A collection of homeworks of market microstructure models.

Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets

Annotation builder to use segmentation in Mask_RCNN, even if your annotations are rectangular instead of polygon.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Library for fitting the LPPLS model to data.

NLP papers applicable to financial markets

Scraping bloomberg news articles.

Prim's algorithm for MST using Networkx

Python programs, usually short, of considerable difficulty, to perfect particular skills.

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

trend / momentum and other patterns in financial timeseries

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

A python function to calculate the fractal dimension in 3D.

Higuchi Fractal Dimension (HFD) for 1D(time) series

News, full-text, and article metadata extraction in Python 3. Advanced docs:

Programmatically collect normalized news from (almost) any website.

The git is about Indian Stock market prediction.

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the arti…

Sentiment Analysis of news on stock prices

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment …

Algorithmic Trading using Sentiment Analysis on News Articles

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

Financial Data Extraction from Investing.com with Python

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).