📖Today’s Agenda

• Real Estate: “Navigating China’s Real Estate Market Amidst Economic Challenges”

• Investment: “How to Find New Crypto Projects Before They Blow Up”

• Entrepreneurship: “How To Build Your Own AI Software“

🏢Real Estate

Navigating China’s Real Estate Market Amidst Economic Challenges

China’s economic recovery has hit a stumbling block, as indicated by recent weak economic data, leading to concerns about deflation and the need for policy intervention. This article aims to provide insights into the current economic situation in China and its potential impact on the real estate sector. As investors assess their options, understanding the challenges and potential stimulus measures can help inform strategic decisions.

Economic Challenges and Policy Measures

The Chinese economy has experienced a slowdown, with industrial production, fixed asset investment, retail sales, and trade falling short of expectations. The National Statistics Bureau of China has warned of mounting pressure in domestic structural adjustment. In response, policymakers are contemplating a comprehensive stimulus package, including monetary and fiscal policy measures, as well as potential consumer voucher programs and fiscal deficit increases.

The recent rate cuts by the People’s Bank of China were considered symbolic, signaling the urgency to address the situation. Weak investment data highlights the need for further measures beyond monetary easing. The decline in cumulative property investment in the first five months of the year and the struggle to stimulate private investments demonstrate the limitations of state-led initiatives.

Consequently, analysts expect additional “piecemeal” easing measures in the property sector, potentially including the relaxation of home purchase restrictions, enhanced public housing policies, and improved funding conditions for property developers.

Consumer Confidence and Employment

The high unemployment rate among young people, particularly aged between 16 and 24, has reached a record high of 20.8%, four times the urban jobless rate. Reversing this trend and restoring job security for young individuals is crucial, as they account for nearly 20% of consumption in China. To boost consumption, better job security and income expectations are necessary to foster increased consumer spending.

Consumer sentiment remains a late-cycle variable in China, meaning that improvements in business cycles are required for consumers to feel comfortable spending more. Despite structural issues surrounding youth unemployment, economists believe there is room for policy stimulus to address cyclical issues in the shorter term.

Bridging the output gap, the difference between actual and potential output, is vital for policy stimulus to elevate the economy back to its long-term potential level.

🎯Investment

How to Find New Crypto Projects
Before They Blow Up

Cryptocurrencies have taken the financial world by storm, with Bitcoin leading the way as the pioneer digital currency. However, as the crypto market continues to evolve, it becomes increasingly important to stay ahead of the masses and identify new cryptocurrencies before they explode in popularity.

The Importance of Finding New Cryptos Before They Blow Up

Investing in new cryptocurrencies before they gain mainstream attention can be highly lucrative. Early adopters of Bitcoin, for example, saw their investments grow exponentially over time. Moreover, there are countless stories of everyday people who invested a small amount in promising altcoins and they made a fortune. Such examples are people who invested early in Solana, Phantom, BNB, and other altcoins during the 2021 Bull Run.

By identifying promising new cryptos, you can position yourself to benefit from similar growth opportunities. According to TJ Shedd, CEO of Discover Crypto, “One of the best ways to set someone himself for success, through the bull run that is coming into 2024, is to discover untapped projects with huge potential.”

However, this requires careful research, analysis, and understanding of the market dynamics, because 9 out of 10 new cryptos prove to be a scam.

Where to Find New Cryptocurrencies

There are several platforms and sources where you can discover new cryptocurrencies. One of the most popular places to find new cryptos is on social media platforms such as Twitter, Reddit, and Telegram. These platforms often have dedicated communities and groups focused on discussing and sharing information about emerging cryptocurrencies. By accessing the size of the community, the engagement and the possible presence of influential figures backing the project, you can predict if the coin’s launch will be a success or not.

Another valuable resource for finding new cryptos is cryptocurrency news websites and blogs. These platforms often provide in-depth analysis and reviews of newly launched cryptocurrencies. Through these platforms you can gain insights about the volume of newly released cryptos, the team that has created each project and finally the list of all the wallets that are holding or trading the crypto that you want to invest in.

How to Research New Crypto Coins

According to Coin Bureau, when you come across a new cryptocurrency that catches your interest, it is crucial to conduct thorough research before making any investment decisions. Start by evaluating the project’s whitepaper, which outlines the technology, purpose, and potential use cases of the cryptocurrency. Pay attention to the team behind the project, their track record, and their expertise in the field. Look for partnerships and collaborations that could indicate potential growth opportunities.

However, you should always be aware of misleading white papers that, while seemingly legit on the surface, can easily trap your investment or assets.

Furthermore, analyze the market demand for the cryptocurrency. Consider factors such as the target audience, the problem the cryptocurrency aims to solve, and the potential market size. Assess the competition and understand how the new crypto differentiates itself from existing players in the market. Additionally, evaluate the tokenomics of the cryptocurrency, including its supply and distribution model, as well as any potential token utility or staking mechanisms.

💸Entrepreneurship

How To Build Your Own AI Software

Artificial Intelligence (AI) has become an integral part of our lives, powering various applications that automate tasks, analyze data, and provide intelligent solutions. Before diving into the process of building your own AI software, it’s important to understand the different types of AI software applications available.

Types of AI Software Applications

Machine Learning Applications

Machine learning is a subset of AI that enables computers to learn and make decisions without being explicitly programmed. This type of AI software application is widely used in various domains, such as image recognition, natural language processing, and predictive analytics. Machine learning algorithms are trained on large datasets to identify patterns and make accurate predictions.

Natural Language Processing (NLP) Applications

NLP applications focus on understanding and processing human language. They enable computers to comprehend, interpret, and generate human language, making it possible for chatbots and virtual assistants to communicate with users naturally. NLP applications are used in customer service, information retrieval, and sentiment analysis, among others.

Computer Vision Applications

Computer vision applications involve teaching computers to understand and interpret visual information, such as images and videos. This technology is used in facial recognition systems, object detection, and autonomous vehicles. Computer vision applications can analyze and extract valuable insights from visual data, enabling a wide range of applications in various industries.

Factors to consider before building your own AI software

Building your own AI software requires careful consideration of several factors to ensure a successful implementation. Here are some important factors to keep in mind:

Technical Expertise: AI software development requires a solid understanding of programming languages, machine learning algorithms, and data processing techniques. It’s important to have a team of experienced developers and data scientists who can handle the complexity of AI software development.

Data Availability and Quality: AI software relies heavily on data for training and making accurate predictions. Before building your own AI software, you need to ensure that you have access to relevant and high-quality data. Data collection, cleaning, and preprocessing are crucial steps in the AI development process.

Hardware and Infrastructure: AI software often requires significant computational power and storage capacity. Before building your own AI software, consider the hardware and infrastructure requirements. You may need to invest in powerful servers, GPUs, and cloud services to support the development and deployment of AI models.

Steps to create your own AI software

Building your own AI software can be a complex process, but it can also be a rewarding endeavor. Here are the steps to guide you through the creation of your own AI software:

Step 1: Define Your Objectives

The first thing you need to do when starting your AI Software’s development process is to identify a specific problem that it will solve or a gap in the market that it will fill. It doesn’t have to be something groundbreaking. It will just need to be faster, better, or cheaper than its competitors.

A great example of this first step is Chatsonic, an AI Chatbot created by Samanyou Garg. When ChatGPT launched everyone had the same issue, it was not updated to recent events. Chatsonic solved that problem by providing the market with a chatbot fully updated with the latest events up to 2023.