RandomX and Monero context
RandomX is the proof-of-work algorithm used by Monero. It is commonly associated with CPU mining, which makes hashrate units and expectations different from ASIC-heavy networks such as Bitcoin.
Because many RandomX setups are smaller and distributed, probability interpretation matters. A hashrate that looks meaningful locally can still be a small share of the Monero network.
Why 1 MH/s per day needs probability context
Searches such as 'randomx 1 xmr per 1 mh/s per day' usually mix revenue expectation with probability timing. The better question is how much expected XMR a hashrate represents under current network conditions, and how variable solo discovery is.
One megahash per second does not imply a fixed daily XMR amount in solo mode. It maps to an expected block rate, and the realized path can be uneven.
Solo XMR odds versus smooth payouts
Solo Monero mining means you receive rewards only when your own setup finds a block. Pool mining can smooth payout timing, but solo mining keeps variance concentrated in your own results.
The calculator helps decide whether your RandomX hashrate is large enough for solo mode or whether pooled mining better fits your cashflow needs.
Inputs that matter for RandomX
Use effective hashrate after throttling, rejected work, background load, memory configuration, and downtime. RandomX performance can vary materially with CPU, memory, thermals, and operating environment.
Then pair that hashrate with current Monero network conditions. Stale network assumptions can make expected XMR and block odds misleading.
How to use the Monero page
Open the Monero coin page for a locked XMR view, or use the RandomX algorithm page when you want algorithm-level context. Enter conservative hashrate first, then compare month and year odds.
If the yearly probability still looks too low for your risk tolerance, the math is telling you that solo exposure may be more speculative than operational.
Avoiding misleading RandomX claims
Be careful with fixed reward claims that omit difficulty, network hashrate, uptime, and variance. They may describe a snapshot, a pool estimate, or an outdated condition.
A robust calculator keeps formulas transparent and updates network inputs through a worker-backed data path instead of asking the browser to contact many third-party sources.