Financial Modeling Prep

This module is a node wrapper for the free Financial Modeling Prep API. This node application implements almost all aspects of the FMP API.


About FinancialModelingPrep

The FMP API offers different types of data ranging from stock prices and historical data to financial statements and market performance. The complete API documentation is available here.

This API is perfect for someone who loves to dabble with financial data as a hobby and incorporate it into other projects.

I have no affiliation with FinancialModelingPrep and its web API development.

Installation

``bash
npm install --save financialmodelingprep
`

Usage

To use this module first create an account with FinancialModelingPrep and retrieve your API key.

`js
const fmp = require('financialmodelingprep')(apikey)

// Simple Examples

// API route: /quote/AAPL
fmp.stock('aapl').quote().then(response => console.log(response));
//API route: /quote/AAPL,MSFT
fmp.stock(['AAPL', 'MSFT']).quote().then(response => console.log(response));

// API route: /stock/sectors-performance
fmp.market.sector_performance().then(response => console.log(response));

// API route: /quote/USDEUR
fmp.forex('USD', 'EUR').rate().then(response => console.log(response));

`

Keep in mind most of the web API breakdown and routes closely follow the structure of the node functions.

API Documentation

$3

Accessed through fmp.stock({ticker}).{method_name}*
`js
profile() // /profile
quote() // /quote
rating() // /company/rating
current_price() // /stock/real-time-price
history({start_date, end_date, limit, type} = {}) // /historical-price-full/{ticker}?{opts}
dividend_history({start_date, end_date, limit, type} = {}) // /historical-price-full/stock_dividend/{ticker}?{opts}
split_history({start_date, end_date, limit, type} = {}) // /historical-price-full/stock_split/{ticker}?{opts}

financial.income(period = 'annual') // /financials/income-statement
financial.balancesheet(period = 'annual') // /financials/balance-sheet-statement
financial.cashflow(period = 'annual') // /financials/cash-flow-statement
financial.metrics(period = 'annual') // /company-key-metrics
financial.growth(period = 'annual') // /financial-statement-growth
financial.ratios() // /financial-ratios
`
\* The stock parameter can either be pased as a string or an array of market tickers. These tickers can be found either by running search based on corporation name.

$3


Accessed through fmp.market.{method_name}
`js
most_active() // /stock/actives
most_gainer() // /stock/gainers
most_loser() // /stock/losers
sector_performance() // /stock/sectors-performance
trading_hours() // /is-the-market-open

index.list() // /symbol/available-indexes
index.quote(stock = 'all')* // /quote
index.history(stock, { start_date, end_date, data_type, limit } = {})* // /historical-price-full/index/{ticker}?{opts}
`
\* The stock parameter can either be pased as a string or an array of market tickers. These tickers can be found either by running search based on corporation name or through the list function

$3


Accessed through fmp.search()
`js
search(keywords, limit = 10, exchange) // /search?{opts}
`

$3

Accessed through fmp.etf.{method_name}

``js
stocknews() // /symbol/available-etfs
quote(stock = 'all') * // /quote
history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/etf/{ticker}?{opts}
dividend_history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/stock_dividend/{ticker}?{opts}
split_history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/stock_split/{ticker}?{opts}
`
\* The stock parameter can either be pased as a string or an array of market tickers. These tickers can be found either by running search based on corporation name or through the list function

$3


Accessed through fmp.mutualfund.{method_name}

`js
stocknews() // /symbol/available-mutual-funds
quote(stock = 'all') * // /quote
history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/mutual_fund/{ticker}?{opts}
dividend_history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/stock_dividend/{ticker}?{opts}
split_history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/stock_split/{ticker}?{opts}
`
\* The stock parameter can either be pased as a string or an array of market tickers. These tickers can be found either by running search based on corporation name or through the list function

$3


Accessed through fmp.crypto.{method_name}

`js
stocknews() // /symbol/available-cryptocurrencies
quote(stock = 'all') * // /quote
history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/crypto/{ticker}?{opts}
`
\* The stock parameter can either be pased as a string or an array of market tickers. Also, the parameter appends USD to the crypto ticker passed to provide the value in US dollars so if you need to query data in a different currency I would suggest using the forex command and manually convert it to the desired currency.

$3


Accessed through fmp.commodities.{method_name}

`js
stocknews() // /symbol/available-commodities
quote(stock = 'all') * // /quote
history(stock, {start_date, end_date, data_type, limit} = {}) * // /historical-price-full/commodity/{ticker}?{opts}
`
\* The stock parameter can either be pased as a string or an array of market tickers. These tickers can be found either by running search based on corporation name or through the list function

$3


Accessed through fmp.forex({from_ticker}, {to_ticker}).{method_name}
`js
rate() // /quote
history({ start_date, end_date, data_type, limit } = {}) // /historical-price-full/{ticker}?{opts}
`

Contributing

Contributions are welcome! The purpose of this npm package is to create a node wrapper that closely aligns to the free financial API provided by Financial Modeling Prep. If there are any features that are vital and I may have forgotten, feel free to open an issue or complete it by opening a pull request.

Before you open any pull requests, make sure the code structure follows the function calls provided above and the test suite passes, which can be checked by running npm test`. If possible try to keep the coverage of your code at ~100% to ensure future regression stability.

Contact

- Neel Patel (patelneel55@gmail.com)