DUCKQUANT / THE QUANT & AI DIRECTORY
14,444 resources, ranked by in-directory PageRank
Showing 2,773–2,808 of 14,444 resources
Deep Learning and Big Data analytics are two focal points of data science. Deep Learning models have achieved remarkable results in speech recognition and
Publication: Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures. Published Aug 9, 2015.
India's leading AI and data science media platform — in-depth coverage of artificial intelligence, machine learning, research and tech business.
Publication: AAMDRL: Augmented Asset Management with Deep Reinforcement Learning. Published Sep 30, 2020.
A reinforcement learning model based on reward correction for quantitative stock selection, Chen, Haibo, Zhang, Chenyu, Li, Yunke
This research applies a deep reinforcement learning technique, Deep Q-network (DQN), to a stock market pairs trading strategy for profit. There is a need…
When applying artificial intelligence technology to quantitative trading, high noise and unpredictability of market environment are the first practical problems
Explore this resource at its source website for documentation and current information.
Publication: An Application of Deep Reinforcement Learning to Algorithmic Trading. Published Apr 7, 2020.
Publication: Capturing Financial markets to apply Deep Reinforcement Learning. Published Jul 9, 2019.
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
Content for Udacity's AI in Trading NanoDegree.
Implementing a Generative Adversarial Network on the Stock Market
Deep Trading using Convolutional Neural Network
Explore this resource at its source website for documentation and current information.
This post brings together cryptos and deep learning in a desperate attempt for Reddit popularity.
An (unofficial) implementation of the post "Trading Bitcoin with Reinforcement Learning".
AI-based trading agent project
Publication: Deep Hedging: Learning to Simulate Equity Option Markets. Published Nov 5, 2019.
Explore this resource at its source website for documentation and current information.
This Meetup group is concerned with data-driven and AI-first finance in general and algorithmic trading in particular. Its events cover the latest developments in…
Alexa, Siri, Cortana, Google Assistant - Vision: Amazon Rekognition, Google Cloud Vision - Natural Language: IBM Watson, Microsoft LUIS - Recommendation: Amazon Personalize -…
A searchable database of content from GTCs and various other events.
Publication: Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. Published Jan 26, 2020.
Etsin enables you to find research datasets from all fields of science.
Research, backtest and live trade multi-asset quantitative strategies on the world's leading open-source algorithmic trading platform, alongside 552,100 quants.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
CSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options)
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth
Learning to trade under the reinforcement learning framework
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt…
