20 Python libraries for market data everyone should know:

googlefinance

Python module to get stock data from Google Finance API. This module provides no delay, real time stock data in NYSE & NASDAQ.

https://t.co/CcuzkzyX43
Wallstreet

Wallstreet is a Python 3 library for monitoring and analyzing real time Stock and Option data. Quotes are provided from the Google Finance API.

https://t.co/bkSBMTYi98
yfinance

Data for stocks (historic, intraday, fundamental), FX, crypto, and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance.

https://t.co/NhalKeBOTF
Stock Extractor

This package includes a series of stock data extractor class from a few widely used sources, such as Yahoo Finance, https://t.co/Bsoz2ROIiV, etc.

https://t.co/ovOzJcRfzE
pandas-datareader

pandas-datareader used to be part of the pandas project. Now an independent project. Includes data for stocks, FX, economic indicators, Fama-French factors, and many others.

https://t.co/mtvA0FJPjI
finsymbols

Obtains stock symbols and relating information for SP500, AMEX, NYSE, and NASDAQ.

https://t.co/M63VCvgBHY
IBApi

The official API for Interactive Brokers provides access to all the data available through IB. Replaces IBPy.

https://t.co/Gsq1Q5miET
inquisitor

This Python module provides a wrapper around the API of Econdb. com.

https://t.co/7DaWIsvabU
Alpha Vantage

Alpha Vantage delivers a free API for real-time financial data and most used finance indicators in a simple JSON or CSV format.

https://t.co/qLMfOnWPBx
Nasdaq Data Link (formerly Quandl)

Get millions of financial and economic datasets from hundreds of publishers directly into Python.

https://t.co/wlfN3QYYSO
tia

TIA is a toolkit that provides bloomberg data access, easier pdf generation, backtesting functionality, technical analysis functionality, return analysis, and few windows utils.

https://t.co/3pxUpDr76V
Twelve Data

Access 100,000+ symbols for stock, forex, index, and fundamental data from global markets.

https://t.co/EYrD1RTskz
ccy

A python module for currencies. The module compiles a dictionary of currency objects containing information useful in financial analysis.

https://t.co/D8M5XaXQza
Polygon .io

Real-time and historical data for stocks, FX, and crypto.

https://t.co/2FhQgeySOq
Tradier

Python libraries to connect to the Tradier API.

https://t.co/tGaK8mwur0
MetaTrader5

Type the desired financial security name and date in a command, and receive a complete data array. Platform launch, data synchronization with the broker’s server and data transfer to the Python environment is done automatically.

https://t.co/Pnwo7P300T
Alpaca-py

Do everything from streaming market data to creating your own investment apps.

https://t.co/5IVidwb3BU
Finnhub

Real-time RESTful APIs and websockets for stocks, currencies, and crypto.

https://t.co/0tZdg4hNJg
marketstack

Real-time intraday and historical market data with 30+ years of history and 170,000+ tickers.

https://t.co/gzj40MjAfC
Tiingo

End-of-day stock price data API that emphasizes redundancy, transparency, and completeness

https://t.co/YBxOs8Wm8J
Here's what we covered:

tia
ccy
IBApi
Tiingo
Tradier
Alpaca
Finnhub
yfinance
inquisitor
Wallstreet
finsymbols
Polygon .io
marketstack
Twelve Data
MetaTrader5
googlefinance
Stock Extractor
Alpha Vantage
Nasdaq Data Link
pandas-datareader
That's a lot of data!

What to keep all these handy?

Hop back to the top and retweet the top tweet so you can find it later - and so others can find it too!

Here's the link: https://t.co/2CMvKUAPp7

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The question is:
Is this an official account for Bahcesehir Uni (Bau)?


Bahcesehir Uni, BAU has an official website
https://t.co/ztzX6uj34V which links to their social media, leading to their Twitter account @Bahcesehir

BAU’s official Twitter account


BAU has many departments, which all have separate accounts. Nowhere among them did I find @BAUDEGS
@BAUOrganization @ApplyBAU @adayBAU @BAUAlumniCenter @bahcesehirfbe @baufens @CyprusBau @bauiisbf @bauglobal @bahcesehirebe @BAUintBatumi @BAUiletisim @BAUSaglik @bauebf @TIPBAU

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