import generateCSSUnit from '@Controls/generateCSSUnit';

/**
 * Generate the Box Shadow or Text Shadow CSS.
 *
 * For Text Shadow CSS:
 * { spread, position } should not be sent as params during the function call.
 * { spreadUnit } will have no effect.
 *
 * For Box/Text Shadow Hover CSS:
 * { altColor } should be set as the attribute used for { color } in Box/Text Shadow Normal CSS.
 *
 * @param {Object} shadowProperties                       The object of properties used to generate the Box/Text Shadow CSS.
 * @param {number|undefined} shadowProperties.horizontal  The horizontal value.
 * @param {number|undefined} shadowProperties.vertical    The vertical value.
 * @param {number|undefined} shadowProperties.blur        The blur value.
 * @param {number|undefined} shadowProperties.spread      The spread value.
 * @param {string} shadowProperties.horizontalUnit        The horizontal unit, defaults to 'px'.
 * @param {string} shadowProperties.verticalUnit          The vertical unit, defaults to 'px'.
 * @param {string} shadowProperties.blurUnit              The blur unit, defaults to 'px'.
 * @param {string} shadowProperties.spreadUnit            The spread unit, defaults to 'px'.
 * @param {string|undefined} shadowProperties.color       The shadow color.
 * @param {string} shadowProperties.position              The inset/outset position.
 * @param {string} shadowProperties.altColor              An alternate color to use for hover if color is undefined.
 * @return {string}                                       The generated css, or empty string if required properties aren't set.
 *
 * @since 2.5.0
 */
const generateShadowCSS = ( shadowProperties ) => {
	let {
		horizontal,
		vertical,
		blur,
		spread = undefined,
		horizontalUnit = 'px',
		verticalUnit = 'px',
		blurUnit = 'px',
		spreadUnit = 'px',
		color,
		position = 'outset',
		altColor = '',
	} = shadowProperties;

	// Although optional, color is required for Sarafi on PC. Return early if color isn't set.
	if ( ! color && ! altColor ) {
		return '';
	}

	// Get the CSS units for the number properties.
	horizontal = generateCSSUnit( horizontal, horizontalUnit );
	if ( '' === horizontal ) {
		horizontal = 0;
	}

	vertical = generateCSSUnit( vertical, verticalUnit );
	if ( '' === vertical ) {
		vertical = 0;
	}

	blur = generateCSSUnit( blur, blurUnit );
	if ( '' === blur ) {
		blur = 0;
	}

	spread = generateCSSUnit( spread, spreadUnit );
	if ( '' === spread ) {
		spread = 0;
	}

	// If all numeric unit values are exactly 0, don't render the CSS.
	if ( 0 === horizontal && 0 === vertical && 0 === blur && 0 === spread ) {
		return '';
	}

	// Return the CSS with horizontal, vertical, blur, and color - and conditionally render spread and position.
	return `${ horizontal } ${ vertical } ${ blur }${ spread ? ` ${ spread }` : '' } ${ color ? color : altColor }${
		'outset' === position ? '' : ` ${ position }`
	}`;
};

export default generateShadowCSS;
/*! elementor-pro - v3.13.2 - 22-05-2023 */
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		<h1 class="entry-title">Платформа Для Создания Ботов На Криптовалютном Рынке</h1>	</header><!-- .entry-header -->
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				<span class="posted-on"><a href="https://aicenter-itb.com/blog/2023/03/03/platforma-dlja-sozdanija-botov-na-kriptovaljutnom/" rel="bookmark"><i class="fa fa-calendar"></i><time class="entry-date published" datetime="2023-03-03T20:54:57+00:00">March 3, 2023</time><time class="updated" datetime="2024-07-10T09:55:37+00:00">July 10, 2024</time></a></span><span class="byline"> <span class="author vcard"><a class="url fn n" href="https://aicenter-itb.com/blog/author/aicenter/"><i class="fa fa-user"></i>aicenter</a></span></span>			</div><!-- .entry-meta -->
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			<p>В этой коллекции вы найдете примеры готовых ботов для фьючерсного и спотового рынков с разными вариациями применения наших торговых инструментов. Софт с гибкой настройкой стратегии, который запускается через облако и локально. Разработчики предоставляют демоверсию и бесплатный пробный период на 7 дней. Для новичков, которые только начинают свой путь в инвестировании и торговле криптовалютами, копитрейдинг может быть более привлекательным и простым вариантом. Он позволяет вам изучать рынок, наблюдать  за действиями успешных трейдеров и учиться на их опыте.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.xcritical.com/wp-content/uploads/2022/08/b4479b8f-0bef-4be6-8dc7-945187d7d2ebsizelarge-768x432.webp" width="305px" alt="боты для трейдинга"/></p>
<p>Программа работает по принципам, схожим с мышлением человека. Простыми словами, нейросеть — это математическая модель, которая имитирует пути, которыми пользуются люди для принятия решений. Алгоритм работы показывает доход на бычьем рынке, когда цена растет. При медвежьем тренде он не умеет анализировать, поэтому дает отрицательный результат.</p>
<p>Много экспертного и вспомогательного контента, который может помочь в повышении прибыли от работы. С помощью платформы WunderTrading можно получать пассивный доход через автоматизированный трейдинг на популярных криптобиржах. Предлагается много гибких настроек для стратегий, но в идеале нужен торговый опыт, чтобы  робот работал по-настоящему прибыльно.</p>
<h2>Ии Для Трейдинга: Топ-8</h2>
<p>Платформа ApiTrade поддерживает 6+ торговых и арбитражных алгоритмов с минимальными рисками, которые в процессе работы автоматически обучаются. Биржа Gate.io предлагает, пожалуй, самый широкий выбор роботов среди конкурентов. Здесь можно применять автоматические стратегии на все случаи жизни и существенно увеличить свой доход. Для новичков в наличии доступные подробные инструкции по настройке.</p>
<p>Доступна автоматизация собственных стратегий или подключение к уже созданным. Для продвинутых пользователей доступен редактор кода программ на языке Python. Алгоритм заточен на работу по стратегии усреднения. Его суть заключается в снижении средней цены входа в актив за счет увеличения веса позиции. При входе в сделку бот, исходя из настроек, размещает ордер на продажу с заданным процентом прибыли. Если стоимость актива падает ниже заданной отметки, бот отменяет ордер.</p>
<h2>Рейтинг Топ-10 Лучших Ботов Для Торговли Криптовалютой На Бирже</h2>
<p>Валютная биржа &#8211; организует и проводит биржевые торги валютой и др. Товарная биржа &#8211; даёт возможность торговли различными товарами (чаще сельскохозяйственная продукция, драгоценные металлы). Трейдинга, позволяющий копировать стратегии управляющего без передачи ему своих денег. Депозит замораживается на счету инвестора и он может установить уровень потерь.</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.xcritical.com/wp-content/uploads/2022/08/20599942-f213-4fcb-83a1-7a0b6eeaed9c-768x432.webp" width="307px" alt="боты для трейдинга"/></p>
<p>Они требуют больше времени на изучение и настройку, но могут предоставить гибкость и возможность автоматизировать процесс торговли. Вам нужно будет подключить ваш бот к криптовалютной бирже, на которой вы хотите торговать. Обычно это делается путем создания API-ключа на бирже и предоставления его боту. Следуйте инструкциям, предоставленным разработчиком бота, и не забудьте разрешить только операции чтения и торговли. Разработчикам торговых ботов важно получать с клиентов комиссию, но их не интересует, торгуют ли пользователи с прибылью или нет».</p>
<h2>Альтернативы Ботов: Где Еще Торговать Криптовалютой</h2>
<p>Например, программы могут быть недостаточно точными или содержать ошибки, что может привести к потерям. Кроме того, многие стратегии, основанные на машинном обучении, могут быть скомпрометированы из-за неожиданных изменений на рынке или других факторов», — уверен наш собеседник. Программа умеет быстро анализировать большой объем данных и выдавать информацию по запросу. В том числе, в теории, нейросеть можно использовать в трейдинге. Нейросеть — это метод в искусственном интеллекте, который учит компьютер обрабатывать информацию и принимать решения, исходя из полученных данных.</p>
<p>Tickeron предлагает множество замечательных функций, таких как прогнозирование тенденций AI. Поскольку платформа использует облачная бот-платформа для торговли акциями, которая увеличивает скорость и уменьшает потенциальное отставание в сделках, чувствительных ко времени. Это платформа корпоративного уровня, обеспечивающая высокую доступность и надежность. Он предназначен для обработки входящих сигналов из любой внешней системы и преобразования их в реальные ордера на брокерском счете. Это технология, которая ранее не была доступна розничным трейдерам. Одновременно он ежедневно изучает более 2 миллионов сообщений в социальных сетях с таких платформ, как Twitter и Reddit, предоставляя полезную информацию, отслеживая пульс рынка.</p>
<h2>Функции Платформы</h2>
<p>Их нужно просто настроить, а затем следить за их работой — торговля происходит автоматически. Благодаря интуитивно понятному интерфейсу, они помогают трейдерам всех уровней опыта. Конечно, успех в итоге зависит от правильного использования инструментов и грамотного анализа рынка.</p>
<p>Функционал рассчитан как на новичков, так и для опытных трейдеров. Для начинающих есть готовые настройки, начиная с депозита в $1. А опытные трейдеры могут добавлять стратегии TradingView, выставлять стоп-лоссы и выбирать из 20+ индикаторов.</p>
<div style='text-align:center'><iframe width='568' height='318' src='https://www.youtube.com/embed/d8YqOkNSZVA' frameborder='0' alt='боты для трейдинга' allowfullscreen></iframe></div>
<p>Это позволит быстро протестировать разные стратегии. Настроить программу очень легко через Личный кабинет. Пользователю не придется скачивать дополнительное ПО на компьютер.</p>
<h2>Плюсы И Минусы Торговых Ботов</h2>
<p>Вы можете настроить выбор из данного списка, и робот AI сканирует тикеры из списка, чтобы найти торговые возможности на основе паттернов в реальном времени. Роботы AI также управляют автоматизированными торговыми залами, где AI совершает сделки на основе нескольких нейронных сетей. Он измеряет настроения от медвежьих до бычьих и дает представление о восприятии рынка. Статьи и сообщения в социальных сетях анализируются и оцениваются на предмет релевантности, что гарантирует выделение только актуальной информации. Он непрерывно отслеживает ежедневно более 2 миллионов мнений о фондовом рынке, гарантируя, что пользователи всегда будут в курсе преобладающих дискуссий. Нейросети помогают трейдерам оптимизировать работу.</p>
<p>Да, торговый бот OKX совершенно бесплатен для использования пользователями OKX. Это один из инструментов, которые платформа предлагает для торговли криптовалютой. Pionex — один из лучших криптовалютных торговых ботов на основе искусственного интеллекта. Он предлагает 16 <a href="https://www.xcritical.com/ru/blog/smartbots-ili-boty-pomogayushchie-v-trejdinge/">https://www.xcritical.com/ru/blog/smartbots-ili-boty-pomogayushchie-v-trejdinge/</a> бесплатных встроенных торговых ботов.</p>
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" width="307px" alt="боты для трейдинга"/></p>
<p>AI-роботы платформы позволяют вам просматривать купленные и проданные сделки с потенциальной прибылью и стоп-лоссом в режиме реального времени. Боты могут анализировать рыночные данные, следить за ценами и торговыми сигналами, и автоматически заключать сделки, когда условия соответствуют настройкам пользователя. Kryll&nbsp;— это бот для торговли криптовалютами на основе искусственного интеллекта и программное обеспечение для автоматизации, разработанное для дневных трейдеров. С помощью Kryll трейдеры могут управлять портфелем или заниматься быстрой дневной торговлей.</p>
<p>В процессе работе над статьей проанализировали лучших криптороботов для торговли криптовалютой на биржах, которые можно использовать в 2024 году для заработка. CryptoHopper — отличный вариант как для новичков, так и для экспертов. Это облачный бот для криптоторговли на основе искусственного интеллекта, который использует алгоритмический программируемый подход. Клиенты могут анализировать внешние сигналы для совершения основанных на большем количестве информации сделок. Бот совместим с девятью самыми крупными криптовалютными биржами, включая Binance, OKX, Coinbase, Huobi, Kraken и другие. Торговле криптовалютами нужно уделять много времени, требуется посвятить себя этой сфере и постоянно получать новые знания, поэтому обучиться этому делу довольно сложно.</p>
<ul>
<li>Trade Ideas сканирует рынок и сигнализирует трейдеру о перспективных возможностях открытия сделок.</li>
<li>В рейтинг лучших ботов для торговли криптовалютой попали не все доступные программы.</li>
<li>Проект создан выходцами из Goldman Sachs и Millennium.</li>
<li>Прибыль\убытки распределяются в процентном соотношении.</li>
<li>Для настройки алгоритма программисты предоставляют множество параметров.</li>
<li>Одновременно он ежедневно изучает более 2 миллионов сообщений в социальных сетях с таких платформ, как Twitter и Reddit, предоставляя полезную информацию, отслеживая пульс рынка.</li>
</ul>
<p>Трейдер может самостоятельно научить бота работать с мешками или периодически вмешиваться в его действия, просматривать сделки и закрывать позиции вручную. Veles берет комиссию 20% с каждой успешной сделки, но не более $50 за один календарный месяц. При регистрации новым пользователям дается бонус размером $10, который можно потратить на тестирование платформы. Эти приложения используют для диверсификации рисков. Одним аккаунтом управляет человек, а другим — программа.</p>
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