Quantitative-Trading
Trading framework
Provides implementations and references for applying quantitative methods to trading strategies using reinforcement learning.
💸 Papers and Code Implements for Quantitative-Trading
35 stars
9 watching
10 forks
Language: Jupyter Notebook
last commit: over 6 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
ceruleanacg/personae | A repository of implements and environments for implementing deep reinforcement learning and supervised learning methods in quantitative trading. | 1,365 |
kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
amor71/liualgotrader | A framework for developing and deploying algorithmic trading strategies using machine learning and multiple data feeds. | 786 |
asyncalgotrading/aat | An asynchronous framework for writing algorithmic trading strategies with support for multiple exchanges and backtesting. | 674 |
tradingstrategy-ai/trading-strategy | A Python framework for developing algorithmic trading strategies on decentralized exchanges. | 232 |
letianzj/quantresearch | A collection of notebooks and blogs on quantitative finance and trading strategies, including machine learning, deep reinforcement learning, and backtesting. | 2,113 |
ai4finance-foundation/finrl-trading | Develops an AI-based trading strategy using supervised and deep reinforcement learning techniques to select stocks and allocate assets for investment. | 2,118 |
kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
lsgro/quantcomponents | A collection of reusable Java components for building quantitative finance and algorithmic trading applications | 163 |
edtechre/pybroker | A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,062 |
albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 597 |
thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
51bitquant/51bitquant | A full-stack project for building cryptocurrency trading bots using Python and CCXT framework | 848 |
constverum/quantdom | Framework for testing and evaluating trading strategies using Python | 717 |
rburkholder/trade-frame | A C++17-based library and framework for high-frequency trading applications. | 493 |