5 new products are now available on the Market:
3 new topics on forum:
Bestsellers in the Market:
6 new products are now available on the Market:
Published article "Causal analysis of time series using transfer entropy".
![Causal analysis of time series using transfer entropy](https://c.mql5.com/2/86/Causal_analysis_of_time_series_using_transfer_entropy___LOGO.png)
In this article, we discuss how statistical causality can be applied to identify predictive variables. We will explore the link between causality and transfer entropy, as well as present MQL5 code for detecting directional transfers of information between two variables.
Published article "Twitter Sentiment Analysis with Sockets".
![Twitter Sentiment Analysis with Sockets](https://c.mql5.com/2/86/Twitter_Sentiment_Analysis_with_Sockets__LOGO.png)
This innovative trading bot integrates MetaTrader 5 with Python to leverage real-time social media sentiment analysis for automated trading decisions. By analyzing Twitter sentiment related to specific financial instruments, the bot translates social media trends into actionable trading signals. It utilizes a client-server architecture with socket communication, enabling seamless interaction between MT5's trading capabilities and Python's data processing power. The system demonstrates the potential of combining quantitative finance with natural language processing, offering a cutting-edge approach to algorithmic trading that capitalizes on alternative data sources. While showing promise, the bot also highlights areas for future enhancement, including more advanced sentiment analysis techniques and improved risk management strategies.
Published article "MQL5 Wizard Techniques you should know (Part 29): Continuation on Learning Rates with MLPs".
![MQL5 Wizard Techniques you should know (Part 29): Continuation on Learning Rates with MLPs](https://c.mql5.com/2/86/MQL5_Wizard_Techniques_you_should_know_Part_29___LOGO.png)
We wrap up our look at learning rate sensitivity to the performance of Expert Advisors by primarily examining the Adaptive Learning Rates. These learning rates aim to be customized for each parameter in a layer during the training process and so we assess potential benefits vs the expected performance toll.
Published article "Building A Candlestick Trend Constraint Model (Part 7): Refining our model for EA development".
![Building A Candlestick Trend Constraint Model (Part 7): Refining our model for EA development](https://c.mql5.com/2/86/Building_A_Candlestick_Trend_Constraint_Model_Part_7___LOGO.png)
In this article, we will delve into the detailed preparation of our indicator for Expert Advisor (EA) development. Our discussion will encompass further refinements to the current version of the indicator to enhance its accuracy and functionality. Additionally, we will introduce new features that mark exit points, addressing a limitation of the previous version, which only identified entry points.
6 new products are now available on the Market:
Bestsellers in the Market:
The most downloaded free products:
Published article "Developing a Replay System (Part 42): Chart Trader Project (I)".
![Developing a Replay System (Part 42): Chart Trader Project (I)](https://c.mql5.com/2/69/Desenvolvendo_um_sistema_de_Replay_3Parte_42x_Projeto_do_Chart_Trade_tIw___LOGO_.png)
Let's create something more interesting. I don't want to spoil the surprise, so follow the article for a better understanding. From the very beginning of this series on developing the replay/simulator system, I was saying that the idea is to use the MetaTrader 5 platform in the same way both in the system we are developing and in the real market. It is important that this is done properly. No one wants to train and learn to fight using one tool while having to use another one during the fight.
Published article "Population optimization algorithms: Whale Optimization Algorithm (WOA)".
![Population optimization algorithms: Whale Optimization Algorithm (WOA)](https://c.mql5.com/2/73/Whale_Optimization_Algorithm___LOGO.png)
Whale Optimization Algorithm (WOA) is a metaheuristic algorithm inspired by the behavior and hunting strategies of humpback whales. The main idea of WOA is to mimic the so-called "bubble-net" feeding method, in which whales create bubbles around prey and then attack it in a spiral motion.
4 new products are now available on the Market:
Bestsellers in the Market:
Bestsellers in the Market:
8 new products are now available on the Market:
Published article "Build Self Optimizing Expert Advisors With MQL5 And Python".
![Build Self Optimizing Expert Advisors With MQL5 And Python](https://c.mql5.com/2/85/Build_Self_Optimizing_Expert_Advisors_With_MQL5_And_Python__LOGO.png)
In this article, we will discuss how we can build Expert Advisors capable of autonomously selecting and changing trading strategies based on prevailing market conditions. We will learn about Markov Chains and how they can be helpful to us as algorithmic traders.