FarmDash Methodology: Trail Heat, Data Sources, and Confidence Labels
How FarmDash scores airdrop opportunities, labels live versus estimated data, and normalizes wallet progress without hiding source uncertainty.
FarmDash Methodology: 100% Quantitative Trail Heat Engine
Trail Heat calculates protocol intelligence using four verifiable on-chain and market pillars normalized to a 0–100 scale: 40/90 TVL scale (44.4% effective weight), 25/90 momentum (27.8% effective weight), 15/90 chain diversification (16.7% effective weight), and 10/90 category outperformance (11.1% effective weight). Editorial notes are 0% in score and isolated in metadata.
- TVL Scale (40/90 raw points, 44.4% weight)
- 7-Day TVL Momentum (25/90 raw points, 27.8% weight)
- Chain Diversification Spread (15/90 raw points, 16.7% weight)
- Category Benchmark Outperformance (10/90 raw points, 11.1% weight)
- Editorial curation strictly isolated as descriptive metadata (0% in live score)
FarmDash Agent FAQ
How does FarmDash calculate Trail Heat?
Live Trail Heat is a 100% quantitative scoring heuristic (0 to 100) combining four verifiable market pillars: 40/90 raw points TVL scale (44.4% effective weight), 25/90 raw points 7-day TVL momentum (27.8% effective weight), 15/90 raw points chain diversification (16.7% effective weight), and 10/90 raw points category outperformance (11.1% effective weight) against live DeFiLlama benchmarks (90 raw maximum normalized to a 0–100 scale). Editorial judgment is strictly excluded from quantitative scores and exposed only as distinct descriptive metadata.
What do FarmDash data confidence labels mean?
Live means fresh public data was available, cached means FarmDash is showing the most recent known value, and estimate means FarmDash is using a static or editorial fallback.
Continue on FarmDash
- Farming guides — methodology and walkthroughs
- Protocol trackers — protocol-level research
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