> For the complete documentation index, see [llms.txt](https://astron-markets.gitbook.io/litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://astron-markets.gitbook.io/litepaper/getting-started/publish-your-docs.md). # Problem Statement Prediction markets hold immense potential for harnessing collective intelligence, but user-level inefficiencies and limitations significantly impact their effectiveness. As the landscape evolves, the need for smarter, user-centric tools that empower individuals to participate efficiently and strategically becomes more apparent. *** **Market Inequality** The majority of users consistently lose money, with only 18% of Polymarket traders turning a profit while 82% remain in losses. This disparity highlights the dominance of experienced participants and the lack of accessible tools for the average user. *** **Data Processing Limitations & 24/7 Market Monitoring** Users struggle to analyze vast amounts of market data and shifting odds in real time. Without AI-driven insights, they miss profitable opportunities, miscalculate probabilities, and fail to adapt to rapid market changes. Additionally, prediction markets operate 24/7, requiring continuous monitoring—something human participants cannot sustain, leading to missed trades and suboptimal execution. *** **Lack of Personalized Strategies** Prediction markets currently provide a one-size-fits-all experience, forcing users into manual research and execution. Without automation and customization, participants struggle to align bets with their unique risk tolerance and strategic preferences. *** **Missed Opportunities Due to Market Volatility** Real-time odds fluctuate rapidly, but human reaction time is limited. Manual execution results in delays, errors, and missed opportunities, particularly during high-activity periods when speed and precision are critical. *** **Information Overload & Emotional Bias** Users are overwhelmed by signals, event data, and community insights, making it difficult to filter relevant information. This leads to decision fatigue, misinterpretation of trends, and emotional decision-making—such as chasing losses or over-betting—further reducing profitability. *** **Limited Access to Advanced Betting Models** Professional syndicates leverage quantitative models to maintain over 60% win rates, while everyday users lack the expertise or tools to compete. Complex strategies like multi-event correlations and risk-adjusted returns remain out of reach for most participants.