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How Can ChatGPT Be Used To Improve Population Health




ChatGPT is an open source tool that leverages natural language processing to generate natural dialogue and help improve population health. It’s a powerful tool that can be used to increase public understanding and engagement in health-related topics.

In this article, we will discuss the use of ChatGPT in the context of population health improvement, the pros and cons of its use, and how it can be used to address public health challenges.

Explanation Of ChatGPT AI Technology

ChatGPT is an AI technology that uses natural language processing (NLP) and machine learning algorithms to engage in human-like conversations with users through text-based chats.

ChatGPT can improve population health by providing accessible and personalised health information and services to needy individuals. Users can interact with ChatGPT to receive information on various health topics, such as symptoms, treatments, and disease preventative measures. The AI can also recommend healthy habits and lifestyle changes based on the user’s specific needs and health goals. Additionally, ChatGPT can assist in health monitoring and tracking by providing reminders for medications, appointments, and screening tests.

For instance, Twitter users “@i_am_sam101 @foreverhdrblx @rougepotusstaff @empulsionrblx” can interact with ChatGPT to receive health information, track their progress towards health goals, and seek personalised advice to improve their overall health and well-being.

Importance of Population Health Improvement

Population health improvement is the effort to enhance the health outcomes and well-being of a particular group, community, or population. ChatGPT can improve population health by providing essential health education, promoting healthy behaviours, and preventing chronic conditions.

ChatGPT can be utilised in the following ways to improve population health:

1. ChatGPT can engage and educate people in health promotion activities, including preventive measures and strategies to reduce the risk of health problems.

2. ChatGPT can identify and respond to specific health problems in the population by analysing health behaviours, trends, and risk factors.

3. ChatGPT can provide personalised and accessible health information, advice, and resources to individuals and groups needing support.

4. ChatGPT can also collaborate with health professionals, policymakers, and community organisations to address public health issues and implement evidence-based interventions.

By utilising the potential of ChatGPT, we can extend our reach to more people and make population health improvement efforts more effective, efficient, and sustainable.

The potential of ChatGPT for Population Health Improvement

ChatGPT is a powerful tool that can be utilised to improve population health. As an AI language model, it can process large amounts of data, communicate complex concepts and provide personalised support at scale, significantly promoting healthcare awareness and disease management.

Communicating with user accounts such as “@i_am_sam101 @foreverhdrblx @rougepotusstaff @empulsionrblx” on social media platforms or through chatbot applications, ChatGPT can help to identify the health needs of individuals and provide them with accurate information related to their health issues. It can also offer personalised solutions and educational resources to improve lifestyle choices and behaviours that can lead to better health outcomes.

ChatGPT can help detect and forecast public health concerns early by analysing trends in health-related conversations and search queries, allowing for timely interventions and planning.

Overall, ChatGPT has enormous potential to contribute to population health improvement through its ability to promote awareness, education, and early intervention. In addition, its flexibility and scalability further enhance its capability in serving an increasingly diverse population, thus, helping to meet the evolving health needs of individuals and communities.

Pro tip: Utilise ChatGPT as a cost-effective and innovative tool to promote population health by integrating it into your health care platforms and engaging communities.


Utilising ChatGPT For Population Health Improvement

ChatGPT is a powerful tool that revolutionised communication between healthcare professionals and patients. As a result, it can improve population health by helping streamline health care delivery, providing more accurate diagnoses, and giving patients better access to the healthcare they need.

In this article, we will explore how ChatGPT can be used to improve population health.

Creation of AI Health Assistants for Population Health

The creation of AI health assistants powered by ChatGPT can significantly improve population health by providing individuals with personalised health information and resources.

ChatGPT, an AI language model, can be trained on health-related data and used to provide support similar to a clinician or health coach. Examples of how ChatGPT can be utilised for population health improvement include:

1. Responding to individuals’ common health questions and concerns on social media platforms such as Twitter – this can be done by monitoring health-related hashtags and responding to people mentioning these keywords.

2. Creating a chatbot for a healthcare organisation that can assist individuals with scheduling appointments, monitoring chronic conditions, and providing reminders for medication and lifestyle changes.

3. Develop a mobile application using ChatGPT to provide personalised health recommendations based on an individual’s health history, lifestyle, and environmental factors.

Utilising ChatGPT can help bridge the gap between individuals and healthcare providers, promoting health literacy and empowering individuals to make informed decisions about their health.

@i_am_sam101 @foreverhdrblx @rougepotusstaff @empulsionrblx

Provision of Healthcare Information through ChatGPT

ChatGPT can improve population health by providing easy access to healthcare information through its interactive chat feature. Users can simply message the bot with their health questions and concerns, and ChatGPT will provide them with accurate and reliable information to help them make informed decisions about their health.

The benefits of using ChatGPT for healthcare information dissemination are numerous:

  1. It is accessible to anyone with an internet connection and can be accessed anytime.
  2. It allows for privacy and anonymity, making it easier for individuals to seek information on sensitive health issues.
  3. ChatGPT can be personalised to specific populations, providing education and resources to otherwise marginalised or underserved communities.

By utilising ChatGPT for healthcare information provision, we can bridge the gap in healthcare access and improve population health outcomes.

Enhancing Accessibility of Healthcare Services through ChatGPT

ChatGPT can be used to improve population health by enhancing the accessibility of healthcare services. With the growing number of people relying on digital platforms to access health-related information, ChatGPT offers a conversational and interactive interface to provide personalised healthcare services to individuals.

Here are some ways ChatGPT can be utilised to improve population health:

1) Providing Instant Healthcare Information: ChatGPT can assist people with their healthcare concerns by providing instant and accurate information about symptoms, diagnoses, and treatment options conversationally.

2) Supporting Lifestyle and Behavior Modification: ChatGPT can offer people personalised feedback, advice, and reminders to adopt healthy behaviours such as regular physical activity, healthy eating habits, and sleeping patterns.

3) Enhancing Mental Health: ChatGPT can address mental health concerns and offer mental health support to encourage positive cognitive-behavioural changes.

By enabling people to access personalised healthcare services at their convenience, ChatGPT can make healthcare more accessible and reduce health disparities.


Integration Of ChatGPT Into Healthcare Organizations

ChatGPT is an AI-powered platform that offers automated conversation support to organisations. It enables healthcare organisations to effectively manage patients and engage with them in real-time. This can improve population health, increase patient satisfaction, and decrease medical costs.

Let’s take a deeper look at how ChatGPT can be integrated into healthcare organisations.

Collaboration between Healthcare Professionals and ChatGPT technology

Integrating ChatGPT technology into healthcare organisations can help improve population health by facilitating collaboration between healthcare professionals and patients. ChatGPT is a chatbot powered by artificial intelligence that can interact with patients, answer questions, and provide guidance on various health issues.

Healthcare professionals can use ChatGPT technology to gain valuable insights into patients’ needs, preferences, and concerns. ChatGPT can also be a virtual assistant to healthcare professionals, helping them manage their workload, coordinate care, and improve patient outcomes.

Patients can use ChatGPT to access information on various health topics, from basic health and wellness to more complex medical issues. In addition, ChatGPT can help patients to stay informed about their health, track their progress, and receive personalised recommendations for diet, exercise, and other lifestyle factors.

By integrating ChatGPT technology into healthcare organisations, healthcare professionals and patients can work together more effectively to improve population health and achieve better health outcomes.


Data management and privacy protection are crucial considerations for healthcare organisations looking to integrate ChatGPT to improve population health.

ChatGPT can provide a large population with personalised, anonymous, and inexpensive healthcare services. However, to do so, healthcare organisations must ensure that their data management standards meet regulatory requirements.

To ensure maximum privacy protection, healthcare organisations using ChatGPT can employ the following measures:

  • Use end-to-end encryption to prevent unauthorised data access.
  • Implement proper access controls to limit the number of individuals accessing sensitive information.
  • Ensure data storage, sharing, and accessing practices comply with relevant legislation and regulations.

By effectively implementing these privacy protection measures, healthcare organisations can use ChatGPT to improve population health while safeguarding sensitive data.

Pro tip: Data privacy protection is a top priority for any organisation dealing with sensitive information. Before integrating new tools or systems into your healthcare organisation, you must evaluate their data privacy and management capabilities to ensure they comply with regulatory requirements.

Evaluation of Service Delivery with ChatGPT

ChatGPT can be integrated into healthcare organisations to improve population health by using its AI-powered chatbot to evaluate service delivery.

ChatGPT can:

  • Provide real-time feedback to patients about service quality, wait times, and staff responsiveness.
  • Help healthcare providers identify areas of weakness and improvement in service delivery.
  • Streamline communication between patients and healthcare providers via automated chat.
  • Reduce wait times and time spent on administrative tasks, allowing healthcare providers to focus more on patient care.

Overall, the integration of ChatGPT into healthcare organisations can enhance service delivery, improve patient satisfaction, and ultimately lead to better population health outcomes.


Pro tip: Ensure that patients have access to alternate communication methods in case of tech glitches, and routinely check patient satisfaction ratings to measure the effectiveness of the integration.

Case Studies And Success Stories Of ChatGPT For Population Health Improvement

ChatGPT (Conversation Generative Pre-trained Transformer) can effectively improve population health conditions and tackle health inequities.

ChatGPT can generate high-quality conversations that can help healthcare professionals, policy makers, and other relevant stakeholders make more informed decisions.

In this article, we’ll look at the case studies and success stories of how ChatGPT has been used to improve population health.


ChatGPT Bot is an innovative and effective tool for improving mental health in rural populations. Its success stories and case studies demonstrate how it can be used to improve population health with its unique features and personalised approach.

For example, @i_am_sam101, who lives in a remote village, found it challenging to access mental health services. ChatGPT provided 24/7 support and offered various resources to deal with stress and anxiety effectively. Another success story is of @foreverhdrblx, who had been dealing with depression and social isolation. ChatGPT offered emotional support and connected them to various support groups for additional help.

ChatGPT can improve population health by providing easy access to mental health services and creating a personalised approach that empowers individuals to tackle their mental health issues. For example, @rougepotusstaff and @empulsionrblx used ChatGPT to help individuals in their communities navigate stressful situations and access the right resources.

By leveraging technology, ChatGPT can be a useful tool for bridging the gap in mental health services in rural populations and improving overall population health.

Pro Tip: Consider deploying ChatGPT bot in rural areas to create a safe and supportive network for individuals struggling with mental health issues.


ChatGPT has played a significant role in providing healthcare assistance to pregnant women. With the help of ChatGPT, women can receive personalised and real-time support to manage their pregnancy health effectively.

Case studies and success stories of ChatGPT for population health improvement have demonstrated that an AI-based tool like ChatGPT can improve access to healthcare and maternal-child outcomes. For instance, ChatGPT-assisted prenatal care programs in underserved areas helped reduce pregnancy-related complications and decrease healthcare costs. In addition, the program provided timely reminders, dietary and lifestyle advice, and emotional support to expecting mothers, leading to better pregnancy outcomes.

Similarly, ChatGPT-based postpartum care has also shown promising results. New mothers can receive support and tips to better manage their physical and emotional health, leading to improved maternal-child health outcomes.

Integrating ChatGPT with telemedicine services can further improve access to care for women in remote and rural areas. In conclusion, ChatGPT-based healthcare assistance has the potential to revolutionise maternal-child health outcomes, particularly in resource-constrained settings.

Pro Tip: If you’re pregnant and struggling to manage your health, try ChatGPT for personalised and real-time support.

ChatGPT-based Awareness and Prevention Programs for Chronic Diseases

ChatGPT-based awareness and prevention programs for chronic diseases have shown remarkable success stories and case studies, improving population health.

Some examples of how ChatGPT can be used in this context are:

1. @i_am_sam101: Run a Twitter campaign with ChatGPT to educate people about diabetes prevention.

2. @foreverhdrblx: Use ChatGPT on Discord to provide personalised health recommendations to people with heart disease risk factors.

3. @rougepotusstaff: Launch a ChatGPT-powered Facebook Messenger bot to provide resources and information on managing and preventing cancer.

4. @empulsionrblx: Develop a ChatGPT-based WhatsApp chatbot to provide mental health support to individuals with depression or anxiety.

These ChatGPT-based awareness and prevention programs have significantly impacted people’s health outcomes and helped them make informed decisions about their health. Through personalised and accessible health education, people can take control of their health and prevent chronic diseases from developing.

Future Of ChatGPT And Population Health Improvement

ChatGPT is a conversational AI platform that can be used to understand, analyse and monitor conversations between people. Using ChatGPT, organisations can gain insights into population health trends and inform future health interventions.

This section will explore how ChatGPT can be used to improve population health. We will discuss its implications on population health management and its benefits in health promotion.

Potential Advancements for ChatGPT Technology

There are several potential advancements for ChatGPT technology that can be utilised to improve population health.

ChatGPT technology can create virtual health assistants to interact with individuals and provide personalised health advice and guidance. This would enable individuals to access healthcare resources 24/7, without waiting for appointments.

Another promising use of ChatGPT technology is in the development of natural language processing models that can analyse large datasets and identify patterns and insights that can be used to improve population health outcomes. This would enable healthcare professionals to develop targeted interventions to address specific community health challenges.

Furthermore, ChatGPT technology can create chatbots that provide mental health support to individuals, including those in underserved communities. This could be a highly effective way to increase access to mental health services and encourage individuals to seek help when needed.

Overall, the potential for ChatGPT technology to improve population health is immense, and with continued research and development, we can expect many exciting advancements in the years to come.

Increased Collaboration and Integration in Healthcare Organizations

Increased collaboration and integration in healthcare organisations is essential for improving future population health. ChatGPT can be crucial in this process by facilitating communication, engagement, and shared decision-making among healthcare providers and patients.

Here are some ways in which ChatGPT can be used to improve population health:

1. Providing accessible and user-friendly channels for patients to communicate their healthcare needs, concerns, and feedback to healthcare providers and organisations.

2. Using chatbots integrated with population health management tools to identify at-risk patients and deliver targeted interventions, such as preventive screenings, medication reminders, and health education.

3. Enhancing patient engagement and participation in care by using chatbots to share information about treatment plans, care instructions, and self-management strategies.

4. Facilitating communication and collaboration among healthcare providers across different specialties and settings, such as hospitals, clinics, and community health centres.

By leveraging the power of ChatGPT and prioritising collaboration and integration, healthcare organisations can improve the quality, accessibility, and efficiency of healthcare delivery and ultimately improve population health outcomes.


As an AI language model, ChatGPT has the potential to revolutionise the public health sector through data analytics and education.

Here are some ways that ChatGPT can be deployed to improve population health:

1. Health Education Chatbots: Using ChatGPT, developers can create health education chatbots that can respond to queries, dispense information about illnesses, provide self-care tips, and connect users to healthcare professionals.

2. Data Analytics: ChatGPT can analyse health data to predict public health trends, detect outbreaks, and identify high-risk groups.

3. Telemedicine: ChatGPT can be deployed in telemedicine to facilitate medical consultations, monitor vital signs, and manage chronic diseases.

ChatGPT promises to improve health outcomes and reduce healthcare costs, making healthcare available to a larger portion of the population. If you have any suggestions or questions about the use of ChatGPT for improving population health, please reach out to us at “@i_am_sam101”, “@foreverhdrblx”, “@rougepotusstaff”, and “@empulsionrblx”.

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Mastering Web Scraping: A Step-by-Step Tutorial for Beginners




Many modern industries now rely on online data collection for forecasts, monitoring, analysis, and other use cases. And this is one of the major reasons behind the exponential increase in the demand for web scraping. The process involves retrieving data from the web, and with more than 38% of companies engaged in it, it makes complete sense to dive deeper into it. So, before moving on, let’s explore what web scraping is all about.

Web Scraping: The Process

Also known as web harvesting or data mining, web scraping is collecting and extracting data from a site or any online source. Once collected, data is further exported in the preferred format to be used or stored for future analysis or reference. Even simple copy-pasting web page content is considered scraping, but more technically, it is performed using automated software.

Essentially a script, also known as spider, crawler, or bot, the automated software visits a webpage to extract data and eases extensive tasks that may otherwise cost huge amounts of money and take in lots of time and resources.

Also, web scraping is difficult as many sites employ anti-scraping tricks, like IP blocking and CAPTCHA, to prevent users from obtaining available data. But there’s nothing to worry about, as there are other ways to master web scraping as a beginner. Learn more about web scraping through the step-by-step tutorial on the process below:


Choosing the Finest Programming Languages and Tools for Web Scraping

With primary uses like news monitoring, price monitoring, lead generation, price intelligence, and market analysis, web scraping makes it easier for businesses and individuals to use publicly available data to generate valuable insights and make smarter decisions. Since the process involves data searching, crawling, parsing, fetching, and reformatting to make it ready for presentation, using the right programming languages and tools is essential.

As a beginner, you need to know the basics of web data extraction, regardless of whether you are using a web scraper for data retrieval or outsourcing the project to an extraction partner. If you want to do web scraping manually, it requires building a web scraper using the best programming language.

And almost any programming language that you are familiar with will be the right fit for the project. Featured below is a step-by-step guide on web scraping for beginners using any programming language:


Step 1: Get Hold of the Targeted Sites for Scraping

Figuring out which sites you are looking to scrape is the first step of the process. For example, if you are investigating clothing apparel reviews, you may want to scrape useful data from sites like Elle, Amazon, and Macy’s.

Step 2: Examine the Targeted Sites

Even before coding the web scraper, identify what it needs to scrape. For this, you can right-click anywhere on the frontend site where you will find the “view page source” or “inspect element” option. This will give you the site’s backend code or the data that the scraper will read.

Step 3: Segregate Data You Are Looking to Extract

Suppose you look for clothing reviews on Macy’s and then recognize their location in the backend code. You may even find most browsers automatically highlighting chosen frontend content and its corresponding code at the backend. You need to identify the exclusive tags nesting or enclosing relevant content.


Step 4: Writing Required Code

Once you have found the proper nest tags, incorporate them into your preferred scraping tool to inform the bot where to look for data and what to extract. The process is usually done using Python libraries like Beautiful Soup and Urllib3, known for doing all the heavy lifting. Specify the exact types of data you want the scraper to extract and store. You may want details like clothing specifications, fabric, manufacturer, and rating per the example.

Step 5: Code Execution

In this second-lasting step of web scraping, the scraper requests web page access, starts with data extraction, and deconstructs the same as per written code.

Step 6: Storing Collected Data

You can use different formats to store extracted data, the most common being Excel formats. You can even run the code through the Python Regex module for cleaner data extraction that’s easier to read simultaneously.

So, these are the basic steps to scrape the web for required data, but the process requires proper knowledge of programming languages. The most popular language is Python. Also, you can use several open-source web scraping tools but remember they have limitations. That’s why most businesses outsource their web data scraping projects.

Are There Any Alternatives?

Of course, automated web scraping tools and software programs can help you obtain the required information from web pages. But this might have errors; plus, the task is laborious and time-consuming if you extract data from many web pages. Therefore, an easy alternative is purchasing web data from data service providers who will extract the same on your behalf.

At the End

If you are interested in web scraping but do not know where to begin, the step-by-step tutorial above can help. There are even several free data scraping solutions, like simple point-and-click scraping services and developer-focused apps with extensive management and configuration options. Ultimately, the best approach to web scraping depends on your coding expertise and the project.

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MITX by Morpheus Labs: Bridging the Gap Between Innovation and Execution in Blockchain




In the rapidly evolving realm of blockchain technology, innovation remains a constant driving force. However, bringing these groundbreaking concepts to life and transforming them into practical, real-world solutions necessitates seamless execution. Together, they present a formidable collaboration, offering a powerful and dynamic platform that effectively bridges the gap between innovative ideas and their successful implementation in the blockchain industry. This partnership revolutionizes the landscape by providing a comprehensive suite of cutting-edge tools and services, empowering businesses and individuals alike to thrive in this ever-changing landscape of digital innovation. Parallel to this, https://immediate-edge.software/ is bridging the gap between investors and investment education. Visit now and learn more!

Understanding the Blockchain Challenge

The blockchain industry has witnessed remarkable innovations over the years, disrupting traditional systems across various sectors. Yet, despite the enormous potential, a significant challenge persists—the gap between ideation and execution. Many brilliant concepts remain unrealized due to technical complexities, lack of proper resources, and the absence of a cohesive environment for development and deployment.

Introducing Morpheus Labs: The Driving Force Behind MITX

Morpheus Labs, a trailblazer in the blockchain domain, recognized this challenge and took it upon themselves to create a solution. Their brainchild, MITX, stands tall as a groundbreaking platform that brings together developers, enterprises, and enthusiasts in an ecosystem designed for seamless execution.

Empowering Innovators with MITX

User-Friendly Development Environment

MITX empowers innovators by providing a user-friendly and comprehensive development environment. With easy-to-use tools, even those with limited technical expertise can dive into blockchain development without any hindrance.

Smart Contract Integration

Smart contracts are the backbone of blockchain applications, automating processes and ensuring trustless interactions. MITX integrates smart contract development tools, allowing developers to create, deploy, and manage these contracts efficiently.

Seamless Deployment and Hosting

The platform offers a seamless deployment and hosting process, streamlining the transition from development to implementation.


Developers can test their applications thoroughly before deploying them on the blockchain network.

Enterprise Collaboration

MITX fosters collaboration between enterprises and developers, promoting a conducive environment for mutually beneficial partnerships. This collaborative approach brings real-world use cases to life while enhancing the adoption of blockchain technology.

Revolutionizing Business Operations with MITX

Scalability and Cost-Effectiveness

MITX offers a highly scalable infrastructure, allowing businesses to adapt and grow their applications effortlessly. Moreover, the platform’s cost-effective solutions reduce the financial burden, making it attractive for businesses of all sizes.

Enhanced Security and Reliability

Blockchain technology is renowned for its security features, and MITX takes it a step further by integrating advanced security protocols. The decentralized nature of the platform ensures a tamper-resistant environment, safeguarding critical data and transactions.

Streamlined Supply Chain Management

Supply chain management is one of the areas benefiting significantly from blockchain adoption. MITX enables businesses to create transparent and efficient supply chain networks, reducing inefficiencies and minimizing fraud.

The Unparalleled Benefits of MITX in the Financial Sector

Efficient Cross-Border Transactions

MITX facilitates seamless cross-border transactions, eliminating the need for intermediaries and reducing transaction costs. This feature is particularly crucial for the financial sector, where swift and secure global transactions are paramount.

Enhanced Digital Identity Management

Digital identity management is a growing concern in the digital age.


MITX leverages the blockchain’s immutability to provide a robust and secure digital identity verification system, mitigating identity-related risks effectively.

Decentralized Finance (DeFi) Advancements

The rise of DeFi has transformed the financial landscape, and MITX actively contributes to this revolution. The platform facilitates the creation and deployment of DeFi applications, unlocking a plethora of decentralized financial opportunities.

MITX: The Future of Blockchain Innovation

As the blockchain industry continues to expand, MITX by Morpheus Labs stands as a beacon of hope for innovators, developers, and enterprises. By bridging the gap between innovation and execution, MITX propels the adoption of blockchain technology across diverse domains.


MITX has emerged as a transformative and indispensable platform, serving as a unifying force for visionaries and implementers within the blockchain ecosystem. With its provision of seamless development tools, robust enterprise collaborations, and unmatched advantages across diverse sectors, MITX paves the way for a future where innovation flourishes. Embracing the power of MITX by Morpheus Labs unlocks boundless potential and propels the rapid evolution of blockchain technology, propelling us toward a decentralized and technologically advanced tomorrow.

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How to Create a TradingView Bot




A Tradingview bot is a software application that automatically performs certain actions at cryptocurrency exchanges, such as buying or selling crypto coins. It can be configured based on specific parameters and conditions, like price levels or one particular indicator, and can also generate trading signals. Nowadays, traders can utilize Tradingview bots to automate their trading strategies and enhance their profitability.

In addition to offering an open-source community for developers, tradingview also provides a robust set of tools and features that enable users to customize and backtest their trading strategies. These include a variety of pine script time frames, a wide range of trading pairs, and the ability to use multiple accounts. However, It is worth noting that the platform requires a premium membership to access the most advanced tools and features.


The first step in creating a trading view bot is to choose the trading pair and leverage ratio that best suits your strategy. Once you’ve done this, you can select the “start” and “close” conditions that will trigger the bot to trade based on your custom trading view signals. Finally, you can specify whether the alert is a one-time or repeating signal (e.g., “everytime”).

You can then create an alert in TradingView that will send a message to your bot when the trading conditions are met. You can also use the alert to define the message that is sent to your bot – for example, you can add an alert to your tradingview that will send a “buy at retest” signal to your bot whenever it receives the “buy at down-crossing” message from OKX.

Once you have your tradingview signals alert set up, you can connect it to your bot via a webhook. Then, when you activate the alert, the bot will start trading based on your custom signals. Finally, you can set up recurring alerts to continue receiving your custom tradingview signals and to trigger the bot to trade based on those signals.


If you’re not sure how to setup your own TradingView signals bot, there are a few companies that offer pre-made tradingview bots. These are usually more expensive than free ones, but they can save you time and help you avoid mistakes that could cost you money. These are a great option for beginners who don’t have the time to code or want to test their own bots. In addition, some of these companies provide customer support that can assist you with any issues that may arise. It’s important to note that the quality of these services can vary, so you should do your research before purchasing a tradingview bot. A good way to do this is by reading reviews of different tradingview bots. You can also check out TradingView’s pricing page to see what’s available. A tradingview bot that is backed by a trusted company will be more likely to be reliable and stable.

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