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.
Mirrors the U.S. and Canadian markets with just 20 stocks, matching their moves without chasing bigger returns.
ML pipeline replicating the FTSE MIB with an autoencoder for stock selection — out-of-sample evaluation
Replicate the NASDAQ-100 with a 25-asset index fund using mixed integer programming to maximize correlation-based similarity.
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