Trading activity:
Reported 24-hour volume equals 0.00% of market capitalization. The local markets snapshot lists Aerodrome (Base), Aerodrome SlipStream and Uniswap V4 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #4,663. Bull Score 60/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 1.61% · 7d -4.17% · 30d 4.78%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-27.Data history: 90 days available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is SIRE (SIRE)?
Source description
“SIRE is the world's first agentic DeFAI on-chain sports-betting hedge fund, powered by Bittensor Subnet 44. SIRE transforms sports intelligence into deployable edge through a self-learning quantitative engine that finds market inefficiencies and routes them into two core products: αVault – On-chain vaults where anyone can deposit USDC to run fully automated betting strategies and earn uncorrelated yield. αLink – A token-gated LLM terminal giving holders direct access to model outputs, mispricing alerts, and risk-adjusted strategies they can execute themselves. SIRE makes institutional-grade sports intelligence permissionless, automated, and accessible to everyone. It aligns users, stakers and the protocol in a self-sustaining flywheel where performance fees and buybacks turn execution into network value. SIRE turns every match into a yield opportunity. No quant background required. SIRE taps into Bittensor Subnet 44 through the Score Vision Layer, also known as the Optic Nerve of AI. Subnet 44 transforms video into quantifiable data at a massive scale, enabling AI to understand visual information.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
SIRE (SIRE) FAQ
How does SIRE say its quantitative engine identifies sports-betting opportunities?
The project says its self-learning quantitative engine analyzes sports data to find market inefficiencies and convert them into deployable betting strategies. SIRE presents this process as a way to turn sports intelligence into risk-adjusted execution, although it does not specify the model architecture, historical performance methodology, or criteria used to determine whether an identified opportunity represents a sustainable edge.
What role does αVault play in SIRE’s ecosystem?
αVault is presented as an on-chain vault product where users can deposit USDC and allow SIRE’s strategies to operate on their behalf. The project says these strategies are fully automated and aim to produce yield that is less correlated with conventional markets. SIRE does not specify the vault fee structure, withdrawal terms, custody arrangements, or any guarantee regarding returns.
What does SIRE’s αLink terminal offer token holders?
αLink is described as a token-gated LLM terminal for holders of SIRE. According to the project, it provides access to model outputs, alerts about potential mispricing, and risk-adjusted strategies that users may execute themselves. The project does not specify the access threshold, subscription mechanics, supported betting venues, or how the terminal’s recommendations are independently evaluated.
How does Bittensor Subnet 44 fit into SIRE’s sports-data process?
SIRE says it connects to Bittensor Subnet 44 through a component called the Score Vision Layer, which it also calls the “Optic Nerve of AI.” The project presents this layer as a system that turns video into quantifiable data at scale, allowing models to interpret visual information for sports intelligence. The precise data pipeline and subnet participation mechanics are not specified.
How does SIRE describe value flowing between users, stakers, and the protocol?
The project positions performance fees and token buybacks as mechanisms that connect execution with network value. It describes this arrangement as a self-sustaining flywheel intended to align users, stakers, and the protocol as strategies operate. SIRE does not specify the fee percentages, buyback schedule, distribution rules, or governance process governing these mechanisms.
SIRE metric comparison
This comparison is a stored snapshot generated 2026-10-22 06:31 UTC from 292 daily observations available from 2025-12-30 through 2026-10-22. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.0122
$0.0118
$0.0491
+3.6%
n/a
Market cap
$257.1K
$248.2K
$1.03M
+3.6%
P48.1
YearBull Rank
#4,626
#9,188
#5,084
Improved 4,562
P45.7
Bull Score
57/100
14/100
26/100
+43.0 pts
P66.2
Turnover
0.41%
0.01%
0.08%
+0.4 pts
P46.5
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 2.70%; distance from the highest local daily price -94.4%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
Current YearBull Rank for draiftking: #4663.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: lower numbers mean higher placement.
7d window (2026-10-20): #5404 → #4663 (up by 741).
30d window (2026-09-27): #8622 → #4663 (up by 3959).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers correspond to stronger relative placement.
Downside posture: consistency often matters more than speed.
Liquidity context: peer movement can shift relative placement even without news.
Venue context: a tightened venue set can reduce variance or increase it.
Cycle read: a single week rarely defines a phase on its own.
Practical note: rank is best used for relative context, not certainty.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-07-26. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
