Holt's linear trend method - level + trend (no seasonality). Two smoothing parameters: alpha (level) and beta (trend). Forecast extrapolates as a straight line from the last fitted level along the last fitted trend, so it grows or shrinks linearly with horizon. Use this when your series has a persistent up/down trend but no seasonal cycle (e.g. a SaaS MRR climb, a deflating cohort retention curve).
| Network | Scheme | Amount | Pay To |
|---|---|---|---|
| Base | exact | $0.001000 USDC | 0xaBF4...a9D0 |
| Polygon | exact | $0.001000 USDC | 0xaBF4...a9D0 |
| Arbitrum One | exact | $0.001000 USDC | 0xaBF4...a9D0 |
| eip155:143 | exact | 0.00 tokens | 0xaBF4...a9D0 |
| eip155:43114 | exact | 0.00 tokens | 0xaBF4...a9D0 |
| eip155:1329 | exact | 0.00 tokens | 0xaBF4...a9D0 |
| Optimism | exact | $0.002000 USDC | 0xaBF4...a9D0 |
| eip155:4663 | exact | 0.00 tokens | 0xaBF4...a9D0 |
| Celo | exact | 0.00 tokens | 0xaBF4...a9D0 |
| Base | upto | $0.001000 USDC | 0xaBF4...a9D0 |
| solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp | exact | 0.00 tokens | J7aN3P...3xwg |
| stellar:pubnet | exact | 0.01 tokens | GDNJXC...WWRL |
| algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8= | exact | 0.00 tokens | C7IIHG...2XIE |