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a-multi-layer-and-multi-ensembled-stock-trader-using-deep-learning-and-deep-reinforcement-learning

athens

A Go module datastore and proxy

ayxinstallers

btc_orderbook_prediction

code_snippets

cookbook-alteryx-server

Chef cookbook for Alteryx Server

dataiku-contrib

Public repository for DSS plugins

deep-learning

deeplob-deep-convolutional-neural-networks-for-limit-order-books

This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.

dgraph

Fast, Distributed Graph DB

dockerstats

Monitor Docker container statistics, including memory and CPU usage, from Go!

dominodatasets

geto

A good enough task offloader

git-commands

A list of commonly used Git commands

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

henchman

Orchestration and Automation tool

interactivebrokerspythonbot

lazydocker

The lazier way to manage everything docker

lob-feature-analysis

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

lobframe

We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.

ml-hft

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

mlops-best-practices

optiver-trading-close

oreilly_reactive_python_for_data

Resources for the O'Reilly online video "Reactive Python for Data"

porter

Porter makes CNAB bundles easier!

py-trading-bot

Trading-bot in python using django, vertorbt lib and interactive-brokers

pysystemtrade

Systematic Trading in python

reinforcement-learning-for-trading

A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.

reinforcement-learning-for-trading-custom-signals

sql-questions