#positioningdata
positioningdata
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Top Trader Accounts Show a Long Bias in $SHELL Futures
Data timestamp: October 17, 2026, 11:00 ICT (UTC+7).
Binance's top-trader account statistic reported 77.38% net-long accounts and 22.62% net-short accounts, producing a long/short ratio of approximately 3.4209.
This metric covers the accounts included in Binance's top-trader category, rather than every market participant. It measures the distribution of accounts by net position, not the relative size of their positions.
A strong long bias can coexist with falling prices. Positioning data is most useful when compared with price action, open interest and funding.
#TopTraders #PositioningData #FuturesMarket
Top Trader Accounts Show a Long Bias in $SHELL Futures
Data timestamp: October 17, 2026, 11:00 ICT (UTC+7).
Binance's top-trader account statistic reported 77.38% net-long accounts and 22.62% net-short accounts, producing a long/short ratio of approximately 3.4209.
This metric covers the accounts included in Binance's top-trader category, rather than every market participant. It measures the distribution of accounts by net position, not the relative size of their positions.
A strong long bias can coexist with falling prices. Positioning data is most useful when compared with price action, open interest and funding.
#TopTraders #PositioningData #FuturesMarket
Data timestamp: October 17, 2026, 11:00 ICT (UTC+7).
Binance's top-trader account statistic reported 77.38% net-long accounts and 22.62% net-short accounts, producing a long/short ratio of approximately 3.4209.
This metric covers the accounts included in Binance's top-trader category, rather than every market participant. It measures the distribution of accounts by net position, not the relative size of their positions.
A strong long bias can coexist with falling prices. Positioning data is most useful when compared with price action, open interest and funding.
#TopTraders #PositioningData #FuturesMarket
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