The last years have seen great growth in wearable devices for activity monitoring. Fueled by miniaturization and market demand, many devices can accurately estimate physical activity. However, and despite the variety of solutions, existing wearables are tied to classifying activity from a single body position. Once users move their wearable, accuracy is affected. This paper describes the development and validation of a position-independent activity monitoring solution, the GoLiveClip. The performance of GoLiveClip is comparable to position-dependent devices, such as Fitbit Flex 2, Mi Band 2, Garmin Vivoactive HR, and Jawbone Up 24, for activity recognition, step detection, and distance estimation. These results motivate the development of position-independent activity monitoring solutions.