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MOCHILAB / AI SKILL
Same-Index ETF Peer Comparison
Compare same-benchmark ETFs by fees, tracking, spreads and scale without an opaque overall recommendation.
What it does
Compare same-benchmark ETFs by fees, tracking, spreads and scale without an opaque overall recommendation.
- Benchmark identity matching
- Hedging/replication checks
- Separate fee and liquidity fields
Try saying
Use my supplied records to compare same-benchmark ETFs by fees, tracking, spreads and scale without an opaque overall recommendation.
Export a reproducible report with the assumptions, key metrics and detailed CSV. Ask me for missing facts first.
Calculation scope
Benchmark IDs, replication and hedge flags are reviewed, not inferred from names. Annual expense sums disclosed management/custody/other rates only. Tracking error and spreads require consistent windows/quote times. Sorting by expense is informational, not a total-cost or suitability ranking.
Deliverables and runtime
Includes executable Python 3.10+ standard-library calculations, independent numerical tests, fictional examples and an input reference. Supported flat collections accept CSV. No extra key is needed for supplied data. Live data needs an available permitted source; no all-market real-time feed is bundled. Fictional rule profiles are not current legal/broker defaults. Files stay in the active assistant workspace, with input and output hashes. Analysis only; no account access or automatic trading.
References