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- Machine learning in trading: theory, models, practice and algo-trading 61 new comments
- How can I get the „inner“ spread ? 17 new comments
- [request]Privacy issue 14 new comments
Published article "Data Science and Machine Learning (Part 18): The battle of Mastering Market Complexity, Truncated SVD Versus NMF".
![Data Science and Machine Learning (Part 18): The battle of Mastering Market Complexity, Truncated SVD Versus NMF](https://c.mql5.com/2/64/Data_Science_and_Machine_Learning_pPart_183_Truncated_SVD_Versus_NMF__LOGO.png)
Truncated Singular Value Decomposition (SVD) and Non-Negative Matrix Factorization (NMF) are dimensionality reduction techniques. They both play significant roles in shaping data-driven trading strategies. Discover the art of dimensionality reduction, unraveling insights, and optimizing quantitative analyses for an informed approach to navigating the intricacies of financial markets.
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New publications in CodeBase
- Open Trade This function performs the main logic of opening a trade. Calculates the opening price, take profit levels and stop loss based on symbol information and parameters provided by the user. Prepare a trade request (MqlTradeRequest) with the necessary information, such as symbol, volume, order type, deviation, comment, magic number, etc. Call the OrderSend function to send the operation request and get the result. SetTypeFillingBySymbol function: Determines the order fill type (Fill or Kill, Immediate or Cancel, or Return) based on the symbol's filling policy. GetMinTradeLevel function: Calculates the minimum operating level based on the freeze level and the symbol stops level. Adjusts the minimum level to make sure it is within certain limits and returns the result.
- Bounce Number for Grid/Martingale strategies Lot Sizing/Order Count set When we want to know how many times price will goes up and down 40 pips before breaking this channel, we will need Bounce Number tool.
Published article "Introduction to MQL5 (Part 2): Navigating Predefined Variables, Common Functions, and Control Flow Statements".
![Introduction to MQL5 (Part 2): Navigating Predefined Variables, Common Functions, and Control Flow Statements](https://c.mql5.com/2/64/Introduction_to_MQL5_4Part_2c__LOGO-transformed.png)
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 programming novices and wizards alike unite. What makes this journey truly magical? Part Two of our MQL5 series stands out with its refreshing simplicity, making complex concepts accessible to all. Engage with us interactively as we answer your questions, ensuring an enriching and personalized learning experience. Let's build a community where understanding MQL5 is an adventure for everyone. Welcome to the enchantment!
Published article "Developing an MQTT client for Metatrader 5: a TDD approach — Part 5".
![Developing an MQTT client for Metatrader 5: a TDD approach — Part 5](https://c.mql5.com/2/64/Developing_an_MQTT_client_for_Metatrader_5___Part_5___LOGO__1.png)
This article is the fifth part of a series describing our development steps of a native MQL5 client for the MQTT 5.0 protocol. In this part we describe the structure of PUBLISH packets, how we are setting their Publish Flags, encoding Topic Name(s) strings, and setting Packet Identifier(s) when required.
Published article "Data label for time series mining (Part 5):Apply and Test in EA Using Socket".
![Data label for time series mining (Part 5):Apply and Test in EA Using Socket](https://c.mql5.com/2/64/Data_label_for_time_series_miningbPart_50_Apply_and_Test_in_EA_Using_Socket_____LOGO.png)
This series of articles introduces several time series labeling methods, which can create data that meets most artificial intelligence models, and targeted data labeling according to needs can make the trained artificial intelligence model more in line with the expected design, improve the accuracy of our model, and even help the model make a qualitative leap!
Published article "Implementation of the Augmented Dickey Fuller test in MQL5".
![Implementation of the Augmented Dickey Fuller test in MQL5](https://c.mql5.com/2/64/Implementation_of_the_Augmented_Dickey_Fuller_test_in_MQL5__LOGO.png)
In this article we demonstrate the implementation of the Augmented Dickey-Fuller test, and apply it to conduct cointegration tests using the Engle-Granger method.
Published article "Building Your First Glass-box Model Using Python And MQL5".
![Building Your First Glass-box Model Using Python And MQL5](https://c.mql5.com/2/64/Building_Your_First_Glass_Box_Model_Using_Python_And_MQL5__LOGO_____2.png)
Machine learning models are difficult to interpret and understanding why our models deviate from our expectations is critical if we want to gain any value from using such advanced techniques. Without comprehensive insight into the inner workings of our model, we might fail to spot bugs that are corrupting our model's performance, we may waste time over engineering features that aren't predictive and in the long run we risk underutilizing the power of these models. Fortunately, there is a sophisticated and well maintained all in one solution that allows us to see exactly what our model is doing underneath the hood.
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- Machine learning in trading: theory, models, practice and algo-trading 47 new comments
- Pair trading and multicurrency arbitrage. The showdown. 19 new comments
- MTF iFractals Support Resistance Indicator help 11 new comments
Published article "Making a dashboard to display data in indicators and EAs".
![Making a dashboard to display data in indicators and EAs](https://c.mql5.com/2/57/information_panel_for_displaying_data_avatar.png)
In this article, we will create a dashboard class to be used in indicators and EAs. This is an introductory article in a small series of articles with templates for including and using standard indicators in Expert Advisors. I will start by creating a panel similar to the MetaTrader 5 data window.
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![How to purchase a trading robot from the MetaTrader Market and to install it?](https://c.mql5.com/2/0/MQL5_market__1.png)
How to purchase a trading robot from the MetaTrader Market and to install it?
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
![How to Test a Trading Robot Before Buying](https://c.mql5.com/2/0/avatar_test_mql5_market.png)
How to Test a Trading Robot Before Buying
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
![MetaTrader 5 on Linux](https://c.mql5.com/2/0/linux5.png)
In this article, we demonstrate an easy way to install MetaTrader 5 on popular Linux versions — Ubuntu and Debian. These systems are widely used on server hardware as well as on traders’ personal computers.
Most downloaded source codes this month
- Trade Sessions Indicator This indicator is based on DRAW_FILLING buffers. The input parameters are absent, the TimeTradeServer(), TimeGMT() functions are used.
- Candle Time End and Spread The indicator displays the current spread and the time till closing the bar (candlestick) at the same time.
- PA RSI The Oscillator Indicator for MetaTrader 4 is a powerful tool that accurately identifies the perfect signal on the completion of trends.
New publications in CodeBase
- Calculate unrealized profit(s) at a specific time in history This is a script to print all open trades and their PnLs at a specific time in history.
- SSH Multi Time-Frame SSH is popular indicator as it uses simply two moving averages. This version is a mylti-TF of SSH with TF change ability from screen.
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New publications in CodeBase
- SymbolSyncEA Syncs all chart symbols to symbol of the chart the EA is attached to
- wd.Multi_ClockPrice lite! The 'wd.Multi_ClockPrice lite!' is the lite version of 'wd.Multi_ClockPrice', providing a visual representation of server time and bid prices on the chart. It synchronizes with PC clock every seconds, allowing seamless updates even when MT5 is offline. Real-time bid prices are displayed, efficiently meeting the need for price information. Place informational labels in the specified sub-window, adjusting positions as needed.
The most popular forum topics:
- Machine learning in trading: theory, models, practice and algo-trading 36 new comments
- In which way program performance is best? 24 new comments
- Experts: No Loss EA - No Indicator, No Price Action strategy for MetaTrader 4 17 new comments
21 new signals now available for subscription:
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Published article "Neural networks made easy (Part 56): Using nuclear norm to drive research".
![Neural networks made easy (Part 56): Using nuclear norm to drive research](https://c.mql5.com/2/57/nuclear_norm_utilization_avatar.png)
The study of the environment in reinforcement learning is a pressing problem. We have already looked at some approaches previously. In this article, we will have a look at yet another method based on maximizing the nuclear norm. It allows agents to identify environmental states with a high degree of novelty and diversity.