Value investors will benefit from prompt engineering in the future. You will no longer have to waste time reading every single word of an annual report.
You may simply ask ChatGPT or BingChat for an overview of how a firm operates, then spend your time carefully analysing the financial figures.
It's so fantastic that you won't need to pay other analysts or industry experts for the inside scoop.
But there's a catch: your prompts must be excellent enough for these Artificial intelligence dialogues to give you the correct response.
Below is a guide that teaches investors how to create effective prompts to help in business research and the identification of great firms with highly competitive moats.
Here is how you can do with ChatGPT
Before I go into financial details, I'd like to understand how a firm operates.
It's critical to understand how a firm operates since it puts the figures into context. The better you understand how a company arrived at its figures, the better you can forecast future performance.
Even if you receive a decent summary response, you may not feel it is sufficient. This is why I started experimenting with different prompts in ChatGPT. As a result, I began experimenting with other prompt inputs, because if you need to tweak your text inputs with DALL-E to obtain amazing graphics, it only makes sense to do so with ChatGPT.
It also worked!
For a more detailed response, ask the AI chat to elaborate.
Foor example if you are searching for any company's business model ask AI to elaborate on it.
As value investors, we like to read the responses from the perspective of a value investor rather than a layman. That is, a response that is more contextually relevant to us is more meaningful than one that is directed at a non-investor.
I prefer to fine-tune the tone since I occasionally want a different take on the same subject. The style is important because various styles display information in different ways.
When you converse with AI, you are not conversing with a sentient being. You're not talking to anyone. This means you're sending code to the software, which understands what you're saying and returns a response.
If you're experienced with computer programming, this shouldn't be too difficult. However, there will be a minor learning curve if you are new to it.
Imagine that you're providing step-by-step instruction 5-year-old. This means You're not going to deliver a big, sophisticated instruction, but rather a series of short, straightforward ones.
Traders may direct GPT-3 to produce high-quality output that matches their demands by carefully developing prompts. Prompt Engineering may help traders remain ahead of the game and maximise their earnings by detecting prospective purchasing opportunities, formulating long-term investing plans, or analysing market patterns.
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