[beta-testing] multi timeframe support for automatic trading, ideas are welcome!

Nicolas · Mon, 19 Mar 2018 15:27:01 +0000

It’s been a week since I tested, as a consultant, the new multi-timeframe features coming soon for ProBacktest / ProOrder. I admit to being really pleasantly surprised by the capabilities of this long-awaited feature. Of course, I came across some small questions about its operation, which could be due to its unfinalized version or to my misinterpretation of its behavior with respect to various scenarios. Because yes, indeed, to use several temporal dimensions require an intellectual gymnastics which can sometimes cause trouble in the developments. In short, we will have to deal with it, manage both the information of indicator data in higher timeframes, which have sometimes not yet been frozen by the closing of a candle and the management of our orders in consequence, which are managed by the Close the timeframe “default”, as is the case for example with the screeners. Same as ProScreener, this is the TIMEFRAME statement that will now be usable for automatic trading. So far, I made various tests, I will show you how it goes (not so hard to understand for our fellow coders around here 🙂 ). This is what a multitimeframe strategy code looks a like: [crayon-5b6ab8ffd8f94649362271/] This basic strategy uses: A Simple Moving Average 100 periods from the 1 hour timeframe (at Close) Smoothed Heikin Ashi from a 15 minutes timeframe (in real time) Stochastic of the default timeframe (at Close) Takeprofit/Stoploss values from an ATR calculated in the 15 minutes TF Trading decisions and orders management in the default timeframe, which is the 5 minutes in this example The GRAPH instruction is your new friend! 🙂 If you are interested, I will be able to test some codes that you want to post, or to share ideas that I can code myself. This will allow me to familiarize myself with the use of this new tool, but also why not, hunt for bugs, testing as many scenarios as possible. July 25th EDIT: the MTF functionalities are now available through IG and PRT sponsored for demo accounts. A short video made by PRT about the new engine and the MTF capabilities: I also made a blog post to explain what you can expect and what you can now do with MTF: First approach to multi timeframe trading with ProRealTime August 8th EDIT: documentation is updated, see here: TIMEFRAME (ProBacktest / ProOrder)

This topic has 287 replies, 47 voices, and was last updated 4 years ago by Brianoshea.

Tagged: mtf, multitimeframe

Viewing 15 posts - 211 through 225 (of 288 total)

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10/09/2018 at 9:58 PM #82403

GraHal

O-jay8 wrote:

I tried to duplicate Vonasis RSI MTF algo.

I have just realised that I need to thank you @O-jay8 for the code for which I posted results and when I said …

GraHal wrote:

But they look good trades!

I can see now that you wrote the code O-jay8 (Vonasi did not share his code).

Many Thanks
GraHal

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10/10/2018 at 4:48 AM #82412

robertogozzi

Recently (within a couple of weeks), I have experienced several strategies stopping nighttime due to unknown errors, but they ALL are MTF strategies launched on DAX from 1-minute or 15-second TFs and referencing other higher TFs.

It’s not always the same strategy.

Setting custom trading hours didn’t help.

Has anyone experienced similar problems dealing with MTF or DAX?

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10/10/2018 at 7:07 AM #82418

Vonasi

GraHal wrote:

I can see now that you wrote the code O-jay8 (Vonasi did not share his code).

As you possibly already know I am not big on giving away complete fish. I prefer handing out fishing rods and the odd hook and line and some tips on how to fish rather than giving away whole fish.

I have now had two minutes to import O-Jay8’s code and compare it with mine. It was a very interesting thing to do to see how someone else goes about attacking the same idea. The codes are quite different!

I use a much simpler long term trend filter and as per all my codes I do not use stop loss or take profit levels – I sell when conditions are met. I also use a totally different RSI setting. I also do not use any time filter. Both strategies are profitable over the back test period so neither is right or wrong or better than the other – forward testing will tell us whether either of them are any good. I will put a note in my calender to re-test both strategies in a months time I think.

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O-jay8

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10/10/2018 at 12:09 PM #82450

O-jay8

Hi
@Grahal, you are welcome. I have not a big problem to share a strategy code mainly as I am still a novice and hope somebody is able to improve my code.
My codes are usually just bits and pieces from other strategies, I have seen here in the forum. I still have so much to learn.
My overall picture what is even possible is still very limited.

@ Vonasi, I understand that you dont want to share a complete strategy especially if you invested a lot of time and effort in it. I am already thankful for your tips and ideas.
i.e. your MTF RSI strategy, which I tried to replicate in my own way.
Often I dont even know where to start (initial strategy) so your idea with the MTF RSI was a good task for me to see whether I can get somehow similar results.

I do like MTF strategies a lot and it opens up so many possibilities. Unfortunately I dont have so much time as I try to code more or less in my spare time.

Where do you guys get your ideas for strategies?
Personally it would be nice if we could share more ideas. Unfortunately I lack imagination.

I tried to code stochastic overbought/oversold for MTF for forex pairs as well. (4h,1h,30m and 15 min)
I would say it was medium successful but I dont feel really confident about the future success rate in live but lets see. (attached the picture)

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10/10/2018 at 3:18 PM #82474

Vonasi

O-jay8 wrote:

Where do you guys get your ideas for strategies? Personally it would be nice if we could share more ideas. Unfortunately I lack imagination.

A lot of my ideas come from statistical/probability studies of price action or price action along with one indicator value. I’m not interested in complicated strategies or strategies with masses of indicators. If you look at my library posts you will see that a lot of them are more analysis tools than true indicators. It is from analysis that ideas blossom!

I enjoy writing my own indicators and sometimes spot something that can be used from these. For example the Mean Reversal Equity Curve Indicator that I posted recently has turned out to give some very positive filtering results – but I still need a few months of forward testing to be certain of it – if only PRT/IG would fix the end of day and end of week live testing problem!

Sometimes I will read something online or in a magazine that I had not thought of testing. 99% of the time after testing and analysing I dispose of the idea but 1% of the time there is a little gem that can be used.

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Bel,

Jan

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10/15/2018 at 11:30 AM #82775

Nicolas

Jan Wind wrote:

I receive complete different trade results varying the code at Time Frame of 15 minutes. I am using the 15 minutes graph, which is the lowest timeframe for my testing I would expect the code behind Time Frame, //update on close// and //default// used in the lowest timeframe to give exactly the same trading results. Why NOT is for me a question. timeframe(15 minutes,updateonclose) gives a much higher trade result as timeframe(15 minutes, default)

Problem spotted and identified, should be fixed in a near update.

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Jan,

robertogozzi

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10/16/2018 at 8:35 PM #82926

Jan

Nicolas,

” Problem spotted and identified, should be fixed in a near update. ”

In the meanwhile, what to use for the lowest timeframe ( in my case 15 minutes timeframe) ==> (Timeframe 15 minutes, default) or (Timeframe 15 minutes, updateonclose) ?

Maybe I should test it myself in a live situation, but do you know what the trading algoritme in real live trading will follow when I would use (Timeframe 15 minutes, updateonclose) with a live trading time frame of 15 minutes ? Would it give the higher results as backtested or will it give the lower results as backtested with (Timeframe 15 minutes, default) ?

Thanks for the answer.

Kind regards, Jan

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10/17/2018 at 8:03 AM #82935

Vonasi

Jan Wind wrote:

Maybe I should test it myself in a live situation

I would test it in live demo only. MTF is still only in beta testing for exactly this reason so risking real money on it would be a bit like being a jet fighter test pilot – exciting but potentially very dangerous!

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10/17/2018 at 8:06 AM #82936

Nicolas

In the meanwhile, you should always use the below instruction for the lowest timeframe, which in this case is the “default”:

timeframe(default)

1	timeframe(default)

The lowest timeframe, the one on which the strategy is read and executed, will obviously always be read at the end of the bar, so specifying “updateonclose” or “default” doesn’t matter.

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11/01/2018 at 11:11 AM #83910

virtualg

would be possible use daily timeframe and a second time frame of 5 minutes?

How I cuold try my strategy?

thanks a lot

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11/01/2018 at 4:38 PM #83952

Nicolas

Yes, that’s possible, this is the purpose of the MTF functionnality. There is a simple and good example of a MTF strategy in this thread: https://www.prorealcode.com/topic/echelle-de-temps-multiples/#post-82039

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11/02/2018 at 9:24 AM #84031

BossofBBS

Mes salutations .

Comment adapter les indicateurs aux Cryptomonnaies qui n’ont pas d’ouverture ni de cloture ? lequel choisir Cloture , Ouverture , plus haut, plus bas , Typique , Pondéré,Médian ou Total ?

Merci par avance pour cette précision

Cordialement 🙂

———————————————————————————————————————————————————————–

edit: Veuillez utiliser l’anglais sur le forum anglais. Merci. Cependant, j’ai fait la traduction avec Google Transaltor:

My greetings

How to adapt the indicators to cryptocurrencies that have no opening or closing? Which to choose between Closing, Opening, Upper, Lower, Typical, Weighted, Median or Total?

Thanks in advance for this clarification

Sincerely 🙂

Roberto

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11/03/2018 at 11:42 AM #84081

Gianluca

Guys i am finding a problem today with the MTF, i have several strategies with Default time frame 4h and inside the code i use the 1h time frame to find some filters. Now i have 6 strategies live like this, but today when i try to work on the backtest and others PRT told me that the lower Timeframe is not a multiply of the higher, but thats is not true and specially how is possible that my strategies are working ?????????????

i will post the code as example:

// Pathfinder Trading System based on ProRealTime 10.3
// Reiner @ www.prorealcode.com
// Breakout system triggered by previous daily, weekly and monthly high/low crossings with smart position management


// ProOrder code parameter
DEFPARAM CUMULATEORDERS            = true   // cumulate orders if not turned off
DEFPARAM PRELOADBARS               = 10000

timeframe (1H)
MT = CALL "Main Trend"
FILTROL= MT>CLOSE
timeframe (default)
graph MT COLOURED (229, 43, 80)

// define intraday trading window
ONCE startTime                     = 90000  // start time of trading window in CET
ONCE endTime                       = 210000 // end time of trading window in CET

// define instrument signalline with help of multiple smoothed averages
ONCE periodFirstMA                 = 5     // 5 is center of gravity, do not change
ONCE periodSecondMA                = 10    // 10 is center of gravity, do not change
ONCE periodThirdMA                 = 3     // heartbeat of the instrument

// define filter parameter
ONCE periodLongMA                  = 150   // period lenght of the long moving average that works as filter
ONCE periodShortMA                 = 210    // period lenght of the short moving average that works as filter

// define money and position management parameter

// dynamic scaling of the chance/risk profile depending on account size
ONCE startRisk                     = 1//1  // start risk level e.g 0.25 - 25%, 0.5 - 50%, 0.75 - 75%, 1 - 100% and so on
ONCE maxRisk                       = 1     // max risk level e.g  1.5 - 150%
ONCE increaseRiskLevel             = 2000 // amount of profit from which the risk is to be increased
ONCE increaseRiskStep              = 1.5//1//1//1  // step by which the risk should be increased

// size calculation: size = positionSize * trendMultiplier * saisonalPatternMultiplier * scaleFactor
ONCE positionSize                  = 1     // default start size
ONCE trendMultiplier               = 2     // >1 with dynamic position sizing; 1 without
ONCE maxPositionSizePerTrade       = 500     // maximum size per trade
ONCE maxPositionSizeLong           = 500    // maximum size for long positions
ONCE maxPositionSizeShort          = 500    // maximum size for short positions

ONCE stopLossLong                  = 1.6//2.8  //in %
ONCE stopLossShort                 = 2.4//2.4  //in %
ONCE takeProfitLong                = 1.7//1    //in %
ONCE takeProfitShort               =0.8// 0.8  //in %
ONCE trailingStartLong             = 0.2  //in %
ONCE trailingStartShort            = 0.1  //in %
ONCE trailingStepLong              = 0.1  //in %
ONCE trailingStepShort             = 0.1  //in %

ONCE maxCandlesLongWithProfit      = 1//1//1    //take long profit latest after x candles
ONCE maxCandlesShortWithProfit     = 2//2    // take short profit latest after x candles
ONCE maxCandlesLongWithoutProfit   = 18    // limit long loss latest after x candles
ONCE maxCandlesShortWithoutProfit  = 25    // limit short loss latest after x candles

// define saisonal position multiplier for each month 1-15 / 16-31 (>0 - long / <0 - short / 0 no trade)
ONCE January1                      = 3
ONCE January2                      = 0
ONCE February1                     = 1
ONCE February2                     = 3
ONCE March1                        = 0
ONCE March2                        = 3
ONCE April1                        = 3
ONCE April2                        = 3
ONCE May1                          = 3
ONCE May2                          = 1
ONCE June1                         = 3
ONCE June2                         = 3
ONCE July1                         = 0
ONCE July2                         = 0
ONCE August1                       = 3
ONCE August2                       = 3
ONCE September1                    = 3
ONCE September2                    = 0
ONCE October1                      = 3
ONCE October2                      = 3
ONCE November1                     = 3
ONCE November2                     = 2
ONCE December1                     = 3
ONCE December2                     = 3

// calculate the scaling factor based on the parameter
scaleFactor = MIN(maxRisk, MAX(startRisk, ROUND(StrategyProfit / increaseRiskLevel) * increaseRiskStep))

// dynamic position sizing based on weekly performance
ONCE profitLastWeek = 0
IF DayOfWeek <> DayOfWeek[1] AND DayOfWeek = 1 THEN
IF StrategyProfit > profitLastWeek + 1  THEN
positionSize = MIN(trendMultiplier, positionSize + 1) // increase risk
ELSE
positionSize = MAX(1, positionSize - 1) // decrease risk
ENDIF
profitLastWeek = strategyProfit
ENDIF

// calculate daily high/low (include sunday values if available)
dailyHigh = DHigh(1)
dailyLow = DLow(1)
previousDailyHigh = DHigh(2)

// calculate weekly high, weekly low is a poor signal
If DayOfWeek < DayOfWeek[1] AND lastweekbarindex = 0 THEN
lastWeekBarIndex = BarIndex
ELSE
IF DayOfWeek < DayOfWeek[1] THEN
weeklyHigh = Highest[BarIndex - lastWeekBarIndex](dailyHigh)
lastWeekBarIndex = BarIndex
ENDIF
ENDIF

// calculate monthly high/low
IF Month <> Month[1] AND lastMonthBarIndex=0 THEN
lastMonthBarIndex=barindex
ELSIF Month <> Month[1] THEN
monthlyHigh = Highest[BarIndex - lastMonthBarIndex](dailyHigh)
monthlyLow = Lowest[BarIndex - lastMonthBarIndex](dailyLow)
lastMonthBarIndex = BarIndex
ENDIF

// calculate instrument signalline with multiple smoothed averages
firstMA = WilderAverage[periodFirstMA](close)
secondMA = TimeSeriesAverage[periodSecondMA](firstMA)
signalline = TimeSeriesAverage[periodThirdMA](secondMA)

// save position before trading window is open
IF Time < startTime THEN
startPositionLong = COUNTOFLONGSHARES
startPositionShort = COUNTOFSHORTSHARES
ENDIF

// trade only in defined trading window
IF Time >= startTime AND Time <= endTime THEN

// set saisonal multiplier
currentDayOfTheMonth = OpenDay
midOfMonth = 15
IF CurrentMonth = 1 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = January1
ELSE
saisonalPatternMultiplier = January2
ENDIF
ELSIF CurrentMonth = 2 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = February1
ELSE
saisonalPatternMultiplier = February2
ENDIF
ELSIF CurrentMonth = 3 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = March1
ELSE
saisonalPatternMultiplier = March2
ENDIF
ELSIF CurrentMonth = 4 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = April1
ELSE
saisonalPatternMultiplier = April2
ENDIF
ELSIF CurrentMonth = 5 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = May1
ELSE
saisonalPatternMultiplier = May2
ENDIF
ELSIF CurrentMonth = 6 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = June1
ELSE
saisonalPatternMultiplier = June2
ENDIF
ELSIF CurrentMonth = 7 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = July1
ELSE
saisonalPatternMultiplier = July2
ENDIF
ELSIF CurrentMonth = 8 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = August1
ELSE
saisonalPatternMultiplier = August2
ENDIF
ELSIF CurrentMonth = 9 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = September1
ELSE
saisonalPatternMultiplier = September2
ENDIF
ELSIF CurrentMonth = 10 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = October1
ELSE
saisonalPatternMultiplier = October2
ENDIF
ELSIF CurrentMonth = 11 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = November1
ELSE
saisonalPatternMultiplier = November2
ENDIF
ELSIF CurrentMonth = 12 THEN
IF currentDayOfTheMonth <= midOfMonth THEN
saisonalPatternMultiplier = December1
ELSE
saisonalPatternMultiplier = December2
ENDIF
ENDIF

// define trading filters
// 1. use fast and slow averages as filter because not every breakout is profitable
f1 = close > Average[periodLongMA](close)
f2 = close < Average[periodLongMA](close)
f3 = close > Average[periodShortMA](close)

// 2. check if position already reduced in trading window as additonal filter criteria
alreadyReducedLongPosition = COUNTOFLONGSHARES  < startPositionLong
alreadyReducedShortPosition = COUNTOFSHORTSHARES < startPositionShort

// long position conditions
l1 = signalline CROSSES OVER monthlyHigh
l2 = signalline CROSSES OVER weeklyHigh
l3 = signalline CROSSES OVER dailyHigh
l4 = signalline CROSSES OVER monthlyLow

// short position conditions
s1 = signalline CROSSES UNDER monthlyHigh
s2 = signalline CROSSES UNDER dailyLow
s3 = signalline CROSSES UNDER previousDailyHigh

// long entry with order cumulation
IF ( l1 OR l4 OR l2 OR (l3 AND f2) ) AND NOT alreadyReducedLongPosition THEN

// check saisonal booster setup and max position size
IF saisonalPatternMultiplier > 0 THEN
numberContracts = MAX(1, MIN(maxPositionSizePerTrade, positionSize * saisonalPatternMultiplier) * scaleFactor)
IF (COUNTOFPOSITION + numberContracts) <= maxPositionSizeLong * scaleFactor THEN
IF SHORTONMARKET THEN
EXITSHORT AT MARKET
ENDIF
IF FILTROL THEN
BUY numberContracts CONTRACT AT MARKET
ENDIF
ENDIF
ELSIF saisonalPatternMultiplier <> 0 THEN
numberContracts = MAX(1, MIN(maxPositionSizePerTrade, positionSize) * scaleFactor)
IF (COUNTOFPOSITION + numberContracts) <= maxPositionSizeLong * scaleFactor THEN
IF SHORTONMARKET THEN
EXITSHORT AT MARKET
ENDIF
BUY numberContracts CONTRACT AT MARKET
ENDIF
ENDIF

stopLoss = stopLossLong
takeProfit = takeProfitLong

ENDIF

// short entry with order cumulation
IF ( (s1 AND f3) OR (s2 AND f1) OR (s3 AND f3) ) AND NOT alreadyReducedShortPosition THEN

// check saisonal booster setup and max position size
IF saisonalPatternMultiplier < 0 THEN
numberContracts = MAX(1, MIN(maxPositionSizePerTrade, positionSize * ABS(saisonalPatternMultiplier)) * scaleFactor)
IF (ABS(COUNTOFPOSITION) + numberContracts) <= maxPositionSizeShort * scaleFactor THEN
IF LONGONMARKET THEN
SELL AT MARKET
ENDIF
SELLSHORT numberContracts CONTRACT AT MARKET
ENDIF
ELSIF saisonalPatternMultiplier <> 0 THEN
numberContracts = MAX(1, MIN(maxPositionSizePerTrade, positionSize) * scaleFactor)
IF (ABS(COUNTOFPOSITION) + numberContracts) <= maxPositionSizeShort * scaleFactor THEN
IF LONGONMARKET THEN
SELL AT MARKET
ENDIF
SELLSHORT numberContracts CONTRACT AT MARKET
ENDIF
ENDIF

stopLoss = stopLossShort
takeProfit = takeProfitShort

ENDIF
// superordinate stop and take profit
SET STOP %LOSS stopLoss
SET TARGET %PROFIT takeProfit

// stop and profit management
posProfit = (((close - positionprice) * pointvalue) * countofposition) / pipsize
numberCandles = (BarIndex - TradeIndex)

m1 = posProfit > 0 AND numberCandles >= maxCandlesLongWithProfit
m2 = posProfit > 0 AND numberCandles >= maxCandlesShortWithProfit
m3 = posProfit < 0 AND numberCandles >= maxCandlesLongWithoutProfit
m4 = posProfit < 0 AND numberCandles >= maxCandlesShortWithoutProfit

// take profit after max candles
IF LONGONMARKET AND (m1 OR m3) THEN
SELL AT MARKET
ENDIF
IF SHORTONMARKET AND (m2 OR m4) THEN
EXITSHORT AT MARKET
ENDIF

// trailing stop function (convert % to pips)
trailingStartLongInPoints = tradeprice(1) * trailingStartLong / 100
trailingStartShortInPoints = tradeprice(1) * trailingStartShort / 100
trailingStepLongInPoints = tradeprice(1) * trailingStepLong / 100
trailingStepShortInPoints = tradeprice(1) * trailingStepShort / 100

// reset the stoploss value
IF NOT ONMARKET THEN
newSL = 0
ENDIF


// manage long positions
IF LONGONMARKET THEN
// first move (breakeven)
IF newSL = 0 AND close - tradeprice(1) >= trailingStartLongInPoints * pipsize THEN
newSL = tradeprice(1) + trailingStepLongInPoints * pipsize
stopLoss = stopLossLong * 0.1
takeProfit = takeProfitLong * 2
ENDIF
// next moves
IF newSL > 0 AND close - newSL >= trailingStepLongInPoints * pipsize THEN
newSL = newSL + trailingStepLongInPoints * pipsize
ENDIF
ENDIF

// manage short positions
IF SHORTONMARKET THEN
// first move (breakeven)
IF newSL = 0 AND tradeprice(1) - close >= trailingStartShortInPoints * pipsize THEN
newSL = tradeprice(1) - trailingStepShortInPoints * pipsize
ENDIF
// next moves
IF newSL > 0 AND newSL - close >= trailingStepShortInPoints * pipsize THEN
newSL = newSL - trailingStepShortInPoints * pipsize
ENDIF
ENDIF

// stop order to exit the positions
IF newSL > 0 THEN
IF LONGONMARKET THEN
SELL AT newSL STOP
ENDIF
IF SHORTONMARKET THEN
EXITSHORT AT newSL STOP
ENDIF
ENDIF


ENDIF

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// Pathfinder Trading System based on ProRealTime 10.3

// Reiner @ www.prorealcode.com

// Breakout system triggered by previous daily, weekly and monthly high/low crossings with smart position management

// ProOrder code parameter

DEFPARAM CUMULATEORDERS = true // cumulate orders if not turned off

DEFPARAM PRELOADBARS = 10000

timeframe (1H)

MT = CALL "Main Trend"

FILTROL= MT>CLOSE

timeframe (default)

graph MT COLOURED (229, 43, 80)

// define intraday trading window

ONCE startTime = 90000 // start time of trading window in CET

ONCE endTime = 210000 // end time of trading window in CET

// define instrument signalline with help of multiple smoothed averages

ONCE periodFirstMA = 5 // 5 is center of gravity, do not change

ONCE periodSecondMA = 10 // 10 is center of gravity, do not change

ONCE periodThirdMA = 3 // heartbeat of the instrument

// define filter parameter

ONCE periodLongMA = 150 // period lenght of the long moving average that works as filter

ONCE periodShortMA = 210 // period lenght of the short moving average that works as filter

// define money and position management parameter

// dynamic scaling of the chance/risk profile depending on account size

ONCE startRisk = 1//1 // start risk level e.g 0.25 - 25%, 0.5 - 50%, 0.75 - 75%, 1 - 100% and so on

ONCE maxRisk = 1 // max risk level e.g 1.5 - 150%

ONCE increaseRiskLevel = 2000 // amount of profit from which the risk is to be increased

ONCE increaseRiskStep = 1.5//1//1//1 // step by which the risk should be increased

// size calculation: size = positionSize * trendMultiplier * saisonalPatternMultiplier * scaleFactor

ONCE positionSize = 1 // default start size

ONCE trendMultiplier = 2 // >1 with dynamic position sizing; 1 without

ONCE maxPositionSizePerTrade = 500 // maximum size per trade

ONCE maxPositionSizeLong = 500 // maximum size for long positions

ONCE maxPositionSizeShort = 500 // maximum size for short positions

ONCE stopLossLong = 1.6//2.8 //in %

ONCE stopLossShort = 2.4//2.4 //in %

ONCE takeProfitLong = 1.7//1 //in %

ONCE takeProfitShort =0.8// 0.8 //in %

ONCE trailingStartLong = 0.2 //in %

ONCE trailingStartShort = 0.1 //in %

ONCE trailingStepLong = 0.1 //in %

ONCE trailingStepShort = 0.1 //in %

ONCE maxCandlesLongWithProfit = 1//1//1 //take long profit latest after x candles

ONCE maxCandlesShortWithProfit = 2//2 // take short profit latest after x candles

ONCE maxCandlesLongWithoutProfit = 18 // limit long loss latest after x candles

ONCE maxCandlesShortWithoutProfit = 25 // limit short loss latest after x candles

// define saisonal position multiplier for each month 1-15 / 16-31 (>0 - long / <0 - short / 0 no trade)

ONCE January1 = 3

ONCE January2 = 0

ONCE February1 = 1

ONCE February2 = 3

ONCE March1 = 0

ONCE March2 = 3

ONCE April1 = 3

ONCE April2 = 3

ONCE May1 = 3

ONCE May2 = 1

ONCE June1 = 3

ONCE June2 = 3

ONCE July1 = 0

ONCE July2 = 0

ONCE August1 = 3

ONCE August2 = 3

ONCE September1 = 3

ONCE September2 = 0

ONCE October1 = 3

ONCE October2 = 3

ONCE November1 = 3

ONCE November2 = 2

ONCE December1 = 3

ONCE December2 = 3

// calculate the scaling factor based on the parameter

scaleFactor = MIN(maxRisk, MAX(startRisk, ROUND(StrategyProfit / increaseRiskLevel) * increaseRiskStep))

// dynamic position sizing based on weekly performance

ONCE profitLastWeek = 0

IF DayOfWeek <> DayOfWeek[1] AND DayOfWeek = 1 THEN

IF StrategyProfit > profitLastWeek + 1 THEN

positionSize = MIN(trendMultiplier, positionSize + 1) // increase risk

ELSE

positionSize = MAX(1, positionSize - 1) // decrease risk

ENDIF

profitLastWeek = strategyProfit

ENDIF

// calculate daily high/low (include sunday values if available)

dailyHigh = DHigh(1)

dailyLow = DLow(1)

previousDailyHigh = DHigh(2)

// calculate weekly high, weekly low is a poor signal

If DayOfWeek < DayOfWeek[1] AND lastweekbarindex = 0 THEN

lastWeekBarIndex = BarIndex

ELSE

IF DayOfWeek < DayOfWeek[1] THEN

weeklyHigh = Highest[BarIndex - lastWeekBarIndex](dailyHigh)

lastWeekBarIndex = BarIndex

ENDIF

// calculate monthly high/low

IF Month <> Month[1] AND lastMonthBarIndex=0 THEN

lastMonthBarIndex=barindex

ELSIF Month <> Month[1] THEN

monthlyHigh = Highest[BarIndex - lastMonthBarIndex](dailyHigh)

monthlyLow = Lowest[BarIndex - lastMonthBarIndex](dailyLow)

lastMonthBarIndex = BarIndex

ENDIF

// calculate instrument signalline with multiple smoothed averages

firstMA = WilderAverage[periodFirstMA](close)

secondMA = TimeSeriesAverage[periodSecondMA](firstMA)

signalline = TimeSeriesAverage[periodThirdMA](secondMA)

// save position before trading window is open

IF Time < startTime THEN

startPositionLong = COUNTOFLONGSHARES

startPositionShort = COUNTOFSHORTSHARES

ENDIF

// trade only in defined trading window

IF Time >= startTime AND Time <= endTime THEN

// set saisonal multiplier

currentDayOfTheMonth = OpenDay

midOfMonth = 15

IF CurrentMonth = 1 THEN