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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Curated list of noteworthy TradingView Strategies, Indicators and Alert Scripts for Trading Bots (PineScript)
Machine Learning Methods for EURUSD prediction
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Scraping options data from CBOE website and make simple analysis
A header-only C++ library for cryptocurrency market data streaming and order execution management. Bindings for other languages such as Python are provided.
Source code from the youtube video
Deep learning modelling of orderbooks
HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data Historical FX Prices (up to date).
Free, open source forex trading bot integrated with Oanda and Telegram, with the possibility to implement machine learning and reinforcement learning strategies, besides classical ones.
The implementation of an FX Volatility Trading Model Using ML
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A MT5 trading agent integrated with Machine Learning script in python.
Geodata hsrw
MetaTrader 4 Bot written in Python (client) and MQL (server)
Open Trading Metatrader 4 Python Integration
Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
Reinforcement Learning in FX Trading
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
This tool should help discover different patterns based on similarity measures in historical (financial) data
WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
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.