GAOYUANYUAN

GAOYUANYUAN

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VlPetrov

Risk management Tools based on Intrinsic Time and Scaling Laws

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AlphaTrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

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ArbFreeIV-VAE

Code repository for demos of the article 'Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders'.

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avellaneda-stoikov

Avellaneda-Stoikov HFT market making algorithm implementation

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Code

Golub, Glattfelder and Olsen, ''The Alpha Engine: Designing an Automated Trading Algorithm''

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ctpwrapper

上海期货交易所CTP接口 Shanghai Future CTP Interface CTP 6.3.15 Python API Wrapper

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DataAnalysis

Here I will store some of my research work done on the data analysis.

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DeepReinforcementLearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

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FBR-CN

Fooled by Randomness Chinese Version

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ISAC

Optimal control of risk aversion in Avellaneda Stoikov high frequency market making model with Soft Actor Critic reinforcement learning

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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MTH9879-Market-Microstructure-Models

A collection of homeworks of market microstructure models.

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Numerical-Methode-for-Finance

This project consists in the implementation of a Neural Network using TensorFlow in order to calibrate the SABR model. The final goal consists in predicting a volatility surface, as described in "Deep Learning Volatility" (2019).

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Options-market-making-using-a-stochastic-control-approach

Options market making using a stochastic control approach

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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robust-risk-aware-rl

Some implementations from the paper robust risk aware reinforcement learning

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SABR_local_vol

Construction of local volatility surface by using SABR

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SSVI

Surface SVI parameterisation and corresponding local volatility

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STA2536

For code and snippets for STA 2536: Data Science for Risk Modeling

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Stochastic-Processes--National-Research-University-Higher-School-of-Economics---Coursera

Course materials for the Coursera MOOC: Stochastic Processes from National Research University Higher School of Economics

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stochastic-volatility

three stochastic volatility model: Heston, SABR, SVI

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StochasticBlockmodel

Exploring inference in variants of a stochastic blockmodel for (directed) network data

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SuanShu-2

Extension of original open-sourced math library, SuanShu.

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SVI-Volatility-Surface-Calibration

SVI volatility surface model and an example of China 50ETF option

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Vol-surface-parametrisation

Parametrisation of vol surface using Gatheral's SVI methodology and valuation of American options using Kim integral equations

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Waiting_Times_and_Number_of_Directional_Changes

Code and experiments described in the "Waiting Times and Number of Directional Changes in Intrinsic Time framework" paper (to be published)

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