sector_pe_ratios

FinancialModelingPrep.sector_pe_ratiosFunction
sector_pe_ratios(fmp, params...)

Returns sector pe ratios.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.
  • params...: Additional keyword query params.

See Sectors-PE-Ratio for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the sector PE ratios of the NYSE on Jan 1, 2023
data = sector_pe_ratios(fmp, date = "2023-01-01", exchange = "NYSE")

industry_pe_ratios

FinancialModelingPrep.industry_pe_ratiosFunction
industry_pe_ratios(fmp, params...)

Returns industry pe ratios.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.
  • params...: Additional keyword query params.

See Industries-PE-Ratio for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the industry PE ratios of the NYSE on Jan 1, 2023
data = industry_pe_ratios(fmp, date = "2023-01-01", exchange = "NYSE")

sector_performances

FinancialModelingPrep.sector_performancesFunction
sector_performances(fmp)

Returns sector performances.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.

See Sectors-Performance for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the sector performances
data = sector_performances(fmp)

historical_sector_performances

FinancialModelingPrep.historical_sector_performancesFunction
historical_sector_performances(fmp, params...)

Returns historical sector perfromances.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.
  • params...: Additional keyword query params.

See Sectors-Performance for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the 10 most recent historical sector performances
data = historical_sector_performances(fmp, limit = 10)

gainers

FinancialModelingPrep.gainersFunction
gainers(fmp)

Returns the biggest gainers.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.

See Most-Gainer for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the biggest gainers
data = gainers(fmp)

losers

FinancialModelingPrep.losersFunction
losers(fmp)

Returns the biggest losers.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.

See Most-Loser for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the biggest losers
data = losers(fmp)

most_active

FinancialModelingPrep.most_activeFunction
most_active(fmp)

Returns the most active symbols.

Arguments

  • fmp::FMP: A Financial Modeling Prep instance.

See Most-Active for more details.

Examples

# create a FMP API instance
fmp = FMP()

# get the most active symbols
data = most_active(fmp)