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md-a-10-k-data

MD&A sections from 10-Ks; 2002-2018

meatpy

Market Empirical Analysis Toolbox for Python

mgtecon634_py

This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford. Scripts were translated into Python.

mixtape

Data and Program files for Causal Inference: The Mixtape

mlinference

mmstruct

R package for market microstructure models and data

msanand.github.io

Personal Tech Blog

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlp-projects

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment

non_answer_perf

Code and data for performance of non-answer function.

notebooks

Notebooks using the Hugging Face libraries 🤗

orderbook_modeling

Example of order book modeling.

orderbook_simulator

A simple, extensible implementation of the limit order book.

phd403

PhD 403: Empirical Asset Pricing

phdthesislyx

A LyX PhD thesis template for Cambridge University Engineering Department

pin-code

python-api

Python package for the Quiver API

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

python-tutorials_timeseries_for_finance

Python modules for time-series analysis and empirical asset pricing.

pyvis-network-graph-streamlit

quarterly-earnings-machine-learning-algo

A Commission-Free Algo Trading Bot By Machine Learning Company SEC Filing Language

replication-of-liquidity-chapter

replicationcrisis

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2021)

research_documents_curation_with_nlp

Applied Finance Project from UCLA Anderson, using natural language processing techniques to classify and summarize quantitative finance research papers

ritch

An R interface to the ITCH Protocol

rl-book

sec_employee_information_extraction

NSS Capstone project to use natural language modeling, classification, and information extraction to get the exact employee count values for companies from SEC filings.

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

shared-with-ben