vishalbelsare Goto Github PK
Name: Vishal Belsare
Type: User
Name: Vishal Belsare
Type: User
OpenSCAD - The Programmers Solid 3D CAD Modeller
A collection / listing of openly available software tools for (mostly human) electrophysiology.
An open source OEMS, and intraday algorithmic trading platform in modern C++ for institutional investors
OpenWindesheart is a library used for scanning, connecting and getting data from activity-trackers using bluetooth.
Learning with operator-valued kernels
Learning kernels to maximize the power of MMD tests
Optax is a gradient processing and optimization library for JAX.
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
Quantitative tools for asset allocation and portfolio management
Optimal Execution of Foreign Securities: A Double-Execution Problem with Machine Learning
Optimal execution with signatures
:arrows_counterclockwise: Exploring optimal order execution policies on limit order books
This entry contains two topics The first item is entirely based on the following paper: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2011-056.pdf It contains 2 MATLAB demonstrating script : DATA_preprocessing.m & VAR_modeling_script.m DATA_preprocessing.m uses the LOBSTER framework (https://lobster.wiwi.hu-berlin.de/) to preprocess high frequency data from the NASDAQ Total View ITCH (csv files) allowing us to reconstruct exactly at each time the order book up to ten depths. Just look at the published script ! VAR_modeling_script.m contains the modeling of the whole order book as VEC/VAR process. It uses the great VAR/VEC Joahnsen cointegration framework. After calibrating your VAR model, you then assess the impact of an order using shock scenario (sensitivity analysis) to the VAR process. We deal with 3 scenarii : normal limit order, aggressive limit order & normal market order). Play section by section the script (to open up figures which contain a lot of graphs). It contains a power point to help you present this complex topic. The second item is entirely based on the following paper : http://www.courant.nyu.edu/~almgren/papers/optliq.pdf It contains a mupad document : symbolic_demo.mn I did struggle to get something nice with the symbolic toolbox. I was not able to drive a continuous workflow and had to recode some equations myself. I nevertheless managed to get a closed form solution for the simplified linear cost model. It contains a MATLAB demonstrating script : working_script.m For more sophisticated cost model, there is no more closed form and we there highlighted MATLAB numerical optimization abilities (fmincon). It contains an Optimization Apps you can install. Just launch the optimization with the default parameters. And then switch the slider between volatility risk and liquidation costs to see the trading strategies evolve on the efficient frontier. It contains a power point to help you present this complex topic.
This is for the capstone project "Optimal Execution of a VWAP order".
Web site of the Computational Optimal Transport book
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
examples of lp optimization in python
Optimus is a mathematical programming library for Scala.
European Option Monte Carlo Pricer
Study Notes for Options as a Strategic Investment
optlang - sympy based mathematical programming language
A nimble options backtesting library for Python
A hyperparameter optimization framework
optimization routines for hyperparameter tuning
Google's Operations Research tools:
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Ordinal Regression and Classification Algorithms
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.