AllAverages v4.9 : One of the latest version of this indicator at the moment. Huge base of different modifications of moving averages, with multitimesframe function, sending signals to e-mail and push notifications. Author: IVAN ASTAFUROV
Heiken Ashi Smoothed : Heiken Ashi is a very well known indicator. One of the variations that is actually improving the indicator is the "smoothed" version. The logic behind the smoothed version is simple: Instead of using "raw" prices" for calculations, it's using smoothed/filtered/averaged prices
Check out the new article: Neural networks made easy (Part 75): Improving the performance of trajectory prediction models . The models we create are becoming larger and more complex. This increases the costs of not only their training as well as operation. However, the time required to make a
Check out the new article: Building A Candlestick Trend Constraint Model (Part 4): Customizing Display Style For Each Trend Wave . In this article, we will explore the capabilities of the powerful MQL5 language in drawing various indicator styles on Meta Trader 5. We will also look at scripts and
Discussing the article: "Neural networks made easy (Part 74): Trajectory prediction with adaptation"
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Check out the new article: Neural networks made easy (Part 74): Trajectory prediction with adaptation . This article introduces a fairly effective method of multi-agent trajectory forecasting, which is able to adapt to various environmental conditions. Building a trading strategy is inseparable from
Check out the new article: MQL5 Trading Toolkit (Part 1): Developing A Positions Management EX5 Library . Learn how to create a developer's toolkit for managing various position operations with MQL5. In this article, I will demonstrate how to create a library of functions (EX5) that will perform
Discussing the article: "Master MQL5 from beginner to pro (Part II): Basic data types and use of variable"
(18 1 2)
Check out the new article: Master MQL5 from beginner to pro (Part II): Basic data types and use of variable . This is a continuation of the series for beginners. In this article, we'll look at how to create constants and variables, write dates, colors, and other useful data. We will learn how to
Check out the new article: Balancing risk when trading multiple instruments simultaneously . This article will allow a beginner to write an implementation of a script from scratch for balancing risks when trading multiple instruments simultaneously. Besides, it may give experienced users new ideas
Discussing the article: "Brute force approach to patterns search (Part VI): Cyclic optimization"
(32 1 2 3 4)
Check out the new article: Brute force approach to patterns search (Part VI): Cyclic optimization . In this article I will show the first part of the improvements that allowed me not only to close the entire automation chain for MetaTrader 4 and 5 trading, but also to do something much more
Filtered averages: Filtered averages Author: Mladen Rakic
Harmonic AI Pattern : HarmonicEA is an Expert Advisor (EA) developed for MetaTrader 4 (MT4) that utilizes harmonic pattern recognition and RSI-based signals to identify potential trading opportunities in the forex market. The EA is designed to detect various bullish and bearish harmonic patterns
Intraday Channel Breakout : Indicator that is checking for intra-day channel values and breakouts of those channels. The time segment that is used for channel is specified by the parameters, and then it is used to check if the upper or lower limit is broken. It is strictly made to be used on
AllTheUpsTheresAlwaysDowns : This Expert Advisor (EA) is designed to automate trading with advanced entry and breakeven conditions. It places buy and sell orders based on moving averages and manages trades with customizable settings for lot sizes, stop loss, take profit, and breakeven conditions. It
Discussion of article "Take a few lessons from Prop Firms (Part 1) — An introduction"
(46 1 2 3 4 5)
New article Take a few lessons from Prop Firms (Part 1) — An introduction has been published: In this introductory article, I address a few of the lessons one can take from the challenge rules that proprietary trading firms implement. This is especially relevant for beginners and those who struggle
Trailing Stop Management Function : Filter orders based on the set magic number, execute the final stop loss management function, adjust the Stoploss and TrailingStop parameters, and place the Management function according to the structure of ea. It is recommended to place it under void OnTick()
Entropy : The indicator that demonstrates the power of price changes entropy. The entropy is the measure of the disorder of the system. The entropy is calculated using the Maximum Entropy Method . If we try to evaluate it according to its indicative attributes without paying much attention to its
GG-TrendBar:
This indicator shows you the trend on every timeframe simultaneously
Author: Gordon Gekko
Discussing the article: "Using optimization algorithms to configure EA parameters on the fly"
(24 1 2 3)
Check out the new article: Using optimization algorithms to configure EA parameters on the fly . The article discusses the practical aspects of using optimization algorithms to find the best EA parameters on the fly, as well as virtualization of trading operations and EA logic. The article can be
New article How to connect MetaTrader 5 to PostgreSQL has been published: This article describes four methods for connecting MQL5 code to a Postgres database and provides a step-by-step tutorial for setting up a development environment for one of them, a REST API, using the Windows Subsystem For
Lesson 9 Buy sell stop Order : This is a lesson on buying or selling with pending orders stop Author: Dao Thanh Tan
Discussing the article: "Neural networks made easy (Part 73): AutoBots for predicting price movements"
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Check out the new article: Neural networks made easy (Part 73): AutoBots for predicting price movements . We continue to discuss algorithms for training trajectory prediction models. In this article, we will get acquainted with a method called "AutoBots". Effectively predicting the movement of
Discussing the article: "Bill Williams Strategy with and without other Indicators and Predictions"
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Check out the new article: Bill Williams Strategy with and without other Indicators and Predictions . In this article, we will take a look to one the famous strategies of Bill Williams, and discuss it, and try to improve the strategy with other indicators and with predictions. Bill Williams has a
New article Understand and Efficiently use OpenCL API by Recreating built-in support as DLL on Linux (Part 2): OpenCL Simple DLL implementation has been published: Continued from the part 1 in the series, now we proceed to implement as a simple DLL then test with MetaTrader 5. This will prepare us
Check out the new article: Neural networks made easy (Part 72): Trajectory prediction in noisy environments . The quality of future state predictions plays an important role in the Goal-Conditioned Predictive Coding method, which we discussed in the previous article. In this article I want to
Code Block for "Trailing Stop" based on current market price. (Ask / Bid) : This code block loops through all opened position and do trailing based on Ask and Bid prices. Author: Hapu Arachchilage Tharindu Lakmal
Harmonic Pattern Finder V3: Indicator to display existent and emerging harmonic chart patterns. Author: Andre Enger
The colored volumes (English Version) : Colored volumes at the bottom of the chart Author: ROMAN KIVERIN
New article Building an Automatic News Trader has been published: This is the continuation of Another MQL5 OOP class article which showed you how to build a simple OO EA from scratch and gave you some tips on object-oriented programming. Today I am showing you the technical basics needed to develop
Basic Library to Create Volume Profiles : Basic library to create Volume Profiles on chart. Author: Yashar Seyyedin
New article Neural networks made easy (Part 28): Policy gradient algorithm has been published: We continue to study reinforcement learning methods. In the previous article, we got acquainted with the Deep Q-Learning method. In this method, the model is trained to predict the upcoming reward

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