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American-Option-Pricing Using Trinomial-Model (Recursion)
"An example SVI calibration recipe", Gatheral & Jacquire (2014), available at https://arxiv.org/abs/1204.0646v4
Avellaneda-Stoikov HFT market making algorithm implementation
Python code for High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov
Source code for the blog post on the evolution of the asset allocation methods
We aim to price a European call option on the SPX and calculate a set of risk measures.
Fast American option pricing using spectral collocation method based on integral form. An independent Crank Nicolson method is included for comparison.
simulation of Heston model by Monte-Carlo method
High Frequency Market Making
Market making algorithmic trading framework used to test reinforcement learning on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "
The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
European Options Pricer for Equity Index, FX, Interest Rate Swaptions and CDS Swaptions
开源的金融投资数据提取工具,专注在各类网站上爬取数据,并通过简单易用的API方式使用
二叉树、CRR、期权定价、美式期权、欧式期权
Wrapper for Davis' Edwards excellent options valuation python code
Python code for a trading strategy based on time value performed in the SSE 50ETF option market.
A bot coded for an algorithmic trading competition using market making, statistical arbitrage, and delta and vega hedging
Options market making using a stochastic control approach
master thesis code
This trading strategy deploy the copula model to define the divergence of two correlated asset. The backtesting system is built on backtrader under Python
quant strategy backtesting from pobo financial
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
The QuantLib C++ library
SABR Implied volatility asymptotics
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.