jimmyhzuk Goto Github PK

a-pure-factor-test-framework

This is a pure factor performance test framework, without the influence of other factors

algorithm-component-library

A collection of code snippets that can be constructed into larger trading algorithms.

all-weather-for-noobs

Semi-automated investing strategy (risk parity)

alpha-backtesting-framework

alpha101

alphalens

Performance analysis of predictive (alpha) stock factors

animated_stock_preview

Using ggplot2, tidyquant, gganimate, gifski, and magick to animate the price and volume of a security

anomalydetection

Anomaly Detection with R

ant-design-pro

👨🏻‍💻👩🏻‍💻 An out-of-box UI solution for enterprise applications

arma-garch-copula

automatic_factors

awesome-quant

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

awesome-r

A curated list of awesome R packages, frameworks and software.

backtrader

Python Backtesting library for trading strategies

bearmarkets

Exploring bear markets of the S&P 500

bokeh

Interactive Data Visualization in the browser, from Python

breakoutdetection

Breakout Detection via Robust E-Statistics

bt

bt - flexible backtesting for Python

calc-money-interest

对比货币基金的收益率，数据来源 http://www.ourku.com/index_hbjj.html

changepoint

A place for the development version of the changepoint package on CRAN.

chartify

Python library that makes it easy for data scientists to create charts.

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

clairvoyant

Software designed to identify and monitor social/historical cues for short term stock movement

cta-backtesting-framework

dash

Analytical Web Apps for Python & R. No JavaScript Required.

dash-sample-apps

Apps hosted in the Dash Gallery

dash_trich_components

trich.ai open source components library for Dash Plotly. Contribute!

dashtest

data-analysis

Data Analysis Using Python

data-processing-and-visualization

This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.