Core Technology
Discovery Engine
How Topic Discovery Works
Polynado's discovery system runs on a multi-model architecture:
Signal Aggregation Pipeline
Key Algorithms:
NLP models for sentiment and narrative detection
Time-series models for attention velocity forecasting
Graph analysis for social network effects
Reinforcement learning for optimal market timing
Discovery Criteria: A topic becomes market-worthy when it passes:
Attention Threshold: Minimum social velocity score
Measurability: Clear, objective resolution mechanism exists
Timeframe: Event horizon between 1 hour and 30 days
Controversy: Probability distribution indicates genuine disagreement
Current Performance Metrics
Average lead time on trending topics: 18-36 hours before mainstream prediction platforms
Discovery accuracy (topics that become high-volume markets): 73%
False positive rate (markets with <$1K volume): <15%
Market Generation
Smart Contract Architecture
Polynado generates markets using modular prediction contracts compatible with:
Custom Polynado Protocol (optimized for AI execution)
Polymarket infrastructure (via API integration)
Conditional token frameworks (Gnosis-style)
Contract Features:
Automated market maker curves for liquidity
Multi-source oracle resolution
Emergency dispute resolution for edge cases
Integrated fee distribution
Resolution Oracles
Polynado employs a hybrid resolution system:
Tier 1: Deterministic Resolution (75% of markets)
On-chain data: block explorers, DEX prices, protocol stats
Automated resolution via smart contract query
No human intervention required
Tier 2: Oracle-Based Resolution (20% of markets)
Third-party data feeds (Chainlink, API3)
Verified external APIs (CoinGecko, CoinMarketCap)
Automated settlement with manual override capability
Tier 3: Social Consensus (5% of markets)
Community voting for subjective outcomes
Multi-signature resolution by trusted arbiters
Used only when objective data is unavailable
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