Trend Following Momentum Breakout Strategy

The strategy is named "Trend Following Momentum Breakout Strategy". It uses the Super Trend indicator to determine the current trend direction and combines it with the direction of candlestick bodies for trend…

Pine ScriptBreakout Momentum Trend following Bollinger Bands ATR Supertrend

Author: ChaoZhang
Complexity: Intermediate · 70 lines
Parameters: 14
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Logic

The core of this strategy relies on the Super Trend indicator to judge the current trend direction. The Super Trend indicator calculates the upper and lower bands based on the Average True Range (ATR). When prices break through the upper band, it is a bullish signal, and when prices break through the lower band, it is a bearish signal.

When the Super Trend indicator determines an uptrend, if the candlestick is a red body (close below open), go long. When the Super Trend indicator determines a downtrend, if the candlestick is a green body (close above open), go short. This achieves trend following momentum breakout trading.

Advantage Analysis

This strategy combines trend judgment and momentum characteristics to effectively filter out false breakouts and enhance the validity of trading signals. In addition, trading along the trend avoids counter trend operations and greatly improves the probability of profit.

The main advantages are summarized as follows:

Filter false breakouts by combining trend judgment and momentum characteristics
Follow the direction of candlestick bodies to avoid counter trend trading
Higher profitability

Risk Analysis

The main risks of this strategy are:

The issue of how to set the parameters of the Super Trend indicator. Improper parameter settings may cause misjudgment and generate wrong signals.
Only following the direction of the candlestick body cannot determine the strength of the body, and there may be loss risks.
The fixed risk-reward ratio cannot be dynamically adjusted and single loss cannot be controlled.

The counter measures are:

Optimize the parameters of the Super Trend indicator to make the judgment more accurate.
Judge the strength of the candlestick body by combining indicators like trading volume and money flow.
Add dynamic stop loss to control single loss.

Optimization Directions

This strategy can be optimized in the following aspects:

Combine more technical indicators for signal filtering, such as Bollinger Bands and KDJ, to enhance strategy performance.
Add machine learning algorithms to dynamically optimize parameters and make the Super Trend indicator more stable.
Add stop loss mechanisms to stop loss before losses expand.
Use products with bidirectional trading capabilities, such as futures to make full use of both long and short opportunities.

Summary

In general, this strategy is very suitable for medium and short term positions. By combining trend judgment and breakout momentum, it can effectively filter out noise and improve win rate. At the same time, there is still room for parameter optimization to obtain better strategy performance.

Parameters

Name	Default	What it controls
v_input_1	true	Long
v_input_2	true	Short
v_input_3	100	Lot, %
v_input_4	25	cloud, % of ATR
v_input_5	3	Super Trend
v_input_6	7	ATR
v_input_7	true	need center of ATR?
v_input_8	false	need border?
v_input_9	1900	From Year
v_input_10	2100	To Year
v_input_11	true	From Month
v_input_12	12	To Month
v_input_13	true	From day
v_input_14	31	To day

Source Pine Script

/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//Noro
//2018

//@version=2
strategy("Noro's SuperTrend Strategy v1.0", shorttitle = "ST str 1.0", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, pyramiding = 0)

//Settings
needlong = input(true, defval = true, title = "Long")
needshort = input(true, defval = true, title = "Short")
capital = input(100, defval = 100, minval = 1, maxval = 10000, title = "Lot, %")
cloud = input(25, defval = 25, minval = 5, maxval = 50, title = "cloud, % of ATR")
Factor = input(title = "Super Trend", defval = 3, minval = 1, maxval = 100)
ATR = input(title = "ATR", defval = 7, minval = 1,maxval = 100)
centr = input(true, defval = true, title = "need center of ATR?")
border = input(false, defval = false, title = "need border?")
fromyear = input(1900, defval = 1900, minval = 1900, maxval = 2100, title = "From Year")
toyear = input(2100, defval = 2100, minval = 1900, maxval = 2100, title = "To Year")
frommonth = input(01, defval = 01, minval = 01, maxval = 12, title = "From Month")
tomonth = input(12, defval = 12, minval = 01, maxval = 12, title = "To Month")
fromday = input(01, defval = 01, minval = 01, maxval = 31, title = "From day")
today = input(31, defval = 31, minval = 01, maxval = 31, title = "To day")

//Super Trend ATR 1
src = close
Up=hl2-(Factor*atr(ATR))
Dn=hl2+(Factor*atr(ATR))
TUp=close[1]>TUp[1]? max(Up,TUp[1]) : Up
TDown=close[1]<TDown[1]? min(Dn,TDown[1]) : Dn
Trend = close > TDown[1] ? 1: close< TUp[1]? -1: nz(Trend[1],1)
Tsl1 = Trend==1? TUp: TDown
Tsl2 = Trend==1? TDown: TUp
limit = (Tsl1 - Tsl2) / 100 * cloud
upcloud = Tsl1 - limit
dncloud = Tsl2 + limit

//Cloud
linecolor = Trend == 1 ? green : red
centercolor = centr == true ? blue : na
cloudcolor = Trend == 1 ? green : red
cline = (Tsl1 + Tsl2) / 2
P1 = plot(Tsl1, color = border == false ? na : linecolor , style = line , linewidth = 1,title = "SuperTrend ATR-1")
P2 = plot(Tsl2, color = border == false ? na : linecolor , style = line , linewidth = 1,title = "SuperTrend ATR-2")
P3 = plot(cline, color = centercolor , style = line , linewidth = 1,title = "SuperTrend Center")
P4 = plot(upcloud, color = border == false ? na : linecolor , style = line , linewidth = 1,title = "SuperTrend Center+1")
P5 = plot(dncloud, color = border == false ? na : linecolor , style = line , linewidth = 1,title = "SuperTrend Center-1")
fill(P1, P4, color = linecolor == red ? red : lime, transp = 50)
fill(P2, P5, color = linecolor == red ? red : lime, transp = 50)

//Signals
up = Trend == 1 and close < open //and low < cline 
dn = Trend == -1 and close > open //and high > cline

//Trading
size = strategy.position_size
lot = 0.0
lot := size == 0 ? strategy.equity / close * capital / 100 : lot[1]
if up
    strategy.entry("Long", strategy.long, needlong ? lot : 0)

if dn
    strategy.entry("Short", strategy.short, needshort ? lot : 0)

Published by ChaoZhang on the FMZ strategy square · last modified 2024-01-05. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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