Technologies:
Case Study: Developing an AI Agent for a Brokerage Investment Company
Project challenges
A large brokerage investment company approached our IT company with the task of developing an AI agent for their mobile and web applications. The agent needed to analyze large volumes of data, including news feeds and company financial reports, and provide users with valuable insights for making investment decisions.
Solution
Our team of developers created an AI agent that uses LLM and data analysis to process information from various sources. The agent is capable of:
01 Analyzing
Analyzing news feeds to identify key events that may impact the market.
02 Processing
Processing periodic financial reports of companies to identify trends and patterns.
03 Predicting
Predicting possible market events based on data analysis.
04 Highlighting atypical ideas
Highlighting atypical ideas for purchasing stocks, bonds, and other financial instruments.
05 Providing recommendations
Providing recommendations for trades in the futures market.
Results
The developed AI agent has become a valuable tool for users of the brokerage investment company’s mobile and web applications.
It helps them:
Quickly receive information about key market events
Identify potential investment opportunities
Make more informed decisions based on the analysis of large data sets
By using the AI agent, users can save time on data analysis and focus on developing an investment strategy. This increases their efficiency and contributes to better results in the market.
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Ready to work?
-We understaWe understand that every project is different, and every task requires a different approach and planning. EmiSoft will create a software product based on your needs.
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