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algorithmic_trading_book

2 books and related source codes for algorithmic trading.

autotrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

blog

Build a Jekyll blog in minutes, without touching the command line.

bsr

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

clustering-in-python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

dlr

fidlr (FInancial Data LoadeR) is an RStudio addin designed to simplify the financial data downloading process

factor-model

financial-modeling-prep-api

A brief description on how to use Financial Modeling Prep Api

ibapir

Interactive Brokers api for R

learndatascience

code for Data Science From Scratch book

legitindicators

Collection of indicators that I used in my strategies.

library

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

pyexample

Introductory tutorial for Moonshot demonstrating data collection, universe selection, and backtesting of an end-of-day momentum strategy.

pylectures1

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

pylectures2

Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.

pylectures3

In-depth walkthrough of Pipeline, an API for filtering and performing computations on large universes of securities. The Pipeline API is part of Zipline but can also be used on a standalone basis.

qstats

Portfolio analytics for quants, written in Python

quant-trading

quant trading algos and other things

quantanalysis

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

quantresearch

Quantitative analysis, strategies and backtests

quantscientist

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

resources

https://daya6489.github.io/Data-Science-Resources

rexample

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

rquantfx

rquanttrader

shinytemplate

Examples for R Shiny app + docker + ShinyProxy deployment

shinyuieditor

A GUI for laying out a Shiny application that generates clean and human-readable UI code

stat_learn

Loose collection of Jupyter notebooks, mostly for my blog

worldquant

Code implementation of the Quantigic 101 Formulaic Alphas