# Engage with ROI Prediction Markets and Earn Reputation Users can engage with the ROI Prediction Market by predicting how many times they believe the price of a token will increase after it becomes publicly tradable. For instance, if the public sale price of a token is set at $1, and a user predicts it will double in value, they would place a bet on a '2x' increase. This feature gauges the community's sentiment and collective expectations of a token's initial market performance. A correct prediction would result in a reputational reward, encouraging informed betting and active participation in the market. Conversely, incorrect predictions serve as a learning curve, slightly diminishing one's reputation and offering insight into market trends and prediction strategies. ## Eligibility and requirements for participation in ROI & Initial Listing Prediction Markets In the ROI Prediction Market of Oriole Insights, access to participate in specific projects is contingent on meeting certain eligibility requirements. Each user must attain a particular [**Level**](https://docs.orioleinsights.io/home/whitepaper/user-engagement-growth-and-gamification/levels-and-leveling-up-mechanism) within the platform, which ensures that participants have a foundational understanding and experience with the system's mechanics. Additionally, specific [**Badges**](https://docs.orioleinsights.io/home/whitepaper/core-mechanics-and-reward-system-of-oriole-insights/user-types-and-their-role-in-oriole-insights) may be required, which can serve as credentials symbolizing a user's expertise or previous achievements. These restrictions are project-dependent and are set to ensure that those engaging with the prediction are well-equipped to contribute meaningfully to the collective forecasting effort. Restrictions also prevent market manipulations and misleading the community by spamming predictions from just-registered users. --- # 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.orioleinsights.io/home/whitepaper/core-mechanics-and-reward-system-of-oriole-insights/roi-and-initial-listing-prediction-markets/engage-with-roi-prediction-markets-and-earn-reputation.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.