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Name: Denys Smerchanskyi
Type: User
Name: Denys Smerchanskyi
Type: User
On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, General Data Visualiztions, Time-Series Analysis, etc.
A collection of my quantopian learnings, trying to use everything locally and with updated code which works in 2020.
R Time series packages not included in CRAN Task View: Time Series Analysis
This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting with different loss functions in Tensorflow. We have compared 14 regression loss functions performance on 4 different datasets.
Fast and flexible two- and three-point correlation analysis for time series using spectral methods.
Scalable Time Series Data Analytics
onlineBcp: An R Package for Online Change Point Detection using a Bayesian Approach. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000140
GPU-accelerated Factors analysis library and Backtester
Machine Learning for French Stock Market Prediction
Find stocks with Volatility Contraction Pattern (VCP)
Repository for the manuscript: "Network Geometry and Market Instability"
Finance application that provides more than 60 different alternative data to retail investors
STUMPY is a powerful and scalable Python library for modern time series analysis
The Swiss knife for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms.
Apply popular TA tools and charts to candlestick data with NumPy.
BATS and TBATS forecasting methods
Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrations, 3D shapes, spaces of images patches
probabilistic forecasting with Temporal Fusion Transformer
stock
This is the GitHub Repository for the research Topological Tail Dependence: Evidence from Forecasting Realized Volatility
End of day backtesting of Technical trading rules
Extract price and indicator data from TradingView charts to create ML datasets
This notebook will shows the detail steps on how to scrape the industry average from tradingview platform by selenium, pandas, numpy in python, the industry average scraped will then be compared with Genetec and Unisem
A module for getting Stock data from TradingView
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.