dominic2017's starred repositories

Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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hercules

Gaining advanced insights from Git repository history.

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ffn

ffn - a financial function library for Python

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Stock_Analysis_For_Quant

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

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Reddit-Stock-Trends

Fetch currently trending stocks on Reddit

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pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

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wallstreet

Real time stock and option data.

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optopsy

A nimble options backtesting library for Python

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awesome-CRISPR

List of software/websites/databases/other stuff for genome engineering

Notebooks

Machine learning notebooks in different subjects optimized to run in google collaboratory

Language:Jupyter NotebookLicense:MITStargazers:371Issues:24Issues:1

data-matching-software

A list of free data matching and record linkage software.

Machine-Learning-for-Finance

Machine Learning for Finance, published by Packt

Language:Jupyter NotebookLicense:MITStargazers:346Issues:27Issues:5

tomviz

Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data

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pyOptionPricing

Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging

pdblp

pandas wrapper for Bloomberg Open API

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sec-13f-filings

A nicer way to view SEC 13F filings data

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dash-oil-and-gas-demo

Dash Demo App - New York Oil and Gas

world-js

A brief history of humankind in Javascript simulation game

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qtips

Source files for "Q Tips: Fast, Scalable and Maintainable Kdb+"

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funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

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Xpring-SDK

Xpring SDK is deprecated. See https://xrpl.org instead

Python_Portfolio__VaR_Tool

Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)

fund-protocol

A blockchain protocol for tokenized hedge funds

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Semantic-Textual-Similarity

Natural Language Processing using NLTK and Spacy

Machine_learning_In_Finance

Built a trading algorithm in Python for the Tesla stocks returning in 39% higher returns than a simple buy and hold strategy, over a period of 2016-2018 . Designed random forest algorithm that combines CAPM, FAMA (French three factor model), Multi-Factor Linear Regression, Principal Component Analysis and Time series analysis to forecast stock prices . Generated trading signals using strategies such as Bollinger bands, Double crossover with evaluating risk and Sharpe ratio

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Hedge-Fund-replication

This project tries to replicate hedge funds returns.

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luminus-downloader

Downloads files and folders from LumiNUS

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-Developed-Models-for-Hedge-Fund-with-Machine-Learning-

Deployed machine learning models (Logistic Regression, Random Forest, Gradient Boost, XGBoost, SVM, Neural Network) to manages an institutional grade long/short global equity strategy for the investors in hedge fund

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NWW

4D GIS system for renderering floods simulation time-series data on top an urban area

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ludwig-models

Models and examples built with Uber's Ludwig

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