by GCBC Ventures | Sep 6, 2023 | Finance, Machine Learning

We present a combination of the ideas from Quant And Machine Learning Portfolio Construction: Mimicking An Asset Price Series With Nearest Neighbors and Quant And Machine Learning Portfolio Construction: Mimicking An Asset Price Series With Nearest Neighbors – Part 2...
by GCBC Ventures | Sep 3, 2023 | Finance, Machine Learning, Papers

Quantocracy: This is a curated mashup of quantitative trading links. Review of Parameter Tuning Methods for Nature-Inspired Algorithms – Geethu Joy, Christian Huyck, Xin-She Yang Almost all optimization algorithms have algorithm-dependent parameters, and the...
by GCBC Ventures | Aug 27, 2023 | Finance, Machine Learning, Papers

Quantocracy: This is a curated mashup of quantitative trading links. AutoAlpha: an Efficient Hierarchical Evolutionary Algorithm for Mining Alpha Factors in Quantitative Investment – Tianping Zhang, Yuanqi Li, Yifei Jin, Jian Li The multi-factor model is a...
by GCBC Ventures | Aug 26, 2023 | Finance, Machine Learning

We combine ideas from: Quant And Machine Learning Portfolio Construction: KNN Projections Using Futures Calibration Data Quant And Machine Learning Portfolio Construction: Random Weights, K-Means, Fixed Portfolio to explore weights for the following portfolio....
by GCBC Ventures | Aug 25, 2023 | Finance, Machine Learning

Introduction The idea behind projections is to take current data, match it with some previous data using some algorithm, then, as outcomes are known for previous data, we can use such information for statistical future projections of current data. Such analysis is...
by GCBC Ventures | Aug 20, 2023 | Finance, Machine Learning, Papers

Quantocracy: This is a curated mashup of quantitative trading links. Portfolio Selection via Topological Data Analysis – Petr Sokerin, Kristian Kuznetsov, Elizaveta Makhneva, Alexey Zaytsev Portfolio management is an essential part of investment decision-making....