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Realtime enhanced learning in automata machines
List of awesome resources for machine learning-based algorithmic trading
Backtested trading strategy based on modelling stock returns based on Auto Regressive Integrated Moving Average model
A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.
Simple trading bot which use ChatGPT algorithm trading.
▱ spatial canvas for data exploration
CUDAfy .NET allows easy development of high performance GPGPU applications completely from the .NET. It's developed in C#.
This repository contains the projects which have modelled various situations. The code can be modified depending on the use cases of your need.
Reverse Engineering Tools (deobf, decompiler etc..)
An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine
The Frida-Jit-unPacker aims at helping researchers and analysts understand the behavior of packed malicious .NET samples.
A tool which bypasses AMSI (AntiMalware Scan Interface) and PowerShell CLM (Constrained Language Mode) and gives you a FullLanguage PowerShell reverse shell. Feel free to modiy and DM if you find some bugs :)
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
A fast, interactive, graphical-user-interface oriented software suite for predictive modeling, multivariate time series analysis, real-time signal extraction, Bayesian financial econometrics, and much more.
A pure JavaFX app for building, implementing, analyzing, testing, and exporting a real-time signal extraction pipeline for large multivariate time series
Optimal control of risk aversion in Avellaneda Stoikov high frequency market making model with Soft Actor Critic reinforcement learning
Fully automated trading system, strategy based on Kalman filter
Some python examples for Machine Learning
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A JAVA package for real-time signal extraction in large multivariate time series
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
A simple python implementation of permutation entropy.
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Open Source Trading Strategies & End-to-End solution connecting Metatrader4 & Metatrader5 💹 with Python with a simple drag and drop EA. Fully tested bug free & efficient solution for live & paper trading⭐ Full Documentation ready. Lightweight, efficient and stable implementation 🔥
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time serial analysis.
Visualisation for auction market theory with live charts
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.