Strategy · Pine Script v5 · On the chart

5 Minute Scalp

by hasnocool· code credited to pluckyCraft54926

This strategy overlays three exponential moving averages on the price chart, with periods of 9, 50, and 200.

View on GitHub

GitHub stars106on the repository
Pine versionv5runs as is
Lines of code93
Settings31inputs
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

93 lines of Pine Script v5 from 5 Minute Scalping Strategy.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

5 Minute Scalping Strategy.pine
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © pluckyCraft54926
//@version=5
strategy("5 Minute Scalp", overlay=true, margin_long=100, margin_short=100)
fast_length = input(title="Fast Length", defval=12)
slow_length = input(title="Slow Length", defval=26)
src = input(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing",  minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title="Oscillator MA Type",  defval="EMA", options=["SMA", "EMA"])
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options=["SMA", "EMA"])
// Plot colors
col_macd = input(#2962FF, "MACD Line  ", group="Color Settings", inline="MACD")
col_signal = input(#FF6D00, "Signal Line  ", group="Color Settings", inline="Signal")
col_grow_above = input(#26A69A, "Above   Grow", group="Histogram", inline="Above")
col_fall_above = input(#B2DFDB, "Fall", group="Histogram", inline="Above")
col_grow_below = input(#FFCDD2, "Below Grow", group="Histogram", inline="Below")
col_fall_below = input(#FF5252, "Fall", group="Histogram", inline="Below")
// Calculating
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
hist_1m = request.security(syminfo.tickerid,"1",hist [barstate.isrealtime ? 1 : 0])
hline(0, "Zero Line", color=color.new(#787B86, 50))
////////////////////////////////////////////////////
//plotting emas on the chart
len1 = input.int(9, minval=1, title="Length")
src1 = input(close, title="Source")
offset1 = input.int(title="Offset", defval=0, minval=-500, maxval=500)
out1 = ta.ema(src1, len1)
plot(out1, title="EMA9", color=color.blue, offset=offset1)
len2 = input.int(50, minval=1, title="Length")
src2 = input(close, title="Source")
offset2 = input.int(title="Offset", defval=0, minval=-500, maxval=500)
out2 = ta.ema(src2, len2)
plot(out2, title="EMA50", color=color.yellow, offset=offset2)
len3 = input.int(200, minval=1, title="Length")
src3 = input(close, title="Source")
offset3 = input.int(title="Offset", defval=0, minval=-500, maxval=500)
out3 = ta.ema(src3, len3)
plot(out3, title="EMA200", color=color.white, offset=offset3)
//////////////////////////////////////////////////////////////////
//Setting up the BB
/////////////////////////////////////////////////////////////
srcBB = hist_1m
lengthBBLong = input.int(94,title = "LengthBB Long", minval=1)
lengthBBShort = input.int(83,title = "LengthBB Short", minval=1)
multBB = input.float(2.0, minval=0.001, maxval=50, title="StdDev")
basisBBLong = ta.sma(srcBB, lengthBBLong)
basisBBShort = ta.sma(srcBB, lengthBBShort)
devBBLong = multBB * ta.stdev(srcBB, lengthBBLong)
devBBShort = multBB * ta.stdev(srcBB, lengthBBShort)
upperBB = basisBBShort + devBBShort
lowerBB = basisBBLong - devBBLong
offsetBB = input.int(0, "Offset", minval = -500, maxval = 500)
/////////////////////////////////////////
//aetting up rsi
///////////////////////////////////////////
rsilengthlong = input.int(defval = 11, title = "Rsi Length Long", minval = 1)
rlong=ta.rsi(close,rsilengthlong)
rsilengthshort = input.int(defval = 29, title = "Rsi Length Short", minval = 1)
rshort=ta.rsi(close,rsilengthshort)
///////////////////////////
//Only taking long and shorts, if RSI is above 51 or bellow 49
rsilong = rlong >= 51
rsishort = rshort <= 49
//////////////////////////////////////
//only taking trades if all 3 emas are in the correct order
long = out1 > out2 and out2 > out3
short = out1 < out2 and out2 < out3
/////////////////////////////////////
///////////////////////////////////////////
//setting up TP and SL
TP = input.float(defval = 0.5, title = "Take Profit %",step = 0.1) / 100
SL = input.float(defval = 0.3, title = "Stop Loss %", step = 0.1) / 100
longCondition = hist_1m <= lowerBB
longhight = input(defval=-10,title = "MacdTick Low")
if (longCondition and long and rsilong and hist_1m <= longhight) 
    strategy.entry("Long", strategy.long)
if (strategy.position_size>0)
    longstop = strategy.position_avg_price * (1-SL)
    longprofit = strategy.position_avg_price * (1+TP)
    strategy.exit(id ="close long",from_entry="Long",stop=longstop,limit=longprofit)
shortCondition = hist_1m >= upperBB
shorthight = input(defval=35,title = "MacdTick High")
if (shortCondition and short and rsishort and hist_1m >= shorthight)
    strategy.entry("short ", strategy.short)
shortstop = strategy.position_avg_price * (1+SL)
shortprofit = strategy.position_avg_price * (1-TP)
if (strategy.position_size<0)
    strategy.exit(id ="close short",stop=shortstop,limit=shortprofit)
Expand (108 lines)

Overview

5 Minute Scalp calculates a MACD histogram from a 1-minute timeframe, applies Bollinger Bands to the histogram, and tracks two RSI oscillators of different lengths. Orders execute based on RSI thresholds, using fixed 0.5% take-profit and 0.3% stop-loss percentages for exits. Inputs allow customizing moving averages, MACD smoothing, Bollinger Band deviations, and risk targets. Using lower-timeframe security calls may cause differences between historical and live calculations.

Details

Published by

hasnocool on GitHub

Code credit

pluckyCraft54926, as written in the script's header

Type

Strategy, Pine Script v5

Draws

On the price chart

Category

Scalping, Moving averages, Oscillators & momentum, Volatility & bands

Markets

Crypto

Timeframes

M1-M5

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Topics

analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview

Settings

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

SettingTypeDefaultVariable
Fast Lengthint12fast_length
Slow Lengthint26slow_length
Sourcesourceclosesrc
Signal Smoothingint9signal_length
Oscillator MA TypestringEMAsma_source
Signal Line MA TypestringEMAsma_signal
MACD Line  color#2962FFcol_macd
Signal Line  color#FF6D00col_signal
Above   Growcolor#26A69Acol_grow_above
Fallcolor#B2DFDBcol_fall_above
Below Growcolor#FFCDD2col_grow_below
Fallcolor#FF5252col_fall_below
Show all 31 settings
SettingTypeDefaultVariable
Lengthint9len1
Sourcesourceclosesrc1
Offsetint0offset1
Lengthint50len2
Sourcesourceclosesrc2
Offsetint0offset2
Lengthint200len3
Sourcesourceclosesrc3
Offsetint0offset3
LengthBB Longint94lengthBBLong
LengthBB Shortint83lengthBBShort
StdDevfloat2.0multBB
Offsetint0offsetBB
Rsi Length Longint11rsilengthlong
Rsi Length Shortint29rsilengthshort
Take Profit %float0.5TP
Stop Loss %float0.3SL
MacdTick Lowint-10longhight
MacdTick Highint35shorthight
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

This strategy plots MACD line, signal line, Bollinger Bands, and RSI on the price chart. It signals long entries on MACD crossover above signal with RSI below 50 and price below BB basis, plus optional DMI filter. Short entries are available but disabled by de

Strategy v5 Oscillators & momentumVolatility & bands
Updated 2 months ago · None stated GitHub repository of MACD + BB + RSI [Alorse]
257 stars

This strategy is designed for 1-minute S&P 500 futures trading using multi-timeframe data and Fibonacci-weighted standard deviation bands around volume-weighted moving averages. It requests data from multiple higher timeframes without lookahead to prevent repa

Strategy v5 Volatility & bandsMoving averages
Updated 6 weeks ago · None stated GitHub repository of ES - Futures 1M No Repaint Fixed

Take Profits & Stop Losses

by PythonForForex
64 stars

This educational strategy demonstrates moving average crossovers filtered by RSI momentum, incorporating ATR-based risk management. It calculates a 10-period SMA, a 30-period SMA, a 14-period RSI, and a 14-period ATR. Long entries trigger when the fast SMA cro

Strategy v5 Moving averagesOscillators & momentum
Updated 4 years ago · None stated GitHub repository of Take Profits & Stop Losses

Momentum Rider DAILY FINAL

by greenpeas007
58 stars

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

Strategy v6 TrendOscillators & momentum Repaints
Updated 4 months ago · Custom licence GitHub repository of Momentum Rider DAILY FINAL

Bollinger bands examples

by tradingstrategy-ai
53 stars

This strategy plots exponential-moving-average Bollinger bands on the price chart and calculates RSI. It opens a long position when close crosses above the upper band while RSI is at or above a threshold, the date filter allows trading, and no position is open

Strategy v5 Volatility & bandsOscillators & momentum
Updated 3 years ago · None stated GitHub repository of Bollinger bands examples
53 stars

This strategy trades EUR/USD on the price chart using a fast and slow exponential moving average crossover filtered by RSI. It enters long when the fast EMA crosses above the slow EMA while RSI is above 50 and below the overbought level, and enters short on th

Strategy v6 TrendMoving averages
Updated 2 months ago · MPL-2.0 GitHub repository of EUR/USD EMA9-21 + RSI Scalping 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