YouTube is one of the most influential platforms in modern media, but its origin story is surprisingly simple: a small team wanted an easier way to share video online. In the early 2000s, uploading and sending video files was slow, formats were inconsistent, and most websites weren’t built for smooth playback. YouTube’s founders focused on removing those barriers—making video sharing as easy as sending a link.

Who Founded YouTube?

YouTube was founded by three former PayPal employees: Chad Hurley, Steve Chen, and Jawed Karim. They combined product thinking, engineering skills, and a clear user goal: create a website where anyone could upload a video and watch it instantly in a browser.

• Chad Hurley — product/design focus and early CEO role
• Steve Chen — engineering and infrastructure
• Jawed Karim — engineering and early concept support

The Problem YouTube Solved

At the time, sharing video often meant emailing huge files or dealing with complicated players and downloads. YouTube made video:

1. Uploadable by non-experts (simple interface)
2. Streamable in the browser (no special setup)
3. Sharable through links and embedding on other sites

Early Growth and the First Video

YouTube launched publicly in 2005. One of the most famous early moments was the first uploaded video, “Me at the zoo,” featuring co-founder Jawed Karim. The clip was short and casual—exactly the kind of everyday content that proved the platform’s big idea: ordinary people could publish video without needing a studio.

Key Milestones Timeline

Year/Date
Milestone
Why It Mattered

2005	YouTube is founded and launches	Introduced easy browser-based video sharing
2005	“Me at the zoo” is uploaded	Became a symbol of user-generated video culture
2006	Google acquires YouTube	Provided resources to scale hosting and global reach

Why Google Bought YouTube

By 2006, YouTube’s traffic was exploding. Video hosting is expensive—bandwidth and storage costs rise fast when millions of people watch content daily. Google’s acquisition gave YouTube the infrastructure and advertising ecosystem to grow into a sustainable business.

What YouTube’s Founding Changed

YouTube didn’t just create a popular website; it reshaped how people learn, entertain themselves, and build careers online. Its founding helped accelerate:

• Creator-driven media and influencer culture
• How-to education and free tutorials at massive scale
• Music discovery, commentary, and global community trends

From a small startup idea to a global video powerhouse, YouTube’s founding is a classic example of a simple product solving a real problem—and changing the internet in the process.

Hippocratic AI raises $141M to staff hospitals with clinical AI agents

Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers

Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.

Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.

Your vote of support is important to us and it helps us keep the content FREE.

In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.

Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.

Raspberry AI secures 24 million US dollars in funding round

Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.

Investing in Raspberry AI – Andreessen Horowitz

Investing in Raspberry AI.

Posted: Mon, 13 Jan 2025 08:00:00 GMT [source]

Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.

One click below supports our mission to provide free, deep, and relevant content.

Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.

For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.

By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.

All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.

Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain

In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.

The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.

TechBullion

The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.

It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that’s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.

• The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.
• Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.
• Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.
• It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.

Hippocratic AI raises $141M to staff hospitals with clinical AI agents

Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers

Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.

Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.

Your vote of support is important to us and it helps us keep the content FREE.

In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.

Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.

Raspberry AI secures 24 million US dollars in funding round

Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.

Investing in Raspberry AI – Andreessen Horowitz

Investing in Raspberry AI.

Posted: Mon, 13 Jan 2025 08:00:00 GMT [source]

Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.

One click below supports our mission to provide free, deep, and relevant content.

Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.

For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.

By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.

All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.

Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain

In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.

The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.

TechBullion

The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.

It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that’s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.

• The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.
• Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.
• Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.
• It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.

Что такое паттерн: определение и какие виды существуют?

Подтверждение данного паттерна наступает, когда цена преодолевает сопротивление линии шеи (проведенной через вершины между обратными “головой” и “плечами”) и продолжает свой рост. Например, трейдер может использовать скользящие средние в сочетании с графическими паттернами для подтверждения потенциальных разворотов или прорывов тренда. Бычий вымпел – это паттерн, который обычно появляется во время восходящего тренда и сигнализирует о возможном продолжении восходящего движения. Вымпел представляет собой флагообразную фигуру, где цены колеблются в узком диапазоне между двумя параллельными линиями поддержки и сопротивления.

Анализ графических паттернов критичен в трейдинге, поскольку он помогает трейдерам предвидеть потенциальные движения цен https://forexby.com/ и принимать обоснованные торговые решения. Выявляя паттерны, трейдеры могут определить, когда рынок склонен к развороту, продолжению или консолидации текущей тенденции. Медвежий вымпел – это паттерн, который часто встречается на графиках после резкого падения цены, когда тренд меняется с медвежьего на бычий.

Это происходит, когда цена движется вниз от области 1 и проходит то, что позже назовут уровнем шеи (область 2). После этого цена актива достигает своего первого дна (область 3), затем немного поднимается к шее (область 4) и падает еще ниже к зоне головы (область 5). После этого цена актива отскакивает и возвращается к шее (область 6), а затем медленно возвращается к уровню плеч. Трейдер обычно следит за графиками, просто глядя на них или рисуя дополнительные линии и фигуры, которые помогают прогнозировать предстоящее движение цены. Классические графические паттерны – это самые простые торговые паттерны, которые легко заметить и понять – лучший выбор для новичков.

Главные графические паттерны в трейдинге

Одной из распространенных ошибок является игнорирование широкого контекста рынка при анализе графических паттернов. Важно учитывать общий тренд рынка, новостные события и другие внешние факторы, которые могут влиять на ценовые движения. Пренебрежение этими факторами может привести к ложным сигналам и неверным торговым решениям. Уровни поддержки – это уровни цен, на которых ожидается, что спрос на покупку будет превышать предложение на продажу, вызывая возврат цен вверх. Уровни сопротивления, с другой стороны, представляют собой уровни цен, на которых ожидается, что предложение на продажу превысит спрос на покупку, вызывая разворот цен или консолидацию. Давайте начнем с определения, что такое анализ графических паттернов и почему он является важным в трейдинге.

Учитывая общие тенденции рынка и понимая характеристики каждого паттерна, вы можете избежать этих ошибок. Как только вы выбрали свой график, отсканируйте его на наличие потенциальных графических паттернов. Ищите узнаваемые паттерны, соответствующие критериям для паттернов разворота или продолжения, основываясь на их характеристиках и ценовом поведении. Нисходящий треугольник состоит из линии поддержки, которая соединяет два или более нижних пика цены, и наклонной линии сопротивления, которая соединяет более высокие пики цены. Поддержка и сопротивление приближаются друг к другу, образуя форму треугольника.

Технический анализ EUR/USD на 18 марта 2013 г

Ваш выбор временного интервала будет зависеть от вашего стиля торговли и предпочтений. Краткосрочные трейдеры могут сосредоточиться на часовых или дневных графиках, в то время как долгосрочные инвесторы могут проанализировать недельные или месячные графики. Нисходящий клин – обычно возникает после сильного тренда вниз и предполагает, что цены сначала будут колебаться в узком диапазоне, а затем начнут двигаться вверх. Графические паттерны существуют давно и имеют своих последователей, подтверждающих своей графические паттерны карьерой эффективность следования графическим паттернам.

Флаг

Клин формируется при сужении линий тренда и свидетельствует о сокращении диапазона цен. В этом паттерне линии тренда указывают на то, что максимумы и минимумы движутся вверх или вниз с различной скоростью. Симметричный треугольник образуется при наличии нисходящей верхней и восходящей нижней линий тренда, которые имеют примерно одинаковый угол наклона. Он не признается ни бычьим, ни медвежьим паттерном, так как его толкование в значительной степени зависит от контекста, особенно от основного тренда. Этот паттерн рассматривается как нейтральный, указывающий на период временной консолидации рынка. Медвежий флаг формируется во время нисходящего тренда и следует за резким падением цен.

• После того, как трейдер обнаружит определенный паттерн, он может сделать предположение о том, что произойдет дальше.
• По сути, это место неопределенности на рынке, где силы быков и медведей на время уравновешиваются, а затем кто-то из них получает контроль.
• Другими словами, они измеряют расстояние от головы до линии шеи, а затем размещают тейк-профит, чтобы зафиксировать прибыль на этом уровне.
• Однако также важен объем торгов, сопутствующий формированию этого паттерна.
• В этой статье мы рассмотрим ключевые типы паттернов, их особенности и стратегии использования, чтобы вы могли уверенно применять их в своей торговле.

Графические паттерны в трейдинге

Далее этот отрезок, направленный вверх, переносится на отметку пробоя цены. Конечная точка отрезка является потенциальным уровнем фиксации прибыли. Рассмотрим пример «‎бычьей» модели «округлое дно» на четырехчасовом графике акций Coca-Cola Company. После достижения активом уровня поддержки на графике сформировался паттерн «округлое дно», который сигнализировал о смене тенденции на рынке. Сперва, котировки ценной бумаги формируют «левое плечо» в восходящем тренде. Цена практически безоткатно растет, после чего корректируется до ближайшего сильного уровня поддержки, то есть «линии шеи».

Он успешно проходит зону поддержки (область 2), тестирует уровень сопротивления (область 3) и видит отказ (область 4). Затем актив снова пытается пробить уровень сопротивления (область 5), но также не пробивает его (область 6) и снова идет вниз, формируя медвежий тренд (область 7). В этой статье мы даем простое, но подробное объяснение наиболее распространенных графических паттернов – одного из основных элементов технического анализа. Теперь, когда у вас есть пошаговое руководство по анализу графических паттернов, обязательно практикуйтесь и применяйте этот ценный навык в своем путешествии по торговле. Помните, что сочетание знаний с опытом – ключ к успеху на финансовых рынках. Распространенные ошибки при анализе графических паттернов включают игнорирование контекста рынка и неправильную интерпретацию паттернов.

Ордер блок в трейдинге Находим паттерн Смарт Мани

Если блок формируется после сбора ликвидности, он обозначается спец-символами. Треугольник – если блок отработал в верном направлении, крестик – блок не отработал и https://forexby.com/ цена продолжила движение. Если в разворотном месте тень свечи большая, то лучше использовать Rejection Block. Работает по тому же принципу, что и классической блок, если посмотреть на график на таймфрем чуть ниже.

Стратегия Smart Money Трейдинг

Breaker Block – это зона продаж или покупок, которая формируется при продолжении структуры рынка (BOS). Другими словами, это пробитый ордер блок и оттестированный, но уже с другой стороны. Важным отличием от Mitigation Block является то, что происходит изменение рыночного характера (CHoCH). Медвежий ордер блок – это самая высокая свеча (бар) с закрытием вверху, которая имеет наибольший диапазон от открытия до закрытия и находится вблизи уровня сопротивления. Бычий ордер блок – это самая низкая свеча (бар) с закрытием внизу, которая имеет наибольший диапазон от открытия до закрытия и находится вблизи уровня поддержки.

Что такое ордер блок в торговле на рынке Форекс?

Но если у вас есть небольшой опыт, но головёшка иногда подтупливает, вам тоже может быть полезно. Речь пойдет конкретно о Order Block Smart Money (by ICT), их автор подробно рассказывает о них на своем канале, но ведь кому хочется терять время и смотреть кучу всяких видосов, когда есть я. Подписывайся на Youtube-канал, Facebook, Instagram, Telegram или X, где мы публикуем последние новости ATAS. Делись лайфхаками и обращайся за советами к другим трейдерам в Telegram-чате @ATAS_Обсуждения.

Нужно применять все правила одновременно, тогда эффективность работы поордер блокам будет намного выше. Бычий или блок заказов на покупку актива – это самая низкая откатная свеча, снимающая нижнюю ликвидность (стоп-лосс на лонг-позициях). После снятия ликвидности курс актива движется вверх с импульсом. Ордер блоки могут использоваться для защиты от проскальзывания, которое может произойти при исполнении ордера на рынке с высокой волатильностью. Блоки заказов позволяют трейдерам установить предельные значения проскальзывания и минимизировать потенциальные убытки. Ордер блоки могут быть использованы трейдерами для ордер блок это определения уровней входа и выхода из рынка, а также для определения уровней стоп-лоссов и тейк-профитов.

Break of Structure (BoS) – слом структуры, именно после этого момента нужно рассматривать продажи или покупки. Вы можете выявить ордер блоки по паттернам поглощения или зонам консолидации. Используйте прямоугольники для отметки этих ценовых уровней на вашем графике.

• Такой метод входа в сделку является более безопасным и что самое главное может значительно увеличить Риск-Прибыль (RR или Risk/Reward).
• Стрелкой отмечен возврат цены в область Bearish Order Block, который мог быть использован для открытия позиций шорт.
• Основная функция индикатора ордер блоков в трейдинге заключается в определении зон, где находится большое скопление ордеров.
• Не забывайте про тестирование и адаптацию стратегий под текущие рыночные условия, чтобы постоянно совершенствовать свой подход в трейдинге.
• Если тень большая в результате съёма ликвидности, то лучше все жебудет захватить и тень тоже.

Покупать минимумы и продавать максимумы – так действуют представители Smart Money. Если на графике возникло несколько ордер блоков, тогда стоит подумать отом, за каким из них могут стоять позиции толпы (ликвидность). Важно здесь понять направление рынка и направление сдвига ликвидности – об этом писали к примеру, в статье про Смарт Мани. Ордер блок – диапазон цен, где мы можем встретить крупного игрока, которыйрасположил там свои ордера.