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 strategy, select all of the template text and paste. Press Save and give it a name.
4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
77 lines of Pine Script v6 from turtle_strategy_pinescript.txt, published under MIT. Keep the author's credit and licence lines when you reuse it.
turtle_strategy_pinescript.txt
// How to add the Pine Script Code to TradingView Chart?
// 1. Open TradingView chart
// 2. Click "Pine Editor" at the bottom
// 3. Copy the code below and paste it in Pine Editor
// 4. Click "Save" in Pine Editor
// 5. Click "Add to Chart" in Pine Editor
// Your indicator will now be displayed on the chart including buy and sell signals
//@version=6
strategy("TurtleStrategy_Crypto", overlay=true, initial_capital=100000)
// Input parameters
periodHigh = input.int(10, "Breakout Period High", minval=1)
atrPeriod = input.int(14, "ATR Period", minval=1)
atrMultiplier = input.float(1, "ATR Multiplier", minval=0.1)
riskPct = input.float(2.0, "Risk Percentage", minval=0.1, maxval=100) / 100
start_date = timestamp("2023-01-01") // Default start date
end_date = timestamp("2024-12-31") // Default end date
// Calculate indicators
highestPrice = ta.highest(high, periodHigh)
lowestPrice = ta.lowest(low, periodHigh)
atr = ta.atr(atrPeriod)
// Variables for position management
var float stopPrice = na
var float entryPrice = na
var float highestPriceInTrade = na
// Calculate position size based on risk
calcPositionSize() =>
dollarVolatility = atr * atrMultiplier
dollarRisk = strategy.equity * riskPct
math.floor(dollarRisk / dollarVolatility)
// Date range filter
inDateRange = time >= start_date and time <= end_date
// Entry conditions
isLongEntry = (close > highestPrice[1]) and strategy.position_size == 0 and inDateRange
// Exit conditions
isLongExit = (close < stopPrice or close < lowestPrice[1]) and strategy.position_size > 0 and inDateRange
// Update trailing stop
if strategy.position_size > 0
highestPriceInTrade := math.max(highestPriceInTrade, close)
stopPrice := highestPriceInTrade - (atr * atrMultiplier)
// Entry and exit execution
if isLongEntry
posSize = calcPositionSize()
if posSize > 0
strategy.entry("Long", strategy.long, posSize)
entryPrice := close
highestPriceInTrade := close
stopPrice := close - (atr * atrMultiplier)
alert("Buy, Ticker:" + syminfo.ticker +
", Close: " + str.tostring(close) +
", Position Size: " + str.tostring(posSize))
if isLongExit
strategy.close("Long")
highestPriceInTrade := na
stopPrice := na
entryPrice := na
alert("Sell, Ticker:" + syminfo.ticker +
", Close: " + str.tostring(close) +
", Position Size: " + str.tostring(strategy.position_size))
plot(highestPrice, "High Channel", color = color.white)
plot(lowestPrice, "Low Channel", color = color.white)
plot(stopPrice, "Stop Price", color = color.yellow, style = plot.style_cross)
// Plot entry/exit signals
plotshape(isLongEntry ? low : na, "Entry", shape.triangleup, location.belowbar, color.green, size=size.small)
plotshape(isLongExit ? high : na, "Exit", shape.triangledown, location.abovebar, color.red, size=size.small)
Overview
TurtleStrategy_Crypto enters when the close is above that prior high and the position is flat, then sizes the order from account equity, a risk percentage, and ATR times a multiplier. It exits when the close falls below a trailing ATR stop or below the prior lowest low. High and low channels and the stop plot on the price chart. Short trades are not implemented, and the date window is fixed in code.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Breakout Period High
int
10
periodHigh
ATR Period
int
14
atrPeriod
ATR Multiplier
float
1
atrMultiplier
Risk Percentage
float
2.0
riskPct
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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