> For the complete documentation index, see [llms.txt](https://whitepaper.after-bell.uk/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.after-bell.uk/introduction/the-problem.md). # The Problem The limitations that make expressing short-term market views difficult today. Traditional equity trading follows a schedule. The questions that drive trading do not. At 4 PM, the regular stock market closes. After that point, a trader can still develop a view, receive new information, and watch related markets move. They may be unable to express that view through ordinary stock trading until the next session. AFTERBELL is designed around the gap between continuous information and bounded market hours. ### The close does not end the event Many of the most consequential stock questions arise when the regular session is over. An earnings report may arrive after the closing bell. A company can announce a product, revise guidance, or face an unexpected development during the weekend. Global markets can move while U.S. equity markets are closed. Those events do not simply create noise. They create discrete questions: * Will NVDA beat earnings? * Will TSLA fall below $240? * Will an AAPL product launch be received well? A trader may have a clear view on one of these questions without wanting, or being able, to express it through a conventional stock position at that moment. The question may also be narrower than a general directional bet. A participant may care about a particular close, threshold, or event result rather than the full path of the stock price. ### A directional view is not always a usable trade Traditional stock trading is effective for buying or selling an underlying asset during available market hours. It does not automatically turn a defined proposition into a two-sided Yes or No market. That distinction matters. “Will the price be above a stated level at a stated time?” is a resolution question. A stock position can reflect a broad expectation, but it does not itself provide a single binary contract with a published settlement condition. The trader must choose an instrument and manage exposure through the available trading session. AFTERBELL’s proposed format is different. It frames the view directly: > Will NVDA close above $150 on Friday? Participants can buy Yes or No. The market price then reflects the current terms at which participants are willing to take those opposing positions. Once the stated condition is evaluated, the winning outcome becomes redeemable. This does not make the outcome predictable. It makes the question explicit. ### The gap is not an absence of prediction markets Prediction-market products already exist. The source references Polymarket as an established platform in this category. AFTERBELL does not assume there is no prediction-market infrastructure or no competition. Instead, its proposed focus is narrower: prediction markets for stock-token outcomes on Robinhood Chain. The source identifies a combination not addressed by the referenced comparison: * Stock tokens, including NVDA, TSLA, and AAPL. * USDG as a settlement asset. * Chainlink price feeds for market resolution. The gap is therefore product-specific and infrastructure-specific. AFTERBELL is designed to combine those available building blocks into markets for stock-related questions that can remain relevant outside regular equity hours. ### A market that matches the question The proposed product is not limited to one kind of prompt. Weekly-close markets can frame a price condition at the end of a week. Earnings markets can frame a result around a scheduled report. Pre-market and after-hours markets can address conditions around the periods that ordinary equity trading treats differently. The source also describes 24/7 crypto markets. These formats share a common requirement: each must have an unambiguous question, a defined resolution condition, and a credible way to determine the answer. AFTERBELL proposes an order-book trading model and a dual-source resolution process to support that structure. Their detailed mechanics are intentionally covered elsewhere. ### A constrained opportunity The presence of infrastructure does not guarantee a functioning market. Organic liquidity is not guaranteed. New markets may require liquidity bootstrapping. Regulatory treatment of prediction markets involving securities remains uncertain. Smart contracts are not yet audited, and an audit is planned before mainnet. These are material constraints, not footnotes. They shape whether the proposed product can operate as intended. The core problem remains simple: **the questions continue after the bell, but conventional stock-market trading does not.** AFTERBELL is designed to give those questions an explicit Yes or No market built around stock-token infrastructure. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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. 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