Trading activity:
Reported 24-hour volume equals 0.24% of market capitalization. The local markets snapshot lists Raydium among venues with observed trading activity.
YearBull indicators:
YearBull Rank #5,409. Bull Score 49/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Mid. Observed price change: 24h 0.83% · 7d -2.01% · 30d -18.06%.
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 Edwin (EDWIN)?
Source description
“Edwin is on a mission to democratize DeFAI (Decentralized Finance AI) by building the essential infrastructure that bridges artificial intelligence with decentralized finance. The project provides a unified, secure interface that enables AI agents to interact with any DeFi protocol, abstracting away the complexity of blockchain operations and protocol-specific implementations. Through standardized actions and protocol abstractions, Edwin creates a foundation where AI agents can execute sophisticated financial strategies across multiple protocols and chains. We envision a future where autonomous AI agents can seamlessly interact with DeFi protocols, creating a new paradigm of intelligent, efficient, and accessible financial services. This infrastructure is designed to be open-source and community-driven, ensuring that the benefits of DeFAI are accessible to all developers and users who want to participate in this revolutionary convergence of AI and DeFi.”
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.
Edwin (EDWIN) FAQ
How does Edwin simplify AI agents’ interaction with DeFi protocols?
Edwin describes a unified interface that abstracts the complexity of blockchain operations and protocol-specific implementations. Rather than requiring each AI agent to handle every DeFi integration independently, the project states that its infrastructure provides standardized actions and protocol abstractions. This is presented as a way for agents to interact with different decentralized finance protocols through a more consistent development framework.
What role do standardized actions play in Edwin’s DeFAI infrastructure?
According to the project, standardized actions provide a common foundation for AI agents carrying out operations across DeFi. These abstractions are intended to reduce the need for separate implementations for each protocol, helping agents work with varied decentralized finance services through shared interaction patterns. Edwin presents this structure as essential infrastructure for building more sophisticated autonomous financial strategies.
How does Edwin describe cross-protocol and cross-chain strategy execution?
Edwin states that its infrastructure is designed to let AI agents execute financial strategies across multiple DeFi protocols and chains. The project positions its protocol abstractions and unified interface as the layer connecting these different environments. This claimed cross-protocol and cross-chain functionality is intended to support agents that coordinate more complex activities than an interaction limited to a single decentralized application or network.
Who is Edwin’s open-source and community-driven approach intended to support?
The project presents its infrastructure as open-source and community-driven, with the stated goal of making DeFAI accessible to developers and users interested in combining artificial intelligence with decentralized finance. In this framing, developers can build or connect AI agents, while users may participate in the broader ecosystem. These are project-stated goals rather than independently verified outcomes.
What broader financial-services model does Edwin envision for autonomous AI agents?
Edwin describes a future in which autonomous AI agents can interact seamlessly with DeFi protocols and create what it calls a new paradigm of intelligent, efficient, and accessible financial services. Its infrastructure is positioned as the bridge between AI capabilities and decentralized finance, allowing agents to perform more advanced protocol interactions. The project frames this as a long-term vision for DeFAI rather than a confirmed result.
Edwin metric comparison
This comparison is a stored snapshot generated 2026-10-24 06:30 UTC from 271 daily observations available from 2025-12-30 through 2026-10-24. 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
$0.00014357
$0.00017499
$0.00011912
-18.0%
n/a
Market cap
$143.7K
$175.0K
$119.1K
-17.8%
P39.3
YearBull Rank
#5,037
#4,939
#2,984
Lower by 98
P40.2
Bull Score
48/100
35/100
59/100
+13.0 pts
P45.8
Turnover
0.06%
0.10%
0.22%
0.0 pts
P26.5
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Mid
Early
Early
Early → Mid
n/a
Median absolute daily movement 2.87%; distance from the highest local daily price -78.7%; circulating supply change +1.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank overview
Current YearBull Rank for edwin: #5409.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: a smaller rank number indicates stronger placement.
7d window (2026-10-20): #4926 → #5409 (down by 483).
30d window (2026-09-27): #5053 → #5409 (down by 356).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. A smaller rank number indicates a stronger position at that moment.
Risk read: the same move can be stable in one market and fragile in another.
Liquidity context: peer movement can shift relative placement even without news.
Venue context: a tightened venue set can reduce variance or increase it.
Trend context: a quick bounce can still be a mean-reversion phase.
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:
DOGC analysis - nearby market scale in the current dataset.
WORM analysis - nearby market scale in the current dataset.
DEW analysis - shared AI Cryptocurrencies context.
Stored venue snapshot. Markets last checked: 2026-07-27. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
