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https://github.com/mihakralj/QuanTAlib.git
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Miha Kralj
92709ef2ed
- Implemented Stochastic Oscillator (%K and %D) in Stoch.cs with streaming and batch processing capabilities. - Added validation tests for the Stochastic Oscillator in Stoch.Validation.Tests.cs, ensuring consistency with Skender.Stock.Indicators. - Created documentation for the Stochastic Oscillator in Stoch.md, detailing its mathematical formula, architecture, parameters, and common pitfalls. - Updated project file to include necessary numeric libraries for highest and lowest calculations.
77 lines
2.3 KiB
Plaintext
77 lines
2.3 KiB
Plaintext
// The MIT License (MIT)
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// © mihakralj
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//@version=6
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indicator("Bollinger %B", "BBB", overlay=false)
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bbb(series float source, simple int period, simple float multiplier) =>
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if period <= 0 or multiplier <= 0.0
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runtime.error("Period and multiplier must be greater than 0")
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var int p = 0
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var int head = 0
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var int count = 0
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var array<float> buffer = array.new_float(0)
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var float sum = 0.0
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var float sumSq = 0.0
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var string lastSymbol = ""
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var string lastTimeframe = ""
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string currentSymbol = syminfo.tickerid
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string currentTimeframe = timeframe.period
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bool needsReset = (p != period) or (currentSymbol != lastSymbol) or (currentTimeframe != lastTimeframe)
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if needsReset
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p := period
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head := 0
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count := 0
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buffer := array.new_float(p, na)
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sum := 0.0
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sumSq := 0.0
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lastSymbol := currentSymbol
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lastTimeframe := currentTimeframe
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float result = na
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if not na(source)
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float oldest = array.get(buffer, head)
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if not na(oldest)
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sum -= oldest
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sumSq -= oldest * oldest
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else
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count += 1
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sum += source
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sumSq += source * source
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array.set(buffer, head, source)
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head := (head + 1) % p
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int n = math.max(1, count)
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float basis = sum / n
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float variance = math.max(0.0, sumSq / n - basis * basis)
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float stddev = math.sqrt(variance)
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float dev = multiplier * stddev
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float upper = basis + dev
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float lower = basis - dev
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float bandWidth = upper - lower
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result := bandWidth > 0 ? (source - lower) / bandWidth : 0.5
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result
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// Inputs
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i_period = input.int(20, "Period", minval=1)
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i_source = input.source(close, "Source")
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i_multiplier = input.float(2.0, "StdDev Multiplier", minval=0.001, step=0.1)
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// Calculation
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result = bbb(i_source, i_period, i_multiplier)
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// Plot
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plot(result, "Bollinger %B", color=color.yellow, linewidth=2)
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hline(1.0, "Upper Band Level", color=color.gray, linestyle=hline.style_dashed)
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hline(0.8, "Overbought", color=color.red, linestyle=hline.style_dotted)
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hline(0.5, "Midline", color=color.gray, linestyle=hline.style_solid)
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hline(0.2, "Oversold", color=color.green, linestyle=hline.style_dotted)
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hline(0.0, "Lower Band Level", color=color.gray, linestyle=hline.style_dashed)
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