Introduction:
In today's fast-paced digital era, businesses and individuals are constantly seeking innovative ways to streamline processes and enhance user experiences. One such powerful tool that has gained immense popularity in recent times is Glide Apps. Whether you're a seasoned developer or a non-technical entrepreneur, Glide Apps opens up a world of possibilities for creating dynamic and functional applications without the need for extensive coding. In this blog post, we'll explore the ins and outs of Glide Apps, its features, benefits, and how it can revolutionize your app development journey.

What is Glide Apps?
Glide Apps is a no-code platform that empowers users to transform Google Sheets into fully functional web applications. With a simple drag-and-drop interface, Glide Apps enables anyone, regardless of their coding expertise, to create responsive and feature-rich apps that work seamlessly on both mobile and desktop devices. The platform leverages the power of Google Sheets as a backend database, making data management and app maintenance a breeze.

Key Features of Glide Apps:
Intuitive Interface:

Glide Apps provides a user-friendly interface that requires no prior coding knowledge. The drag-and-drop functionality makes app creation accessible to everyone.
Real-time Updates:

Thanks to its integration with Google Sheets, any changes made to the underlying data are instantly reflected in the app. This ensures real-time updates and a dynamic user experience.

Customizable Design:
Users can customize the look and feel of their apps with ease. From colors and fonts to layout and branding, Glide Apps offers extensive design options to create a visually appealing interface.

User Authentication:
Ensure the security of your app with user authentication features. Glide Apps allows you to control who accesses your app and what data they can view or modify.

Rich Media Support:
Incorporate images, videos, and other media seamlessly into your app to create a more engaging user experience.
Benefits of Glide Apps:
Rapid Development:

Glide Apps accelerates the app development process, allowing you to go from idea to a fully functional application in record time.

Cost-Effective:
By eliminating the need for traditional development resources, Glide Apps significantly reduces development costs, making it an ideal solution for startups and small businesses.
Easy Maintenance:

Updates and maintenance are simplified with Glide Apps. Since the backend is managed through Google Sheets, making changes to your app's data or structure is as simple as updating a spreadsheet.

Cross-Platform Compatibility:
Glide Apps are designed to work seamlessly on both Android and iOS devices, ensuring a consistent user experience across different platforms.
Optimizing Glide Apps for SEO:
While Glide Apps streamline the app development process, it's essential to optimize your creations for search engines. Here are some SEO best practices for Glide Apps:

Keyword Research:
Identify relevant keywords related to your app's niche and incorporate them into your Google Sheets and app content.

Metadata Optimization:
Optimize app metadata, including app names, descriptions, and image alt text, to enhance visibility on app stores and search engines.

Quality Content:
Provide valuable and relevant content within your app. This not only improves user engagement but also contributes to better SEO rankings.

Backlinking:
Promote your Glide App on various platforms to build backlinks. This can positively impact your app's authority and search engine rankings.
Social Media Integration:

Leverage social media platforms to promote your app. Social signals can influence search engine rankings.
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Conclusion:
Glide Apps represents a paradigm shift in app development, democratizing the process and allowing individuals and businesses to bring their ideas to life with minimal effort. Whether you're creating a project management tool, a customer portal, or an event app, Glide Apps provides the tools you need for success. By combining the no-code simplicity of Glide Apps with effective SEO strategies, you can ensure that your apps not only function brilliantly but also reach the widest possible audience.

In the ever-evolving landscape of technology, Glide Apps stands out as a powerful enabler of innovation, providing a platform where creativity knows no bounds. Embrace the no-code revolution, and let your ideas soar with Glide Apps.

​Overview:
​In the modern digital landscape, data is king. Organizations of all sizes rely on data-driven insights to make informed decisions and drive growth. ClickHouse and PostHog are two powerful tools that can revolutionize your data analytics pipeline, allowing you to extract valuable insights from your data and optimize your business strategies. In this blog post, we'll dive into what ClickHouse and PostHog are, how they work together, and the benefits they offer for your data analytics endeavors.

Understanding ClickHouse:
ClickHouse is a high-performance, open-source columnar database management system specifically designed for real-time analytical processing. Developed by Yandex, ClickHouse is built to handle massive amounts of data while delivering lightning-fast query performance. It excels at processing complex analytical queries on large datasets, making it an ideal choice for businesses seeking rapid insights.

Key Features of ClickHouse:

1. Columnar Storage: ClickHouse stores data in a columnar format, which optimizes compression and improves query performance. This means that only the necessary columns are read during a query, reducing the overall data retrieval time.
2. Parallel Processing: ClickHouse employs parallel processing to distribute queries across multiple cores, maximizing hardware utilization and speeding up query execution.
3. Real-time Analytics: ClickHouse can handle real-time data streams, making it suitable for applications that require up-to-the-minute insights.
4. Scalability: ClickHouse's architecture is designed to scale horizontally, allowing you to add more servers to your cluster as your data volume grows.

Understanding PostHog:
PostHog is an open-source product analytics platform that helps businesses track user interactions on their websites or applications. With features like event tracking, user session analysis, funnels, and cohort analysis, PostHog provides valuable insights into user behavior, enabling data-driven decision-making to enhance user experiences and drive conversions.
Key Features of PostHog:

1. Event Tracking: PostHog enables you to define and track custom events based on user actions, helping you understand how users engage with your platform.
2. Funnels: Funnels allow you to visualize the user journey, identifying drop-off points and optimizing the conversion process.
3. Cohort Analysis: PostHog lets you group users into cohorts based on shared attributes, enabling you to analyze their behavior and make targeted improvements.
4. User Session Recordings: With session recordings, you can replay user interactions to gain deeper insights into how users navigate your website or app.

Integration Benefits:
Integrating ClickHouse and PostHog offers a seamless data analytics pipeline that combines powerful data storage and real-time analysis capabilities. Here's how these two tools complement each other:

1. Real-time Data Ingestion: ClickHouse's ability to handle real-time data streams pairs perfectly with PostHog's event tracking. You can capture user actions in real time, store them in ClickHouse, and analyze them using PostHog.
2. Scalability: Both ClickHouse and PostHog are designed to scale horizontally. As your user base grows and generates more data, you can effortlessly expand your infrastructure to accommodate the increased load.
3. Deep Insights: ClickHouse's fast query performance allows PostHog to provide instant insights into user behavior, enabling you to make quick decisions to improve user experiences.
4. Custom Analytics: With ClickHouse's flexibility and PostHog's custom event tracking, you can create tailored analytics solutions to address specific business needs.

Conclusion:
In a data-driven world, harnessing the power of analytics is crucial for business success. ClickHouse and PostHog, when integrated effectively, provide a robust foundation for capturing, storing, and analyzing data to extract meaningful insights. By leveraging ClickHouse's high-performance data storage capabilities and PostHog's user-centric analytics features, you can make informed decisions that drive growth, enhance user experiences, and stay ahead of the competition. So, supercharge your analytics with ClickHouse and PostHog today and unlock the true potential of your data.

​Options trading is a complex and dynamic field that requires a deep understanding of market volatility. Accurate modeling of volatility plays a crucial role in pricing options and managing risk effectively. Among the various volatility models available, this blog post aims to explore and compare five prominent models: Yang-Zhang, Rogers-Satchell, Parkinson, Hodge-Stompkins, and Garmann-Klass. By examining their unique features, strengths, and limitations, traders can make informed decisions about which model suits their trading strategies and risk management goals.

Yang-Zhang Model:
The Yang-Zhang model is widely used in options trading due to its simplicity and ability to capture both implied and historical volatility. It employs a hybrid approach that combines the advantages of the GARCH (Generalized Autoregressive Conditional Heteroskedasticity) model and the realized volatility approach. This model has gained popularity for its effectiveness in capturing the volatility clustering phenomenon observed in financial markets.

Rogers-Satchell Model:
The Rogers-Satchell model is a stochastic volatility model that focuses on estimating the volatility of underlying assets. It assumes that volatility follows a mean-reverting process, which allows for better pricing accuracy in options. This model is particularly useful in situations where the volatility of the underlying asset exhibits persistent trends.

Parkinson Model:
The Parkinson model is a popular historical volatility estimator that considers the range of high and low prices over a specified period. It is based on the assumption that the highest and lowest prices observed within a given time frame provide a reasonable estimate of volatility. The Parkinson model is commonly used in options trading, especially for assets that experience high levels of intraday price fluctuations.

Hodge-Stompkins Model:
The Hodge-Stompkins model is a specialized volatility model designed for options on futures contracts. It takes into account the unique characteristics of futures contracts, such as expiration dates and continuous trading. This model incorporates information from both historical and implied volatility to provide traders with a comprehensive view of market expectations.

Garmann-Klass Model:
The Garmann-Klass model is a popular choice for options traders who rely on historical volatility to forecast future price movements. It uses the high, low, and closing prices of the underlying asset to estimate volatility accurately. This model has the advantage of simplicity and ease of implementation, making it suitable for traders who prefer straightforward volatility estimators.

Comparison of Models:
To assess the differences between these volatility models, several factors should be considered:

a. Mathematical Complexity:
Some models, such as the Yang-Zhang model, involve more intricate mathematical calculations, requiring a higher level of computational resources. In contrast, models like the Garmann-Klass model are simpler and more computationally efficient.

b. Sensitivity to Market Conditions:
Each model has its own sensitivity to different market conditions. For example, the Rogers-Satchell model performs well in trending markets, while the Hodge-Stompkins model caters specifically to futures contracts.

c. Volatility Smoothing:
Models may differ in the degree of volatility smoothing they apply to historical or realized volatility data. Some models, like the Parkinson model, place greater emphasis on recent price movements, while others, such as the Garmann-Klass model, take a more balanced approach.

d. Input Data Requirements:
Different models have varying requirements in terms of input data. Some may require more extensive historical data, while others may rely on implied volatility estimates derived from option prices.

Conclusion:
Choosing the right volatility model for options trading is crucial for accurate pricing and risk management. Each of the models discussed - Yang-Zhang, Rogers-Satchell, Parkinson, Hodge-Stompkins, and Garmann-Klass - has its own strengths and limitations

While the labor markets continue to be volatile due to the fact that banking and technology has been laying people off, many individuals, as well as small businesses, may be curious as to all of the programs out there for entrepreneurship in regard to technology cloud services.

Luckily for you, we have listed out some of the partners, with the application links, as well as the business benefits.

1) https://foundershub.startups.microsoft.com/ - Microsoft Azure has been gaining market share, and as of February 2023, Microsoft owns 22% of the total market share. This application if approved, can provide you and your firm up to $150,000 worth of credits for up to three years!

2) https://aws.amazon.com/activate/founders/ - Amazon Web Services was early to market their services, and currently holds  33% of the market share. While the perks aren't as big as Microsoft Azure, it is notable to note that up to $100,000 worth of AWS credits are available to a startup to get your business off the ground

3)https://cloud.google.com/startup - Google cloud currently holds 9% of the market share. Similar to Amazon, the perks aren't as large as Microsoft, but they are still quite generous with $100,000 of free credits for founders.

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This month's post covers an exciting topic that has been talked about quite often: OpenAI. However, many people may not be aware of a useful tool called GitHub Copilot. In this post, we will highlight the top reasons why one might want to use GitHub Copilot, whether it's to increase productivity in a team setting or to accelerate learning how to code as an individual.
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There are several compelling reasons to use GitHub Copilot:

1. It is relatively affordable, at only $100 per year. This price point is significantly lower than what the price of OpenAI's chatgpt is expected to be.
2. GitHub Copilot integrates seamlessly with GitHub, allowing you to easily store and access all of your code in one place.
3. With GitHub Copilot, you can simply type out what you want to achieve and the tool will generate the code for you, saving you time and effort.
4. By utilizing GitHub Copilot, you can streamline your workflow and save time in the development process.
5. Companies can potentially reduce their costs by hiring fewer developers, as GitHub Copilot can help to automate certain tasks."

You can find it at https://github.com/features/copilot

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1) We visited NYC, Silicon Valley, and spoke with different personas in regard to the economic outlook. These individuals had a high net worth and have been around multiple economic cycles.

2) Interestingly enough, one can see that with the rising interest rates, the S&P 500, as well as real estate may have a 20-25% pull-back in the next 2 years.

3) While we all wait for the market to correct, there is an interesting piece of software called https://www.mashvisor.com/ that can find real estate deals when we hit  the bottom of the market.

4) As companies begin to conduct hiring freezes, it's still important to notate that the M1 money supply went up five fold - so cash is sitting out there

​5) Use your time wisely and time this market!

​Legal Disclaimer - We preface these posts in which any investment commentary is not an  endorsement to buy or sell a security, and does not represent our customers opinion. This is just an educational post.

Google Colabatory allows individuals and corporations to install the latest technology via virtualization. Here are the top five reasons individuals, schools, and corporations should leverage Google Colab.

1) Google Colab gives everybody the ability to learn expensive technologies such as apache spark and apache flink, which transforms interpretive programming languages into the JVM, and is horizontally scalable.

2) Without Google Colab an individual would require a large sum of money to setup a cloud server, and best of all, it's free!

3) In the classroom, many students struggle installing IDE's, but love Jupyter notebooks - this product can help the students learn quicker without having to constantly manually install libraries.

4) You can stay on top of the latest technologies because the servers are virtualized, and would cost you no money at all, whereas before it was cost prohibitive.

5) By staying on top of the latest technological trends, one can boost his or her earnings in the classroom as professor, engage students more often, or for those executives in corporate you can better retain your talent and gain a competitive edge.

Everyday prices such as food, housing, and gas have gone up quite substantially in 2022. Food in The United States has gone up about 10% compared to 2021, but some constituents are reporting takeout food pricing increasing by 30%. Similarly, housing has gone up an additional 10% in 2022 largely in part that The United States needs to produce 1.5 million homes per year, and has been unable to do so for over a decade, even in a normal economy. Add in supply chain issues, and raw materials taking an additional six months to ship, one could argue it's a recipe for house prices to be sticky in nature. Additionally, many individuals and corporations refinanced in 2020 to a 2.5% interest rate, and with interest rates rising, it leaves very little motivation for individuals to move out of existing real estate. Since new purchasers cannot afford new housing, the demand for rentals will increase. Additionally, the Federal Reserve continues to raise interest rates, which increases HELOC borrowing costs on landlords, who pass those cost down to consumers. Additionally, the price of oil went negative in 2020, and is currently at unsustainable levels in the long-term. This triple-entente is not good for consumers to spend, on top of corporations tightening the purse strings of a looming recession. One case study many individuals forgot about is when Europe embraced the Euro. When Europe embraced the Euro, many countries such as the Netherlands had their old currency price, but a Euro in front of it with the new currency, which was much higher in value. Real estate will continue to go up, food prices will be sticky, and gas will be back down to normal prices in the next two years. This means that employers will have to pay higher wages in order to attract talent, and many countries not experiencing high food prices, may exhibit a larger immigration influx. Just remember whenever prices are out of whack, like they were with Bitcoin in 2021, they eventually go back down to reality, due to reversion of the mean principle. On the other hand, housing and food prices tend to be sticky (outside of the 2008 crises). It is notable to consider the M1 money supply has not gone down, and increased by 500% from 2020. These prices will be offset by firms cutting spending, consumers cutting spending, and the prices will revert back to the mean at a more acceptable level with the political elections being a catalyst to more sustainable pricing for all.

More often than not, our firm receives a fair number of asks in regards to capital raising, as well as capital introductions. Prior to any firm receiving capital, the founder should be aware that if they are seeking capital from venture capital that he or she needs to understand:

​1) Does the venture capitalist even invest in the area that the company is in? I.e. do not go to a venture capital that does deep tech artificial intelligence investing when your firm is a regulatory agency.

2) Understand at which stage the venture capitalist invests? I.e. SEED, Series A? Do not go into a Series A investor asking for Seed.

3) Understand much capital does the venture capitalists fund have? I.e. $100 million? $10 million?

4) Understand from question #3 how much of that capital has already been deployed? I.e. $10 million/$100 million? This shows if this venture capitalist is just kicking the tires, and not serious.

5) From question #4 also ask them how quickly do they deploy capital? I.e. be prepared to offer them something generous in return or look at it from there perspective in what they would actually invest in.

While these questions are not the exhaustive list, it's also important to notate that many venture capitalists lose money 9/10 times, and there are alternative measures of funding. If you'd like to find out more, please schedule a free consultation with us.