//@version=5
indicator("Stella's Volume Profile", overlay=true, max_boxes_count=500)
// Volume Profile Indicator
// Shows volume distribution at price levels
lookback = input(100, "Lookback Period")
row_height = input(10, "Row Height (%)")
volume_power = input(2.5, "Volume Power")
// Calculate price levels
highest_price = ta.highest(high, lookback)
lowest_price = ta.lowest(low, lookback)
price_range = highest_price - lowest_price
row_size = price_range * row_height / 100
// Volume at price
var float[] volume_at_price = array.new_float(100, 0.0)
for i = 0 to 99
level_low = lowest_price + (price_range * i / 100)
level_high = level_low + row_size
// Check if current bar's price is in this level
in_level = low <= level_high and high >= level_low
if in_level
array.set(volume_at_price, i, array.get(volume_at_price, i) + volume)
// Find highest volume level
max_volume = array.max(volume_at_price)
max_index = array.indexof(volume_at_price, max_volume)
poc_price = lowest_price + (price_range * max_index / 100)
// Plot POC (Point of Control)
plot(poc_price, "POC", color=color.yellow, linewidth=2)
// Alert when price crosses POC
alertcondition(ta.crossover(close, poc_price), "POC Cross Up", "Price crossed POC up")
alertcondition(ta.crossunder(close, poc_price), "POC Cross Down", "Price crossed POC down")
Overview
Stella's Volume Profile divides the high-low price range into discrete rows and accumulates volume to identify the Point of Control, representing the price level with the highest volume concentration. The script plots the Point of Control line directly on the price chart and provides alert conditions for price crossovers and crossunders. Key settings let users modify the lookback period, row height percentage, and volume power weighting.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Lookback Period
int
100
lookback
Row Height (%)
int
10
row_height
Volume Power
float
2.5
volume_power
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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