ADXRSISMA Multi Indicator Combined Trading Strategy

This strategy combines various technical indicators to identify trend direction and overbought/oversold levels for trade signals. The main indicators used are: 1. Average Directional Index (ADX): Trend strength 2…

Pine ScriptBreakout Mean reversion Trend following RSI SMA ATR Supertrend ADX / DMI

Author: ChaoZhang
Complexity: Starter · 80 lines
Parameters: 5
Backtest bar: 45m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Strategy Logic

This strategy combines various technical indicators to identify trend direction and overbought/oversold levels for trade signals.

The main indicators used are:

Average Directional Index (ADX): Trend strength
Relative Strength Index (RSI): Overbought/oversold
Simple Moving Average (SMA): Short-term trend
SuperTrend: Long/short term trend
Channel Breakout: Trend breakout entry

The trading logic is:

ADX shows trend presence and strength
SuperTrend confirms alignment of long/short term trends
RSI identifies overbought/oversold regions
Enter on SMA crossover
Enter on channel breakout

The multi-indicator combo improves signal accuracy. Different strategies combine into a systematic approach.

Advantages

Multiple indicators improve quality
Strategies combine for systematic entry
ADX identifies trend, RSI overbought/oversold
SuperTrend catches trends, SMA & channel breakout entry

Risks

Multi-parameter tuning requires optimization
Combination conditions occur less frequently
Conflicting indicator signals hard to resolve

Summary

This strategy fully utilizes the strengths of various indicators to build a robust system. But parameter optimization is key for ideal trade frequency. Overall it combines strong trend identification with efficient entries.

Parameters

Name	Default	What it controls
v_input_1	7	ADX Smoothing
v_input_2	7	DI Length
v_input_3	70	OB
v_input_4	30	OS
v_input_int_1	5	Length

Source Pine Script

/*backtest
start: 2023-09-12 00:00:00
end: 2023-09-13 00:00:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
// strategy("Combined Strategy", overlay=true, default_qty_value=100, initial_capital=1000, margin_long=0.1)

adxlen = input(7, title="ADX Smoothing")
dilen = input(7, title="DI Length")
dirmov(len) =>
    up = ta.change(high)
    down = -ta.change(low)
    plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
    minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
    truerange = ta.rma(ta.tr, len)
    plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
    minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
    [plus, minus]

adx(dilen, adxlen) =>
    [plus, minus] = dirmov(dilen)
    sum = plus + minus
    adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
sig = adx(dilen, adxlen)

// The same on Pine Script™
pine_supertrend(factor, atrPeriod) =>
    src = hl2
    atr = ta.atr(atrPeriod)
    upperBand = src + factor * atr
    lowerBand = src - factor * atr
    prevLowerBand = nz(lowerBand[1])
    prevUpperBand = nz(upperBand[1])

    lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ? lowerBand : prevLowerBand
    upperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ? upperBand : prevUpperBand
    int direction = na
    float superTrend = na
    prevSuperTrend = superTrend[1]
    if na(atr[1]) and ta.rsi(close, 21) < 66 and ta.rsi(close,3) > 80 and ta.rsi(close, 28) > 49 and sig > 20
        direction := 1
    else if prevSuperTrend == prevUpperBand
        direction := close > upperBand ? -1 : 1
    else
        direction := close < lowerBand ? 1 : -1
    superTrend := direction == -1 ? lowerBand : upperBand
    [superTrend, direction]

[pineSupertrend, pineDirection] = pine_supertrend(3, 10)
upTrend = pineDirection < 0
downTrend = pineDirection > 0

// Define the 20-period SMA
sma20 = ta.sma(close, 20)

a = ta.rsi(close,14)
OB = input(70)
OS = input(30)
os = a > OB
ob = a < OS

if upTrend and close > pineSupertrend and close > sma20 and os
    strategy.entry("Buy", strategy.long)

if ta.crossunder(close, sma20) or ob
    strategy.close_all()

//define when to breakout of channel 
//("ChannelBreakOutStrategy", overlay=true)
length = input.int(title="Length", minval=1, maxval=1000, defval=5)
upBound = ta.highest(high, length)
downBound = ta.lowest(low, length)
if (not na(close[length]))
	strategy.entry("ChBrkLE", strategy.long, stop=upBound + syminfo.mintick, comment="ChBrkLE")
strategy.entry("ChBrkSE", strategy.short, stop=downBound - syminfo.mintick, comment="ChBrkSE")

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-14. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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