sharavsambuu Goto Github PK

capstone_indicators

cfa_qit

QIT(Quantitative Investing & Trading) Working Group of the CFA Society Korea

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

conditional-sig-wasserstein-gans

cpcv

Code for Combinatorial Purged Cross Validation

create-dollar-bar-from-aapl-tick-data_by_masaichig0

Create the dataset that most affective way to predict the stock price based on the book (Advanced in Financial ML). I have gotten the idea from the book and use some of the code from the book to create the dataset with AAPL tick data.

credit_semaphore

Asynchronous Semaphore Based on Credits for Efficient Credit-Based API Throttling

crypto-notebooks

Jupyter notebooks for analyzing crypto data

crypto_data_fetcher

crypto_misc_jupyter

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.

decisiveml

Machine learning end-to-end research and trade execution

deep-learning-machine-learning-stock

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.

deep-portfolio-management

Source code for the blog post on the evolution of the asset allocation methods

deep-trading

Algorithmic trading with deep learning experiments

eigenportfolios

In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.

english-mongolian-nmt-dataset-augmentation

Generate initial 1 million neural machine translation warm up dataset from 700M Mongolian text dataset using Google Translate service.

epat-notebooks-csvk

Notebooks from the Quantinsti EPAT program

esg_risk_parity_by_sjufan84

Constructing a portfolio of crypto and stock assets utlizing ESG scores as well as machine learning models to predict buy / sell signals after establishing asset weights using hierarchical risk parity models.

factors_by_0xcutesocks

issa useless copy pasta, use them at ur own risk

fast_combinatorial_cv

Fast Combinatorial Cross Validation

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fin-ml_by_tatsath

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

finance-scripts

finance_ml

Advances in Financial Machine Learning

financeml

Finance ML Implementation

financeml2

financial-machine-learning

A curated list of practical financial machine learning tools and applications.

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

financialvision

FinancialVision