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
102 lines of Pine Script v5 from momgulfing.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
momgulfing.pine
//@version=5
strategy(title = "MomGulfing", shorttitle = "MomGulfing", overlay = true, initial_capital=10000, pyramiding=3, calc_on_order_fills=false, calc_on_every_tick=false, currency="USD", default_qty_type=strategy.cash, default_qty_value=1000, commission_type=strategy.commission.percent, commission_value=0.04)
syear = input(2021)
smonth = input(1)
sday = input(1)
fyear = input(2022)
fmonth = input(12)
fday = input(31)
start = timestamp(syear, smonth, sday, 01, 00)
finish = timestamp(fyear, fmonth, fday, 23, 59)
date = time >= start and time <= finish ? true : false
longs = input(true)
shorts = input(true)
rr = input(2.5)
position_risk_percent = input(1)/100
signal_bar_check = input.string(defval="3", options=["1", "2", "3"])
margin_req = input(80)
sl_increase_factor = input(0.2)
tp_decrease_factor = input(0.0)
check_for_volume = input(true)
var long_sl = 0.0
var long_tp = 0.0
var short_sl = 0.0
var short_tp = 0.0
var long_lev = 0.0
var short_lev = 0.0
initial_capital = strategy.equity
position_risk = initial_capital * position_risk_percent
bullishEngulfing_st = close[1] < open[1] and close > open and high[1] < close and (check_for_volume ? volume[1]<volume : true)
bullishEngulfing_nd = close[2] < open[2] and close[1] > open[1] and close > open and high[2] > close[1] and high[2] < close and (check_for_volume ? volume[2]<volume : true)
bullishEngulfing_rd = close[3] < open[3] and close[2] > open[2] and close[1] > open[1] and close > open and high[3] > close[2] and high[3] > close[1] and high[3] < close and (check_for_volume ? volume[3]<volume : true)
bullishEngulfing = signal_bar_check == "1" ? bullishEngulfing_st : signal_bar_check == "2" ? bullishEngulfing_st or bullishEngulfing_nd : bullishEngulfing_st or bullishEngulfing_nd or bullishEngulfing_rd
long_stop_level = bullishEngulfing_st ? math.min(low[1], low) : bullishEngulfing_nd ? math.min(low[2], low[1], low) : bullishEngulfing_rd ? math.min(low[3], low[2], low[1], low) : na
rr_amount_long = close-long_stop_level
long_exit_level = close + rr*rr_amount_long
long_leverage = math.floor(margin_req/math.floor((rr_amount_long/close)*100))
bearishEngulfing_st = close[1] > open[1] and close < open and low[1] > close and (check_for_volume ? volume[1]<volume : true)
bearishEngulfing_nd = close[2] > open[2] and close[1] < open[1] and close < open and low[2] < close[1] and low[2] > close and (check_for_volume ? volume[2]<volume : true)
bearishEngulfing_rd = close[3] > open[3] and close[2] < open[2] and close[1] < open[1] and close < open and low[3] < close[2] and low[3] < close[1] and low[3] > close and (check_for_volume ? volume[3]<volume : true)
bearishEngulfing = signal_bar_check == "1" ? bearishEngulfing_st : signal_bar_check == "2" ? bearishEngulfing_st or bearishEngulfing_nd : bearishEngulfing_st or bearishEngulfing_nd or bearishEngulfing_rd
short_stop_level = bearishEngulfing_st ? math.max(high[1], high) : bearishEngulfing_nd ? math.max(high[2], high[1], high) : bearishEngulfing_rd ? math.max(high[3], high[2], high[1], high) : na
rr_amount_short = short_stop_level-close
short_exit_level = close - rr*rr_amount_short
short_leverage = math.floor(margin_req/math.floor((rr_amount_short/short_stop_level)*100))
long = longs and date and bullishEngulfing
short = shorts and date and bearishEngulfing
bgcolor(long[1] ? color.new(color.teal, 80) : (short[1] ? color.new(color.purple, 80) : na))
if long and strategy.position_size <= 0
long_lev := long_leverage
if short and strategy.position_size >= 0
short_lev := short_leverage
long_pos_size = long_lev * position_risk
long_pos_qty = long_pos_size/close
short_pos_size = short_lev * position_risk
short_pos_qty = short_pos_size/close
if long
if strategy.position_size <= 0
long_sl := long_stop_level
long_tp := long_exit_level
else if strategy.position_size > 0
long_sl := long_stop_level + sl_increase_factor*rr_amount_long
long_tp := long_exit_level - tp_decrease_factor*rr_amount_long
strategy.entry("L"+str.tostring(long_lev)+"X", strategy.long, qty=long_pos_qty)
label_text = str.tostring(long_lev)+"X\nSL:"+str.tostring(long_sl)+"\nTP:"+str.tostring(long_tp)
label.new(bar_index+1, na, text=label_text, color=color.green, style=label.style_label_up, xloc=xloc.bar_index, yloc=yloc.belowbar)
else if short
if strategy.position_size >= 0
short_sl := short_stop_level
short_tp := short_exit_level
else if strategy.position_size < 0
short_sl := short_stop_level - sl_increase_factor*rr_amount_short
short_tp := short_exit_level + tp_decrease_factor*rr_amount_short
strategy.entry("S"+str.tostring(short_lev)+"X", strategy.short, qty=short_pos_qty)
label_text = str.tostring(short_lev)+"X\nSL:"+str.tostring(short_sl)+"\nTP:"+str.tostring(short_tp)
label.new(bar_index+1, na, text=label_text, color=color.red, style=label.style_label_down, xloc=xloc.bar_index, yloc=yloc.abovebar)
if (strategy.position_size > 0)
strategy.exit(id="L TP/SL", stop=long_sl, limit=long_tp)
if (strategy.position_size < 0)
strategy.exit(id="S TP/SL", stop=short_sl, limit=short_tp)
sl_level = strategy.position_size > 0 ? long_sl : strategy.position_size < 0 ? short_sl : na
plot(sl_level, color=color.red, style=plot.style_linebr)
tp_level = strategy.position_size > 0 ? long_tp : strategy.position_size < 0 ? short_tp : na
plot(tp_level, color=color.green, style=plot.style_linebr)
Overview
MomGulfing triggers long or short entries when price breaks key candle bounds across one to three bars while volume expands. The strategy establishes a dynamic stop loss at the pattern's price extreme and sets a take profit based on a customizable risk-reward ratio. User settings control pattern lookback depth, volume filters, risk percentage per position, and backtesting date windows. Signals highlight background chart colors directly on the price pane.
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
syear
int
2021
syear
smonth
int
1
smonth
sday
int
1
sday
fyear
int
2022
fyear
fmonth
int
12
fmonth
fday
int
31
fday
longs
bool
true
longs
shorts
bool
true
shorts
rr
float
2.5
rr
position_risk_percent
int
1
position_risk_percent
signal_bar_check
string
3
signal_bar_check
margin_req
int
80
margin_req
Show all 15 settings
Setting
Type
Default
Variable
sl_increase_factor
float
0.2
sl_increase_factor
tp_decrease_factor
float
0.0
tp_decrease_factor
check_for_volume
bool
true
check_for_volume
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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