Integrated Ichimoku Keltner Trading System Based on Moving Average Strategy

This strategy integrates moving average strategy, Ichimoku cloud charts and Keltner channel technical indicators to achieve trend following and breakthrough trading, which is suitable for high-frequency algorithmic…

Pine ScriptBreakout Mean reversion Trend following EMA SMA ATR Ichimoku Keltner Donchian

Author: ChaoZhang
Complexity: Intermediate · 97 lines
Parameters: 11
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

Strategy Principle

Use Keltner channel to judge whether the stock price exceeds the upper and lower rails of the channel as a signal for opening positions
Ichimoku cloud charts judge the trend direction and use with Keltner channel
Moving average strategy sends closing signals

Advantage Analysis

Integrate multiple technical indicators for comprehensive judgment to improve decision accuracy
Keltner channel judges overbought and oversold conditions to avoid chasing highs and killing lows when opening positions
Ichimoku cloud charts judge major trends to avoid trading against the trend
Moving average strategy filters shocks and prevents excessive sensitivity

Risk Analysis

The integration of multiple indicators makes parameter settings more complex and requires careful testing
The crossing of conversion line and baseline of cloud charts is not always a reliable trading signal
The Keltner channel needs to adjust parameters to adapt to the characteristics of different stocks

Optimization Directions

Evaluate server performance and appropriately shorten moving average cycles to increase trading frequency
Test the sensitivity of different stocks to parameters and set adaptive parameters
Increase stop loss strategy to reduce single loss

Summary

This strategy integrates Ichimoku cloud charts, Keltner channels and moving average strategies with multiple technical indicators to achieve trend tracking and efficient breakthrough trading. Compared with a single indicator, the judgment of this strategy is more comprehensive and accurate, avoiding certain false signals. At the same time, there are also problems that the parameter settings are more complex and need to be optimized for individual stocks. In general, this strategy is suitable for high-frequency algorithmic trading with significant effects.

Parameters

Name	Default	What it controls
v_input_1	true	useTrueRange
v_input_2	18	length
v_input_3	1.8	mult
v_input_4	200	ATRlength
v_input_5	2.272	ATRMult
v_input_6	26	EMA Length
v_input_7_close	0	Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_8	15	conversionPeriods
v_input_9	35	basePeriods
v_input_10	52	laggingSpan2Periods
v_input_11	26	displacement

Source Pine Script

/*backtest
start: 2023-11-19 00:00:00
end: 2023-12-19 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=3
// Author: Persio Flexa
// Description: Ichimoku Clouds with Keltner Channel, perfect for margin trading 
strategy("Ichimoku Keltner Strategy", overlay=true) 

// -- Keltner ------------------------------------------------------------------
source = close

useTrueRange = input(true)
length = input(18, minval=1) 
mult = input(1.8)

ma = sma(source, length)
range = useTrueRange ? tr : high - low
rangema = sma(range, length)
upper = ma + rangema * mult
lower = ma - rangema * mult

plot(ma, title="BASE", color=orange,transp=85)
plot(upper, title="UPPER", color=red)
plot(lower, title="LOWER", color=green)

//crossUpper = crossover(source, upper)
//crossLower = crossunder(source, lower)
crossUpper = source > upper
crossLower = source  < lower

bprice = 0.0
bprice := crossUpper ? high+syminfo.mintick : nz(bprice[1])

sprice = 0.0
sprice := crossLower ? low -syminfo.mintick : nz(sprice[1]) 

crossBcond = false
crossBcond := crossUpper ? true 
 : na(crossBcond[1]) ? false : crossBcond[1]

crossScond = false
crossScond := crossLower ? true 
 : na(crossScond[1]) ? false : crossScond[1]

cancelBcond = crossBcond and (source < ma or high >= bprice )
cancelScond = crossScond and (source > ma or low <= sprice )

// ---------------------------------------------------------------------


// -- Ichimoku

ATRlength = input(200, minval=1)
ATRMult = input(2.272, minval=1)

ATR = rma(tr(true), ATRlength)

len = input(26, minval=1, title="EMA Length")
src = input(close, title="Source")
out = ema(src, len)

emaup = out+(ATR*ATRMult)
emadw = out-(ATR*ATRMult)

conversionPeriods = input(15, minval=1),
basePeriods = input(35, minval=1)
laggingSpan2Periods = input(52, minval=1),
displacement = input(26, minval=1)

donchian(len) => avg(lowest(len), highest(len))

conversionLine = donchian(conversionPeriods)
baseLine = donchian(basePeriods)
leadLine1 = avg(conversionLine, baseLine)
leadLine2 = donchian(laggingSpan2Periods)

p1 = plot(leadLine1, offset = displacement, color=green,transp=85, title="Lead 1")
p2 = plot(leadLine2, offset = displacement, color=red,transp=85, title="Lead 2")
fill(p1, p2,silver) 

longCond    = crossover(conversionLine, baseLine)
shortCond   = crossunder(conversionLine, baseLine)
// -------------------------------------------------------------------------

if (crossUpper and (conversionLine > baseLine))
    strategy.entry("long", strategy.long, stop=bprice, comment="LONG")

if (crossLower and (conversionLine < baseLine))
    strategy.entry("short", strategy.short, stop=sprice, comment="SHORT")
    
strategy.close("long", when = (shortCond and source < lower))
strategy.close("short", when = (longCond and source > upper))

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-20. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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