The Financial Guidance Generator (FGG) is an AI-Driven synthetic conversation dataset generator with a focus on financial advice. This python system uses commercial AI models like ChatGPT to realistically simulate financial advising conversations.
This system is able to produce conversational datasets for:
Investment Strategy
Portfolio Management
Client Education
Market Commentary
Performance Analysis
Conversational datasets for niche use cases like this can be hard to source. Therefore using ChatGPT or another commercial model is a practical alternative.
This system is closed source. This dataset was generated with version 1 of this system.
This dataset contains 249 conversations about financial advice focusing on portfolio management. The dataset is in `*.json` format with meta-data provided.
These datasets are AI driven (ChatGPT) and the datasets are meant to be used in the training/fine-tuning of different LLMs.
The datasets are generated by using an AI model and clever prompt engineering where a financial advisor and client roles are simulated with realistic characteristics. The outputs of these simulated conversations are saved in a format that is readable and ready for training or fine-tuning of a LLM.
This conversational dataset is meant for the training and fine-tuning of an AI model. It also has educational value. A usage guide for this dataset will be provided if demand is significant.
For a one time purchase, usage of this dataset is royalty free.
This dataset is synthetic, and mostly AI-driven. I am not a financial professional, so I am unable to give a skilled review of the dataset before sale. I am not responsible for any further use of the dataset (including any evil AI models) after purchase.
If you decide to use this dataset, please use this information for citation.
@dataset{gbl-fgg-portfolio-management-2-premium,
title={Grandma's Boy Labs: Financial Guidance Generator - Dataset #2 - Portfolio Management},
author={Emmitt J Tucker},
year={2025},
publisher={Grandma's Boy Labs},
url={https://grandmasboylabs.com}
}The Financial Guidance Generator (FGG) is an AI-Driven synthetic conversation dataset generator with a focus on financial advice. This python system uses commercial AI models like ChatGPT to realistically simulate financial advising conversations.
This system is able to produce conversational datasets for:
Investment Strategy
Portfolio Management
Client Education
Market Commentary
Performance Analysis
Conversational datasets for niche use cases like this can be hard to source. Therefore using ChatGPT or another commercial model is a practical alternative.
This system is closed source. This dataset was generated with version 1 of this system.
This dataset contains 249 conversations about financial advice focusing on portfolio management. The dataset is in `*.json` format with meta-data provided.
These datasets are AI driven (ChatGPT) and the datasets are meant to be used in the training/fine-tuning of different LLMs.
The datasets are generated by using an AI model and clever prompt engineering where a financial advisor and client roles are simulated with realistic characteristics. The outputs of these simulated conversations are saved in a format that is readable and ready for training or fine-tuning of a LLM.
This conversational dataset is meant for the training and fine-tuning of an AI model. It also has educational value. A usage guide for this dataset will be provided if demand is significant.
For a one time purchase, usage of this dataset is royalty free.
This dataset is synthetic, and mostly AI-driven. I am not a financial professional, so I am unable to give a skilled review of the dataset before sale. I am not responsible for any further use of the dataset (including any evil AI models) after purchase.
If you decide to use this dataset, please use this information for citation.
@dataset{gbl-fgg-portfolio-management-2-premium,
title={Grandma's Boy Labs: Financial Guidance Generator - Dataset #2 - Portfolio Management},
author={Emmitt J Tucker},
year={2025},
publisher={Grandma's Boy Labs},
url={https://grandmasboylabs.com}
}
