# Reward Program Season 1 > **For the first season of the reward points program (20.08.2024 to 20.09.2024), we are allocating 3.5 Million Kana Tokens and 5000 APT tokens as a reward.** The Kana Tokens can be redeemed using your accumulated reward points at TGE while the APT tokens are rewarded to you shortly after the end of season 1. The Kana Tokens reward applies to all users active during this campaign while, the APT token reward will only be awarded to the top 500 traders with the highest trading volume on our order book platform Kana Trade. *** The APT token split for the 500 users is explained below - 1. Top 1-10 Traders: Distribute 35% of the total rewards (1,750 APT) • 1st place: 10% of the total rewards (500 APT) • 2nd place: 7% of the total rewards (350 APT) • 3rd place: 5% of the total rewards (250 APT) • 4th-10th places: A reward pool of 650 APT tokens is split equally between 7 traders -92.86 APT each 2. 11th-50th Traders: Distribute 30% of the total rewards (1,500 APT) • 11th-20th places - A reward pool of 500 APT tokens is split equally between 10 traders - 50APT each • 21st-50th places: A reward pool of 1000 APT tokens is split equally between 30 traders - 33.33 APT each 3. 51st-200th Traders: Distribute 25% of the total rewards (1,250 APT) • 51st-100th places: A reward pool of 750 APT tokens is split equally between 50 traders - 15 APT each • 101st-200th places: A reward pool of 500 APT tokens is split equally between 100 traders - 5 APT each 4. 201st-500th Traders: Distribute 10% of the total rewards (500 APT) • 201st-300th places: A reward pool of 250 APT tokens is split equally between 100 traders - 2.5 APT each • 301st-500th places: A reward pool of 250 APT tokens is split equally between 200 traders - 1.25 APT each --- # 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.kanalabs.io/rewards-and-referral-program/rewards-program/reward-program-season-1.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.