Calculates four selectable moving averages (SMA, EMA, WMA, RMA, HMA, or ALMA) with custom periods to generate crossover trading signals directly on the price 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
192 lines of Pine Script v4 from 4 MA Strategy + Position Management.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.
4 MA Strategy + Position Management.pine
//@version=4
// This is a simple crossover Moving Average strategy, good for long term crypto trades.
// It buys when the MA "X" crosses up the MA "Y", viceversa for shorts.
// Both MAs are selectable from the Inputs section in the front panel.
// There is also a Position Management option thats
// sizes positions to have the same USD risk (using leverage) on each trade,
// based on the percentage distance to the stop loss level.
// If you turn this option on you will see how the profit
// grows exponentially while the drawdown percentage almost remains the same.
strategy("4 MA Strat", overlay=true, pyramiding=1,
default_qty_type=strategy.percent_of_equity,
default_qty_value=100,
commission_value = 0.04,
initial_capital=10000,
process_orders_on_close=false)
direction = input(0, title = "Strategy Direction", type=input.integer, minval=-1, maxval=1)
strategy.risk.allow_entry_in(direction == 0 ? strategy.direction.all : (direction < 0 ? strategy.direction.short : strategy.direction.long))
//Inputss
PSMGMT=input(defval=false, title="Position Management")
risk_per_trade=input(defval=5, title="Risk Per Trade % (for PSMGMT)", step=0.5)*.01
//SL & TP Inputs
i_SL=input(true, title="Use Swing Lo/Hi Stop Loss & Take Profit")
i_SwingLookback=input(10, title="Swing Lo/Hi Lookback")
i_SLExpander=input(defval=0, step=1, title="SL Expander")
i_MAFilter=input(false, title="Use MA4 as Bull / Bear filter")
//MA Type Selector
MAtype = input(false, title="----------------MA Selector-----------------")
MA1Period = input(9, title="MA1 Period")
MA1Type = input(title="MA1 Type", defval="EMA", options=["RMA", "SMA", "EMA", "WMA", "HMA", "ALMA"])
MA2Period = input(21, title="MA2 Period")
MA2Type = input(title="MA2 Type", defval="EMA", options=["RMA", "SMA", "EMA", "WMA", "HMA", "ALMA"])
MA3Period = input(50, title="MA3 Period")
MA3Type = input(title="MA3 Type", defval="SMA", options=["RMA", "SMA", "EMA", "WMA", "HMA", "ALMA"])
MA4Period = input(100, title="MA4 Period")
MA4Type = input(title="MA4 Type", defval="SMA", options=["RMA", "SMA", "EMA", "WMA", "HMA", "ALMA"])
//MA Selector
MA1 = if MA1Type == "SMA"
sma(close, MA1Period)
else
if MA1Type == "EMA"
ema(close, MA1Period)
else
if MA1Type == "WMA"
wma(close, MA1Period)
else
if MA1Type == "RMA"
rma(close, MA1Period)
else
if MA1Type == "HMA"
hma(close, MA1Period)
else
if MA1Type == "ALMA"
alma(close, MA1Period, 0.85, 6)
MA2 = if MA2Type == "SMA"
sma(close, MA2Period)
else
if MA2Type == "EMA"
ema(close, MA2Period)
else
if MA2Type == "WMA"
wma(close, MA2Period)
else
if MA2Type == "RMA"
rma(close, MA2Period)
else
if MA2Type == "HMA"
hma(close, MA2Period)
else
if MA2Type == "ALMA"
alma(close, MA2Period, 0.85, 6)
MA3 = if MA3Type == "SMA"
sma(close, MA3Period)
else
if MA3Type == "EMA"
ema(close, MA3Period)
else
if MA3Type == "WMA"
wma(close, MA3Period)
else
if MA3Type == "RMA"
rma(close, MA3Period)
else
if MA3Type == "HMA"
hma(close, MA3Period)
else
if MA3Type == "ALMA"
alma(close, MA3Period, 0.85, 6)
MA4 = if MA4Type == "SMA"
sma(close, MA4Period)
else
if MA4Type == "EMA"
ema(close, MA4Period)
else
if MA4Type == "WMA"
wma(close, MA4Period)
else
if MA4Type == "RMA"
rma(close, MA4Period)
else
if MA4Type == "HMA"
hma(close, MA4Period)
else
if MA4Type == "ALMA"
alma(close, MA4Period, 0.85, 6)
// X Y Logic
x=input(title="x", defval="close", options=["MA1", "MA2", "MA3", "MA4", "close"])
y=input(title="y", defval="MA1", options=["MA1", "MA2", "MA3", "MA4", "close"])
X = if x == "MA1"
MA1
else
if x == "MA2"
MA2
else
if x == "MA3"
MA3
else
if x == "MA4"
MA4
else
if x == "close"
close
Y = if y == "MA1"
MA1
else
if y == "MA2"
MA2
else
if y == "MA3"
MA3
else
if y == "MA4"
MA4
else
if y == "close"
close
//SL & TP Calculations
SwingLow=lowest(i_SwingLookback)
SwingHigh=highest(i_SwingLookback)
bought=strategy.position_size != strategy.position_size[1]
LSL=valuewhen(bought, SwingLow, 0)-((valuewhen(bought, atr(14), 0)/5)*i_SLExpander)
SSL=valuewhen(bought, SwingHigh, 0)+((valuewhen(bought, atr(14), 0)/5)*i_SLExpander)
islong=strategy.position_size > 0
isshort=strategy.position_size < 0
SL= islong ? LSL : isshort ? SSL : na
//Position Management Calculations
capital=strategy.equity
distance_to_long_stop_loss=1-(LSL/strategy.position_avg_price)
distance_to_short_stop_loss=(SSL/strategy.position_avg_price)-1
PS=(capital*risk_per_trade)/distance_to_long_stop_loss
SPS=(capital*risk_per_trade)/distance_to_short_stop_loss
PSqty=PS/close
SPSqty=SPS/close
//Strategy Calculations
MAFilter=close > MA4
BUY = crossover(X , Y)
SELL = crossunder(X , Y)
BUY2 = crossover(X , Y) and MAFilter
SELL2 = crossunder(X , Y) and not MAFilter
//Entries
strategy.entry("long", true, qty=PSMGMT ? PSqty : na, when=not i_MAFilter ? BUY : BUY2)
strategy.entry("short", false, qty=PSMGMT ? SPSqty : na, when=not i_MAFilter ? SELL : SELL2)
//Exits
if i_SL //and SL != na
strategy.exit("longexit", "long", stop=LSL)
strategy.exit("shortexit", "short", stop=SSL)
if i_MAFilter
strategy.close("long", when=SELL)
strategy.close("short", when=BUY)
//Plots
plot(i_SL ? SL : na, color=color.red, style=plot.style_cross, title="SL")
plot(MA1, color=color.green, linewidth=1, title="MA1")
plot(MA2, color=color.yellow, linewidth=2, title="MA2")
plot(MA3, color=color.red, linewidth=3, title="MA3")
plot(MA4, color=color.white, linewidth=3, title="MA4")
plotshape(BUY ? 1 : na, style=shape.triangleup, location=location.belowbar, color=color.green, title="Bullish Setup")
plotshape(SELL ? 1 : na, style=shape.triangledown, location=location.abovebar, color=color.red, title="Bearish Setup")
//Debugging Plots
plot(SSL, transp=100, title="SwingHigh")
plot(bought ? 1:0, transp=100, title="bought")
plot(PSqty, title="PSqty", transp=100)
plot(SPSqty, title="SPSqty", transp=100)
plot(PS, title="PS", transp=100)
plot(SPS, title="SPS", transp=100)
plot(distance_to_long_stop_loss, title="distance to LSL", transp=100)
plot(distance_to_short_stop_loss, title="distance to SSL", transp=100)
plot(capital, title="equity", transp=100)
Expand (209 lines)
Overview
Signals are triggered when a selected moving average crosses another, with an optional fourth moving average acting as a trend filter. The strategy provides swing high and low lookbacks for stop loss positioning and includes a position sizing module based on custom account risk percentages.
Selectable moving average types including EMA, SMA, WMA, RMA, HMA, and ALMA
Configurable MA crossover entry system with optional trend filter
The inputs you can change from the gear icon on the chart. Defaults are the author's.
Setting
Type
Default
Variable
Strategy Direction
int
0
direction
Position Management
bool
false
PSMGMT
Risk Per Trade % (for PSMGMT)
int
5
risk_per_trade
Use Swing Lo/Hi Stop Loss & Take Profit
bool
true
i_SL
Swing Lo/Hi Lookback
int
10
i_SwingLookback
SL Expander
int
0
i_SLExpander
Use MA4 as Bull / Bear filter
bool
false
i_MAFilter
----------------MA Selector-----------------
bool
false
MAtype
MA1 Period
int
9
MA1Period
MA1 Type
string
EMA
MA1Type
MA2 Period
int
21
MA2Period
MA2 Type
string
EMA
MA2Type
Show all 18 settings
Setting
Type
Default
Variable
MA3 Period
int
50
MA3Period
MA3 Type
string
SMA
MA3Type
MA4 Period
int
100
MA4Period
MA4 Type
string
SMA
MA4Type
x
string
close
x
y
string
MA1
y
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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