Strategy · Pine Script v4 · On the chart

MTF EMA + MACD Short Strategy

by krosenfeld7

This short-only strategy combines multi-timeframe exponential moving averages with MACD crossovers to find bearish trade opportunities.

View on GitHub

Repaints

GitHub stars5on the repository
Pine versionv4older, still runs
Lines of code162
Settings19inputs
LicenceApache-2.0
Last update3 years ago12 May 2023

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above, or the copy button on the code below.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
  4. 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

162 lines of Pine Script v4 from MTF_EMA+MACD/MTF_EMA+MACD_Short_Strategy.txt, published under Apache-2.0. Keep the author's credit and licence lines when you reuse it.

MTF_EMA+MACD_Short_Strategy.txt
// 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("MTF EMA + MACD 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
// MTF EMA 1
mtfShort = input(title="Short MTF EMA", type=input.resolution, defval="15")
maShort_length = input(title = "Short EMA Period", defval = 50, minval = 1)
maShort = security(syminfo.tickerid, mtfShort, ema(close, maShort_length)[barstate.isrealtime ? 1 : 0])

// MTF EMA 2
mtfLong = input(title="Long MTF EMA", type=input.resolution, defval="60")
maLong_length = input(title = "Long EMA Period", defval = 50, minval = 1)
maLong = security(syminfo.tickerid, mtfLong, ema(close, maLong_length)[barstate.isrealtime ? 1 : 0])

pEma50  = plot(maShort, title="Short MTF EMA", color=color.white, linewidth=2)
pEma200 = plot(maLong,  title="Long MTF EMA", color=color.orange, linewidth=2)

emaLong  = maShort > maLong
emaShort = maShort < maLong

// MACD Section
fast_length = input(title="Fast MACD Length", type=input.integer, defval=12)
slow_length = input(title="Slow MACD Length", type=input.integer, defval=26)
macdSrc = input(title="MACD Source", type=input.source, defval=close)
signal_length = input(title="MACD Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9)
sma_source = input(title="MACD Simple MA (Oscillator)", type=input.bool, defval=false)
sma_signal = input(title="MACD Simple MA (Signal Line)", type=input.bool, defval=false)

// Calculating
fast_ma = sma_source ? sma(macdSrc, fast_length) : ema(macdSrc, fast_length)
slow_ma = sma_source ? sma(macdSrc, slow_length) : ema(macdSrc, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal ? sma(macd, signal_length) : ema(macd, signal_length)
hist = macd - signal

macdCrossDn = crossunder(macd, signal)
macdCrossUp = crossover(macd,  signal)

macdCross0 = cross(macd,   0)
sigCross0  = cross(signal, 0)

varip longCrossCount  = 0
varip shortCrossCount = 0

if macdCrossDn
    longCrossCount += 1

if longCrossCount == 1 and macdCrossUp
    longCrossCount += 1

if longCrossCount == 2 and macdCrossDn
    longCrossCount += 1

if macdCross0 or sigCross0 or macd > 0 or signal > 0
    longCrossCount := 0

if macdCrossUp
    shortCrossCount += 1

if longCrossCount == 1 and macdCrossDn
    shortCrossCount += 1

if longCrossCount == 2 and macdCrossUp
    shortCrossCount += 1

if macdCross0 or sigCross0 or macd < 0 or signal < 0
    shortCrossCount := 0

long  = emaLong  and longCrossCount == 3
short = emaShort and shortCrossCount == 3


// 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

MTF EMA + MACD Short Strategy calculates and plots two higher-timeframe EMAs directly on the price chart while monitoring MACD line crosses and zero-line interactions. Exits are handled through configurable percentage-based or ATR-based stop-loss and take-profit targets, alongside a maximum bar expiration limit. Because the multi-timeframe security calls reference uncompleted higher-timeframe bars differently during backtesting versus live execution, historical signals repaint.

Details

Published by

krosenfeld7 on GitHub

Type

Strategy, Pine Script v4

Draws

On the price chart

Category

Moving averages, Oscillators & momentum, Trend

Markets

Any symbol

Timeframes

M15-H1

Risk Notes

  • Signals can change on the live bar or after it closes (repainting)
  • Reads higher-timeframe data with lookahead on, so the history can show signals that were not there in real time

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
Backtesting Starttimetimestamp("1 Jan 2015")start
Order Expirationint100maxTimeOpen
Take Profit StrategystringPercenttpSlStrategy
Trailing StopstringFixedtrailingStop
ATR SL Lengthint14atrLength
ATR Multiplierfloat1atrMultiplier
Risk Levelfloat1riskLevel
Take Profit %float10shortProfitPercent
Stop Loss %float10shortLossPercent
Short MTF EMAtimeframe15mtfShort
Short EMA Periodint50maShort_length
Long MTF EMAtimeframe60mtfLong
Show all 19 settings
SettingTypeDefaultVariable
Long EMA Periodint50maLong_length
Fast MACD Lengthint12fast_length
Slow MACD Lengthint26slow_length
MACD SourcesourceclosemacdSrc
MACD Signal Smoothingint9signal_length
MACD Simple MA (Oscillator)boolfalsesma_source
MACD Simple MA (Signal Line)boolfalsesma_signal
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.

Similar Pine Scripts

330 stars

2 EMA/SMA + RSI Strategy [Alorse] combines three configurable moving averages with a short-period Relative Strength Index filter. It plots fast, slow, and trend moving averages on the price chart. Long entries trigger when the fast moving average is above the

Strategy v4 TrendOscillators & momentum
Updated 2 months ago · None stated GitHub repository of 2 EMA/SMA + RSI Strategy [Alorse]

Acrypto - Weighted Strategy

by AlbertoCuadra
318 stars

This strategy plots on the price chart and opens long or short positions when a weighted score from MACD, Stochastic RSI, RSI, Supertrend and a moving-average crossover exceeds a user-set trigger. Each component has its own weight and candle delay. Entries can

Strategy v5 TrendOscillators & momentum
Updated 3 years ago · Custom licence GitHub repository of Acrypto - Weighted Strategy

This strategy combines Arnaud Legoux Moving Average percentage price change calculations with an adaptive Gaussian Moving Average to generate trend-following signals. Long and short entries are triggered when the ALMA change calculation crosses above or below

Strategy v5 Moving averagesOscillators & momentum
Updated 6 weeks ago · None stated GitHub repository of ESM2024 - ALMA Smoothed Gaussian Moving Average
218 stars

This strategy generates trading signals based on a selectable momentum engine, supporting MACD, RSI, Stochastic, or Rate of Change. Entries trigger on signal crosses, zero-line crosses, or threshold crosses, with an optional moving average trend filter. Risk m

Strategy v6 Oscillators & momentumTrend
Updated 3 months ago · None stated GitHub repository of Momentum Strategy Template

255 EMA Strategy

by hasnocool
106 stars

255 EMA Strategy combines an exponential moving average with Average True Range bands and standard MACD crossovers to generate entry signals. Drawn directly on the price chart, it plots the central 255 EMA along with upper and lower volatility envelopes. Trade

Strategy v4 Moving averagesOscillators & momentum
Updated 2 years ago · GPL-3.0 GitHub repository of 255 EMA Strategy

SMA RSI Strategy

by PythonForForex
64 stars

This strategy evaluates simple moving averages and the Relative Strength Index to generate trading signals. It calculates a 10-period SMA, a 30-period SMA, and a 14-period RSI. Long positions are entered when the fast SMA crosses above the slow SMA while RSI i

Strategy v5 TrendOscillators & momentum
Updated 4 years ago · None stated GitHub repository of SMA RSI Strategy

More strategys

Trade Your Charts With a Regulated Broker

Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.

Compare brokers