> For the complete documentation index, see [llms.txt](https://docs.flash.im/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flash.im/whitepaper/markets-for-everything.md).

# Markets for Everything

### 2.1 Everything Trades

Prediction markets turned events into tradable contracts. Elections, rate decisions, geopolitical crises, even sports: contracts settle on events, and events are confirmed by news. Prediction market trading volume has grown more than tenfold in ten months, from under $5 billion a month in September 2025 to a record $50.6 billion in July 2026.

RWA erases the boundary of assets. Bonds, real estate, and commodities become tokens and trade on global markets around the clock.

{% hint style="success" %}
The more things trade, the more every price converges on a single input: news. News moves prices and settles contracts.
{% endhint %}

### 2.2 Context Moves Into the Screen

<figure><img src="https://747652094-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FXF7WB8PYgl8c5gX0ps3D%2Fuploads%2FxXwZ6AfuAe3CcN38bGtt%2FV8-1a_live-on-binance.png?alt=media&#x26;token=51d65dc1-bf84-45c2-9f3b-b281f32b99a1" alt=""><figcaption></figcaption></figure>

Traders do not leave the screen to find context. Prediction markets must show why things are moving inside the contract screen, exchanges next to the chart, data providers inside the asset page.

The unit of news consumption is moving from the site to a layer inside the screen. What institutions need is a structured news layer they can mount directly inside their own product.

### 2.3 Decisions Move to Agents

On top of these markets, the decision-maker is changing. AI agents do not look at screens the way people do: they call APIs directly, receive data, decide, and execute trades.

An agent's judgment is only as good as its input data. What agents need is a machine-readable news judgment they can call in real time.

### 2.4 Agents That Pay

x402 is a micropayment standard that lets AI agents pay per call without a human checkout. From receiving data to paying for it, the agent's autonomous loop is complete.

```mermaid
flowchart LR
    A["Intelligence<br/>FLASH"] --> B["Decision<br/>AI agent"] --> C["Execution<br/>x402"]
```

FLASH is designed agent-native to hold the first position in this loop.

### 2.5 What This Era Demands

Markets, screens, participants, and payment are changing together. This era demands five things of news infrastructure.

<table data-view="cards"><thead><tr><th></th><th></th><th></th></tr></thead><tbody><tr><td><h4><i class="fa-display" style="color:$primary;">:display:</i></h4></td><td><strong>Mount inside the screen</strong></td><td>It has to render where the trade happens, not on another site.</td></tr><tr><td><h4><i class="fa-bolt" style="color:$primary;">:bolt:</i></h4></td><td><strong>Run in real time</strong></td><td>Judgment must arrive as fast as the headline.</td></tr><tr><td><h4><i class="fa-code" style="color:$primary;">:code:</i></h4></td><td><strong>Be machine-readable</strong></td><td>Structured fields an agent can parse, not prose it has to guess at.</td></tr><tr><td><h4><i class="fa-ruler" style="color:$primary;">:ruler:</i></h4></td><td><strong>Judge consistently</strong></td><td>One scale across every outlet and every day.</td></tr><tr><td><h4><i class="fa-language" style="color:$primary;">:language:</i></h4></td><td><strong>Speak every major market</strong></td><td>The same judgment in the reader's own language.</td></tr></tbody></table>

Why existing news meets none of these conditions is the subject of the next chapter.