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● Digital asset prices are subject to high market risk and price volatility. The value of your investment may go down as well as up, and you may not get back the amount you invested. You are solely responsible for your investment decisions and Orange Paola is not liable for any losses you may incur in your trading. Past performance is not a reliable indicator of future performance. You should only invest in products with which you are familiar and for which you understand the risks. You should carefully consider your investment experience, financial situation, investment objectives and risk tolerance and consult an independent financial advisor before making any investment.
It's about turning issues into opportunities.
Optimism, also known as market sentiment, reveals the movements in the financial markets dictated by the psychological perception of determined operations or trades. This could create situations of mispricing, leading investors to lower returns than they expected. These movements in sentiment can conduct price distant from economic fundamentals and pose new research questions. For example, is optimism, and consequently pessimism, a factor of influence in financial markets? Accordingly, investor sentiment, which captures these fluctuations, is increasingly a topic of research relevance.
Several studies have been conducted in order to examine the presence and the effects of sentiment in financial markets. Before of an investment, investors behave differently. According to their propensity to the risk and the future expectations, they are divided into rational and irrational traders. Many individuals, defined irrational, in making decisions underreact or overreact to fundamentals and returns. Therefore, evaluation and decision-making are biased with the result of mispricing, i.e., moving from its fundamental value. Definitions as overconfidence, conservatism, and representativeness can explain the concept, but there is no academic consensus on a theory or a right formula to quantify it. We dedicate the next section to a literature review and discussion on what has been found on the relationship between investor sentiments and stock market returns. ●
"We are here to change that"
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● Technology Behind Cryptocurrencies
The technology that powers cryptocurrencies is called blockchain, which is a distributed and decentralized ledger that records all transactions in a secure and transparent manner. Blockchain uses consensus mechanisms, such as Proof of Work (PoW) and Proof of Stake (PoS), to validate transactions and maintain the integrity of the ledger. Cryptocurrencies also rely on advanced cryptography techniques, such as public-key cryptography, to secure transactions and protect users' privacy. ●
● Types of Cryptocurrencies
Cryptocurrencies can be broadly categorized into three main types: payment coins, utility tokens, and security tokens. Payment coins, such as Bitcoin and Litecoin, are designed to be used as digital currencies for making transactions and storing value. Utility tokens, such as Ethereum and Binance Coin, are used to access and utilize decentralized applications (dApps) and services within a blockchain ecosystem. Security tokens, on the other hand, represent ownership in a real-world asset, such as property or company shares, and are subject to securities regulations. ●
● Advantages and Challenges of Cryptocurrencies
Cryptocurrencies offer several advantages, including faster and cheaper cross-border transactions, increased financial inclusion for the unbanked and underbanked populations, and potential for investment and diversification. They also promote transparency, as all transactions are recorded on a public ledger, and enable innovative use cases, such as decentralized finance (DeFi) and non-fungible tokens (NFTs). ●
● A digital asset is generally anything that is created and stored digitally, is identifiable and discoverable, and has or provides value. Digital assets have become more popular and valuable as technological advances become integrated into our personal and professional lives. Data, images, video, written content, and more have long been considered digital assets with ownership rights.
Most digital items, like a company's brand, can be assigned a value, monetary or intangible. Some digital items might only be valuable to the creator or one person, such as a family picture on your phone taken at a gathering. Others could be valuable to a much wider audience.
In the past, digital assets such as data or scanned documents were owned and used by organizations to realize value. However, when blockchain and cryptocurrency were introduced in 2009, digital assets were again redefined. Anything in digital form became something that could be used to create value via tokenization on a blockchain ●
● A dapp, or decentralized application, is a software application that is built on a blockchain network and operates in a decentralized, peer-to-peer manner. Unlike traditional applications that are hosted on centralized servers and controlled by a single entity, dapps are built on a blockchain network that is distributed across a network of nodes.
Dapps can be used for a variety of purposes, such as online marketplaces, social networks, games, and financial services. They often use smart contracts, which are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code, to automate certain functions and ensure transparency and security.
Because dapps operate on a decentralized network, they are generally more resistant to censorship, hacking, and other forms of interference. They can also offer more privacy and control to users, as they don't rely on a central authority to manage user data or transactions. ●
● AI: The different subfields of AI research are focused on specific goals and the use of specific tools. Traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects. General intelligence (the ability to solve any problem) is among the long-term goals of the field. [11] To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability, and economics. AI also draws on computer science, psychology, linguistics, philosophy, and many other fields. ●