> For the complete documentation index, see [llms.txt](https://omira-documentations.gitbook.io/omira-documentations/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://omira-documentations.gitbook.io/omira-documentations/0.07-agent-model/model-whitepaper/simulate-market-events.md).

# Simulate Market Events

Omira’s 0.07 model may deliver predictions contingent on specific events or catalysts; In other words, **0.07 may adapt its price predictions & sentiment insights to hypothetical scenarios provided by users.** This is achieved via data-based simulations, where the occurrence of previous similar events are cross referenced with previous chart & sentiment patterns, the results of which are then used to simulate future chart movements & sentiment shifts on the specified asset.

**For newer tokens with limited market data**, simulations are based on previous similar occurrences on other tokens with high similarity in both nature and social engagement.

**For older tokens with greater market history**, simulations are based on previous similar occurrences on the specified asset, with data being drawn from other similar tokens where necessary.

**Here are some examples of hypothetical scenarios which users may provide 0.07 with in order to receive event-adapted predictions:**

* How is the release of X token’s utility likely to affect price?
* What is likely to happen to X token’s price if the release of X token’s utility is delayed?
* What is likely to happen to X token’s price if X marketer posts about it?
* What is likely to happen to X token’s price if it gets listed on X place?