This statistical indicator calculates the confidence interval around a user-defined trade count and observed win rate using the Wilson score interval method.
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
112 lines of Pine Script v6 from scripts/sample-size-panel.pine, published under MPL-2.0. Keep the author's credit and licence lines when you reuse it.
sample-size-panel.pine
//@version=6
// Taught to Trade - Sample Size Panel
//
// You enter the number of trades you have and the rate you observed. It returns the
// confidence interval around that rate, how wide it is, whether it can be told apart
// from a coin flip, and how many trades it would take to narrow it.
//
// The usual answer is "far more than you have". That is the point.
//
// All maths is scalar arithmetic on inputs plus bar_index. Nothing repaints,
// nothing reads the future, and nothing here is a signal.
indicator("Taught to Trade - Sample Size Panel", shorttitle = "TT SAMPLE", overlay = true)
// ─────────────────────────────── Inputs ───────────────────────────────
grpR = "Your result"
nTrades = input.int(30, "Number of trades", minval = 1, group = grpR,
tooltip = "The real count from your trade list, not an estimate.")
winPct = input.float(60.0, "Observed win rate (%)", minval = 0.0, maxval = 100.0, step = 0.5, group = grpR)
confIn = input.string("95%", "Confidence level", options = ["90%", "95%", "99%"], group = grpR)
grpC = "Chart context"
holdBars = input.int(20, "Bars held per trade", minval = 1, group = grpC,
tooltip = "Used only to estimate how many trades this chart's history could have produced.")
grpT = "Table"
posIn = input.string("Top right", "Position", options = ["Top right", "Top left", "Bottom right", "Bottom left"], group = grpT)
szIn = input.string("Small", "Text size", options = ["Tiny", "Small", "Normal"], group = grpT)
// ─────────────────────────────── Wilson score interval ───────────────────────────────
z = confIn == "90%" ? 1.6449 : confIn == "99%" ? 2.5758 : 1.9600
p = winPct / 100.0
n = math.max(nTrades, 1)
denom = 1.0 + z * z / n
centre = (p + z * z / (2.0 * n)) / denom
margin = (z / denom) * math.sqrt(p * (1.0 - p) / n + z * z / (4.0 * n * n))
lo = math.max(0.0, centre - margin)
hi = math.min(1.0, centre + margin)
widthPP = (hi - lo) * 100.0
// Can the observed rate be told apart from a coin flip at this confidence?
beatsCoin = lo > 0.5
worseCoin = hi < 0.5
verdict = beatsCoin ? "Yes, above 50%" : worseCoin ? "Yes, below 50%" : "No"
// Sample size needed for a target half-width, using the normal approximation.
f_need(float halfWidthPP) =>
e = halfWidthPP / 100.0
e > 0 ? math.ceil(z * z * p * (1.0 - p) / (e * e)) : na
need10 = f_need(10.0)
need5 = f_need(5.0)
need2 = f_need(2.0)
// Chart context
barsHere = bar_index + 1
tradesOnChart = math.floor(barsHere / math.max(holdBars, 1))
f_pc(float v01) => str.tostring(v01 * 100.0, "#.#") + "%"
// ─────────────────────────────── Table ───────────────────────────────
tblPos = posIn == "Top left" ? position.top_left : posIn == "Bottom right" ? position.bottom_right : posIn == "Bottom left" ? position.bottom_left : position.top_right
tblSz = szIn == "Tiny" ? size.tiny : szIn == "Normal" ? size.normal : size.small
bgCol = color.new(#0E1526, 10)
txtCol = color.new(#E6EAF2, 0)
hdrCol = color.new(#2F6FED, 0)
badCol = color.new(#B3261E, 25)
okCol = color.new(#2E7D32, 25)
warnCol = color.new(#B26A00, 25)
var table t = table.new(tblPos, 2, 10, border_width = 1, border_color = color.new(#2F6FED, 70))
f_l(int r, string s, color bc) => table.cell(t, 0, r, s, text_color = txtCol, text_size = tblSz, text_halign = text.align_left, bgcolor = bc)
f_v(int r, string s, color bc) => table.cell(t, 1, r, s, text_color = txtCol, text_size = tblSz, text_halign = text.align_right, bgcolor = bc)
if barstate.islast
table.cell(t, 0, 0, "SAMPLE SIZE", text_color = color.white, text_size = tblSz, text_halign = text.align_left, bgcolor = hdrCol)
table.cell(t, 1, 0, confIn + " confidence", text_color = color.white, text_size = tblSz, text_halign = text.align_right, bgcolor = hdrCol)
f_l(1, "Trades", bgCol)
f_v(1, str.tostring(n), n < 30 ? badCol : n < 100 ? warnCol : okCol)
f_l(2, "Observed rate", bgCol)
f_v(2, str.tostring(winPct, "#.#") + "%", bgCol)
f_l(3, "True rate is between", bgCol)
f_v(3, f_pc(lo) + " and " + f_pc(hi), bgCol)
f_l(4, "Interval width", bgCol)
f_v(4, str.tostring(widthPP, "#.#") + " pp", widthPP > 20.0 ? badCol : widthPP > 10.0 ? warnCol : okCol)
f_l(5, "Tells apart from 50%?", bgCol)
f_v(5, verdict, beatsCoin or worseCoin ? okCol : badCol)
f_l(6, "Trades for +/-10pp", bgCol)
f_v(6, na(need10) ? "-" : str.tostring(need10), bgCol)
f_l(7, "Trades for +/-5pp", bgCol)
f_v(7, na(need5) ? "-" : str.tostring(need5), bgCol)
f_l(8, "Trades for +/-2pp", bgCol)
f_v(8, na(need2) ? "-" : str.tostring(need2), bgCol)
f_l(9, "This chart could give", bgCol)
f_v(9, str.tostring(tradesOnChart) + " at " + str.tostring(holdBars) + " bars", tradesOnChart < nTrades ? warnCol : bgCol)
// ─────────────────────────────── No alerts, deliberately ───────────────────────────────
// This is a calculator. It has no market state to alert on, so it ships with no
// alert conditions rather than a placeholder that can never fire.
Overview
Taught to Trade - Sample Size Panel displays an on-chart table showing the plausible win rate range, total interval width, and whether the performance statistically differs from a 50% coin flip. It also computes how many trades are required to narrow the margin of error and estimates the chart capacity based on average holding time. It provides statistical evaluation without generating trade signals.
Wilson score confidence interval calculation
Statistical significance test against a 50% coin flip
Sample size requirements for target margin of error
Trade capacity estimation from available chart bars
Customizable dashboard table placement and text sizing
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Number of trades
int
30
nTrades
Observed win rate (%)
float
60.0
winPct
Confidence level
string
95%
confIn
Bars held per trade
int
20
holdBars
Position
string
Top right
posIn
Text size
string
Small
szIn
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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