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My favorite programming language is Python, a versatile and powerful tool that I have mastered to a tee. I have harnessed the capabilities of Python in various domains, including backend web development, automation, and much more. Whether it's crafting elegant web solutions, streamlining processes through automation, or delving into data analysis, Python is my trusted companion in these endeavors.
One of my most significant achievements is my in-depth understanding of MQL5, which I've cultivated since 2019. This experience has made me a seasoned professional in algorithmic trading, equipped with the knowledge and skills to create sophisticated trading strategies that can maximize returns and minimize risks. The world of finance and trading is ever-evolving, and I ensure that I stay at the forefront of these developments to offer top-notch algorithmic trading solutions.
For a closer look at my coding prowess and contributions, feel free to follow me on GitHub: https://github.com/MegaJoctan
I take pride in my open-source projects and the code I share with the programming community.
DISCORD: https://discord.gg/jhsdFcNa
TELEGRAM: https://t.me/fxalgebra_discussion
If you're looking for a skilled collaborator for your Machine Learning project, look no further! You can hire me by opening this link: https://www.mql5.com/en/job/new?prefered=omegajoctan
I bring a wealth of experience in programming and a deep appreciation for the nuances of machine learning.
But that's not all – I also offer a range of trading products that cater to both beginners and experts. Explore my catalog of free and paid trading products here: My Trading Products. These meticulously crafted tools can help you navigate the world of algorithmic trading more effectively and profitably.
Thank you for taking the time to learn more about me. I'm always eager to connect with fellow developers, traders, and enthusiasts. Let's collaborate and innovate together!
ONNX is a great tool for integrating complex AI code between different platforms, it is a great tool that comes with some challenges that one must address to get the most out of it, In this article we discuss the common issues you might face and how to mitigate them.
线性回归人工智能驱动指标： 线性回归是一种简单而有效的人工智能技术，是复杂神经网络的基础，该指标基于线性回归分析构建，并试图对市场即将发生的事件做出预测 输入： train_bars：这控制了价格信息将被收集并用于训练其中的 AI 的柱数，该值越大越好，而且指标在初始化期间变得越慢，我建议值为 1000 Predict_next_bars：这决定了您希望指标接下来预测的蜡烛数量，默认情况下该值设置为 10。因为该指标尝试预测接下来 10 个蜡烛的上涨位置。 如果指标预测高于当前价格，则意味着指标预测市场将看涨，否则将看跌 include_ precision：设置为 true 时，指标会计算之前在预测过程中所犯的错误，并将这些错误的平均值包含在新的预测中，以使指标更加准确 在右下角，指示器显示有关训练和测试准确性、精度误差和平均/平均误差的有价值的信息。 在使用指标之前，请确保训练和测试准确度均为 0.6 至 0.9 范围内的良好值，分别代表 60% 至 90% 的准确度。如果指标没有为特定交易品种提供良好的准确度值，则该指标 可能不适合这样的符号。
Dive into the heart of neural networks as we demystify the optimization algorithms used inside the neural network. In this article, discover the key techniques that unlock the full potential of neural networks, propelling your models to new heights of accuracy and efficiency.
Uncover the secrets behind these powerful dimensionality reduction techniques as we dissect their applications within the MQL5 trading environment. Delve into the nuances of Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA), gaining a profound understanding of their impact on strategy development and market analysis,
AdaBoost, a powerful boosting algorithm designed to elevate the performance of your AI models. AdaBoost, short for Adaptive Boosting, is a sophisticated ensemble learning technique that seamlessly integrates weak learners, enhancing their collective predictive strength.
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.
Discover the secrets of algorithmic alchemy as we guide you through the blend of artistry and precision in decoding financial landscapes. Unearth how Random Forests transform data into predictive prowess, offering a unique perspective on navigating the complex terrain of stock markets. Join us on this journey into the heart of financial wizardry, where we demystify the role of Random Forests in shaping market destiny and unlocking the doors to lucrative opportunities
Dive into the intricate world of decision trees in the latest installment of our Data Science and Machine Learning series. Tailored for traders seeking strategic insights, this article serves as a comprehensive recap, shedding light on the powerful role decision trees play in the analysis of market trends. Explore the roots and branches of these algorithmic trees, unlocking their potential to enhance your trading decisions. Join us for a refreshing perspective on decision trees and discover how they can be your allies in navigating the complexities of financial markets.
Discover the indispensable role of Support Vector Machines (SVM) in shaping the future of trading. This comprehensive guide explores how SVM can elevate your trading strategies, enhance decision-making, and unlock new opportunities in the financial markets. Dive into the world of SVM with real-world applications, step-by-step tutorials, and expert insights. Equip yourself with the essential tool that can help you navigate the complexities of modern trading. Elevate your trading game with SVM—a must-have for every trader's toolbox.
It's been 3 weeks since launching Optimus PrimeX: https://www.mql5.com/en/market/product/107065 The robot has made around 269 USD,
It has paid for itself, It costs 250$
3 copies remain for the current price the next price 350$
Optimus PrimeX：提升您的NASDAQ交易体验！ 释放Optimus PrimeX的力量，这是一款精心设计的NASDAQ交易机器人，旨在横扫金融市场的动态领域。建立在趋势跟随策略的基础上，并融入了人工智能偏置，该专家顾问旨在利用NASDAQ指数的长期看涨特性。 跨时间框架的战略分析 Optimus PrimeX在4小时、12小时、日线和周线的时间框架上进行全面分析，利用人工智能识别最佳买入机会，同时谨慎考虑用户设定的风险参数。人工智能驱动的方法确保了战略和知情的交易体验。 有关此机器人的构成和其能够执行的详细信息，请阅读此文章 >> https://www.mql5.com/en/blogs/post/754937 风险友好交易与用户控制 默认情况下，Optimus PrimeX采用风险友好的方法，在最多四笔交易中风险约为账户余额的10%。例如，如果您的账户余额为$1000，那么每笔交易的风险就为$25。这四笔交易的时间框架基于4小时、12小时、日线和周线的策略。 可定制的专家顾问输入 Optimus
深入ONNX的世界，这是一种用于交换机器学习模型的强大的开放标准格式。了解利用ONNX如何彻底改变MQL5中的算法交易，使交易员能够无缝集成尖端的人工智能模型，并将其策略提升到新的高度。揭开跨平台兼容性的秘密，学习如何在您的MQL5交易活动中释放ONNX的全部潜力。通过这篇掌握ONNX的全面指南提升您的交易游戏
基于概率的指标 该指标分析给定时期的价格变动以获得概率分布分析的关键信息，例如它们的均值和标准差，一旦有了这些信息，它就会进行所有必要的计算，最后计算出当前市场价值的概率 高于或低于给定的周期柱。 由于该指标有效地利用了不会说谎的概率的力量，因此它是一个强大的指标，需要放在任何认真的交易者的工具箱中。 当试图为短期交易者和长期交易者以及正在寻找良好进入市场以最大程度减少回撤或一些严格止损的人寻找最佳市场切入点时，该指标可能很方便 早早被击中。 该指标很可能用作退出信号确认。 读取指标值 这个指标很容易使用，在子窗口的左上角指标显示买入概率和卖出概率，即使卖出概率标记为负值它也不是负值，负值有助于做出 在绘制指标期间直方图出现在下方：例如； 当指标显示 概率指标 0.83，-0.17。 它只是意味着买入的概率为 83%，卖出的概率为 17% 概率指标 0.17, -0.83, 简单的说买入的概率是17%，卖出的概率是83% 这是该指标的早期版本，价格为 55 美元，每次更新价格都会上涨，敬请期待 保证满意！！
您是否正在寻找一种可以帮助您驾驭复杂且不断变化的市场的尖端交易方法？ Kohonen 映射是一种创新的人工神经网络形式，可以帮助您发现市场数据中隐藏的形态和趋势。 在本文中，我们将探讨 Kohonen 映射的工作原理，以及如何运用它们来开发更智能、更有效的交易策略。 无论您是经验丰富的交易者，还是刚刚起步，您都不想错过这种令人兴奋的新交易方式。
运用主成分分析（PCA）彻底革新您的金融市场分析！ 发现这种强大的技术如何解锁数据中隐藏的形态，揭示潜在的市场趋势，并优化您的投资策略。 在本文中，我们将探讨 PCA 如何为分析复杂的金融数据提供新的视角，揭示传统方法会错过的见解。 发掘 PCA 应用于金融市场数据如何为您带来竞争优势，并帮助您保持领先地位。
您是否厌倦了持续尝试预测股市？ 您是否希望有一个水晶球来帮助您做出更明智的投资决策？ 自训练神经网络可能是您一直在寻找的解决方案。 在本文中，我们将探讨这些强大的算法是否可以帮助您“乘风破浪”，并跑赢股市。 通过分析大量数据和识别形态，自训练神经网络通常可以做出比人类交易者更准确的预测。 发现如何使用这项尖端技术来最大化您的盈利，并制定更明智的投资决策。