# Future Developments ### W**hitelisting for Easier Prediction Market Creation** Certain users will be able to create markets without undergoing Earn Network's internal review, making the prediction market setup much easier. If any issues arise (e.g., incorrect details or flawed logic), users can report the market and get $EARN tokens. The reward will be deducted from the fee paid by the Market Creator to launch the market. ### **Trading Your Bet** Once you place a bet, you can trade it on the open market with other users. ### H**ybrid AMM & Order Book Mechanism** The combination of AMM and an order book enhances price discovery, ensuring tighter spreads and deeper markets. This hybrid approach mitigates the impact of large orders and increases user participation, creating a more efficient and fair prediction market. ### **Enhanced Market Discoverability** Robust tagging, up/down voting, and a simple AI model will improve market visibility, attracting more participants to popular markets. This will drive liquidity to valuable prediction markets. Additionally, users who share markets on social media will receive rewards, further increasing engagement. ### **Private Markets for Selected Participants** Similar to our Staking Pools, which can be restricted based on NFT holdings, whitelisting, or minimum stake requirements, Prediction Markets can also be limited to selected participants. This feature allows Market Creators to integrate exclusive markets into private events or similar initiatives. --- # 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://whitepaper.earn.network/en/prediction-markets/future-developments.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.