sharavsambuu's repositories
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
credit_semaphore
Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling
Data-Science-Portfolio
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
Deep-Learning-Machine-Learning-Stock
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
GA-efficient-frontier
An evolutionary algorithm (EA) capable of maximizing the sharpe ration for a given universe of 70.000 funds.
KalmanBOT_ICASSP23
DATA-AIDED PAIRS TRADING VIA LEARNED KALMAN WITH BOLLINGER BANDS
Latent-Space-Hawkes_by_IdeasLabUT
Python implementation of the Latent Space Hawkes (LSH) model for continuous-time dynamic networks
Meta_Labeling
Meta labeling is a method of determining the size of the bet.
Pairs-Trading-Soph42
Exploration into pairs trading
pairs_trading_financialnoob
experiments with pair trading
qstrader
QuantStart.com - QSTrader backtesting simulation engine.
StructuralEntropy
Hedge long only portfolio using structural entropy
Trading-Strategy-Performance-Enhancement-with-Meta-Labelling-An-Evaluation-of-Tree-Based-Algorithms
Trading Strategy Performance Enhancement with Meta-Labelling: An Evaluation of Tree-Based Algorithms
ydata-synthetic
Synthetic structured data generators