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medium_blog

medium_notebook

Repository containing notebooks of my posts on Medium

metis_project_3_predicting_startup_failure

ml-startup-success

ICAIF 2021 Paper "A Machine Learning Approach to Detect Early Signs of Startup Success"

nfl-valuations

data

nfldata

NFL Data (by Lee Sharpe)

nyse_shortsqueeze_sentiment_analysis

A simple sentiment analysis project utilizing tweepy to mine data from twitter.

official_world_golf_ranking_scraper

Python web-scraping program to obtain data for every tournament played by every athlete currently ranked by the Official World Golf Ranking.

openbbterminal

Investment Research for Everyone, Anywhere.

options-calculator

Option Calculator using Black-Scholes model and Binomial model

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

patchworklib

Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib, seaborn, and plotnine.

pbpython

Code, Notebooks and Examples from Practical Business Python

pdblp

pandas wrapper for Bloomberg Open API

pdfplumber

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

portfolio-construction-and-analysis

Jupyter notebooks on portfolio construction and analysis - EDHEC

portfolio_stock_sentiment_treemap

predict-success-of-startups

Predict-Success-of-Startups

predicting-startup-success

predicting startup succcess with explanation

predicting-stock-trends-using-technical-analysis-and-random-forests

Using a machine learning model, identified long-only trading opportunities, which is able to produce a superior return than the constructed benchmark.Also compared the returns produced from our model to that of the more conventional technical indicators, namely: Bollinger Bands, RSI and MACD.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

public-apis

A collective list of free APIs

py4at

Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.

py4fi2nd

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

pyalgotrade

Python Algorithmic Trading Library

pybbg

Python interface to Bloomberg COM APIs

pyesg

Economic scenario generator for python: simulate stocks, interest rates, and other stochastic processes.

pyflux

Open source time series library for Python

pysec

Parse XBRL filings from the SEC's EDGAR in Python