Boolio Global ETF GPT

This GPT Contains knowledge files.

List All the Financial Item Number (FSItem) for a given factor or indicator. This endpoint provides financial item numbers and their corresponding content.

List All the economic indicator codes.

List All industry codes.

List All famous investors by name.

Provide detailed stock analysis based on a specific topic

Analyze Key Features of a Stock for Informed Investment Decisions. The available features are Profitability, Growth, Undervalued, Momentum, FinancialStability, Sentiment, and ShareholderReturn.

Get historical financial data for multiple FSItems of a company

Get stock prices from the start date

An API that provides portfolio characteristic analysis for user-specified stocks.\n\nThis endpoint evaluates portfolios based on user-specified stocks, regions, and weights. It includes factor analysis against the S&P 500 benchmark and a BoolioScore on a 100-point scale to assess portfolio strength.\n

Retrieve historical stock prices for specified stocks using tickers and regions. For example, "005930_AAPL" for Samsung Electronics and Apple in regions "KR_US", starting from a user-specified date.

Retrieves the top (num_stocks) stocks in a specific region based on a specified topic.\n\nThis endpoint fetches the top (num_stocks) stocks in a specified region, ranked according to a specified topic. if question about bottom (num_stocks) stocks, set sign = -1.\n

Retrieves stocks within a specific factor value range. Call GetMultipleStocksCurrentFinanceDataByFSitems conversation first for fsitem value. Use default minimum float if Factor_lower is absent and maximum float if Factor_upper is not provided.

Retrieves stocks in a region matching multiple factor ranges. Factors defined by fsitem, factor_lower, factor_upper, and period_typ, specified in path with underscores.

Retrieves backtesting simulation results for a model matching multiple factor ranges in a region. Factors defined by fsitem, factor_lower, factor_upper, period_typ, specified in the path with underscores. Results shown in markdown table format.

Retrieve stocks that have passed specific technical indicator criteria.\n\n\n

Provides recommended stocks in industries based on a specified topic. Use FindIndustryCodes conversation to find related industries first. Input industries as IndustryCode1_IndustryCode2_... (e.g., 1111_2222_1222_...). Use FindIndustryCodes conversation to find relevant industries.

Provides a detailed outlook across various industries in a region\n\nThis endpoint delivers a comprehensive analysis and future outlook of industries.\n

Returns median factor values for industries in a region, specified by ISO Alpha-2 code. Industry detail level ranges from 1 (least) to 5 (most detailed), defaulting to 2.

Accesses documents from regulatory agencies like exchanges and financial authorities for a specified region. Retrieves latest documents by ISO Alpha-2 code, including FOMC minutes and disclosure materials.

Identifies historical dates with price trends similar to current ones based on specified economic indicators (ecoitems). Users input ecoitems as a series of numbers, each separated by underscores.

Analyze Trends Following a Historical Date Based on Topic\n\nThis endpoint provides an analysis of financial trends and changes occurring after a specified historical date, focused on a selected topic.\n

Retrieve companies based on theme or sector query.\n\nReturns the top 20 companies with business descriptions that have high semantic similarity with the provided query.\n

Retrieve companies based on theme or sector query.\n\nReturns the top 20 companies with business descriptions that have high semantic similarity with the provided query.\n

It shows a list of ETFs containing the stock entered by the user.\n\nReturns a list of ETFs that include the specified stock.\n

It shows a list of ETFs containing the stock entered by the user.show top 20 stocks in ETF. Find Ticker by GPT assistant.\n\n\n

Retrieve the optimal ETF allocation for a specified target return and investment period.\n\nA module that presents the optimal ETF portfolio when the user specifies the expected rate of return and the investment period.\n

The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions.

Enabling Web Browsing, which can access web during your chat conversions.

You can upload files to this GPT.