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algorithmictrading-machinelearning

Deep Learning - Neural network (RNN, LSTM & GRU)

algotools

Trading algorithmic strategies and tools

antminers9i

antminerS9i

awesome-ai-in-finance

🔬 A curated list of awesome machine learning strategies & tools in financial market.

benchmarkdotnet

Powerful .NET library for benchmarking

cgminer

ASIC and FPGA miner in c for bitcoin

chronicle-engine

A high performance, low latency, reactive processing framework

chronicle-map

Replicate your Key Value Store across your network, with consistency, persistance and performance.

chronicle-queue

Micro second messaging that stores everything to disk

chronicle-wire

A Java Serialisation Library that supports multiple formats

collections

High performance and low latency Exchange Collections written in Java

confluent-kafka-dotnet

Confluent's Apache Kafka .NET client

continuousprint

Octoprint plugin to allow the creation of a print queue that prints, clears the bed and then prints again

cpptrader

High performance components for building Trading Platform such as ultra fast matching engine, order book processor

deeptrading

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

devcartelgateway64

DevCartel MT5 gateway binaries for MetaTrader 5 Platform

ecr-high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

ecr-pattern-recognition-for-forex-trading

Machine Learning and Pattern Recognition for Algorithmic Forex and Stock Trading: Machine learning in any form, including pattern recognition, has of course many uses from voice and facial recognition to medical research. In this case, our question is whether or not we can use pattern recognition to reference previous situations that were similar in pattern. If we can do that, can we then make trades based on what we know happened with those patterns in the past and actually make a profit? To do this, we're going to completely code everything ourselves. If you happen to enjoy this topic, the next step would be to look into GPU acceleration or threading. We're only going to need Matplotlib (for data visualization) and some NumPy (for number crunching), and the rest is up to us. Python is naturally a single-threaded language, meaning each script will only use a single cpu (usually this means it uses a single cpu core, and sometimes even just half or a quarter, or worse, of that core).

ecr-tensorflow-for-stock-prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

exchange-core

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

exchange-gateway-rest

fishnet

gardenautomation

github-slideshow

A robot powered training repository :robot:

hydrocontroller

Hydro controller

ignite

Apache Ignite

ironbook

Fast price-time-quantity LOB in C11

itch

Nasdaq Order Book Reconstructor

jft

Matching engine para simulação da bolsa de valores

kafka-connect-transform-fix

Kafka Connect Transformation for reading FIX messages.