This strategy overlays a trend moving average and Supertrend bands directly on the price chart while calculating Stochastic RSI values internally. Long positions trigger when price exceeds the moving average, Supertrend signals bullish momentum, and the StochR
Strategy · Pine Script v4 · On the chart
200 EMA + Stochastic + Triple Supertrend Short Strategy
This short-only trading strategy combines a 200-period Exponential Moving Average, a Stochastic RSI oscillator, and three distinct Supertrend indicators on the price chart.
GitHub stars5on the repository
Pine versionv4older, still runs
Lines of code169
Settings24inputs
LicenceApache-2.0
Last update3 years ago12 May 2023
Add It to Your TradingView Chart
- 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
169 lines of Pine Script v4 from 200_EMA+Triple_Supertrend+Stochastic/200_EMA+Triple_Supertrend+Stochastic_Short_Strategy.txt, published under Apache-2.0. Keep the author's credit and licence lines when you reuse it.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © krosenfeld7
//@version=4
strategy("200 EMA + Stochastic + Triple Supertrend Short Strategy (Not Good)", overlay = true, pyramiding = 0,
margin_long = 100, margin_short = 100, default_qty_type = strategy.percent_of_equity,
default_qty_value = 20, initial_capital = 2000, process_orders_on_close = true)
// Set the starting point for backtesting
start = input(title="Backtesting Start", type=input.time, defval=timestamp("1 Jan 2015"))
// Expiration time on orders
maxTimeOpen = input(title="Order Expiration", type=input.integer, defval=100, minval=1)
stopLossMethod = input(title="Stop Loss Method?", type=input.string, options=["Trend Lines", "Percent %", "ATR"], defval="Trend Lines")
risk_level = input(title="Risk Level", type=input.float, defval=1.5, minval=0.1)
// Algorithm / Strategy Goes here
// Set short variables to execute positions below
// 200 period EMA Section
len1 = input(200, minval=1, title="EMA Length")
src1 = input(close, title="EMA Source")
offset = input(title="EMA Offset", type=input.integer, defval=0, minval=-500, maxval=500)
ema200 = ema(src1, len1)
plot(ema200, title="EMA", color=color.white, offset=offset, linewidth=3)
emaLong = close > ema200
emaShort = close < ema200
// Stochastic RSI Section
smoothK = input(3, "Stochastic K", minval=1)
smoothD = input(3, "Stochastic D", minval=1)
lengthRSI = input(14, "RSI Length", minval=1)
lengthStoch = input(14, "Stochastic Length", minval=1)
src2 = input(close, title="RSI Source")
rsi1 = rsi(src2, lengthRSI)
k = sma(stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK)
d = sma(k, smoothD)
stoLong = k < 20 and d < 20 and crossover(k, d)
stoShort = k > 80 and d > 80 and crossunder(k, d)
// Supertrend 1: Settings: ATR Period = 12, Multiplier = 3
Periods1 = input(title="Long ATR Period", type=input.integer, defval=12)
src3 = input(hl2, title="ATR Source")
Multiplier1 = input(title="Long ATR Multiplier", type=input.float, step=0.1, defval=3.0)
changeATR= input(title="Change Long ATR Calculation Method ?", type=input.bool, defval=true)
atr2 = sma(tr, Periods1)
atr1= changeATR ? atr(Periods1) : atr2
up=src3-(Multiplier1*atr1)
up1 = nz(up[1],up)
up := close[1] > up1 ? max(up,up1) : up
dn=src3+(Multiplier1*atr1)
dn1 = nz(dn[1], dn)
dn := close[1] < dn1 ? min(dn, dn1) : dn
trend1 = 1
trend1 := nz(trend1[1], trend1)
trend1 := trend1 == -1 and close > dn1 ? 1 : trend1 == 1 and close < up1 ? -1 : trend1
// Supertrend 2: Settings: ATR Period = 11, Multiplier = 2
Periods2 = input(title="Intermediate ATR Period", type=input.integer, defval=11)
Multiplier2 = input(title="Intermediate ATR Multiplier", type=input.float, step=0.1, defval=2.0)
atr4 = sma(tr, Periods2)
atr3= changeATR ? atr(Periods2) : atr4
up2=src3-(Multiplier2*atr3)
up3 = nz(up2[1],up2)
up2 := close[1] > up3 ? max(up2,up3) : up2
dn2=src3+(Multiplier2*atr3)
dn3 = nz(dn2[1], dn2)
dn2 := close[1] < dn3 ? min(dn2, dn3) : dn2
trend2 = 1
trend2 := nz(trend2[1], trend2)
trend2 := trend2 == -1 and close > dn3 ? 1 : trend2 == 1 and close < up3 ? -1 : trend2
// Supertrend 3: Settings: ATR Period = 10, Multiplier = 1
Periods3 = input(title="Short ATR Period", type=input.integer, defval=10)
Multiplier3 = input(title="Short ATR Multiplier", type=input.float, step=0.1, defval=1.0)
atr6 = sma(tr, Periods3)
atr5= changeATR ? atr(Periods3) : atr6
up4=src3-(Multiplier3*atr5)
up5 = nz(up4[1],up4)
up4 := close[1] > up5 ? max(up4,up5) : up4
dn4=src3+(Multiplier3*atr5)
dn5 = nz(dn4[1], dn4)
dn4 := close[1] < dn5 ? min(dn4, dn5) : dn4
trend3 = 1
trend3 := nz(trend3[1], trend3)
trend3 := trend3 == -1 and close > dn5 ? 1 : trend3 == 1 and close < up5 ? -1 : trend3
// Bearish (Short)
// Price < 200 EMA
// Stochastic > 80 (overbought) with K crossdown
// Case 1: At least 2 supertrend lines above price (close), supertrend lines are dnPlot, dnPlot2, dnPlot3
// Case 2: If only 1 supertrend line above price:
// Wait until 2 supertrend lines above and enter, but only if Stochastic (either k or d) > 50
// Stop loss at 2 supertrend lines above price
shortPlot1 = trend1 == 1 ? na : dn
shortPlot2 = trend2 == 1 ? na : dn2
shortPlot3 = trend3 == 1 ? na : dn4
shortValid1 = not na(shortPlot1) and close < shortPlot1
shortValid2 = not na(shortPlot2) and close < shortPlot2
shortValid3 = not na(shortPlot3) and close < shortPlot3
shortValidNum = 0
shortValidNum += shortValid1 ? 1 : 0
shortValidNum += shortValid2 ? 1 : 0
shortValidNum += shortValid3 ? 1 : 0
// Case 1: 1 supertrend line is above price
conditionallyValidShort = shortValidNum == 1 and stoShort and emaShort
// Case 2: 2 supertrend lines are above price
superShort = (shortValid1 and shortValid2) or (shortValid1 and shortValid3) or (shortValid2 and shortValid3)
tempShort = emaShort and stoShort and superShort
// Case 1: EMA is valid, stochastic is not, but still greater than 50 and there are now 2 supertrend lines
if emaShort and (not stoShort and (d > 50 or k > 50)) and (superShort and barssince(conditionallyValidShort) < 10)
tempShort := true
short = tempShort ? 1 : 0
// Average True Range
length = input(title="ATR Length", defval=14, minval=1)
atrMultiplier = input(title="ATR Multiplier", type=input.float, defval=1, minval=0.1)
atr = atr(length)
shortProfitPercent = input(title = "Profit %",
type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100
shortLossPercent = input(title = "Loss %",
type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100
var float shortStopPrice = na
var float shortExitPrice = na
// Compute stop loss and targets only if trade isn't open yet
if tempShort and strategy.opentrades == 0 and stopLossMethod == "Trend Lines"
if shortValidNum == 2
if na(shortPlot1)
shortStopPrice := max(shortPlot2, shortPlot3)
else if na(shortPlot2)
shortStopPrice := max(shortPlot1, shortPlot3)
else
shortStopPrice := max(shortPlot1, shortPlot2)
else
shortMin = min(shortPlot1, min(shortPlot2, shortPlot3))
shortMax = max(shortPlot1, max(shortPlot2, shortPlot3))
shortStopPrice := shortPlot1 + shortPlot2 + shortPlot3 - shortMin - shortMax
shortExitPrice := close - ((shortStopPrice - close) * risk_level)
else if stopLossMethod == "Percent %"
// Calculating exact prices for stop loss and exit prices
shortExitPrice := strategy.position_avg_price * (1 - shortProfitPercent)
shortStopPrice := strategy.position_avg_price * (1 + shortLossPercent)
else if stopLossMethod == "ATR"
// Profit & Loss via ATR
shortExitPrice := strategy.position_avg_price - atr * atrMultiplier
shortStopPrice := strategy.position_avg_price + atr * atrMultiplier
// Plotting profit / loss targets
plot(series = (strategy.position_size < 0) ? shortExitPrice : na, color = #33b802, style = plot.style_linebr, transp = 0, linewidth = 3, title = "Short Target")
plot(series = (strategy.position_size < 0) ? shortStopPrice : na, color = #ff0900, style = plot.style_linebr, transp = 0, linewidth = 3, title = "Short Stop Loss")
// Submit entry orders
if time >= start
strategy.entry(id = "Short", long = strategy.short, comment = "Short Open", when = short)
// Submit exit orders
strategy.exit(id = "Short", limit = shortExitPrice, stop = shortStopPrice, comment = "Short Close", when = strategy.position_size < 0)
strategy.close(id = "Short", comment = "Expired: >" + tostring(maxTimeOpen), when = (barssince(change(strategy.opentrades)) + 1) >= maxTimeOpen)
Overview
200 EMA + Stochastic + Triple Supertrend Short Strategy evaluates price trend relative to the 200 EMA alongside Stochastic RSI crossunder conditions in overbought territory to trigger short entries. Position exits rely on user-selected stop loss methods including percentage targets, ATR-based levels, or trend lines, plus a bar-count order expiration. Key inputs control EMA length, Stochastic RSI parameters, and ATR multipliers across all three Supertrend levels.
- 200-period Exponential Moving Average filter
- Stochastic RSI oscillator condition tracking
- Triple Supertrend indicator system
- Flexible stop loss methods and time expiration
Details
Published by
krosenfeld7 on GitHub
Type
Strategy, Pine Script v4
Draws
On the price chart
Category
Trend, Oscillators & momentum, Moving averages, Volatility & bands
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Backtesting Start | time | timestamp("1 Jan 2015") | start |
| Order Expiration | int | 100 | maxTimeOpen |
| Stop Loss Method? | string | Trend Lines | stopLossMethod |
| Risk Level | float | 1.5 | risk_level |
| EMA Length | int | 200 | len1 |
| EMA Source | source | close | src1 |
| EMA Offset | int | 0 | offset |
| Stochastic K | int | 3 | smoothK |
| Stochastic D | int | 3 | smoothD |
| RSI Length | int | 14 | lengthRSI |
| Stochastic Length | int | 14 | lengthStoch |
| RSI Source | source | close | src2 |
Show all 24 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Long ATR Period | int | 12 | Periods1 |
| ATR Source | source | hl2 | src3 |
| Long ATR Multiplier | float | 3.0 | Multiplier1 |
| Change Long ATR Calculation Method ? | bool | true | changeATR |
| Intermediate ATR Period | int | 11 | Periods2 |
| Intermediate ATR Multiplier | float | 2.0 | Multiplier2 |
| Short ATR Period | int | 10 | Periods3 |
| Short ATR Multiplier | float | 1.0 | Multiplier3 |
| ATR Length | int | 14 | length |
| ATR Multiplier | float | 1 | atrMultiplier |
| Profit % | float | 10 | shortProfitPercent |
| Loss % | float | 10 | shortLossPercent |
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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