> For the complete documentation index, see [llms.txt](https://mhnt.gitbook.io/metahunt-wp/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mhnt.gitbook.io/metahunt-wp/staking-mechanics/usdcoc-staking.md). # $COC Staking 1 billion MHNT tokens are allocated for COC staking rewards, which will be distributed over 24 months. The distribution is divided into four distinct periods. Here's the new breakdown: * Period 1 (Months 1-6): 40% of COC staking rewards pool (400,000,000 MHNT) * Period 2 (Months 7-12): 30% of COC staking rewards pool (300,000,000 MHNT) * Period 3 (Months 13-18): 20% of COC staking rewards pool (200,000,000 MHNT) * Period 4 (Months 19-24): 10% of COC staking rewards pool (100,000,000 MHNT) Let's simplify the staking calculation using the same hypothetical scenario: If a user stakes 5 COC tokens during Period 1, we can determine the total daily rewards for Period 1. * Total daily rewards (Period 1) = Total rewards for Period 1 / Total days in Period 1 * Total daily rewards (Period 1) = 400,000,000 MHNT / 180 days * Total daily rewards (Period 1) = 2,222,222.22 MHNT With the assumption that 1% of the total COC supply (500 COC) is being staked during Period 1, we can calculate the user's share of the staking pool: * User's share = User's staked tokens / Total staked tokens * User's share = 5 COC / 500 COC * User's share = 0.01 Finally, we calculate the user's daily staking rewards: * User's daily staking rewards = User's share \* Total daily rewards (Period 1) * User's daily staking rewards = 0.01 \* 2,222,222.22 MHNT * User's daily staking rewards = 22,222.22 MHNT Thus, a user staking 5 COC tokens will receive 22,222.22 MHNT tokens daily as staking rewards during Period 1. As we progress through the emission schedule and the rewards decrease, the user's daily rewards will accordingly decrease. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://mhnt.gitbook.io/metahunt-wp/staking-mechanics/usdcoc-staking.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.