Magma Finance (MAGMA)

Overview

Magma Finance (MAGMA) market snapshot: Price $0.223745, market capitalization $42.51M, and reported 24-hour volume $1.78M.

Trading activity: Reported 24-hour volume equals 4.19% of market capitalization. The local markets snapshot lists Magma Finance, Bitget and Gate among venues with observed trading activity.

YearBull indicators: YearBull Rank #6,930. Bull Score 11/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Mid. Observed price change: 24h -1.38% · 7d -8.18% · 30d -29.18%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-09-21. 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 Magma Finance (MAGMA)?

YearBull Project Summary: Magma Finance (MAGMA) is tracked by YearBull under the source identifier magma-finance. Source categories place the asset in the DeFi Cryptocurrencies universe, with additional labels including Decentralized Finance (DeFi), Automated Market Maker (AMM), Sui Ecosystem. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Magma Finance (MAGMA) project facts

  • Source tags: Decentralized Finance (DeFi), Automated Market Maker (AMM), Sui Ecosystem, Binance Alpha Spotlight
  • Recorded networks: Sui

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

Magma Finance (MAGMA) FAQ

What practical role does MAGMA play in Magma Finance?

Magma Finance is a decentralized exchange and liquidity protocol designed for Move-based blockchains, with its documentation positioning Sui as the primary ecosystem. The system is intended to let users swap assets, create permissionless pools, and provide liquidity without relying on a centralized intermediary. Developers may also integrate Magma liquidity into other applications, such as lending protocols or yield aggregators.

How is the core architecture or operating mechanism of Magma Finance structured?

In Magma’s ALMM design, liquidity is divided among price bins rather than spread continuously across a curve. Each bin represents a discrete price level, and the active bin is the location where current trading occurs. Trades can execute at a fixed price while liquidity remains available in that bin; larger trades move through adjacent bins and therefore experience price impact when they consume successive levels.

How are governance and operational control handled in Magma Finance?

Magma’s public materials describe community governance over matters such as fee structures, asset listings, and future features. The audit scope also includes voter, gauge, and voting-escrow components. At the same time, the project’s documentation does not provide a complete, independently verified picture of voting participation, proposal execution, voter concentration, emergency controls, or the current authority of administrative capabilities.

What does this part of Magma Finance's design mean in practice?

The project documentation describes both CLMM and ALMM designs, but the relative use, liquidity, and activity of each mechanism require ongoing on-chain verification. Concentrated and bin-based liquidity can improve capital efficiency while increasing sensitivity to price movement, inactive ranges, and impermanent loss. Permissionless pool creation can produce fragmented liquidity, thin markets, unsuitable fee settings, or misleadingly active-looking pools.

Magma Finance metric comparison

257 daily observations are available from 2025-12-30 through 2026-09-17. Percentiles compare the latest value with the same-day analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.

MetricCurrent30d ago90d agoChange vs 30dUniverse percentile
Price$0.2173$0.1588$0.4150+36.8%n/a
Market cap$41.19M$30.18M$78.70M+36.5%P94.0
YearBull Rank#3,882#4,023#3,382Improved 141P58.0
Bull Score50/10016/10075/100+34.0 ptsP59.2
Turnover3.72%6.00%10.97%-2.3 ptsP71.5
YB RiskLowLowMediumUnchangedn/a
CycleMidEarlyLateEarly → Midn/a

Median absolute daily movement 4.94%; distance from the highest local daily price -72.8%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.

Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.

Magma Finance (MAGMA) research overview

Magma Finance (MAGMA) is tracked by YearBull under the source identifier magma-finance. Source categories place the asset in the DeFi Cryptocurrencies universe, with additional labels including Decentralized Finance (DeFi), Automated Market Maker (AMM), Sui Ecosystem. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Market structure and supply

Observed market capitalization is about $47.10 million and reported 24 hour volume is about $3.93 million. That volume equals 8.35% of market capitalization in the dated snapshot. Current circulating supply is 190,000,000. The recorded maximum supply is 1,000,000,000. Circulating supply changed 0.0% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.

Key risks and limits

Smart contract faults, oracle dependencies, governance concentration, liquidity migration, incentives, and regulatory access can change protocol usage. High YearBull Risk appeared on 17.1% of stored observations. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.

Primary sources and review scope

YearBull methodology | Official project website. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.

Magma Finance: Sui-Based Trading Infrastructure Built Around Concentrated and Bin Liquidity

Magma Finance is a decentralized exchange application on Sui that combines concentrated-liquidity pools with a bin-based adaptive liquidity model. MAGMA is presented as the project’s governance and incentive token, but the protocol’s practical value depends on pool liquidity, smart-contract execution, governance design, and continued use of the Sui ecosystem.

What Magma Finance does

Magma Finance is a decentralized exchange and liquidity protocol designed for Move-based blockchains, with its documentation positioning Sui as the primary ecosystem. The system is intended to let users swap assets, create permissionless pools, and provide liquidity without relying on a centralized intermediary. Developers may also integrate Magma liquidity into other applications, such as lending protocols or yield aggregators. These are documented protocol capabilities and design goals, not independent evidence that every integration or permissionless market is active at meaningful scale.

The project documentation describes two related market-making approaches. Its concentrated-liquidity market maker, or CLMM, allows liquidity providers to place capital inside selected price ranges. Its adaptive liquidity market maker, or ALMM, organizes liquidity into discrete price bins. This makes Magma better understood as a suite of liquidity mechanisms rather than a single pool formula. The MoveBit audit also describes the reviewed system as a Sui DEX using a Uniswap v3-style concentrated-liquidity model and a ve(3,3)-style gauge system.

How the ALMM model works

In Magma’s ALMM design, liquidity is divided among price bins rather than spread continuously across a curve. Each bin represents a discrete price level, and the active bin is the location where current trading occurs. Trades can execute at a fixed price while liquidity remains available in that bin; larger trades move through adjacent bins and therefore experience price impact when they consume successive levels. This structure is intended to combine automated market making with some of the discrete pricing behavior associated with an order book.

Liquidity providers can select different distribution shapes, including a more uniform spot shape, a curve that concentrates funds near the active price, and an inverse curve that can resemble staggered buying or selling orders. Magma’s documentation also describes a dynamic fee mechanism. Fees combine a base component with a variable component that is intended to rise as volatility, swap frequency, or bin movement increases. The practical trade-off is that narrower or more concentrated positions may use capital more efficiently but can require closer management as prices move outside the selected bins.

CLMM pools and protocol composition

The CLMM system follows a more familiar concentrated-liquidity structure. Providers select a price range and receive a position representing liquidity in that range. Magma’s documentation describes multiple fee tiers for different pair types and says that positions are represented by non-fungible tokens, allowing them to be transferred. The earlier fee documentation states that fees are distributed to liquidity providers on a pro-rata basis in the initial version and identifies a protocol fee, although the applicable parameters may change through later contracts or governance decisions.

The permissionless design creates a useful composability surface but also introduces market-quality risks. Anyone may be able to create pools or list assets, yet a pool can still have thin liquidity, wide effective execution costs, or limited trader interest. Multiple fee tiers, bin steps, and liquidity ranges can also divide liquidity across several venues for the same pair. Users therefore need to evaluate the specific pool and position design rather than treating the existence of a Magma market as evidence of reliable execution.

What MAGMA is used for

The project’s token documentation identifies MAGMA as a Sui token with a maximum supply of 1,000,000,000 and gives the coin type as 0x9f854b3ad20f8161ec0886f15f4a1752bf75d22261556f14cc8d3a1c5d50e529::magma::MAGMA. It presents MAGMA as a governance token for proposing and voting on protocol features, upgrades, and parameters. The same document describes incentive and compensation functions for liquidity providers and a loyalty or access role. These utility descriptions are statements from Magma’s own documentation; the documentation does not by itself establish how extensively each function is currently used or enforced.

The reviewed code and audit materials show additional governance and incentive components, including voter, voting-escrow, gauge, reward, and token modules. This indicates that governance is connected to liquidity incentives rather than being only a discussion forum. However, the audit identified two low-impact findings in the assessed contracts and recorded testing and documentation limitations. A completed audit is evidence of a review at a particular code version and scope, not a guarantee covering later deployments, interfaces, administrative keys, or every economic failure mode.

Governance, dependencies, and practical limits

Magma’s public materials describe community governance over matters such as fee structures, asset listings, and future features. The audit scope also includes voter, gauge, and voting-escrow components. At the same time, the project’s documentation does not provide a complete, independently verified picture of voting participation, proposal execution, voter concentration, emergency controls, or the current authority of administrative capabilities. Those details matter because governance can influence incentives, pool configuration, emissions, and protocol fees.

Magma also depends on Sui’s network, wallets, object model, transaction execution, and surrounding liquidity ecosystem. Users face the normal risks of decentralized exchange activity, including smart-contract defects, incorrect pool configuration, impermanent loss, volatile or depleted liquidity, token-specific risks, and losses caused by interacting with an incorrect contract or interface. The most useful distinction for newcomers is between the protocol’s stated design and its independently verifiable operating record: the former is documented by the project, while the latter requires examining deployed contracts, pool activity, governance execution, and liquidity over time.

Key takeaways

  • Magma Finance is a Sui-based decentralized exchange and liquidity protocol, not the Sui network itself.
  • Its architecture includes both concentrated-liquidity pools and a bin-based adaptive liquidity model.
  • ALMM bins provide discrete price levels, while larger trades can move through successive bins and incur price impact.
  • MAGMA is documented as a governance and incentive token with a stated maximum supply of 1,000,000,000.
  • Governance and gauge contracts connect token-related activity with liquidity incentives and protocol parameters.
  • Audit reports support a reviewed codebase but do not eliminate risks from later versions, integrations, governance, liquidity, or user error.

Risks and open questions

  • The project documentation describes both CLMM and ALMM designs, but the relative use, liquidity, and activity of each mechanism require ongoing on-chain verification.
  • Concentrated and bin-based liquidity can improve capital efficiency while increasing sensitivity to price movement, inactive ranges, and impermanent loss.
  • Permissionless pool creation can produce fragmented liquidity, thin markets, unsuitable fee settings, or misleadingly active-looking pools.
  • The reviewed audits identified low-impact findings and also noted limitations involving test depth, documentation, and out-of-scope components.
  • The current distribution of voting power, practical governance participation, administrative authority, and emergency controls is not fully established by the reviewed sources.
  • MAGMA’s stated loyalty, access, and incentive functions are project claims and should not be treated as proof of current benefits or guaranteed utility.

YearBull Rank timeline

Current YearBull Rank for magma-finance: #6930.

Rank timeline (last 365 days)

Rank change (reference points).

Reading rule: lower is better in this ranking.

  • 7d window (2026-09-14): #726 → #6930 (down by 6204).
  • 30d window (2026-08-22): #5403 → #6930 (down by 1527).

Cycle view: If the line is range-bound, treat changes as relative, not absolute.

Route context: If the line range narrows, access may be stabilizing.

Risk view: If the last month is chaotic, widen the lookback before concluding.

Liquidity view: If the curve is jagged, widen the window before concluding.

YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Treat it as a directional context tool rather than a standalone verdict.

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
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Magma Finance (MAGMA) Markets

Stored venue snapshot. Markets last checked: 2026-09-18. Next refresh window: around 2026-10-18. Venue listings and volumes are stored snapshots, not live quotes.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
Magma Finance MAGMA/USDC $4.02M #266
Bitget MAGMA/USDT $880.40K #6
Gate MAGMA/USDT $496.29K #5
MEXC MAGMA/USDT $240.67K #7
Toobit MAGMA/USDT $162.35K #23
Ourbit MAGMA/USDT $42.93K #18
KCEX MAGMA/USDT $40.08K #50
Cetus MAGMA/SUI $26.94K #215
Turbos Finance MAGMA/SUI $9.31K #246

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality signal; it is not an endorsement or a solvency guarantee.