activities": {
"Net Income": "N/A",
"Depreciation & Amortization": "$2,916,000,000",
"Change in Working Capital": "$-1,497,000,000",
"Net Cash from Operating Activities": "$34,005,000,000"
},
...
}
Derived
{
"Profitability Metrics": {
"EBITDA": "$38,932,000,000",
"Gross Profit Margin": "0.42962",
"Operating Margin": "0.30742",
"Net Profit Margin": "0.25606",
"Return on Equity": "0.52881",
"Return on Assets": "0.08651",
"Return On Invested Capital": "0.15283"
},
...
}
Profit Loss
{
"Income": {
"Revenue": "$117,154,000,000",
"Gross Profit": "$50,332,000,000"
},
...
}
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From here, we can copy/paste the system prompt and the script output into ChatGPT as follows:
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We outlined two approaches for AI-Driven Financial Data Analysis. The first utilizes NexusTrade, the only automated trading platform that prioritized AI use cases. The second approach utilizes the SimFin API and ChatGPT for analysis. Both approaches arrive to the same conclusion, but have different target audiences.
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One potential way to improve this process is by using more specialized GPT models. For example, FinGPT is an open-source generative model specifically trained on Financial Data. It could likely do a better, more robust analysis of a company’s earnings and help you make more informed financial decisions.
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However, remember that AI is not infallible. While it significantly streamlines financial analysis, you should supplement these insights with your own research and due diligence. Make your financial decisions wisely; any action you take based on this guide is at your own risk.
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