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plotly-plots

IPython notebooks for Plotly plots

pydata2014-berlin

Networks meet Finance in Python - July 27 2014

pyqstrat

A fast, extensible, transparent python library for backtesting quantitative strategies.

pyqstrat_example_strategies

For users of pyqstrat to submit example strategies for feedback and discussion in the pyqstrat groups.io group

python-geospatial

A collection of Python packages for geospatial analysis with binder-ready notebook examples

quantecon-notebooks-python

A Repository of Notebooks for the Python Lecture Site

quantecon.jl

Julia implementation of QuantEcon routines

quantlibpython

Example Python scripts for interest rate modelling and QuantLib usage

remark

Replications and Explorations Made using the ARK

resume

An elegant \LaTeX\ résumé template

shiny-examples

statespaceroutines.jl

Package implementing common state-space routines.

stock-price-predictions

We compiled the analyst reports from Morningstar for 15 largest companies in retail and technology sector and extracted the specific text. Then extracteed sentiments using VADER general sentiment lexicon and through Loughran and MCdonald financial sentiment lexicon. S&P Capital IQ and Yahoo Finance was also our data source. We applied statistical modeling, both linear and logisitc regressions to predict the percentage change in the stock price from day of publication of report to 3 time periods and our model showed some sigificant results with over 95% accuracy and validated our hypothesis.

studyfiles

一些经典且高质量的电子书分享

testing-and-tuning-market-trading-systems

Source Code for 'Testing and Tuning Market Trading Systems' by Timothy Masters

thuthesis

LaTeX Thesis Template for Tsinghua University

tsa

The Thalesians' Time Series Analysis (TSA) library

vnpy-zhx

基于Python的开源量化交易平台开发框架

vnpy_deribit

vn.py框架的Deribit交易接口

vnpy_webtrader

VeighNa框架的Web端管理服务器

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