{"path":"/indicators/leverage_position_closures_scaled","tier":3,"parameters":{"a":["TON"],"c":["native"],"f":["csv","json"],"i":["24h"]},"queried":{"a":"TON","path":"/v1/metrics/indicators/leverage_position_closures_scaled"},"refs":{"docs":"https://docs.glassnode.com/basic-api/endpoints/indicators#get-v1-metrics-indicators-leverage_position_closures_scaled","studio":"https://studio.glassnode.com/charts/indicators.LeveragePositionClosuresScaled","metric_variant":{"bulk":"/indicators/leverage_position_closures_scaled/bulk","pit":"/indicators/leverage_position_closures_scaled_pit"}},"bulk_supported":true,"timerange":{"min":1637366400,"max":1784160000},"modified":1784257479,"descriptors":{"name":"Leverage Position Closures (Scaled)","short_name":"Position Closures Scaled","group":"Open Interest","tags":["futures","open_interest"],"description":{"default":"**Definition.** Leverage Position Closures (Scaled) quantifies the closure of existing long and short futures positions by analyzing trend alignment between 7-day moving averages of price and open interest (OI) percentage changes, normalized using 90-day z-scores to enable comparison of positioning between the long and short side.\n\n**Notes.** See our article on [inferring leveraged positioning from price and open interest](https://insights.glassnode.com/leverage-position-openings-and-closures/) for insights into this metric and its use cases.\n"},"data_sharing_group":"market"}}