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xiqicpt's Projects

implement-option-pricing-model-using-python icon implement-option-pricing-model-using-python

Simulated GBM using MC simulation, estimated option' Greeks using numerical methods such as finite difference, pathwise derivative estimate and likelihood ratio methods. Lastly, implemented binomial tree option pricing to price American option.

international-real-yields icon international-real-yields

The project fits the Nelson-Siegel or Svensson curve to sovereign bond data (Real & Nominal) for various countries.

jesse icon jesse

An advanced crypto trading bot written in Python

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

machine-learning-and-data-science icon machine-learning-and-data-science

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

machine-learning-for-asset-managers icon 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.

mastering-algotrading-a-beginners-guide-using-kiteconnect-api icon mastering-algotrading-a-beginners-guide-using-kiteconnect-api

Launch into the realm of algorithmic trading with this beginner's guide. Explore the intricacies of the Indian Stock Market through practical examples and hands-on experience. This guide is tailored for those looking to harness the power of Zerodha's KiteConnect API for effective and efficient trading strategies.

mcpl-editor icon mcpl-editor

A workaround for supporting UTF-8 in MultiCharts's PLE

metatrader5-to-telegram icon metatrader5-to-telegram

An expert advisor to help traders connect their MT5 account, via the terminal with a Telegram Bot to broadcast messages to a user, group or channel.

mlfinlab icon mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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