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DAO Operator Guide: How Token Futarchy Works

This page explains how DAOs use token futarchy to evaluate governance decisions using market signals.

Futarchy does not replace governance by default. Instead, it provides pre-decision, incentive-aligned signals about the expected value of approving or rejecting a proposal. These signals are designed to inform — and over time, improve — governance decisions.

This guide focuses on how futarchy works conceptually, how to interpret its outputs, and the recommended default model for DAOs.
Operational details (liquidity, oracles, thresholds, timelines) are covered in the Integration Guide.

Documentation Map

DAO Operator Guides

  • Adoption Levels
    How to phase futarchy adoption from advisory signals to sponsored programs and autonomy.

  • Integration Guide
    Practical setup details for liquidity, oracles, thresholds, timelines, and governance hooks.

  • DAO FAQ
    Common questions about manipulation, liquidity, thresholds, and operational risk.

  • Sponsored Proposals
    How sponsored futarchy programs work, including deposits, discounts, cadence, and safeguards.

Motivation

Governance decisions are hard.

Proposals often involve complex tradeoffs and uncertainty, and it is difficult to know in advance which actions will actually improve outcomes. Voting aggregates preferences, but it does not aggregate beliefs about consequences very well.

In 2024, MakerDAO rebranded to “Sky.” Within ten days, the token lost roughly 20% of its market value — over $500M.
Many believed the rebrand caused this collapse, but without a way to isolate its effect, it was impossible to know for sure.

Futarchy addresses this problem.

By running two parallel markets — one where a decision happens, and one where it does not — a DAO can observe the expected token price impact of a proposal before committing to it.

Instead of guessing after the fact, futarchy makes expectations visible in advance.

Prediction Markets vs. Futarchy Markets

It is important to distinguish prediction markets from futarchy markets:

  • Prediction market:
    “What is the probability that event X will happen?”

  • Futarchy market:
    “What will the token be worth if we do X versus if we don’t?”

Prediction markets estimate probabilities.
Futarchy markets compare counterfactual worlds and measure the expected value impact of a decision.

The goal is not to predict outcomes, but to inform choices.

Futarchy Evaluation (Default Model)

When a proposal is evaluated using futarchy, two conditional markets are created:

  • YES market — trades the token price if the proposal is approved
  • NO market — trades the token price if the proposal is rejected

Participants trade in these markets using real capital, expressing their beliefs about how the proposal would affect long-term value.

During the evaluation window (default: 7 days), prices evolve continuously.
At the end of the window, the DAO compares the time-weighted average prices (TWAP) of the two markets.

Default Recommendation Rule

By default, Futarchy.FI recommends:

  • Approve if YES > NO + threshold

  • Reject otherwise

  • Default threshold: 1%

  • Scope: global per DAO (can be raised for high-impact proposals)

This rule is a recommended default, not a protocol requirement.
DAOs are encouraged to tune thresholds conservatively for sensitive decisions.

flowchart LR
  Y["YES price (TWAP)"] --> C{"YES > NO + Threshold?"}
  N["NO price (TWAP)"]  --> C
  C -- Yes --> R1["Recommendation: Approve"]
  C -- No  --> R2["Recommendation: Reject"]

Trader Perspective (Illustration)

Even if this guide is for DAOs, seeing how traders act makes it clear:

  • Supporter’s trade: “I only want to invest if this proposal passes.”
    → They buy into the YES Market.
%%{init: {'theme':'base','themeVariables':{'fontSize':'12px','primaryColor':'#eef6ff','primaryBorderColor':'#7aa2ff','lineColor':'#7aa2ff'}}}%%
flowchart LR
  A["Buy in YES market (conditional)"] --> B{"Proposal approved?"}
  B -- Yes --> C["Redeem → tokens (investment executed)"]
  B -- No  --> D["Refund → funds returned"]
  classDef box fill:#f9f9ff,stroke:#7aa2ff,rx:6,ry:6;
  class A,B,C,D box;
  • Opponent’s trade: “I want to sell my tokens if this proposal passes.”
    → They sell into the YES Market (conditional exit). 
%%{init: {'theme':'base','themeVariables':{'fontSize':'12px','primaryColor':'#eef6ff','primaryBorderColor':'#7aa2ff','lineColor':'#7aa2ff'}}}%%
flowchart LR
  A["Sell in YES market (conditional)"] --> B{"Proposal approved?"}
  B -- Yes --> C["Settle → stable (exit completed)"]
  B -- No  --> D["Revert → keep tokens"]
  classDef box fill:#f9f9ff,stroke:#7aa2ff,rx:6,ry:6;
  class A,B,C,D box;

These individual bets aggregate into a market price signal — the information the DAO cares about.

Interpreting the Signal

  • YES meaningfully above NO
    → The market expects the proposal to increase long-term value.

  • NO above YES
    → The market expects the proposal to be value-destructive.

  • YES and NO very close
    → The market is signaling no measurable expected impact.

Important: No Activity Is Still Information

Thin or inactive markets are not a failure mode.

If prices remain close to the spot price with little trading, the correct interpretation is:

“The proposal does not appear to materially affect value.”

This is a valid and often useful signal, especially for low-impact or cosmetic changes.

Why Futarchy Works

Futarchy works because it allows participants to express beliefs conditionally, rather than politically.

  • Traders risk capital only in the world they care about.
  • Informed participants profit by correcting mispricings.
  • Uninformed or manipulative trades are costly to sustain.

Because positions are conditional, participants are incentivized to reveal honest expectations about value — not preferences, rhetoric, or social alignment.

The result is a market-based estimate of expected value.

Noise, Manipulation, and Market Quality

Markets can always be influenced in the short term, but futarchy is designed so that:

  • Manipulation without information is expensive
  • Informed traders profit by trading against noise
  • TWAP averaging reduces last-minute price swings

In practice, attempts at manipulation tend to transfer wealth from manipulators to informed traders, while improving price accuracy.

See the DAO FAQ for deeper discussion.

How DAOs Use Futarchy Outputs

Futarchy.FI is advisory by default.

Common governance patterns include:

  • Advisory — futarchy recommendations inform votes and deliberation
  • Veto-gated — proposals must pass futarchy to advance
  • Autonomous (FAO, Futarchy Autonomous Optimizer) — futarchy outcomes trigger execution automatically (advanced; launching separately)

Most DAOs begin with advisory futarchy, build trust in the signal, and expand from there.

Scope and Limits

Futarchy:

  • does not execute proposals on its own (by default)
  • does not assess proposal intent, fairness, or political legitimacy
  • does not guarantee good outcomes

Futarchy evaluates expected value, as reflected in market prices.
How strongly this signal is weighted alongside other governance considerations is a decision for each DAO.

Learn More