QuantDaddy (davidkim0523)

davidkim0523

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QuantDaddy's repositories

Momentum

Implementation of Momentum Factor

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algotrading-example

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

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avellaneda-stoikov

Avellaneda-Stoikov HFT market making algorithm implementation

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book-dp1

Dynamic Programming Volume 1

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books

Source code for 200+ books, kept here for quick reference

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Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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ccapi

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.

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collect-binancefutures

Collect BinanceFutures's trade and orderbook(depth) feeds.

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example-scalping

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

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fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

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FinancePy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

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Machine-Learning-for-Algorithmic-Trading-Second-Edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

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Machine-Learning-for-Asset-Managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

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market-making-backtest

algo trading backtesting on BitMEX

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ML4FI

Python Repository for 'Machine Learning for Factor Investing (Python Version) (2023)'

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notebooks

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

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optopsy

A nimble options backtesting library for Python

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Portfolio_Optimization

Implementing Portfolio Optimization with Python

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Python-Basics-and-Data-Science

Python Programming Fundamentals and Introductory Data Science

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quant-finance-lectures

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

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sample-market-maker

Sample BitMEX Market Making Bot

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smtm

It's a game to get money

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volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

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volvisualizer

Extract and visualize implied volatility from option chain data

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