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Name: Meet kakadiya
Type: User
Bio: Quantitative Researcher/ Developer/ Trader
Location: Pune
Name: Meet kakadiya
Type: User
Bio: Quantitative Researcher/ Developer/ Trader
Location: Pune
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
bybit simple market maker
Financial Mathematics, Computational Finance, Derivative pricing, etc
Collection of notebooks about quantitative finance, with interactive python code.
High frequency trading bot for crypto currencies
Hands-On Machine Learning for Algorithmic Trading, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
Self-hosted crypto trading bot (automated high frequency market making) written in C++
screenshots leetcode editorials and problems
Automatically sync your leetcode solutions to your github account - top 5 trending GitHub repository
Mastering Numerical Computing with NumPy, published by Packt
High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques
This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.
Machine Learning Tutorial in IPython Notebooks
A project of building and running a trading system according to service oriented architecture standard.
This repository will have utility functions used for Options trading / options quantitative analysis
Pharmacy mangement software for ubuntu operating system using tkinter toolkit based on python.
Jupyter Notebooks and code for the book Python for Algorithmic Trading (O'Reilly) by Yves Hilpisch.
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
The Python Library For QtsApp which displays the option chain in near real-time. This program retrieves this data from the QtsApp site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain along with Implied Volatatlity (IV), Open Interest (OI), Delta, Theta, Vega, G
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
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.