Token Analysis
Oracled's token analysis capabilities are at the core of its value proposition. Our AI-powered platform analyzes cryptocurrency tokens across multiple dimensions to provide comprehensive, data-driven insights that help you make informed decisions.
Overview
Token analysis on Oracled combines:
AI-Powered Intelligence: Trained on 72,000+ tokens
Real-Time Data: Live feeds from multiple sources
Multi-Factor Assessment: Dozens of metrics evaluated
Risk Scoring: Quantified risk levels with explanations
Comparative Analysis: Benchmarking against similar tokens
Analysis Components
1. Basic Token Information
Every analysis starts with fundamental data:
Token Identity
Token name and ticker symbol
Contract address (verified)
Blockchain network (Solana, Ethereum, etc.)
Token standard (SPL, ERC-20, etc.)
Creation date and age
Market Metrics
Current price in USD
Market capitalization
Fully diluted valuation (FDV)
24-hour trading volume
Volume-to-market-cap ratio
Supply Information
Total supply
Circulating supply
Max supply (if applicable)
Burned tokens (if any)
Mint authority status
2. Liquidity Analysis
Critical for understanding token tradability:
Liquidity Pool Data
Total liquidity in USD
Liquidity pool composition
Liquidity-to-market-cap ratio
Number of liquidity providers
Liquidity lock status and duration
Trading Dynamics
Buy vs. sell pressure
Slippage estimates for different trade sizes
Price impact analysis
Depth of order book
Exchange liquidity distribution
Liquidity Health Indicators
🟢 Healthy: Liquidity > 10% of market cap, locked
🟡 Moderate: Liquidity 5-10% of market cap
🔴 Risky: Liquidity < 5% of market cap, unlocked
3. Holder Distribution Analysis
Understanding who owns the tokens:
Holder Statistics
Total number of holders
Top 10 holder concentration
Top 20 holder concentration
Developer/team wallets identified
Exchange holdings (if applicable)
Distribution Patterns
Whale concentration analysis
Distribution curve evaluation
Recent holder growth trends
Active vs. passive holders
Wallet age distribution
Risk Indicators
🟢 Decentralized: Top 10 hold < 20%
🟡 Moderate: Top 10 hold 20-40%
🔴 Centralized: Top 10 hold > 40%
4. Trading Activity
Analyzing market behavior:
Volume Analysis
24-hour volume trends
Volume by exchange/DEX
Volume consistency over time
Volume spikes and patterns
Buy vs. sell volume ratio
Transaction Patterns
Number of transactions (24h/7d/30d)
Average transaction size
Unique buyers vs. sellers
Transaction frequency
Bot activity indicators
Price Action
Price change (24h/7d/30d)
All-time high and distance from ATH
Support and resistance levels
Volatility metrics
Correlation with market trends
5. Smart Contract Security
Evaluating contract safety:
Contract Features
Ownership status (renounced or not)
Mint function (enabled/disabled)
Freeze authority
Transfer restrictions
Tax mechanisms
Security Checks
Contract verification status
Known vulnerability scans
Honeypot detection
Malicious function identification
Upgrade mechanism (if any)
Trust Signals
✅ Ownership renounced
✅ Mint authority revoked
✅ Liquidity locked
✅ Contract verified
⚠️ Any concerning permissions
6. Social & Community Metrics
When available, social indicators:
Social Presence
Twitter/X followers and engagement
Telegram/Discord member counts
Recent social activity
Community sentiment
Influencer involvement
Development Activity
GitHub commits (if applicable)
Team transparency
Roadmap progress
Communication frequency
Documentation quality
7. On-Chain Metrics
Deep blockchain analysis:
Transaction Analysis
Unique wallet interactions
Transfer patterns
Accumulation vs. distribution
Whale movements
Exchange inflows/outflows
Token Velocity
How quickly tokens change hands
Average holding period
Active circulation percentage
Stagnant wallet detection
Network Effects
Growing vs. shrinking holder base
New wallet onboarding rate
Holder retention metrics
Network value indicators
Risk Assessment Framework
Risk Score Calculation
Oracled assigns risk scores from multiple factors:
HIGH RISK (🔴)
Top holders control >50% of supply
Unlocked liquidity or very low liquidity
Contract has dangerous permissions
No social presence or anonymous team
Suspicious trading patterns
Known scam indicators
MEDIUM RISK (🟡)
Top holders control 30-50% of supply
Moderate liquidity (5-10% of market cap)
Some concerning contract features
Limited social validation
New token with short track record
Moderate volatility
LOW RISK (🟢)
Decentralized holder distribution (<30% top 10)
Strong, locked liquidity (>10% of market cap)
Safe contract (renounced, verified)
Active community and transparent team
Proven track record
Stable trading patterns
Red Flags
Automatic detection of warning signs:
Critical Red Flags (Immediate concern)
🚩 Honeypot contract detected
🚩 Rug pull pattern identified
🚩 Single wallet holds >50%
🚩 Hidden mint function
🚩 Cannot sell (honeypot)
🚩 Unlocked liquidity with withdraw function
Warning Flags (Proceed with caution)
⚠️ Very new token (<24 hours old)
⚠️ Low holder count (<100)
⚠️ No social media presence
⚠️ Anonymous team
⚠️ Unusual trading patterns
⚠️ Declining holder count
Green Flags (Positive indicators)
✅ Liquidity locked for >6 months
✅ Contract ownership renounced
✅ Growing holder base
✅ Active community engagement
✅ Transparent team
✅ Consistent development
Pump.fun Specific Analysis
For Pump.fun tokens, additional metrics:
Bonding Curve Status
Pre-Graduation
Current progress on bonding curve (%)
Market cap needed for graduation
Estimated time to graduation (if trends continue)
Trading activity on bonding curve
Holder growth rate
Post-Graduation
Graduation date and market cap at graduation
Performance since graduation
Raydium liquidity pool status
Migration success indicators
Pump.fun Metrics
Creator wallet activity
Initial liquidity provided
Early buyer behavior
Graduation success rate comparison
Similar token benchmarking
Analysis Depth Levels
Quick Assessment (5-10 seconds)
Basic overview including:
Current price and market cap
Risk score
Top 3 concerns or strengths
Simple recommendation
Standard Analysis (10-20 seconds)
Comprehensive report with:
All basic metrics
Risk assessment with reasoning
Holder distribution analysis
Liquidity evaluation
Comparison to similar tokens
Specific recommendations
Deep Dive (20-30 seconds)
Extensive analysis featuring:
Complete multi-factor assessment
Historical performance context
Detailed contract security review
Social sentiment analysis
Competitive positioning
Investment thesis evaluation
Comparative Analysis
Benchmarking
Compare tokens against:
Similar Market Cap: Tokens in same size range
Same Category: Other memecoins, utility tokens, etc.
Time Period: Tokens launched in similar timeframe
Platform: Other Pump.fun or DEX tokens
Custom Selection: User-specified comparisons
Performance Metrics
Compare across dimensions:
Price performance (24h/7d/30d)
Holder growth rates
Liquidity depth
Trading volume
Risk scores
Community metrics
How to Request Analysis
Basic Token Analysis
Simply provide the contract address:
Analyze this token: 7xKXtg2CW87d97TXJSDpbD5jBkheTqA83TZRuJosgAsUFocused Analysis
Request specific aspects:
Check the risk level and holder distribution for:
[contract address]Comparative Analysis
Compare multiple tokens:
Compare these tokens and tell me which has better fundamentals:
Token A: [address]
Token B: [address]Historical Context
Request time-based insights:
Analyze this token's performance over the last 7 days:
[contract address]Understanding the Output
Structured Reports
Analysis reports include:
Executive Summary
One-line verdict
Risk score
Key finding
Detailed Findings
Organized by category
Metrics with context
Comparisons where relevant
Visual indicators (🟢🟡🔴)
Recommendations
Action items
Things to watch
Additional research needed
Exit strategy considerations
Data Interpretation
Learn to read the signals:
Positive Signals
Growing holder count with stable price
Increasing liquidity over time
Decreasing whale concentration
Active community engagement
Transparent team communication
Warning Signals
Decreasing holder count
Liquidity removal events
Whale accumulation patterns
Declining volume
Team wallet movements
Critical Signals
Rapid liquidity decrease
Contract upgrade events
Massive whale sells
Social media abandonment
Rug pull pattern matching
Limitations & Disclaimers
What the Analysis Can Do
✅ Strengths:
Identify red flags and risks
Provide data-driven insights
Compare against historical patterns
Aggregate multi-source data
Explain complex metrics simply
What the Analysis Cannot Do
❌ Limitations:
Predict future prices
Guarantee investment outcomes
Detect novel scam methods
Account for market-wide events
Replace your own research
Always Remember
DYOR: Always do your own research
Not Financial Advice: Analysis is educational only
High Risk: All crypto investments are risky
Verify: Cross-check findings with other sources
Timing: Markets change rapidly, data can become outdated
Best Practices
Before Investing
Request Full Analysis: Don't rely on quick looks
Check Multiple Metrics: No single metric tells the whole story
Compare Similar Tokens: Understand relative positioning
Verify Contract: Double-check addresses on explorers
Read Social Channels: See what the community says
Start Small: Never invest more than you can lose
During Holding
Monitor Regularly: Check for concerning changes
Watch Whale Wallets: Track large holder activity
Track Liquidity: Ensure it remains stable
Stay Informed: Follow project updates
Have Exit Strategy: Know when to sell
Red Flag Response
If analysis shows red flags:
Investigate Further: Understand the specific risk
Reduce Position: Consider smaller investment
Avoid Entirely: Sometimes best to skip
Set Alerts: Monitor if reconsidering later
Share Findings: Help warn the community
Advanced Features
Custom Analysis Parameters
Request specific focus areas:
"Prioritize liquidity analysis for [token]"
"Focus on recent whale activity for [address]"
"Compare contract security with [similar token]"
Historical Tracking
Ask about changes over time:
"How has the holder distribution changed in 7 days?"
"Show me the liquidity trend for the past month"
"Has the risk score improved since launch?"
Scenario Analysis
Explore hypotheticals:
"What would happen if top holder sold 50%?"
"How would graduation affect the token?"
"If liquidity is unlocked, what's the risk?"
Next Steps
Learn Risk Interpretation: Read Understanding Risk Scores
Master the Chat: Check out Using the Chat Interface
Best Practices: Review Tips and Best Practices
AI Model Details: Understand AI Model Training
Ready to analyze tokens? Visit oracled.xyz and paste a contract address!
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