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<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드
algorithmic trading for quantitative strategies
<알파제로를 분석하며 배우는 인공지능> 리포지토리
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Deep Reinforcement Learning driven trading bot
Code and other material for the book "Deep Learning and the Game of Go"
A curated list of practical financial machine learning (FinML) tools and applications in Python.
A (very amateur) foreign exchange trading bot utilizing CNN + DQN.
Hands-On Reinforcement Learning with Python, published by Packt
just test
Lstm-cnn-charting
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
Collection of reinforcement learning algorithms
파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
quantylab 의 rltrader_Test modification 용
Predicting Trend of a Stock using Deep Learning and Time Series Analysis
This project is using technical indicator and CNN to predict the individual stock trending.
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
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.
Predict the direction of stock prices with visual representation of charts and CNNs
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Candle stick chart CCN
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.