Strategy · Pine Script v4 · On the chart

All in One Strategy

by hasnocool

This strategy overlays multiple switchable trading models onto the main price chart, allowing the user to select between standard RSI crossing, Connors RSI, MACD, EMA, or Stochastic signals.

View on GitHub

Repaints

GitHub stars106on the repository
Pine versionv4older, still runs
Lines of code284
Settings40inputs
LicenceGPL-3.0
Last update2 years ago18 Sep 2024

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

284 lines of Pine Script v4 from All in One Strategy.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

All in One Strategy.pine
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
//@version=4
// ██████╗██████╗ ███████╗ █████╗ ████████╗███████╗██████╗     ██████╗ ██╗   ██╗    
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//╚══════╝ ╚═════╝ ╚══════╝ ╚═════╝    ╚═╝   ╚═╝ ╚═════╝ ╚═╝  ╚═══╝╚══════╝ ╚═╝ ╚════╝    ╚═╝   ╚════╝ 
                                                                                                     
strategy(shorttitle='Ain1v4',title='All in One Strategy', overlay=true, scale=scale.left, initial_capital = 1000, process_orders_on_close=true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type=strategy.commission.percent, commission_value=0.18, calc_on_every_tick=true)
kcolor = color.new(#0094FF, 60)
dcolor = color.new(#FF6A00, 60)
// -----------------  Strategy Inputs -------------------------------------------------------------
//Backtest dates with auto finish date of today
start = input(defval = timestamp("22 June 2021 00:00 -0500"), title = "Start Time", type = input.time)
finish = input(defval = timestamp("31 December 2021 00:00 -0600"), title = "End Time", type = input.time)
window()  => time >= start and time <= finish ? true : false       // create function "within window of time"
// Strategy Selection - Long, Short, or Both
stratinfo = input(true, "Long/Short for Mixed Market, Long for Bull, Short for Bear")
strat = input(title="Trade Types", defval="Long/Short", options=["Long Only", "Long/Short", "Short Only"])
strat_val = strat == "Long Only" ? 1 : strat == "Long/Short" ? 0 : -1
// Risk Management Inputs
sl= input(10.0, "Stop Loss %", minval = 0, maxval = 100, step = 0.01)
stoploss = sl/100
tp = input(20.0, "Target Profit %", minval = 0, maxval = 100, step = 0.01)
TargetProfit = tp/100
ld = input(2, "Stop Trading After This Many Losing Days", type=input.integer, minval=0, maxval=100, step=1)
strategy.risk.max_cons_loss_days(count=ld)
ml = input(10, "Maximum % of Equity Lost to Halt Trading", type=input.integer, minval=1, maxval=100, step=1)
strategy.risk.max_drawdown(value=ml, type=strategy.percent_of_equity)
useXRSI = input(false, "Use RSI crossing back, select only one strategy")
useCRSI = input(false, "Use Tweaked Connors RSI, select only one")
RSIInfo = input(true, "These are the RSI Strategy Inputs, RSI Length applies to MACD, set OB and OS to 45 for using Stoch and EMA strategies.")
length = input(14, "RSI Length", minval=1)
overbought= input(62, "Overbought")
oversold= input(35, "Oversold")
cl1 = input(3, "Connor's MA Length 1", minval=1, step=1)
cl2 = input(20, "Connor's MA Lenght 2", minval=1, step=1)
cl3 = input(50, "Connor's MA Lenght 3", minval=1, step=1)
// MACD and EMA Inputs
useMACD = input(false, "Use MACD Only, select only one strategy")
useEMA  = input(false, "Use EMA Only, select only one strategy (EMA uses Stochastic inputs too)")
MACDInfo=input(true, "These are the MACD strategy variables")
fastLength = input(5, minval=1, title="EMA Fast Length")
slowLength = input(10, minval=1, title="EMA Slow Length")
ob_min = input(52, "Overbought Lookback Minimum Value", minval=0, maxval=200)
ob_lb = input(25, "Overbought Lookback Bars", minval=0, maxval=100)
os_min = input(50, "Oversold Lookback Minimum Value", minval=0, maxval=200)
os_lb = input(35, "Oversold Lookback Bars", minval=0, maxval=100)
source = input(title="Source", type=input.source, defval=close)
RSI = rsi(source, length)
// Price Movement Inputs
PriceInfo = input(true, "Price Change Percentage Cross Check Inputs for all Strategies, added logic to avoid early sell. This is different from setting of max loss in risk management.")
lkbk = input(5,"Max Lookback Period")
// EMA and SMA Background Inputs
useStoch    = input(false, "Use Stochastic Strategy, choose only one")
StochInfo   = input(true, "Stochastic Strategy Inputs")
smoothK     = input(3, "K", minval=1)
periodK     = input(14, "K Period", minval=1)
periodD     = input(3, "D Period", minval=1)
k_mode      = input("SMA", "K Mode", options=["SMA", "EMA", "WMA"])
high_source = input(high,"High Source")
low_source= input(low,"Low Source")
// Selections to show or hide the overlays
showZones = input(true, title="Show Bullish/Bearish Zones")
showStoch = input(true, title="Show Stochastic Overlays")
showRSIBS = input(true, title="Show RSI Buy Sell Zones")
showMACD = input(true, title="Show MACD")
color_bars=input(true, "Color Bars")
// ----------------------- Dynamic RSI --------------------------------------
// Define f_print function to show key recommendations for RSI
f_print(_text) =>
    // Create label on the first bar.
    var _label = label(na),
    label.delete(_label), 
    _label := label.new(
     time + (time-time[1]), 
     ohlc4,
     _text,
     xloc.bar_time,
     yloc.price,
     color(na),
     label.style_none,
     color.gray,
     size.large,
     text.align_left
     )
    
    
// Display highest and lowest RSI values
AvgHigh(src,cnt,val) =>
    total = 0.0
    count = 0
    for i = 0 to cnt
        if src[i] > val
            count := count + 1
            total := total + src[i]
    round(total / count)
    
RSI_high = AvgHigh(RSI, ob_lb, ob_min)
AvgLow(src,cnt,val) =>
    total = 0.0
    count = 0
    for i = 5 to cnt by 5
        if src[i] < val
            count := count + 1
            total := total + src[i]
    round(total / count)
RSI_low = AvgLow(RSI, os_lb, os_min)
f_print("Recommended RSI Settings:" + "\nOverbought = " + tostring(RSI_high) + "\nOversold = " + tostring(RSI_low))
// Plot Oversold and Overbought Lines
over = hline(oversold, title="Oversold", color=color.green)
under = hline(overbought, title="Overbought", color=color.red)
fillcolor = color.new(#9915FF, 90)
fill(over, under, fillcolor, title="Band Background")
// ------------------ Background Colors based on EMA Indicators -----------------------------------
rsi_ema = ema(RSI, length)
emaA = ema(rsi_ema, fastLength)                                     
emaFast = 2 * emaA - ema(emaA, fastLength)
emaB = ema(rsi_ema, slowLength)                                     
emaSlow = 2 * emaB - ema(emaB, slowLength) 
// New Bullish and Bearish Signal Rule logic check
out = ema(RSI, length)
// bullish signal rule: 
bullishRule =emaFast > emaSlow and out >=out[1]
// bearish signal rule: 
bearishRule =emaFast < emaSlow and out <= out[1]
EMAShortSell = crossunder(rsi_ema, emaFast) and crossunder(rsi_ema, emaSlow) and bearishRule and window()
EMAShortBuy = crossover(rsi_ema, emaFast) and crossover(rsi_ema, emaSlow) and bullishRule and window()
EMALongBuy = crossover(rsi_ema, emaSlow) and crossover(rsi_ema, emaFast) and bullishRule and window()
EMALongSell = crossunder(emaFast, emaSlow) and bearishRule and window()
// current trading State
ruleState = 0
ruleState := bullishRule ? 1 : bearishRule ? -1 : nz(ruleState[1])
ruleColor = ruleState==1 ? color.new(color.blue, 90) : ruleState == -1 ? color.new(color.red, 90) : ruleState == 0 ? color.new(color.gray, 90) : na
bgcolor(showZones ? ruleColor : na, title="Bullish/Bearish Zones")
// ------------------  Price Percentage Change Calculation ---------------------------------------
perc_change(lkbk) =>
    overall_change = ((close[0] - open[lkbk]) / open[lkbk]) * 100
    highest_high = 0.0
    lowest_low = 0.0
    for i = lkbk to 0
        highest_high := i == lkbk ? high : high[i] > high[(i + 1)] ? high[i] : highest_high[1]
        lowest_low := i == lkbk ? low : low[i] < low[(i + 1)] ? low[i] : lowest_low[1]
    
    start_to_high = ((highest_high - open[lkbk]) / open[lkbk]) * 100
    start_to_low = ((lowest_low - open[lkbk]) / open[lkbk]) * 100
    previous_to_high = ((highest_high - open[1])/open[1])*100
    previous_to_low = ((lowest_low-open[1])/open[1])*100
    previous_bar = ((close[1]-open[1])/open[1])*100
    
    [overall_change, start_to_high, start_to_low, previous_to_high, previous_to_low, previous_bar]
    
// Call the function    
[overall, to_high, to_low, last_high, last_low, last_bar] = perc_change(lkbk)
// Plot the function
//plot(overall*50, color=color.white, title='Overall Percentage Change', linewidth=3)
//plot(to_high*50, color=color.green,title='Percentage Change from Start to High', linewidth=2)
//plot(to_low*50, color=color.red, title='Percentage Change from Start to Low', linewidth=2)
//plot(last_high*100, color=color.teal, title="Previous to High", linewidth=2)
//plot(last_low*100, color=color.maroon, title="Previous to Close", linewidth=2)
//plot(last_bar*100, color=color.orange, title="Previous Bar", linewidth=2)
//hline(0, title='Center Line', color=color.orange, linewidth=2)
true_dip = overall < 0 and to_high > 0 and to_low < 0 and last_high > 0 and last_low < 0 and last_bar < 0
true_peak = overall > 0 and to_high > 0 and to_low > 0 and last_high > 0 and last_low < 0 and last_bar > 0
// ------------------  Stochastic Indicator Overlay -----------------------------------------------
// Calculation
// Use highest highs and lowest lows
h_high = highest(high_source ,lkbk)
l_low = lowest(low_source ,lkbk)
stoch = stoch(close, high_source, low_source, periodK)
k =
 k_mode=="EMA" ? ema(stoch, smoothK) :
 k_mode=="WMA" ? wma(stoch, smoothK) :
 sma(stoch, smoothK)
d = sma(k, periodD)
k_c = change(k)
d_c = change(d)
kd = k - d
// Plot
signalColor = k>oversold and d<overbought and k>d and k_c>0 and d_c>0 ? kcolor : 
 k<overbought and d>oversold and k<d and k_c<0 and d_c<0 ? dcolor : na
kp = plot(showStoch ? k : na, "K", color=kcolor)
dp = plot(showStoch ? d : na, "D", color=dcolor)
fill(kp, dp, color = signalColor, title="K-D")
signalUp = showStoch ? not na(signalColor) and kd>0 : na
signalDown = showStoch ? not na(signalColor) and kd<0 : na
//plot(signalUp ? kd : na, "Signal Up", color=kcolor, transp=90, style=plot.style_columns)
//plot(signalDown ? (kd+100) : na , "Signal Down", color=dcolor, transp=90, style=plot.style_columns, histbase=100)
StochBuy = crossover(k, d) and k_c>0 and d_c>0 and k<RSI and d<RSI and window()
StochSell = crossunder(k, d) and k_c<0 and d_c<0 and k<RSI and d<RSI and window()
// -------------- Add Price Movement to Strategy for better visualization -------------------------
// Calculations
h1 = vwma(high, length)
l1 = vwma(low, length)
hp = h_high[1]
lp = l_low[1]
// Plot
var plot_color=#353535
var sig = 0
if (h1 >hp)
    sig:=1
    plot_color:=color.lime
else if (l1 <lp)
    sig:=-1
    plot_color:=color.maroon
//plot(1,title = "Price Movement Bars", style=plot.style_columns,color=plot_color)
//plot(sig,title="Signal 1 or -1",display=display.none)
// --------------------------------------- RSI Plot ----------------------------------------------
// Show RSI and EMA crosses with arrows and RSI Color (tweaked Connors RSI)
// Improves strategy setting ease by showing where EMA 5 crosses EMA 10 from above to confirm overbought conditions or trend reversals
// This shows where you should enter shorts or exit longs
// Tweaked Connors RSI Calculation
connor_ob = overbought
connor_os = oversold
ma1 = sma(close,cl1)
ma2 = sma(close, cl2)
ma3 = sma(close, cl3)
// Buy Sell Zones using tweaked Connors RSI (RSI values of 80 and 20 for Crypto as well as ma3, ma20, and ma50 are the tweaks)
RSI_SELL = ma1 > ma2 and open > ma3 and RSI >= connor_ob and true_peak and window()
RSI_BUY = ma2 < ma3 and ma3 > close and RSI <= connor_os and true_dip and window()
// Color Definition
col = useCRSI ? (close > ma2 and close < ma3 and RSI <= connor_os ? color.lime : close < ma2 and close > ma3 and RSI <= connor_ob ? color.red : color.yellow ) : color.yellow
// Plot colored RSI Line
plot(RSI, title="RSI", linewidth=3, color=col)
//------------------- MACD Strategy -------------------------------------------------
[macdLine, signalLine, _] = macd(close, fastLength, slowLength, length)
bartrendcolor = macdLine > signalLine and k > 50 and RSI > 50 ? color.teal : macdLine < signalLine and k < 50 and RSI < 50 ? color.maroon : macdLine < signalLine ? color.yellow : color.gray
barcolor(color = color_bars ? bartrendcolor : na)
MACDBuy = macdLine>signalLine and RSI<RSI_low and overall<0 and window()
MACDSell = macdLine<signalLine and RSI>RSI_high and overall>0 and window()
//plotshape(showMACD ? MACDBuy: na, title = "MACD Buy", style = shape.arrowup, text = "MACD Buy", color=color.green, textcolor=color.green, size=size.small)
//plotshape(showMACD ? MACDSell: na, title = "MACD Sell", style = shape.arrowdown, text = "MACD Sell", color=color.red, textcolor=color.red, size=size.small)
MACColor = MACDBuy ? color.new(color.teal, 50) : MACDSell ? color.new(color.maroon, 50) : na
bgcolor(showMACD ? MACColor : na, title ="MACD Signals")
// -------------------------------- Entry and Exit Logic ------------------------------------
// Entry Logic
XRSI_OB = crossunder(RSI, overbought) and overall<0 and window()
RSI_OB = RSI>overbought and true_peak and window()
XRSI_OS = crossover(RSI, oversold) and overall>0 and window()
RSI_OS = RSI<oversold and true_dip and window()
// Strategy Entry and Exit with built in Risk Management
if(strategy.opentrades==0 and strat_val>-1)
    OtherLong = rsi_ema > RSI and k < d 
    GoLong = useStoch ? StochBuy : useXRSI ? OtherLong and XRSI_OS : useMACD ? OtherLong and MACDBuy : useCRSI ? OtherLong and RSI_BUY : useEMA ? EMALongBuy : RSI_OS
    if (GoLong)
        strategy.entry("LONG", strategy.long)
if(strategy.opentrades==0 and strat_val<1)
    OtherShort = rsi_ema < RSI and d < k
    GoShort = useStoch ? StochSell : useXRSI ? OtherShort and XRSI_OB : useMACD ? OtherShort and MACDSell : useCRSI ? OtherShort and RSI_SELL : useEMA ? EMAShortSell : OtherShort and RSI_OB
    if (GoShort) 
        strategy.entry("SHORT", strategy.short)
longStopPrice  = strategy.position_avg_price * (1 - stoploss)
longTakePrice  = strategy.position_avg_price * (1 + TargetProfit)
shortStopPrice = strategy.position_avg_price * (1 + stoploss)
shortTakePrice = strategy.position_avg_price * (1 - TargetProfit)
//plot(series=(strategy.position_size > 0) ? longTakePrice : na, color=color.green, style=plot.style_circles, linewidth=3, title="Long Take Profit")
//plot(series=(strategy.position_size < 0) ? shortTakePrice : na, color=color.green, style=plot.style_circles, linewidth=3, title="Short Take Profit")
//plot(series=(strategy.position_size > 0) ? longStopPrice : na, color=color.red, style=plot.style_cross, linewidth=2, title="Long Stop Loss")
//plot(series=(strategy.position_size < 0) ? shortStopPrice : na, color=color.red, style=plot.style_cross, linewidth=2, title="Short Stop Loss")
if (strategy.position_size > 0)
    strategy.exit(id="Exit Long", from_entry = "LONG", stop = longStopPrice, limit = longTakePrice)
    
if (strategy.position_size < 0)
    strategy.exit(id="Exit Short", from_entry = "SHORT", stop = shortStopPrice, limit = shortTakePrice)
StochLong2 = strategy.position_size<0 and strat_val > -1
OtherLong2 = strategy.position_size<0 and strat_val > -1 and rsi_ema > RSI and k < d 
CloseShort= useStoch ? StochLong2 and StochBuy : useXRSI ? OtherLong2 and XRSI_OS : useMACD ? OtherLong2 and MACDBuy : useCRSI ? OtherLong2 and RSI_BUY : useEMA ? EMAShortBuy : RSI_OS
StochShort2 = strategy.position_size>0 and strat_val < 1 
OtherShort2 = strategy.position_size>0 and strat_val < 1 and rsi_ema < RSI and d < k
CloseLong = useStoch ? StochShort2 and StochSell : useXRSI ? OtherShort2 and XRSI_OB : useMACD ? OtherShort2 and MACDSell : useCRSI ? OtherShort2 and RSI_SELL : useEMA ? EMALongSell : OtherShort2 and RSI_OB
if(CloseLong)
    strategy.close("LONG")
        
if(CloseShort)
    strategy.close("SHORT")
Expand (363 lines)

Overview

Entries execute in long, short, or bidirectional modes when the selected indicator satisfies crossover or threshold conditions. Risk management is handled through configurable percentage-based stop-loss and take-profit levels, alongside circuit breakers that halt trading after consecutive losing days or a maximum equity loss threshold. The script may exhibit repainting under certain conditions.

Details

Published by

hasnocool on GitHub

Type

Strategy, Pine Script v4

Draws

On the price chart

Category

Oscillators & momentum, Moving averages, Trend

Markets

Crypto

Timeframes

Any timeframe

Risk Notes

  • Signals can change on the live bar or after it closes (repainting)

Topics

analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview

Settings

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

SettingTypeDefaultVariable
Start Timetimetimestamp("22 June 2021 00:00 -0500")start
End Timetimetimestamp("31 December 2021 00:00 -0600")finish
Long/Short for Mixed Market, Long for Bull, Short for Bearbooltruestratinfo
Trade TypesstringLong/Shortstrat
Stop Loss %float10.0sl
Target Profit %float20.0tp
Stop Trading After This Many Losing Daysint2ld
Maximum % of Equity Lost to Halt Tradingint10ml
Use RSI crossing back, select only one strategyboolfalseuseXRSI
Use Tweaked Connors RSI, select only oneboolfalseuseCRSI
These are the RSI Strategy Inputs, RSI Length applies to MACD, set OB and OS to 45 for using Stoch and EMA strategies.booltrueRSIInfo
RSI Lengthint14length
Show all 40 settings
SettingTypeDefaultVariable
Overboughtint62overbought
Oversoldint35oversold
Connor's MA Length 1int3cl1
Connor's MA Lenght 2int20cl2
Connor's MA Lenght 3int50cl3
Use MACD Only, select only one strategyboolfalseuseMACD
Use EMA Only, select only one strategy (EMA uses Stochastic inputs too)boolfalseuseEMA
These are the MACD strategy variablesbooltrueMACDInfo
EMA Fast Lengthint5fastLength
EMA Slow Lengthint10slowLength
Overbought Lookback Minimum Valueint52ob_min
Overbought Lookback Barsint25ob_lb
Oversold Lookback Minimum Valueint50os_min
Oversold Lookback Barsint35os_lb
Sourcesourceclosesource
Price Change Percentage Cross Check Inputs for all Strategies, added logic to avoid early sell. This is different from sbooltruePriceInfo
Max Lookback Periodint5lkbk
Use Stochastic Strategy, choose only oneboolfalseuseStoch
Stochastic Strategy InputsbooltrueStochInfo
Kint3smoothK
K Periodint14periodK
D Periodint3periodD
K ModestringSMAk_mode
High Sourcesourcehighhigh_source
Low Sourcesourcelowlow_source
Show Bullish/Bearish ZonesbooltrueshowZones
Show Stochastic OverlaysbooltrueshowStoch
Show RSI Buy Sell ZonesbooltrueshowRSIBS
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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This strategy combines exponential moving averages (EMA 9, 21, 50), RSI, MACD, and Supertrend indicators to enter long positions. It triggers trades using six dynamic setups based on momentum breakouts, EMA crossovers, and pullbacks. Position sizing is compute

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Updated 4 months ago · Custom licence GitHub repository of Momentum Rider DAILY FINAL

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