Lorentzos Roussos / Profil
- Information
10+ Jahre
Erfahrung
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7
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452
Demoversionen
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214
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0
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💎 The simplest Neural Network Coding Guide : https://www.mql5.com/en/blogs/post/752324
💎 The simplest DLL for mql5 Coding Guide : https://www.mql5.com/en/blogs/post/753426
💎 Harmonic patterns scanner for MT5 : https://www.mql5.com/en/market/product/51212
💎 Similar price action candlestick patterns indicator for MT5 : https://www.mql5.com/en/market/product/133318
💎 Fibonacci Sonar indicator : https://www.mql5.com/en/market/product/133627
💎 Chart projection indicator : https://www.mql5.com/en/market/product/5569
💎 Youtube : https://www.youtube.com/@lorentzor1938

https://c.mql5.com/6/966/Similar_Price_Action_MQL4_Demo__1.ex4
💎 Similar price action MT5 free download for EURUSD :
https://c.mql5.com/6/966/Similar_Price_Action_MQL_Demo__1.ex5
💎 Similar price action basic showcase :
https://www.youtube.com/watch?v=Shzdwm_UUTo
☕️


Fibonacci-Sonar Das Fibonacci-Sonar verfügt über eine interne Bibliothek mit Preisaktionsmustern, die aus 28 Symbolen und 7 Zeitrahmen gesammelt wurden. Jedes Muster ist in zwei Seiten unterteilt: die Vorher- und die Nachherseite. Das Fibonacci-Sonar verwendet die Vorherseite, um ähnliche Muster zu erkennen. Die jüngste Preisaktion (zu jedem Zeitpunkt) bis zum Eröffnungspreis des neuesten Balkens wird als Vorherseite zum Durchsuchen der Bibliothek verwendet. Die Nachherseite enthält eine
Indikator für ähnliche Preisaktionen „Ähnliche Preisaktionen“ findet vergangene Sequenzen von Kerzenmustern, die einem von Ihnen ausgewählten Bereich des Charts so ähnlich wie möglich sind. Der Indikator führt eine Suche durch, die direkt vor der ersten Kerze des von Ihnen ausgewählten Preisaktionsbereichs beginnt und bis zum allerersten ältesten Balken des Charts reicht. Es gibt mehrere Kriterien zur Bewertung der Ähnlichkeit zwischen zwei Sequenzen: Sequenzen müssen identisch lang sein. Wenn
Indikator für ähnliche Preisaktionen „Ähnliche Preisaktionen“ findet vergangene Sequenzen von Kerzenmustern, die einem von Ihnen ausgewählten Bereich des Charts so ähnlich wie möglich sind. Der Indikator führt eine Suche durch, die direkt vor der ersten Kerze des von Ihnen ausgewählten Preisaktionsbereichs beginnt und bis zum allerersten ältesten Balken des Charts reicht. Es gibt mehrere Kriterien zur Bewertung der Ähnlichkeit zwischen zwei Sequenzen: Sequenzen müssen identisch lang sein. Wenn








Thread Swarm with leader and global variables , for 1 terminal

Brightness 14
Contrast 20
Red 91
Green 79
Blue 52
You are welcome
💚☕️








Weirdness , Trying to guess price action with a moving average and 4 deltas



I won't be able to answer you but you can imagine that it can't be terrible. On the other hand, here is how I see this mediocre tool: If I'm looking for a profitable strategy or out of simple curiosity I first test on time frames of 15 or 5 minutes. If the strategy works or my curiosity is satisfied I already consider it extraordinary compared to manual trading. Then if the stakes are worth it and the strategy can work in shorter UTs I will probably switch to MT5 or something else. You will therefore conclude that this has never happened to date. The ''RENKO style'' strategy was not a great success. Maybe there are errors on my part or other indicators to add. To have. I no longer have the exact reason for my disappointment with the coding of my strategy in RENKO equivalent but it didn't work like on paper. So whatever the quality of the data, it was not at fault or only partially. I did not have the availability to dig in and better exploit this robot and insist on the RENKO equivalent as a strategy but I will surely come back to it at the beginning of 2024 when I have more availability because on paper it had potential. I will contact you by message for the code.


Let's say you buy a pair , and it goes down (trade 1) VS buying a pair -> it arrives one _Point before your take profit level and then goes down (trade 2). Both those trades hit stop loss .
Now let's say you are optimizing this strategy . The more pointers toward an outcome you leave inside the "virtual environment" for the genetic algorithm the more the genetic algorithm will consider the outcome.I call this making the terrain more "walkable".
So , if you are formulating the reward yourself , and , the reward varies between -1.0 -> +1.0 , are these 2 trades equally bad ? Are they both -1 ? I mean if one day you make pizza and you burn it but the other day you make pizza you taste one piece and its good but your girlfriend steals it from you , breaks up with you and leaves (with the pizza) does that mean you will discard both pizza recipes and start over ?☕️




⚠️The average publication date is 9th December 2022
⚠️78% of products have at least one backtest screenshot
⚠️64% of products have a live signal
⚠️The average duration of the signals is 30 weeks
⚠️The average price is 972 $
⚠️64% of products will increase the price after some sales , or the price is a discount
⚠️Theres almost 61 reviews per product with 202 comments and 3170 demo downloads
⚠️36% is using keywords for ai , neural networks , intelligence gpt etc
⚠️You can get an idea of what the product is from the logo in 8% of cases , and from the title in 19%
Interesting observations :
There's products that have fresh live signals but were not published recently
There's an ea that uses chat gpt (which came out 2023) but showcases a backtest from 2019
There's an ea sporting a funded challenge certificate which links out to a different name than the sellers BUT that name appears to be his/hers employee . The employee also has an mql5.com account and has not posted a review on any of the products . Honorable mention . i got curious 😂😂😂🍻



