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Siren

Siren is the execution and risk intelligence layer for prediction markets. It does not try to replace Kalshi, Polymarket, or onchain venues. It sits above them and answers the questions active traders actually feel in real time:
  • Can this trade actually get done at my size?
  • Why did the route fail?
  • How exposed am I across related events?
  • What changes as resolution gets closer?
  • What should I do next after a partial fill or rejection?
App: onsiren.xyz
Docs: docs.onsiren.xyz

What Siren does

  • Execution feasibility before submit
    Siren surfaces more than a headline price. It helps you understand whether the venue can actually absorb your size.
  • Adaptive execution when routes are thin
    If full size is unrealistic, Siren can step trades down and make the failure state legible instead of opaque.
  • Explainable route outcomes
    Traders should not have to decode vague venue errors. Siren translates route and venue failures into plain language.
  • Portfolio and resolution risk clarity
    Siren brings balances, open positions, realized outcomes, execution readiness, and soon correlated risk into one account surface.
  • Post-trade context
    Siren is building toward summaries of what filled, what failed, what size worked, and how to act next.

How Siren fits the market stack

Think in layers:
  • Venues and liquidity
    Kalshi, Polymarket, and other prediction venues where rules and order books live.
  • Capital and structured layers
    Leverage, bundles, structured products, and alternate wrappers around venue exposure.
  • Siren
    Execution reliability, route context, sizing help, risk guardrails, and post-trade clarity.
That is the category Siren is claiming.

Product pillars

1. Execution feasibility

Before or at submit time, Siren helps you understand whether the market can plausibly clear at the size you want.

2. Adaptive execution

When full size is unrealistic, Siren supports smaller controlled steps instead of opaque failure loops.

3. Route explanation

Error output should become human-readable and actionable.

4. Risk guardrails

Start with simple rules that change behavior:
  • concentration hints
  • venue readiness
  • resolution awareness

5. Post-trade reporting

Every trade should leave behind context, not just a signature.

Agentic direction

Siren’s later layer can become agentic:
  • execution copilots that suggest smaller routes
  • portfolio agents that warn on correlated exposure
  • post-trade agents that summarize failures and next actions
  • daily intelligence briefs across venues and positions
The goal is not “AI for the sake of AI.” The goal is reducing execution blindness and risk blindness.

Where to go next