👀MAIGA KOL Alpha
Transforms X mentions into actionable crypto intelligence by analyzing KOLs' on-chain wallet activities and delivering real-time trading insights.
Function Overview
Professional-grade P&L analytics with AI-powered pattern recognition using GPT-4 and retweet-gated insights.
System Capabilities
30–90s Response Time
10+ Wallets Per KOL
50+ Metrics Per Analysis
99.5% Uptime Target
X Monitoring
Intelligent Polling Strategy MAIGA KOL Alpha operates through MaigaXBT on X with sophisticated anti-detection mechanisms:
Mention Check
1–3 minutes
±60 seconds
Avoid pattern detection
Response Delay
30–90 seconds
Human-like
Natural flow
Session Rotation
Every 100 queries
3 backup sessions
Rate limit management
Multi-Source Data Collection
Search API: Queries "@maigaxbt" for public mentions
Mentions Timeline: Direct @mentions in notifications
All Notifications: Includes quotes, replies, and indirect mentions
KOL Identification
Intent Classification with GPT-4.1 Each mention is intelligently classified with confidence scoring:
KOL Analysis → “yo @maigaxbt what’s @blknoiz06 cooking?”
Token Analysis → “@maigaxbt thoughts on $PEPE?”
Unknown → Unclear intent or spam (~2% of requests)
Entity Resolution Pipeline X Handle → Arkham Entity ID → Wallet Addresses → Chain Classification
Steps:
Cache Check (24-hour validity, ~60% hit rate)
Arkham Query (entity + prediction fallback)
Classification (Ethereum, Solana, multi-chain with 5–10+ wallets)
Wallet Analytics
Multi-Provider Data Aggregation
Arkham Intelligence
Holdings, transfers, history
24 hours
All major chains
Cielo Finance
P&L, win rates, trade history
3 hours
All major chains
Wallet Analytics
Aggregated metrics
3 hours
All data points
Portfolio Composition Analysis
Token balances and USD valuations
Portfolio allocation percentages
Chain distribution analysis
Concentration risk assessment
Example Portfolio:
Total Value: $2.45M
ANI (63.6%): $1.56M
WETH (18.2%): $447K
PEPE (8.4%): $206K
Trading Performance Metrics
Total P&L = Realized + Unrealized
ROI = (Total P&L ÷ Total Invested) × 100
Performance Categories
Alpha Generator → Win rate >70%, ROI >100%
Consistent Performer → Win rate >60%, positive P&L
Risk Taker → High volatility, mixed results
Bag Holder → Negative P&L, low win rate
AI Insight Generation
GPT-4.1 Prompt Engineering Dynamic templates generate insights based on performance metrics:
High Performance Signals:
P&L >100% → “alpha tsunami incoming”
Win Rate >70% → “sniper mode engaged”
Concentration → “ALL-IN on $TOKEN. Pure conviction.”
Risk Signals:
High Risk → “degen but dangerous”
Losses → “bags too heavy”
Rotation → “Dumping ETH, accumulating SOL”
Three-Part Takeaway Structure
Position Analysis – largest holdings and strategy
Market Impact – influence on prices
Action Item – what followers should watch for
Example Output:
63% in $ANI shows massive conviction play
Their buys move charts, their sells can nuke them
Watch for rotation signals when profits start
Access Control
Retweet-Based Unlock Mechanism Social proof powers viral distribution:
0 Retweets → Locked (teaser only)
1+ Retweets → Globally unlocked, full dashboard view
Key Insights for Users
Consistent Win Rate → >65% success across 100+ trades
Significant P&L → $100K+ in realized profits
Active Trading → New transactions in last 7 days
Smart Positioning → Early entries in winning tokens
Interpretation Guide
“Sniper mode” → Exceptional win rate (>70%)
“All-in conviction” → >60% concentrated bet
“Rotation alert” → Switching sectors
“Bag warning” → Losing positions held too long
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