Articles, Library comments - page 84

Check out the new article: Neural networks made easy (Part 57): Stochastic Marginal Actor-Critic (SMAC) . Here I will consider the fairly new Stochastic Marginal Actor-Critic (SMAC) algorithm, which allows building latent variable policies within the framework of entropy maximization. When building

PZ Progressive Trading Scripts: This set of scripts has been designed to scale-in your trades as price action runs in your favor. This will maximize profits due to proper pyramiding, decrease the impact of unprofitable trading decisions and in general, make your life easier. Author: Point Zero

Check out the new article: Statistical Arbitrage with predictions . We will walk around statistical arbitrage, we will search with python for correlation and cointegration symbols, we will make an indicator for Pearson's coefficient and we will make an EA for trading statistical arbitrage with

Check out the new article: A feature selection algorithm using energy based learning in pure MQL5 . In this article we present the implementation of a feature selection algorithm described in an academic paper titled,"FREL: A stable feature selection algorithm", called Feature weighting as

MQL5 Wizard - Trade Signals Based on Morning/Evening Stars + MFI : The MQL5 Wizard allows creating ready-made Expert Advisors based on the Standard library classes delivered together with the client terminal (see Creating Ready-Made Expert Advisors in MQL5 Wizard for the details). It allows to check

Support ressitance - Barry (extended) : Support ressitance - Barry (extended version). Author: Mladen Rakic

Pivot_Points_Lines_v1.3 MT4 : Draws Pivot Points Formulas Author: NickBixy

New article Transferring an Indicator Code into an Expert Advisor Code. Indicator Structure has been published: This article dwells on the ways of transferring an indicator code into an Expert Advisor Code and on writing Expert Advisors with no calling to custom indicators, and with the whole...

pivots calculation based on pine script v4 : This is the exact conversion of pivotshigh and pivotslow functions from pine script v4 as an mql5 indicator. Author: Yashar Seyyedin

EMA CROSS : Crossing of the two iMAs. Author: Vladimir Karputov

Check out the new article: MQL5 Wizard Techniques you should know (Part 11): Number Walls . Number Walls are a variant of Linear Shift Back Registers that prescreen sequences for predictability by checking for convergence. We look at how these ideas could be of use in MQL5. For a few time-series, it

Check out the new article: Introduction to MQL5 (Part 2): Navigating Predefined Variables, Common Functions, and Control Flow Statements . Embark on an illuminating journey with Part Two of our MQL5 series. These articles are not just tutorials, they're doorways to an enchanted realm where

RSI adaptive EMA : RSI adaptive EMA Author: Mladen Rakic

GannSwing : Gann Swing indicator Author: Scriptor

Ilan iMA : Ilan based on indicator iMA (Moving Average, MA) Author: Vladimir Karputov

Lesson 3_Price Action : This is a guide to trading using the price action method Author: Dao Thanh Tan

Lession 1_ Bullish and Bearllish Candle Tick : This is a lesson on how to create a Bullish - Bearllish reversal trading method based on the Japanese candlestick pattern. Now we will refer to detail introduct about method: Author: Dao Thanh Tan

SuperWoodiesCCI : The indicator that realizes the trading strategy using the CCI Fig.1 The SuperWoodiesCCI indicator Author: Nikolay Kositsin

Trading Sessions Open - Close : This is a trading sessions indicator. Author: Mladen Rakic

Professional ZigZag : I think that ZigZag is something like compression of the price chart. The ZigZag can be calculated using the price of the bar (for example, Close price) or High/Low prices of the bar (the most common used method) While working with the standard ZigZag, proposed by MetaQuotes, I

Check out the new article: MQL5 Wizard Techniques you should know (Part 18): Neural Architecture Search with Eigen Vectors . Neural Architecture Search, an automated approach at determining the ideal neural network settings can be a plus when facing many options and large test data sets. We examine

Count consecutive no. of bull or bear bars : Sample code to count consecutive no. of bull or bear bars. Author: Sardion Maranatha

New article Swaps (Part I): Locking and Synthetic Positions has been published: In this article I will try to expand the classic concept of swap trading methods. I will explain why I have come to the conclusion that this concept deserves special attention and is absolutely recommended for study. I

Indicator of Equity and Balance: The indicator draws the charts of equity and balance by the data of accounts history, it uses the current opened positions for updating the charts in the real time mode as well. Author: Игорь Корепин

New article Learn how to design a trading system by Envelopes has been published: In this article, I will share with you one of the methods of how to trade bands. This time we will consider Envelopes and will see how easy it is to create some strategies based on the Envelopes. As this indicator is a

Candle Closing Time Remaining (CCTR) MT5 : Candle Closing Time Remaining (CCTR) MT5 is an indicator which displays the remaining time for an open candle to be closed. Features Changeable color and size, Changeable location (Corners), Display server time (on OR off) [v2], Play an alert sound when the

New article The Basics of Object-Oriented Programming is published: You don't need to know what are polymorphism, encapsulation, etc. all about in to use object-oriented programming (OOP)... you may simply use these features. This article covers the basics of OOP with hands-on examples. Author

Get Nth Closed Trade from the end in MT5 : This EA will scan all the closed trades and then print the nth trade from the end Author: Biswarup Banerjee

Get Nth Active Trade from the end in MT5 : This EA will scan all the open trades and then print the nth trade from the end Author: Biswarup Banerjee

Check out the new article: Data Science and ML (Part 22): Leveraging Autoencoders Neural Networks for Smarter Trades by Moving from Noise to Signal . In the fast-paced world of financial markets, separating meaningful signals from the noise is crucial for successful trading. By employing