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High Frequency Trading
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A header-only C++ library for interacting with crypto exchanges. Binding for Python is provided. A spot market making application is also provided as an end-to-end solution for liquidity providers.
AI and data-driven quantitative portfolio management for risk and performance analytics 投资组合管理
Example Order Book Imbalance Algorithm
Study resources for quantitative finance
Collection of notebooks about quantitative finance, with interactive python code.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.
Learn Algorithmic Trading, Published by Packt
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Portfolio Theory, Options Theory, & Quant Finance
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Official pool of Algorithmic Trading Strategies powered by the AlgoBulls Platform
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
An environment to high-frequency trading agents under reinforcement learning
List of companies in the S&P 500 together with associated financials
The project aims to profile stocks with similar weekly percentage returns using K-Means Clustering. The project calculates realized volatility for each stock and predicts realized volatility for each stock using classical volatility models and machine learning models and comparing their performance. This is a capstone project for CIVE 7100 Time Series and Geospatial Data Sciences.
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
Price Action Trading APIs, Algorithmic approach, Dealing with securities. Get APIs to detect candlestick patterns, identify trends, support resistance, and price breakout.
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.