Understanding Risk Scores
Oracled provides quantified risk assessments to help you make informed decisions. This guide explains how to interpret risk scores and what they mean for your investment strategy.
Risk Score Levels
🟢 LOW RISK
What it means:
Token shows strong positive indicators
Minimal red flags detected
Generally safer for investment
Lower probability of rugpull or scam
Typical characteristics:
Decentralized holder distribution (top 10 < 20%)
Locked liquidity >10% of market cap
Contract ownership renounced
Verified, audited contract
Active, transparent community
Consistent trading patterns
No suspicious wallet activity
Investment considerations:
Suitable for most risk tolerances
Still requires due diligence
Monitor for changes
No guarantee of profits
🟡 MEDIUM RISK
What it means:
Mixed signals detected
Some concerns present
Requires careful evaluation
Moderate investment caution advised
Typical characteristics:
Moderate concentration (top 10 = 20-40%)
Liquidity 5-10% of market cap
Some contract concerns
New token (<7 days old)
Limited social validation
Recent volatility
Unclear team information
Investment considerations:
Acceptable for experienced traders
Smaller position sizes recommended
Close monitoring required
Have exit strategy ready
🔴 HIGH RISK
What it means:
Significant red flags present
High probability of problems
Danger of loss
Extreme caution or avoidance advised
Typical characteristics:
Highly concentrated (top 10 > 50%)
Low/unlocked liquidity (<5%)
Dangerous contract permissions
Honeypot indicators
Anonymous or absent team
Suspicious trading patterns
Known scam indicators
Investment considerations:
Avoid unless expert with tiny allocation
Assume high loss probability
Exit quickly if entering
Not suitable for most investors
Risk Factors Analyzed
Holder Distribution (Weight: 25%)
What's analyzed:
Percentage held by top 10 wallets
Percentage held by top 20 wallets
Number of unique holders
Holder growth trends
Why it matters:
High concentration = dump risk
Few holders = manipulation potential
Declining holders = red flag
Growing holders = positive sign
Scoring:
🟢 Top 10 < 20%, growing holders
🟡 Top 10 = 20-40%
🔴 Top 10 > 50%, declining holders
Liquidity Analysis (Weight: 20%)
What's analyzed:
Total liquidity in USD
Liquidity-to-market-cap ratio
Lock status and duration
LP provider count
Why it matters:
Low liquidity = hard to sell
Unlocked = rug pull risk
Concentrated LP = control concerns
Declining liquidity = warning
Scoring:
🟢 >10% market cap, locked 6+ months
🟡 5-10% market cap, short lock
🔴 <5% market cap, unlocked
Contract Security (Weight: 20%)
What's analyzed:
Ownership status (renounced?)
Mint authority (disabled?)
Freeze functions
Hidden functions
Upgrade mechanisms
Why it matters:
Unrenounced = dev control
Mint authority = inflation risk
Freeze = honeypot potential
Hidden functions = unknown risks
Scoring:
🟢 Renounced, verified, safe
🟡 Some permissions, verified
🔴 Dangerous permissions, honeypot
Trading Patterns (Weight: 15%)
What's analyzed:
Volume consistency
Buy/sell pressure
Transaction frequency
Whale activity
Bot detection
Why it matters:
Manipulation indicators
Artificial volume
Coordinated dumps
Bot trading patterns
Scoring:
🟢 Organic, consistent patterns
🟡 Some irregularities
🔴 Clear manipulation signs
Social & Community (Weight: 10%)
What's analyzed:
Social media presence
Community engagement
Team transparency
Development activity
Why it matters:
Anonymous teams = risk
Inactive community = abandonment
No social = potential scam
Engagement = legitimacy indicator
Scoring:
🟢 Active, transparent, engaged
🟡 Limited but present
🔴 Absent or suspicious
Token Age & History (Weight: 10%)
What's analyzed:
Time since launch
Price history
Holder retention
Previous incidents
Why it matters:
New = higher risk
History = track record
Retention = satisfaction
Incidents = warning signs
Scoring:
🟢 >30 days, clean history
🟡 7-30 days
🔴 <7 days or incidents
Interpreting Risk Assessments
Reading the Full Report
Risk Score Section
Risk Level: MEDIUM 🟡
Confidence: High
Based on: 12 factors analyzedRisk Level: Overall assessment
Confidence: Data quality/completeness
Factors: Number of metrics evaluated
Red Flags Specific concerns listed:
🚩 Critical issues (immediate concern)
⚠️ Warning signs (caution advised)
👀 Watch items (monitor closely)
Green Flags Positive indicators:
✅ Strong positives
👍 Good signs
📈 Improving metrics
Context Matters
Same risk score, different scenarios:
Scenario 1: MEDIUM Risk - Acceptable
30-day old memecoin
Growing community
Moderate whale concentration
Good liquidity, locked
→ Manageable risks for experienced trader
Scenario 2: MEDIUM Risk - Concerning
2-day old token
Declining holders
Unlocked liquidity
Anonymous team
→ Too many unknowns, avoid
Always read the full analysis!
Risk Score Changes
Improving Scores
Factors that can improve risk:
Time passing (token aging)
Liquidity additions/locking
Holder distribution improving
Positive developments
Community growth
Worsening Scores
Factors that increase risk:
Liquidity removal
Whale accumulation
Holder departures
Negative news
Contract changes
Monitoring
Ask Oracled:
"How has the risk score for [address] changed
over the past week?"Track changes to spot trends.
Using Risk Scores in Decisions
For Conservative Investors
Strategy:
Focus on 🟢 LOW risk only
Require locked liquidity
Prefer established tokens (>30 days)
Small position sizes
Exit on risk increases
Acceptable profile:
LOW risk score
All green flags present
No critical red flags
Growing metrics
Transparent team
For Moderate Risk Takers
Strategy:
Accept 🟡 MEDIUM risk
Evaluate specific concerns
Diversify across multiple tokens
Set stop losses
Monitor regularly
Acceptable profile:
MEDIUM risk acceptable
Understand specific risks
Have mitigation plan
Can handle volatility
Quick exit capability
For Aggressive Traders
Strategy:
May take 🔴 HIGH risk
Very small allocations only
Quick entry/exit
Constant monitoring
Accept high loss probability
Acceptable profile:
Fully understand risks
Micro positions only
Expert knowledge
Can afford total loss
Trading not investing
Red Flags Hierarchy
Critical (Never Ignore)
🚩 Honeypot detected - Cannot sell 🚩 Single wallet >50% - Massive dump risk 🚩 Unlocked liquidity + withdraw function - Instant rug 🚩 Hidden mint function - Inflation attack 🚩 Known scam pattern - Proven fraud
Action: AVOID
Major (High Concern)
⚠️ Top 10 hold >40% - Concentration risk ⚠️ Liquidity <5% market cap - Exit problems ⚠️ Unrenounced ownership - Dev control ⚠️ Declining holder count - Abandonment ⚠️ Zero social presence - Likely scam
Action: Extreme caution or avoid
Minor (Watch Closely)
👀 New token (<48h) - Insufficient data 👀 Moderate concentration - Monitor 👀 Short liquidity lock - May unlock soon 👀 Limited social - Early stage 👀 High volatility - Risky trades
Action: Acceptable with awareness
Limitations of Risk Scores
What Scores DO
✅ Quantify observable risk factors ✅ Identify red/green flags ✅ Compare tokens objectively ✅ Provide data-driven assessment ✅ Alert to danger signs
What Scores DON'T DO
❌ Predict future prices ❌ Guarantee safety ❌ Detect novel scams ❌ Account for black swans ❌ Replace your judgment
Always Remember
Low risk ≠ guaranteed profit
High risk ≠ certain loss
Markets are unpredictable
Scores based on current data
Can change rapidly
Do your own research (DYOR)
Practical Examples
Example 1: Token A
Risk Score: LOW 🟢
Factors:
✅ Top 10 hold 15%
✅ Liquidity 12% MC, locked 6 months
✅ Contract renounced, verified
✅ 2,500 holders, growing
✅ Active community
✅ 45 days old, stable
Interpretation: Relatively safe for moderate allocation
Example 2: Token B
Risk Score: MEDIUM 🟡
Factors:
⚠️ Top 10 hold 35%
✅ Liquidity 8% MC, locked 1 month
✅ Contract verified
⚠️ 450 holders
⚠️ 5 days old
👀 Limited social
Interpretation: Acceptable for small position with monitoring
Example 3: Token C
Risk Score: HIGH 🔴
Factors:
🚩 Top wallet holds 55%
🚩 Liquidity 3% MC, unlocked
⚠️ Ownership not renounced
⚠️ 85 holders, declining
🚩 No social media
⚠️ 18 hours old
Interpretation: AVOID - multiple critical issues
Best Practices
Always Check Risk Score: Before any investment
Read Full Analysis: Not just the score
Understand Why: Know which factors matter
Monitor Changes: Risk evolves over time
Combine with Research: Use as one data point
Match Risk Tolerance: Align with your comfort
Size Accordingly: Higher risk = smaller position
Have Exit Plan: Especially for medium/high risk
Cross-Reference: Verify with other tools
Trust Your Gut: If something feels off, it probably is
Next Steps
Learn Analysis Techniques: Analyzing Tokens
Master the Chat: Using the Chat Interface
Review Best Practices: Tips and Best Practices
Understand AI Training: AI Model Training
Get your first risk assessment: Visit oracled.xyz and analyze a token!
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