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Name: Sukrit Wongariyakavee
Type: User
Name: Sukrit Wongariyakavee
Type: User
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Example of artificial neural network on simple estimation application
Quantitative trading algorithms with Python and Quantopian.
Backtesting several trading strategy and rank them according their profit return.
Official Documentation for the Binance APIs and Streams
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
Cpp
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex (www.darwinex.com)
Deep Learning Specialization by Andrew Ng on Coursera.
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
Implementation of course Convolutional Neural Networks created by deeplearning.ai on Coursera
European, digital options using Monte Carlo (Bachelier and geometric BM)
Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)
Applications of Monte Carlo methods to financial engineering projects, in Python.
Financial Sentiment Analysis with BERT
As described in Advances of Machine Learning by Marcos Prado
Expert advisors, scripts, indicators and code libraries for Metatrader.
My personnal trading tool, including indicators and robots (execution and stats)
Communication layer between MetaTrader 4 and your project.
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
A Python Pandas implementation of technical analysis indicators
We have made you a wrapper you can't refuse
QuantStart.com - Advanced Trading Infrastructure
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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.