Name: JKzhang
Type: User
Company: Huaxin Company
Bio: Hello everyone, my name is Hongliang Zhang and I’m a student who loves programming. I’m particularly interested in python.
Location: 3226, xuhu street, hangzhou, zhejiang, china
JKzhang's Projects
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
alpha101, alpha191, alphalens, backtrader, 量化研究
Python Backtesting library for trading strategies
btplotting provides plotting for backtests, optimization results and live data from backtrader.
chatgpt web, midjourney, gpts,tts, whisper,suno-v3 一套ui全搞定;同时支持 Web / PWA / Linux / Win / MacOS 平台
Implementation of a Double Bottom trading strategy using python Backtrader module
[WWW'2024] "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model"
Evolutionary algorithm toolbox and framework with high performance for Python
对GPLearn完成了三维改造,并且增加了IC,IR,RankIC等指标,增加了样本内样本外的数据保存,增加了基于IC追踪所有generation中符合要求的因子并保存的功能。
Mining technical factors based on symbolic regression via genetic algorithm
Python implementation of rigorous coupled wave analysis, autograd supported for optimization purpose
Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data
🦜🔗 Build context-aware reasoning applications
🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision/TTS) and plugin system. One-click FREE deployment of your private ChatGPT chat application.
🧊 崩坏:星穹铁道 自动日常|每日实训|清体力|锄大地|模拟宇宙|忘却之庭|图形界面|消息推送|循环运行
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Local data from tushare,将Tushare的数据同步保存到本地,同时支持Tushare接口查询本地数据,且支持qlib直接使用数据