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Name: William Wong
Type: User
Bio: Use ML to forecast prices Built ensemble model on various supervised training algos Built RL model based on DQN and A3C currently trying CNN-LSTM model
Name: William Wong
Type: User
Bio: Use ML to forecast prices Built ensemble model on various supervised training algos Built RL model based on DQN and A3C currently trying CNN-LSTM model
Lectures of the Book "Advances in Financial Machine Learning" from Marcos Lopez de Prado
In this repository we test AutoML approaches for time-series forecasting
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
(公开新闻预测A股行业板块动向 亚军源码)This is my first open Source for the competition Block Predict Based on News(https://www.kesci.com/home/competition/5cac39ea67205f002bdbf243) ,and fortunately which ranked the 2nd in the final round.Thanks to Kesci and Competetion Organizer .By the way ,I open my source code to help more for new guys to achieve more honor or make bigger progresses.All in one,Just Carry On.
Reusable CNN and RNN model doing time series binary classification
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
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.
Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant
Demand forcasting using time series analysis and safety stock optimization to provide desired service level
Research in investment finance with Python Notebooks
In this project, we compared the impact of popular ML time series models (trees, prophet, LSTM, SVM) in stock price prediction and trend signal classification;
中美汇率预测作业
Predict first day performance of Hong Kong IPO stocks: A pipeline example of machine learning projects
Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)
Practical Deep Learning resources for Time series analysis and forecasting
通过Featuretools自动特征工程预测贷款偿还
A repository of customer revisit prediction research.
Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181.pdf
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
「A股指数预测」深度学习量化应用
Use deep learning, genetic programming and other methods to predict stock and market movements
Time series classification and clustering code written in Python.
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
This is my financial trading system using ML (Random forest & LSTM). Most of the methods are based on 'Advances in Financial Machine Learning' by Lopez de Prado.
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.