Auto-GPT for Finance - An Exploratory Guide
Auto-GPT is a self-prompting GPT-4 model that can achieve user goals without requiring appropriate prompts. It is a branch of technology used in ChatGPT, and it allows users to give Auto-GPT a task, and it will analyze the task, ask itself questions, and find a satisfactory solution. The Auto-GPT “thinks” of how to solve a problem on its own and shares its thought process with users. Using GPT-4, Auto-GPT can be used for many things like answering questions, exploring ideas, rewriting text, producing code, teaching, tweaking, and more. Auto-GPT allows all of this to be done autonomously by following a goal.
If you are interested in using Auto-GPT for finance, you can optimize portfolios, teach financial concepts, iterate on financial ideas, produce strategy ideas, create algorithmic trading bots, perform investment research, and more.
However, you need to have a few prerequisites handled before starting with Auto-GPT. You can use Google Colab to get started, and obtain your OpenAI API keys from here. Note that you will need to be subscribed to the premium version of OpenAI if you want to use GTP-4. If you aren’t subscribed, the model will use the GPT 3.5 version.
After grabbing the API key from OpenAI, you need to clone the repository. Then, navigate to the main folder and install the required dependencies. Switch to the stable branch, and rename .env.template to .env and fill the OPENAI_API_KEY. In order to run a terminal inside Google Colab, you need to add an additional dependency that will allow you to do that.
To optimize a portfolio with Auto-GPT, you need to create a persona with adequate goals to strive for and a role to play. Create a persona with the following parameters:
- Name: PortAI
- Role: an AI designed to optimize a portfolio with a size of $20k that needs to be allocated to the following assets: global equity ETF, bond ETF, commodities, and crypto ETF.
- Goal 1: perform portfolio optimization for the Sharpe ratio metric
- Goal 2: use a python library to obtain the historical data
- Goal 3: assign a percentage to allocate to each of the provided assets
- Goal 4: play to your strengths as a Large Language Model
- Goal 5: save the proposed portfolio details to a markdown file and shutdown after confirming it was saved
You can see that we gave it enough details while also being vague enough to see how the AI will respond and what it will produce for us.
To make market predictions with Auto-GPT, create a persona with the following parameters:
- Name: NostradAImus
- Role: an AI designed to accurately predict future market trends and overall price movements across various financial sectors.
- Goal 1: perform market trend predictions across major sectors
- Goal 2: perform price movement predictions across major sectors
- Goal 3: propose actions to be performed according to the given market predictions
- Goal 4: play to your strengths as a Large Language Model
- Goal 5: aim to be accurate and provide reasoning for the given predictions
It is important to note that while Auto-GPT is free to use, you need to access OpenAI's API. As of April 15, 2023, you can sign up to access OpenAI’s API and get a free $5 credit, which expires within three months. Otherwise, you need to pay to access OpenAI’s API.
Auto-GPT has a lot of potential in the finance industry and can be used to perform various tasks autonomously. With proper implementation, Auto-GPT can optimize portfolios, make market predictions, and more.
