Quantitative Trading Strategy Based on Double Trend Filter

Pine ScriptTrend following Tools & templates RSI MACD EMA SMA Stochastic Heikin Ashi

Author: ChaoZhang
Complexity: Advanced · 596 lines
Parameters: 104
Backtest bar: 1h · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

Overview

This is a quantitative trading strategy that utilizes double trend filters. The strategy combines both global trend filter and local trend filter to ensure entering positions only when the trend direction is correct. In addition, the strategy sets multiple other filters such as RSI filter, price filter, slope filter etc. to further improve reliability of trading signals. On the exit side, the strategy presets stop loss price and take profit price. Overall, this is a stable and precise quantitative trading strategy.

Strategy Logic

The core logic of this strategy is based on the double trend filters. The global trend filter judges overall market trend based on high-period EMA, while the local trend filter judges local trend based on low-period EMA. Only when both filters suggest the same trend direction, the strategy will enter positions.

Specifically, the strategy calculates BTCUSDT's EMA to determine if the overall market is in an upward or downward trend. This is the global trend filter. At the same time, the strategy calculates EMA of the underlying contract to determine local trend. This is the local trend filter. Only when both filters agree on the same trend direction, combined with other auxiliary filters, the strategy will generate trading signals and preset stop loss and take profit prices for entering positions.

Once determining a tradable signal, the strategy will immediately place orders to enter positions. Meanwhile, stop loss price and take profit price are preset. When price touches either of them, the strategy will automatically exit positions with stop loss or take profit.

Advantage Analysis

This is a stable and reliable quantitative trading strategy with the following main advantages:

Adopting double trend filtering mechanism to filter out most false signals and make trading signals more reliable.
Combining multiple auxiliary filters like RSI filter and price filter to further improve signal quality.
Automatically calculating stop loss and take profit price to lower trading risks without manual monitoring.
Customizable strategy parameters to adapt more trading instruments with better adaptability.
Clear strategy logic easy to understand, and with greater potential for optimization.

Risk Analysis

Although with many advantages, there are still some trading risks mainly in:

Double trend filters may fail to determine accurate entry timing. Parameters can be optimized.
Inaccurate stop loss and take profit price setting may lead to premature exit. Different parameter sets can be tested to find optimum.
Improper selection of trading instruments and timeframes may make the strategy ineffective. Parameter optimization and testing are suggested separately for different trading instruments.
There are some overfitting risks. More backtests in diverse market environments are needed to ensure robustness.

Optimization Directions

The main directions for optimizing this strategy include:

Adjust parameters of double filters to find optimum combination.
Test and select the best auxiliary filters.
Optimize the stop loss and take profit algorithms to make them more intelligent.
Try introducing machine learning models for dynamic parameter tuning.
More backtests on more instruments and longer time spans to improve stability.

Conclusion

In conclusion, this is an overall stable, accurate and easily optimizable quantitative trading strategy. It produces trading signals by combining double trend filters and multiple auxiliary filters, filtering out most noise and generating more reliable signals. Also, the inbuilt stop loss and take profit presetting helps lower trading risks. This is a strategy with great practical value. After optimization and validation, it can be directly applied for live trading. Moreover, it has huge potential for expansions and is worth in-depth researching.

Parameters

Name	Default	What it controls
v_input_1	true	Show WaveTrend
v_input_2	true	Show Buy dots
v_input_3	true	Show Gold dots
v_input_4	true	Show Sell dots
v_input_5	true	Show Div. dots
v_input_6	true	Show Fast WT
v_input_7	9	WT Channel Length
v_input_8	12	WT Average Length
v_input_9_hlc3	0	WT MA Source: hlc3 \| high \| low \| open \| hl2 \| close \| hlcc4 \| ohlc4
v_input_10	3	WT MA Length
v_input_11	53	WT Overbought Level 1
v_input_12	60	WT Overbought Level 2
v_input_13	100	WT Overbought Level 3
v_input_14	-53	WT Oversold Level 1
v_input_15	-60	WT Oversold Level 2
v_input_16	-75	WT Oversold Level 3
v_input_17	true	Show WT Regular Divergences
v_input_18	false	Show WT Hidden Divergences
v_input_19	true	Not apply OB/OS Limits on Hidden Divergences
v_input_20	45	WT Bearish Divergence min
v_input_21	-65	WT Bullish Divergence min
v_input_22	false	Show 2nd WT Regular Divergences
v_input_23	15	WT 2nd Bearish Divergence
v_input_24	-40	WT 2nd Bullish Divergence 15 min
v_input_25	true	Show MFI
v_input_26	60	MFI Period
v_input_27	150	MFI Area multiplier
v_input_28	2.5	MFI Area Y Pos
v_input_29	false	Show RSI
v_input_30_close	0	RSI Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_31	14	RSI Length
v_input_32	30	RSI Oversold
v_input_33	60	RSI Overbought
v_input_34	false	Show RSI Regular Divergences
v_input_35	false	Show RSI Hidden Divergences
v_input_36	60	RSI Bearish Divergence min
v_input_37	30	RSI Bullish Divergence min
v_input_38	true	Show Stochastic RSI
v_input_39	true	Use Log?
v_input_40	false	Use Average of both K & D
v_input_41_close	0	Stochastic RSI Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_42	14	Stochastic RSI Length
v_input_43	14	RSI Length
v_input_44	3	Stochastic RSI K Smooth
v_input_45	3	Stochastic RSI D Smooth
v_input_46	false	Show Stoch Regular Divergences
v_input_47	false	Show Stoch Hidden Divergences
v_input_48	false	Show Schaff TC line
v_input_49_close	0	Schaff TC Source: close \| high \| low \| open \| hl2 \| hlc3 \| hlcc4 \| ohlc4
v_input_50	10	Schaff TC
v_input_51	23	Schaff TC Fast Lenght
v_input_52	50	Schaff TC Slow Length
v_input_53	0.5	Schaff TC Factor
v_input_54	false	Show Sommi flag
v_input_55	false	Show Sommi F. Wave
v_input_56	720	Sommi F. Wave timeframe
v_input_57	false	F. Wave Bear Level (less than)
v_input_58	false	F. Wave Bull Level (more than)
v_input_59	false	WT Bear Level (more than)
v_input_60	false	WT Bull Level (less than)
v_input_61	false	Money flow Bear Level (less than)
v_input_62	false	Money flow Bull Level (more than)
v_input_63	false	Show Sommi diamond
v_input_64	60	HTF Candle Res. 1
v_input_65	240	HTF Candle Res. 2
v_input_66	false	WT Bear Level (More than)
v_input_67	false	WT Bull Level (Less than)
v_input_68	false	Show MACD Colors
v_input_69	240	MACD Colors MACD TF
v_input_70	false	Dark mode
v_input_71	true	(?Trend Settings)Use Global trend?
v_input_72	0	Global trend timeframe: 5 \| 60 \| D
v_input_73	1700	Global trend length
v_input_74	20	Local trend filter length
v_input_75	0	Local trend filter timeframe: 60 \| D \| 5
v_input_76	true	Only divergencies for long
v_input_77	true	Only divergencies for short
v_input_78	false	Sommi diamond alerts
v_input_79	false	Cancel all positions if price crosses local sma? (yellow line)
v_input_85	false	RSI filter ON
v_input_86	false	Price filter ON
v_input_87	1000	Long Price filter from
v_input_88	1200	Long Price filter to
v_input_89	1000	Short Price filter from
v_input_90	1200	Short Price filter to
v_input_91	true	Use Local trend?
v_input_80	0.95	(?TP/SL Settings)TP long
v_input_81	0.95	TP long div
v_input_82	0.95	TP short
v_input_83	5	SL long
v_input_84	5	SL short
v_input_92	false	(?Slope Settings)Use Slope filter?
v_input_93	-0.3	Slope number long
v_input_94	0.16	Slope number short
v_input_95	300	Slope period
v_input_96	true	(?Position Settings)Only long?
v_input_97	true	Only short?
v_input_98	false	(?Volume Settings)Volume filter?
v_input_99	3700	Volume no more than:
v_input_100	600	Volume no less than:
v_input_101	false	(?Shift Settings)Shift open position?
v_input_102	0.5	How many % to shift?
v_input_103	false	(?Cancel Settings)Cancel position in #bars?
v_input_104	96	Number of bars

Source Pine Script

/*backtest
start: 2023-01-01 00:00:00
end: 2023-12-25 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/


//@version=4

strategy(title = 'Cipher_B', overlay=true )

// PARAMETERS {

// WaveTrend
wtShow = input(true, title = 'Show WaveTrend', type = input.bool)
wtBuyShow = input(true, title = 'Show Buy dots', type = input.bool)
wtGoldShow = input(true, title = 'Show Gold dots', type = input.bool)
wtSellShow = input(true, title = 'Show Sell dots', type = input.bool)
wtDivShow = input(true, title = 'Show Div. dots', type = input.bool)
vwapShow = input(true, title = 'Show Fast WT', type = input.bool)
wtChannelLen = input(9, title = 'WT Channel Length', type = input.integer)
wtAverageLen = input(12, title = 'WT Average Length', type = input.integer)
wtMASource = input(hlc3, title = 'WT MA Source', type = input.source)
wtMALen = input(3, title = 'WT MA Length', type = input.integer)

// WaveTrend Overbought & Oversold lines
obLevel = input(53, title = 'WT Overbought Level 1', type = input.integer)
obLevel2 = input(60, title = 'WT Overbought Level 2', type = input.integer)
obLevel3 = input(100, title = 'WT Overbought Level 3', type = input.integer)
osLevel = input(-53, title = 'WT Oversold Level 1', type = input.integer)
osLevel2 = input(-60, title = 'WT Oversold Level 2', type = input.integer)
osLevel3 = input(-75, title = 'WT Oversold Level 3', type = input.integer)

// Divergence WT
wtShowDiv = input(true, title = 'Show WT Regular Divergences', type = input.bool)
wtShowHiddenDiv = input(false, title = 'Show WT Hidden Divergences', type = input.bool)
showHiddenDiv_nl = input(true, title = 'Not apply OB/OS Limits on Hidden Divergences', type = input.bool)
wtDivOBLevel = input(45, title = 'WT Bearish Divergence min', type = input.integer)
wtDivOSLevel = input(-65, title = 'WT Bullish Divergence min', type = input.integer)

// Divergence extra range
wtDivOBLevel_addshow = input(false, title = 'Show 2nd WT Regular Divergences', type = input.bool)
wtDivOBLevel_add = input(15, title = 'WT 2nd Bearish Divergence', type = input.integer)
wtDivOSLevel_add = input(-40, title = 'WT 2nd Bullish Divergence 15 min', type = input.integer)

// RSI+MFI
rsiMFIShow = input(true, title = 'Show MFI', type = input.bool)
rsiMFIperiod = input(60,title = 'MFI Period', type = input.integer)
rsiMFIMultiplier = input(150, title = 'MFI Area multiplier', type = input.float)
rsiMFIPosY = input(2.5, title = 'MFI Area Y Pos', type = input.float)

// RSI
rsiShow = input(false, title = 'Show RSI', type = input.bool)
rsiSRC = input(close, title = 'RSI Source', type = input.source)
rsiLen = input(14, title = 'RSI Length', type = input.integer)
rsiOversold = input(30, title = 'RSI Oversold', minval = 50, maxval = 100, type = input.integer)
rsiOverbought = input(60, title = 'RSI Overbought', minval = 0, maxval = 50, type = input.integer)

// Divergence RSI
rsiShowDiv = input(false, title = 'Show RSI Regular Divergences', type = input.bool)
rsiShowHiddenDiv = input(false, title = 'Show RSI Hidden Divergences', type = input.bool)
rsiDivOBLevel = input(60, title = 'RSI Bearish Divergence min', type = input.integer)
rsiDivOSLevel = input(30, title = 'RSI Bullish Divergence min', type = input.integer)

// RSI Stochastic
stochShow = input(true, title = 'Show Stochastic RSI', type = input.bool)
stochUseLog = input(true, title=' Use Log?', type = input.bool)
stochAvg = input(false, title='Use Average of both K & D', type = input.bool)
stochSRC = input(close, title = 'Stochastic RSI Source', type = input.source)
stochLen = input(14, title = 'Stochastic RSI Length', type = input.integer)
stochRsiLen = input(14, title = 'RSI Length ', type = input.integer)
stochKSmooth = input(3, title = 'Stochastic RSI K Smooth', type = input.integer)
stochDSmooth = input(3, title = 'Stochastic RSI D Smooth', type = input.integer)

// Divergence stoch
stochShowDiv = input(false, title = 'Show Stoch Regular Divergences', type = input.bool)
stochShowHiddenDiv = input(false, title = 'Show Stoch Hidden Divergences', type = input.bool)

// Schaff Trend Cycle
tcLine = input(false, title="Show Schaff TC line", type=input.bool)
tcSRC = input(close, title = 'Schaff TC Source', type = input.source)
tclength = input(10, title="Schaff TC", type=input.integer)
tcfastLength = input(23, title="Schaff TC Fast Lenght", type=input.integer)
tcslowLength = input(50, title="Schaff TC Slow Length", type=input.integer)
tcfactor = input(0.5, title="Schaff TC Factor", type=input.float)

// Sommi Flag
sommiFlagShow = input(false, title = 'Show Sommi flag', type = input.bool)
sommiShowVwap = input(false, title = 'Show Sommi F. Wave', type = input.bool)
sommiVwapTF = input('720', title = 'Sommi F. Wave timeframe', type = input.string)
sommiVwapBearLevel = input(0, title = 'F. Wave Bear Level (less than)', type = input.integer)
sommiVwapBullLevel = input(0, title = 'F. Wave Bull Level (more than)', type = input.integer)
soomiFlagWTBearLevel = input(0, title = 'WT Bear Level (more than)', type = input.integer) 
soomiFlagWTBullLevel = input(0, title = 'WT Bull Level (less than)', type = input.integer) 
soomiRSIMFIBearLevel = input(0, title = 'Money flow Bear Level (less than)', type = input.integer) 
soomiRSIMFIBullLevel = input(0, title = 'Money flow Bull Level (more than)', type = input.integer) 

// Sommi Diamond
sommiDiamondShow = input(false, title = 'Show Sommi diamond', type = input.bool)
sommiHTCRes = input('60', title = 'HTF Candle Res. 1', type = input.string)
sommiHTCRes2 = input('240', title = 'HTF Candle Res. 2', type = input.string)
soomiDiamondWTBearLevel = input(0, title = 'WT Bear Level (More than)', type = input.integer)
soomiDiamondWTBullLevel = input(0, title = 'WT Bull Level (Less than)', type = input.integer)

// macd Colors
macdWTColorsShow = input(false, title = 'Show MACD Colors', type = input.bool)
macdWTColorsTF = input('240', title = 'MACD Colors MACD TF', type = input.string)

darkMode = input(false, title = 'Dark mode', type = input.bool)


// Colors
colorRed = #ff0000
colorPurple = #e600e6
colorGreen = #3fff00
colorOrange = #e2a400
colorYellow = #ffe500
colorWhite = #ffffff
colorPink = #ff00f0
colorBluelight = #31c0ff

colorWT1 = #90caf9
colorWT2 = #0d47a1

colorWT2_ = #131722

colormacdWT1a = #4caf58
colormacdWT1b = #af4c4c
colormacdWT1c = #7ee57e
colormacdWT1d = #ff3535

colormacdWT2a = #305630
colormacdWT2b = #310101
colormacdWT2c = #132213
colormacdWT2d = #770000

// } PARAMETERS


// FUNCTIONS {
  
// Divergences 
f_top_fractal(src) => src[4] < src[2] and src[3] < src[2] and src[2] > src[1] and src[2] > src[0]
f_bot_fractal(src) => src[4] > src[2] and src[3] > src[2] and src[2] < src[1] and src[2] < src[0]
f_fractalize(src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0

f_findDivs(src, topLimit, botLimit, useLimits) =>
    fractalTop = f_fractalize(src) > 0 and (useLimits ? src[2] >= topLimit : true) ? src[2] : na
    fractalBot = f_fractalize(src) < 0 and (useLimits ? src[2] <= botLimit : true) ? src[2] : na
    highPrev = valuewhen(fractalTop, src[2], 0)[2]
    highPrice = valuewhen(fractalTop, high[2], 0)[2]
    lowPrev = valuewhen(fractalBot, src[2], 0)[2]
    lowPrice = valuewhen(fractalBot, low[2], 0)[2]
    bearSignal = fractalTop and high[2] > highPrice and src[2] < highPrev
    bullSignal = fractalBot and low[2] < lowPrice and src[2] > lowPrev
    bearDivHidden = fractalTop and high[2] < highPrice and src[2] > highPrev
    bullDivHidden = fractalBot and low[2] > lowPrice and src[2] < lowPrev
    [fractalTop, fractalBot, lowPrev, bearSignal, bullSignal, bearDivHidden, bullDivHidden]
        
// RSI+MFI
f_rsimfi(_period, _multiplier, _tf) => security(syminfo.tickerid, _tf, sma(((close - open) / (high - low)) * _multiplier, _period) - rsiMFIPosY)
   
// WaveTrend
f_wavetrend(src, chlen, avg, malen, tf) =>
    tfsrc = security(syminfo.tickerid, tf, src)
    esa = ema(tfsrc, chlen)
    de = ema(abs(tfsrc - esa), chlen)
    ci = (tfsrc - esa) / (0.015 * de)
    wt1 = security(syminfo.tickerid, tf, ema(ci, avg))
    wt2 = security(syminfo.tickerid, tf, sma(wt1, malen))
    wtVwap = wt1 - wt2
    wtOversold = wt2 <= osLevel
    wtOverbought = wt2 >= obLevel
    wtCross = cross(wt1, wt2)
    wtCrossUp = wt2 - wt1 <= 0
    wtCrossDown = wt2 - wt1 >= 0
    wtCrosslast = cross(wt1[2], wt2[2])
    wtCrossUplast = wt2[2] - wt1[2] <= 0
    wtCrossDownlast = wt2[2] - wt1[2] >= 0
    [wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCrosslast, wtCrossUplast, wtCrossDownlast, wtVwap]

// Schaff Trend Cycle
f_tc(src, length, fastLength, slowLength) =>
    ema1 = ema(src, fastLength)
    ema2 = ema(src, slowLength)
    macdVal = ema1 - ema2	
    alpha = lowest(macdVal, length)
    beta = highest(macdVal, length) - alpha
    gamma = (macdVal - alpha) / beta * 100
    gamma := beta > 0 ? gamma : nz(gamma[1])
    delta = gamma
    delta := na(delta[1]) ? delta : delta[1] + tcfactor * (gamma - delta[1])
    epsilon = lowest(delta, length)
    zeta = highest(delta, length) - epsilon
    eta = (delta - epsilon) / zeta * 100
    eta := zeta > 0 ? eta : nz(eta[1])
    stcReturn = eta
    stcReturn := na(stcReturn[1]) ? stcReturn : stcReturn[1] + tcfactor * (eta - stcReturn[1])
    stcReturn

// Stochastic RSI
f_stochrsi(_src, _stochlen, _rsilen, _smoothk, _smoothd, _log, _avg) =>
    src = _log ? log(_src) : _src
    rsi = rsi(src, _rsilen)
    kk = sma(stoch(rsi, rsi, rsi, _stochlen), _smoothk)
    d1 = sma(kk, _smoothd)
    avg_1 = avg(kk, d1)
    k = _avg ? avg_1 : kk
    [k, d1]

// MACD
f_macd(src, fastlen, slowlen, sigsmooth, tf) =>
    fast_ma = security(syminfo.tickerid, tf, ema(src, fastlen))
    slow_ma = security(syminfo.tickerid, tf, ema(src, slowlen))
    macd = fast_ma - slow_ma,
    signal = security(syminfo.tickerid, tf, sma(macd, sigsmooth))
    hist = macd - signal
    [macd, signal, hist]
// MACD Colors on WT    
f_macdWTColors(tf) =>
    hrsimfi = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, tf)
    [macd, signal, hist] = f_macd(close, 28, 42, 9, macdWTColorsTF)
    macdup = macd >= signal
    macddown = macd <= signal
    macdWT1Color = macdup ? hrsimfi > 0 ? colormacdWT1c : colormacdWT1a : macddown ? hrsimfi < 0 ? colormacdWT1d : colormacdWT1b : na
    macdWT2Color = macdup ? hrsimfi < 0 ? colormacdWT2c : colormacdWT2a : macddown ? hrsimfi < 0 ? colormacdWT2d : colormacdWT2b : na 
    [macdWT1Color, macdWT2Color]
    
// Get higher timeframe candle
f_getTFCandle(_tf) => 
    _open  = security(heikinashi(syminfo.tickerid), _tf, open, barmerge.gaps_off, barmerge.lookahead_off)
    _close = security(heikinashi(syminfo.tickerid), _tf, close, barmerge.gaps_off, barmerge.lookahead_off)
    _high  = security(heikinashi(syminfo.tickerid), _tf, high, barmerge.gaps_off, barmerge.lookahead_off)
    _low   = security(heikinashi(syminfo.tickerid), _tf, low, barmerge.gaps_off, barmerge.lookahead_off)
    hl2   = (_high + _low) / 2.0
    newBar = change(_open)
    candleBodyDir = _close > _open
    [candleBodyDir, newBar]

// Sommi flag
f_findSommiFlag(tf, wt1, wt2, rsimfi, wtCross, wtCrossUp, wtCrossDown) =>    
    [hwt1, hwt2, hwtOversold, hwtOverbought, hwtCross, hwtCrossUp, hwtCrossDown, hwtCrosslast, hwtCrossUplast, hwtCrossDownlast, hwtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, tf)      
    
    bearPattern = rsimfi < soomiRSIMFIBearLevel and
                   wt2 > soomiFlagWTBearLevel and 
                   wtCross and 
                   wtCrossDown and 
                   hwtVwap < sommiVwapBearLevel
                   
    bullPattern = rsimfi > soomiRSIMFIBullLevel and 
                   wt2 < soomiFlagWTBullLevel and 
                   wtCross and 
                   wtCrossUp and 
                   hwtVwap > sommiVwapBullLevel
    
    [bearPattern, bullPattern, hwtVwap]
    
f_findSommiDiamond(tf, tf2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown) =>
    [candleBodyDir, newBar] = f_getTFCandle(tf)
    [candleBodyDir2, newBar2] = f_getTFCandle(tf2)
    bearPattern = wt2 >= soomiDiamondWTBearLevel and
                   wtCross and
                   wtCrossDown and
                   not candleBodyDir and
                   not candleBodyDir2                   
    bullPattern = wt2 <= soomiDiamondWTBullLevel and
                   wtCross and
                   wtCrossUp and
                   candleBodyDir and
                   candleBodyDir2 
    [bearPattern, bullPattern]
 
// } FUNCTIONS  

// CALCULATE INDICATORS {

// RSI
rsi = rsi(rsiSRC, rsiLen)
rsiColor = rsi <= rsiOversold ? colorGreen : rsi >= rsiOverbought ? colorRed : colorPurple

// RSI + MFI Area
rsiMFI = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, timeframe.period)
rsiMFIColor = rsiMFI > 0 ? #3ee145 : #ff3d2e

// Calculates WaveTrend
[wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCross_last, wtCrossUp_last, wtCrossDown_last, wtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, timeframe.period)
 
// Stochastic RSI
[stochK, stochD] = f_stochrsi(stochSRC, stochLen, stochRsiLen, stochKSmooth, stochDSmooth, stochUseLog, stochAvg)

// Schaff Trend Cycle
tcVal = f_tc(tcSRC, tclength, tcfastLength, tcslowLength)

// Sommi flag
[sommiBearish, sommiBullish, hvwap] = f_findSommiFlag(sommiVwapTF, wt1, wt2, rsiMFI, wtCross,  wtCrossUp, wtCrossDown)

//Sommi diamond
[sommiBearishDiamond, sommiBullishDiamond] = f_findSommiDiamond(sommiHTCRes, sommiHTCRes2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown)

// macd colors
[macdWT1Color, macdWT2Color] = f_macdWTColors(macdWTColorsTF)

// WT Divergences
[wtFractalTop, wtFractalBot, wtLow_prev, wtBearDiv, wtBullDiv, wtBearDivHidden, wtBullDivHidden] = f_findDivs(wt2, wtDivOBLevel, wtDivOSLevel, true)
    
[wtFractalTop_add, wtFractalBot_add, wtLow_prev_add, wtBearDiv_add, wtBullDiv_add, wtBearDivHidden_add, wtBullDivHidden_add] =  f_findDivs(wt2, wtDivOBLevel_add, wtDivOSLevel_add, true)
[wtFractalTop_nl, wtFractalBot_nl, wtLow_prev_nl, wtBearDiv_nl, wtBullDiv_nl, wtBearDivHidden_nl, wtBullDivHidden_nl] =  f_findDivs(wt2, 0, 0, false)

wtBearDivHidden_ = showHiddenDiv_nl ? wtBearDivHidden_nl : wtBearDivHidden
wtBullDivHidden_ = showHiddenDiv_nl ? wtBullDivHidden_nl : wtBullDivHidden

wtBearDivColor = (wtShowDiv and wtBearDiv) or (wtShowHiddenDiv and wtBearDivHidden_) ? colorRed : na
wtBullDivColor = (wtShowDiv and wtBullDiv) or (wtShowHiddenDiv and wtBullDivHidden_) ? colorGreen : na

wtBearDivColor_add = (wtShowDiv and (wtDivOBLevel_addshow and wtBearDiv_add)) or (wtShowHiddenDiv and (wtDivOBLevel_addshow and wtBearDivHidden_add)) ? #9a0202 : na
wtBullDivColor_add = (wtShowDiv and (wtDivOBLevel_addshow and wtBullDiv_add)) or (wtShowHiddenDiv and (wtDivOBLevel_addshow and wtBullDivHidden_add)) ? #1b5e20 : na

// RSI Divergences
[rsiFractalTop, rsiFractalBot, rsiLow_prev, rsiBearDiv, rsiBullDiv, rsiBearDivHidden, rsiBullDivHidden] = f_findDivs(rsi, rsiDivOBLevel, rsiDivOSLevel, true)
[rsiFractalTop_nl, rsiFractalBot_nl, rsiLow_prev_nl, rsiBearDiv_nl, rsiBullDiv_nl, rsiBearDivHidden_nl, rsiBullDivHidden_nl] = f_findDivs(rsi, 0, 0, false)

rsiBearDivHidden_ = showHiddenDiv_nl ? rsiBearDivHidden_nl : rsiBearDivHidden
rsiBullDivHidden_ = showHiddenDiv_nl ? rsiBullDivHidden_nl : rsiBullDivHidden

rsiBearDivColor = (rsiShowDiv and rsiBearDiv) or (rsiShowHiddenDiv and rsiBearDivHidden_) ? colorRed : na
rsiBullDivColor = (rsiShowDiv and rsiBullDiv) or (rsiShowHiddenDiv and rsiBullDivHidden_) ? colorGreen : na
 
// Stoch Divergences
[stochFractalTop, stochFractalBot, stochLow_prev, stochBearDiv, stochBullDiv, stochBearDivHidden, stochBullDivHidden] = f_findDivs(stochK, 0, 0, false)

stochBearDivColor = (stochShowDiv and stochBearDiv) or (stochShowHiddenDiv and stochBearDivHidden) ? colorRed : na
stochBullDivColor = (stochShowDiv and stochBullDiv) or (stochShowHiddenDiv and stochBullDivHidden) ? colorGreen : na


// Small Circles WT Cross
signalColor = wt2 - wt1 > 0 ? color.red : color.lime

// Buy signal.
buySignal = wtCross and wtCrossUp and wtOversold

buySignalDiv = (wtShowDiv and wtBullDiv) or 
               (wtShowDiv and wtBullDiv_add) or 
               (stochShowDiv and stochBullDiv) or 
               (rsiShowDiv and rsiBullDiv)
    
buySignalDiv_color = wtBullDiv ? colorGreen : 
                     wtBullDiv_add ? color.new(colorGreen, 60) : 
                     rsiShowDiv ? colorGreen : na

// Sell signal
sellSignal = wtCross and wtCrossDown and wtOverbought
             
sellSignalDiv = (wtShowDiv and wtBearDiv) or 
               (wtShowDiv and wtBearDiv_add) or
               (stochShowDiv and stochBearDiv) or
               (rsiShowDiv and rsiBearDiv)
                    
sellSignalDiv_color = wtBearDiv ? colorRed : 
                     wtBearDiv_add ? color.new(colorRed, 60) : 
                     rsiBearDiv ? colorRed : na

// Gold Buy 
lastRsi = valuewhen(wtFractalBot, rsi[2], 0)[2]
wtGoldBuy = ((wtShowDiv and wtBullDiv) or (rsiShowDiv and rsiBullDiv)) and
           wtLow_prev <= osLevel3 and
           wt2 > osLevel3 and
           wtLow_prev - wt2 <= -5 and
           lastRsi < 30           
          
// } CALCULATE INDICATORS


// DRAW {
bgcolor(darkMode ? color.new(#000000, 80) : na)
zLine = plot(0, color = color.new(colorWhite, 50))

//  MFI BAR 
rsiMfiBarTopLine = plot(rsiMFIShow ? -95 : na, title = 'MFI Bar TOP Line', transp = 100)
rsiMfiBarBottomLine = plot(rsiMFIShow ? -99 : na, title = 'MFI Bar BOTTOM Line', transp = 100)
fill(rsiMfiBarTopLine, rsiMfiBarBottomLine, title = 'MFI Bar Colors', color = rsiMFIColor, transp = 75)

Global=input(title="Use Global trend?", defval=true, type=input.bool,  group="Trend Settings")
regimeFilter_frame=input(title="Global trend timeframe", defval="5", options=['D','60','5'],  group="Trend Settings")
regimeFilter_length=input(title="Global trend length", defval=1700, type=input.integer,  group="Trend Settings")
localFilter_length=input(title="Local trend filter length", defval=20, type=input.integer,  group="Trend Settings")
localFilter_frame=input(title="Local trend filter timeframe", defval="60", options=['D','60', '5'],  group="Trend Settings")

Div_1=input(title="Only divergencies for long", defval=true, type=input.bool,  group="Trend Settings")
Div_2=input(title="Only divergencies for short", defval=true, type=input.bool,  group="Trend Settings")

sommi_diamond_on=input(title="Sommi diamond alerts", defval=false, type=input.bool,  group="Trend Settings")

Cancel_all=input(title="Cancel all positions if price crosses local sma? (yellow line)", defval=false, type=input.bool,  group="Trend Settings")

a_1=input(title="TP long", defval=0.95,step=0.5, type=input.float,  group="TP/SL Settings")

a_1_div=input(title="TP long div", defval=0.95,step=0.5, type=input.float,  group="TP/SL Settings")

a_2=input(title="TP short", defval=0.95,step=1, type=input.float,  group="TP/SL Settings")

b_1=input(title="SL long", defval=5,step=0.1, type=input.float,  group="TP/SL Settings")
b_2=input(title="SL short", defval=5,step=0.1, type=input.float,  group="TP/SL Settings")

RSI_filter_checkbox = input(title="RSI filter ON", defval=false, type=input.bool,  group="Trend Settings")
Price_filter_checkbox=input(title="Price filter ON", defval=false, type=input.bool,  group="Trend Settings")
Price_filter_1_long=input(title="Long Price filter from", defval=1000, type=input.integer,  group="Trend Settings")
Price_filter_2_long=input(title="Long Price filter to", defval=1200, type=input.integer,  group="Trend Settings")

Price_filter_1_short=input(title="Short Price filter from", defval=1000, type=input.integer,  group="Trend Settings")
Price_filter_2_short=input(title="Short Price filter to", defval=1200, type=input.integer,  group="Trend Settings")

Local_filter_checkbox=input(title="Use Local trend?", defval=true, type=input.bool,  group="Trend Settings")

slope_checkbox = input(title="Use Slope filter?", defval=false, type=input.bool,  group="Slope Settings")
slope_number_long = input(title="Slope number long", defval=-0.3,step=0.01, type=input.float,  group="Slope Settings")
slope_number_short = input(title="Slope number short", defval=0.16,step=0.01, type=input.float,  group="Slope Settings")
slope_period = input(title="Slope period", defval=300, type=input.integer,  group="Slope Settings")

long_on = input(title="Only long?", defval=true, type=input.bool,  group="Position Settings")
short_on = input(title="Only short?", defval=true, type=input.bool,  group="Position Settings")

volume_ETH_spot_checkbox = input(title="Volume filter?", defval=false, type=input.bool,  group="Volume Settings")
volume_ETH_spot_number_more = input(title="Volume no more than:", defval=3700, type=input.integer,  group="Volume Settings")
volume_ETH_spot_number_less = input(title="Volume no less than:", defval=600, type=input.integer,  group="Volume Settings")

limit_checkbox = input(title="Shift open position?", defval=false, type=input.bool,  group="Shift Settings")
limit_shift = input(title="How many % to shift?", defval=0.5,step=0.01, type=input.float,  group="Shift Settings")

cancel_in =  input(title="Cancel position in #bars?", defval=false, type=input.bool,  group="Cancel Settings")
cancel_in_num =  input(title="Number of bars", defval=96, type=input.integer,  group="Cancel Settings")
//Name of ticker
_str=tostring(syminfo.ticker)
_chars = str.split(_str, "")
int _len = array.size(_chars)
int _beg = max(0, _len - 4)
string[] _substr = array.new_string(0)
if _beg < _len
    _substr := array.slice(_chars, 0, _beg)
string _return = array.join(_substr, "")

//Hour sma
basis = security(syminfo.tickerid, localFilter_frame, ema(close, localFilter_length))
plot(basis, title="Local trend curve", color=color.yellow, style=plot.style_linebr)

//Trend calculation with EMA
f_sec(_market, _res, _exp) => security(_market, _res, _exp[barstate.isconfirmed ? 0 : 1])
ema = sma(close, regimeFilter_length) 
emaValue = f_sec("BTC_USDT:swap", regimeFilter_frame, ema)
marketPrice = f_sec("BTC_USDT:swap", regimeFilter_frame, close)
regimeFilter = Global?(marketPrice > emaValue or marketPrice[1] > emaValue[1]):true
reverse_regime=Global?(marketPrice < emaValue or marketPrice[1] < emaValue[1]):true
bgcolor(Global?regimeFilter ? color.green : color.red:color.yellow)

//Local trend
regimeFilter_local = Local_filter_checkbox ? close > basis: true //or close[1] > basis[1]
reverse_regime_local = Local_filter_checkbox ? close < basis: true //or close[1] < basis[1]

//RSI filter
up = rma(max(change(close), 0), 14)
down = rma(-min(change(close), 0), 14)
rsi_ = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiMA = ema(rsi_,12)

//local incline

sma =security(syminfo.tickerid, '60', ema(close, 15))
slope = (sma - sma[slope_period]) / slope_period
slope_filter_long = slope_checkbox? slope > slope_number_long : true
slope_filter_short = slope_checkbox? slope < slope_number_short : true


var long_check = true
var short_check = true
if RSI_filter_checkbox
    long_check:= rsiMA<40
    short_check:= rsiMA>60
//
validlow  =  Div_1 ? buySignalDiv or wtGoldBuy  :  buySignal or buySignalDiv or wtGoldBuy 
validhigh =   Div_2 ? sellSignalDiv  :  sellSignal or sellSignalDiv

//check volume of ETHUSDT
volume_ETH_spot = volume
volume_ETH_spot_filter = volume_ETH_spot_checkbox? volume_ETH_spot < volume_ETH_spot_number_more and volume_ETH_spot > volume_ETH_spot_number_less : true

// Check if we have confirmation for our setup
var Price_long = true
if Price_filter_checkbox
    Price_long:=close>Price_filter_1_long and close<Price_filter_2_long

var Price_short = true
if Price_filter_checkbox
    Price_short:=close>Price_filter_1_short and close<Price_filter_2_short


validlong = sommi_diamond_on  ? sommiBullishDiamond and strategy.position_size == 0 and barstate.isconfirmed and regimeFilter_local and regimeFilter  :  validlow and strategy.position_size == 0 and barstate.isconfirmed and regimeFilter_local and Price_long and long_check and slope_filter_long and volume_ETH_spot_filter
validshort = sommi_diamond_on ? sommiBearishDiamond and strategy.position_size == 0 and barstate.isconfirmed and reverse_regime_local and reverse_regime  :  validhigh and strategy.position_size == 0 and barstate.isconfirmed and reverse_regime_local and Price_short and short_check and slope_filter_short and volume_ETH_spot_filter


// Save trade stop & target & position size if a valid setup is detected
var tradeStopPrice = 0.0
var tradeTargetPrice = 0.0
var TP=0.0
var limit_price=0.0
//Detect valid long setups & trigger alert
if validlong 
    if buySignalDiv or wtGoldBuy
        limit_price:=limit_checkbox? close*(1-limit_shift*0.01) : close
        tradeStopPrice :=  limit_price*(1-b_1*0.01)
        tradeTargetPrice := limit_price*(1+a_1_div*0.01)
        TP:= a_1_div
    
    else
        limit_price:=limit_checkbox? close*(1-limit_shift*0.01) : close
        tradeStopPrice :=  limit_price*(1-b_1*0.01)
        tradeTargetPrice := limit_price*(1+a_1*0.01)
        TP:= a_1

// if validlong 
//     if buySignalDiv or wtGoldBuy
//         limit_price:=close 
//         tradeStopPrice :=  limit_price*(1-b_1*0.01)
//         tradeTargetPrice := limit_price*(1+a_1_div*0.01)
//         TP:= a_1_div
    
//     else
//         limit_price:=close
//         tradeStopPrice :=  limit_price*(1-b_1*0.01)
//         tradeTargetPrice := limit_price*(1+a_1*0.01)
//         TP:= a_1
// Detect valid short setups & trigger alert
if validshort 
    limit_price:=limit_checkbox? close*(1+limit_shift*0.01) : close
    tradeStopPrice :=  limit_price*(1+b_2*0.01)
    tradeTargetPrice  := limit_price*(1-a_2*0.01)
    TP:= a_2

// if validshort 
//     limit_price:= close
//     tradeStopPrice :=  limit_price*(1+b_2*0.01)
//     tradeTargetPrice  := limit_price*(1-a_2*0.01)
//     TP:= a_2

if cancel_in and barssince(validlong) == cancel_in_num or barssince(validshort) == cancel_in_num
    strategy.cancel_all()
if long_on 
    strategy.entry (id="Long", long=strategy.long, limit=limit_price, when=validlong, comment='{\n'    + '  "name": "",\n'    + '  "secret": "",\n'    + '  "side": "buy",\n'    + '  "symbol": '+'"'+_return+'"'+',\n'    + '  "positionSide": "long"\n'    + '}')
if short_on
    strategy.entry (id="Short", long=strategy.short, limit=limit_price, when=validshort,comment='{\n'    + '  "name": "",\n'    + '  "secret": "",\n'    + '  "side": "sell",\n'    + '  "symbol": '+'"'+_return+'"'+',\n'    + '  "positionSide": "short",\n'    + '  "sl": {\n'    + '    "enabled": true\n'    + '  }\n'    + '}')
//    condition:=true
// if Cancel_all and strategy.position_size > 0 and (reverse_regime_local or reverse_regime)
//     strategy.close_all(when=strategy.position_size != 0, comment='{\n'     + '  "name": "",\n'     + '  "secret": "",\n'     + '  "side": "sell",\n'     + '  "symbol": '+'"'+_return+'"'+',\n'     + '  "positionSide": "flat"\n'     + '}')




if Cancel_all and strategy.position_size > 0 and reverse_regime_local
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "sell",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

if Cancel_all and strategy.position_size < 0 and regimeFilter_local
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "buy",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')
     
if cancel_in and strategy.position_size > 0 and barssince(validlong) > cancel_in_num
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "sell",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

if cancel_in and strategy.position_size < 0 and barssince(validshort) > cancel_in_num
    strategy.close_all(when=strategy.position_size != 0, comment='{\n'
     + '  "name": "",\n'
     + '  "secret": "",\n'
     + '  "side": "buy",\n'
     + '  "symbol": '+'"'+_return+'"'+',\n'
     + '  "positionSide": "flat"\n'
     + '}')

// Exit trades whenever our stop or target is hit
strategy.exit(id="Long Exit", from_entry="Long", limit=tradeTargetPrice, stop=tradeStopPrice, when=strategy.position_size > 0)
strategy.exit(id="Short Exit", from_entry="Short", limit=tradeTargetPrice,stop=tradeStopPrice, when=strategy.position_size < 0)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-12-26. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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