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A group for communication on optimization and free product testing://t.me/+vazsAAcney4zYmZi
Attention! My Telegram doppelgangers have appeared, my real nickname is @JQS_aka_Joo
My github with optimization algorithms: https://github.com/JQSakaJoo/Population-optimization-algorithms-MQL5
All my publications: https://www.mql5.com/en/users/joo/publications
I have been developing systems based on machine learning technologies since 2007 and in the field of artificial
intelligence, optimization and forecasting.
I took an active part in the development of the MT5 platform, such as the introduction of support for universal parallel
computing on the GPU and CPU with OpenCL, testing and backtesting of distributed
computing in the LAN and cloud during optimization in MT5, my test functions are included in the standard delivery of the terminal.
⭐⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐
My Products:
https://www.mql5.com/en/users/joo/seller
Recommended Brokers:
https://rbfxdirect.com/ru/lk/?a=dnhp
The product has been updated to version 1.6 (including for MT5), in which the already incredible search capabilities have become even cooler! Owners of purchased licenses for AO Core can always be sure that they have the best solution search thanks to the author's constant research in the field of optimization. Follow my news and read my articles, I wish you all success in all your endeavors!
1. Increased the speed of the library.
2. The scheme of checking for duplicates has been improved.
https://www.mql5.com/ru/market/product/92455
大肠杆菌觅食策略激发出科学家创建 BFO 优化算法的灵感。 该算法包含原创思路和有前景的优化方法，值得深入研究。
https://www.mql5.com/ru/market/product/92455
AO Core is the core of the optimization algorithm, it is a library built on the author's HMA (hybrid metaheuristic algorithm) algorithm. Pay attention to the MT5 Optimization Booster product , which makes it very easy to manage the regular MT5 optimizer . An example of using AO Core is described in the article: https://www.mql5.com/ru/articles/14183 https://www.mql5.com/en/blogs/post/756510 This hybrid algorithm is based on a genetic algorithm and contains the best qualities and properties of
鱼群搜索（FSS）是一种新的优化算法，其灵感来自鱼群中鱼的行为，其中大多数（高达 80%）游弋在有组织的亲属群落中。 经证明，鱼类的聚集在觅食效率和保护捕食者方面起着重要作用。
我们来研究一种最新的现代优化算法 — 灰狼优化。 测试函数的原始行为令该算法成为以前研究过的算法中最有趣的算法之一。 这是训练神经网络的顶级算法之一，具有许多变量的平滑函数。
在本文中，我们将研究人工蜂群的算法，并用研究函数空间得到的新原理来补充我们的知识库。 在本文中，我将陈列我对经典算法版本的解释。
在本文中，我将研究流行的粒子群优化（PSO）算法。 之前，我们曾讨论过优化算法的重要特征，如收敛性、收敛率、稳定性、可伸缩性，并开发了一个测试台，并研究了最简单的 RNG 算法。
https://www.mql5.com/ru/market/product/86687
Thanks for the discussion. I will be glad to receive any feedback.:)
https://www.mql5.com/ru/market/product/86716
в составе простенького советника:
專業的交易工具 - AO 和價格之間的背離指標，讓您及時接收趨勢反轉的信號或捕捉價格回調（取決於設置）。指標設置允許您調整由於 AO 峰值的斜率和價格變化的百分比而導致的背離強度，從而可以微調信號的強度。作為 EA 的一部分，指標代碼經過非常快速的優化和測試。 指標不會重新繪製，交易方向的箭頭正好位於信號出現的位置 - 在柱的開盤處。 Fractal True FastPeriod_P = 5 ; //Fast period SlowPeriod_P = 34 ; //Slow period LeftBars_P =
一个专业的交易工具是RSI和价格之间的背离指标，它允许您及时收到关于趋势反转的信号或捕捉价格回调走势（取决于设置）。 指标设置允许您根据RSI峰值的角度和价格的百分比变化来调整发散的强度，这使得微调信号强度成为可能。 指标代码经过优化，并作为Ea交易的一部分进行了非常快速的测试。 指标不重绘，交易方向的箭头正好位于信号出现的位置--在柱的开口处。 Fractal True . PeriodRSI_P = 14 ; //Period IndentFrom50_P = 10.0 ; //Indent +- from 50 [0...50] LeftBars_P = 1