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Search results for deep learning quantitative finance
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quantitative-finance
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25 search results found
Qlib
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13,295
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Financial Machine Learning
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5,277
A curated list of practical financial machine learning tools and applications.
Qbot
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4,799
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Awesome Ai In Finance
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2,537
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Quantresearch
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1,410
Quantitative analysis, strategies and backtests
Bulbea
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1,203
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
Trading Momentum Transformer
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341
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
Time Series Machine Learning
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220
Machine learning models for time series analysis
Darwinexlabs
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192
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Notebooks
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101
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Quant Notes
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101
Quantitative Interview Preparation Guide, updated version here ==>
Deep Quant
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98
Deep learning for forecasting company fundamental data
Rl
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94
Deep Reinforcement Learning For Trading
Ufund Miniprogram
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32
Qbot 微信小程序: 自选基金/股票助手、策略选股、股票盯盘、量化投研智库
Deep Hedging
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25
Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Appendices
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25
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production
Torchqtm
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24
TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.
Algo Trading
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21
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
Facvae
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20
FactorVAE (a deep learning mode to predict stock cross-sectional returns)
Ai Investibot
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18
Innovative, high quality stock bot
Forecast Of Time Series With Stock Data
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16
Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
Econ_136
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13
Quant Trading for Financial Economics
Bearalpha
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13
Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research
Chameleonquant
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11
chameleonQuant was born as an open-source Java framework to help enthusiast quants to implement system trading strategies and dynamic portfolio trading systems using advanced optimization techniques, machine learning, and deep learning techniques.
Workshop
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8
Members' work in NCLab.
Long Capital
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8
Quant Trading with Microsoft Qlib (https://github.com/microsoft/qlib)
2018_summer_program
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6
This is the collection of research projects of Likelihood Tech 2018 Summer Program.
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1-25 of 25 search results
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