π₯Clusters Guide
Bundle Risk Index (BRI) - User Guide
π― What is the Bundle Risk Index?
The Bundle Risk Index (BRI) is an advanced analysis system that detects coordinated trading activity in cryptocurrency tokens. It identifies groups of wallets ("clusters") that may be working together to manipulate token prices or create artificial trading volume.

π BRI vs Regular Bundle Analysis
Key Differences from regular bundles
The Bundle Risk Index (BRI) is a significant evolution from the regular bundle scanner:
Analysis Depth
Basic funding connections
Multi-dimensional risk scoring
Temporal Analysis
Not included
Weighted window correlation
Risk Scoring
Simple grouping
0-100% weighted risk scores
Confidence Levels
Not provided
5-tier confidence system
Stealth Detection
Limited
Advanced mixer/obfuscation detection
Cluster Types
Funding only
4 types (Hybrid Strong/Weak, Temporal, Funding)
Behavioral Analysis
Basic
Advanced pattern matching
Performance
Slower
Optimized with caching
False Positive Handling
Minimal
Built-in filters and thresholds
Output Format
Flat groups
Hierarchical risk-based clusters
π How It Works
Detection Methods
The system analyzes multiple dimensions to identify suspicious wallet clusters:
1. Temporal Analysis β±οΈ
Detects wallets that made their first trade within minutes of each other
Identifies synchronized trading patterns
Flags coordinated market entries
Time windows: typically within short periods for high correlation
2. Funding Analysis π°
Traces wallet funding sources back to common origins
Identifies shared funding patterns (CEX, mixers, stealth funding)
Analyzes funding time proximity
Detects sophisticated evasion techniques
3. Behavioral Analysis π₯
Examines trading patterns across wallets
Identifies coordinated holding/selling behavior
Analyzes wallet age and activity history
Detects similar buy amounts and timing
4. Wallet Composition π
Categorizes wallets as:
New Wallets: Created recently (high risk if many)
Sniper Wallets: Specialized in early token purchases
Regular Wallets: Normal trading history
Unknown: Insufficient data
π¨ Risk Scoring System
Overall Risk Score
Each cluster receives a risk score from 0-100%:
π΄ 70-100%: VERY HIGH - Strong evidence of coordination
π‘ 40-69%: HIGH - Likely coordinated activity
π 20-39%: MEDIUM - Some suspicious patterns
π’ 0-19%: LOW/MINIMAL - Normal activity

Risk Factor Breakdown
The total risk score is composed of four weighted factors:
Temporal Score (0-40%): How synchronized are first trades?
Funding Score (0-50%): Do wallets share funding sources?
Wallet Composition Score (0-25%): What types of wallets are involved?
Behavioral Score (0-20%): How similar are trading patterns?

Confidence Levels
Each risk assessment comes with a confidence rating:
β‘ Very High: Multiple strong signals detected
π₯ High: Clear evidence patterns
β οΈ Medium: Notable indicators present
π Low: Weak signals
β Minimal: Insufficient evidence
π― Cluster Types
Hybrid Strong β‘
Both temporal AND funding evidence present
Highest risk category
Strong indication of coordinated activity
Hybrid Weak π
Mixed evidence from multiple sources
Moderate to high risk
Some wallets show temporal correlation, others show funding links
Temporal Only β±οΈ
Wallets traded at nearly the same time
No shared funding detected
Could indicate coordinated buying or coincidence
Funding Only π°
Wallets share common funding sources
No temporal correlation
May indicate same actor or service
π΄ Red Flags to Watch For
Critical Warning Signs:
High New Wallet Percentage (>60%)
Many wallets created just for this token
Strong indicator of artificial activity
Tight Temporal Clustering
Multiple wallets trading within minutes
Suggests automated or coordinated execution
Stealth Funding Techniques π₯·
Wallets using mixer services
Complex funding chains to obscure origins
Multiple hops through intermediate wallets
High Supply Concentration
Top 20 holders control >80% of supply
Risk of price manipulation
Wash Trading Indicators
Groups buying >100% of supply (recycling tokens)
Very low retention rates (<20%)
High volume with minimal price impact
π Understanding the Metrics
Supply Metrics
Supply Bought: Total percentage of token supply purchased by the cluster
Supply Held: Current holdings as percentage of total supply
Retention: Percentage of bought tokens still held
Volume: Total SOL spent by the cluster

Temporal Metrics
Time Span: Minutes between first and last wallet's first trade
Funding Sync: How closely funding times align
Trade Sync: How closely trading times align
Funding Metrics
Funding Sources: Number of unique funding origins
Funding Time: How recently wallets were funded
Connection Type: SOL transfers, token transfers, or both

β οΈ Important Considerations
False Positives
The system may flag legitimate activity in certain cases:
Multiple users withdrawing from the same CEX
Popular wallet services or bots
Coincidental timing during high-activity periods
Data Limitations
Analysis is limited to on-chain data
Recent tokens may have incomplete data
Some sophisticated evasion techniques may go undetected
Best Practices
Never rely on a single metric - Consider the full picture
Verify on-chain - Check wallet activity on Solscan
Consider context - Token age, market conditions, etc.
Look for patterns - Multiple red flags are more concerning
π‘οΈ How to Use BRI for Due Diligence
Step-by-Step Process:
Check Overall Risk Score
Below 20%: Generally safe
20-40%: Proceed with caution
Above 40%: High risk, investigate further
Examine Risk Factors
Which factors contribute most to the score?
Are there stealth funding indicators?
Review Cluster Details
How many wallets are involved?
What percentage of supply do they control?
What's their retention rate?
Investigate Individual Wallets
Click wallet addresses to view on Solscan
Check transaction history
Look for patterns across wallets
Consider Market Impact
Can these clusters dump the price?
Are they still accumulating?
What's their trading pattern?
π Advanced Features
Stealth Detection
The system specifically identifies:
Mixer usage
Multi-hop funding chains
Deliberate obfuscation techniques
Time-delayed funding patterns
Temporal Correlation Scoring
Advanced algorithm that weighs:
Funding-to-trading time gaps
Cluster formation tightness
Cross-wallet synchronization
π Glossary
Bundle: Group of transactions executed together
Cluster: Group of related wallets
Stealth Funding: Techniques to hide funding origins
Temporal Correlation: Time-based relationship between events
Wash Trading: Buying and selling to create fake volume
Sybil Attack: Using multiple wallets to appear as many users
CEX: Centralized Exchange
Mixer: Service that obscures transaction origins
π§ Technical Details
Data Sources
On-chain transaction data from Solana
Token holder snapshots
Historical trading data from DEXs
Funding transfer analysis
Analysis Timeframes
Funding analysis: Up to 100 days historical, with many hops and stealthy funding methods (account seeding, ATA closing, etc) tracked and flagged clearly.
Data refresh: Every 60 seconds (cached)
Performance
Analysis time: Typically 5-30 seconds
Can process up to 10,000 wallets
Analyzes up to 25,000 transactions
β Frequently Asked Questions
Q: What does >100% supply bought mean? A: This indicates wash trading where the same tokens are being bought and sold repeatedly to inflate volume.
Q: How accurate is the risk scoring? A: The system has high accuracy for detecting coordinated activity, but always verify findings with additional research.
Q: Can legitimate trading trigger high risk scores? A: Yes, especially when multiple users withdraw from the same CEX or use the same trading bot.
Q: What should I do if a token has high risk scores? A: Investigate further, check individual wallets, and consider the risk in your investment decision.
Q: How often is the data updated? A: Real-time analysis with 1-minute caching to prevent overload.
π Support & Feedback
For questions, issues, or feedback about the Bundle Risk Index:
Report issues directly to @maroon280 on telegram.
Use
/clusters help
in the bot for quick reference
The Bundle Risk Index is a risk assessment tool. Always conduct your own research and due diligence before making investment decisions.
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