This overlay strategy marks short-term turning points on the price chart and enters SPY option-style trades from them. It plots simple moving averages of highs and lows, draws up and down reversal arrows, and colors bars when a short-term extreme coincides wit
Strategy · Pine Script v5 · On the chart
J8 30 123 SPY Scalping PRO 2 Jerry
J8 30 123 SPY Scalping PRO 2 Jerry is an overlay strategy designed for short-term SPY scalping and spread setups.
GitHub stars3on the repository
Pine versionv5runs as is
Lines of code613
Settings40inputs
LicenceNone statedfile: MPL-2.0
Last update5 months ago27 May 2026
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
613 lines of Pine Script v5 from Tradingview/j8-30-123-spy-scalping-pro-2-jerry-v2.pine, published under MPL-2.0 (file header). 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/
// © goodgains
//@version=5
strategy("J8_30_123_SPY_Scalping_PRO_2_Jerry_V2", overlay=true, margin_long=100, margin_short=100, default_qty_value = 100)
// @keywords: spy, scalping, supertrend, ema, rsi, macd, bollinger-bands, iron-condor, bull-put-spread, bear-call-spread, zlsma, linear-regression, atr-trailing-stop, multi-timeframe, hull-moving-average, credit-spread, strategy-dashboard, barcolor, alerts, eod-exit
// ma function
getMA(src, len, type) =>
ma_value = type == 'MA' ? ta.sma(src, len) : type == 'WMA' ? ta.wma(src, len) : type == 'VWMA' ? ta.vwma(src, len) : type == 'EMA' ? ta.ema(src, len) : type == 'HMA' ? ta.hma(src, len) : ta.sma(src, len)
ma_value
// function to calculate supertrend side
f_mtf_st(st_mult, atr_length, st_type) =>
float mtf_atr = switch st_type
"MA" => ta.sma(ta.tr(false), atr_length)
"WMA" => ta.wma(ta.tr(false), atr_length)
"VWMA" => ta.vwma(ta.tr(false), atr_length)
"EMA" => ta.ema(ta.tr(false), atr_length)
"HMA" => ta.hma(ta.tr(false), atr_length)
mtf_up = hl2 + (st_mult * mtf_atr)
mtf_down = hl2 + (-st_mult * mtf_atr)
var float mtf_st = na
mtf_st := close < mtf_st[1] ? mtf_up : mtf_down
var int mtf_st_side = na
mtf_st_side := close > mtf_st ? 1 : close < mtf_st ? -1 : mtf_st_side[1]
mtf_st_side
// inputs
show_dash_labels = input.bool(true, title = 'Show Dash Labels', group = 'Settings', inline = '1', tooltip = 'Turn on or off all dash labels. Default = YES to show labels.')
show_daytrading_labels = input.bool(true, title = 'Show Day Trade Labels', group = 'Settings', inline = '2', tooltip = 'Select YES for Daytrading to turn off most DASH labels that are not needed')
paint_bars = input.bool(true, title = 'Paint Bars', group = 'Settings', inline = '3', tooltip = 'Yes to PAINT the trend candlesticks. Default YES')
use_alerts = input.bool(true, title = 'Use Alerts', group = 'Settings', inline = '4', tooltip = 'Default NO. Turns on alert for Bear and Bull Spreads.')
// color inputs
up_color = input.color(color.green, title = 'Up⠀⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '1')
dn_color = input.color(color.red, title = '⠀⠀⠀⠀⠀⠀Down⠀⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '1')
label_color = input.color(#ffffff, title = 'Label⠀⠀⠀⠀', group = 'Color Settings', inline = '2')
transition_color = input.color(color.yellow, title = '⠀⠀⠀⠀⠀⠀Transition⠀⠀⠀', group = 'Color Settings', inline = '2')
maxxed_color = input.color(color.new(#32C8FF, 0), title = 'Maxxed⠀⠀⠀', group = 'Color Settings', inline = '3')
rising_color = input.color(color.new(#00FF00, 0), title = '⠀⠀⠀⠀⠀⠀Rising⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '3')
bear_color = input.color(color.new(#E10000,0), title = 'Bear⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '4')
pretrend_color = input.color(color.new(#C87DFF,0), title = '⠀⠀⠀⠀⠀⠀Pretrend⠀⠀⠀', group = 'Color Settings', inline = '4')
ob_color = input.color(color.new(#ABABE1,0), title = 'OB⠀⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '5')
os_color = input.color(color.new(#DCDC80,0), title = '⠀⠀⠀⠀⠀⠀OS⠀⠀⠀⠀⠀⠀⠀', group = 'Color Settings', inline = '5')
// trade inputs
input_price = input.source(close, title = 'Price', group = 'Trade Settings')
use_z_exits = input.bool(true, title = 'Use Z Exits', group = 'Trade Settings', tooltip = ' Must select 1 or 2 exit strategies. DEFAULT YES')
use_ts_exits = input.bool(true, title = 'Use Trailing Stop Exits', group = 'Trade Settings', tooltip = 'Must select 1 or 2 exit strategies. DEFAULT YES')
use_close_eod = input.bool(true, title = 'Use EOD Exits', group = 'Trade Settings', tooltip = 'Yes for daytrading.')
spreads_credit_target = input.float(0.20, title = ' Spread Credit Target', group = 'Trade Settings', tooltip = 'Normally .20 - .25. Goal Risk $70 to Make $30. This will vary based on VIX volatility so adjust it as needed based on the current market')
spreads_size = input.float(10.00, title = ' Spread Size', group = 'Trade Settings', tooltip = 'How big of a spread do you want? Default=10. If entering later (> 12:00 PM) consider 8')
wings = input.float(1.00, title = 'Wings', group = 'Trade Settings', tooltip = 'How big is each wing? Default 1 (Small wings = smaller profits with higher probability) >>NORMALLY .1-.3 DELTA<<')
// supertrend
AtrMult = input.float(1.0, title = 'ATR Mult', group = 'Supertrend', inline = '1' , tooltip = 'This is a trend setting. Default = 1')
nATR = input.int(4, title = 'nATR', group = 'Supertrend', inline = '2' , tooltip = 'This is a trend setting. Default = 4')
AvgType_ST = input.string(title='AvgType ST', defval='HMA', options=['MA', 'WMA', 'VWMA', 'EMA', 'HMA'], group = 'Supertrend', inline = '3')
true_range = ta.tr(false)
atr = getMA(true_range, nATR, AvgType_ST)
ST_UP = hl2 + (AtrMult * atr)
ST_DN = hl2 + (-AtrMult * atr)
var float ST = na
ST := close < ST[1] ? ST_UP : ST_DN
plot(ST, title = 'Supertrend', color = close < ST ? dn_color : up_color, display = display.none)
barcolor(not paint_bars ? na : close < ST ? dn_color : close > ST ? up_color : na)
// limit count
show_arrows = input.bool(true, title = 'Show Arrows', group = 'Settings', inline = '4', tooltip = 'Shows most recent cross over when price crosses the trend.')
limit_arrow_count = input.int(2, title = '' ,group = 'Settings', inline = '4', minval = 0)
var arr_arrows = array.new_label(limit_arrow_count, na)
show_arrowbubble = input.bool(false, title = 'Show Bubbles', group = 'Settings', inline = '5', tooltip = 'Default NO.')
var arr_arrowsbubble = array.new_label(limit_arrow_count, na)
if show_arrows
if ta.crossover(close, ST)
array.unshift(arr_arrows, label.new(x = bar_index, y = low, xloc = xloc.bar_index, yloc = yloc.belowbar, color = up_color, style = label.style_triangleup, size = size.small))
last = array.pop(arr_arrows)
label.delete(last)
if ta.crossunder(close, ST)
array.unshift(arr_arrows, label.new(x = bar_index, y = low, xloc = xloc.bar_index, yloc = yloc.abovebar, color = dn_color, style = label.style_triangledown, size = size.small))
last = array.pop(arr_arrows)
label.delete(last)
if show_arrowbubble
if ta.crossover(close, ST)
array.unshift(arr_arrowsbubble, label.new(x = bar_index, y = low, xloc = xloc.bar_index, yloc = yloc.belowbar, color = up_color, style = label.style_label_up, size = size.small, text = str.tostring(high[1])))
last = array.pop(arr_arrowsbubble)
label.delete(last)
if ta.crossunder(close, ST)
array.unshift(arr_arrowsbubble, label.new(x = bar_index, y = low, xloc = xloc.bar_index, yloc = yloc.abovebar, color = dn_color, style = label.style_label_down, size = size.small,text = str.tostring(low[1])))
last = array.pop(arr_arrowsbubble)
label.delete(last)
// iron condor vars
IC_Buy_Put2 = math.round(close, 0) - (spreads_size / 2)
IC_Sell_Puts2 = math.round(close, 0) - (spreads_size / 2 - wings)
IC_Sell_Call2 = math.round(close, 0) + (spreads_size / 2 - wings)
IC_Buy_Call2 = math.round(close, 0) + (spreads_size / 2)
Width = spreads_size - (2 * (wings))
// criteria 1 supertrend cond
Buy_Signal_Supertrend1 = close > ST
Sell_Signal_Supertrend1 = close < ST
// criteria 2 ema trend direction
ema_length1 = input.int(13, title = 'EMA Length 1', group = 'EMA Trend Settings', inline = '1', tooltip = 'Default 13 scalping. Can try 10 for scalping')
ema_length2 = input.int(50, title = 'EMA Length 2', group = 'EMA Trend Settings', inline = '2', tooltip = 'Default 50 scalping. Long Term 50, 100, 200. Short Term = 2, 5, 8, 20')
ema_length3 = input.int(75, title = 'EMA Length 3', group = 'EMA Trend Settings', inline = '3', tooltip = 'Default 75 scalping. Try 100 for fewer signals')
avgtype_EMA = input.string(title ='Avg Type', defval='EMA', options=['MA', 'WMA', 'VWMA', 'EMA', 'HMA'], group = 'EMA Trend Settings', inline = '4')
ma1 = getMA(input_price, ema_length1, avgtype_EMA)
ma2 = getMA(input_price, ema_length2, avgtype_EMA)
ma3 = getMA(input_price, ema_length3, avgtype_EMA)
plot(ma1, title = 'MA 1', color = color.aqua)
plot(ma2, title = 'MA 2', color = color.red)
plot(ma3, title = 'MA 3', color = color.fuchsia)
// ema condition statement
// #----- Bullish Criteria
ECondition1 = ma1 > ma2 and ma1 > ma3 ? 1 : 0
Econdition2 = ma2 > ma3 ? 1 : 0
Econdition3 = ma1 > ma1[1] and ma1[1] > ma1[2] ? 1 : 0
Econdition4 = ma2 > ma2[1] ? 1 : 0
Econdition5 = ma3 > ma3[1] ? 1 : 0
ECondition6 = close > ma1 ? 1 : 0
// #----- Bearish Criteria
ECondition10 = ma1 < ma2 and ma1 < ma3 ? 1 : 0
Econdition11 = ma2 < ma3 ? 1 : 0
Econdition12 = ma1 < ma1[1] and ma1[1] < ma1[2] ? 1 : 0
Econdition13 = ma2 < ma2[1] ? 1 : 0
Econdition14 = ma3 < ma3[1] ? 1 : 0
ECondition15 = close < ma1 ? 1 : 0
// #----- Criteria 2.0 EMA Conditions (THIS ONE TESTED BETTER)
EMA_Bullish = ma1 > ma2 and ma1 > ma3 and ma3 > ma3[1]
EMA_Bearish = ma1 < ma2 and ma1 < ma3 and ma3 < ma3[1]
// #----- Criteria 2.1 EMA Conditions (DID NOT TEST WELL - Was too limiting)
// EMA_bullish = econdition1 + econdition2 +econdition3 + econdition4 + econdition5 + econdition6 == 6
// EMA_Bearish = econdition10 + econdition11 +econdition12 + econdition13 + econdition14 + econdition15 == 6
// criteria 3 rsi
show_RSI_label = input.bool(false, title = 'Show RSI Label', group = 'RSI Settings', inline = '1', tooltip = 'Default No')
rsi_ob = input.int(70, title = 'RSI OB', group = 'RSI Settings', inline = '2', tooltip = 'Default 70. Consider entering spreads between ? OB and OS range.')
rsi_os = input.int(35, title = 'RSI OS', group = 'RSI Settings', inline = '2', tooltip = 'Default 70. Consider entering spreads between ? OB and OS range.')
rsi_length = input.int(12, title = 'RSI Length', group = 'RSI Settings', inline = '2', tooltip = 'Default 12. Consdier 14 for testing')
rsi_value = ta.rsi(input_price, rsi_length)
plot(rsi_value, title = 'RSI', color = rsi_value > rsi_ob ? maxxed_color : rsi_value < rsi_os ? pretrend_color : rsi_value > rsi_value[1] ? rising_color : bear_color, display = display.none)
plot(rsi_ob, title = 'Overbought', display = display.none, color = ob_color)
plot(rsi_os, title = 'Oversold', display = display.none, color = os_color)
plotshape(ta.crossover(rsi_value, rsi_os) ? rsi_os : na, title = 'RSI Cross OS', style = shape.triangleup,
size = size.normal, location = location.absolute, display = display.none, color = up_color)
plotshape(ta.crossunder(rsi_value, rsi_ob) ? rsi_ob : na, title = 'RSI Cross OB', style = shape.triangledown,
size = size.normal, location = location.absolute, display = display.none, color = dn_color)
rsi_label = rsi_value > rsi_ob ? "3 Maxxed"
: rsi_value < rsi_os ? "3 Pre-trend"
: rsi_value > rsi_value[1] ? "3 Bull " + str.tostring(math.round(rsi_value, 0))
: "3 Bear " + str.tostring(math.round(rsi_value, 0))
rsi_label_color = rsi_value > rsi_ob ? maxxed_color
: rsi_value < rsi_os ? pretrend_color
: rsi_value > rsi_value[1] ? rising_color
: bear_color
rsi_condition = rsi_value > rsi_ob ? 1 : rsi_value < rsi_os ? 2 : rsi_value > rsi_value[1] ? 3 : 4
RSI_Maxxed = rsi_condition == 1
RSI_Pretrend = rsi_condition == 2
RSI_Bullish = rsi_condition == 3
RSI_Bearish = rsi_condition == 4
// criteria 4 macd dots
bb_length = input.int(10, title = 'BB Length', group = 'MACD Dots', inline = '1', tooltip = 'Default 10')
bb_dev = input.float(1.0, title = 'BB Deviation', group = 'MACD Dots', inline = '2', tooltip = 'Default 1')
macd_fast = input.int(12, title = 'MACD Fast', group = 'MACD Dots', inline = '3', tooltip = 'Default 12')
macd_slow = input.int(26, title = 'MACD Slow', group = 'MACD Dots', inline = '4', tooltip = 'Default 26')
macd_length = input.int(5, title = 'MACD Length', group = 'MACD Dots', inline = '5', tooltip = 'Default 5')
[MACD_Line, signalLine, histLine] = ta.macd(close, macd_fast, macd_slow, macd_length)
[BB_middle, BB_Upper, BB_Lower] = ta.bb(MACD_Line, bb_length, bb_dev)
plot(MACD_Line, title = 'MACD Dots', display = display.none,
color = MACD_Line > MACD_Line[1] and MACD_Line > BB_Upper and MACD_Line < 0 ? color.yellow
: MACD_Line > MACD_Line[1] and MACD_Line > 0 ? color.green
: MACD_Line < MACD_Line[1] and MACD_Line > BB_Upper ? color.new(#097209,0)
: MACD_Line < MACD_Line[1] and MACD_Line < BB_Lower ? color.red
: MACD_Line > MACD_Line[1] and MACD_Line < BB_Lower ? color.new(#8a0a0a,0)
: color.gray)
plot(MACD_Line, title = 'MACD Line', display = display.none)
plot(BB_middle, title = 'BB Middle', display = display.none)
plot(BB_Upper, title = 'BB Upper', display = display.none)
plot(BB_Upper, title = 'BB Lower', display = display.none)
// #----- Jerry MACD Dot Color: 1 = yellow, 2 = green, 3 = dark green, 4 = red, 5 = dark red, 6 = gray
MACD_Dot_Color = MACD_Line > MACD_Line[1] and MACD_Line > BB_Upper and MACD_Line < 0 ? 1
: MACD_Line > MACD_Line[1] and MACD_Line > BB_Upper and MACD_Line > 0 ? 2
: MACD_Line < MACD_Line[1] and MACD_Line > BB_Upper ? 3
: MACD_Line < MACD_Line[1] and MACD_Line < BB_Lower ? 4
: MACD_Line > MACD_Line[1] and MACD_Line < BB_Lower ? 5
: 6
// #----- MACD Dot Color used for determining momentum
MACD_dot_not_red = MACD_Dot_Color != 4 and MACD_Dot_Color != 5
// #MACD_dot_not_green = macd_Dot_Color != 2 and macd_Dot_Color != 3 and macd_Dot_Color != 1 #and yellow
MACD_dot_not_green = MACD_Dot_Color > 3
// #---------- Iron Condor Entry Criteria----------#
show_IC_label = input.bool(false, title = 'Show Iron Condor Label', group = 'Iron Condor Settings', inline = '1'
, tooltip = 'Default NO. This labels shows enter or exit IC')
use_ic_alerts = input.bool(false, title = 'Alerts', group = 'Iron Condor Settings', inline = '2')
IC_MACDDotValue = input.float(0.25, title = 'IC MACD Dot Value', group = 'Iron Condor Settings', inline = '3',
tooltip = 'MACD dots must be between this value and the - value. Default .25')
IC_MACDDotEXITValue = input.float(0.50, title = 'IC MACD Dot Value', group = 'Iron Condor Settings', inline = '4',
tooltip = 'Consider exiting iron condor if above this value.')
MACDDot0 = MACD_Line > -IC_MACDDotValue and MACD_Line < IC_MACDDotValue
MACDDot1 = MACDDot0[1]
MACDDot2 = MACDDot0[2]
MACDDot3 = MACDDot0[3]
MACDDot4 = MACDDot0[4]
// #----- Criteria 4 Iron Condor Condition. APPLIES ONLY TO SPY Ticker
Spy_IC = syminfo.ticker(syminfo.tickerid) == "SPY" ? true : false
IronCondor = Spy_IC and MACDDot0 and MACDDot1 and MACDDot2 and MACDDot3 and MACDDot4
Exit_Iron_Condor = Spy_IC and ta.crossover(MACD_Line,IC_MACDDotEXITValue)
ic_label = IronCondor ? "Enter IC"
: Exit_Iron_Condor ? "Exit IC"
: na
ic_label_color = IronCondor ? color.white
: Exit_Iron_Condor ? color.red
: color.gray
if use_ic_alerts and barstate.islast
if IronCondor
alert('Iron Condor Entry', alert.freq_once_per_bar_close)
if Exit_Iron_Condor
alert('Exit Iron Condor', alert.freq_once_per_bar_close)
// criteria 5 1minute
min1_st_mult = 1.0
min1_st_atr_length = 4
min1_st_avgtype = 'HMA'
min1_st_timeframe = '1'
min1_st_array = request.security_lower_tf(syminfo.tickerid, min1_st_timeframe, f_mtf_st(min1_st_mult, min1_st_atr_length, min1_st_avgtype))
var float min1_st_side = na
min1_st_side := array.size(min1_st_array) > 0 ? array.last(min1_st_array) : 0
// bgcolor(min1_st_side == 1 ? color.new(color.green,50) : min1_st_side == -1 ? color.new(color.red,80) : na)
// label.new(bar_index, high, str.tostring(min1_st_array))
// Buy Signals Defined
mtf1_st_mult = 1.0
mtf1_st_atr_length = 4
mtf1_st_timeframe = '30'
mtf_st_side = request.security(syminfo.tickerid, mtf1_st_timeframe, f_mtf_st(mtf1_st_mult, mtf1_st_atr_length, 'HMA')[1], lookahead = barmerge.lookahead_on)
Bull_Put_Spread = Buy_Signal_Supertrend1 and EMA_Bullish and rsi_value >= 50 and MACD_dot_not_red and mtf_st_side == 1 and min1_st_side == 1
Bear_Call_Spread = Sell_Signal_Supertrend1 and EMA_Bearish and rsi_value <= 50 and MACD_dot_not_green and mtf_st_side == -1 and min1_st_side == -1
if use_alerts and barstate.islast
if Bull_Put_Spread
alert('SELL Bull Spread', alert.freq_once_per_bar_close)
if Bear_Call_Spread
alert('SELL Bear Call Spread', alert.freq_once_per_bar_close)
// ZLSMA Exit
length_Z_exit = input.int(50, title = 'Z Exit Length', group = 'ZLSMA Settings', inline = '1')
length2_Z_exit = input.int(5, title = 'Z Exit Length 2', group = 'ZLSMA Settings', inline = '2')
lsma = ta.linreg(close, length_Z_exit,0)
lsma2 = ta.linreg(lsma, length_Z_exit,0)
b = lsma - lsma2
z_2 = lsma + b
trig2 = ta.ema(z_2, length2_Z_exit)
// #----- Exit Strategy 1 Conditions
ZLSMA_Buy_Exit = use_z_exits and ta.crossunder(z_2, trig2)
ZLSMA_Sell_Exit = use_z_exits and ta.crossover(z_2, trig2)
// create signals
strategy_start = input.time(timestamp("01 January 2020 00:00:00 UTC-5"), "Strategy Start Date", group = "Additional Strategy Settings")
use_trading_hours = input.bool(false, title = "Use Trading Hours", tooltip = "This is ignored if the chart timeframe is greater than or equal to the daily timeframe.", group = "Additional Strategy Settings")
trading_time = input.session("1000-1557", title = "Trading Time", tooltip = "This uses Eastern Time Zone or U.S. NY Market Hours.", group = "Additional Strategy Settings")
trading_hours_cond = not use_trading_hours or time("",trading_time, "America/New_York")
past_strategy_start_date = time >= strategy_start ? true : false
long_trades = input.bool(true, title = "Long Trades", tooltip = "Do we want to take long trades?" , group = "Additional Strategy Settings")
short_trades = input.bool(true, title = "Short Trades", tooltip = "Do we want to take short trades?" , group = "Additional Strategy Settings")
long_entry = long_trades and trading_hours_cond and Bull_Put_Spread
long_exit = long_trades and trading_hours_cond and ZLSMA_Buy_Exit
short_entry = short_trades and trading_hours_cond and Bear_Call_Spread
short_exit = short_trades and trading_hours_cond and ZLSMA_Sell_Exit
// trailing stop
atr_trailing_stop = input.bool(true, title = 'ATR Trailing Stop', group = 'Trailing Stop', inline = '1')
atr_mult = input.float(2.00, title = 'ATR Mult', group = 'Trailing Stop', inline = '2')
atr_length = input.int(14, title = 'ATR Length', group = 'Trailing Stop', inline = '3')
atr_calculation = ta.atr(atr_length) * atr_mult
J8_TS = atr_calculation / close * 100 * atr_mult
entryPrice = strategy.position_avg_price
plot(entryPrice, title = 'Average Price', color = color.gray, style = plot.style_circles, display = display.none)
var float long_ts_price = na
var float short_ts_price = na
long_ts_price := long_entry[1] ? entryPrice - atr_calculation : entryPrice > 0 ? math.max(long_ts_price[1], high - atr_calculation)
: na
short_ts_price := short_entry[1] ? entryPrice + atr_calculation : entryPrice > 0 ? math.min(short_ts_price[1], low + atr_calculation)
: na
plot(long_ts_price > 0 ? long_ts_price : short_ts_price > 0 ? short_ts_price : na, title = 'Trailing Stop',
color = color.fuchsia, style = plot.style_circles, display = display.none)
long_ts = use_ts_exits and atr_trailing_stop and low <= long_ts_price
short_ts = use_ts_exits and atr_trailing_stop and high >= short_ts_price
if past_strategy_start_date
if trading_hours_cond
if long_entry
strategy.entry(id = 'LE', comment = "SELL BULL PS", direction = strategy.long)
if short_entry
strategy.entry(id = 'SS_E', comment = "SELL BEAR CS", direction = strategy.short)
if long_exit
strategy.close(id = 'LE', comment = 'Closed')
if short_exit
strategy.close(id = 'SS_E', comment = 'Closed')
if long_ts
strategy.close(id = 'LE', comment = 'L_TS')
if short_ts
strategy.close(id = 'SS_E', comment = 'SS_TS')
if use_trading_hours and not trading_hours_cond
strategy.close_all(comment = 'EOD', immediately = true)
// DASHBOARD
initial_capital = strategy.initial_capital
LabelSize = input.string(defval="small", options=["small", "medium", "large"], group = "Dashboard Settings", title = "Label Size", inline = '1')
label_size = LabelSize == "small" ? size.small : LabelSize == "medium" ? size.normal : LabelSize == "large" ? size.large : size.small
dashboard_text_color = input.color(color.new(#000000, 0 ), "Text Color", group = "Dashboard Settings", inline = '2')
bull_color = input.color(color.new(#04fc04,0), "Bull Color", group = "Dashboard Settings", inline = '2')
dash_bear_color = input.color(color.new(#fc0404,0), "Bear Color", group = "Dashboard Settings", inline = '2')
neutral_color = input.color(color.new(color.white,0), "Neutral Color", group = "Dashboard Settings", inline = '2')
var table d = table.new(position.bottom_right, 1, 20, border_width = 1, frame_color = #000000)
//trade size function
get_trade_size() =>
total_contracts = 0.00
for i = 0 to strategy.closedtrades-1
total_contracts += math.abs(strategy.closedtrades.size(i))
total_contracts
trade_size = math.round(get_trade_size() / strategy.closedtrades,0)
//lots of values
get_dashboard_values_function() =>
combined_dollars_f = 0.00
trades_pnl_f = array.new_float(0)
winning_trade_sum_f = array.new_float(0)
wins_combined_dollars_f = 0.00
losing_trade_sum_f = array.new_float(0)
loss_combined_dollars_f = 0.00
for i = 0 to strategy.closedtrades-1
combined_dollars_f += strategy.closedtrades.entry_price(i) * trade_size
array.push(trades_pnl_f, strategy.closedtrades.profit(i))
if strategy.closedtrades.profit(i) > 0
array.push(winning_trade_sum_f, strategy.closedtrades.profit(i))
wins_combined_dollars_f += strategy.closedtrades.entry_price(i) * trade_size
if strategy.closedtrades.profit(i) < 0
array.push(losing_trade_sum_f, strategy.closedtrades.profit(i))
loss_combined_dollars_f += strategy.closedtrades.entry_price(i) * trade_size
max_win_f = array.max(trades_pnl_f)
max_loss_f = array.min(trades_pnl_f)
win_trade_sum_f = array.sum(winning_trade_sum_f)
loss_trade_sum_f = array.sum(losing_trade_sum_f)
[combined_dollars_f, max_win_f, max_loss_f, win_trade_sum_f, wins_combined_dollars_f, loss_trade_sum_f, loss_combined_dollars_f]
// Buy and Hold
buyAndHoldReturnInAccount(from) =>
if time >= from
money = open * syminfo.pointvalue
var begin = strategy.convert_to_account(money)
(strategy.convert_to_account(money) - begin) / begin * 100
percent = (close - begin) / begin * 100
//max win/loss stuff
find_entry_value_win_loss(value) =>
entryP = 0.00
for i = 0 to strategy.closedtrades-1
if value == strategy.closedtrades.profit(i)
entryP := strategy.closedtrades.entry_price(i)
entryP
//avg bars in tradetable
avgBarsInTrade() =>
result = 0
win_result = 0
loss_result = 0
for i = 0 to strategy.closedtrades-1
result += strategy.closedtrades.exit_bar_index(i) - strategy.closedtrades.entry_bar_index(i) + 1
if strategy.closedtrades.profit(i) > 0
win_result += strategy.closedtrades.exit_bar_index(i) - strategy.closedtrades.entry_bar_index(i) + 1
if strategy.closedtrades.profit(i) < 0
loss_result += strategy.closedtrades.exit_bar_index(i) - strategy.closedtrades.entry_bar_index(i) + 1
avg_return = math.round(strategy.closedtrades > 0 ? result / strategy.closedtrades : na)
win_return = math.round(strategy.closedtrades > 0 ? win_result / strategy.wintrades : na)
loss_return = math.round(strategy.closedtrades > 0 ? loss_result / strategy.losstrades : na)
[avg_return, win_return, loss_return]
// #buy and hold return
show_buy_and_hold = input.bool(true, "Show Buy & Hold Return", group = "Dashboard Settings", inline = '8')
buy_hold_timeframe = input.time(timestamp("01 July 2021 00:00:00 UTC-5"), "Start Date", group = "Dashboard Settings", inline = '8')
new_bh_return = math.round(buyAndHoldReturnInAccount(buy_hold_timeframe),0)
if (barstate.isconfirmed or barstate.islast)
//#total closed trades
show_total_closed_trades = input.bool(true, "Show Total Closed Trades", group = "Dashboard Settings", inline = '3')
total_closed_orders = strategy.closedtrades
// #total winning/losing trades
show_winning_losing_trades_counter = input.bool(true, "Show Total W/L Trades", group = "Dashboard Settings", inline = '4')
winning_trades = strategy.wintrades
losing_trades = strategy.losstrades
win_lose_color = winning_trades > losing_trades ? bull_color : dash_bear_color
// #profit factor
show_profit_factor = input.bool(true, "Show Profit Factor", group = "Dashboard Settings", inline = '5')
target_profit_factor = input.float(1.50, " | Target Profit Factor", group = "Dashboard Settings", tooltip = 'A profit factor of 1.5 means that if you invest $1, you can expect to earn $1.5. The profit factor is the ratio between gross profits and gross losses.', inline = '5')
profit_factor = math.round(strategy.grossprofit / strategy.grossloss,2)
profit_factor_color = profit_factor > target_profit_factor ? bull_color : dash_bear_color
// #win rate
show_percent_profitable = input.bool(true,"Show Percent Profitable", group = "Dashboard Settings", inline = '6')
target_win_rate = input.float(50.00, " | Target Win %", group = "Dashboard Settings", inline = '6')
win_rate = math.round(winning_trades / total_closed_orders * 100, 1)
win_rate_color = win_rate >= target_win_rate ? bull_color : dash_bear_color
[combined_dollars, max_win, max_loss, winning_trade_sum, wins_combined_dollars, losing_trade_sum, loss_combined_dollars] = get_dashboard_values_function()
// #net profit on capital$ and % - % is based off account size
show_net_profit = input.bool(true,"Show Net Profit", group = "Dashboard Settings", inline = '7')
target_roi_on_capital = input.float(20.00, " | Target ROI %", group = "Dashboard Settings", inline = '7', tooltip = 'What roi on your trading capital do you want? (this will color net profit white if condition is met)')
net_profit = math.round(strategy.netprofit,0)
avg_trade_size = math.round(combined_dollars/total_closed_orders,0)
net_profit_roi_pct = math.round(net_profit / avg_trade_size * 100 ,1)
net_profit_roi_pct_color = net_profit > 0 and net_profit_roi_pct < target_roi_on_capital ? color.white : net_profit_roi_pct >= target_roi_on_capital ? bull_color : dash_bear_color
// #largest winning trade - % is based off position size
show_max_win_trade = input.bool(true, "Show Largest Winning Trade", group = "Dashboard Settings", inline = '9')
max_win_entry = find_entry_value_win_loss(max_win)
max_win_pct = math.round((max_win / (max_win_entry * trade_size) * 100),1)
// #largest losing trade - % is based off position size
show_max_loss_trade = input.bool(true, "Show Largest Losing Trade", group = "Dashboard Settings", inline = '10')
max_loss_entry = find_entry_value_win_loss(max_loss)
max_loss_pct = math.round((max_loss / (max_loss_entry * trade_size) * 100),1)
// #avg trade
show_avg_trade = input.bool(true, "Show Avg. Trade", group = "Dashboard Settings", inline = '11')
avg_trade = math.round(net_profit / total_closed_orders,2)
avg_trade_roi = math.round((net_profit / combined_dollars *100),1)
[avg_duration,avg_win_duration, avg_loss_duration] = avgBarsInTrade()
avg_trade_color = avg_trade > 0 ? bull_color : dash_bear_color
// #avg winning trade
show_avg_winning_trade = input.bool(true, "Show Avg. Winning Trade", group = "Dashboard Settings", inline = '12')
target_roi_on_wins = input.float(5.00, " | Target ROI %", group = "Dashboard Settings", inline = '12', tooltip = 'What roi on your trading capital do you want? (this will color net profit white if condition is met)')
avg_winning_trade = math.round(winning_trade_sum/winning_trades,2)
win_trade_roi = math.round((winning_trade_sum / wins_combined_dollars *100) ,1)
avg_win_color = win_trade_roi >= target_roi_on_wins and profit_factor > target_profit_factor ? neutral_color : bull_color
// #avg losing trade
show_avg_losing_trade = input.bool(true, "Show Avg. Losing Trade", group = "Dashboard Settings", inline = '13')
avg_losing_trade = math.round(losing_trade_sum/losing_trades,2)
loss_trade_roi = math.round((losing_trade_sum / loss_combined_dollars *100) ,1)
avg_loss_color = dash_bear_color
// #MAX DRAWDOWN - % is based off account size
show_max_dd = input.bool(true, "Show Max DD", group = "Dashboard Settings", inline = '14')
max_dd = strategy.max_drawdown
max_dd_pct = math.round(max_dd / initial_capital * 100, 2)
// #OPEN TRADE PNL
show_open_trade = input.bool(true, "Show Open Trade", group = "Dashboard Settings", inline = '15')
show_open_trade_fixed = show_open_trade and strategy.opentrades != 0
open_trade_pnl = strategy.openprofit
open_trade_pct = math.round(open_trade_pnl / (strategy.position_avg_price * trade_size) * 100,2)
open_trade_color = open_trade_pnl > 0 ? bull_color : dash_bear_color
// STRATEGY
if show_RSI_label
table.cell(d, 0, 1, text = rsi_label, width = 0, bgcolor = rsi_label_color, text_size = label_size, text_color = dashboard_text_color)
if show_IC_label
table.cell(d, 0, 2, text = ic_label, width = 0, bgcolor = ic_label_color, text_size = label_size, text_color = dashboard_text_color)
table.cell(d, 0, 0, text = "J8 TS: " + str.tostring(math.round(J8_TS,2)) + "%", width = 0, bgcolor = color.new(#ffafaf,0), text_size = label_size, text_color = dashboard_text_color)
//FOR DASHBOARD
if show_total_closed_trades
table.cell(d, 0, 3, text = "Total: " + str.tostring(total_closed_orders), width = 0, bgcolor = neutral_color, text_size = label_size, text_color = dashboard_text_color)
if show_winning_losing_trades_counter
table.cell(d, 0, 4, text ="W: " + str.tostring(winning_trades) + " | L: " + str.tostring(losing_trades) , width = 0, bgcolor = win_lose_color, text_size = label_size, text_color = dashboard_text_color)
if show_net_profit
table.cell(d, 0, 5, text = "Net Profit: $" + str.tostring(net_profit) + " on $" + str.tostring(avg_trade_size) + " | ROI " + str.tostring(net_profit_roi_pct) + "%" , width = 0, bgcolor = net_profit_roi_pct_color, text_size = label_size, text_color = dashboard_text_color)
if show_buy_and_hold
table.cell(d, 0, 6, text ="B&H: " + str.tostring(new_bh_return) + "%", width = 0, bgcolor = neutral_color, text_size = label_size, text_color = dashboard_text_color)
if show_daytrading_labels
if show_profit_factor
table.cell(d, 0, 7, text = "Profit Factor: " + str.tostring(profit_factor) + "x" , width = 0, bgcolor = profit_factor_color, text_size = label_size, text_color = dashboard_text_color)
if show_percent_profitable
table.cell(d, 0, 8, text = "WinRate: " + str.tostring(win_rate) + "%" , width = 0, bgcolor = win_rate_color, text_size = label_size, text_color = dashboard_text_color)
if show_max_win_trade
table.cell(d, 0, 9, text = "MaxWin: $" + str.tostring(max_win) + " | " + str.tostring(max_win_pct) + "%", width = 0, bgcolor = bull_color, text_size = label_size, text_color = dashboard_text_color)
if show_max_loss_trade
table.cell(d, 0, 10, text = "MaxLoss: $" + str.tostring(max_loss) + " | " + str.tostring(max_loss_pct) + "%", width = 0, bgcolor = dash_bear_color, text_size = label_size, text_color = dashboard_text_color)
if show_avg_trade
table.cell(d, 0, 11, text = "Avg trade: $" + str.tostring(math.round(avg_trade,0)) + " | " + str.tostring(avg_trade_roi) + "%" + " | " + str.tostring(avg_duration) + "bars", width = 0, bgcolor = avg_trade_color, text_size = label_size, text_color = dashboard_text_color)
if show_avg_winning_trade
table.cell(d, 0, 12, text = "Avg Win: $" + str.tostring(math.round(avg_winning_trade,0)) + " | " + str.tostring(win_trade_roi) + "%" + " | " + str.tostring(avg_win_duration) + "bars", width = 0, bgcolor = avg_win_color, text_size = label_size, text_color = dashboard_text_color)
if show_avg_losing_trade
table.cell(d, 0, 13, text = "Avg Loss: $" + str.tostring(math.round(avg_losing_trade,0)) + " | " + str.tostring(loss_trade_roi) + "%" + " | " + str.tostring(avg_loss_duration) + "bars" , width = 0, bgcolor = avg_loss_color, text_size = label_size, text_color = dashboard_text_color)
if show_max_dd
table.cell(d, 0, 14, text = "Max DD: $" + str.tostring(math.round(max_dd,0)) + " | " + str.tostring(max_dd_pct) + "%", width = 0, bgcolor = dash_bear_color, text_size = label_size, text_color = dashboard_text_color)
if show_open_trade_fixed
table.cell(d, 0, 15, text = "OpenT: $" + str.tostring(open_trade_pnl) + " | " + str.tostring(open_trade_pct) + "%" , width = 0, bgcolor = open_trade_color, text_size = label_size, text_color = dashboard_text_color)
Overview
J8 30 123 SPY Scalping PRO 2 Jerry combines multiple Exponential Moving Averages with a custom Supertrend calculation based on flexible moving average types and ATR lengths to plot signal arrows and colored bar trends directly on the price chart. The script features customizable exit rules including ATR trailing stops, Z-exits, and end-of-day exits. It includes optional dashboard panels and customizable styling, though it lacks a traditional fixed stop loss by default.
- Custom Supertrend calculation with Hull Moving Average support
- Multiple Exponential Moving Average trend filters
- Configurable exit modes including trailing stops and EOD exit
- On-chart dashboard labels and custom candlestick coloring
Details
Published by
g-moe on GitHub
Code credit
goodgains, as written in the script's header
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
Trend, Moving averages, Scalping, Screeners & dashboards
Markets
Stocks, Indices
Timeframes
M1-M5, M15-H1
Risk Notes
- The strategy enters trades without a stop loss
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Show Dash Labels | bool | true | show_dash_labels |
| Show Day Trade Labels | bool | true | show_daytrading_labels |
| Paint Bars | bool | true | paint_bars |
| Use Alerts | bool | true | use_alerts |
| Up⠀⠀⠀⠀⠀⠀ | color | color.green | up_color |
| ⠀⠀⠀⠀⠀⠀Down⠀⠀⠀⠀⠀⠀ | color | color.red | dn_color |
| Label⠀⠀⠀⠀ | color | #ffffff | label_color |
| ⠀⠀⠀⠀⠀⠀Transition⠀⠀⠀ | color | color.yellow | transition_color |
| Maxxed⠀⠀⠀ | color | color.new(#32C8FF, 0) | maxxed_color |
| ⠀⠀⠀⠀⠀⠀Rising⠀⠀⠀⠀⠀ | color | color.new(#00FF00, 0) | rising_color |
| Bear⠀⠀⠀⠀⠀ | color | color.new(#E10000,0) | bear_color |
| ⠀⠀⠀⠀⠀⠀Pretrend⠀⠀⠀ | color | color.new(#C87DFF,0) | pretrend_color |
Show all 40 settings
| Setting | Type | Default | Variable |
|---|---|---|---|
| OB⠀⠀⠀⠀⠀⠀ | color | color.new(#ABABE1,0) | ob_color |
| ⠀⠀⠀⠀⠀⠀OS⠀⠀⠀⠀⠀⠀⠀ | color | color.new(#DCDC80,0) | os_color |
| Price | source | close | input_price |
| Use Z Exits | bool | true | use_z_exits |
| Use Trailing Stop Exits | bool | true | use_ts_exits |
| Use EOD Exits | bool | true | use_close_eod |
| Spread Credit Target | float | 0.20 | spreads_credit_target |
| Spread Size | float | 10.00 | spreads_size |
| Wings | float | 1.00 | wings |
| ATR Mult | float | 1.0 | AtrMult |
| nATR | int | 4 | nATR |
| AvgType ST | string | HMA | AvgType_ST |
| Show Arrows | bool | true | show_arrows |
| limit_arrow_count | int | 2 | limit_arrow_count |
| Show Bubbles | bool | false | show_arrowbubble |
| EMA Length 1 | int | 13 | ema_length1 |
| EMA Length 2 | int | 50 | ema_length2 |
| EMA Length 3 | int | 75 | ema_length3 |
| Avg Type | string | EMA | avgtype_EMA |
| Show RSI Label | bool | false | show_RSI_label |
| RSI OB | int | 70 | rsi_ob |
| RSI OS | int | 35 | rsi_os |
| RSI Length | int | 12 | rsi_length |
| BB Length | int | 10 | bb_length |
| BB Deviation | float | 1.0 | bb_dev |
| MACD Fast | int | 12 | macd_fast |
| MACD Slow | int | 26 | macd_slow |
| MACD Length | int | 5 | macd_length |
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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