Relative Volume (RVOL) Thresholds
Two volume bars that look identical on a chart can represent vastly different levels of liquidity, as the notes at orb trading crypto against hillary describe. A sudden spike in an opening range breakout requires careful measurement to separate actual interest from noise. Identifying these thresholds determines if an intraday move carries enough weight to sustain a trend.
Volume Threshold Mechanics
Volume must be measured against a baseline of previous activity to establish a meaningful ratio. A standard approach involves comparing the current volume of a five minute range to the average volume of the same period over the last ten sessions. If the current volume is only 1.5 times the average, the move lacks the conviction needed to avoid a fakeout. A true breakout typically requires a relative volume ratio of 2.0 or higher. Relying on low volume spikes leads to catching falling knives during the first fifteen minutes of volatility. Mechanical execution demands that a price breach only triggers a position if the volume threshold is met.
The Role of Timeframes
The chosen timeframe dictates the required volume intensity. A move on a 5 minute chart requires a much higher relative surge than a move on a 60 minute chart to prove significance. During the first hour of the session, volume is naturally higher than during the midday lull. Comparing volume to a midday average during the opening bell creates false signals. Instead, volume must be compared to the specific time of day. A 15 minute candle that carries three times the average volume for that specific time window provides a higher probability of a sustained trend than a larger candle with mediocre participation.
Filtering Fakeouts
Fakeouts often occur when price moves beyond the session high on declining relative volume. A common error involves assuming any increase in volume indicates strength. If the volume is increasing but the rate of increase is slowing, the move is likely exhausting. A breakout with a volume ratio below 1.5 during the regular trading hours is often a trap. The data shows that high volume accompanied by large candle bodies indicates institutional participation, while high volume with small candle bodies suggests heavy absorption and a potential reversal.
Data Benchmarking
Calculating the moving average of volume is the standard method for setting these thresholds. Using a 20 period moving average of volume provides a stable baseline for the intraday session. When the current volume exceeds this average by a significant margin, the breakout gains legitimacy. Monitoring the volume during the transition from the premarket to the cash open helps in calibrating these expectations. A successful trade setup requires the confluence of price breaking a level and volume confirming that breach through a measurable spike above the historical norm.