Published article "Tuning LLMs with Your Own Personalized Data and Integrating into EA (Part 5): Develop and Test Trading Strategy with LLMs(I)-Fine-tuning".
With the rapid development of artificial intelligence today, language models (LLMs) are an important part of artificial intelligence, so we should think about how to integrate powerful LLMs into our algorithmic trading. For most people, it is difficult to fine-tune these powerful models according to their needs, deploy them locally, and then apply them to algorithmic trading. This series of articles will take a step-by-step approach to achieve this goal.
Published article "Implementing the Zeus EA: Automated Trading with RSI and Moving Averages in MQL5".
This article outlines the steps to implement the Zeus EA based on the RSI and Moving Average indicators for guiding automated trading.
Published article "Creating an MQL5-Telegram Integrated Expert Advisor (Part 1): Sending Messages from MQL5 to Telegram".
In this article, we create an Expert Advisor (EA) in MQL5 to send messages to Telegram using a bot. We set up the necessary parameters, including the bot's API token and chat ID, and then perform an HTTP POST request to deliver the messages. Later, we handle the response to ensure successful delivery and troubleshoot any issues that arise in case of failure. This ensures we send messages from MQL5 to Telegram via the created bot.
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Published article "Data Science and ML (Part 29): Essential Tips for Selecting the Best Forex Data for AI Training Purposes".
In this article, we dive deep into the crucial aspects of choosing the most relevant and high-quality Forex data to enhance the performance of AI models.
Published article "DoEasy. Service functions (Part 2): Inside Bar pattern".
In this article, we will continue to look at price patterns in the DoEasy library. We will also create the Inside Bar pattern class of the Price Action formations.
Published article "Implementing a Bollinger Bands Trading Strategy with MQL5: A Step-by-Step Guide".
A step-by-step guide to implementing an automated trading algorithm in MQL5 based on the Bollinger Bands trading strategy. A detailed tutorial based on creating an Expert Advisor that can be useful for traders.
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49 new signals now available for subscription:
Growth: | 196.46 | % |
Equity: | 33 945.16 | USD |
Balance: | 34 092.88 | USD |
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- Questions from Beginners MQL5 MT5 MetaTrader 5 20 new comments
- Problem in MQL5 code, Help! 10 new comments
- How can I fix rates_total/Bars()/iBars() being out of sync with charts? 10 new comments
Most read articles this month
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.
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.
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.
Most downloaded source codes this month
- Grid EA Pro A professional Grid advisor works according to RSI ( Relative Strength Index ) indicators. And has the function of Reducing the Drawdown on the account by overlapping unprofitable orders. The chart displays information about the profit. It can be a very useful tool, For manual trading.
- SuperTrend SuperTrend indicator.
- b-clock Show minutes and seconds left before new candle is appeared.
Published article "Time series clustering in causal inference".
Clustering algorithms in machine learning are important unsupervised learning algorithms that can divide the original data into groups with similar observations. By using these groups, you can analyze the market for a specific cluster, search for the most stable clusters using new data, and make causal inferences. The article proposes an original method for time series clustering in Python.
Published article "Neural networks made easy (Part 82): Ordinary Differential Equation models (NeuralODE)".
In this article, we will discuss another type of models that are aimed at studying the dynamics of the environmental state.
Published article "MQL5 Wizard Techniques you should know (Part 30): Spotlight on Batch-Normalization in Machine Learning".
Batch normalization is the pre-processing of data before it is fed into a machine learning algorithm, like a neural network. This is always done while being mindful of the type of Activation to be used by the algorithm. We therefore explore the different approaches that one can take in reaping the benefits of this, with the help of a wizard assembled Expert Advisor.
Published article "Price-Driven CGI Model: Advanced Data Post-Processing and Implementation".
In this article, we will explore the development of a fully customizable Price Data export script using MQL5, marking new advancements in the simulation of the Price Man CGI Model. We have implemented advanced refinement techniques to ensure that the data is user-friendly and optimized for animation purposes. Additionally, we will uncover the capabilities of Blender 3D in effectively working with and visualizing price data, demonstrating its potential for creating dynamic and engaging animations.
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Published article "Developing a Replay System (Part 43): Chart Trade Project (II)".
Most people who want or dream of learning to program don't actually have a clue what they're doing. Their activity consists of trying to create things in a certain way. However, programming is not about tailoring suitable solutions. Doing it this way can create more problems than solutions. Here we will be doing something more advanced and therefore different.
Published article "Integrating MQL5 with data processing packages (Part 1): Advanced Data analysis and Statistical Processing".
Integration enables seamless workflow where raw financial data from MQL5 can be imported into data processing packages like Jupyter Lab for advanced analysis including statistical testing.
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Most read articles this week
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.
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.
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.
Most downloaded source codes this week
- Find Swing Highs Swing Lows The Swing High/Low Identifier for MetaTrader 5 marks significant swing highs and swing lows directly on your chart with color-coded arrows. This tool helps traders quickly identify key price levels, which can serve as resistance and support, and is ideal for trend reversal analysis, support and resistance mapping, and enhancing price action strategies. By highlighting these crucial swing points, it provides valuable insights for making informed trading decisions and optimizing trading strategies.
- Arbitrage Triangle EURGBP-EURUSD-GBPUSD by Peter Mueller The EA identifies discrepancies between theoretical and actual currency exchange rates to execute risk-minimized trading opportunities.
- Candle Time End and Spread The indicator displays the current spread and the time till closing the bar (candlestick) at the same time.
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Published article "Build Self Optimizing Expert Advisors With MQL5 And Python (Part II): Tuning Deep Neural Networks".
Machine learning models come with various adjustable parameters. In this series of articles, we will explore how to customize your AI models to fit your specific market using the SciPy library.