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MOCHILAB / AI SKILL
Investment Fee Drag Lab
Compare entry, annual, fixed and exit fees with a no-fee counterfactual and lost compounding.
What it does
Compare entry, annual, fixed and exit fees with a no-fee counterfactual and lost compounding.
- Same gross-return counterfactual
- Percentage and fixed fees
- Fees versus lost compounding
- Avoid deducting already-net fees twice
Try saying
Use my supplied records to compare entry, annual, fixed and exit fees with a no-fee counterfactual and lost compounding.
Export a reproducible report with the assumptions, key metrics and detailed CSV. Ask me for missing facts first.
Calculation scope
Use a pre-fee effective annual gross return assumption. Each month grows, pays annual percentage and fixed fees divided by twelve, then receives the net end-month contribution. Entry fees also apply to additions and exit fees to final wealth. Charges are capped by available assets. Do not deduct a fund expense ratio again from already-net NAV returns.
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 market-data key is needed. Files stay in the active assistant workspace, with input and output hashes. Analysis only; no account access or automatic trading.
References