# Event prediction - Bitcoin Halving event Get ready for a thrilling adventure in the world of digital currency! The Event Prediction game by Paytada invites you to uncover the mysteries of Bitcoin's future prices and compete for valuable rewards. ### Embark on your journey with the Event Prediction game by following these simple steps: 1. Access the Event Prediction Game in the "Games" section on the Paytada homepage. 2. Choose the last 8 digits that you believe will be the final digits in the Bitcoin price at a specific event in the future. Each set of 8 digits is considered a ticket, and you can purchase up to 20 tickets per round (Each user is not restricted in participating in multiple rounds). Strategically choose your numbers or use the random option to let Paytada generate numbers for you. 3. The event result will depend on the price of Bitcoin at the exact moment when the Bitcoin Halving event commences. ### Luck and risk in the game: If your prediction of all 8 digits precisely matches the last 8 digits of the actual Bitcoin price at the event, you'll evenly share the entire prize pool with other players who made accurate predictions. This serves as evidence of your sharp market analysis and precise Bitcoin price predictions. However, if your prediction is not accurate, you won't win any rewards. Event Prediction goes beyond mere entertainment; it's a game that hones your analytical skills and sharpens your market prediction abilities. Immerse yourself in the excitement, test your luck, and seize the opportunity to win valuable prizes. Join the Event Prediction game today to showcase your financial analysis skills and enjoy unexpected strokes of luck. --- # 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.paytada.com/game/event-prediction-bitcoin-halving-event.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.