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advanced_feature_engineering_of_raw_data_of_stocks-with_pyspark

Features and labels engineering of raw data of quotes of several stocks.

algorithmictrading

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

blogprojects

bybit-smm

bybit simple market maker

ceemdan-lstm

credit_semaphore

Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling

economic-dashboard

A dashboard for macroeconomic and stock market data built with Python and Dash.

eigenportfolios

In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.

facial-expression-recognition

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

ftx

FTX Sample Code

gdax-bot

HFT signals on GDAX

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

goldman-sachs-quantitative-strategies-research-notes

Goldman Sachs - Quantitative Strategies Research Notes

high-frequency-trading-model-with-ib

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

iktrading

Ilya Kipnis's miscellaneous quantstrat extensions, indicators, and order-sizing functions.

ine_r

Tutorial para descargar datos del Instituto Nacional de Estadística (INE) con R.

jupyter

Jupyter metapackage for installation, docs and chat

lecture-python.notebooks

Notebooks for https://python.quantecon.org

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mastering-python-for-finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

microprediction

If you can measure it, consider it predicted

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mm-toolbox

toolbox of fast mm-related funcs

mth9879-market-microstructure-models

A collection of homeworks of market microstructure models.

openbbterminal

Investment Research for Everyone, Anywhere.

price_direction_forecast