1Copy the scriptPress Copy script above, or the copy button on the code below.
2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.
Source Code
76 lines of Pine Script v6 from scripts/kalman-filter.pine.txt, published under MPL-2.0. Keep the author's credit and licence lines when you reuse it.
kalman-filter.pine.txt
//@version=6
indicator("Kalman vs EMA", overlay = true)
qIn = input.float(0.01, "Q, process noise", minval = 0.00001, step = 0.001)
rIn = input.float(1.0, "R, measurement noise", minval = 0.00001, step = 0.1)
qvIn = input.float(0.00001, "Velocity noise", minval = 0.0, step = 0.00001)
emaLen = input.int(20, "EMA to compare against", minval = 2)
var float x1 = na
var float p1 = 1.0
if na(x1)
x1 := close
p1 := p1 + qIn
float k1 = p1 / (p1 + rIn)
x1 := x1 + k1 * (close - x1)
p1 := (1 - k1) * p1
ema = ta.ema(close, emaLen)
plot(ema, "EMA", color.new(color.gray, 0), 4)
plot(x1, "Kalman 1D", color.new(color.orange, 0), 1)
var float x = na
var float v = 0.0
var float p00 = 1.0
var float p01 = 0.0
var float p11 = 1.0
if na(x)
x := close
x := x + v
p00 := p00 + 2 * p01 + p11 + qIn
p01 := p01 + p11
p11 := p11 + qvIn
float s = p00 + rIn
float k0 = p00 / s
float kv = p01 / s
float y = close - x
x := x + k0 * y
v := v + kv * y
p11 := p11 - kv * p01
p01 := (1 - k0) * p01
p00 := (1 - k0) * p00
rising = x > x[1]
plot(x, "Kalman", rising ? color.teal : color.red, 3)
var float distK = 0.0
var float distE = 0.0
var int nBars = 0
var int flipK = 0
var int flipE = 0
if bar_index >= 200
nBars += 1
distK += math.abs(close - x)
distE += math.abs(close - ema)
if (x - x[1]) * (x[1] - x[2]) < 0
flipK += 1
if (ema - ema[1]) * (ema[1] - ema[2]) < 0
flipE += 1
var table t = table.new(position.top_right, 3, 4, bgcolor = color.black,
frame_width = 1, frame_color = color.gray, border_width = 1)
row(r, name, a, b) =>
table.cell(t, 0, r, name, text_color = color.white)
table.cell(t, 1, r, a, text_color = color.teal)
table.cell(t, 2, r, b, text_color = color.gray)
if barstate.islast and nBars > 0
row(0, "measured", "Kalman", "EMA")
row(1, "avg distance", str.tostring(distK / nBars, format.mintick),
str.tostring(distE / nBars, format.mintick))
row(2, "slope flips", str.tostring(flipK), str.tostring(flipE))
row(3, "1D gain vs alpha", str.tostring(k1, "#.####"),
str.tostring(2.0 / (emaLen + 1), "#.####"))
Overview
A one-dimensional Kalman filter estimates the current price state and velocity, adjusting based on process noise Q, measurement noise R, and velocity noise qvIn. An EMA of user-defined length serves as the second line. The Kalman line color shifts teal on rising slopes and red on falling ones. A top-right table shows average distance to close price for both lines and the count of slope flips detected. Inputs tune noise levels and EMA length to control smoothing strength. The script draws purely on the price chart with no separate pane.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Q, process noise
float
0.01
qIn
R, measurement noise
float
1.0
rIn
Velocity noise
float
0.00001
qvIn
EMA to compare against
int
20
emaLen
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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