kz0 Goto Github PK
Type: User
kz0's Projects
bitmex
init
bitmex-arbitrage-bot
we develop one automade bot on bitmex platform according hedge strategy,which proves working well
bitpredict
Machine learning for high frequency bitcoin price prediction
ebay-snipe-frontend
eBay Snipe FrontEnd for https://github.com/ruippeixotog/ebay-snipe-server
ebay-snipe-server
An eBay auction sniping service managed by a RESTful API
examples
Example strategies
fb-mod
FB-Mod
forex_algotrading
My Forex algotrading platform in Python - based on my posts at http://jon.io
freqtrade
Simple High Frequency Trading Bot for crypto currencies
gmusicfs
A FUSE filesystem for Google Music
hosts.extras
Extra rules for https://github.com/StevenBlack/hosts project
krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++
marketmaker
A market robot used for BitMex
mips74k-ar71xx-lede-patch
Patchset for MIPS74Kc AR71xx For LEDE Project
musictags
Website for searching music informations from iTunes and Spotify APIs
nimue
Nimue is a simple Python script for jailbreaking Sony Bravia TVs.
packer-examples-for-vsphere
Packer Examples for vSphere
photon-packer-templates
VMware Photon Packer Templates
pump_and_dump_bot
Pump and Dump Bot for Bittrex Exchange.
pytagger
A simple python interface to collecting and writing iTunes style metadata to your media files automatically.
python-itunes
A simple python wrapper to access iTunes Store API http://www.apple.com/itunes/affiliates/resources/documentation/itunes-store-web-service-search-api.html
skin.ftvfred
Fire TV skin for Kodi
stock-prediction-models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
thenextquant
Asynchronous driven quantitative trading framework.
trading-with-python
Automatically exported from code.google.com/p/trading-with-python
xrypto
opportunity detector and automated trading in crypto exchange market
zenbot
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
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