Pinned Repositories
aiomoex
Asyncio client for MOEX ISS
asx_gym
Open AI Gym Env for Australia Stock Exchange (ASX)
autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
erlyplayer
Erlyvideo player
example-scripts
Example Machine Learning Scripts for Numerai's Tournament
NewsRecommendationSystem
This is a real time news scraping and recommendation system. The system uses a news pipeline to scrape latest news from various of sources such CNN, BBC. To render the news, I built a single-page web application using React. In addition, in order to customize news list for users, I designed and built a training pipeline for news topic modeling using Tensorflow.
patents
Parse, match (within and Compustat), and analyze USPTO patent data
pubmed_parser
:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
sequent's Repositories
sequent/aiomoex
Asyncio client for MOEX ISS
sequent/asx_gym
Open AI Gym Env for Australia Stock Exchange (ASX)
sequent/autoscraper
A Smart, Automatic, Fast and Lightweight Web Scraper for Python
sequent/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
sequent/erlyplayer
Erlyvideo player
sequent/example-scripts
Example Machine Learning Scripts for Numerai's Tournament
sequent/NewsRecommendationSystem
This is a real time news scraping and recommendation system. The system uses a news pipeline to scrape latest news from various of sources such CNN, BBC. To render the news, I built a single-page web application using React. In addition, in order to customize news list for users, I designed and built a training pipeline for news topic modeling using Tensorflow.
sequent/patents
Parse, match (within and Compustat), and analyze USPTO patent data
sequent/pubmed_parser
:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset
sequent/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
sequent/scholar.py
A parser for Google Scholar, written in Python
sequent/Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
sequent/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
sequent/tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
sequent/tradingview-watchlists
Automatically generated watchlists for TradingView
sequent/useful3
sequent/XGBoost_stock_prediction
XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project attempts to predict stock price direction by using the stock's daily data and indicators derived from its daily data as predictors. As such this is a classification problem.