Connecticut Turtle System
Author: ChaoZhang, Date: 2023-11-06 10:23:12Tags:
Overview
This strategy is based on the famous turtle trading system and tries to follow the original rules as much as possible. It is a trend following system that generates entry and exit signals using double moving averages.
Trading Logic
- N1-day high (default 20 days) and N2-day high (default 55 days) are used to build double moving averages.
- N3-day low (default 10 days) and N4-day low (default 20 days) are used to build double moving averages.
- Go long when close price exceeds N2-day high. Close position when close price falls below N4-day low.
- Pyramid up to 5 additional long positions, each 1 x ATR (default 1) above previous entry price.
- Set a fixed stop loss at N x ATR (default 2) below entry price.
- Only allow new entry after previous trade is a winner.
Advantage Analysis
The advantages of this strategy:
- Follows trend trading principle and captures mid-to-long term trends.
- Double MAs form filters, avoiding excessive trading during consolidation.
- The stop loss setting is reasonable, avoiding too wide or too narrow.
- Parameters are configurable for adjusting risk-reward profile.
- Allow pyramiding for more profit during strong trends.
Risk Analysis
There are also some risks:
- Unable to exit timely when trend reverses, leading to large losses.
- Too much pyramiding increases trading frequency.
- Improper parameter tuning makes the system too aggressive or too conservative.
- Backtest bias, real performance may underperform.
Risks can be reduced by:
- Adding reversal signals like MACD divergence to cut losses.
- Robust parameter optimization.
- Adding position sizing to lower position size after big losses.
Improvement Areas
The strategy can be improved in the following ways:
- Add short trade logic to profit from falling prices.
- Add stop loss optimization to adjust stops based on price action.
- Add position sizing module to optimize pyramid size.
- Incorporate trend strength index like ADX to avoid false signals.
- Optimize parameters for smoother returns.
- Consider real trading costs like slippage and commissions.
Conclusion
The strategy profits by following the trend and has good backtest results. But real performance needs to be validated. Further optimization on parameter robustness, stop loss and position sizing is needed before applying it in live trading. Overall it has sound logic and much potential for improvement.
/*backtest
start: 2022-10-30 00:00:00
end: 2023-11-05 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy(title="Turtle", overlay=true, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=10, commission_type=strategy.commission.percent, commission_value=0.1, pyramiding=5)
stopInput = input(2.0, "Stop N", step=.5)
pyramidInput = input(1, "Pyramid N", step=.5)
l1LongInput = input(20, "L1 Long", minval=5)
l2LongInput = input(55, "L2 Long", minval=5)
l1LongExitInput = input (10, "L1 Long Exit", minval=5)
l2LongExitInput = input (20, "L2 Long Exit", minval=5)
FromYear = input(2000, "From Year", minval=1900), FromMonth = input(1, "From Month", minval=1, maxval=12), FromDay = input(1, "From Day", minval=1, maxval=31)
ToYear = input(9999, "To Year", minval=1900), ToMonth = input(1, "To Month", minval=1, maxval=12), ToDay = input(1, "To Day", minval=1, maxval=31)
FromDate = timestamp(FromYear, FromMonth, FromDay, 00, 00), ToDate = timestamp(ToYear, ToMonth, ToDay, 23, 59)
TradeDateIsAllowed() => time >= FromDate and time <= ToDate
l1Long = highest(l1LongInput)
l1LongExit = lowest(l1LongExitInput)
l2Long = highest(l2LongInput)
l2LongExit = lowest(l2LongExitInput)
//
// ADX, +-DI
// https://www.tradingview.com/script/rlMJ05yl-ADX-and-DI-pine-script-3-0/
//
len = 14
th = 20
TrueRange = max(max(high-low, abs(high-nz(close[1]))), abs(low-nz(close[1])))
DirectionalMovementPlus = high-nz(high[1]) > nz(low[1])-low ? max(high-nz(high[1]), 0): 0
DirectionalMovementMinus = nz(low[1])-low > high-nz(high[1]) ? max(nz(low[1])-low, 0): 0
SmoothedTrueRange = 0.0
SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1])/len) + TrueRange
SmoothedDirectionalMovementPlus = 0.0
SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1])/len) + DirectionalMovementPlus
SmoothedDirectionalMovementMinus = 0.0
SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1])/len) + DirectionalMovementMinus
DIPlus = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
DIMinus = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
DX = abs(DIPlus-DIMinus) / (DIPlus+DIMinus)*100
ADX = sma(DX, len)
// Back to Turtle
filter = true // not (DIPlus < ADX and DIMinus < ADX) and DIPlus > DIMinus
var win = false
var totalPrice = 0.0
var buyPrice = 0.0
var avgPrice = 0.0
var nextBuyPrice = 0.0
var stopPrice = 0.0
var totalBuys = 0
var bool inBuy = false
var float l1LongPlot = highest(l1LongInput)
var float l2LongPlot = highest(l2LongInput)
n = atr(14)
var mode = 'L1'
string longLevel = na
if not inBuy
l1LongPlot := highest(l1LongInput)[1]
l2LongPlot := highest(l2LongInput)[1]
if (close > l2Long[1] and filter)
mode := 'L2'
if TradeDateIsAllowed()
strategy.close_all()
strategy.entry("long", strategy.long, comment="L2")
longLevel := 'L2'
win := false
buyPrice := close
totalBuys := 1
totalPrice := buyPrice
avgPrice := buyPrice
stopPrice := close-(stopInput*n)
nextBuyPrice := high+(pyramidInput*n)
inBuy := true
else
if (close > l1Long[1] and filter)
mode := 'L1'
if not win
if TradeDateIsAllowed()
strategy.close_all()
strategy.entry("long", strategy.long, comment="L1")
longLevel := 'L1'
win := false
buyPrice := close
totalBuys := 1
totalPrice := buyPrice
avgPrice := buyPrice
stopPrice := close-(stopInput*n)
nextBuyPrice := high+(pyramidInput*n)
inBuy := true
else
inBuy := false
else
l1LongPlot := l1LongPlot[1]
l2LongPlot := l2LongPlot[1]
if close > nextBuyPrice and TradeDateIsAllowed() and totalBuys < 6
strategy.entry("long", strategy.long, comment="LP")
longLevel := 'P'
stopPrice := close-(stopInput*n)
nextBuyPrice := high+(pyramidInput*n)
totalBuys := totalBuys + 1
totalPrice := totalPrice + buyPrice
avgPrice := totalPrice / totalBuys
if (close < stopPrice)
inBuy := false
if TradeDateIsAllowed()
if (close >= avgPrice)
longLevel := 'SG'
else
longLevel := 'SR'
strategy.close("long", strategy.long)
win := false
buyPrice := 0
avgPrice := 0
else
if (mode == 'L1' and close > l2Long[1] and filter)
if win
inBuy := true
win := false
mode := 'L2'
if TradeDateIsAllowed()
strategy.close_all()
longLevel := 'L2'
strategy.entry("long", strategy.long, comment="L2")
buyPrice := close
totalBuys := 1
totalPrice := buyPrice
avgPrice := buyPrice
stopPrice := close-(stopInput*n)
nextBuyPrice := close+(pyramidInput*n)
else
if (close < l1LongExit[1] or close < l2LongExit[1])
inBuy := false
if TradeDateIsAllowed()
strategy.close("long", strategy.long)
if close < avgPrice
longLevel := 'SR'
win := false
else
longLevel := 'SG'
win := true
buyPrice := 0
plot(l1LongPlot, title="l1 long", linewidth=3, style=plot.style_stepline, color=color.green)
plot(l1LongExit[1], title="l1 exit", linewidth=3, style=plot.style_stepline, color=color.red)
plot(l2LongPlot, title="l2 long", linewidth=2, style=plot.style_stepline, color=color.green)
plot(l2LongExit[1], title="l2 exit", linewidth=2, style=plot.style_stepline, color=color.red)
plot(stopPrice, title="stop", linewidth=2, style=plot.style_stepline, color=color.purple)
plotarrow(longLevel == 'L1' ? 1 : 0, colordown=color.black, colorup=color.green, transp=40)
plotarrow(longLevel == 'L2' ? 1 : 0, colordown=color.black, colorup=color.purple, transp=40)
plotarrow(longLevel == 'SR' ? -1 : 0, colordown=color.red, colorup=color.purple, transp=40)
plotarrow(longLevel == 'SG' ? -1 : 0, colordown=color.green, colorup=color.purple, transp=40)
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