keywords:market data

@stoqey/ib

Interactive Brokers TWS/IB Gateway API client library for Node.js (TS)

ceddy

published 1.3.21 a day ago

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quick-steam-market-fetcher

A Node.js wrapper for the Steam Community Market API.

cakeganic

published 1.0.0 2 months ago

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steam-market-fetcher

A Node.js wrapper for the Steam Community Market API.

snabe

published 2.1.3 4 months ago

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@cedelabs/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 100+ exchanges

cedelabs

published 4.2.56 10 days ago

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@ango-ya/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 100+ exchanges

ango-ya

published 4.2.50 2 months ago

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stock-price-live-feed

Live Stock Price is an NPM package that provides live stock data prices for a given symbol. It fetches the stock price from Yahoo Finance using web scraping techniques.

prnnys

published 1.0.3 2 months ago

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@lnardelli/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 100+ exchanges

lnardelli

published 4.2.64004 6 days ago

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@jalmonter/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 130+ exchanges

jalmonter

published 4.4.0 5 months ago

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steam-market-parser

SteamCommunity market parser. Quick way to parse steam prices for skins

apoloser

published 1.1.5 9 months ago

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@proton/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 130+ exchanges

jafri

published 3.1.75 4 months ago

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@ppegu/ccxt

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 100+ exchanges

ppegu

published 4.1.96 5 months ago

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ccxt-xpr

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading library with support for 130+ exchanges

jafri

published 3.1.67 5 months ago

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live-stock-price

Live Stock Price is an NPM package that provides live stock data prices for a given symbol. It fetches the stock price from Yahoo Finance using web scraping techniques.