> For the complete documentation index, see [llms.txt](https://doc.datagram.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.datagram.network/documentation/whitepaper/6.-datagram-rewards-and-emissions-model/6.2.-emissions-formula.md).

# 6.2. Emissions Formula

As more tokens enter circulation, emissions gradually decrease, creating a deflationary effect.\\

\
The rewards system follows a daily emissions model based on the following formula:

1. **Latent Supply =** Maximum Supply - Current Total Supply
2. **Daily Emissions =** Latent Supply x 0.125%

For example, if the Maximum Supply is 10,000,000,000 tokens and the Current Total Supply is 5,750,000,000, the
 Latent Supply would be 4,250,000,000 tokens. Applying the emissions rate:\\

\
Daily Emission = 4,250,000,000 × 0.125% = 5,312,500 tokens per day.

As more tokens enter circulation, the latent supply decreases, which in turn reduces daily emissions. This
 deflationary model ensures that as more tokens enter circulation, the daily emissions decline, reducing
 inflationary pressure over time