Yash Mehta's repositories
quant-workspace
Quant Trading / Analysis: Materials from PyQuant + Experimental / Exploratory Model Development / Backtesting
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
mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
DDW
Application of Multiple Linear Regression models on Tunisia’s food inflation
Quantitative_Toolbox
On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.
sg-tech-list
:scroll: List of notable tech companies in Singapore
OpenBBTerminal
Investment Research for Everyone, Anywhere.
py4at
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
optopsy
A nimble options backtesting library for Python
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
watermark-remover
Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。
ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
QuantitativePrimer
An Interview Primer for Quantitative Finance
algorithm-component-library
A collection of code snippets that can be constructed into larger trading algorithms.