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Name: CAPITAL8
Type: User
Name: CAPITAL8
Type: User
Deep Learning - Neural network (RNN, LSTM & GRU)
Trading algorithmic strategies and tools
antminerS9i
🔬 A curated list of awesome machine learning strategies & tools in financial market.
The VESC motor control firmware
Powerful .NET library for benchmarking
High voltage high power ESC using VESC logic
ASIC and FPGA miner in c for bitcoin
A high performance, low latency, reactive processing framework
Replicate your Key Value Store across your network, with consistency, persistance and performance.
Micro second messaging that stores everything to disk
A Java Serialisation Library that supports multiple formats
High performance and low latency Exchange Collections written in Java
Confluent's Apache Kafka .NET client
Octoprint plugin to allow the creation of a print queue that prints, clears the bed and then prints again
High performance components for building Trading Platform such as ultra fast matching engine, order book processor
Deep Neural Network Trading collection of Tensorflow Jupyter notebooks
DevCartel MT5 gateway binaries for MetaTrader 5 Platform
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
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).
Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
A robot powered training repository :robot:
Hydro controller
Apache Ignite
Fast price-time-quantity LOB in C11
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.