Buy The Dips - MA200 Optimised: Free TradingView Strategy (Pine Script)

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

33 lines of Pine Script v4 from Buy The Dips - MA200 Optimised.pine, published under GPL-3.0. Keep the author's credit and licence lines when you reuse it.

Buy The Dips - MA200 Optimised.pine

//@version=4
strategy("Buy The Dips - MA200 Optimised", overlay=false)
//Moving average
MAinp = input(defval = 100, title = "MA", type = input.integer, minval = 1, step = 1)
MA=sma(close, MAinp)
//Percent change
inp_lkb = input(1, title='Lookback Period')
 
perc_change(lkb) =>
    overall_change = ((close[0] - close[lkb]) / close[lkb]) * 100
// Call the function    
overall = perc_change(inp_lkb)
// === INPUT BACKTEST RANGE ===
fromMonth = input(defval = 1,    title = "From Month",      type = input.integer, minval = 1, maxval = 12)
fromDay   = input(defval = 1,    title = "From Day",        type = input.integer, minval = 1, maxval = 31)
fromYear  = input(defval = 2020, title = "From Year",       type = input.integer, minval = 1970)
thruMonth = input(defval = 1,    title = "Thru Month",      type = input.integer, minval = 1, maxval = 12)
thruDay   = input(defval = 1,    title = "Thru Day",        type = input.integer, minval = 1, maxval = 31)
thruYear  = input(defval = 2112, title = "Thru Year",       type = input.integer, minval = 1970)
showDate  = input(defval = true, title = "Show Date Range", type = input.bool)
start     = timestamp(fromYear, fromMonth, fromDay, 00, 00)        // backtest start window
finish    = timestamp(thruYear, thruMonth, thruDay, 23, 59)        // backtest finish window
window()  => time >= start and time <= finish ? true : false       // create function "within window of time"
//Entry/Exit
strategy.entry(id="long", long = true, when = window() and overall<-3 and close > MA) 
strategy.close(id="long", when = window() and overall>1)
bgcolor(color = showDate and window() ? color.gray : na, transp = 90) 
plot(overall, color=color.black, title='Overall Percentage Change', linewidth=3)
band1 = hline(1, "Upper Band", color=#C0C0C0)
band0 = hline(-2, "Lower Band", color=#C0C0C0)
fill(band1, band0, color=#9915FF, transp=90, title="Background")
hline(0, title='Center Line', color=color.orange, linestyle=hline.style_solid, linewidth=2)
Expand (41 lines)

Overview

Buy The Dips - MA200 Optimised opens long positions when price experiences a steep drop exceeding three percent while remaining above the moving average baseline. Trades are exited once percentage momentum rebounds above one percent. The script plots the price change percentage in a separate oscillator pane. It includes configurable backtest date ranges but lacks a defined stop loss.

Percentage change oscillator calculation
Simple moving average trend filter
Customizable backtesting date range window
Oscillator visualization in a separate pane

Details

Published by

hasnocool on GitHub

Type

Strategy, Pine Script v4

Draws

Separate pane below the chart

Markets

Crypto

Timeframes

Any timeframe

Risk Notes

The strategy enters trades without a stop loss

File

Buy The Dips - MA200 Optimised.pine

Repository

github.com/hasnocool/tradingview-pine-scripts. See its other scripts in the library

Topics

analysisbtcusdtcryptocurrencydatapandaspythonsimulationtradingtradingview

Settings

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

Setting	Type	Default	Variable
MA	`int`	`100`	`MAinp`
Lookback Period	`int`	`1`	`inp_lkb`
From Month	`int`	`1`	`fromMonth`
From Day	`int`	`1`	`fromDay`
From Year	`int`	`2020`	`fromYear`
Thru Month	`int`	`1`	`thruMonth`
Thru Day	`int`	`1`	`thruDay`
Thru Year	`int`	`2112`	`thruYear`
Show Date Range	`bool`	`true`	`showDate`

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

SMA + RSI Strategy [Entry/Exit at Next Open]

by eddiebelaval

7

This strategy combines a Simple Moving Average (SMA) and the Relative Strength Index (RSI) to generate long trading signals. It enters a long position when price closes above the SMA filter while RSI drops below the oversold threshold. The strategy exits the p

Strategy v5 TrendOscillators & momentum

Updated 3 months ago · None stated

MACD + Divergences [Alorse]

by Alorse

330

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

MACD Crossover (tutorial)

by pineforge-4pass

193

This strategy calculates the Moving Average Convergence Divergence indicator and plots the MACD line, signal line, and histogram in a separate pane. It enters long positions when the MACD line crosses above the signal line and enters short positions when it cr

Strategy v6 Oscillators & momentumMoving averages

Updated today · Apache-2.0

EMA Ribbon MACD

by iamrichardD

57

This strategy combines an EMA ribbon with MACD confirmation and plots in a separate pane. It enters when ribbon alignment, optional MACD zero or signal crosses, volume, smart-money, and multi-timeframe filters agree, then exits with percentage stop loss and ta

Strategy v6 TrendMoving averages

Updated 1 year ago · Apache-2.0

Greeffer BB Strategy

by SammyEnigma

18

This strategy combines Bollinger Bands, Bollinger Band Width, and the Relative Strength Index (RSI) for mean-reversion trades. It enters long when price crosses below the lower band with oversold RSI, or when band width contracts under low volatility. Short en

Strategy v4 Mean reversionOscillators & momentum

Updated 6 years ago · None stated

Market–Average Relationship Engine [WavesUnchained]

by casoon

9

This strategy evaluates the dynamic relationship between price and a chosen moving average across six diagnostic dimensions: trend, respect, extension, compression, acceleration, and exhaustion. It plots a normalized relationship oscillator bounded between -10