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yfinance-live

Yahoo Finance Live Data for Node.js

yfinance-redis

Get data from Yahoo Finance through yfinance lib and push it to Redis

yfinance-streamingdata-athena-query

yfinance_article

Contains example code for yfinance article on algotrading101.com

yfinance_streaming_aws_kinesis

Working through provisioning Lambda functions to generate finance data for downstream processing and querying

yfinapi

YFinAPI is a REST API through which you can access Yahoo! finance data provided by YFinance library.

yfinhanced

enhanced wrapper around the yahoo api

yflive

Live Data Streamer for Yahoo! Finance

yfquotes

yftosql

yhpremarket

Yahoo Finance Pre-market

yi_stock_api

yibo

yinscapital

Official quantitative and statistical software (flagship product) published by Yin's Capital. Sample product is presented here. For official product, please go to our website to purchase full version.

yinspy

This is repo for a list of small python projects that I found interesting.

yliveticker-1

Get market data from Yahoo Finance websocket in near-real time.

yodlee_client

Generated using Open API

yolo

An algorithmic trading system, from scratch

yolo-pyqt

yolobot

YoloBot is a NodeJS server that parses incoming TradingView.com alerts and responds to them by placing buy or sell orders on the Binance exchange. It can be easily extended to include any api you wish.

yoohoo-finance-flask

youtube

youtubescanner

yowsup

tgalal's Yowsup library

ysc4228-quantfin

Coursework for YSC4228 Data Science in Quantitative Finance

ystocks-data

yahoo stocks application

ystreamer

Get market data from yahoo finance websocket

yt_backtest_trading_demo

Demonstration of a simple trading strategy backtesting in python

yvol-p3

zags-stock-market-data

Built a Python program that takes live stock market data from the Yahoo Finance Python extension, converts it to a Pandas dataframe. Users can search for stocks or ETF’s by ticker symbol or by company name and see significant datapoints for each stock that I picked by polling perspective users as well as a mutable price graph created using Matplotlib. I plan to extend this project in the coming months by implementing supervised and unsupervised learning techniques to make buy, sell, and hold recommendations for individual users.