jytan023

jytan023's Stars

• MiaDor12/Advanced_Feature_Engineering_of_Raw_Data_of_Stocks-with_PySpark

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

  Language:Jupyter Notebook2811

• hjeffreywang/Stock_feature_engineering

  Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine learning to significant features.

  Language:Jupyter Notebook5913

• SparkAbhi/SignalProcessingWithPython

  Signal processing examples in python

  Language:Python7726

• jamesmawm/Mastering-Python-for-Finance-source-codes

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

  Language:Python513276

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k633

• boyboi86/AFML

  All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

  Language:Jupyter Notebook618168

• joelowj/awesome-algorithmic-trading

  A curated list of awesome algorithmic trading frameworks, libraries, software and resources

  836163

• zslucky/algorithmic_trading_book

  2 books and related source codes for algorithmic trading.

  Language:Python424184

• PacktPublishing/Mastering-Python-for-Finance-Second-Edition

  Mastering Python for Finance – Second Edition, published by Packt

  Language:Jupyter Notebook451209

• grananqvist/Awesome-Quant-Machine-Learning-Trading

  Quant/Algorithm trading resources with an emphasis on Machine Learning

  2.7k567

• letianzj/QuantResearch

  Quantitative analysis, strategies and backtests

  Language:Jupyter Notebook2.1k455

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python6k1.2k

• PacktPublishing/Algorithmic-Short-Selling-with-Python-Published-by-Packt

  Algorithmic Short-Selling with Python

  Language:Jupyter Notebook9846

• PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python

  Language:Jupyter Notebook386167

• PacktPublishing/Python-Algorithmic-Trading-Cookbook

  Python Algorithmic Trading Cookbook, published by Packt

  Language:Jupyter Notebook406170

• microsoft/Web-Dev-For-Beginners

  24 Lessons, 12 Weeks, Get Started as a Web Developer

  Language:JavaScript83.7k12.4k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69.9k14.6k

• jsmidt/QuantPy

  A framework for quantitative finance In python.

  Language:Python688107

• vollib/vollib

  Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.

  Language:Python68193

• enthought/pyql

  Cython QuantLib wrappers

  Language:Cython1k196

• OpenBB-finance/OpenBB

  Investment Research for Everyone, Everywhere.

  Language:Python34.1k3.1k

• pmorissette/ffn

  ffn - a financial function library for Python

  Language:Python2k302

• federicomariamassari/financial-engineering

  Applications of Monte Carlo methods to financial engineering projects, in Python.

  Language:Python37156

• federicomariamassari/willowtree

  Robust and flexible Python implementation of the willow tree lattice for derivatives pricing.

  Language:Python24025

• goldmansachs/gs-quant

  Python toolkit for quantitative finance

  Language:Jupyter Notebook7.9k974

• domokane/FinancePy

  A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

  Language:Jupyter Notebook2.2k321

• alpha-miner/Finance-Python

  python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

  Language:Python747129

• ynouri/pysabr

  SABR model Python implementation

  Language:Jupyter Notebook46379

• GriffinAustin/pynance

  Lightweight Python library for assembling and analysing financial data

  Language:Python31743

• bbcho/finoptions-dev

  Language:Jupyter Notebook20920