About CryptoCalcLab

A calculator site that only does one thing well: getting the numbers right. Formulas are public, examples can be recomputed, data sources are labelled — no price forecasts, no coin picks, no return promises.

What this site solves

Most crypto investing questions are arithmetic: what did this entry cost, what does selling return, how much do fees eat, where does a DCA average cost land, what price is needed to break even. CryptoCalcLab turns those into calculators you can open and use immediately.

Three things we deliberately do not do: forecast prices, recommend coins or timing, or promise any rate of return. Every number on the site is derived from the inputs you provide, and you can verify it against the published formulas.

What the site covers

Twelve calculator tools across three families, all free and without sign-up:

Who runs the site

CryptoCalcLab is built and maintained by MrQuants (野马先生), working on quantitative data analysis, strategy planning and full-stack quant systems. The motivation is simple: the maths you must settle before investing should be a tool anyone can open.

If a formula seems wrong, data looks off, or you want another scenario covered, reach out on Telegram: @MrQuants.

Where the data comes from

Live quotes and historical daily candles come from public Binance spot data, fetched through our Cloudflare Worker edge proxy and cached at the edge; the page shows the update time. When data is unavailable you can type prices manually and the maths still works.

FX rates come from a public rate feed (open.er-api.com), again cached at the edge with a visible update time, and can be overridden with manual rates.

We only use public data. No user accounts, no wallet connections, and no collection of your email or identity.

Editorial and verification principles

Public methodology: every tool documents the formulas and assumptions it uses, consolidated on the Methodology page.

Reproducible examples: every worked example can be recomputed by hand from the published formulas, and market assumptions are labelled as assumptions.

Facts separated from simulation: historical data is fact; backtests and compounding are mathematical simulations, and we never present a simulation as a forecast.

Timestamps everywhere: prices and datasets carry a capture or update time so stale data is never mistaken for a live quote.

Disclaimer

This website provides calculation tools, mathematical simulations and historical data analysis. Nothing here is investment advice, financial advice or a promise of returns. Crypto prices are highly volatile and you may lose part or all of your capital. All results are for mathematical reference only — assess your own risk and follow the laws of your jurisdiction.