Quantitative Trading Strategy Based on Ichimoku and ADX Indicators
Author: ChaoZhang, Date: 2024-01-23 11:14:54Tags:
Overview
This strategy combines the Ichimoku Cloud and ADX (Average Directional Index) indicators to identify trend and key support & resistance levels for market entry and exit signals. It aims to capture large price waves during trending markets.
Strategy Mechanism
The Ichimoku Cloud contains 3 moving averages of Tenkan Line, Kijun Line and Chikou line. A buy signal is generated when price breaks above the Tenkan Line and Kijun Line; A sell signalis generated when price breaks below the two lines. The key support & resistance levels are identified by the cloud.
The ADX is used to determine the strength of price trend. A higher reading of +DI and -DI suggests a trending market; when the two lines converge, a range-bound market is defined. The strategy only initiates position on an ADX reading above 20 to avoid whipsaws during sideways market.
By combining Ichimoku trend determination and ADX filtering, the strategy is effective in identifying periods of high price volatility.
Advantages
- Combination of signals provides more reliable confirmation
- ADX filter avoids incorrect trades during non-trending periods
- Good backtest performance with high risk-return profile
Risk Analysis
- Better suited for trending stocks; less frequent signals in range bound market
- Ichimoku has inherent lag and may miss quick reversal patterns
- Imperfect determination of non-trending environment by ADX
Optimization Scope
- Test different parameter combinations like Tenkan, Kijun periods
- Combine other indicators, e.g. MACD, KD etc., for further enhancement
- Examine different ADX filtering logics and threshold values
Summary
The strategy effectively combines Ichimoku and ADX to capture trending markets. With further fine-tuning of parameters and rules, better backtest and live performance can be achieved. It is suitable for trend-focused traders.
/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-10 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy(title="Ichimoku + ADX", shorttitle="Ichimoku & ADX Backtest", overlay=true)
//------------------------------
//------------------------------
// ICHIMOKU
//------------------------------
//------------------------------
conversionPeriods = input(9, minval=1, title="Conversion Line Periods"),
basePeriods = input(26, minval=1, title="Base Line Periods")
laggingSpan2Periods = input(52, minval=1, title="Lagging Span 2 Periods"),
displacement = input(26, minval=1, title="Displacement")
donchian(len) => avg(lowest(len), highest(len))
Tenkan = donchian(conversionPeriods)
Kijun = donchian(basePeriods)
SSA = avg(Tenkan, Kijun)
SSB = donchian(laggingSpan2Periods)
SSAdisp = SSA[displacement]
SSBdisp = SSB[displacement]
// Plot Ichimoku
// --------------------
plot(Tenkan, color=color.red, title="Tenkan")
plot(Kijun, color=color.blue, title="Kijun")
plot(close, offset = -displacement + 1, color=#459915, title="Chikou")
p1 = plot(SSA, offset = displacement - 1, color=color.green,
title="Senkou A")
p2 = plot(SSB, offset = displacement - 1, color=color.red,
title="Senkou B")
fill(p1, p2, color = SSA > SSB ? color.green : color.red)
//------------------------------
//------------------------------
// ADX
//------------------------------
//------------------------------
adxlen = input(14, title="ADX Smoothing")
dilen = input(14, title="DI Length")
keyLevel = input(23, title="key level for ADX")
dirmov(len) =>
up = change(high)
down = -change(low)
truerange = rma(tr, len)
plus = fixnan(100 * rma(up > down and up > 0 ? up : 0, len) / truerange)
minus = fixnan(100 * rma(down > up and down > 0 ? down : 0, len) / truerange)
[plus, minus]
adx(dilen, adxlen) =>
[plus, minus] = dirmov(dilen)
sum = plus + minus
adx = 100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
[adx, plus, minus]
[sig, up, down] = adx(dilen, adxlen)
// Plot ADX
// --------------------
//plot(sig, color=color.black, title="ADX")
//plot(up, color=color.green, title="+DI",linewidth=2, style=plot.style_columns, transp=40)
//plot(down, color=color.red, title="-DI",linewidth=2, style=plot.style_columns, transp=40)
//plot(keyLevel, color=color.white, title="Key Level")
//------------------------------
//------------------------------
// STRATEGY
//------------------------------
//------------------------------
// Buy & Sell Signals
// --------------------
// ADX
ABuy1 = up > keyLevel and up - down >5 and sig > down and sig < keyLevel * 2
ASell1 = down > keyLevel and down - up >5 and sig > up and sig < keyLevel * 2
// ICHIMOKU
Bull = close >= max(SSAdisp, SSBdisp)
Bear = close <= min(SSAdisp, SSBdisp)
// 1. Bull
Buy1 = (close >= max(SSAdisp, SSBdisp)) ? 1 : 0
Buy2 = (Tenkan - Kijun >= 0.001) ? 1 : 0
Buy3 = SSA > SSB ? 1 : 0
Buy4 = sig > 20 ? 1 : 0
Buy4a = close - close[displacement] >=0.001 ? 1:0
Buy5 = Buy1 and Buy2 and Buy3 and Buy4 and Buy4a and not(Buy1[1] and Buy2[1] and Buy3[1])
// 1. Bear
Sell1 = (close <= min(SSAdisp, SSBdisp)) ? 1 : 0
Sell2 = (Kijun - Tenkan >= 0.001) ? 1 : 0
Sell3 = SSA < SSB ? 1 : 0
Sell4 = sig > 20 ? 1 : 0
Sell4a = close <= close[displacement]
Sell5 = Sell1 and Sell2 and Sell3 and Sell4 and Sell4a and not(Sell1[1] and Sell2[1] and Sell3[1])
// CONSOLIDATED
buysignal = Buy5
buyexitsignal = crossunder(close,Kijun)
sellsignal = Sell5
sellexitsignal = crossover(close,Kijun)
longCondition = buysignal
shortCondition = sellsignal
// Plot Indicators
// --------------------
// ----- Buy & Sell
//plotshape(longCondition, title = "Buy Signal", text ="BUY", textcolor =#FFFFFF , style=shape.labelup, size = size.tiny, location=location.belowbar, color = #1B8112, transp = 0)
//plotshape(shortCondition, title = "Short Signal", text ="SHORT", textcolor =#FFFFFF , style=shape.labeldown, size = size.tiny, location=location.abovebar, color = #000000, transp = 0)
// ----- Ichimoku Signals
//plotshape(Sell2, title = "Sell Signal", text ="Kumo Twist", textcolor =#FFFFFF , style=shape.labelup, size = size.tiny, location=location.top, color = color.black, transp = 0)
//plotshape(Sell3, title = "Sell Signal", text ="TK/KJ", textcolor =#FFFFFF , style=shape.labelup, size = size.tiny, location=location.bottom, color = color.black, transp = 0)
//plotshape(Buy4, title = "Buy Signal", text ="Kumo Twist", textcolor =#FFFFFF , style=shape.diamond, size = size.tiny, location=location.belowbar, color = color.blue, transp = 0)
//plotshape(Buy3, title = "Buy Signal", text ="TK/KJ", textcolor =#FFFFFF , style=shape.circle, size = size.tiny, location=location.abovebar, color = color.green, transp = 0)
//plotshape(Buy4, title = "Buy Signal", text ="TK/KJ", textcolor =#FFFFFF , style=shape.circle, size = size.tiny, location=location.belowbar, color = color.red, transp = 0)
//plotshape(buyexitsignal, title = "Buy Exit", style=shape.triangledown, size = size.tiny, location=location.abovebar, color = color.green, transp = 0)
//plotshape(sellexitsignal, title = "Buy Exit", style=shape.triangleup, size = size.tiny, location=location.belowbar, color = color.black, transp = 0)
//------------------------------
//------------------------------
// EXECUTION
//------------------------------
//------------------------------
// Test Range
// --------------------
// === INPUT BACKTEST RANGE ===
FromMonth = input(defval = 2, title = "From Month", minval = 1, maxval = 12)
FromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31)
FromYear = input(defval = 2015, title = "From Year", minval = 2017)
ToMonth = input(defval = 1, title = "To Month", minval = 1, maxval = 12)
ToDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31)
ToYear = input(defval = 9999, title = "To Year", minval = 2017)
// === FUNCTION EXAMPLE ===
start = timestamp(FromYear, FromMonth, FromDay, 00, 00) // backtest start window
finish = timestamp(ToYear, ToMonth, ToDay, 23, 59) // backtest finish window
window() => true // create function "within window of time"
// Orders
// --------------------
if longCondition
strategy.entry("Buy", strategy.long, when=window())
if buyexitsignal
strategy.close("Buy")
if shortCondition
strategy.entry("Sell", strategy.short, when=window())
if sellexitsignal
strategy.close("Sell")
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