NingDin

NingDin's Stars

• dxcv/hello-world-1

  95

• phamanhtu17295/Quantitative-Finance

  52

• ctgk/PRML

  PRML algorithms implemented in Python

  Language:Jupyter Notebook11.5k3.3k

• tradingeconomics/tradingeconomics

  TRADING ECONOMICS - API Code Examples

  Language:HTML801518

• Barca0412/Introduction-to-Quantitative-Finance

  量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）

  Language:Python33030

• profsarang/ThinkingDataScience

  Thinking Data Science - A Data Science Practitioner's Guidebook

  Language:Jupyter Notebook54

• Eurus-Holmes/Statistics-Base

  Code for the book: "Statistical Learning Methods, by Hang Li".

  Language:Jupyter Notebook92

• intrinio/python-sdk

  The Official Intrinio API Python SDK

  Language:Python6923

• jo-cho/Technical_Analysis_and_Feature_Engineering

  Feature Engineering and Feature Importance in Machine Learning for Financial Markets

  Language:Jupyter Notebook12537

• romanmichaelpaolucci/Algorithmic_Portfolio_Hedging

  Algorithmic multi-greek hedges using Python

  Language:Python187

• goldmansachs/gs-quant

  Python toolkit for quantitative finance

  Language:Jupyter Notebook7.9k977

• Farmhouse121/Adventures-in-Financial-Data-Science

  Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.

  Language:Jupyter Notebook6116

• yash42828/Data-Science--All-Cheat-Sheet

  34577

• ml874/Data-Science-Cheatsheet

  Language:TeX2.5k612

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original

  Machine Learning for Algorithmic Trading, Second Edition - published by Packt

  Language:Jupyter Notebook1.3k491

• quant-science/sunday-quant-scientist

  A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

  Language:HTML879168

• rougier/scientific-visualization-book

  An open access book on scientific visualization using python and matplotlib

  Language:Python10.7k994

• AsyncAlgoTrading/aat

  Asynchronous, event-driven algorithmic trading in Python and C++

  Language:C++679135

• ehmatthes/pcc

  Resources for Python Crash Course, from No Starch Press.

  Language:Python3k1.8k

• SergeyPirogov/webdriver_manager

  Language:Python2.1k461

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript12.1k2.6k

• QuantNi/Quant-Report

  12945

• darwinex/darwin-api-tutorials

  Tutorial videos, posts, and source code in Python & R to assist algorithmic traders and DARWIN investors in getting up and running with the DARWIN API.

  Language:Python2526

• fmzquant/strategies

  quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)

  4.2k1.4k

• akurgat/automating-technical-analysis

  Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.

  Language:Python27279

• helske/seqHMM

  Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

  Language:R9630

• pymc-devs/pymc-resources

  PyMC educational resources

  Language:Jupyter Notebook2k745

• blankly-finance/blankly

  🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

  Language:Python2.2k270

• Apress/explainable-ai-recipes

  Source Code for 'Explainable AI Recipes' by Pradeepta Mishra

  Language:Jupyter Notebook65

• SunshowerC/fund-strategy

  基金投资策略分析，基金回测工具

  Language:TypeScript767172