Riding Trends and Mean Reversion with the I11L Hypertrend
The I11L Hypertrend strategy utilizes a momentum scoring system across multiple timeframes to identify oversold levels to buy and uptrends to trade. It aims to profit from short-term countertrend bounces and momentum breakouts.
How the Strategy Works
The key components include:
Longs are entered on oversold reversals when the scores crossover. Shorts are taken when the scores crossover in uptrends.
A trailing stop locks in profits while the take profit exits at a defined risk/reward multiple.
Benefits of the I11L System
The main advantages of this approach:
The dynamic scoring system provides valuable insights for trading both reversals and breakouts.
Potential Weaknesses and Risks
However, some limitations exist:
Past performance metrics can be misleading if not walk-forward tested. Cautious optimization and risk management is required.
Key Tuning Parameters
Some key inputs that can be optimized:
Robust strategies balance performance across bull, bear and range-bound markets. Rigorous walk-forward testing prevents curve fitting.
In Summary
The I11L Hypertrend provides a systematic process for trading oversold bounces and riding upside breakouts. With proper configuration and risk management, this momentum approach can provide an edge over the long-run.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-04-15 00:00:00
period: 8h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=5
// strategy("I11L Hypertrend",overlay=false, initial_capital=1000000,default_qty_value=1000000,default_qty_type=strategy.cash,commission_type=strategy.commission.percent,commission_value=0.00)
strategy.initial_capital=50000
tradingMode = input.string("Oversold or Trend", "Trading Mode", ["Oversold or Trend", "Always Buy"], tooltip="Choose the Trading Mode by trying Both in your Backtesting. I use it if one is far better then the other one.")
invertStrategy = tradingMode == "Trend" ? true : false
compoundingMode = input.bool(false,"Work with the total equity")
useTSL = input.bool(true,"Use a trailing SL")
useTP = input.bool(true,"Use a TP")
scoreLookbackDistance = input.int(20, step=1,title="Lookbackdistance for the Score")
scoreLoopCountTo = 20
leverage = input.float(1.0,"Leverage (x)",[20,10,5,2,1])
SL_Factor = 1 - input.float(3.0,"Risk Capital per Trade unleveraged (%)", minval=0.1, maxval=100, step=0.25) / 100 / leverage
TPFactor = input.float(1.2, step=0.1)
chooseDate = input.string(title="Select Date", defval="All available Records", options=["Start-2012","2012-Now","All available Records"],tooltip="Seperation works best for 8hr cfd markets, you might want to finetune your Settings in the past and see if the future results (2010 to now) are better then random")
dateFrom = chooseDate == "Start-2012" ? timestamp("01 Jan 1970 00:00") : chooseDate == "2012-Now" ? timestamp("01 Jan 2012 00:00") : timestamp("01 Jan 1970 00:00")
dateTo = chooseDate == "Start-2012" ? timestamp("31 Dec 2011 23:59") : chooseDate == "2012-Now" ? timestamp("31 Dec 2170 23:59") : timestamp("31 Dec 2170 23:59")
inDateRange = (time >= dateFrom) and (time < dateTo)
var disableAdditionalBuysThisDay = false
var minuteOfLastSell = 0
if(dayofmonth != dayofmonth[1])
disableAdditionalBuysThisDay := false
longStopPrice = 0.0
longStopPrice := if (strategy.position_size > 0)
if(useTSL)
math.max(high * SL_Factor, longStopPrice[1])
else
strategy.position_avg_price*SL_Factor
else
0
if(strategy.position_size != strategy.position_size[1])
disableAdditionalBuysThisDay := true
//Trade Logic
//isOversold
SCORE = 0
loopCount = 1
for i=0 to scoreLoopCountTo
trendLengthAdjusted = loopCount
loopCount := loopCount + 1
if(ta.ema(close,trendLengthAdjusted) / ta.sma(close,trendLengthAdjusted) > 1)
SCORE := SCORE + 1
SCORE_ema50 = ta.ema(SCORE,scoreLookbackDistance)
SCORE_sma50 = ta.sma(SCORE,scoreLookbackDistance)
isOversold = ta.crossover(SCORE_sma50 / SCORE_ema50,1.0)
isTrend = ta.crossover(SCORE_ema50 / SCORE_sma50,1.0)
isBuy = isTrend or isOversold or tradingMode == "Always Buy"
if(isBuy and not(disableAdditionalBuysThisDay) and inDateRange)
if(compoundingMode)
strategy.entry("Buy", strategy.long, (strategy.equity / close) * leverage)
else
strategy.entry("Buy", strategy.long, (strategy.initial_capital / close) * leverage)
if(strategy.position_size > 0)
strategy.exit("TSL", "Buy", stop=longStopPrice)
if(useTP)
strategy.close("Buy", when=close > strategy.position_avg_price * (1 + (1 - SL_Factor) * TPFactor), comment="TP")
findTrendOrOversold(i) => ta.ema(close,i) / ta.sma(close,i)
plot(1 + 100 * (findTrendOrOversold(1) - 1),color = findTrendOrOversold(1) > 1 ? #6efa7b44 : #ff222244)
plot(1 + 100 * (findTrendOrOversold(2) - 1),color = findTrendOrOversold(2) > 1 ? #73fa7a44 : #ff302244)
plot(1 + 100 * (findTrendOrOversold(3) - 1),color = findTrendOrOversold(3) > 1 ? #78fb7944 : #ff3a2244)
plot(1 + 100 * (findTrendOrOversold(4) - 1),color = findTrendOrOversold(4) > 1 ? #7cfb7844 : #ff432244)
plot(1 + 100 * (findTrendOrOversold(5) - 1),color = findTrendOrOversold(5) > 1 ? #81fb7744 : #ff4b2244)
plot(1 + 100 * (findTrendOrOversold(6) - 1),color = findTrendOrOversold(6) > 1 ? #85fc7644 : #ff522344)
plot(1 + 100 * (findTrendOrOversold(7) - 1),color = findTrendOrOversold(7) > 1 ? #89fc7644 : #fe592444)
plot(1 + 100 * (findTrendOrOversold(8) - 1),color = findTrendOrOversold(8) > 1 ? #8dfc7544 : #fe602544)
plot(1 + 100 * (findTrendOrOversold(9) - 1),color = findTrendOrOversold(9) > 1 ? #91fc7444 : #fe662744)
plot(1 + 100 * (findTrendOrOversold(10) - 1),color = findTrendOrOversold(10) > 1 ? #95fd7344 : #fe6b2944)
plot(1 + 100 * (findTrendOrOversold(11) - 1),color = findTrendOrOversold(11) > 1 ? #99fd7344 : #fd712b44)
plot(1 + 100 * (findTrendOrOversold(12) - 1),color = findTrendOrOversold(12) > 1 ? #9dfd7244 : #fd762d44)
plot(1 + 100 * (findTrendOrOversold(13) - 1),color = findTrendOrOversold(13) > 1 ? #a1fd7144 : #fd7b3044)
plot(1 + 100 * (findTrendOrOversold(14) - 1),color = findTrendOrOversold(14) > 1 ? #a4fe7144 : #fd803244)
plot(1 + 100 * (findTrendOrOversold(15) - 1),color = findTrendOrOversold(15) > 1 ? #a8fe7044 : #fc853544)
plot(1 + 100 * (findTrendOrOversold(16) - 1),color = findTrendOrOversold(16) > 1 ? #abfe7044 : #fc8a3944)
plot(1 + 100 * (findTrendOrOversold(17) - 1),color = findTrendOrOversold(17) > 1 ? #affe6f44 : #fc8f3c44)
plot(1 + 100 * (findTrendOrOversold(18) - 1),color = findTrendOrOversold(18) > 1 ? #b2ff6f44 : #fc933f44)
plot(1 + 100 * (findTrendOrOversold(19) - 1),color = findTrendOrOversold(19) > 1 ? #b6ff6e44 : #fb984344)
plot(1 + 100 * (findTrendOrOversold(20) - 1),color = findTrendOrOversold(20) > 1 ? #b9ff6e44 : #fb9c4744)
plot(invertStrategy ? SCORE_ema50 / SCORE_sma50 : SCORE_sma50 / SCORE_ema50, color=(invertStrategy and isTrend) or (not(invertStrategy) and isOversold) ? color.green : color.gray, linewidth=2)
plot(1,color=color.white)