I'm new to investing, and l've lost a good sum trying out strategies I found in online tutorials. I would sincerely appreciate any recommendations you have.
The first step to successful investment is figuring your goals and risk tolerance either on your own or with the help of a financial professional but it's very advisable you make use of professional
Very good foundational work in terms of the overall development process. However its still a very simple autonomous model. I would include more specific datasets, and apply pre existing financial models for LLMs to follow. The models work load is mainly being process by GPT, if you're going to switch to a local provider like ollama, the results are definitely going to suffer when compared to GPT. You should look into specific NLP models that are tailored to financial analysis, or train your own model on a framework like CUDA or Pytorch, which would allow you to fine tune specifically to a task. However that would require significantly more time and money. Also another good component to add, is to just allow the user to input a specific ticker in console instead of setting it inside the project.
I'm new to investing, and l've lost a good sum trying out strategies I found in online tutorials. I would sincerely appreciate any recommendations you have.
As a beginner, it's essential for you to have a pro or a very good trader to keep you accountable.
If you can, then get a professional to trade for you I think that way your assets are more secure.
Someone like expert viola patterson
The first step to successful investment is figuring your goals and risk tolerance either on your own or with the help of a financial professional but it's very advisable you make use of professional
This is correct, viola strategy has normalized winning trades for me also and it's a huge milestone for me looking back to how it all started.
Very good foundational work in terms of the overall development process. However its still a very simple autonomous model. I would include more specific datasets, and apply pre existing financial models for LLMs to follow. The models work load is mainly being process by GPT, if you're going to switch to a local provider like ollama, the results are definitely going to suffer when compared to GPT. You should look into specific NLP models that are tailored to financial analysis, or train your own model on a framework like CUDA or Pytorch, which would allow you to fine tune specifically to a task. However that would require significantly more time and money. Also another good component to add, is to just allow the user to input a specific ticker in console instead of setting it inside the project.
I have been working on the concepts for doing this for crypto futures trading. But wow you guys are so far ahead.... i'm learning form 0
Do you make coin?
Did you just say git? I'm pretty sure it's pronounced git 😮😅