Strategy · Pine Script v4 · On the chart

200 EMA + Alligator + Stochastic Long Strategy

by krosenfeld7

This strategy executes long positions by combining a 200-period EMA trend filter, Stochastic RSI oversold crosses, and Williams Alligator retracements, supplemented by RSI divergence detection.

View on GitHub

GitHub stars5on the repository
Pine versionv4older, still runs
Lines of code178
Settings32inputs
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

178 lines of Pine Script v4 from 200_EMA+Alligator+Stochastic/200_EMA+Alligator+Stochastic_Long_Strategy.txt, published under Apache-2.0. Keep the author's credit and licence lines when you reuse it.

200_EMA+Alligator+Stochastic_Long_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("200 EMA + Alligator + Stochastic Long Strategy (H)", 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)
useAtr = input(title="Use ATR?", type=input.bool, defval=false)

// Algorithm / Strategy Goes here
// Set long / short variables to execute positions below

// 200 period EMA
len1 = input(200, minval=1, title="EMA Length")
src1 = input(close, title="EMA Source")
offset = input(title="EMA Offset", type=input.integer, defval=0, minval=-500, maxval=500)
ema200 = ema(src1, len1)

emaLong = close > ema200
emaShort =  close < ema200

// Stochastic RSI
smoothK = input(3, "Stochastic K", minval=1)
smoothD = input(3, "Stochastic D", minval=1)
lengthRSI = input(14, "RSI Length", minval=1)
lengthStoch = input(14, "Stochastic Length", minval=1)
src2 = input(close, title="RSI Source")
rsi1 = rsi(src2, lengthRSI)
k = sma(stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK)
d = sma(k, smoothD)

stoLong = k < 20 and d < 20 and crossover(k, d)
stoShort = k > 80 and d > 80 and crossunder(k, d)

// Alligator 
smma(src3, length) =>
    smma =  0.0
    smma := na(smma[1]) ? sma(src3, length) : (smma[1] * (length - 1) + src3) / length
    smma
jawLength = input(13, minval=1, title="Jaw Length")
teethLength = input(8, minval=1, title="Teeth Length")
lipsLength = input(5, minval=1, title="Lips Length")
jawOffset = input(8, title="Jaw Offset")
teethOffset = input(5, title="Teeth Offset")
lipsOffset = input(3, title="Lips Offset")
jaw = smma(hl2, jawLength)
teeth = smma(hl2, teethLength)
lips = smma(hl2, lipsLength)

alligatorLong = close < jaw[jawOffset] and close < teeth[teethOffset] and close < lips[lipsOffset]
alligatorShort = close > jaw[jawOffset] and close > teeth[teethOffset] and close > lips[lipsOffset]

// RSI Divergence Section
len = input(title="RSI Period", minval=1, defval=9)
src = input(title="RSI Source", defval=close)
lbR = input(title="Pivot Lookback Right", defval=3)
lbL = input(title="Pivot Lookback Left", defval=1)
takeProfitRSILevel = input(title="Take Profit at RSI Level", minval=70, defval=80)

rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotHiddenBull = input(title="Plot Hidden Bullish", defval=true)
plotBear = input(title="Plot Bearish", defval=true)
plotHiddenBear = input(title="Plot Hidden Bearish", defval=false)

bearColor = color.purple
bullColor = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)

osc = rsi(src, len)

plFound = na(pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(pivothigh(osc, lbL, lbR)) ? false : true

_inRange(cond) =>
    bars = barssince(cond == true)
    rangeLower <= bars and bars <= rangeUpper

//------------------------------------------------------------------------------
// Regular Bullish

// Osc: Higher Low
oscHL = osc[lbR] > valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Lower Low
priceLL = low[lbR] < valuewhen(plFound, low[lbR], 1)

bullCond = plotBull and priceLL and oscHL and plFound

//------------------------------------------------------------------------------
// Hidden Bullish

// Osc: Lower Low
oscLL = osc[lbR] < valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])

// Price: Higher Low
priceHL = low[lbR] > valuewhen(plFound, low[lbR], 1)

hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound
longCondition=bullCond or hiddenBullCond
//? osc[lbR] : na  
//hiddenBullCond

divergenceLong = longCondition

//draw initil stop loss
//plot(strategy.position_size>=1 ? trailing_sl : na, color = color.blue , style=plot.style_linebr,  linewidth = 2, title = "stop loss")
//plot(trailing_sl, title="ATR Trailing Stop Loss", style=plot.style_linebr, linewidth=1, color=color.purple, transp=30)
//Trailing StopLoss
////// Calculate trailing SL
/////////////////////////////////////////////////////


//------------------------------------------------------------------------------
// Regular Bearish

// Osc: Lower High
oscLH = osc[lbR] < valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Higher High
priceHH = high[lbR] > valuewhen(phFound, high[lbR], 1)

bearCond = plotBear and priceHH and oscLH and phFound

//------------------------------------------------------------------------------
// Hidden Bearish

// Osc: Higher High
oscHH = osc[lbR] > valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])

// Price: Lower High
priceLH = high[lbR] < valuewhen(phFound, high[lbR], 1)

hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound
longCloseCondition = bearCond or hiddenBearCond

divergenceLong := divergenceLong and not longCloseCondition

long = emaLong and stoLong and alligatorLong ? 1 : 0

// 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)

longProfitPercent = input(title = "Profit %",
     type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100
longLossPercent = input(title = "Loss %",
     type = input.float, minval = 0.0, step = 0.1, defval = 10) / 100

// Calculating exact prices for stop loss and exit prices
longExitPercentPrice = strategy.position_avg_price * (1 + longProfitPercent)
longStopPercentPrice = strategy.position_avg_price * (1 - longLossPercent)

// Profit & Loss via ATR
longExitPrice = useAtr ? strategy.position_avg_price + atr * atrMultiplier : longExitPercentPrice
longStopPrice = useAtr ? strategy.position_avg_price - atr * atrMultiplier : longStopPercentPrice

// Plotting profit / loss targets
plot(series = (strategy.position_size > 0) ? longExitPrice : na, color = color.green, style = plot.style_linebr, transp = 0, linewidth = 3, title = "Long Target")
plot(series = (strategy.position_size > 0) ? longStopPrice : na, color = color.red, style = plot.style_linebr, transp = 0, linewidth = 3, title = "Long Stop Loss")

// Submit entry orders
if time >= start
    strategy.entry(id = "Long", long = strategy.long, comment = "Long Open", when = long)

// Submit exit orders
strategy.exit(id = "Long", limit = longExitPrice, stop = longStopPrice, comment = "Long Close", when = strategy.position_size > 0)
strategy.close(id = "Long", comment = "Expired: >" + tostring(maxTimeOpen), when = (barssince(change(strategy.opentrades)) + 1) >= maxTimeOpen)

Overview

200 EMA + Alligator + Stochastic Long Strategy triggers long entries when the price trades above the 200 EMA while simultaneously pulling back below the shifted Alligator lines as the Stochastic RSI crosses upward from oversold territory. Exits are driven by an RSI threshold, bar expiration, or an optional ATR-based trailing stop. It draws directly on the price chart.

Details

Published by

krosenfeld7 on GitHub

Type

Strategy, Pine Script v4

Draws

On the price chart

Category

Trend, Oscillators & momentum, Moving averages, Divergence

Markets

Any symbol

Timeframes

Any timeframe

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.

SettingTypeDefaultVariable
Backtesting Starttimetimestamp("1 Jan 2015")start
Order Expirationint100maxTimeOpen
Use ATR?boolfalseuseAtr
EMA Lengthint200len1
EMA Sourcesourceclosesrc1
EMA Offsetint0offset
Stochastic Kint3smoothK
Stochastic Dint3smoothD
RSI Lengthint14lengthRSI
Stochastic Lengthint14lengthStoch
RSI Sourcesourceclosesrc2
Jaw Lengthint13jawLength
Show all 32 settings
SettingTypeDefaultVariable
Teeth Lengthint8teethLength
Lips Lengthint5lipsLength
Jaw Offsetint8jawOffset
Teeth Offsetint5teethOffset
Lips Offsetint3lipsOffset
RSI Periodint9len
RSI Sourcesourceclosesrc
Pivot Lookback Rightint3lbR
Pivot Lookback Leftint1lbL
Take Profit at RSI Levelint80takeProfitRSILevel
Max of Lookback Rangeint60rangeUpper
Min of Lookback Rangeint5rangeLower
Plot BullishbooltrueplotBull
Plot Hidden BullishbooltrueplotHiddenBull
Plot BearishbooltrueplotBear
Plot Hidden BearishboolfalseplotHiddenBear
ATR Lengthint14length
ATR Multiplierfloat1atrMultiplier
Profit %float10longProfitPercent
Loss %float10longLossPercent
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.

Similar Pine Scripts

330 stars

MACD + Divergences [Alorse] is a momentum strategy that calculates the MACD oscillator and identifies regular and hidden divergences using pivot high and low points. It filters trade signals with dual Exponential Moving Averages (EMA 150 and 600) to ensure tra

Strategy v4 Oscillators & momentumDivergence Repaints
Updated 2 months ago · None stated GitHub repository of MACD + Divergences [Alorse]

Acrypto - Weighted Strategy

by AlbertoCuadra
318 stars

This strategy plots on the price chart and opens long or short positions when a weighted score from MACD, Stochastic RSI, RSI, Supertrend and a moving-average crossover exceeds a user-set trigger. Each component has its own weight and candle delay. Entries can

Strategy v5 TrendOscillators & momentum
Updated 3 years ago · Custom licence GitHub repository of Acrypto - Weighted Strategy

This strategy combines Arnaud Legoux Moving Average percentage price change calculations with an adaptive Gaussian Moving Average to generate trend-following signals. Long and short entries are triggered when the ALMA change calculation crosses above or below

Strategy v5 Moving averagesOscillators & momentum
Updated 6 weeks ago · None stated GitHub repository of ESM2024 - ALMA Smoothed Gaussian Moving Average
218 stars

This strategy generates trading signals based on a selectable momentum engine, supporting MACD, RSI, Stochastic, or Rate of Change. Entries trigger on signal crosses, zero-line crosses, or threshold crosses, with an optional moving average trend filter. Risk m

Strategy v6 Oscillators & momentumTrend
Updated 3 months ago · None stated GitHub repository of Momentum Strategy Template

255 EMA Strategy

by hasnocool
106 stars

255 EMA Strategy combines an exponential moving average with Average True Range bands and standard MACD crossovers to generate entry signals. Drawn directly on the price chart, it plots the central 255 EMA along with upper and lower volatility envelopes. Trade

Strategy v4 Moving averagesOscillators & momentum
Updated 2 years ago · GPL-3.0 GitHub repository of 255 EMA Strategy

SMA RSI Strategy

by PythonForForex
64 stars

This strategy evaluates simple moving averages and the Relative Strength Index to generate trading signals. It calculates a 10-period SMA, a 30-period SMA, and a 14-period RSI. Long positions are entered when the fast SMA crosses above the slow SMA while RSI i

Strategy v5 TrendOscillators & momentum
Updated 4 years ago · None stated GitHub repository of SMA RSI Strategy

More strategys

Trade Your Charts With a Regulated Broker

Compare brokers that connect to TradingView, with spreads, minimum deposits and leverage side by side.

Compare brokers