fmp_py.fmp_upgrades_downgrades

Classes

class fmp_py.fmp_upgrades_downgrades.FMPUpgradesDowngrades(api_key: str = os.getenv('FMP_API_KEY'))

upgrades_downgrades_consensus(symbol: str) → fmp_py.models.upgrades_downgrades.UpgradesDowngrades

Retrieves the upgrades and downgrades consensus data for a given symbol.

Parameters:: symbol (str) – The symbol of the stock.
Returns:: An instance of the UpgradesDowngrades class containing the consensus data.
Return type:: UpgradesDowngrades
Raises:: ValueError – If no data is found for the specified parameters.

upgrades_downgrades_by_company(company: str) → pandas.DataFrame

Retrieves upgrades and downgrades grading data for a specific company.

Parameters:: company (str) – The name of the company.
Returns:: A DataFrame containing the upgrades and downgrades grading data for the specified company.
Return type:: pd.DataFrame
Raises:: ValueError – If no data is found for the specified company.

upgrades_downgrades_rss_feed(page: int = 0) → pandas.DataFrame

Retrieves the upgrades and downgrades RSS feed data from the Financial Modeling Prep API.

Parameters:: page (int) – The page number of the RSS feed to retrieve. Default is 0.
Returns:: A pandas DataFrame containing the upgrades and downgrades data.
Return type:: pd.DataFrame
Raises:: ValueError – If no data is found for the specified parameters.

upgrades_downgrades(symbol: str) → pandas.DataFrame

Retrieves upgrades and downgrades data for a given symbol.

Parameters:: symbol (str) – The symbol for which to retrieve upgrades and downgrades data.
Returns:: A DataFrame containing the upgrades and downgrades data, sorted by published date.
Return type:: pd.DataFrame
Raises:: ValueError – If no data is found for the given symbol.

_process_data(url: str, params: dict) → pandas.DataFrame

Process the data obtained from the API response.

Parameters:

Returns:

A DataFrame containing the processed data.

Return type:

pd.DataFrame

Raises:

ValueError – If no data is found for the given symbol.