Doge SMA is a long-only moving-average crossover strategy drawn on the price chart. It calculates a fast and a slow simple moving average of close and enters a long position when the fast average crosses above the slow average, but only inside a user-defined s
Strategy · Pine Script v4 · On the chart
Triple EMA + Sloping Trend Short Strategy
This strategy plots three exponential moving averages on the price chart and measures their average slope in degrees over a chosen lookback.
GitHub stars5on the repository
Pine versionv4older, still runs
Lines of code163
Settings17inputs
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
163 lines of Pine Script v4 from Triple_EMA+Sloping_Trend/Triple_EMA+Sloping_Trend_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("Triple EMA + Sloping Trend Short Strategy", 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"))
maxTimeOpen = input(title = "Order Expiration", type = input.integer,
defval = 100, minval = 1)
tpSlStrategy = input(title = "Take Profit Strategy", type = input.string,
defval = "Percent", options = ["Percent", "ATR"])
trailingStop = input(title = "Trailing Stop", type = input.string,
defval = "Fixed", options = ["Fixed", "Trail"])
// ATR For Stop Loss
atrLength = input(title = "ATR SL Length", defval = 14,
minval = 1)
atrMultiplier = input(title = "ATR Multiplier", type = input.float,
defval = 1, minval = 0.1)
riskLevel = input(title = "Risk Level", type = input.float,
defval = 1, minval = 0.1)
shortProfitPercent = input(title = "Take Profit %",
type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100
shortLossPercent = input(title = "Stop Loss %",
type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100
// Algorithm / Strategy Goes here
// Set short variables to execute positions below
emaShort = input(title = "Short EMA Length", type = input.integer, defval = 50, minval = 1)
emaShortSrc = input(title = "Short EMA Src", type = input.source, defval = close)
emaMed = input(title = "Med EMA Length", type = input.integer, defval = 100, minval = 1)
emaMedSrc = input(title = "Med EMA Src", type = input.source, defval = close)
emaLong = input(title = "Long EMA Length", type = input.integer, defval = 150, minval = 1)
emaLongSrc = input(title = "Long EMA Src", type = input.source, defval = close)
slopeRange = input(title = "Slope Range", type = input.integer, defval = 10, minval = 1)
slopeDegLim = input(title = "Slope Angle Limit",type = input.float, defval = 30, minval = 1)
ema50 = ema(close, 50)
ema100 = ema(close, 100)
ema150 = ema(close, 150)
plot(ema50, color=color.blue, linewidth = 2)
plot(ema100, color=color.yellow, linewidth = 2)
plot(ema150, color=color.red, linewidth = 2)
calculate_slope(_range, _src) =>
_y = _src - nz(_src[_range])
_angle = atan(_y/_range)
_angle
calculate_avg_slope(_range, _src) =>
_total = 0.0
for i = 1 to _range
_total += calculate_slope(i, _src)
_total / _range
slopeEMA1 = todegrees(calculate_avg_slope(slopeRange, ema50))
slopeEMA2 = todegrees(calculate_avg_slope(slopeRange, ema100))
slopeEMA3 = todegrees(calculate_avg_slope(slopeRange, ema150))
// Bullish
// 50 MA > 100 MA > 200 MA all with slopes > 30 deg
// closes below 50 EMA, but above 100 EMA, long when candle closes above 50 EMA
closeBelow50 = crossunder(close, ema50)
closeBelow100 = crossunder(close, ema100)
closeBelow150 = crossunder(close, ema150)
correctBullOrder = barssince(closeBelow50) < barssince(closeBelow100)
tempLongPos = ema50 > ema100 and ema100 > ema150 and correctBullOrder and crossover(close, ema50)
emaLongPos = barssince(tempLongPos) < barssince(close < ema100) and barssince(tempLongPos) < barssince(close < ema150)
slopeLongPos = slopeEMA1 > slopeDegLim and slopeEMA2 > slopeDegLim and slopeEMA3 > slopeDegLim
// Bearish
// 50 MA < 100 MA < 200 MA all with slopes < -30 deg
// closes above, but below 100 EMA, short when candle closes below 50 EMA
closeAbove50 = crossover(close, ema50)
closeAbove100 = crossover(close, ema100)
closeAbove150 = crossover(close, ema150)
correctBearOrder = barssince(closeAbove50) < barssince(closeAbove100)
tempShortPos = ema50 < ema100 and ema100 < ema150 and correctBearOrder and crossunder(close, ema50)
emaShortPos = barssince(tempShortPos) < barssince(close > ema100) and barssince(tempShortPos) < barssince(close > ema150)
slopeShortPos = slopeEMA1 < -slopeDegLim and slopeEMA2 < -slopeDegLim and slopeEMA3 < -slopeDegLim
// Computing Strategy
long = emaLongPos and slopeLongPos
short = emaShortPos and slopeShortPos
// End Algorithm
shortExitPrice = 0.0
shortStopPrice = 0.0
shortExitPercentPrice = strategy.position_avg_price * (1 -
(shortProfitPercent * riskLevel))
shortStopPercentPrice = strategy.position_avg_price * (1 +
shortLossPercent)
// Profit & Loss via ATR
atr = atr(atrLength)
atr := valuewhen(strategy.position_size == 0, atr, 0)
shortExitAtrPrice = strategy.position_avg_price - (atr *
atrMultiplier * riskLevel)
shortStopAtrPrice = strategy.position_avg_price + (atr *
atrMultiplier)
if tpSlStrategy == "Percent"
shortExitPrice := shortExitPercentPrice
if trailingStop == "Fixed"
shortStopPrice := shortStopPercentPrice
else if trailingStop == "Trail"
stopValue = close * (1 + shortLossPercent)
shortStopPrice := (strategy.position_size < 0) ?
min(stopValue, shortStopPrice[1]) : 999999
else if tpSlStrategy == "ATR"
if strategy.position_size < 0
shortExitPrice := shortExitAtrPrice
if trailingStop == "Fixed"
shortStopPrice := shortStopAtrPrice
else if trailingStop == "Trail"
stopValue = close + (atr * atrMultiplier)
shortStopPrice := (strategy.position_size < 0) ?
min(stopValue, shortStopPrice[1]) : 999999
// Plotting profit / loss targets
plot(series = (strategy.position_size < 0) ? shortExitPrice : na,
color = color.green, style = plot.style_linebr, linewidth = 3,
title = "Short Target")
plot(series = (strategy.position_size < 0) ? shortStopPrice : na,
color = color.red, style = plot.style_linebr, 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
The visible logic looks for a stacked EMA order and a close that crosses back above the shortest average after dipping below it. Settings choose EMA lengths and sources, slope range and angle limit, percent or ATR exits, a fixed or trailing stop, order expiration, and percent-of-equity size. The excerpt ends before the short entry is shown, so those rules are not described here.
- Three EMA plots on the price chart
- Average slope angle of each EMA
- Percent or ATR take-profit choice
- Fixed or trailing stop choice
- Percent-of-equity position size
Details
Published by
krosenfeld7 on GitHub
Type
Strategy, Pine Script v4
Draws
On the price chart
Category
Trend, Moving averages
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 |
| Take Profit Strategy | string | Percent | tpSlStrategy |
| Trailing Stop | string | Fixed | trailingStop |
| ATR SL Length | int | 14 | atrLength |
| ATR Multiplier | float | 1 | atrMultiplier |
| Risk Level | float | 1 | riskLevel |
| Take Profit % | float | 10 | shortProfitPercent |
| Stop Loss % | float | 10 | shortLossPercent |
| Short EMA Length | int | 50 | emaShort |
| Short EMA Src | source | close | emaShortSrc |
| Med EMA Length | int | 100 | emaMed |
Show all 17 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| Med EMA Src | source | close | emaMedSrc |
| Long EMA Length | int | 150 | emaLong |
| Long EMA Src | source | close | emaLongSrc |
| Slope Range | int | 10 | slopeRange |
| Slope Angle Limit | float | 30 | slopeDegLim |
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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