๐ช๐๐ก๐๐๐๐ก๐ ๐๐๐ก ๐๐๐๐ฃ ๐๐๐ฉ๐๐๐ข๐ฃ๐๐ฅ๐ฆ ๐๐๐ฆ๐ง๐๐ก๐๐จ๐๐ฆ๐ ๐ฆ๐๐๐ก๐๐ ๐๐ฅ๐ข๐ ๐ก๐ข๐๐ฆ๐
External information can contain fluctuations that are not meaningful for the decision an application needs to make.
A developer may need to distinguish a genuine change from a temporary anomaly, an incomplete observation, or a difference caused by the way a source reports its data.
When using WINkLink, the consuming application should define the relevant validation and interpretation rules rather than assuming every change deserves the same response.
Those rules must suit the data and the intended purpose. Filtering information too aggressively can hide important changes, while accepting every observation without evaluation can produce unstable behavior.
The goal is to ensure that the application responds to information according to a clearly understood methodology.
@Justin Sunๅญๅฎๆจ @WINkLink_Official #TRONEcoStar
External information can contain fluctuations that are not meaningful for the decision an application needs to make.
A developer may need to distinguish a genuine change from a temporary anomaly, an incomplete observation, or a difference caused by the way a source reports its data.
When using WINkLink, the consuming application should define the relevant validation and interpretation rules rather than assuming every change deserves the same response.
Those rules must suit the data and the intended purpose. Filtering information too aggressively can hide important changes, while accepting every observation without evaluation can produce unstable behavior.
The goal is to ensure that the application responds to information according to a clearly understood methodology.
@Justin Sunๅญๅฎๆจ @WINkLink_Official #TRONEcoStar