Pinned Repositories
english-mongolian-nmt-dataset-augmentation
Generate initial 1 million neural machine translation warm up dataset from 700M Mongolian text dataset using Google Translate service.
learning-drl
I'm learning a deep reinforcement learning with jax and flax which is numpy on steroids.
Little-Python-Ball-Game
It's python ball game for my educational purpose.
mongolian-text-classification
Cyrillic Mongolian text classification with tensorflow 2, and also some fine-tuning on TugsTugi's Mongolian BERT model and other NLP experiments are included.
shannons-demon
Aka portfolio rebalancing bonus
spaghetti-discovery-workflow
A general workflow to disprove trading strategy through the CPCV and DSR
synthetic-equities
Financial equity performance generation using Monte Carlo simulation and associated metric extraction.
sharavsambuu's Repositories
sharavsambuu/english-mongolian-nmt-dataset-augmentation
Generate initial 1 million neural machine translation warm up dataset from 700M Mongolian text dataset using Google Translate service.
sharavsambuu/adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
sharavsambuu/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
sharavsambuu/AI-Finance-Betting-Size
Advances in Financial Machine Learning 책에 있는 Chapter 10의 betting size 연습문제를 푼 파일입니다.
sharavsambuu/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
sharavsambuu/btc-sentiment
Final Year Project
sharavsambuu/capstone_indicators
sharavsambuu/Enhanced-Event-Driven-Backtester
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.
sharavsambuu/epat-notebooks-csvk
Notebooks from the Quantinsti EPAT program
sharavsambuu/fast_combinatorial_cv
Fast Combinatorial Cross Validation
sharavsambuu/finance_ml
Advances in Financial Machine Learning
sharavsambuu/FinancialVision
FinancialVision
sharavsambuu/JQuants-Forum
sharavsambuu/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
sharavsambuu/meta-labelling-mnist
sharavsambuu/mizar-labs
Python library for building financial machine learning models.
sharavsambuu/mongolian-bert
Pre-trained Mongolian BERT models
sharavsambuu/mongolian-nlp
Useful resources for Mongolian NLP
sharavsambuu/Multi-Horizon-Forecasting-for-Limit-Order-Books
sharavsambuu/pyEntropy-1
Entropy for Python
sharavsambuu/Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
sharavsambuu/rachnog-education
Materials for my lectures and for self-study in machine learning
sharavsambuu/research
Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.
sharavsambuu/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
sharavsambuu/stock-prices-pattern-recognition
sharavsambuu/Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
sharavsambuu/stock_cnn_blog_pub
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
sharavsambuu/task_system_using_fibers
sharavsambuu/Technical_Analysis_Strategies_Cryptocurrency
Different trading strategies using technical analysis. Data: Ethereum/USD 5 minutes bars
sharavsambuu/tseries-patterns
trend / momentum and other patterns in financial timeseries