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Articles by Lorentzos Roussos
Скачать бесплатно библиотеку 'Cosine distance and cosine similarity' от 'LoRio' для MetaTrader 5 в MQL5 Code Base, 2025.12.30
OBJ_RECTANGLE_LABEL.mq5 — Скрипт для создания и управления графическим объектом "Прямоугольная метка" на графике Скрипт демонстрирует создание графического объекта "Прямоугольная метка" (OBJ_RECTANGLE_LABEL) на текущем графике MetaTrader 5 с заданными параметрами: имя, координаты (в пикселях относительно выбранного угла окна графика), размеры, цвет фона, тип и стиль границы, цвет и толщина рамки, режим отображения (передний/задний план), выделяемость, скрытие и приоритет.
Скачать бесплатно эксперт 'Download all ticks of a symbol's history' от 'LoRio' для MetaTrader 5 в MQL5 Code Base, 2025.06.18
Смотри, как бесплатно скачать роботов Ищи нас в Telegram! Ставь лайки и следи за новостями Интересный скрипт? Поставь на него ссылку - пусть другие тоже оценят Понравился скрипт? Оцени его работу в терминале MetaTrader 5 Просмотров: 15 Рейтинг: (4) Опубликован: 2025.06.18 12:06 Нужен робот или индикатор на основе этого кода?
Скачать бесплатно индикатор 'Fibonacci ZigZag' от 'LoRio' для MetaTrader 5 в MQL5 Code Base, 2025.06.14
Смотри, как бесплатно скачать роботов Ищи нас в Twitter! Ставь лайки и следи за новостями Интересный скрипт? Поставь на него ссылку - пусть другие тоже оценят Понравился скрипт? Оцени его работу в терминале MetaTrader 5 Просмотров: 7 Рейтинг: (5) Опубликован: 2025.06.14 11:57 Нужен робот или индикатор на основе этого кода?
Fibonacci sonar full overview
Thefibonaccisonar has an internal library of price action patterns gathered from 28 symbols and 7 timeframes. Each pattern is split to 2 sides. The before side and the after side. Fibonacci sonar uses the before side to recognize similar patterns. The most recent price action (at any moment) up to the open price of the newest bar is what is used as the before side for searching the library. The after side holds an aggregate of all activity each pattern has seen.
Similar Price Action Manual + instant demo download
For a symbol and timeframe if we take any region of it's price action we can compare it against every other region of the same symbol and timeframe. If the comparison is rapid enough we can pull estimates for what could happen in real time. We can then project those estimates unto our original selected region.
How Liquidity Pools work on Uniswap
Here is how the liquidity pools of uniswap work on chain : Assume we are on the ethereum chain . We will assume euro and usdollar are 2 memecoins for which we want to create a liquidity pool. Why ? Because it will be easier to draw parallels with forex pairs . So , we have 1 million EUR and 1 million USD , which are tokens on the ethereum chain . Ok ?
Mql Improvement Proposal 68 : Rating on chain
How to leverage crypto to revamp the mql5 community , and drive more traffic .(more traffic = more commissions) A.The blockchain : Pick an EVM chain with low fees : Avalanche Arbitrum Polygon Binance Smart Chain B.Deploy 3 token contracts ,2 with "minting for" functionality . one as a "reward". Token 1 , let's call it "Positive Activity" , it has a minting for function. Token 2 , let's call it "Negative Activity" , it has a minting for function too.
2D Transformation with built in eigenvector library , and coffee
Lets open up ms paint and draw a cluster . This is an upscale image of a 60x60 manually drawn bmp file This file will be fed into our code and the code will have to transform it so that the direction with the biggest variance sits on the x axis (if i understood things right). So , some preliminary stuff , open the file , resource it , read the pixels , turn them to samples. Our samples will look like this , we have one class , no fancy stuff.
MQL Improvement Proposal 05
On the products pages create a tab called "sets and models" On that page a vendor can upload (new or default) set files and also associate symbols with them. What changes from uploading them in the comments ? when a set file is uploaded (a new one) , and there's been 72hours+ since the last set file upload for that product , then all the buyers are notified via the system messages.
MQL Improvement Proposal 04 : Anti-scam moves
History of product price available as a graph at the bottom of the overview or accessible by a "Show Price History" button under the buy choices . Every price change by the vendor creates a new data point on the graph with a date and a price. It will help vendors who utilize fomo tactics to enhance sales. If it is also available in the stats side by side with sales it will help vendors gauge what their best price is. Something like this but the x axis gets an entry with every price change .
MQL5.com Improvement Proposal 03
The MQMGuard or the MetaQuotes Market Guard For each product category a vendor can publish , add an additional one that is the category +With MQMGuard.For example "Expert advisor +MQMGuard") What is the MQM Guard ? It is a "guarantee" that the product is lacking certain scam tricks and it is mostly what it claims to be. How does it work ? The vendor has to deposit an amount , for this example let's say $100 for a new product with the MQMGuard. The mql5.com commission for an MQMGuard product is 25%.
MQL5.com Improvement Proposal 02
A.Rating rewards ,destroy and improve Halt the drip of $ rewards for the rating points. The system that distributes rating points ,with or withoutProposal 01, would still be in place so you know what the distributed total would have been per week. That weekly amount (that you spend anyway already) is then distributed to the top 100 user rating increases of that week. Proportionally .
MQL5.com Improvement Proposal 01
Reinstate a semi-affiliate program in the form of rating point rewards. Each user has an id by default which they are shown. If inbound traffic (1ip) to the site from that "id" results in a sale of a product or a signal within 24hours (any product or signal , not the one in the url) then attribute an amount of rating points to the user. Users would be able to append the "id" in the urls that send traffic to mql5.com Why is it beneficial ?
Create DLL , simplest form example
Hi! First things first you need visual studio for this . Install it , start it up. Select the programming language Select the operating system Select Library Select Dynamic Link library , it will appear Click Next give it a name Click Create wait for the slow pc to create the project This is the first thing you may see , the explorer could be on the right in your setup .
Cyprus DST shifts from 2000 till 2028
If your broker is in Cyprus If your brokers server time is in Cyprus's Time Zone You can use the following structures to turn historical bar times or historical ticks to gmt time #property copyright "Source" #property link "https://www.mql5.com/en/blogs/post/753335" #property version "1.00" #define TSHIFT_BACK_TO_BASE_TIME -1 #define TSHIFT_DAYLIGHT_SAVINGS_TIME 1 int TimeYear(datetime _time){MqlDateTime mqt;TimeToStruct(_time,mqt);return(mqt.year);} class time_shift_moment{ public: datetime...
OpenCL :: Local Memory and Groups
We might be able to see it if we place a private int to the atomic call and add 1 to it . The khronos documentation states this for the atomic_inc() Read the 32-bit value (referred to as old ) stored at location pointed by p . Compute ( old + 1) and store result at location pointed by p . The function returns old . So it is telling us that if we place an integer to the left of the atomic call we will receive the old value of the local variable .
OpenCL :: Exploring the 1st dimension (part 3 : correct benchmark)
Read Part 1 Read Part 2 Run the test couple of times , we get the same execution time across many iterations that means something is wrong or we are getting cached responses.
OpenCL :: Exploring the 1st Dimension (incomplete series)
Hi. This test will deploy a one dimensional "work" space with the native mql5 OpenCL commands available . The task is to discover how to map local memory to work groups . Frist let's create a simple test and try and gauge what the GPU does , or , how the GPU splits the workload without any instructions if you will. I don't know if it means anything but that is what i'm trying to find out.
OpenCL :: Exploring the 1st Dimension (part2 the benchmark)
Read part 1 Okay so what we'll do here is that same as before but use a double type this time We change our kernel code to this : string kernel="__kernel void bench(__global double* _tangent," "int iterations){" "double sum=(double)0.0;" "double of=(double)_tangent[get_global_id(0)];" "for(int i=0;i<iterations;i++){" "sum+=((double)tanh(of-sum))/((double)iterations);" "}" "_tangent[get_global_id(0)]=sum;}"; We create a double array with its size matching the amount of our kernels and we are...
Your first - and mine - silly open cl program 😇
Hi there . First things first , watch the following video : Good , now , this is my first openCL program so there may be issues in terminology etc but the goal is to have the simplest example possible , not only because its helpful but also because that's all i can do for now 😇. Let's go As you saw in the video we need to create a context with a device and to that context we'll feed our function (kernel) If you know C you are in luck , i don't keep that in mind.
Simple neural network autoencoder with candlesticks and 🍺
Warning : this is my first attempt at an autoencoder i've seen a video or 2 on autoencoders so i might butcher this With that out of the way let's pop a beer open and grab the keyboard. What are we building : We will snatch the world's silliest simplest weakest most bare-bone thinnest neural net ever , the one we built here, and we will attempt this : wtf is that , you ask .
The simplest XOR gate neural net for mql5 🍺 part2
Read Part1 of This Here Okay . What do we have : nodes , layers and the net and the feed forward functions . So what does that mean in the spectrum of "a problem" ? It means that if our problem has parameters / features we can send them in via the input layer and get a forecast or prediction from the network . Now the problem is the network is guessing because its at a random state. What do we need to do to teach it ?
The simplest XOR gate neural net for mql5 🍺 part1
And that is it , the feed forward part is complete . How about we also give it a function that returns the result of a specific output node ? yes . What is an output node ? a node on the last layer ! so the function will look like this : double get_output(int ix){ return(layers[ArraySize(layers)-1].nodes[ix].output); } go to the last layer , and return the output value of that node , simple right ? Ok ,now , take a big break because we'll dive to the hardest part of it all ... Ready ?
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