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Name: Naveen Kumar Suppala
Type: User
Company: Intercontinental Exchange
Bio: Manager ( Principal Applied AI scientist ) - Global Quantitative Research @ ICE (New York Stock Exchange)
Location: Hyderabad, India
Name: Naveen Kumar Suppala
Type: User
Company: Intercontinental Exchange
Bio: Manager ( Principal Applied AI scientist ) - Global Quantitative Research @ ICE (New York Stock Exchange)
Location: Hyderabad, India
Advanced Deep Learning with Keras, published by Packt
Collection of 3 quantitative finance projects in Python that uses algorithmic trading.
2 books and related source codes for algorithmic trading.
A 5-day workshop starting from April 25 2022 and covers topics from the basics of finance to coding a trading strategy in python. The goal of this workshop is to give the students hands-on experience in developing a trading strategy and deploying it live along with an introduction to quantitative research. We expect that after this workshop student
The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.
HFT backtest-engine for LOB data.
Building Low Latency Applications with CPP by Packt Publishing
Notes about modern C++, C++11, C++14 and C++17, Boost Libraries, ABI, foreign function interface and reference cards.
Companion code for "Modern Computational Finance: AAD and Parallel Simulations" (Antoine Savine, Wiley, 2018)
OOP for option pricing with exact forms & sensitivity analysis (Greeks)
C++ Primer 5 answers
CppUTest unit testing and mocking framework for C/C++
Derivatives pricing in modern C++.
C++ Design Patterns
Event-driven backtesting engine written in C++
A list of engineering manager resource links.
A collection of derivative pricing module implemented in C++ and Python
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.
FinRL: Financial Reinforcement Learning. 🔥
FIX library generated with C++ PreProcessor to be used in latency sensitive context.
An open-source C++ library developed and used at Facebook.
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
PyFusion is the Python SDK for the Fusion platform API.
Create automated crypto bots that trade for you while you sleep
This code is a companion of my article about "How technology and automation can help to improve Execution Quality in FX"
Vanilla and exotic option pricing library to support quantitative R&D. Focus on pricing interesting/useful models and contracts (including and beyond Black-Scholes), as well as calibration of financial models to market data.
C++ implementation of the Google logging module
Python toolkit for quantitative finance
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.