app

BTC DCA Engine

Historical DCA simulator

BTC DCA Engine answers one question with arithmetic instead of opinion: what would a regular buying plan have been worth?

Give it an asset, an amount and a schedule — daily, weekly, monthly or quarterly — and a start date, and it returns what you put in, what it would be worth at the last close, the profit, the simple and money-weighted returns, the units held, and end-of-year checkpoints along the way. It can compare plans side by side and rank them, and it can return the individual purchases behind any figure.

Every answer carries a link that reopens the same run in the web app, pinned to the exact data it was computed from, so a number in a conversation can be checked rather than taken on faith. Prices come from published daily closes; inflation and rate series come from the St. Louis Fed. There is no forecasting, no advice, and no trading — it reads history and does the sums.

Free with no account: seven assets including Bitcoin, Ethereum, Solana, XRP, the S&P 500, the Nasdaq 100 and gold, and two plans per comparison. A BTC DCA Engine account covers the rest of the catalogue, larger comparisons, and the risk, inflation, lump-sum and rules-based overlays.

How to use

  1. 1Add it in ChatGPT

    Open BTC DCA Engine in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.

  2. 2Use it in a chat

    Type @ in the composer and pick BTC DCA Engine, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.

Skills 1

  • dca-simulations

    Use when someone asks what a regular buying plan would have been worth — "what if I'd put $50 a week into Bitcoin since 2018" — or wants to compare assets, buying schedules or start dates against real price history. Covers how to call the BTC DCA Engine tools and how to report what comes back.

Things to ask

  • “What would $50 a week into Bitcoin since January 2018 be worth today?”
  • “Compare $100 a month into Bitcoin and the S&P 500 since 2020.”
  • “Which assets can you simulate, and how far back does each one go?”

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