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While it is standard fare in credit risk modelling, it is under-utilized in other settings though its formulation makes it generic enough for use in other domains too. The WOE method primarily aims to bin variables into buckets that deliver the most information to a potential classification ...
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FinRL-Library - A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. bulbea - Deep Learning based Python Library for Stock Market Prediction and Modelling. ib_nope - Automated trading system for NOPE strategy over IBKR TWS. OctoBot - Open source cryptocur...
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Synergy Between Wild and Commercial: Bio-economic Modelling of Python Farming (Imperial College, London, 2011). Google Scholar Lyons, J. A. & Natusch, D. J. Wildlife laundering through breeding farms: Illegal harvest, population declines and a means of regulating the trade of green pythons (...
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Short-rate modelling framework(短期利率建模框架) Stochastic processes(随机过程) Term structures(期限结构) Utilities QuantLib实用例子:https://github.com/lballabio/QuantLib/tree/master/Examples pyfinance 项目地址:https://github.com/bsolomon1124/pyfinance ...
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The weight-of-evidence (WOE) method of evaluating strength of predictors is an understated one in the field of analytics. While it is standard fare in credit risk modelling, it is under-utilized in other settings though its formulation makes it generic enough for use in other domains too. ...