514 Open source projects that are alternatives of or similar to Pandas Ml Quant

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

Python driver for MarketStore

Vectorized backtester and trading engine for QuantRocket

Technical Indicators implemented in Python using Pandas

Visualize a pandas dataframe in a few clicks

飞翔的小鸟：是一个飞翔的小鸟通过障碍物得分的小游戏和熊猫(Panda)：是一款以熊猫为主题的游戏,你将会化身行动敏捷神速的熊猫

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

Alpine Container for Machine Learning

Play around with Yelp dataset in Python (in progress and very messy repo)

Statistical package in Python based on Pandas

Using python and scikit-learn to make stock predictions

🔬 A curated list of awesome machine learning strategies & tools in financial market.

Python API for Intelligent Visual Data Discovery

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

Modin: Speed up your Pandas workflows by changing a single line of code

📊 python package for performing deduplication using flexible text matching and cleaning in pandas dataframe

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

A collection of notebooks of my Machine Learning class written in python 3

Intel® Scalable Dataframe Compiler for Pandas*

Create HTML profiling reports from pandas DataFrame objects

Python library for using dplyr like syntax with pandas and SQL

Read data from, write data to, and modify the formatting of Google Sheets

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

DABOT: Disaster Attention Bot

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Common financial technical indicators implemented in Pandas.

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Performance tear sheets and backtest analysis for Moonshot

basic pandas tutorials

AsyncIO serving for data science models

A small Python library for validating data with pandas

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

Practice your pandas skills!

Association Rule Mining from Spatial Data for Crime Analysis

Notebooks based on financial machine learning.

Determine optimal rebalancing of a passive stock portfolio.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Enhance your feature engineering workflow with Kodiak

An ongoing list of pandas quirks

Python 量化投资及 Github 管理学习笔记

Clean APIs for data cleaning. Python implementation of R package Janitor

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

bamboolib - a GUI for pandas DataFrames

Analysis of the characteristics of different countries

Open source analytics and market risk library from OpenGamma

📖 [译] 利用 Python 进行数据分析 · 第 2 版

Easy pipelines for pandas DataFrames.

Open Machine Learning Course

Python SDK for IEX Cloud

Timeseries database

Convert CSV files into a SQLite database

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

brief introduction to Python for machine learning

Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.

A股自动选股程序，实现了海龟交易法则、缠中说禅牛市买点，以及其他若干种技术形态

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Introduction to pandas Treehouse course