> For the complete documentation index, see [llms.txt](https://rawlianalytics.gitbook.io/rawli-analytics-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rawlianalytics.gitbook.io/rawli-analytics-docs/basics/editor/prediction-market-coming-soon.md).

# PREDICTION MARKET(Coming Soon)

Rawli Analytics will expand its capabilities with a dedicated Prediction Market designed to give users a competitive edge in forecasting market outcomes before they unfold.

## ***Key Capabilities:***

●	***AI-Driven Outcome Forecasting***\
&#x20;Uses machine learning models trained on historical prediction market data to identify probable outcomes and confidence levels.\
●	***Market Sentiment Mapping***\
&#x20;Continuously scans live prediction markets, social signals, on-chain activity, and liquidity flows to visualize crowd bias and momentum shifts.\
●	***Event Impact Modelling***\
&#x20;Evaluates how key catalysts, news, announcements, and macro events may influence prediction market outcomes.\
●	***Probability Curve Generation:***\
&#x20;Generates clear probability curves to show how market odds evolve, helping users time their entries and exits.\
●	***Risk-Adjusted Insights***\
&#x20;Provides expected value (EV) scoring, volatility indicators, and scenario-based predictions to minimize blind betting.

## ***User Benefits:***

●	Make precise, data-backed predictions rather than emotional guesses.\
●	Identify undervalued prediction options before the market catches up.\
●	Track live probability changes and react instantly.\
●	Seamlessly move from analysis → execution inside the RAWLI ecosystem. <br>


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