IN Long/Short Ratio (INFINIT)

Compare INFINIT perpetual long/short ratio across exchanges in real time · account ratio as primary metric, Binance also provides position & taker ratios · updated every minute

INFINIT current price: $0.04234

LS Ratio OverviewLS Ratio Matrix

IN Long/Short Ratio by Exchange

Live updated
#ExchangeLong/Short RatioLong %Short %
1Binancemost extreme1.880265.3%34.7%
Cross-Exchange Avg Ratio
1.8802
Avg Long %
65.3%
Avg Short %
34.7%

IN Long/Short Ratio History

Data based on Binance account-ratio hourly snapshots, reflecting retail-account-level long/short positioning.

About INFINIT Long/Short Ratio

What is the IN long/short ratio?

The IN long/short ratio measures the balance of buying (long) versus selling (short) positions on INFINIT perpetual futures, tracked by account count, position size, or active taker volume. A ratio of 2.0 means longs outnumber (or outsize) shorts two to one; 0.5 means the opposite. It's a key gauge of market sentiment and position crowding.

What does a high or low IN long/short ratio mean?

A persistently high IN long/short ratio suggests retail accounts are heavily long and positioning is crowded — a reversal can trigger cascading long liquidations. A low ratio signals short dominance. Extreme readings in either direction are often treated as a contrarian signal.

What is the current IN long/short ratio?

As of now, the IN account-ratio averages 1.8802 across 1 exchanges CoinBoss tracks, and positioning is long-dominant. This updates in real time — see the table above for the full per-exchange breakdown plus position and taker ratios.

Which exchange shows the most extreme IN long/short ratio?

Right now binance shows the most extreme (furthest from 1.0) IN long/short ratio among tracked exchanges, at 1.8802. Differences across exchanges mainly stem from user base composition and trading behavior — large divergences are often watched as a smart-money signal.
A ratio above 1 means longs dominate; below 1 means shorts dominate. Extreme retail-account ratios are often used as a contrarian indicator.

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