A JavaScript library to allocate and optimize financial portfolios.
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Updated
Mar 3, 2023 - JavaScript
A JavaScript library to allocate and optimize financial portfolios.
Tracking S&P 500 index with deep learning model
Term project based on Sparse Index Tracking for Passive Investment
Genetic Algorithm Optimization for the Index-Tracking problem.
Automatic Index Tracking for CasADi NLPs
Passive index replication of the NASDAQ-100 using Mixed Integer Programming that selects an optimal 25-asset fund from 97 equities to maximise correlation-weighted similarity across rolling market regimes.
ML pipeline replicating the FTSE MIB with an autoencoder for stock selection — out-of-sample evaluation
Mirrors the U.S. and Canadian markets with just 20 stocks, matching their moves without chasing bigger returns.
Sparse S&P 500 portfolio replication using LASSO regression, greedy forward selection, and quadratic programming for tracking-error minimization.
Replicate the NASDAQ-100 with a 25-asset index fund using mixed integer programming to maximize correlation-based similarity.
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