Prediction Market

Prediction Market is a native on-chain market for trading probabilities on future outcomes. Instead of making private guesses, participants express views through open markets, where prices converge into transparent forecasts.

Powered by 1024Chain infrastructure and oracle-based resolution (where applicable), Prediction Market supports a wide range of scenarios, from global events to crypto markets, sports results, and ecosystem milestones.

What you can predict

Event markets

Markets for real-world outcomes, such as:

Elections and political outcomes
Central bank decisions (rate hikes/cuts)
Macroeconomic and regulatory events

Example questions:

Will the Fed cut interest rates at the next FOMC meeting?
Will a specific regulation pass before a given date?

Sports markets

Markets for competitive events, such as:

Match outcomes (win/draw/lose), scorelines
Tournament champions
Playoff outcomes and seasonal rankings

Example questions:

Who will win the 2026 World Cup?
Will Team A advance to the finals?

Price markets

Markets for price levels and time-based outcomes, such as:

BTC/ETH price at expiry
Above/below a target level
Range and threshold outcomes

Example questions:

Will BTC trade above $70,000 in 14 days?
Will ETH stay within $X–$Y until expiry?

Crypto fundamentals markets

Markets for measurable on-chain/protocol milestones, such as:

TVL above/below a target by a date
Active addresses / transactions reaching a milestone
Upgrade shipping by a deadline

Example questions:

Will Protocol X TVL exceed $1B by month-end?
Will Upgrade Y ship before the end of the quarter?

Volatility and range markets

Markets for movement, not direction, such as:

Realized volatility above/below a level
Price stays within a band until expiry
Large move events (e.g., move > 10% in 24h)

Example questions:

Will BTC move more than 10% within the next 24 hours?
Will BTC stay within a defined range until expiry?

Index and basket markets

Markets tied to indices or baskets, such as:

Top 10 crypto index up/down over a period
Sector baskets (L2, AI, DeFi) outperforming others
Dominance outcomes (BTC dominance above/below)

Example questions:

Will the AI sector basket outperform BTC over the next 14 days?
Will BTC dominance rise above X% by expiry?

Governance and proposal markets

Markets for DAO governance outcomes, such as:

Will Proposal #123 pass?
Will a parameter change be approved?

Example questions:

Will Proposal #123 pass with over 50% “Yes” votes?

Product and ecosystem markets

Markets tied to shipping and growth (where resolvable), such as:

Feature launch by a date
User milestones (accounts, wallets, activity)
Integrations and listings (where resolvable)

Example questions:

Will Feature Y launch before the end of this quarter?
Will the ecosystem reach 1M wallets by month-end?

Community sentiment markets

Markets based on measurable public signals (where applicable), such as:

Social trend ranking thresholds
Engagement milestones (followers, mentions)
Attention rotation across sectors

Example questions:

Will Project Z reach 100k followers by the end of the month?

How it works

Market creation
- A market is created with clear outcomes (e.g., Yes/No or multi-outcome), an expiry, and explicit resolution rules.
Trading outcome shares
- Users buy and sell outcome shares based on belief.
- Prices reflect implied probability and update as participants trade.
Resolution
- After expiry, the market resolves based on the defined rules and oracle inputs (where applicable).
Settlement
- Winning positions settle automatically on-chain after resolution.
- Market states and settlement outcomes are transparent and auditable.

Resolution and oracle model

Prediction markets depend on clear resolution rules. Each market should define:

The outcome set (Yes/No, multiple choices, ranges)
The resolution source (oracle feed, index, verifiable data endpoint, on-chain metric)
The resolution time and fallback behavior (e.g., delays, disputes, or safe-mode rules where applicable)

1024Oracle can be used to support high-frequency, low-latency data needs for market resolution and settlement (where applicable). The provider set and methodology may vary by market type.