Strategy · Pine Script v4 · On the chart

RSI + Slow Stochastic + MACD Short Strategy

by krosenfeld7

This short-only trading strategy combines the Relative Strength Index (RSI), Slow Stochastic, and MACD to identify bearish setup entries.

View on GitHub

GitHub stars5on the repository
Pine versionv4older, still runs
Lines of code120
Settings22inputs
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

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

RSI+Slow_Stochastic+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("RSI + Slow Stochastic + MACD Short Strategy (Daily)", 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, defval="Pivot", options=["Pivot", "Percent %", "ATR"])

// Algorithm / Strategy Goes here
// Set long / short variables to execute positions below
rsiOver = input(title="RSI Highline", type=input.integer, defval=70, minval=70, maxval=100)
rsiMid = input(title="RSI Midline", type=input.integer, defval=50, minval=30, maxval=70)
rsiUnder = input(title="RSI Lowline", type=input.integer, defval=30, maxval=30, minval=0)
maxDelay = input(title="Label+Indicator Delay", type=input.integer, defval=5, minval=0)
barsback = input(title="Lookback", type=input.integer, defval=3, minval=1)

// RSI Section
len1 = input(14, minval=1, title="RSI Length")
src1 = input(close, "RSI Source", type = input.source)
up = rma(max(change(src1), 0), len1)
down = rma(-min(change(src1), 0), len1)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))

rsiLong = rsi > rsiMid
rsiShort = rsi < rsiMid

rsiLongExitCondition = rsi > rsiOver
rsiShortExitCondition = rsi < rsiUnder

// Slow Stochastic
smoothK = input(14, minval=1), smoothD = input(3, minval=1)
k = sma(stoch(close, high, low, smoothK), 3)
d = sma(k, smoothD)

stoLong = k < rsiUnder and d < rsiUnder and crossover(k, d)
stoShort = k > rsiOver and d > rsiOver and crossunder(k, d)

stoLongExitCondition = k > rsiOver and d > rsiOver
stoShortExitCondition = k < rsiUnder and d < rsiUnder

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

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

plottableMacd = (macd / 10000) * 100 + 50
plottableSignal = (signal / 10000) * 100 + 50

macdLong = crossover(macd, signal)
macdShort = crossunder(macd, signal)

// Bearish (Short)
// RSI is below 50, trend is downwards
// Stochastic is in Overbought, cross down
// MACD crossing down
// Stop loss at last pivot high
// Exit when stochastic and rsi are oversold

shortStopLoss = pivothigh(high, barsback, barsback)

tempShort = barssince(rsiShort) < maxDelay and barssince(stoShort) < maxDelay and barssince(macdShort) < maxDelay
shortExitCondition = rsiShortExitCondition and stoShortExitCondition
short = tempShort ? 1 : 0

var float shortExitPrice = na
var float shortStopPrice = na

// 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

if stopLossMethod == "Pivot"
    shortExitPrice := strategy.position_avg_price * (1 - shortProfitPercent)
    if strategy.opentrades == 0
        shortStopPrice := shortStopLoss[barssince(shortStopLoss)]
    
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)

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)
strategy.close(id = "Short", comment = "RSI Oversold", when = shortExitCondition)

Overview

A short position triggers when the RSI drops below 50, the Slow Stochastic crosses down while overbought, and the MACD line crosses under its signal line within a configurable delay window. Positions exit when RSI and Stochastic both reach oversold levels or order max open time expires. Risk management options include stop loss calculated by pivot highs, percentage, or ATR. Drawn directly on the price chart.

Details

Published by

krosenfeld7 on GitHub

Type

Strategy, Pine Script v4

Draws

On the price chart

Category

Oscillators & momentum, Trend, Moving averages

Markets

Any symbol

Timeframes

H4 and above

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.

SettingTypeDefaultVariable
Backtesting Starttimetimestamp("1 Jan 2015")start
Order Expirationint100maxTimeOpen
Stop Loss Method?stringPivotstopLossMethod
RSI Highlineint70rsiOver
RSI Midlineint50rsiMid
RSI Lowlineint30rsiUnder
Label+Indicator Delayint5maxDelay
Lookbackint3barsback
RSI Lengthint14len1
RSI Sourcesourceclosesrc1
smoothKint14smoothK
smoothDint3smoothD
Show all 22 settings
SettingTypeDefaultVariable
MACD Fast Lengthint12fast_length
MACD Slow Lengthint26slow_length
MACD Sourcesourceclosesrc
Signal Smoothingint9signal_length
Simple MA (Oscillator)boolfalsesma_source
Simple MA (Signal Line)boolfalsesma_signal
ATR Lengthint14length
ATR Multiplierfloat1atrMultiplier
Profit %float10shortProfitPercent
Loss %float10shortLossPercent
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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