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chan.py

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

dface

This project from: https://github.com/kuaikuaikim/DFace

finrl-meta

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

finrl-tutorials

Tutorials. Please star.

machine-learning

How to detection object and recongnition

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

multitask-stockformer

A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network

qlib

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.

qstock

qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

stockrl

在A股(股票)市场上训练强化学习交易智能体

tfb

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

trademaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

transformer-time-series-forecasting

visualizer

assistant tools for attention visualization in deep learning