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Archalis Radar rating methodology

Version 3, October 17, 2026.

Archalis Radar rates every BNB Chain token from AAA to C, the way credit rating agencies rate bonds. The rating measures how likely it is that a buyer loses their money for structural reasons: a rigged contract, liquidity that can be pulled, fake volume, creators with a track record of rug pulls. It does not measure upside and it is not investment advice.

Two outcomes are not grades:

All assessments are automated and based only on public blockchain data that anyone can verify.

Scale

RatingMeaningClass
AAAprimeinvestment grade
AAvery high qualityinvestment grade
Ahigh qualityinvestment grade
BBBgood qualityinvestment grade
BBspeculativespeculative
Bhighly speculativespeculative
CCCsubstantial riskjunk
CCvery high riskjunk
Cnear defaultjunk
Ddefault: rug pulldefault
SCAMconfirmed scam patternscam

Candidate ratings

A token younger than 24 hours receives a candidate rating, for example "candidate CC". It is too young to tell whether it is a scam: many rug pulls happen within the first hour. The rating becomes final once the token passes its first day without incidents. Candidate ratings are shown with a dashed badge.

SCAM label

A token is labeled SCAM, instead of being graded, when at least one of these patterns is confirmed:

What counts as a rug pull

A pool whose liquidity falls by 70% or more from its peak is examined transaction by transaction. For every unit of BNB or stablecoin that left the pool we establish how it left:

It is a rug pull (default, rating D) when liquidity pulled and insider sales together account for at least half of the peak. Insider selling is a rug pull even when the LP tokens are burned or locked: a new token starts entirely in its creator's hands, and whatever is not put into the pool can be passed to other wallets and dumped later.

Otherwise it is a price crash: ordinary market selling. Price crashes are reported separately and are not defaults.

The same analysis covers V2 and V3 pools. When most of a price crash comes from one group of wallets funded by the same wallet, the report shows it, but it is not counted as a default unless that group is linked to the creator.

How grades are computed

1. Six pillars

Each pillar is scored from 0 to 100. The rating score is the weighted average.

PillarWeightWhat it measures
Contract25%Real buy, transfer and sell simulation (honeypots, effective taxes). Owner powers: minting, blacklisting, changing taxes, halting trading. Upgradable contracts.
Liquidity25%Market depth in dollars and, above all, who controls the pool's LP tokens: burned, locked long-term in a recognized locker, or held by the creator (who can pull them at any time).
Distribution15%Share of the supply held by the creator or the owner, or kept outside the pool at launch (whoever holds it now).
Genuine volume15%Share of transactions produced by known volume bots and number of distinct recipients. New pools are assessed at launch, older ones on recent activity.
Reputation10%Launch tool used. Creator history. Network of linked wallets (shared bots, cross launches, common funders) and its rug pulls.
Track record10%Market age and dangerous changes observed after launch.
Score≥ 90≥ 82≥ 74≥ 65≥ 55≥ 45≥ 35≥ 25< 25
RatingAAAAAABBBBBBCCCCCC

2. Rating ceilings

As with the "rating ceilings" used by agencies, some weaknesses cap the maximum rating whatever the average: a great score elsewhere does not offset a structural risk.

ConditionMaximum rating
Creator in a wallet network with rug pullsCCC
Liquidity can be pulled at any time (LP tokens in wallets)B
Still launching (four.meme bonding curve)B
Volume mostly generated by botsB
Liquidity below $10,000B
Liquidity below $50,000BB
Simulation not run, contract upgradable by its owner, or market age not verifiedBB
LP control not verifiable (V3 pool or partly reconstructed holders), liquidity below $10 millionAA
Token younger than 30 dayssee "Young tokens" below

3. Young tokens: a ladder calibrated on observed rug pulls

For tokens younger than 30 days, the pillar score alone does not tell which ones will rug: scammers use clean contracts and lock their liquidity for show. What does separate them, in the data, is the creator's network and the time a pool has survived without incidents. Over the first day of data (October 16-17, 2026, BNB Chain pools with at least $1,000 of liquidity):

PoolsEnded in a rug pull
From creators linked to past rug pulls, or launched with the serial rug-pull service100%
All others, at launch88%
All others, still alive after 30 minutes71%
All others, still alive after 1 hour30%
All others, still alive after 3 hoursnone of 6

So a young token's rating cannot go above:

ConditionMaximum rating
Creator linked to past rug pulls, or creator who already pulled liquidityC
Less than 1 hour oldCC
Less than 3 hours oldCCC
Less than 24 hours oldB
Less than 7 days oldBB
Less than 30 days oldBBB

The rating rises on its own as the token survives: every new pool is re-rated at 5, 15, 30 and 60 minutes and at 3, 6, 12 and 24 hours. Grades are meant to match bands of observed rug-pull probability: C above 95%, CC 70 to 95%, CCC 30 to 70%, B 10 to 30%, BB below 10%. The thresholds are reviewed as data grows; the lower bands rest on few cases so far.

4. Outlook

Updates

Every new pool is rated at birth and then re-rated:

Established tokens are BNB Chain tokens with at least $100,000 of liquidity on the DEXes the radar reads and at least 7 days of history: the top 1,500 by market cap in the BNB Chain category, the most traded of the day, and any established token analyzed on request. The most traded are re-rated every 30 minutes, the others every 6 hours. Watched tokens are re-checked continuously.

Validation

Default rates count only ratings given with the current version of the method (version 3, since October 17, 2026), so that results are never mixed with an older, less accurate scale.

A rating is judged by its results. For each grade the radar publishes the default rate: the share of tokens that ended in a rug pull after receiving that rating at their first analysis. Price crashes are shown next to it but are not counted as defaults. Only the first rating is used, with no hindsight. It is the same kind of evidence traditional rating agencies publish.

Known limits