sharavsambuu

sharavsambuu

Geek Repo

Location:Muren, Khuvsgul, Mongolia

Home Page:https://sharavaa.blogspot.com/

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sharavsambuu's repositories

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.

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Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

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algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

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Deep-Learning-Machine-Learning-Stock

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

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finance_ml

Advances in Financial Machine Learning

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financial-machine-learning

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

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fractional-differentiation-time-series

As described in Advances of Machine Learning by Marcos Prado.

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machine-learning-asset-management

Machine Learning in Asset Management

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Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

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MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

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mongolian-nlp

Useful resources for Mongolian NLP

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neurontrading

NeuronTrading

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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

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quantitative-analysis

All my quant analysis from financial market.

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QuantResearch

Quantitative analysis, strategies and backtests

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shs-concurrency-exps

My views of concurrency primitives

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shs-vulkan-exps

Just learning a Vulkan API with SDL2.

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations

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stop-trading

A starter code to review distribution of a strategy returns and assess Monte Carlo distribution of returns

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Technical_Analysis_and_Feature_Engineering

Feature Engineering and Feature Importance of Machine Learning in Financial Market.

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trading-rules-using-machine-learning

This is my financial trading system using ML (Random forest & LSTM). Most of the methods are based on 'Advances in Financial Machine Learning' by Lopez de Prado.

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volatility-exps

just some volatility related experiments

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Volatility-Modelling-Using-HiddenMarkovModels

Applying Hidden Markov Models to model Gold Intraday Volatility by detecting regime switches from low-vol regimes to high-vol

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volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

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