Our scores
Our scoring system is designed to provide users with a comprehensive and efficient way to evaluate crypto tokens.
Key Benefits:
Simplified Token Analysis: Our scoring system provides an easy-to-understand overview when analyzing a specific token, saving users time and effort.
Effortless Discovery Hub Filtering: The scores eliminate the need to apply multiple filters in specific categories, streamlining the token discovery process.
Each token is evaluated across four primary categories:
Security
Liquidity
Socials
Trading
This structure ensures users can take a more granular approach when searching for and comparing tokens.
The scoring system uses a 1–5 scale, providing a clear and intuitive rating for each category:
5: Excellent
4: Good
3: Mediocre
2: Bad
1: Terrible
This framework helps users quickly identify the strengths and weaknesses of a token across various key aspects.
Our score evaluation process constantly improves to ensure accuracy, reliability, and alignment with the latest market trends and user needs. Feedback and new insights are regularly incorporated to enhance the scoring methodology. The following chapters describe the main metrics we use to calculate the score.
The score's calculation is not detailed to avoid giving scammers insight into the mechanisms they could exploit. If we provide too much detail about the specific checks or thresholds, malicious actors might manipulate their tokens to bypass the system and appear safer than they are.
If you have any questions or feedback about our scoring system, feel free to contact us on our Telegram channel: https://t.me/blokiments_public
Security Score
The Blokiments security score assesses the risk associated with investing in a particular token. It evaluates various security factors, such as the potential for scams, token contract behavior, and other warning signals provided by multiple security providers. Each token is analyzed using a set of checks, and the score dynamically adjusts based on the findings.
All detected scams are automatically removed from the filtering results in the Discovery Hub (we are doing our best to remove as many scams as possible, but it is never possible to remove all, so doing your own research is always important before buying a token).
Key Factors Assessed:
Contract Verification
Honeypot Detection
Tax Structure
Ownership Renouncement
Token Deployer History: The deployer’s history is assessed, including whether the deployer has created numerous tokens.
Minting and Proxy Contracts
Deployer’s Scam History: The system checks for historical scam reports linked to the deployer or associated addresses. If found, the token is marked with a severe warning.
Creation Timestamp: Newly created tokens are more prone to scams.
External Scanners and Security Reviews: The score integrates data from third-party security providers
Our manual scam database
Detection of suspicious patterns in a token lifecycle
The score reflects the available data and the checks performed during analysis, but it may not account for all potential risks, especially in rapidly changing or highly sophisticated scenarios. Scammers may also find new ways to bypass certain detection methods, and as a result, the security score might occasionally fail to identify every threat or flag token incorrectly.
The security score system uses a simple rating scale to help users quickly understand the risk level associated with a token. The scale ranges from 1 (Terrible) to 5 (Excellent), providing a clear overview of the token's safety based on several risk factors. Here's a breakdown of each category:
TERRIBLE (1):
Tokens in this category are highly risky and are often identified as scams or major threats. They may exhibit multiple red flags, such as unverified contracts, honeypot behavior, high trading taxes, or repeated scam activity. Users are strongly advised to avoid interacting with these tokens.
BAD (2):
Tokens classified as "Bad" are highly suspicious, with several potential risk indicators. While not confirmed as outright scams, they display characteristics that raise serious concerns. Extreme caution is recommended.
MEDIOCRE (3):
These tokens fall into a gray area where some risk factors are present but may not be immediately harmful. Users should be cautious but not necessarily avoid them outright.
GOOD (4):
Tokens rated as "Good" show positive security signals. They are verified, exhibit no major red flags, and operate as expected. However, minor concerns, such as certain risky functions or relatively short trading history, may warrant attention.
EXCELLENT (5):
These tokens are considered secure, with all checks returning favorable results. However, even with an excellent security score, checking other data like liquidity, trading activity, and socials is always important.
Liquidity Score
The Liquidity Score system is designed to evaluate the health and reliability of a token's liquidity on a blockchain. It quantifies risks associated with liquidity parameters, enabling traders and analysts to make informed decisions. The system integrates several data points, calculates a score, and provides a review summarizing key insights.
Key Factors Assessed:
The Liquidity Score system assesses the following critical factors to ensure robust evaluation:
Token Age and New Token Risk
Total Liquidity
Liquidity Lock Providers
Evaluates the reputation and reliability of liquidity lock providers, categorizing them as:
Good Providers: Enhance liquidity safety.
Neutral Providers: Neutral impact.
Bad Providers: Increase risk.
Liquidity Lock and Burn:
Examines whether at least X% of liquidity is locked or burned for a minimum of X days.
Review scenarios where liquidity is unlocked sooner or not locked at all.
Liquidity Share Distribution:
Assesses whether the deployer or related wallets hold more than X% of liquidity tokens, indicating centralization risks.
Liquidity Burned Percentage:
Measures the percentage of liquidity permanently removed from circulation to ensure immutability and trust.
Social Score
The Social Score system evaluates a crypto token's social presence and engagement. It integrates multiple social media, web, and community indicators to generate a comprehensive score that reflects the token's social visibility and reliability.
The Social Score is generated using the following key criteria:
Twitter
Checks for the existence and status of the Twitter account.
Evaluates the number of followers and activity level (posts).
Considers verification status and other potential issues.
Telegram
Assesses the size and engagement of the Telegram community based on group membership.
Webpage
Verifies whether the token has an active and secure webpage.
Token Details
Checks for essential token information, such as a logo, description, and whitepaper availability.
Discord
Evaluates the presence of an active Discord link to gauge community engagement.
GitHub or Bitbucket
Review code repository links to determine transparency and development activity.
Other Social Media
Considers presence on platforms like Instagram, Medium, and Reddit.
Listings
Checks for the token's listing on major aggregators like CoinGecko and CoinMarketCap.
Callers and Promotions
Incorporates activity from social influencers or callers.
Other external metrics
Trading Score
The Trading Score system evaluates a token's trading behavior's health, reliability, and activity.
Key Factors Assessed
The Trading Score system evaluates the following critical parameters:
Buyers Behavior:
Rewards tokens with a higher number of active buyers. Penalizes tokens with a lack of trading participants.
Seller Behavior:
Identifies tokens with no sellers or a minimal number of sellers, flagging potential honeypots.
Experienced Buyers and Smart Money Traders:
Scores positively for tokens with experienced or smart money buyers, indicating confidence and interest from informed investors.
Whale Wallet Distribution:
Detects centralization by analyzing the percentage of tokens held by the largest wallets.
Penalizes tokens with high centralization.
Trading Activity:
Evaluates activity over time (e.g., last 7 days or 30 days).
Penalizes tokens with no trading activity, signaling low market interest.
Volume and Market Cap:
Scores higher for tokens with significant trading volume and market cap.
Flags potential manipulation when high trading volumes coincide with low trade counts.
Holders Distribution:
Rewards tokens with a higher number of holders, suggesting widespread adoption.
Net Buyer and Volume Changes:
Assesses recent trends in buyer participation and trading volume.
Price change and price trend
Blokiments Score
The Blokiments score filter allows you to filter pairs based on our in-house calculated score. The score aggregates a pair's security, liquidity, trading, and social scores. A score of 0 indicates a very bad pair and should not be bought. While a score of 100 is the best possible score.
By only using this score, you can achieve great results in finding new gems. The score constantly improves under the hood to provide the best possible results.
Pro tip: Try to filter pairs with the Blokiments score bigger than 70 and sort them by new buyers on the last day.
Value
Integer (0-100), ex. 75
Operators
≥, ≤, =
Time ranges
None
2
Is sortable
True
The Blokiments score is automated and is not always completely accurate. A token with a high score may still have hidden malicious code. The score is not advice and should be considered along with other factors. Always do your research and consult multiple sources of information. Results are regenerated every few minutes.
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