azrulfy Goto Github PK
Type: User
Type: User
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.
The primary purpose of this project is to create a news aggregator that gathers headlines and summaries announcements, news, and trending information about artificial intelligence and other cool technology stuff. After it has collected the articles and announcements, I would like it to generate a summary giving the highlights of that week's news. Ideally, after it has collected and summarized the information, I would like to generate a script based on the summaries and hopefully do a weekly online show discussing the happenings and other current events. Additionally, this is an exercise in for me to learn Cookiecutter, Git, ReadTheDocs, and Travis.CI. I have primarily worked with TFS, SVN, and Jenkins for CI. This will be a big learning experience for me. I'm ready to bang my head against my desk and learn everything I can.
Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.
Trading system with Artificial Neural Network. Built with Matlab for MetaTrader 5
code for paper "Automatic Trading in Futures Market via Convolutional Neural Network and Deep Reinforcement Learning"
A curated list of awesome Machine Learning frameworks, libraries and software.
Python Backtesting library for trading strategies
:money_with_wings: A example of bot using Backtrader to trade Bitcoins in Binance Exchange.
A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.
Easy to use mql4 compiler
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Python related videos and metadata powering =>
Exposes MT4 data to web.
Keras code and weights files for popular deep learning models.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A Tutorial on Deep Reinforcement Learning in PyTorch
Projects related to deep learning area
Tensorflow serving client implementation for trading.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.
EA31337 Libre - multi-strategy trading robot
Crypto Exchange, FX CFD Margin Trading Platform, Blockchain Development
Official github repository for Fast Artificial Neural Network Library (FANN)
Nonlinear autoregressive neural network training scripts for MATLAB also generating predictions in Metatrader in realtime.
A machine learning program that is able to recognize patterns inside Forex or stock data
Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.
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.