# Buy Back Program The **$NOVA Buy Back Program** is a structured commitment to strengthen the token's economy, increase market confidence, and align long-term incentives among the founding team, investors, users, and the community. Through this program, the NOVA AI team will allocate a portion of its actual revenue to **buy back tokens from the open market**, up to a maximum of **20% of the total circulating supply** over the next **36 months**. These tokens will be purchased at market price and **locked** in public contracts for a community purpose, which will then be subject to **voting and governance by holders**. #### Program Objectives * 🔄 **Stabilize the token economy** in the long term * 💰 **Reinject real value** from product use into the community * 📉 **Reduce the effective circulating supply**, creating positive pressure * 🧠 **Boost community engagement** through decisions about the future use of repurchased tokens #### How does it work? * The NOVA team will use revenue **from only:** * Creator fees from the NOVA ecosystem * Net profits from B2B products or services (APIs, premium modules, licenses) * Tokens will be repurchased directly on the market, gradually, transparently, and without prior speculative announcements. * All repurchased tokens will be **sent to a public vault address**, where they will be locked. * A buyback report will be published quarterly, including: * Amount bought back * Liquidity source used * Wallets involved * Destination of tokens * Every 6 to 12 months, holders will be able to **vote** on what to do with locked tokens: -Burn them permanently -Use them for community incentives -Allocate them to security funds -Allocate them to governance rewards --- # Agent Instructions: 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: ``` GET https://docs.galaxyhub.ai/usdnova-token/buy-back-program.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.