DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
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Publication: Classification-based Financial Markets Prediction using Deep Neural Networks. Published Mar 29, 2016.
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crypto currency library for trading & market making bots, account management, and data analysis
Real-time and historical US electricity grid, load and pricing datasets with an API.
Publication: Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks. Published Mar 11, 2019.
Publication: Deep Hedging. Published Feb 8, 2018.
Using deep learning to maximize the benefits of a series of risks in the securities market was a very interesting and widely concerned problem.…
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Find peer-reviewed, open-access journals and research from Science Publishing Corporation.
Publication: Deep Learning in Asset Pricing. Published Mar 11, 2019.
Publication: Enhancing Time Series Momentum Strategies Using Deep Neural Networks. Published Apr 9, 2019.
Publication: Cooperative Multi-Agent Reinforcement Learning Framework for Scalping Trading. Published Mar 31, 2019.
Developing accurate financial analysis tools can be useful both for speculative trading, as well as for analyzing the behavior of markets and promptly respondin
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Publication: Practical Deep Reinforcement Learning Approach for Stock Trading. Published Nov 19, 2018.
Publication: Financial Trading as a Game: A Deep Reinforcement Learning Approach. Published Jul 8, 2018.
This paper proposes automating swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to…
Publication: A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. Published Jun 30, 2017.
Artificially intelligent tools for naturally creative humans.
Publication: Deep Stock Predictions. Published Jun 8, 2020.
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Publication: Stock Market Prediction Based on Generative Adversarial Network. Published 2019.
Publication: Tensor Representation in High-Frequency Financial Data for Price Change Prediction. Published Sep 5, 2017.
High frequency trading (HFT) in micro or milliseconds has recently drawn attention of financial researches and engineers. In nowadays algorithmic trading and HFT account…
Publication: VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading. Published Sep 5, 2018.
In this work, a high-frequency trading strategy using Deep Neural Networks (DNNs) is presented. The input information consists of: (i). Current time (hour and…
In recent years, with the breakthrough of big data and deep learning technology in various fields, many scholars have begun to study the stock…
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Publication: Stock Prices Prediction using Deep Learning Models. Published Sep 25, 2019.
We develop a large-scale deep learning model to predict price movements from limit order book (LOB) data of cash equities. The architecture utilizes convolution
Publication: Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019. Published Nov 29, 2019.
Publication: Evaluating the Performance of Machine Learning Algorithms in Financial Market Forecasting: A Comprehensive Survey. Published Jun 18, 2019.
Publication: AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. Published Jul 24, 2019.
Publication: Application of Deep Q-Network in Portfolio Management. Published Mar 13, 2020.
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Publication: G-Learner and GIRL: Goal Based Wealth Management with Reinforcement Learning. Published Feb 25, 2020.
