Auction Market Value Theory & Analytics Expert Advisor

With the Auction Market Value Theory & Analytics EA you could commerce in parallel 26 pairs.
This EA is comparatively distinctive, because it's succesful to "adjust to the market", this means:
- no optimization is required
- the an identical set of enter parameters is nice for all pairs
- you dont' wish to alter the set even when market circumstances change. The an identical set will, 원칙적으로, be okay "eternally"
이것 3 distinctive choices suggest that the EA should not be "manually tailor-made" to a specific pair in a specific timeframes, as a result of it often happens everytime you otpimize a pair in a earlier interval with the Method Tester. Having an outstanding backtest consequence everytime you use optimization is comparatively easy...nonetheless this does not recommend that the EA will perform within the an identical methodology ultimately, simply because market circumstances could also be very utterly completely different!
This EA is admittedly having fun with on one different stage...it adapts to the market variations and adapts to all the pairs with out altering the enter parameters!! In my prolonged experience I've certainly not seen such a attribute in an EA, did you?
그래서, how is it doable that this EA "understands the market"?
The EA doesn't use "widespread" 지표, in its place relies on a Theory, that's named Auction Market Value Theory & Analytics. 그래서, let me inform you a bit about this.
It is properly described proper right here:https://www.forexfactory.com/showthread.php?t=482744, and is an evolution of Market Profile Theory (see proper right here: https://www.forexfactory.com/showthr...528sources); it is primarily based in understanding the market mood, that is in a sentence "is the present worth faraway from the right price that the market has in ideas?"...it is not a day supplier or scalping tecnique, it is comparatively a spot methodology. Often positions are saved open for weeks.
Important to know is the thought of Overlay in a specific Timeframe, in various phrases it is an envelope of prices inside the remaining days, and helps understanding the place the price is and if the price is regular or not.
An Overlay is "Bracketing" when the worth stays in a channel, practically if the worth was "between brackets".
Once you've Overlays Bracketing in a number of timeframes, it implies that the worth is wandering within the an identical channel since many days...it's a very fascinating state of affairs, as prolonged stability accessible available in the market is usually an indication for a future breakout.
Proper right here is the place my EA trades, looking out for "too regular" circumstances particularly bracketing patterns and prepared for them to explode! Within the occasion that they do, the EA makes use of a very good tecnique for setting stoploss, take income and trailing stop.

You may not uncover any pip to set such values inside the EA, as a result of the EA understands the right values to set them. In case you run the EA, you'll word that the stoploss is on a regular basis hidden under a worth help, the an identical with trailing stop.

I understand that in the event you're not conscious of Overlay and Market Profile, this rationalization may appear a bit difficult, nonetheless I am obtainable to aim to make clear a bit additional, merely ship me a message.
Some hints:
- when testing, ONLY use M1 timeframe, it's a necessity for accuracy. If the testing is simply too gradual, it's best to use "open prices solely". You desire a minimal of 2 years of information with M1 and M30 timeframes.
- when working in a demo account, you could regulate the RATE parameter. That is the number of minutes for a refresh of all calculations, often I protect it at 5. Actually you may additionally regulate the lot dimension (recommend 0.6 lot with an preliminary steadiness 10000 EUR, if steadiness is far much less merely in the reduction of the lot in proportion, 예를 들어. steadiness 1000 EUR lot dimension 0.06).It is not wanted to change the other parameters, the EA has already an outstanding set, merely load the one inside the .zip.
About my examine outcomes:
I've been using the an identical set that is included inside the .zip, working a 15 months examine (in M1, preliminary steadiness 10000) on all 26 securityes; as a result of the EA is shopping for and promoting in parallel all 26 pairs, with a view to simulate the behaviour you will need to SUM the examine outcomes:

TOTAL Income 21020 EUR, 100 trades OK, 34 trades NOK
% win 74.63%
av. income 156.87
% income 210%
DD: often a pair has a DD beneath 10%, nonetheless you will need to bear in mind that often larger than on place are opened, so depend on a wonderful lower DD.
In one in every of many related picture, you'll uncover a graph that sums in time order all the examine outcomes. That is my biggest guess to predict future behaviour of the EA!

Some particulars additional:
the EA appears for circumstances the place there's bracketing every on a "shorter" Overlay (with NUMERO_BARRE 30 minutes dimension) and in "longer" Overlay (with MULTI*NUMERO_BARRE 30 min bars). Intimately, the EA appears (예를 들어. buy) for circumstances the place the upperlayer of shorter Overlay is lower than upperlayer of longer Overlay (comparable for promote). When Activitiy (see concept for definition) circumstances are fulfilled (see beneath) the EA will open a Digital Buy Order (it is not a market order!!) on the upperlimit of the longer Overlay(comparable for promote). The digital order opening is confirmed inside the EXPERT tab. 그 다음에, if the worth goes previous the Digital Order stage for at least NMIN minutes, an precise buy order is opened (comparable for promote). In a sentence, the EA appears for breakouts of the longer Overlay increased/lower limits. Throughout the following elements are described additional intimately OV calculation regular tips and EA behaviour.
1) 그만큼 "brick" peak, or step, used to calculate all Overlays is variable. Actually the step is identical because the 30 분 3 days widespread ATR, divided for a integer amount (STEP_REF in enter parameters). For instance if in a positive second ATR is 70 elements and the STEP_REF is 10, the step could be set at 7 elements. You might even see the present step in Expert tab, printed together with all completely different Train parameters of the 3 days Overlay.
2) The Expert tab prints every RATE minutes all the parameters of Train for securities in full bracketing state of affairs (means every longer Overlay and shorter Overlay are in bracketing). The Train is used to "fireside" a Digital stop, if bracketing circumstances apply. The enter parameter to set the Train threshold is REF_ATC1 (max price 5), and it refers again to the train calculated evaluating Overlay 3 날 (remaining) with Overlay 3 날 (GAP days previously, you could set this in enter settings)
3) In case you set UsaClose at true, an automatic OrderClose is distributed when worth is Better than Trailing Stage and Train is elevated than ACT_REF2.
4) Stop loss is automated, no need for any enter data. It'll be set, for a Buy, at Lower Value Area stage of ultimate Overlay 3 날, comparable for a Promote.
5) with a view to bear in mind the doable outcomes of volatility, it's best to use a much bigger stoploss. This moreover could be calculated robotically. Intimately, if step (automated calculation described above) is elevated than fraz_atr, the stop loss could be moved in proportion. 예를 들어, if in a positive second step is 15 and fraz_atr is identical as 10, the stop loss could be 1.5 events higher. If you do not want to maneuver the stop loss, merely use a very extreme price for fraz_atr (for instance 100).
6) when stop loss is moved as describe in stage 5), lot is lowered. 예를 들어, within the occasion you utilize a LOT 1, inside the occasion above lot could be lowered at 0.5. That's automated and dynamic, lot dimension could be utterly completely different for varied orders counting on volatility and the enter parameters you make the most of.
7) Take Income is calculated at fatt_tp events the stop loss width. For instance if in a positive second stop loss is calculated at 1500 elements and fatt_tp is 2.0, the Take Income could be set at 3000 elements.
8) Trailing stop begins when the worth is elevated than FTRAILING_STOP the Take income stage. Throughout the occasion above, if FTRAILING_STOP is 0.5, trailing will start at 1500 elements from worth. At this related stage, within the occasion you set UsaClose at true, automated Shut (train dependent) will start. If you do not want trailing stop, jus set FTRAILING_STOP elevated than 1 (e.g.2)
9) A Trailig Stop could be set at a stage elevated that FTRAILING_STEP offered that there is an Overlay 3 days in bracketing, and could be set on the Value Area prohibit. 즉, the stop loss wil be "protected" behind a sturdy help. It moreover implies that if there is not a Overlay 3 days bracketing, trailing stop shouldn't be going to be set. If this happens usually it means you could be nonetheless in improvement..that is good...nonetheless you could nonetheless ship an automatic Shut with UsaClose=true.
Actually you desire a extreme RATE to look at accurately every Shut and Trailing stop. In my precise account I am using RATE=5.
10) Usually there not a pleasing breackout, and worth merely begins wandering in a lateral methodology for a weeks... If the worth is lower than Trailing stage and higher than open worth, after GIORNI_ATTESA days it'll be closed. I think about that's comparatively good, however when you do not want this merely put a very extreme amount for GIORNI_ATTESA (예를 들어. 1000)
completely different enter settings:
에이) ore_wait_bracketing: number of hours in wait sooner than opening an order, after bracketing state of affairs begins (often set=0)
b) DIST: you could set an offset, in elements, to open a digital order elevated or lower than increased/lower prohibit of the longer Overlay.
c) Usa_Close: is that's false, no OrderClose can be utilized
d)MIN_TPO, MAX_GAP: parameters for Overlay calculation, no wish to alter
e) RATE: every value minutes all data are recalculated. I counsel to set it at 180 all through testing (the smaller, the extra extreme is effectivity) and at 5 in precise operation (the higher, the upper is accuracy)

Proper right here a sample of how the EA performs using the SAME set on utterly completely different securities:
http://fabiotest.ddns.web/eurusd_V53demo.htm
http://fabiotest.ddns.web/gbpusd_V53demo.htm
http://fabiotest.ddns.web/usdchf_V53demo.htm
http://fabiotest.ddns.web/usdcad_V53demo.htm
http://fabiotest.ddns.web/nzdjpy_V53demo.htm
http://fabiotest.ddns.web/audjpy_V53demo.htm
http://fabiotest.ddns.web/nzdchf.htm
http://fabiotest.ddns.web/audcad.htm
http://fabiotest.ddns.web/eurchf.htm
http://fabiotest.ddns.web/eurgbp.htm
http://fabiotest.ddns.web/gbpjpy.htm
http://fabiotest.ddns.web/nzdcad.htm
http://fabiotest.ddns.web/nzdchf.htm

Beneath I join a -zip with the EA, models, and detailed outcomes

I moreover join the overall outcomes of the testing on 26 pairs, merged with a spreadsheet...proper right here there is not a MT4 optimization, so the behaviour thus far is an environment friendly guess of what would possibly happen ultimately, don't you agree?

cheers