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Home AI Finance

FinChat an AI Stock Information Query Tool

FinChat Homepage

FinChat Homepage

Table of Contents

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  • Introduction to FinChat
  • How to Use FinChat
  • Summary

Introduction to FinChat

FinChat is an AI stock information query tool that collects basic information on more than 100,000 global stocks. Users can query information through dialogue with AI and obtain professional and credible data.

FinChat provides free and paid versions. The paid version has more chances of queries and covers wider range of data. Users can also build asset portfolios and monitor their performance in real time.

Related Post: StockGPT an Artificial Intelligence Financial Analysis Platform

FinChat Pricing
FinChat Pricing

How to Use FinChat

We use FinChat to query some stock information. First, we enter the name of the listed company (taking MSFT as an example). FinChat provides comprehensive information about MSFT, including the company’s basic data, profit indicators, valuation indicators, dividend information, and draws a chart of MSFT’s stock price. In addition, FinChat also includes MSFT’s financial modeling, analyst expectations, industry analysis, financial reports to help us fully understand the company.

FinChat Financials
FinChat Financials

We used the AI dialogue function to continue querying, and we query the stock price changes of MSFT in the past three years. FinChat provides a text description and plots MSFT’s stock price changes below.

FinChat Price Chat
FinChat Price Chat

We continue to ask about MSFT’s PE changes in the past three years, and FinChat provides the corresponding text and charts.

FinChat PE Chat
FinChat PE Chat

Summary

As an AI stock information query tool, FinChat can provide professional and comprehensive stock information, and provide users with an excellent experience in terms of page design and interaction. We recommend interested financial professionals to try this platform.

Reference:

The Complete AI Powered Stock Research Platform – FinChat.io

Tags: EnglishFinChatHighly Recommend
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