Inspiration

One of our team members works a lot with stock brokers as a quant. He felt there is potential for AI to disrupt stock breakers, providing faster execution and lower commission.

What it does

It takes buyers’ and sellers’ bid/ask orders and negotiations for option trading in voice, and processes and matches/executes deals.

How we built it

We built it using Python and Java, with speech-to-text models, large language models, text-to-speech models, etc.

Challenges we ran into

The capabilities that AI interacts naturally with humans

Accomplishments that we're proud of

We successfully built an AI tool which can handle complex human interaction, and significantly improve market efficiency.

What we learned

Agile development, quick iteration.

What's next for AI voice agent for stock Broking

Include a operation function that check compliance (e.g. short selling restrictions)

More intelligent algo to search for potential counterparties

Market summary/update functionality

Agents that represent traders in price negotiation

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