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Superidylle's Projects

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

alpha101 icon alpha101

基于万矿平台对alpha101因子进行测试并构造多因子策略

alphatrading icon 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.

barra-model icon barra-model

An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.

barra_cne5 icon barra_cne5

Provide risk forecasts by Barra China Equity Model

bayestsa icon bayestsa

A Python library implementing Bayesian methods for solving estimation and forecasting problems in time series analysis

dawp icon dawp

Derivatives Analytics with Python (Wiley Finance)

hf_ctp_py_proxy icon hf_ctp_py_proxy

上期技术期货交易api之python封装,实现接口调用。支持windows linux.

mlfinlab icon mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

models icon models

Models and examples built with TensorFlow

neovim icon neovim

Vim-fork focused on extensibility and usability

option-arbitrage icon option-arbitrage

A Project to identify option arbitrage opportunities via Black Scholes. This is referred to as 'Option Arbitrage Trading' which seeks to neutralize certain market risks by taking offsetting long and short related securities.

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