lsy617004926

10-k-Filing--Sentiment-analysis-NLP-ML

NLP-10 k report Sentiment Analysis

448Project

High Frequency Trading

500lines

500 Lines or Less

Accounting-Factors

This repo contains works related to fundamental factors

AdvancedML

Reading list for the Advanced Machine Learning Course

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

github-cheat-sheet

A list of cool features of Git and GitHub.

lsy617004926.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

QuantResearch

Quantitative analysis, strategies and backtests

lsy617004926/github-cheat-sheet

A list of cool features of Git and GitHub.

lsy617004926/lsy617004926.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lsy617004926/500lines

500 Lines or Less

lsy617004926/analyzingalpha

lsy617004926/asset-pricing-python-codes

lsy617004926/awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

lsy617004926/AXOrderBook

A股订单簿工具，使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等，包括python模型和FPGA HLS实现。

lsy617004926/Bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

lsy617004926/binance-public-data

Details on how to get Binance public data

lsy617004926/c-binance-future-quant

低成本，高效率，简单实现的币安合约量化系统架构

lsy617004926/Data-Driven-Finance-II-2023-722-binder

lsy617004926/deap

Distributed Evolutionary Algorithms in Python

lsy617004926/ECON-690-HighFrequencyEconometrics

Code and documents from Econ 690 at Duke

lsy617004926/featuretools

An open source python library for automated feature engineering

lsy617004926/finhack

FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。

lsy617004926/FinRL-Meta

FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning.

lsy617004926/hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

lsy617004926/leetcode

Python & JAVA Solutions for Leetcode

lsy617004926/LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

lsy617004926/lightning

The most intuitive, flexible, way to build PyTorch models and lightning apps that glue together everything around the models, without the pain of infrastructure, cost management, scaling and everything else.

lsy617004926/market-making-backtest

algo trading backtesting on BitMEX

lsy617004926/pyalgotrade

Python Algorithmic Trading Library

lsy617004926/python-demo

python学习demo

lsy617004926/PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

lsy617004926/Statistical-Learning-Method_Code

手写实现李航《统计学习方法》书中全部算法

lsy617004926/ta

Technical Analysis Library using Pandas and Numpy

lsy617004926/ta_cn

**版技术指标

lsy617004926/tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch

lsy617004926/TheNextQuant

lsy617004926/wtpy

wtpy是基于wondertrader为底层的针对python的子框架