Continuous market
Torch introduces a novel market structure designed for continuous forecasting of crypto token prices. Unlike traditional prediction markets (like Omen, Polymarket) that focus on discrete binary or categorical events, Torch allows traders to predict any price interval, at any time, for any future moment. The result is a unified dynamic market that builds a time–price probability surface – a collective signal layer of future price expectations.
Most prediction markets today are built around conditional tokens. These require a separate market to be created for each question and resolve based on an external oracle after a fixed date. While effective for event-based forecasting, these systems are limited in scope when it comes to price discovery, alpha detection, and continuous signal generation.
Torch replaces that model with range-based betting and deterministic resolution:
Traders (human or AI) can stake on price ranges at any time, no need to create a new market
Bets are evaluated at the specified future timestamp against the token price, fetched from price oracles
All activity contributes to a shared forecast surface, revealing directional consensus, volatility bands, and speculative imbalance in real time
Market structure
Continuous (price and time intervals)
Discrete binary or categorical
Market structure
Unified, perpetual per token
One market per question
Betting format
Range-based (e.g. $3500–3700 in 3 days)
Fixed outcome tokens (Yes/No, A/B/C…)
Liquidity model
Fully parimutuel, trader-funded
AMM-backed, requires external LPs
Resolution mechanism
Oracle-based, objective token price at timestamp
Oracle-based, often slow or disputed
Use case
Token price forecasting, alpha discovery
Event resolution, binary outcomes
Forecast output
Public probability map (price × time)
Outcome probabilities per market
Participation mode
Open and permissionless
Requires market creation and LP funding
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