Upswing

upswing

Bitcoin has always had a rather peculiar relationship with the European Union. Their love-hate relationship has been going on for quite a while now, and we all root for a happy ending. Let’s see how Bitcoin is doing. What would the relationship look like in the future? What will actually happen with this cryptocurrency? Will Europe accept Bitcoin as a completely legitimate currency which will go hand in hand with Euro, or will they reject it as something that cannot be incorporated into the European system? BTC/EUR Current EU regulations Bitcoin is still unregulated. Depending on which school of thought you belong to, this could be either a very positive or pretty negative thing. The point is — regulators from all over the globe are doing their best to provide regulations for all cryptocurrencies. This could open the door to some really significant changes — or it could be Bitcoin’s doomsday. So what is the European Union doing in this regard? Bitcoin has been here since 2008, but the EU waited until 2012 when their . The reason why it took so long is their uncertainty about the importance of Bitcoin (and all the other cryptos that popped up in a short period). first regulations were published The first document that was officially published by the Union was the report about the cryptocurrency proliferation. The document itself may not be an important regulator, but it was vital because it acknowledged the existence of cryptocurrencies and that they were an entirely legitimate currency. In 2012, the EU published something called Virtual Currency Scheme. This was the first time they outlined official regulations for cryptos, and the only difference was that they called them Virtual Currencies. After a couple of ups and downs regarding the EUR and BTC relationship, driven by fear of another Great Depression, things got a bit stable — all until the . Once the EU officials saw that cryptocurrencies could be stolen and hacked, they needed to revise their manifesto and issued a new version of Virtual Currency Scheme, which provided a new perspective on things and imposed stricter regulations. notorious Mt Gox theft We have reached the most important part of this article — how the EU views crypto? The VCS doesn’t consider it a currency at all, yet the governments are able to tax some of the transactions done using cryptocurrency, which puts us in a kind of a paradox position due to the fact that we may have to pay taxes for something that the EU sees as not equal to fiat currencies. That is one pressing problem that continues to be a pain in the neck for many crypto investors, and the other one is the battle for privacy. Cryptos were initially made to be anonymous and private, which made the officials think twice about their nature. At the moment, there is an ongoing debate whether the EU should have an insight into all transactions in order to stop terrorist activities and illegal transactions from happening (such as buying weapons, drugs, and more). Future EU regulations The EU has a team of experts that call themselves the FinTech Task Force and they are doing their best to introduce cryptocurrencies to the system and make all parties content, but it has proven to be tilting at windmills so far. Instead, most of the job is done by individual members of the EU, and some has made significant progress in that matter. Future crypto regulations in the EU are also dependent on GDPR. Remember May 2018? It was a turbulent time when basically all websites with which you had been registered sent you a privacy policy update. That was all due to the sudden to data protection, and as such, this regulation couldn’t but impact cryptocurrencies either. However, the way GDPR and cryptos would cooperate (or not cooperate) is still relatively unknown, and there is a lot that has to be done before everything is put in motion. changes that GDPR had brought What is the overall sentiment towards Bitcoin? On the other hand, Bitcoin has not been doing that great lately. The average price for a single unit of the most popular cryptocurrency is barely €3,400, which is a bit better in comparison to last month but a massive downfall in contrast to this period last year. What can we expect from Bitcoin in the future? Unfortunately, people are losing faith in Bitcoin overall. If you listen to one group of investors, they will tell you that it is the perfect time to act and buy this cryptocurrency as the upward swing is definitely going to happen in the future just like it happened . Others claim that Bitcoin is rolling into the abyss from which there is no return. The truth is — we cannot really determine with certainty what to do, but Bitcoin is here to stay regardless of its price. It has been incorporated into society, and there is no need to worry about that. The right question is — how much will it cost? in December 2017 Conclusion But what about BTC’s relationship with EUR? Well, it has been similar to other fiat currencies. Whenever a change is made, all other fiats follow. So far, nobody can predict what is going to happen. In other words, the future is always uncertain, especially with cryptocurrencies. But let us give you a piece of advice — research! The Internet is filled with bits and pieces that are extremely important for people who follow Bitcoin and other cryptocurrencies. Furthermore, you now have a crucial insight into the regulations that EU imposed on Bitcoin and other cryptos. That could be your way to dig deeper into the study and see where it can all potentially go from here. Make your investment decisions that are based on thousands of opinions rather than one or two blog posts.

BTC to EUR Forecast — Time for Another Upswing?

Lucas Hoffman, CTO at 0xProcessing, a crypto payment gateway for businesses with Web3 integration, uncovers the dependence of crypto transaction volume on market conditions, the popularity of auto-conversion into stablecoins, and calculates the share of BTC in crypto processing. Q: The cryptocurrency market is going through a big upswing again. Bitcoin recently reached a new high, and other cryptocurrencies are also doing well compared to last year. Has this affected the crypto processing market? How did the volume of payments change? This question is not about the dollar equivalent of TRX volume, which obviously went up just because the exchange rate grew sharply. 0x: The number of payments made through crypto payment gateways has been growing lately every year. Of course, when the price of Bitcoin goes up, more businesses become interested in accepting crypto payments. But even during the tough times for crypto in 2022-2023, we saw more people using crypto payment gateways. Our data shows that in the first quarter of 2021, over 200 thousand transactions went through 0xProcessing. By the end of the first quarter of 2022, even though Bitcoin's price dropped, we had already processed 1.5 million transactions. By the end of 2023, over 3.5 million transactions had been completed through 0xProcessing. By this April, 0x processed over 4.5 mln of transactions. The number of merchants has risen to 400+. This shows that more and more people want to use crypto for payments, both businesses offering it on their websites and users making the payments. Q: 0x was launched in 2020 supporting 5 blockchains and 15 coins. Now, it supports 13 blockchains and over 50 cryptocurrencies. Which blockchains are the most popular in B2C payment? Where do regular users have the most transactions? 0x: Among the most popular cryptocurrencies are BTC, ETH, BNB, DOGE, LTC, DASH, SOL, alongside stablecoins like USDT and DAI. When it comes to blockchains, users tend to favor networks with low fees, such as BNB Chain, TRON, and DOGE. Q: So, Bitcoin isn't the top choice for most merchants? 0x: Bitcoin holds a unique position. Due to its widespread use, merchants typically prioritize accepting Bitcoin payments. Consequently, despite its higher fees compared to other blockchains, Bitcoin still accounts for a significant share of crypto processing. According to our internal statistics, currently, transactions in BTC account for 26% of overall turnover through 0xProcessing. Q: What merchants are the main users of crypto payment gateways? 0x: Cryptoprocessing is particularly favored by merchants who operate globally, especially those in the virtual space, owing to its advantages in speed, low fees, and ability to handle international transactions. For example, VPN services, such as Eva VPN which operates globally and has hundreds of secure VPN servers around the world. Q: Why do businesses show interest in crypto payments despite the volatility of cryptocurrencies? 0x: Businesses such as gaming and betting platforms, subscription services, and global merchants seek fast electronic payments worldwide, beyond the confines of specific countries or regions. Their users require quick account replenishment, and crypto processing proves to be a much more convenient and faster method than traditional payment systems or bank transfers. The issue of cryptocurrency volatility in processing is not a problem anymore. Particularly, 0xProcessing addresses the volatility issue with its Volatility Risk Control System service. This service automatically converts crypto received as payment to stablecoins, safeguarding assets from market fluctuations. Merchants can choose the portion of crypto to convert into stablecoins and which share of the payment to retain as crypto. Q: Do merchants prefer immediate conversion to stablecoins upon receiving payments, or do they hold part of their assets in cryptocurrency? 0x: The preference for automatic conversion to stablecoins depends on market conditions. During bear markets, merchants tend to increase automatic conversion amounts to shield against cryptocurrency depreciation. Conversely, amidst recent bullish trends, the share of auto-conversion has notably declined. Merchants, akin to crypto investors, favor HODLing, anticipating enhanced profitability through the appreciation of accepted coins. Q: Can you compete with the large crypto processing companies in the market? 0x: In some cases, being affiliated with a major crypto exchange or belonging to a large holding can actually be detrimental to crypto processing. Crypto processing is inherently personal. Each merchant has unique needs and specific requests. A one-size-fits-all solution, like a generic product on a supermarket shelf, often falls short. Merchants require fast, simple, and cost-effective solutions tailored to their individual requirements. At 0xProcessing, we've embraced this personalized approach to client relationships. Our technical support team is available round-the-clock, ensuring prompt assistance. We take pride in our swift response times, with queries typically answered within 60 minutes. Additionally, our APIs are designed for easy customization, requiring no specialized programming knowledge, thus empowering merchants to configure them according to their preferences. Finally, the introduction of Web3 into crypto processing is our unique offer. Almost no one has anything like this on the market. Q: In 2021, 0xProcessing introduced Web3 wallet integration. How does this change crypto payment processing, and why is it considered more secure? 0x: With Web3 wallet integration, crypto payment processing becomes more streamlined and secure. This approach enables direct connection with users' Web3 wallets, enhancing security by minimizing intermediaries and facilitating seamless transactions directly from users' wallets. Lucas Hoffman, CTO at 0xProcessing, a crypto payment gateway for businesses with Web3 integration, uncovers the dependence of crypto transaction volume on market conditions, the popularity of auto-conversion into stablecoins, and calculates the share of BTC in crypto processing. Lucas Hoffman, CTO at 0xProcessing, a crypto payment gateway for businesses with Web3 integration, uncovers the dependence of crypto transaction volume on market conditions, the popularity of auto-conversion into stablecoins, and calculates the share of BTC in crypto processing. Lucas Hoffman, CTO at 0xProcessing , a crypto payment gateway for businesses with Web3 integration, uncovers the dependence of crypto transaction volume on market conditions, the popularity of auto-conversion into stablecoins, and calculates the share of BTC in crypto processing. 0xProcessing 0xProcessing Q: The cryptocurrency market is going through a big upswing again. Bitcoin recently reached a new high, and other cryptocurrencies are also doing well compared to last year. Has this affected the crypto processing market? How did the volume of payments change? This question is not about the dollar equivalent of TRX volume, which obviously went up just because the exchange rate grew sharply. Q: The cryptocurrency market is going through a big upswing again. Bitcoin recently reached a new high, and other cryptocurrencies are also doing well compared to last year. Has this affected the crypto processing market? How did the volume of payments change? This question is not about the dollar equivalent of TRX volume, which obviously went up just because the exchange rate grew sharply. 0x: The number of payments made through crypto payment gateways has been growing lately every year. Of course, when the price of Bitcoin goes up, more businesses become interested in accepting crypto payments. But even during the tough times for crypto in 2022-2023, we saw more people using crypto payment gateways. Our data shows that in the first quarter of 2021, over 200 thousand transactions went through 0xProcessing. By the end of the first quarter of 2022, even though Bitcoin's price dropped, we had already processed 1.5 million transactions. By the end of 2023, over 3.5 million transactions had been completed through 0xProcessing. By this April, 0x processed over 4.5 mln of transactions. The number of merchants has risen to 400+. This shows that more and more people want to use crypto for payments, both businesses offering it on their websites and users making the payments. Q: 0x was launched in 2020 supporting 5 blockchains and 15 coins. Now, it supports 13 blockchains and over 50 cryptocurrencies. Which blockchains are the most popular in B2C payment? Where do regular users have the most transactions? Q: 0x was launched in 2020 supporting 5 blockchains and 15 coins. Now, it supports 13 blockchains and over 50 cryptocurrencies. Which blockchains are the most popular in B2C payment? Where do regular users have the most transactions? 0x: Among the most popular cryptocurrencies are BTC, ETH, BNB, DOGE, LTC, DASH, SOL, alongside stablecoins like USDT and DAI. When it comes to blockchains, users tend to favor networks with low fees, such as BNB Chain, TRON, and DOGE. Q: So, Bitcoin isn't the top choice for most merchants? Q: So, Bitcoin isn't the top choice for most merchants? 0x: Bitcoin holds a unique position. Due to its widespread use, merchants typically prioritize accepting Bitcoin payments. Consequently, despite its higher fees compared to other blockchains, Bitcoin still accounts for a significant share of crypto processing. According to our internal statistics, currently, transactions in BTC account for 26% of overall turnover through 0xProcessing . 0xProcessing 0xProcessing Q: What merchants are the main users of crypto payment gateways? Q: What merchants are the main users of crypto payment gateways? 0x: Cryptoprocessing is particularly favored by merchants who operate globally, especially those in the virtual space, owing to its advantages in speed, low fees, and ability to handle international transactions. For example, VPN services, such as Eva VPN which operates globally and has hundreds of secure VPN servers around the world. Q: Why do businesses show interest in crypto payments despite the volatility of cryptocurrencies? Q: Why do businesses show interest in crypto payments despite the volatility of cryptocurrencies? 0x: Businesses such as gaming and betting platforms, subscription services, and global merchants seek fast electronic payments worldwide, beyond the confines of specific countries or regions. Their users require quick account replenishment, and crypto processing proves to be a much more convenient and faster method than traditional payment systems or bank transfers. The issue of cryptocurrency volatility in processing is not a problem anymore. Particularly, 0xProcessing addresses the volatility issue with its Volatility Risk Control System service. This service automatically converts crypto received as payment to stablecoins, safeguarding assets from market fluctuations. Merchants can choose the portion of crypto to convert into stablecoins and which share of the payment to retain as crypto. Q: Do merchants prefer immediate conversion to stablecoins upon receiving payments, or do they hold part of their assets in cryptocurrency? Q: Do merchants prefer immediate conversion to stablecoins upon receiving payments, or do they hold part of their assets in cryptocurrency? 0x: The preference for automatic conversion to stablecoins depends on market conditions. During bear markets, merchants tend to increase automatic conversion amounts to shield against cryptocurrency depreciation. Conversely, amidst recent bullish trends, the share of auto-conversion has notably declined. Merchants, akin to crypto investors, favor HODLing, anticipating enhanced profitability through the appreciation of accepted coins. Q: Can you compete with the large crypto processing companies in the market? Q: Can you compete with the large crypto processing companies in the market? 0x: In some cases, being affiliated with a major crypto exchange or belonging to a large holding can actually be detrimental to crypto processing. Crypto processing is inherently personal. Each merchant has unique needs and specific requests. A one-size-fits-all solution, like a generic product on a supermarket shelf, often falls short. Merchants require fast, simple, and cost-effective solutions tailored to their individual requirements. At 0xProcessing , we've embraced this personalized approach to client relationships. Our technical support team is available round-the-clock, ensuring prompt assistance. We take pride in our swift response times, with queries typically answered within 60 minutes. Additionally, our APIs are designed for easy customization, requiring no specialized programming knowledge, thus empowering merchants to configure them according to their preferences. 0xProcessing 0xProcessing Finally, the introduction of Web3 into crypto processing is our unique offer. Almost no one has anything like this on the market. Q: In 2021, 0xProcessing introduced Web3 wallet integration. How does this change crypto payment processing, and why is it considered more secure? Q: In 2021, 0xProcessing introduced Web3 wallet integration. How does this change crypto payment processing, and why is it considered more secure? 0x: With Web3 wallet integration, crypto payment processing becomes more streamlined and secure. This approach enables direct connection with users' Web3 wallets, enhancing security by minimizing intermediaries and facilitating seamless transactions directly from users' wallets.

0xProcessing: BTC Accounts for 26% of All Transactions Through Payment Gateway

This paper is available on arxiv under CC 4.0 license. Authors: (1) Qin Wang, CSIRO Data61, Australia; (2) Shiping Chen, CSIRO Data61, Australia. Table of Links Abstract & Introduction Ethereum Accounts Account Abstraction Security Analysis Further Discussions Conclusion & References Abstract Ethereum recently unveiled its upcoming roadmap’s Splurge phase, highlighting the integration of EIP-4337 as a foundational standard for account abstraction (AA). AA aims to enhance user accessibility and facilitate the expansion of functionalities. Anticipatedly, the deployment of AA is poised to attract a broad spectrum of new users and ignite further innovation in DApps. In this paper, we elucidate the underlying operating mechanisms of this new concept, as well as provide a review of concurrent advancements in accounts, wallets, and standards related to its development. We step further by conducting a preliminary security evaluation to qualitatively assess the extent of security enhancements achieved through AA updates. —Ethereum, Account Abstraction, EOA Index Terms I. INTRODUCTION Accounts within the Ethereum ecosystem [1] serve as the bedrock for asset querying, storage, and transactions, constituting a pivotal element of its infrastructure. However, the present account design poses challenges for Web2 users due to its complicated design. Ethereum classifies accounts into two types [2], namely, externally owned accounts (EOA) and contract accounts (CA)[1]. EOA is controlled by private keys held by its creators or users. Contract accounts are controlled by codes without the involvement of private keys (Fig.1). The reliance on private keys makes these two accounts act in different roles: EOA can prove the validity of a transaction and trigger the state transition in CAs but with limitations: • Expense: The functioning of the contract wallet necessitates initiation by an EOA, essentially entailing a contract invocation. Every transaction within this process incurs an extra 21,000 Gas cost, which includes charges for ECDSA signature verification, Nonce value verification, and ensuring adequate account balance. • Elevated barrier: EOAs must possess a substantial ether balance to cover Gas expenses (involving management of two separate accounts), or alternatively depend on a Relayer to manage Gas payments, potentially introducing centralization concerns. • Flunction: In addition to the fee in ether (ETH), users are consequently required to hold ether, which exposes them to the potential volatility of its price. • User perception: From a user’s perspective, grasping the nuances of gas price, gas limit, and transaction congestion is far from straightforward. The effort to integrate two distinct types of accounts while preserving their core functionalities has been a longstanding subject of deliberation within Ethereum communities. Two primary technical pathways have come to the forefront. • EOA delegates control to smart contracts, in which the contract logic can inplement the core functionalities from EOA transactions such as gas payment (e.g., EIP[2] -3074). • EOA accounts are designed to be armed with several key functionalities from smart contracts (EIP-4337). The concept of account abstraction (AA), indexed by EIP4337 [3], aligns with the second approach, aiming to bestow EOA with the programmable functionality akin to CAs. The incorporation of EIP-4337 into the present roadmap [4] signifies Ethereum’s definitive stance in these dual directions. By adopting AA updates, Ethereum sidesteps the potential hurdle of transitioning existing users. This is attributed to its implementation on the application layers rather than the consensus layer, which inherently offers robust backward compatibility capabilities. Ethereum transactions are required to emanate from EOAs, which are typically accessed through various wallets like MetaMask, Phantom, and Rainbow. The account abstraction approach ensures the retention of current users while empowering them with an effortless means of engaging with smart contracts. Beyond that, the functionalities elucidated in EIP-4337 can be further applied across Ethereum-compatible blockchains, including platforms such as BNB Chain (formerly BSC), Polygon, Avalanche, Optimism, Arbitrum, and Base (also refer to Sec.III-D). As of August 2023, a sequence of indicators[3] highlights the escalating attention garnered by this impactful concept. The cumulative count of active accounts has reached 739,295, and the aggregate count of successfully executed UserOperations (detailed explanations refer to Sec.III) has reached 1,307,197. In addition, the total number of bundled transactions has amounted to 1,197,871. Besides, in August, a remarkable upswing is observed across various market indicators compared to previous months (starting from March 2023, which marks the launch of EIP-4337): The count of monthly active EIP4337 smart accounts has surged to an impressive 420k (inclusive of all platforms). The earnings from monthly revenues and UserOperation fees have surpassed 24k and 220k respectively. Notably, the monthly tally of successfully executed UserOperations stands at 710k, while the gas expenses covered by paymasters have exceeded $360k USD Given its nascent stage, only a limited number of studies have delved into this emerging concept. We are aligned with the growing momentum surrounding account abstraction and further expand the boundaries of its research landscape. In particular, Our attempts. (Sec.II&III). We conduct a thorough exploration of diverse resources, including academic literature, blogs, forum discussions, and Git repositories. Drawing from such analyses, we offer a coherent and succinct elucidation of the fundamental concepts and operational mechanisms of account abstraction. • Concept refinement (Sec.IV). We further delve into the security risks that may exist in AA. Delving into historical contract and account-related vulnerabilities, we construct a framework (Tab.III) to engage in a proper discussion about the security implications of this account paradigm. • Security framework (Sec.V). Additionally, we provide more discussion about the principle of account abstraction designs and potential opportunities inspired. • Further discussion Our security discussion (majorly Sec.IV) led to the following insights. It is evident that integrating AA into current account systems can alleviate a multitude of vulnerabilities in both contract usage and block creation domains. However, AA’s effectiveness remains limited when addressing intrinsic aspects of solidity language and design intricacies, such as structural elements, configuration constraints, and verification mechanisms. Upon further analysis, we have identified that AA’s strength in fortifying security arises from its decoupling of key account abstraction components. By reallocating functions previously encompassed within accounts, AA can protect against numerous vulnerabilities in Ethereum’s application layer: critical functions like gas payment mechanisms are seamlessly transferred to the paymaster, avoiding vulnerabilities related to gas fees; the intricate process of transaction packaging now benefits from the management of bundler; and complex trading and swapping operations, previously reliant on CEX or DEX, are elegantly executed within the same transaction. The decoupling process has reduced the threat that was heavily dependent on contract functions. thereby increasing the overall security quotient. Security results. The Ethereum official documentation [4] has introduced formal documentation detailing its account abstraction concept and roadmap that is accompanied by a suite of relevant standards, encompassing EIP-2771, 4337, 2938, and 3047. Notably, EIP-4337 encapsulates the central concept driving this transition. In a study by Singh et al. [6], an initial exploration into the Ethereum account abstraction is provided, outlining its distinctive features and functional methodologies. Binance Research [7] has released an insightful analysis that delves into recent market trends and noteworthy advancements within this area. Based on these contributions, a range of media sources [8]–[11] have embarked on elucidating this intricate concept, offering surrounding insights and explanations. Besides, several studies have initiated the development of on-top solutions aimed at addressing various challenges within the Web3 ecosystem [12], such as address incompatibility [13]. Available resources. [1] Across several documents, the term smart contract account has been used interchangeably to denote the same concept within the context of this paper. [2] Ethereum Request for Comment (ERC) is one type of Ethereum Improvement Proposals (EIP) that requires on-chain agreements. Throughout this paper, we use EIP to refer to all standards for the sake of simplicity. [3] Dune Analytics https://dune.com/niftytable

Account Abstraction, Analysed: Abstract & Introduction

Just as mobile apps and social media revolutionized the consumer experience more than a decade ago, now artificial intelligence (AI) is set to shake up enterprises. Over the years, businesses have come to rely heavily on technology to facilitate communications, enhance productivity, and drive innovations. Today, the integration of AI into business operations promises even greater potential. It's worth noting that numerous groundbreaking technologies of the past have traced a similar trajectory: initial recognition, excitement culminating in the hype, a gentle letdown when the hype confronts reality, and then a meteoric rise once the technology breaches a critical threshold and demonstrates its value. This trajectory mirrors the advancement of generative AI but at an unprecedented, breakneck speed. ChatGPT was officially unveiled to the public on November 30, 2022, primarily as a techno-demonstration. A mere two months post-launch, it already had an impressive user base of approximately 100 million active users, earning the title of the fastest burgeoning consumer application in recorded history. From then on, generative AI has sustained a rapid pace of progress, with the advent of multiple new tools and applications showcasing the enormous capacity of this technology to revolutionize how individuals conduct their lives and professional activities. Moreover, a recent survey conducted by Salesforce underscores the prevailing sentiment among IT leaders, with that generative AI is anticipated to play a significant role in their organizations in the future. This technological advancement enables organizations to derive greater value from their extensive data pools and streamline labor-intensive processes such as transcription of meeting notes and management of consumer inquiries. These prospects for enhanced efficiency have instigated a competitive rush among businesses to leverage AI. According to an analysis by McKinsey, generative AI is poised to add a value of $2.6 trillion to $4.4 trillion annually, primarily by enriching customer experiences, innovating research methodologies, and facilitating task automation. Furthermore, Salesforce anticipates generating over . 86% asserting $2 trillion in business revenue and creating approximately 11.6 million jobs from 2022 to 2028 Notably, AI adoption is not limited to just tech giants or innovators anymore. Businesses of all sizes and across industries are recognizing the potential of AI solutions to transform their operations. Whether it's improving supply chain management and forecasting, optimizing resource utilization, or delivering personalized customer experiences, AI is becoming a valuable asset across the business spectrum. Now decides next: The swift rise of generative AI The period of innovation that took off around 2007 made use of social media and app stores to help companies achieve scale in the consumer market, but this time is different. They were the engines of growth, brand visibility, and user acquisition, as entrepreneurs and innovators raced to tap into the ever-expanding digital marketplace. However, this time, the narrative has taken a turn. While social media networks and app stores continue to play a significant role in consumer engagement, the generative AI boom is redirecting the focus toward the engine rooms of enterprises, making people and processes radically more productive. Unlike the prior wave that saw AI-generated content as the front-rank innovation, the present technological tide is characterized by deep learning algorithms and AI systems that are increasingly sophisticated and accessible. AI is changing how products are designed, how customer data is analyzed, and how decisions are made. Enterprises are turning to AI to optimize supply chains, forecast market changes, automate administrative tasks, personalize customer service, and improve cybersecurity. This distinction is crucial: the present era is less about reaching the consumer directly and more about enhancing the fundamental capabilities of businesses to serve those consumers more effectively and efficiently. It's a shift from consumer-facing front-end innovations to backend process optimizations that can bring about more profound and lasting transformations across industries. Enthusiasm for generative AI solutions is still surging, and significant transformations are anticipated within the next three years. Yet, this excitement is not without its apprehensions, as also express a sense of uncertainty. 30% of IT leaders Some anticipate that generative AI will catalyze profound changes within their enterprises and respective sectors in the next three years—remarkably, almost a third are foreseeing significant transformations to either unfold presently (14%) or within a timeframe shorter than one year (17%). There is a trend where many enterprises are gearing up to escalate their applications of AI, pivoting towards a more substantial integration of generative technologies. This reflects the broader market dynamics, where firms globally are quickening their pace, advancing from experimental proof-of-concept stages to broader, more ambitious deployments. These deployments span diverse use cases and data types, with companies seeking to seize the swiftness and value that generative AI promises, all while judiciously navigating its potential risks and societal ramifications. Measuring business value and benefits of generative AI Companies all around continue to discover innovative, practical applications for the technology, far surpassing the realm of artificial chatbots. Businesses aren't just using generative AI for operational tasks. The technology is also being adopted in traditionally people-driven roles, such as sales and marketing, with resounding success. Current generative AI efforts remain more focused on efficiency, productivity, and cost reduction than on innovation and growth. A significant portion of organizations are currently harnessing generative AI for practical gains such as enhancing efficiency and productivity (56%) and lowering costs (35%). This trend aligns with historical precedents associated with tech adoption phases. In the early stages, organizations typically prioritize subtle enhancements to their existing processes and services, picking off the low-hanging fruit, while fortifying their understanding, proficiency, and assurance in the nascent technology. As their expertise evolves, they broaden or recalibrate their focus towards more innovative, strategic, and transformational advancements—putting the novel technology to work for driving growth, gaining a competitive edge, and unlocking new capabilities that were previously inconceivable. Leaders with higher levels of AI proficiency demonstrate earlier indications of ascending this curve, being keener on revealing new concepts and insights. Even so, these practical advantages continue to remain their primary focus. Unquestionably, productivity and efficiency can be metamorphic, especially when contemplating the significant scale that generative AI brings to the table. However, the most substantial benefits and strategic differences will potentially emanate from using the technology as a catalyst for innovation. On one hand, it can aid in devising new products, services, and functionalities that would have been unimaginable otherwise. On the other hand, it can foster new business paradigms and workflows throughout an organization, thereby redefining the way businesses function. As has been the case in the past, organizations are predicted to first focus their efforts on enhancing efficiency, augmenting productivity, saving costs, and pursuing other forms of gradual improvements. This approach is expected to aid the workforce in acclimating to the use of generative AI and demonstrating how this technology can simplify their professional roles. Moreover, initial successes will likely yield cost benefits and stimulate a momentum that can be redirected toward pursuing higher-value areas. This could involve more strategic and distinctive endeavors, like facilitating the creation of novel products, services, and business models. Not to mention, it paves the way for innovative work methods that were impractical before the advent of generative AI. Reflecting the focus on immediate gains from generative AI, are currently leaning heavily toward readily available solutions. They're tapping into: the majority of companies : These applications are aimed at enhancing everyday efficiency by automating routine tasks and processes. Productivity Tools with Generative AI Integration : These platforms are typically used across organizations to improve various business functions by leveraging AI's data processing and analysis power. Enterprise Systems with Generative AI Capabilities : Such applications are designed to be broadly applicable, aiding a wide range of industries and sectors with generalized tasks. Standard Generative AI Applications : Platforms like ChatGPT exemplify public LLMs, known for their versatility in language processing, capable of diverse applications like conversation, content generation, and more. Public Large Language Models (LLMs) like ChatGPT On the flip side, there's less enthusiasm for the more niche, customized generative AI tools, including: : These are specialized solutions intended for particular sectors, offering tools that align more closely with unique industry demands and vocabularies. Industry-Specific Software Applications : Organizations may opt for private LLMs to tailor language processing capabilities according to their proprietary needs or for enhanced data privacy. Private Large Language Models (32%) : It's a bit of DIY in the AI world, taking publicly available open-source LLMs and modifying them to fit their specific business requirements more closely. Customized Open-Source LLMs (25%) The prevalent reliance on generic, out-of-the-box solutions aligns with the present, emergent phase of generative AI integration, with a strong emphasis on streamlining and augmenting the productivity of conventional operations. Nevertheless, as the applications for generative AI branch out — becoming more distinct, specialized, and strategically imperative — it is anticipated that the strategies for development and the supporting tech infrastructures will evolve accordingly, embracing a more bespoke approach to deliver greater competitive advantage and value generation. What’s the change? Generative AI may not possess the ability to rapidly build a large user base like social media platforms or mobile apps, but it is bringing about a unique change—one that is transforming large organizations from within. It’s all about transforming how large organizations operate from the inside out, making every task more efficient and boosting overall productivity. Unlike consumer-centric technologies, generative AI doesn't construct an external user platform; instead, it builds an internal one, bolstering the backbone of organizations. This helps free up employees to engage with more challenging, valuable work. And it doesn’t stop there. AI-powered analytics can dig into the deep sea of data an organization produces, pulling out valuable insights and trends. The kind that can shape and guide strategic decisions, leading the business down a more profitable path. , reducing the workforce's mundane load and freeing up time for higher-value work. AI-powered analytics can sift through vast amounts of data to generate insights that inform strategic decision-making, consequently steering the company towards more profitable paths. It can revolutionize customer service by deploying chatbots for instant query resolution, elevate human resource functions with predictive hiring and talent analytics, and improve the supply chain with predictive logistics. AI models can automate routine tasks The point to emphasize here is that generative AI isn't about displacing human effort; it is about enhancing it. It's about 'augmentation' rather than 'automation.' It’s a tool that empowers the workforce to be more creative, strategic, and efficient, driving a significant upswing in productivity. The ultimate triumph of generative AI in the enterprise context is that it manifests the power to transform large organizations by enhancing the efficacy of their most valuable asset - people. It fosters a culture of collaborative intelligence where human creativity and decision-making are complemented by AI capabilities, harnessing the best attributes of both to give businesses a quantifiable competitive edge. As we move forward, generative AI's distinctive proposition—to make organizations fundamentally more efficient and productive—will be key. In a world increasingly driven by technological advancements, it is this potential to bolster human talent and streamline business processes that positions AI as a game-changing force in enterprise evolution. One of the most compelling facets of generative AI is its universal applicability. From small startups to multinational enterprises, businesses can deploy AI technologies to automate complex tasks, derive insights from large data sets, and create new ways of engaging customers. Unlike previous tech waves that often required substantial investment, making them the domain of large players, generative AI levels the playing field. Now, even small enterprises have the potential to disrupt established markets and challenge incumbents by leveraging AI-driven innovation. Furthermore, generative AI's versatility extends beyond mere operational efficiency. It's a catalyst for creating new products, services, and business models. With the ability to analyze trends and forecast demands with unprecedented accuracy, businesses can identify and capitalize on emerging market opportunities faster than ever before. Moreover, generative AI empowers companies to deliver highly personalized customer experiences, something that has become a significant differentiator in today’s competitive landscape. However, the journey toward AI integration is not without its challenges. Data privacy, ethical considerations, technical infrastructure, and skill gaps are some of the key issues enterprises must navigate to unlock the full potential of AI. As businesses push the boundaries of what's possible with AI, they also bear responsibility for ensuring that their innovations are ethical, transparent, and equitable. This includes addressing issues related to privacy, data security, employment, and the potential unintended consequences of AI systems. Business leaders must prepare their organizations for this transformation journey, fostering an AI-ready culture grounded in learning, adaptability, and ethical responsibility. Final Say Summing up, the generative AI boom is not just another chapter in the annals of technological advancement. It is a critical moment with the potential to fundamentally transform how businesses operate and compete. By embracing this revolution, companies can unlock new levels of efficiency, innovation, and customer engagement. But this requires not just adopting new technologies, but also adapting to the new realities they create—cultivating the right skills, embracing change, and navigating the ethical landscape with consideration. In doing so, businesses can harness the full power of generative AI, propelling themselves into a future where they’re not just participants in the digital revolution, but leaders shaping its course.

Generative AI in Business: Is It Set to Shake up Enterprises?

ব্যবসায় জেনারেটিভ এআই: এটি কি এন্টারপ্রাইজগুলিকে কাঁপানোর জন্য সেট করা হয়েছে?

Generative KI in der Wirtschaft: Wird sie Unternehmen aufrütteln?

IA generativa en los negocios: ¿está destinada a revolucionar las empresas?

L’IA générative en entreprise : est-elle prête à bouleverser les entreprises ?

व्यवसाय में जनरेटिव एआई: क्या यह उद्यमों को हिला देने के लिए तैयार है?

ビジネスにおける生成 AI: 企業に大きな変革をもたらすのか?

비즈니스에서의 생성적 AI: 기업을 뒤흔들 것인가?

IA generativa nos negócios: está preparada para abalar as empresas?

Генеративный ИИ в бизнесе: готов ли он встряхнуть предприятия?

İş Dünyasında Üretken Yapay Zeka: İşletmeleri Sarsmaya Hazır mı?

AI sáng tạo trong kinh doanh: Nó có thể làm rung chuyển các doanh nghiệp không?

商业中的生成式人工智能：它会撼动企业吗？

Software Repositories and Machine Learning Research in Cyber Security: Abstract & Introduction 

The OG digital asset will be the most interesting story in Web3 for 2024 It's a new year, and that means forecasting time! 2024 will be a landmark year for Web3, with Bitcoin leading it into the popular consciousness. "A long time ago in a galaxy far, far away…" Web3 in 2023 2023 saw several green shoots for the industry. The market cap of crypto assets recovered from . Major corporations such as , , and are implementing Web3 loyalty programs, signaling broad industry interest. Moreover, , , and are shaping regulations to integrate Web3 into their economies, recognizing its potential for future growth. US$ 840 billion in January to US$ 1.7 trillion by December Starbucks Lufthansa Fiat Japan South Korea Hong Kong However, despite these macro trends, enthusiasm by the general public has been muted. Since the , interest has dissipated with price drops. Yet, key developments in Bitcoin are setting the stage for a significant shift. "Crypto Winter" of 2022 Factors such as rising prices, the upcoming halving, US spot ETF listings, and the introduction of Ordinals are poised to propel Bitcoin and Web3 back into mainstream prominence. "May the Force be with you" Bitcoin Prices Bitcoin mounted an impressive comeback in 2023, increasing from a US$ 16,000 low in January to US$ 44,000 in December. Its share of the . crypto market cap increased 38% to over 50% This price surge not only benefits investors but also attracts broader market interest, which encourages new builders and entrepreneurs into the entering sector. "I am a Jedi, like my father before me." Bitcoin Halving Bitcoin has a fixed supply of 21 million and has its scarcity managed by a mechanism called "halving." Every four years, the rewards a miner receives for securing the network are reduced to curb inflation and create scarcity. The fourth halving is scheduled for April and will reduce mining rewards from . 6.25 to 3.125 Bitcoin This event historically triggers a rise in Bitcoin's value. For instance, after the first halving, Bitcoin's price soared from US$ 12 to over US$ 1,000. "In my experience, there is no such thing as luck." US Bitcoin Spot ETF The signifies a major advancement in mainstream adoption. ETFs provide a simpler way for retail and institutional investors to engage with Bitcoin, potentially catalyzing wider participation in the upcoming market upswing. US approval and listing of a Bitcoin Spot ETF While already provide investors access to crypto products, it's a huge step for mass market adoption in the world's largest market capital market. several traditional stock exchanges "I find your lack of faith disturbing." Bitcoin Ordinals While not popularly associated with the NFT boom, the first blockchain-based NFTs were built on a Bitcoin protocol. However, Bitcoin's protocol wasn't adopted after the explosion of NFTs in 2021. This changed in , a new method for storing and trading digital content on the Bitcoin blockchain. This innovation led to a substantial increase in transactions and NFT sales, with January 2023 with the launch of Bitcoin Ordinals Bitcoin NFT sales surpassing Ethereum and Solana in 2023 with sales volume. "Chewie, we’re home." A Brighter 2024 The outlook for 2024 isn't solely about Bitcoin's trajectory; it encapsulates the growth of the entire ecosystem. Historical trends show that rising Bitcoin prices foster an influx of entrepreneurs and builders entering Web3. The next wave of interest in Web3 will be unprecedented as in addition to price gains and major market events, there is a trusted and simple way for the mass market to participate in the bull market. The stars are all aligned for this year to be an exciting and transformative inflection point for the entire Web3. This is where the fun begins. Disclosure: This article is provided for informational purposes only, it represents the personal views of the author and should not form the basis for making investment decisions, nor be construed as a recommendation or advice to engage in investment transactions.

Bitcoin Strikes Back; A New Hope for Web3 in 2024

The resilience of Web3 gaming, bolstered by an emerging crypto bull market, is paving the way for what industry experts are forecasting as a defining year in 2024. The sector, which has weathered the volatility of crypto bear markets, is now positioned at the brink of a potential upswing, fueled by both market dynamics and technological advancements. Crypto market excitement, coupled with the anticipated commercial release of several high-profile blockchain games, is set to usher an unprecedented number of gamers into the Web3 space. Dmitrii Morozov, CEO of , notes, "The groundwork laid in 2022 and 2023 with alpha and beta stages is coming to fruition, with many titles set for commercial release in 2024, potentially bringing Web3 gaming to new heights." GG MetaGame Recent highlights the momentum, showing about 1 million unique active wallets engaging with Web3 games daily in recent months. However, these numbers might just be a prelude to a much larger movement. Siu projects an influx of up to 100 million gamers by next year, a surge driven by the transition of numerous titles from their alpha and beta stages in 2022 and 2023 to full commercial launches in 2024. data from DappRadar "2024 is a growth year in terms of bringing people on to Web3," commented Yat Siu, co-founder of gaming and venture firm Animoca Brands, in a Cointelegraph interview. The casual Web3 gaming space, especially mobile games, is poised to be at the forefront of this wave. Siu envisions "tens of millions, maybe even 100 million gamers" being introduced to blockchain gaming through these accessible platforms. This article delves into 7 key predictions for the Web3 Gaming industry that might become realities in the next twelve months. Are you game? Read on! 1. Web2 game giants leap into Web3 The upcoming year is poised to established Web2 gaming giants making their foray into Web3. Already, industry stalwarts like Nexon, Netmarble, Krafton, and Come2uS, along with Western powerhouses such as Square Enix, Konami, Ubisoft, CCP Games, Scopely, EA, and Zynga, have started exploring the Web3 space. witness more In this regard, Dmitrii comments: "The entrance of these giants is a clear indication of the untapped potential in Web3 gaming, signaling a paradigm shift in the industry." 2. Expanding presence on major app stores Policies on major platforms like Apple App Store, Google Play Store, and Epic Games Store are evolving, making room for more Web3 games. In light of the EU Digital Markets Act, it's anticipated that mobile games on these platforms will begin incorporating stablecoins as a payment option, particularly benefiting European gamers. The U.S. market is also likely to see similar trends, owing to developments like Epic's victory over Google. 3. Growth of the gaming token market The market cap for gaming tokens currently stands at approximately . Given the recent growth rates in the gaming industry, it's plausible that this figure could soar to $40 billion or more in 2024. This growth would not only reflect the increasing monetary value but also signify the burgeoning interest and investment in Web3 gaming. $18 billion 4. Web2 brands embracing Web3 mechanics The trend of traditional, renowned brands integrating Web3 gamification is . Post-2022, brands like Nike, Starbucks, Gucci, Adidas, Dior, Louis Vuitton, Balmain, and Prada have either launched or intensified their Web3 initiatives. "The coming year could easily see a doubling of such Forever Brand activations in the Web3 domain," predicts Morozov. This movement indicates a broader acceptance and integration of Web3 concepts beyond the gaming sector alone. expected to continue 5. Play-to-Earn: about time for a natural evolution Play-to-earn (P2E) gaming emerged as a dominant trend in 2022, captivating a broad spectrum of users with the allure of earning real-world value through in-game activities. However, this model faced scrutiny as both game developers and players overly focused on the 'earn' aspect, often at the expense of genuine gaming experiences. A paradigm shift is now underway. A by the Blockchain Game Alliance (BGA) highlighted that improving game quality should take precedence over simply implementing P2E mechanisms. This sentiment is echoed by Oasys Games director Daiki Moriyama, who, in an , acknowledged the significance of P2E but emphasized its overemphasis in the current landscape. Moriyama suggests that leveraging well-known IPs and significantly enhancing user experience could recalibrate the focus. 2023 report interview Can Azizoglu, CEO of Web3 startup incubator Coinoxs, concurs with this evolving perspective. “The Web3 gaming landscape is diversifying. Players are seeking varied gaming experiences, not just P2E,” he stated. While P2E remains a popular model, the growth of the sector is increasingly inclusive of a broader array of gaming experiences. The shift in focus from P2E to more diverse gaming experiences marks a maturing of the Web3 gaming industry. Players are looking for games that prioritize engaging gameplay, indicating a move towards more sustainable and player-centric gaming models in the future. 6. NFTs: a shift from speculation to integral technology The role of Non-Fungible Tokens (NFTs) in the gaming industry is undergoing a significant transformation. Moving beyond mere speculative assets, NFTs are being re-envisioned as foundational elements within business models. Uluç Yuca, co-founder of Curator Studios, sheds light on this shift, noting that NFTs are transitioning from being just a form of currency to becoming a core part of the gaming business model. This evolution means that game studios are now looking beyond traditional in-game purchases and downloadable content. Instead, they are exploring player-driven economies that are facilitated by NFTs and royalties. Yuca elaborates, “NFTs offer players a financial stake in the game, akin to the founders and employees. This alignment with the game’s success transforms players into passionate advocates for games they love.” This changing perspective on NFTs signals a deeper, more intrinsic integration of blockchain technology within the gaming sector. Instead of being an afterthought or a supplementary feature, NFTs are becoming central to the gaming experience, fostering a community of players who are financially and emotionally invested in the game's success. This trend is a step towards creating more robust, player-centric economies within the gaming world, promising a future where players are key stakeholders in the games they engage with. 7. Games before prices: sustained growth beyond the next bull run The fluctuating nature of the crypto market often raises questions about the long-term viability of Web3 gaming. According to Yuca, there's a possibility that interest in Web3 gaming might wane during a bull run as investors pivot their focus to other market areas. However, he believes that the core technology and potential of Web3 gaming could continue to draw users and developers, leading to sustained interest over the long term. "The integration of blockchain technology into traditional gaming could also fuel continuous interest in Web3 gaming, even during a bull run," Yuca adds. "Ultimately, the success of Web3 gaming will hinge on its ability to offer unique and engaging experiences to users, irrespective of the market conditions." Echoing this sentiment, Morozov from GG MetaGame, opines that the allure of Web3 gaming is unlikely to diminish with market fluctuations. "We're witnessing a growing influx of players from traditional gaming backgrounds. With only a fraction of the global gaming population currently engaged in Web3 gaming, there's immense potential for growth," he asserts. Michael Powell, product marketing lead at Immutable, with this optimistic outlook. "Gaming is one of the sectors where blockchain technology has the most immediate applications and utility," he observes. "With active investments pouring into Web3 gaming, interest from major gaming companies, and improvements in developer tools, we're on the cusp of a major expansion in diverse game types across different ecosystems." concurs Powell also highlights the current upward trend in gaming tokens and strategic partnerships as indicators that the sector is primed for significant growth in the near future. "The momentum we're seeing now is a strong signal of the sector's readiness for major expansion," he concludes. In a nutshell In summary, while market conditions will continue to influence the Web3 gaming landscape, the consensus among industry leaders is clear: the future of Web3 gaming rests on its ability to deliver compelling and unique gaming experiences, transcending market trends and investor priorities. This focus on the gaming experience itself, rather than just financial aspects, could be the key to unlocking sustained growth and enduring success in the Web3 gaming domain.

Web3 Gaming: 7 Predictions for 2024

ওয়েব3 গেমিং: 2024 সালের জন্য 7টি ভবিষ্যদ্বাণী

Web3 Gaming: 7 Vorhersagen für 2024

Web3 Gaming: 7 predicciones para 2024

Web3 Gaming : 7 prédictions pour 2024

वेब3 गेमिंग: 2024 के लिए 7 भविष्यवाणियाँ

Web3 ゲーム: 2024 年の 7 つの予測

Web3 게이밍: 2024년 7가지 예측

Web3 Gaming: 7 previsões para 2024

Web3 Gaming: 7 прогнозов на 2024 год

Web3 Gaming: 2024 İçin 7 Tahmin

Trò chơi Web3: 7 dự đoán cho năm 2024

Web3 游戏：2024 年 7 个预测

SINGAPORE, Singapore, December 19th, 2023/FinanceWire/--With 2023 coming to an end, leading global broker FBS looks back at the significant economic events and delves into the perspective of the financial landscape in 2024. FBS financial market analysts point out that next year, financial markets will stand at the cusp of transformation under the influence of the US economy, global and local military conflicts, and the sprawl of AI. As experts further stress, the cautious stance of the Federal Reserve on monetary policy and the rising cycle in 2023 weakened the US dollar, impacting major currency pairs like EURUSD. The FOMC press conference speech by Jerome Powell on the possible easing of US monetary policy in 2024 pushed EURUSD to the resistance at 1.1000. FBS Global broker anticipates that economic growth will slow down to 2-3% due to monetary tightening in 2023 and geopolitical tensions impacting international trade. In this context, traders should consider volatile events and focus on risk management to mitigate stop-outs and losses. FBS analysts describe 2023 as a time when traders faced multiple liquidation risks amid media-covered geopolitical and economic events. Market uncertainty was heated by the global military conflicts that provoked gaps in XAUUSD and oil prices. By the end of the year, oil prices went down due to the anticipated deterioration of economic conditions in 2024, and gold prices experienced an upswing due to USD weakness, emphasizing the need for prudence during unpredictable news periods. The turbulent trend will likely continue in 2024, with oil prices fluctuating between $70 and $100 per barrel and gold rallying to $2,300 as investors will be awaiting the next inflation spike. 2023 was marked by optimism for the cryptocurrency market, FBS financial market analysts point out. BTCUSD demonstrated remarkable strength, gaining over 120%. Cooling US inflation, anticipation of Fed rate cuts, and the collapse of tech-focused banks early in the year contributed to Bitcoin's resilience. Speaking about the potential dynamic in 2024, FBS analysts underscore the high incidence of a bearish trend in the first half of the year. Over the past weeks, Bitcoin has been going up to the resistance area of $47,000. In this context, FBS experts anticipate the recurrence of the 2019 events, when the Federal Reserve cut the key rate due to a weakening economy, which sent risky assets, such as Bitcoin, down – this time, the asset may even fall to the supports between $36,000 and $25,000. Although the second half of the year is expected to bring more positivity to Bitcion’s trajectory, the crypto movement will hinge on regulatory changes, institutional adoption pace, and advances in blockchain technology. The rise of artificial intelligence (AI) was another primary driver of 2023 that significantly influenced the stocks of AI-related companies. This way, NVIDIA's stocks experienced a remarkable increase by 165%. However, FBS analysts highlight their overbought nature and advise traders to monitor performance – if the per-share price exceeds the $500 level, it will likely go up to $700. Emerging markets are expected to play a more significant role in the global economy in 2024, where Asian markets will be especially attractive. According to FBS analysts, traders can consider India, some Southeast Asian countries, and Brazil when planning their trades. These geographies are poised for significant growth, offering new investment opportunities and influencing global trade dynamics. In conclusion, FBS's outlook on 2024 underscores the need for vigilance and strategic planning to navigate uncertainties and opportunities in trading. Careful consideration of the ripple effects of 2023 and emerging events will be critical in making informed decisions. For more information about FBS’s services, visit www.fbs.com. Disclaimer: This material does not constitute a call to trade, trading advice or recommendation and is intended for informational purposes only. Contact FBS Press Office press@fbs.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program . here

Ripples of 2023: FBS's Insight On The 2024 Global Financial Outlook

Discovering the harmony between e-commerce brands and eco-conscious consumer values is pivotal in today's market; let's explore how online businesses can seamlessly align with environmentally friendly principles to meet the growing demand for sustainable practices. Consumer Priorities in Sustainability Environmentally committed consumers, guided by a strong dedication to ecological health, display unique traits and prioritize specific values when making purchases. They value sustainability, favoring products and brands that echo their environmental principles, emphasizing: Preferring items with transparent and ethical supply chains, eco-conscious consumers lean towards those made from responsibly sourced materials to lessen ecological impacts. Responsible Sourcing: Prioritizing products with minimal environmental impact, they seek options that actively reduce harm throughout production, from manufacturing to packaging. Minimal Footprint: Recycling is pivotal for eco-conscious consumers, who actively support products with recyclable materials and are drawn to brands with robust recycling initiatives. Recycling Focus: Current market trends vividly illustrate the upswing in eco-friendly preferences; with sustainability becoming a mainstream concern, consumers increasingly choose brands championing environmental causes. Businesses adopting eco-friendly practices not only align with consumer values but also tap into a growing market trend, cultivating a mutually beneficial relationship with an environmentally conscious audience. This surge in demand for eco-friendly products is reshaping industries and driving innovation in sustainable practices. Challenges and Opportunities for E-commerce Brands E-commerce, though convenient, leaves a digital mark on the environment through server activity, packaging waste, and transport emissions; as online shopping gains popularity, e-commerce brands must confront the task of lessening their ecological impact. The path forward demands inventive solutions to cut energy use, minimize waste, and adopt eco-friendly packaging. In this age of mindful consumers, the demand for sustainability resounds; shoppers now prioritize the ethical origins of their purchases. E-commerce brands face the dual challenge and opportunity of aligning with this shift, meeting consumer expectations for sustainable practices. The opportunity lies in reshaping business models to incorporate eco-friendly sourcing, transparent supply chains, and carbon-neutral operations. Brands that respond not only satisfy consumer demands but also position themselves as advocates for a sustainable future. Strategies for Alignment Here are four straightforward strategies to propel your e-commerce business toward a greener future: Conscious Sourcing Kickstart change by responsibly sourcing products; team up with suppliers championing ethical practices and eco-friendly production. Elevate product quality while showcasing a genuine dedication to sustainability. Earth-Friendly Packaging Redefine your packaging approach; choose recyclable materials, cut down on excess packaging, and embrace biodegradable options. Thoughtful packaging not only lessens environmental impact but also resonates with conscientious consumers. Sustainable Logistics Give your logistics a green makeover; optimize delivery routes, consider eco-friendly transport options, and collaborate with environmentally conscious shipping partners. Trim down your transportation carbon footprint and demonstrate a commitment to sustainable operations. Renewable Energy Investment Power up your business with renewable energy sources like solar or wind; going green not only slashes carbon emissions but positions your brand as a trailblazer in sustainable practices. Consumers increasingly favor companies actively contributing to a healthier planet. Communicating Sustainability Efforts Here's a brief guide on fostering trust through transparent eco-friendly initiatives. Transparent Communication: Transparency is the bedrock of credibility; clearly articulate your eco-friendly initiatives—be it sourcing, manufacturing or packaging. A simple, jargon-free approach resonates with consumers. A well-informed customer is more likely to appreciate and support your green endeavors. In the digital age, stories travel faster than ever; leverage your online presence to narrate the journey of your sustainability efforts. Engaging content, vivid visuals and even behind-the-scenes glimpses can turn mundane eco-initiatives into compelling narratives. Social media, blogs and video platforms offer accessible storytelling mediums. Digital Platforms as Storytelling Avenues: Trust is fragile but vital. Authenticity is the key to building and maintaining it; avoid greenwashing—be honest about your challenges and victories. If your initiatives are a work in progress, share that journey. Consumers appreciate authenticity and are more likely to stay loyal to brands committed to real, measurable change. Building Trust: Showcase your commitment to sustainability by being accountable. Set clear goals, track progress, and report outcomes. Certifications and third-party validations add a layer of credibility. When consumers see a brand holding itself accountable, trust deepens. Accountability Matters: Benefits of Aligning with Eco-Friendly Values Eco-conscious consumers drive market trends, and businesses embracing eco-friendly practices signal a commitment to shared values, attracting environmentally aware customers; this alignment fosters brand loyalty, creating a lasting connection with consumers who prioritize ecological concerns. The green halo effect is tangible, enhancing a brand's image and reputation; environmentally responsible businesses are perceived as ethical and forward-thinking, attracting new customers and providing a protective shield during times of scrutiny in the age of corporate social responsibility. Beyond immediate gains, aligning with eco-friendly values yields lasting benefits; businesses reducing their environmental impact contribute to the planet's health and often achieve streamlined operations and cost savings. From energy efficiency to waste reduction, these measures not only support a healthier environment but also contribute to a healthier bottom line. Overcoming Implementation Challenges Embracing sustainability sparks worries about costs, but it's an investment, not a burden; smart budgeting and a phased approach let businesses go green without jeopardizing finances. Success in sustainability hinges on teamwork with suppliers and partners. Open communication, shared goals and incentives in the supply chain create a ripple effect, amplifying eco-friendly efforts for collective environmental responsibility. Staying ahead in sustainability means staying informed. Invest in ongoing education, build flexible frameworks, and regularly reassess practices to lead in eco-friendly standards and innovation. Final Thoughts E-commerce brands captivate eco-conscious consumers through a vital pledge to sustainability; by infusing eco-friendly approaches into operations, products and messaging, these brands not only align with consumer values but also propel a greener future, forging a robust and sustainable bond with their audience.

How E-commerce Brands Can Align with Eco-Friendly Consumer Values

Let's learn about via these 66 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Lean Startup /Learn Repo 1. Why We Don't Want to Sign-up for The Paid Version Price-tags are the first filter. Obviously features and benefits are important, but one thing hasn't changed and that is in the majority of time: value is still the determining factor. 2. Startup 101: From Idea to Business Model We all from time to time come across an idea for a Startup. A company that can be a million or billion or maybe trillion-dollar worth. A company that can be next Tesla or Amazon, but sadly, 99.99999% of us don’t take the next step. That idea remains just a fragment of our memory. 3. The Problemeter: A sheet that helps startups solve the right problem A quick and easy way to figure out if your startup is solving the problem that really matters. Just update a Google Sheet. 4. The 10 Things I’ve Learned Attending Y Combinator Startup School 2020 Y Combinator shouldn’t need any presentation, but just in case, let me give a quick intro. 5. What I Learned from My Betalist Product Launch In early April, my co-founders and I had a conversation about beginning the “beta launch” process for Phiona. We had recently finished up a pretty significant enhancement to the application that would add much more value to people who were looking to transform their data in specific ways. At this point, it was time to move from a more limited alpha testing phase to a more significant beta testing phase. 6. The Future of Product Management is No-Code Development Three months ago I decided to immerse myself in the rapidly growing world of no-code development. This is what I’ve learned. 7. 6 Practical Ways Products Get Their First 100 Users Many product teams and startup founders buy into the theory of the Lean Startup, and want to “do lean” but don’t know where to start.
In this blog series, I will provide a practical guide on how to apply these principles. 8. How to Create a Billion-Dollar Business on a Budget The lessons learned in business can make you happier, wealthier and give you more free time. 9. The Attention Economy is Worth Billions of Dollars The average consumer’s attention is now worth billions of dollars because that’s how much companies spend on their user acquisition efforts. 10. RE: "New Normal" — Today's Thriving Startups Will Be Camels, Not Unicorns Unicorn is the term given to startups that are able to achieve a billion-dollar valuation, although not as rare as they were a decade ago, these startups are still often time the center of Silicon Valley’s obsession with building, finding and funding the next big thing. The majority of Unicorn startups are known for growing tremendously fast and burning cash without any sign of profit or a single dime in revenue. 11. From Graduating College to Raising $1+ Million Dollars in 9 months I was studying Mechanical Engineering in my final year at college in the UK when I joined my roommate and his friend in building an app called Cluttr they started developing in the Summer of 2017. 12. How to Plan and Build a Profitable Mobile App There are currently almost 10.000.000 mobile apps available in the leading app stores. 13. The Startup Action Framework Explained How to Take Your Startup from Foundation to Flourish 14. A Gread Idea Validation Method Used By Stripe Leading tech companies like Stripe are using this simple research method to validate their ideas and build products customers really need. 15. What is the Difference Between MVP and POC? In this article, we will look at definitions for MVPs and POCs and the circumstances in which to use them. 16. A Quick Guide to Lean Software Development Principles I remember learning about lean manufacturing at Toyota in an early middle school business class, and was endlessly fascinated by the idea of minimizing waste and maximizing productivity through intentional design. Over time, lean methodology was adopted by several industries, outside of manufacturing, including software development. 17. The Complete Guide to Nailing Customer Feedback By far, the top reason startups fail is the lack of market need (42% of the cases). Many startups are founded based on unique technologies, or on problems that are interesting to solve, but don’t necessarily answer a real market need. Understanding what market you are serving, and the problem you are addressing is key. The basis for that is early, continuous feedback from the right people who fit the early adopter profile. 18. The Pillars of a Successful Startup The ability to launch and scale a project efficiently is a practice mastered with experience and, in most cases, a whole portfolio of failures. 19. The Female Founders of Unicorn Companies ClassPass and Spanx Share These 5 Traits, Do You? What are the top five traits of new-age female founders of unicorn companies? How are they different from conventional traits? 20. A Systematic Approach to Building Products (Template) If you’re working on something new, there are so many directions your work and product can take. 21. How To Explore Your Startup Idea With ZERO Money A couple years ago I was teaching a small course at Stanford about Entrepreneurship and I remember the number one question was how to raise money. 22. 5 Successful Startups With Outsourced Development Hiring talented software developers is a huge expense for business, even more so when the development has to be fast and for a startup. Many new companies in the US and Europe don't have the budget to pay for full-time developers, with this they must look outside of the local talent pool. 23. Retool for Startups: Early-stage startups can now build internal tools for free Retool for Startups is a program designed to help early-stage startups build critical internal tools. Eligible startups get 12 months of free Retool credits. 24. I Chose Serverless for My New Startup — Should You? I have seen cloud tech change a lot in my 10 years of experience. AWS and GCP were not the default choice a few years ago, and I have worked in companies that bought and installed physical servers. What a nightmare! And this is why trying out serverless was the natural next step for me. I think everyone should give it a shot, and I wanted to share my experience! 25. Start a Tech Startup for Free with Google Cloud Platform Learn how to piece together Google Cloud Platform (GCP) services ($300 credit on signup) and other services to start your tech startup with this no-fuss guide. 26. Top Angular Admin Templates People reviewing admin templates usually think about what kind of intro they should start the article with. But let’s be honest, no one is ever interested in these. People just scroll down and go straight to the point. So this time we thought we’ll skip the intro at all. We won’t explain why and how exactly using admin panels can save you money, you can read about it here. 27. How to Get Everyone on the Same Page Chaos. 28. The World of Customer Acquisition 3.0 The advent of new algorithms, faster processing, and massive, cloud-based data makes it possible to use AI to drive better performance marketing results. 29. 🚀 Ultimate Startup Launch Checklist: 2020 Edition 🚀 Over the past few years, I've had the great chance to help some awesome SaaS startups with their digital marketing. 30. The Art and Science of Crafting a Job Position in the Startup Stage When hiring, especially for start-ups, you can and should collaboratively design a position that honors your colleague's aspirations. 31. Redesigning scrimba.com: A Completely Agile Process [Case Study] Scrimba is an online platform to learn to code from real teachers. But unlike the many other competitors, their secret sauce is that they’ve developed a unique technology that lets teachers record their screencasts so students can stop at any point and jump directly into editing the code. In this way it’s similar to being taught with a tutor right next to you. Pretty neat! 32. A Credible Framework to Validate Startup Ideas Entrepreneurs are known to run into dozens of ideas on a daily basis, if not more. While most of them seem to border on absurdity in the beginning, it is often difficult to determine whether or not they would work out in the long run. That’s why the best way of ensuring your idea is worth developing is to learn at the fastest possible pace and have the willingness to try out different experiments. 33. What's The One Thing You Can’t Miss When Building an MVP? At Altar.io we’ve built dozens of products over the years, working with entrepreneurs from all over the world. 34. An Entrepreneur's Guide to Finding Growth Opportunities Through Customer-Discovery Research Customer-discovery research is the only way to identify which strategy will work for your product or service. 35. Retrospective is A/B Testing for Teams If you are new to Agility and Retrospective, I’ll offer in this post a novel introduction to it. We will explore how retrospectives and your team organization can take inspiration from A/B Testing. 36. Finding my Side Hustle [Part 2] Photo by Nosiuol on Unsplash 37. The Importance of a Lean Approach to Web & Mobile Development “Lean” is a buzzword that has been making the rounds in the startup world for a few years now. There have been numerous books written that talk about it. Some prominent ones are The Lean Startup, The Startup Owner’s Manual, The Lean Product Playbook. The spirit that this word conveys is very simple though. It essentially wants to minimize wasted efforts and resources. 38. Engaging with Customers in the Early Stages of a Startup In the early stages of startup development, teams run the risk of advancing too quickly as they obtain limited data about their early customers. 39. What's Your Entrepreneur Persona? Want to know which type of entrepreneur you are? Check out this list of 7 personas! 40. Top Industry Trends for AI Marketing Companies that embrace AI will be able to test, learn, and iterate much faster, raising the competitive bar for learning. 41. 3 Habits that Stifle Product Execution According to a Product Expert Mirav Vyas has advised a multitude of product and innovation teams across the UK, US and Africa over the last 8+ years. 42. I’ve Built An App to Get Paid Users Through dogfooding and growth loops How one developer built an app to improve Twitter's experience and also to  learn how to get more users for a different app through dogfooding and loops 43. Build vs. Buy: The AI Martech Conundrum Lomit Patel, Chief Growth Officer at Tynker, provides an overview of the pros and cons when building or buying an AI martech solution to capitlise on growth. 44. Understanding the Intricacies of Growth Marketing for Lean Startups For most companies, growth marketing is the way of the future for leveraging data and agility to scale revenue and increase customer lifetime value. 45. 12 Product Design Principles While Working in Small Startups If you are aware of the values of carrying out the Product Design Process, then you are halfway through the success! 46. 3 Ways To Reach the C-Suite You can find your way to success from an entry-level to an executive-leadership position. You just have to take the route that compliments your attributes best 47. Lean Business Model: What Entrepreneurs Need To Do in Times of Crisis “Never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it’s the only thing that ever has.”- Margaret Mead 48. 8 Questions Startup Founders Ask Too Late Recently I’ve been able to interview several startup founders, ranging from very early stage to actively scaling, bootstrapped to funded. Along with the lessons learned from my own hands-on work with startups, I’ve put together my highlights on key points that could make or break your startup venture. 49. Mistakes To Avoid As a Software Engineer Before the 2000s, software development was mostly done in a Waterfall approach. This meant that a software project would be shipped after going through a few long stages such as analysis, development and QA, just to name a few. This led to slow software development cycles and, consequently, improper decisions were made in the early stages of the lifecycle, leading to poor or unfit software. 50. Monetization Strategies to Help Your App Weather the Economic Downturn During an economic downturn, app monetization will be affected. Apps that can succeed during an economic recession differ from those that thrive in upswings. 51. Let’s Talk About Startup Structure Your startup organizational structure is the foundation of the empire you’re about to build. 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Developing Finsterwald Amid a Pandemic: A Startup CEO in The Trenches Former Huawei manager Peter Stieglbauer talks about Decentralization, Gaming, and Funding for their new VR 3D game, FINSTERWALD 62. What Playing StarCraft Can Teach You About Growing Startups It's rare to read an article that keeps me thinking about the article days and weeks later; even rarer for it to inspire me to write an article of my own. What was the subject of this earth-shattering article, you ask? None other than the RTS (real-time strategy) computer game StarCraft II. 63. The Benefits of Idea Validation and How to Conduct It [Part 1] Idea validation is the process of gathering evidence around ideas through experimentation to make fast, informed and de-risked decisions. 64. The “Magic of Tidying for Photos” App — Introduction This post shares about the idea of applying Kon Marie organising method to your digital photos, and I developed an IOS app  with AppleML and PhotoKits to solve the problem. 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What to Expect? Introduction The Basics of Behavioral Economics Common Cognitive Biases in Crypto-Trading. Emotional Influences on Trading Decisions. Behavioral Economics strategies for crypto traders. Case studies and Real-world Applications. Understanding human behavior in the cryptocurrency marketplace is just as important as understanding fundamentals. Why traders make certain decisions and how they can improve their strategies is insights that can be best learned through the field of behavioral economics, which is a hybrid of economics and psychology. With reference to principles of behavioral economics, this article shows how they can be used for making smarter constructive trading decisions within the economy. crypto The Basics of Behavioral Economics Behavioral economics combines psychological insights with economic theory to provide a more nuanced understanding of human behavior relating to financial context, thus making it interesting. On the other hand, traditional economics assumes that people are rational actors and, therefore, make decisions that will maximize their utility. However, behavioral economics acknowledges that humans do not always behave rationally due to various factors that hinder them from making optimal choices. To start with, the core concepts of behavioral economics include . Heuristics act as shortcuts in reasoning that simplify decision-making processes. Although they might be useful, they can also lead to cognitive biases, i.e., systematic thinking errors that affect how individuals make decisions and judgments. For example, some popular heuristics that may lead to such fallacies include the availability heuristic, whereby the individuals assess the likelihood of an event on how easily they recall similar cases, and the representativeness heuristic, where individuals assess the probability of an event by comparing it with a prototype. heuristics and biases are preferences that are based on heuristics. They can have a great impact on trading and even investment decisions. For instance, anchoring bias occurs when individuals rely too heavily on the first piece of information they receive (the “anchor”) when making decisions. In crypto trading, if a trader buys a cryptocurrency at a high price, that price becomes the anchor, and they may be reluctant to sell it at a lower price, even if the market conditions suggest it would be wise to do so. Biases is another key principle of behavioral economics developed by Daniel Kahneman and Amos Tversky. It explains how people value gains and losses differently, leading to inconsistent risk-taking behavior. For example, it is often more likely for someone to take risks when trying to avoid loss rather than making profit. In crypto trading, this is particularly relevant as the fear of missing out on potential gains may prompt traders to hold onto their assets for too long or invest in high-risk ventures without sufficient due diligence. Prospect theory Understanding these basic principles of behavioral economics is essential for crypto traders. It allows them to recognize the psychological traps that can lead to poor trading decisions and to develop strategies to counteract these biases. By doing so, traders can improve their ability to make rational, informed decisions that align with their investment goals and risk tolerance. Common Cognitive Biases in Crypto Trading When we talk about cognitive biases what do we actually mean? Well, Cognitive biases refer to systematic patterns of deviation from norm or rationality in judgment, often resulting in illogical conclusions or decision-making. In the context of , these biases can significantly influence a trader’s actions and may result in recurring errors of judgment and investment. crypto trading is one of the most common cognitive biases that affect traders. It happens when someone has an unreasonable level of belief in his or her ability to predict events or to control events that he or she cannot. This bias may show itself while trading crypto, where a trader tends to think they know more about the market than they actually do, and so can predict price movements, resulting in increased trade volumes and greater risks taken. For example, a trader might believe that against all odds, the losing position can turn into a winner and, therefore, place more funds on it. Overconfidence Bias , as opposed to making gains, is a preference for avoiding losses. Research shows that two times, the positive feeling from gain is roughly the same as the negative one from losing. In this case, behaviors such as hanging on to loss-making trades with the hope that they will bounce back or selling winners early to ‘lock in’ profits are typical patterns for an individual who prefers not to lose money rather than make gains through trading securities. Loss Aversion Bias refers to people’s tendency to seek, interpret, prefer, and retain information that supports their existing beliefs or ideas. In the volatile crypto market, a trader may disregard negative news or market indicators forecasting a slump in anticipation of the continued rise in the market. This can result in a failure to react suitably to market shifts, which may end up with financial losses. Confirmation Bias Other cognitive biases that affect crypto traders include: : This is a cognitive bias that occurs when an individual makes a decision based on the first piece of information they are exposed to. For example, if a trader purchases Bitcoin at a certain price, that price becomes the anchor and even if the market conditions indicate otherwise, it can be hard for the trader to dispose of Bitcoin at lower prices. Anchoring Bias : As its name suggests, this behavior involves doing what others do in the financial markets, especially in crypto trading. In some cases, herd behavior may lead to bubbles followed by crashes in crypto trading, which is very risky. Herd Mentality To fight these biases, traders must have a disciplined trading strategy in place, keep an eye on these common pitfalls, and learn about market trends and psychology over time. Traders who understand and acknowledge these cognitive biases can take deliberate steps to reduce their impact and make more logical trading choices. Section 3: Emotional Influences on Trading Decisions These emotions are very powerful and can influence human actions, and this is even more observable in the case of cryptocurrency trading. In the , traders experience rapid fluctuations with unpredictable outcomes that can evoke strong feelings which may make them act impulsively, disregarding their long-term investment goals. crypto market When the market goes down, or there is some negative news associated with a specific cryptocurrency, instantaneously kicks in. This usually prompts a fight-or-flight response, thereby causing investors to sell off their assets in a panic to avoid further losses. Such behavior only serves to intensify declines in the market and result in big financial losses for those who sell at the bottom. fear On the other hand, immediately takes over during upswings. It makes the traders overly optimistic, ignoring signs of overvaluation or market saturation. Decisions that are motivated by greed often involve exposure to too much risk as they aim at earning high returns leading to significant losses when the markets normalize. Greed Another emotional influence that can make traders make impulsive decisions is (fear of missing out). Therefore, when traders see others making huge profits from an asset that is going up in value, they may feel like there is no time to waste and rush into the market without doing enough research or having a clear investment plan. FOMO To control these emotional influences, it is crucial to develop emotional intelligence. This means being able to identify one’s own emotions, comprehend how they affect decision-making as well as keep them under control. This way, by understanding what triggers them emotionally and responding with reason and logic instead of being overwhelmed by such feelings, traders can remain calm and make better choices. Strategies to enhance emotional intelligence include: Mindfulness can help traders become conscious of their emotions and mental habits that result in reactive trading. Mindfulness practices: : Using stress-reducing exercises like deep breathing, working out and meditating can keep traders’ composure during market instability. Stress management techniques : Creating a group of people involved in this business to talk to and advise each other may balance decisions taken and reduce emotional biases. Support networks By enhancing emotional intelligence and learning techniques for managing emotions, traders are able to make more disciplined and farsighted approaches in the cryptocurrency markets. Section 4: Behavioral Economics Strategies for Crypto Traders Traders exploring the volatile world of cryptocurrency trading often use behavioral economics strategies as their guide. These strategies are meant to assist traders in realizing and mitigating the cognitive biases and emotional influences that result in bad decisions and monetary losses. One method is the application of . A checklist can be constructed from a simple yet powerful tool that ensures no important detail is missed before initiating a trade. Some of the items may include verifying market trends analysis, looking for global economic news that may impact crypto, and reviewing the trade’s risk-reward ratio. By following a checklist step by step, traders will avoid making impetuous decisions and engage in more disciplined trading. checklists Also, keeping is very critical. All trades are recorded in this trading journal, including why each was made, what came out of it, and any teaching it produced. This technique helps traders identify their behavior patterns when trading, recurring biases that affect them regularly, and how they can be improved upon. a trading journal are those that traders use when they set rules to be followed regardless of emotional state or market conditions. A few examples of these include setting predetermined entry and exit points, stop loss orders for reducing potential losses, and well-defined criteria for selecting investments. This ensures that fear and greed are eliminated from the trader’s emotions, making him or her stick to a plan. Pre-commitment strategies Another strategy that can be used is where funds are divided into different accounts for different purposes. For instance, one could allocate a particular section of their portfolio to long-term investments, another fraction to short-term trading, and some cash for high-risk – high-reward opportunities. Because of this, traders can make better choices and refrain from investing too much in one particular asset or trade. mental accounting, is a familiar concept involving spreading investments across different assets in order to lower risks associated with certain investments. In behavioral economics, diversification behaves as an antidote to overconfidence bias since not all trades will be profitable; hence, it is wise to spread risk in investment. Diversification Finally, Crypto traders should prioritize which serve as the most important strategies. Informed persons, on the other hand, can understand biases through the study of behavioral economics and psychology on trading, helping them in decision making. education and continued learning, These behavioral economics strategies can also help crypto traders expand their toolkit in order to make better choices that are logical and they are comfortable with considering their risk tolerance and trading goals. When applied systematically, these measures will ultimately enhance the performance of a trader in terms of trading and make it more enjoyable. Section 5: Case Studies and Real-World Applications The application of behavioral economics in crypto trading is not just theoretical; it has practical, real-world implications that can lead to tangible improvements in trading performance. By examining case studies and analyzing specific trading scenarios, traders can gain insights into how behavioral economics principles can be effectively applied. One of the most notable examples of behavioral economics in action is the Bitcoin bubble of 2017. During this period, the price of Bitcoin soared to nearly $20,000, driven by a surge in public interest and a classic case of market euphoria. Many traders, influenced by herd mentality and FOMO, bought into Bitcoin at high prices without a clear exit strategy. As the market corrected and prices plummeted, those who had not applied behavioral economics principles suffered significant losses. In contrast, traders who recognized the signs of a bubble and adhered to pre-set stop-loss orders were able to protect their capital and even profit from the volatility. The Bitcoin Bubble of 2017: The Use of : Another application of behavioral economics in the real world is incorporating behavioral indicators into algorithmic trading systems. Instead of relying solely on technical analysis, these systems examine market sentiment to inform trading decisions based on psychological patterns. It means that, for instance, a trading algorithm can be coded to each time it observes a sudden surge in posts on social media showing FOMO among retail investors, which might indicate an imminent correction of the price. Algorithmic Trading sell a cryptocurrency For example, behavioral economics can be used to analyze specific trading scenarios. For example, let us say there is a trader who is considering buying a cryptocurrency that has gained 200% in a short span. By virtue of its momentum, traditional economic theory may propose that this asset is worth investing in. In contrast, according to behavioral economics, the trader should take into account the likelihood of overconfidence bias and assess critically if the asset’s fundamentals justify its recent price increase. This way, the trader can choose more wisely and perhaps avoid purchasing at market rallies’ tops. Analyzing Trading Scenarios is a real-world example of how behavioral economics could have improved trading outcomes triggered by the onset of the COVID-19 pandemic. At the bottom of the market, many traders were selling their assets out of panic and fear. People who know behavioral economics, such as markets, tend to overreact to news, as well as the fact that it is important for one to maintain their calmness even under pressure could hold on to their investments or buy more at reduced prices, benefiting from the recovery of the market. The March 2020 market crash By studying these case studies and real-world applications, traders can learn from past successes and mistakes, applying the lessons of behavioral economics to their own trading strategies. With this knowledge, traders can make more rational decisions, manage their emotions effectively, and achieve better financial outcomes in the volatile world of cryptocurrency trading. The Future of Trading with Behavioral Economics The integration of behavioral economics into the future of trading is poised to revolutionize the way decisions are made in the financial markets, particularly within the realm of cryptocurrency. As we look ahead, the potential for behavioral economics to enhance automated trading systems and artificial intelligence (AI) is immense, promising a new era of trading that is more attuned to the nuances of human psychology. The future of trading is likely to witness a substantial rise in the use of automated trading systems and AI informed by behavioral economics. These systems will be built to analyze large amounts of market data such as price movements, trading volumes and news sentiment, but will also consider the psychological factors that affect trader behavior. These systems can then go ahead to carry out trades based on models that predict how traders are likely going to react under different market conditions and exploit human biases and emotional responses. Automated Trading Systems and AI Advancements in behavioral analytics will enable trading platforms to provide real-time insights into trader sentiment, potentially predicting market movements based on collective behavior. This could lead to the development of tools that alert traders to potential biases in their decision-making process or warn them about market conditions leading to irrational trading behavior. Behavioral Analytics : The future may bring trading platforms that will offer personalized trading experiences suited to individual traders’ psychological profiles. For instance, a platform could use a trader’s past data to identify behaviors linked to overconfidence or loss aversion and then adjust its interface and recommendations accordingly. Trading experiences made personal With the expansion of behavioral economics, we should anticipate an increase in educational materials and training programs focused on psychological aspects of trade. Consequently, traders will be empowered with information that will help them to spot biases, thus enabling them to make more rational investment decisions. Education And Training Regulatory Implications Additionally, regulation could also be affected by behavioral economics integrated into trading. For example, regulators can apply the principles of behavioral economics in order to develop policies that can shield traders from some of the common mistakes such as making hasty conclusions based on very little information or falling prey for fraudulent schemes which exploit their mental weaknesses. Conclusion In summary, traveling through the and taking into account behavioral economics shows that the mind of a crypto trader is full of psychological aspects influencing trading decisions. This article has explored cognitive biases in depth, emotions’ influence, and a number of approaches that could be used for making better judgments while coping with cryptocurrency trading. thoughts of a crypto trader The key takeaways from this exploration are clear: , such as overconfidence, loss aversion, and confirmation bias, can lead to systematic errors in judgment and must be recognized and mitigated. Cognitive biases , including fear, greed, and FOMO, can cloud judgment and must be managed through emotional intelligence and self-awareness. Emotional influences , such as checklists, trading journals, and pre-commitment strategies, provide a framework for disciplined decision-making. Behavioral economics strategies demonstrate the practical benefits of applying behavioral economics to trading, offering valuable lessons for traders. Case studies and real-world applications The future of trading with behavioral economics is bright, with potential advancements in automated trading systems, AI, and personalized trading experiences that cater to individual psychological profiles. One must apply the knowledge acquired through behavioral economics, refine strategies, and be aware of psychological pitfalls leading to less profitable transactions. If the field of behavioral economics is changing, then a dealer should also change his approach to it by studying new approaches and instruments for decision-making. However, this is not the end of the journey for those who want to know more about psychology and finance. This is an ongoing exploration of behavior economics that calls for traders to continue learning, reading more research, and engaging in discussions that question the traditional paradigms of trading. It’s time to integrate the principles of behavioral economics into your cryptocurrency trading with a view to making intelligent decisions.

Decoding the Crypto Trader’s Mind: Leveraging Behavioral Economics for Smarter Trading Decisions.

Crypto’s largest exchange just got hit with $4 billion in fines. Its CEO resigned. Rumors are swirling that the largest stablecoin, a crypto version of the US dollar, will collapse under US regulatory scrutiny. Every major US crypto entity is getting sued by investors, users, or the US government. Bitcoin’s price is up 126% this year. The bear market warriors claim validation. The OGs chant “victory!” The bull market champions call for new all-time highs. They all expect crypto will go on an amazing run, they just can’t agree whether that means bitcoin’s price will hit $60,000 before the halving, deliver diminishing returns through the end of 2025, peak sooner than expected in a “left-translated cycle,” or reach some other number on a timeframe that fits within the cycle theories, trading charts, and data models. Torn between two lovers Nobody else seems to believe them. Mainstream commentators seem doubtful. Jim Cramer said crypto’s done. YouTube traders say this is the “B” wave of an A-B-C correction to $6,000 (whatever that means). Your favorite regulators say it’s a fraud. Munger and Buffett say its going to zero. Macro guys tell you the wheels are about to fall off the world’s economy but 2022’s Recessionistas tell you that the recession’s been called off. On-chain gurus say prices have to go up because 75% of bitcoin’s supply sits in the hands of people who either don't care enough to sell or care so much they won’t sell. Data guys say that can’t happen, “the maths” don’t work out. One side of YouTube says the bull market’s confirmed. The other side says prices have to go down because “there is no liquidity,” “interest rates are too high,” and “we need capitulation first.” You're torn between two lovers, a bull and a bear. They both want what’s best for you, but only one is right! Just go along with it Some people simply can’t accept the reality: if bitcoin’s price stays above $15,600, crypto’s been in a bull market for over a year. If that’s you, no worries! What you’re feeling is normal during the disbelief stage of the market cycle, just before hope returns. This is a psychological phenomenon best illustrated by the Wall Street Cheat Sheet, an image that captures the emotions you will feel as you ride the crypto rollercoaster. Take a look: Can you apply that to bitcoin’s price chart? Here it is: You don’t have to believe what you see. You may, however, want to suspend your disbelief. Excuses, excuses Since the start of the year, every upswing has ended with a downswing. You get your hopes up, only to be let down. Priya in the Park insists the end is near, and she’s called every crypto bear market—sometimes more than three years in advance! She’s always right! Billy the Neighbor just bought back the Tesla stock he sold at the 2022 bottom but he’s not hitting you up for altcoin recommendations anymore crypto because “it’s dead” and “I don’t see why it’s valuable.” Your family thinks you lost all of your money. Conspiracy theorists tell you Tether, HTX, and [fill-in-the-blank crypto entity] will collapse from regulators, insolvency, central banks, law enforcement, quantum computers, and whatever else the social media algorithms slip into their feeds. Insolvent exchanges are dumping their customers’ cryptos to raise money. Think of all the excuses you’ve had to keep money out of crypto this year. Curve.Fi gets hacked and seems on the verge of imploding DeFi, so you keep your money out of the market. Death crosses and bull market support bands say you can't buy yet. You haven’t found a narrative that will bring new money into crypto, let alone a narrative that fits what you’re looking for, so you sit on your hands waiting for the altcoin capitulation or some news to get you hyped up again. China has an economic crisis. Supposedly, Europe’s in the middle of one (they don’t know it yet). Canada’s about to collapse. As a result, your mind simply can’t convince you that this market could ever recover. Yet, crypto goes up. Embrace uncertainty You think crypto should collapse, but nothing’s collapsing. Regulators seem to lose or settle every anti-crypto case. Wall Street’s preparing to take over the space. Crypto is not going away. Circumstantial evidence and on-chain behavior suggest stackers and HODLers have settled in for the long haul, and they control the largest portion of the market since 2016. Key sentiment indicators remain in a healthy equilibrium. Key metrics show strong market conditions. China’s stimulus has started to enter the market. Other Asian countries have taken back market share from the US. I could give you a dozen charts that make the future seem hopeless. https://twitter.com/MarkHelfman/status/1705780363040010437?embedable=true Despite all the gloom, the crypto market has turned a corner on every conceivable metric I look at. Bitcoin’s returns beat almost every asset that people like you and me can buy. Hard to believe, I know. Don’t try to believe it. Just try to suspend your disbelief. If you do that, maybe you’ll see a reality you never knew about. This post is also available as a collectible NFT at . https://mirror.xyz https://mirror.xyz/0x9a6600c7B40801dda9A0Fa4E8DE7b1B99FE524a7/ZPqrswR2QxFUPqP0Rng6Gl226NQDpG0nrYNFqx9-gfk?embedable=true Mark Helfman publishes the newsletter. He is also the author of three books and a top Bitcoin writer on and . Learn more about him in his and connect with him on or . Crypto is Easy Medium Hacker Noon bio Superpeer Tealfeed

The Crypto Market Demands You Suspend Your Disbelief

There’s nothing worse than slaving over a detailed, long-form social media post for a few hours only to see it get a few likes. And then, when you check your feed, there’s some influencer who’s shared a 2 sentence soundbite that’s got tens of thousands of views, hundreds of likes, and dozens of comments. Being solidly in the camp of “long-form posts and no engagement” myself, I decided to see if AI could help me improve my social media marketing and online presence. Here’s what I did, and how it worked. I’ve put some template and framework downloads together to help you copy this method. You can request them on my website here. My AI content marketing strategy from a high-level As mentioned above, a lot of my social media posts tend to get overlooked and ignored. However, there are plenty of people out there who have less professional experience than I who have millions of followers. They know something I don’t, and so I decided to look into what it is that they do and say. The basic advice is the same across the board. Share “useful” content (even if the giver of this advice shares useless content) Be consistent Share things that get people to engage Engage with others Pretty standard advice. When I started looking into the kind of posts that people who are known and trusted in social media growth share, I saw them getting a lot of engagement on posts like the below from Justin Welsh. It’s a short post. A great little soundbite which is easy for people to like. As you can see, this particular one has 835 likes, almost 45K views, and 149 comments. That alone isn’t what I’m interested in. These are vanity metrics really. But what people like Justin do so well is use posts like the above to increase reach, and then use other posts to move traffic to their site. There, they can capture the email address and nurture the relationship until the customer ready to buy. I’ve written about this before with Eddie Shleyner and his awesome engagement loop. I want to move people from social to my owned channels. I thought that by sharing a couple of posts like Justin’s above, I might be able to increase the audience size on social and, as a result, direct more people to my site. The plan was simple. Create a few dozen posts that are… Quick to consume Easy to like Are not controversial (meaning everyone can drop a like) Snappy little sound bites … and this would, hopefully, lead to good social growth. It would help me fill the top of my funnel and help me warm up the algorithms to then push out my posts to more people and get a wider audience and brand visibility. I’ll go on to explain the exact process I used to test this, but first, let’s go through what your really want to know. Here’s a look at the results. The results of my social media marketing AI experiment OK, so here’s the quick and dirty results. I had the AI write 90 posts for me, and was sharing one post 3 times per day. One in the AM, one mid-afternoon, one mid-evening. The posts were all short soundbite-type posts that seem to do well from an engagement perspective. And they were shared simultaneously to my Twitter and my LinkedIn. An example of the posts is below. Let’s break this down by channel I used. Twitter results OK, so the experiment started on September 4th. Overall, you can see that for the ~30 days after September 4th the posts generated consistent engagement. Nothing huge and no real growth over time. It’s much more stable engagement than the preceding 30 days.  But there’s not the nice upswing in overall engagement I was hoping for. There are still a few spikes in terms of engagement, but as you can see, I managed to get those from the prior period as well. Basically, throughout the period it seems to have just raised my daily impression benchmark from 0 to around 100 impressions per day. Here’s the interesting bit on Twitter though. The preceding 30-day period the average daily impressions was 275. That’s when not sharing some content on days at all.  This is skewed by the large spikes here and there though. During the experiment, the daily impressions were lower at only 170. That’s a 38% drop in reach. And, funnily enough, the spikes here are from posts that I shared that were not AI written. The 26th is the big spike where about Google’s HCU. I wrote something As for followers, in both August and September I lost the same number of followers each month. Which is odd. But reach and follower numbers aren’t everything. I use social to drive traffic to my own sites so I can convert them to paying customers. So let’s run a quick breakdown of the 30-day prior period and the 30-day period of the experiment. Twitter engagement 30 day prior Experiment period Change % Engagement rate 5.2% 6.1% 17% Link clicks 17 1 -94% Retweets without comments 10 90 800% Likes 92 86 -6.52% Replies 70 40 -42% Net new subs -7 -7 0% Basically, the AI helped get a huge increase in retweets without comments, but didn’t really help in any other area in a meaningful way. If we look at the % change, they’re overall pretty negative. And the lack of links in the AI posts meant that driving traffic from it was a no-go. I’ve put some template and framework downloads together to help you copy this method. You can request them on my website here. LinkedIn results Let’s look at what it did on LinkedIn. LinkedIn changed the way the algo works just at the start of the experiment, which I think had an impact on how things came out. They seem to be focusing more on useful content now (which is good). Reach has gone down, but many are reporting that meaningful customer engagements are on the rise. Overall the impression looked like this. Again it appears to have raised the bottom baseline of engagement, but had no meaningful impact over time. There’s no gradual upswing in impressions. Funnily enough, in the last 90 days my top performing content by impressions (and engagement) are 3 posts that were manually written. I n terms of followers on LinkedIn, that also doesn’t appear to have changed much. I’ve been through and pulled out the daily stats to compare the 30-day time periods again. LinkedIn engagement Preceding 30 days Experimentation period % change Impressions 6,460 10,190 57.74% Engagements 171 229 33.92% New followers 85 106 24.71% On LinkedIn, it was an increase across the board. And if we again look at the % changes from using AI content, you can see that everything is doing a little better than just manual only posts. What’s funny is that none of the AI posts were the most viewed or the most engaged with. However, they seem to be enough to get people to engage with my account which then helps them see more of the “value-focused” posts. A summary of the results and my thoughts Long story short, the AI content seemed to help increase the daily benchmark of my reach and engagements on social. It also seems to help warm up the algorithms to me. You can see this as the posts that still did the best and got the most engagement and views were the pieces I wrote without AI that focused on real issues my audience faces. I believe this is because the algorithms are slowly filtering out and throttling the reach of low-value posts that could be written by AI. I mean, it’s called social media. It’s for people to that to one another, not regurgitate thoughts and beliefs they’ve heard a thousand times over. Twitter saw much wore results with AI content in all meaningful metrics. However, I actually think that’s because I’m not one of the new Twitter blue people and am not paying to use the platform. Might have been different had I decided to pay that monthly fee to Elon. Maybe that’s the focus for another experiment. Moving forward, I think I will keep using these to grow the baseline engagement from LinkedIn. I’m already spending more time there as the Twitter algo seems to be off right now.  Let’s see how far we can take Linkedin. If you want to try this yourself, here’s what I did. The overall approach of using AI to grow my social account Here’s a quick overview of the process I used to create Ai content for my social accounts. Why use AI for social media marketing? Let’s quickly go over why I used AI for social media marketing. The short version is I thought it might be both fun and instructive. But also, I’m not particularly skilled at writing those snappy one-liners that seem to do so well in the algorithms. Long term It’s a skill I should learn, but short term there’s a way for me to test whether or not this works by using AI. I will say that the process used was not a full 100% reliance on AI. I had it spit out potentials which I then either edited, deleted, or used as is based on my own thoughts and experiences. Here’s the full process I used. I’ve put some template and framework downloads together to help you copy this method. You can request them on my website here. How I built the social media marketing campaign I’ve listed the approach that I used to create and schedule these posts below. Step 1 – Creation of social posts I’ve used ChatGPT and similar tools frequently in the past few weeks and months. I’ve noticed that they give better output if you can give them an example of the kind of thing you want them to create. So, the first step to the whole thing was to go and find a couple of posts from people who get massive social media engagement. I copy and pasted these into a simple document for myself to refer to when asking the AI to write the post. With around 10 example posts, I set off to the AI tool.I decided to use as I find this to be a better tool than Chat GPT. Claude.ai After spinning up a new chat with Claude, created a simple prompt asking it to create 100 Tweets. I also outlined… The way they should be written The niche and topic for the posts The examples I previously found The prompt ended up looking like the below. Claude then spat out 100 options for me to use. I dropped all 100 into a Google Doc for myself to refer to later (which is also available in the downloads here) I’ve put some template and framework downloads together to help you copy this method. You can request them on my website here. Step 2 – Editing the posts Before scheduling anything I wanted to double-check the posts. Last thing I need is for an offensive post or opinion that goes against what I stand for to be in there. I went through all 100 and took one of three actions… OK’d the post for publication Edited it to be more in line with my beliefs Deleted it if there’s no saving it For example, Claude spat out the below as one of the options. This is something I fundamentally disagree with. I think there’s this big focus on becoming an expert before taking action, which only leads to analysis paralysis. The best experts are experts because they took action before knowing all the ins and outs. They learned by doing. And that is the fastest way of learning. So I manually amended the above to… Aligns with my beliefs far closer than just the AI. You’ve got to do this else you risk sharing something that’s just plain wrong. After editing and deleting, I ended up with 90 social posts. Step 3 – Scheduling the messages As mentioned above, I did this on Twitter/X and LinkedIn. Before I actually got to scheduling the posts I had to figure what kind of time split I wanted. With 90 messages, I decided that a 30-day cycle of 3 posts per day would be a good option. It should help warm me up to the algorithm by being “consistent” and it should also work as a good feedback loop for me to quickly understand if this was working. I’m based in the UK and this happened during British Summer Time. The time split I went with was… 10 AM 3 PM 8 PM For the scheduling of the actual messages I used 2 tools. For Twitter, I already had a . This enabled me to spend 30 minutes getting everything uploaded and it took it from there. Typefully account so used that also had some good auto features for things like auto-retweeting and other Typefully It was a great little tool and I would recommend it for Twitter. I didn’t, however, have the Typefully account where I could also share to LinkedIn. And being the cheap bastard I am, I instead went and used free tier of their tool. Buffer’s With Buffer’s free tier you get 10 scheduled posts for free. Just over 3 days with my thrice-a-day posting schedule. I copy and pasted over my approved messages and saved them as drafts. Then, every few days I’d jump in and simply click “add to schedule” for them to be added to my pre-determined share times. Step 4 – Engagement After that, it was just a case of keeping an eye on the engagement and comments from others. If someone left a comment, I’d jump in with a simple reply. I didn’t want to do too much as I wanted to see whether or not the posts could facilitate growth on their own. But that’s the basic approach I took to this. What I would do differently with this AI social media marketing approach The real question is, would I recommend doing this and, if so, what would I recommend doing differently? First off, I would recommend this for brands and creators. It takes next to no time to set up and can help maintain a higher base level of engagement on the platform. Your name will get out in front of people more frequently and you’ll become more of a known entity. That might change as more rules and regulations are brought in by the platforms to combat AI content though. So be careful. As for what I would do differently moving forward, it comes down to content types. I’ve written , here’s how I see them playing out on social and what I would do with them. about content types before Attraction Content – Every day 1-3 times This is the simple AI content that would be shared 1-3 times per day. Basically to keep you showing up in people’s timelines and not let the algorithm “go cold” on you. Buzz content – 1-2 times per week One unique piece per week that helps you get in front of the right people. We’re talking stat heavy pieces that spark conversation, mention posts, etc. Conversion content – Traffic shaping 1-5 times per week 1-5 longer form posts per week that redirect traffic from the social network to my own site. Basically a snippet of something and a “go here to learn more” in the comments. Trust content – Every day for 30 mins 30 minutes per day adding valuable comments to other relevant accounts’ posts to build reach and trust. All in all, that might look something like this. And in addition, I would focus that attention on one social platform. For me, it’ll be LinkedIn as I dislike Twitter/X and get no results there. And then the focus is not on growing on that platform, but on moving people towards my wider growth marketing funnel. If you want to know what I mean by that, check out our . Growth Model Audit here I’ve put some template and framework downloads together to help you copy this method. You can request them on my website here. Also published . here

Is Letting AI Take Over Your Social Media a Good Idea? Here Are the Stats

AI কে আপনার সোশ্যাল মিডিয়া দখল করতে দেওয়া কি একটি ভাল ধারণা? এখানে পরিসংখ্যান আছে

Ist es eine gute Idee, KI Ihre sozialen Medien übernehmen zu lassen? Hier sind die Statistiken

¿Es una buena idea dejar que la IA se apodere de sus redes sociales? Aquí están las estadísticas

Laisser l’IA prendre le contrôle de vos réseaux sociaux est-elle une bonne idée ? Voici les statistiques

क्या AI को आपके सोशल मीडिया पर कब्ज़ा करने देना एक अच्छा विचार है? यहाँ आँकड़े हैं

AI にソーシャル メディアを乗っ取らせるのは良いアイデアですか?ここに統計があります

AI가 소셜 미디어를 장악하도록 하는 것이 좋은 아이디어인가요? 통계는 다음과 같습니다

Deixar a IA assumir o controle de suas mídias sociais é uma boa ideia? Aqui estão as estatísticas

Позволить искусственному интеллекту завладеть вашими социальными сетями — хорошая идея? Вот статистика

Yapay zekanın sosyal medyanızı ele geçirmesine izin vermek iyi bir fikir mi? İşte İstatistikler

Để AI tiếp quản phương tiện truyền thông xã hội của bạn có phải là một ý tưởng hay không? Đây là số liệu thống kê

让人工智能接管你的社交媒体是个好主意吗？这是统计数据

It's a tough time to predict what’s going to happen with cryptocurrency. Some people insist a global recession will crush the market. China’s in rough shape. The Israel-Hamas conflict could spark oil embargoes or World War 3. Ukraine-Russia, too. The European Union is already in a technical recession—two consecutive quarters of negative growth, possibly three once Q3 numbers come out. Doesn’t sound good for so-called “risk assets.” On the other hand, some people insist the worst is behind us and cryptocurrency’s about to start a massive bull run. A sequel, seven years later? If history is our guide, crypto prices should do something comparable to 2016—sideways with big upswings and downswings for weeks or months before a big ZOOM and a big crash, maybe with another ETH hack or the collapse of some big exchange. Of course, history is not always our guide. You can also look at metrics, data, and trends. In my updates for premium subscribers of my newsletter, , I’ve pointed out coincidental similarities with early 2016 on multiple dimensions. Crypto is Easy Macro circumstances. On-chain movements of Bitcoins. Uncanny similarities in some trading indicators. Mirror-image changes in key metrics like Puell Multiple and MVRV Z-Score. Various measures of profit and loss. Long-term and short-term investor behavior. Changes in the composition of HODLers. A few examples among many: Crazy. Even the price action matches 2016’s hugging of the long-term “Fib retracement” of .236, a key psychological level where prices tend to go up and down within a trend. Same fib, as you see as the black lines on this chart: General global economic trends rhyme with what you saw in early 2016: China had started to recover after an economic crisis. The US dollar went up as the US economy and stock market digested rate hikes and a surge in oil prices. Europe struggled. At that time, a Pew research report showed . The International Monetary Fund’s predicted “subdued demand,” “diminished prospects,” and “tilted to the downside.” Some large countries went into recession. 75% of Americans rated the US economy as fair or poor 2016 outlook Coincidences? Yes. Maybe that’s ok. Sometimes, when you overlap a bunch of coincidences from different angles that look at different behaviors across different dimensions as they change over time, and they all match up, you can get a much clearer picture of the market than you’d get from cherry-picking a key chart, projection, or trend. Crypto did not do so bad Crypto did ok in 2016. Up 126% from start to finish. Up 500% from the 2015 bottom to December 31, 2016. All we need now is for a sudden, short-lived burst in prices, a major protocol to collapse, and a major exchange to get hacked. That would match perfectly the ETH DAO debacle and the Bitfinex hack of 2016. Then we can confirm for everybody that the bull market started last year. finally All good either way Fortunately, you have a good allocation to the market with cash in reserve. Now’s a good time to think about your larger portfolio strategy. You can see mine. https://cryptoiseasy.beehiiv.com/p/portfolio-strategy?embedable=true You may want to use this time to reflect on what you have, what you want to have, and what you want to get out of this market. What goals do you have for yourself and your finances? How does cryptocurrency fit into those goals? I'm happy to consult. Let’s connect on or ! Superpeer Tealfeed Or, subscribe to the newsletter, where I give you more perspective, insights, and strategies that can’t fit within this post. Crypto is Easy This post is also available as a collectible NFT on . Mirror https://mirror.xyz/0x9a6600c7B40801dda9A0Fa4E8DE7b1B99FE524a7/6SSy6MkSph6k15ZF69eommjAL_SIBycFaMPGYcPMK9U?embedable=true Mark Helfman publishes the newsletter. He is also the author of three books and a top Bitcoin writer on and . Learn more about him in his and connect with him on or . Crypto is Easy Medium Hacker Noon bio Superpeer Tealfeed

The Key to the Crypto Market: Look at 2016, not 2015 or 2019

The Corner Pub.

Let's learn about via these 52 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Monetization /Learn Repo 1. Viral Memes and NFTs: How Monetization Would Shape Communication on the Internet An image or a video eliciting humor while portraying the thoughts and feelings of a specific audience is a meme. 2. Justify Your Game Price Increase, Don't Just Raise It Games are increasing price, but they haven't been in value. 3. Monetization Strategies to Help Your App Weather the Economic Downturn During an economic downturn, app monetization will be affected. Apps that can succeed during an economic recession differ from those that thrive in upswings. 4. App Monetization Challenges and How to Solve Them The article highlights the five most common challenges that app developers will be facing in 2021 and suggests ways to avoid each of them. 5. Monetizing Your Hacker Noon Stories and Own Website with Coil [A How-To Guide] Adding one line of HTML to your website can start making you money.  No one will see anything different on your site, no one will be tracked because of it. 6. An Introduction to MaaS; Marketplace As a Service 7. What Are the Advantages and Disadvantages of Interstitial Ads? Interstitial ads are getting into trend these days. Click here to know the advantages and disadvantages of interstitial ads and decide what you want. 8. Monetized Comments: The Quickest Way to Get Paid Online? Reader comments on openDemocracy can be highlighted and receive micropayments. This feature changes the way we fund public debate. 9. Add a Buy Me a Coffee Button to Your Website With No Code! Learn how to easily install a button to start accepting cryptocurrency donations on your website using no/low-code solutions from Coinbase Commerce 10. Coil Monetization Shortcuts: The Easy Way To Find Out How Much You Are Making How much do I get from a micro transaction for a user that visits my monetized page? 11. Why Owning LAND on The Sandbox Could Make You Rich Why are so many people buying digital real estate on The Sandbox and how is it going to make them rich? This article explains why you should join them today! 12. Interstitial Ads: How to Boost Revenue While Maintaining UX Some publishers have user experience concerns regarding interstitial ads. A new study shows how to implement interstitial ads while still maintaining UX. 13. Let's Make An API And Sell It APIs are in high demand. Making an API that companies want to use would be even better if you could sell it, too. This is how to do it with every step inside. 14. Old And New Strategies That Help Movie Theaters' Owners Make Money Movie theaters have five methods of making money. The theater's income sources are preview ads, concessions, ticket sales, memberships, and more. 15. Social Media Breakthrough: Yet Another Reason to Get Paid For Watching the Feed Social media was a great invention but the innovative wheel got a bit stuck with Instagram and TikTok. With social media platforms getting a whopping amount of $153 billion last year and scandals like the 6th Facebook breach affecting 533 million users, every user now and then asks hard questions. 16. Monetizing Intellectual Property: A Startup's Path to Revenue Generation The options for monetizing an IP can be daunting. Here are a few ways that startups can go about choosing the IP monetization that's right for them. 17. An Introduction To Web Monetization API A content drop about how to receive payments, where to use, and what is the Web Monetization API 💰 18. Surviving The Covid-19 Crisis with Open Source The COVID-19 crisis has hit the global economy hard, and the software industry was not spared. The long-term effects on the industry are still unclear, but it seems it has become widely acknowledged that the negative impact is going to be massive, and recovery will be slow. 19. Doing My Bit To Help Build the Web Monetization Community I first came across Web Monetization in the Grant for the Web x DEV.to hackathon a few months ago. Elliot and I had been itching to create something together, so we were on the lookout for hackathons that piqued our interests. 20. The Rise of Tech Influencers, Monetization, and the Future of LinkedIn Today, we share our thoughts on B2B influencer marketing, efficiently managing multi-channel distribution and the future of content creators on LinkedIn. 21. 4 Standard Business Models for API Monetization API has been rapidly driving new opportunities for business in last few years. Read in details how top API monetisation models helps in business growth. 22. How We're Integrating Web Monetization into The Search Engine Experience Infinity Search is promoting a new way of web monetization with their web monetized index 23. "The Monetary System Is Completely Screwed Up", Interview with Vesa Kivinen The 2020 #Noonies are here, and they are both much greener and much bigger than last year. 24. How to Make Money from Your Mobile App We've worked with companies all over the world to create incredible mobile applications including online delivery apps and engaged in dating app development. 25. 3 Step Guide to Starting a Podcast Nearly 55% people in America listen to podcasts each month, which translates to about 160 million people. 26. Luive Introduction: Where Music Meets Direct Monetization Whether music is your greatest passion project, full-time career, or favorite hobby, you can now get paid for social media posts about it and support other artists at the same time. It’s all happening right now on LUIVE, the premium social networking and content monetization platform for creators and communities. 27. How I Earned $20 Worth of SAND with Just a Simple Design As part of the BlockchainSpace PH mini-series of competition, their community managers encourage the people to join their weekly contests and win $20 Sand-worth 28. What Does it Takes to Be an Appreneur There was a time, way back when parents hoped their kids would someday become lawyers or doctors. Nowadays, the situation changed, and the meaning of success became much different. So, today people desire to create a viral application, sell it for millions of dollars and achieve the American dream quickly and easily. Not so fast. 29. How NFTs and Breakout Stories Can Help Creators Monetize Content Why NFTs will empower creators to reach financial independence and usher a new era for tech media. 30. Installing Coil Web Monetization on WordPress [A How-To Guide] One of the most exciting applications utilizing the cryptocurrency XRP for payments — with a huge potential to change the way web monetization works — is Coil. 31. What the Future of Open Source Software Will Look Like Open source is the current norm for developer collaboration and customer adoption in software. It is the foundation that enabled unicorns and cloud providers to build their services from the ground up. But that wasn’t always the case with open source, and it is changing and evolving again. 32. 4 Blockchain Projects Leading the Charge Into the Future of Online Monetization Discover which blockchain platforms are enabling both web users and businesses to monetise their time, data, content and more in 2021 and beyond. 33. How To Explore Your Startup Idea With ZERO Money A couple years ago I was teaching a small course at Stanford about Entrepreneurship and I remember the number one question was how to raise money. 34. Top Actionable Tips to Grow a Community: More Tips to Monetize Find this article where it was originally published, on dunncreativess.github.io! Find a Niche! Nobody can promote themselves or their projects if they're a jack of all trades. Nor will people find a universal proposition to be appealing. The first key to success is to ask yourself what your differentiating features are and who is your audience? You can then start to identify your niche. In my case, I noticed that I got a lot more traffic from my money-making code like market making or arbtitrage crypto trading bots than I did from my other GitHub repos. What this means is that while some people are interested in interesting code, there are a lot more people out there interested in turning equity into realized pnl :) 35. On Steemit and DBlog: Because Monetization Rules the Internet A while ago I installed Steempress on my WordPress blog on http://localhost, and Simply Static to export my WordPress site as a static site to local drive and the git commit it to my github.io repository. 36. Monetary Systems and The Future The future of money and the dollar in the world of crypto and Central Bank Digital Currencies - CBDC. What will change and how it might look like? 37. Startup Interview with Itamar, CEO, Anzu.io Operating across mobile, PC, and console platforms, Anzu blends real-world brand ads directly into video games, esports tournaments, and live streams. 38. Online Advertising in The Time of The Consumer Attention Deficit Hyperactivity Syndrome (ADHD) Wikipedia characterizes ADHD symptoms as "difficulty paying attention, excessive activity, and acting without regards to consequences." [1] As we all live in times when not only new generations, but older ones are prone to the syndrome, how to promote and make money on online advertising? 39. 5 Low-Investment Business Ideas You Can Start Online Entrepreneurship definitely is one of the most misconceived terminologies of the era. It seems like a mountain of tasks to start a business. When we think of all the time, money, and risks involved, it’ just seems so inaccessible to a regular man or woman. 40. How To Monetize A Podcast Monetizing a podcast is different from monetizing an ebook or Saas product. The methods for monetizing podcasts are not as obvious as other internet content. In this chapter, I will go over the methods of monetizing a podcast. 41. Metaverse: Prospects for Monetization and Scaling Like Web3, the concept of "metaverse" does not yet have a clear definition. 42. Monetize Your Marketing Campaign and Increase ROI Companies around the world are investing a handsome sum of money in digital marketing to achieve the ultimate goal of maximizing their ROI. 93% of CMOs say that they are under constant pressure to show concrete results and deliver measurable ROI from their marketing investments. 43. Solving for Real ‘Real-Time’ API Monetization The API Monetization Platform under consideration had an option of choosing between Pay-Per-Use (PPU), Pay-Fixed-Rate (PFR), lease-based, subscription-based and 44. How Podcasts Make Money: A Guide for Complete Beginners Do you want to set up your own tech podcast and make money from it? Let me teach you to successfully start your podcast in this article. 45. Meet The Platforms Leading People into the Passion Economy ?In the 20th-century economy, most of us had to find a way to fit into the workforce. Passion-driven careers, 46. The Monetization Model for A Decentralized Web/dWeb [Deep Dive] This is a second article in the ‘Decentralized web / dWeb’ series. To get an idea on what the dWeb is please check — this article. 47. How Will Gen Z Pay for The Content They Consume? They never had to directly pay for the news, but Gen Z won’t kill off the digital publisher. Technology is giving publishers the tools to engage the ‘lost’ generation. 48. THE HELLADOGE MANIFESTO: Why Web3 Ads are Like Instagram Ads on Steroids Ok, this might sound like shameless self-promo, but I’m hoping you will indulge me. I hope Hackernoon lets me run this article - I think they’ll let it slide cause Utsav is the homie, and also because if you can look past the self-promotion you will see I’m making an important philosophical point. 49. Media Products vs The Rest: The High Leverage Phenomenon In Media Products Hulu purchased the rights of Seinfeld in 2015 for $150 Million. For the same deal after 4 years Netflix wrote a check of $400 Million. During these 4 years, neither Larry David nor Jerry Seinfeld (creators of Seinfeld) has done any new work for the show. 50. How I Make $2,000 a Month from One Medium Article This article I wrote on Medium earns me over $2,000 a month. 51. How We Achieved $1M ARR in Six  Months On 25 January 2017, we launched Setapp. In six months, we had already achieved $1 million ARR (Annual Recurring Revenue), reaching over $4 million now, November, 2019. 52. The Creator Economy of Gaming & New Monetization Models Unlock 3 market opportunities to help game creators and game players make money, and monetize game tech by solving real problems Thank you for checking out the 52 most read stories about Monetization on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

52 Stories To Learn About Monetization

271 Stories To Learn About Growth Marketing

Let's learn about via these 32 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Angel Investors /Learn Repo 1. Tax Sketches Raises $1m in Funding to Build the Future of Legal Tech LegalTech-project Tax Sketches has attracted a round of $ 1 million from a private angel investing in fintech and legaltech projects. 2. Bootstrapping, Fundraising Or Both? How A Gritty Approach Helped Allie Magyar Raise Capital After years of running events for huge companies, Allie Magyar decided she was spending too much of her time hovering over a fax machine. 3. How Many Is "Too Many" Investors? Brex Founder Henrique Duburas Believes You Should Pack Your Cap Table With As Many Investors As Possible 4. How To De-Risk Your Startup And Become ‘Definitely Fundable’ Immad Akhund has invested in 100+ startups and was a Y Combinator Partner. Here are his tips for raising capital. 5. Building an E-Sports Empire: How John Fazio Took Nerd Street Gamers from Bootstrap to $25 Million John Fazio built Nerd Street Gamers into an in esports and gaming infrastructure by finding premier investors who align strongly with his vision. 6. Fundraising: No One is Going to Do It For You My "Tough Love" Talk To Founders Who Are Struggling To Raise Capital 7. The Ultimate Startup Conflict: Can You Chase Growth and Profitability at the Same Time? Bill Boebel is good at seeing things from different angles. 8. What An Investor Needs to Feel to Say Yes to Your Startup A Previous VC Reveals What Matters More Than Your Pitch Deck. 9. Hacking Your Way to the Best Angel Investing Deals Means More Transparent Deal Flows When you hear someone say they are an “angel investor,” you may assume they have access to a large disposable income, but that's no longer the case. 10. Startup Advice: Zebra, not Unicorn. Focus on creating products that the market needs and chasing customers, not on creating the perfect pitch for investors that see you as a commodity. 11. 8 Types of Investors for Your Small Business Wondering how to find investors for your startup? Finding the right investor is key to the success of your business. 12. Angel Investors Look At These 4 Things Before Investing In Your Startup Angel investors undertake due diligence before they invest in startups. They look at the management team, financials, plans for the funds, and more. 13. The Unusual Strategy This Entrepreneur Used To Raise Most of His Round Before It Even Started A few years ago, Matthew Klein and his brother Andrew saw that the retail landscape was changing and that companies needed more agility than ever. 14. Here's Why We Invested in Turing — The Future of CPG Formulation Iteration is the new innovation… 15. The Future of Funding is Here! IDOs, or Initial DEX Offerings, are a new form of crowdfunding that have gained popularity in the cryptocurrency and blockchain space. 16. How to Choose the Right Partners in a Venture Capital Fund When you are searching for the right venture capital fund, there are a lot of factors that can go into deciding which fund to choose. 17. 6 Signs That You’re Ready To Invest In An Early-Stage Startup Here's a look at the six signs that you may be ready to invest in an early-stage startup. 18. How Allison and Gregory Robinson  Raised $11 Million For "The Mom Project" Gregory Robinson’s Fundraising Journey For A Market That Helps Women Return To The Workforce (As told to Nathan Beckord) 19. Can You Join the Startup World Without Quitting Your Job? (a.k.a. How to Invest Like a Sophisticated Poker Player) 20. 10 Things You Do After You Sell Your Startup 21. Institutional Investors Are FINALLY Giving DeFi The Attention It Deserves Excitably, I FINALLY get to announce that institutions are pouring nearly 58 million dollars a week into Bitcoin! Oh, and Jr over there, Ethereum is seeing nearly $10M/USD in trades, weekly. 22. Why Startups May Fail to Get Funding in 2022 If you want to start your business but don't know where to get capital, you need to find out who the investors are and why they are ready to sponsor startups. 23. How An "Underdog" Founder Raised $4.7 Million To Build A Plastic-Free Grocery Delivery Service Zuleyka Strasner raised $4.7 million for her environmentally-friendly store Zero Grocery in two years. She shares her advice on fundraising seed rounds. 24. Portfolio Construction & Performance for New Investors: An Interview with Abdulaziz Hayat The global market is now on the upswing; worldwide vaccination drives have brought businesses back from the seemingly never-ending pandemic slump. 25. Three Non-Obvious Fundraising Tips from the Startup Veterans Behind Lovevery When friends Jessica Rolph and Rod Morris partnered to launch Lovevery in 2015, the two founders already had massive success stories under their belts. Jessica previously had a successful exit from organic baby food company Happy Family, which she founded. Rod helped take SaaS utility platform Opower public as part of the company’s leadership team. Despite their wealth of past experience, Jessica and Rod had plenty to learn when fundraising for Lovevery, a subscription business that puts sustainable, science-backed play kits into the hands of parents. As parents themselves, Jessica and Rod knew their idea had legs when they began working on it — but they still felt “very vulnerable” during the fundraising process, according to Jessica. “With the success we had in the raises, on the outside they [seemingly] came easily,” Jessica says. “But on the inside, getting to that place where you have momentum is hard.” As they grew Lovevery, they found fundraising successfully was all about the timing. On an episode of How I Raised It, Jessica and Rod shared the lessons that came from raising $32 million for Lovevery over three funding rounds. 26. How to Make Crypto Simple and Trustworthy: CryptoEQ Cofounder Interview Houston, Texas “Would you ever invest in something you don’t understand?” Spencer Randall asked me. It is a compelling question, one of the challenges preventing mass cryptocurrency adoption. “People don’t understand Bitcoin and other cryptocurrencies. That’s why we’re here to share our insights, analysis, and make more people aware of this asset class.” 27. "Our magic is 360-degree Market Analysis, Trading Signals & Sentiment Analysis" - Spencer Randall Houston, Texas “Would you ever invest in something you don’t understand?” Spencer Randall asked me. It is a compelling question, one of the challenges preventing mass cryptocurrency adoption. “People don’t understand Bitcoin and other cryptocurrencies. That’s why we’re here to share our insights, analysis, and make more people aware of this asset class.” 28. The Pitch Deck That Makes Investors Say Yes In these uncertain times of Covid-19 and lockdown, it’ll come as no surprise to say that investments, as with everything else, have taken a bit of a hit. In France alone, investment was down 30% in April compared to April 2019. But, not to despair! Despite the current climate, investors are indeed still active. 29. When Technological Innovation Meets Venture Capitalism “You have to debug your business model.” 30. A Tale of Two Pitch Decks You arrive at a fork in the road. Rain pours down, with no end in sight. You are running out of resources, namely money, from which most resources are derived, including food and basic shelter. You are unable to make money out of the surrounding forest. Everything is very wet, you don’t have a saw, or a printer, or green ink. You have just listed three things you think go into the formation of paper currency, but you are generally unsure. You have now wasted an additional sixty seconds, for which you will never get back. Your inventory consists of:1. A business idea that you think is pretty good.2. A mobile app for your business that mostly works3. A pitch deck that you believe represents your true mission (but also says “fuck” on the first slide)4. A pitch deck that is for a similar but different business. (A positioning more enticing to investors.)5. Enough money to last you approximately two to three months 6. A 1952 Topps Mickey Mantle rookie cardWhat do you do?> Try to sell Mickey Mantle cardYou take a risk and leave the fork in the road in search of the nearest collectible merchandise shop. During the treacherous journey, you fail to answer a troll’s riddle and are forced to give up more money. You finally arrive at a collectibles shop. Your hope meter increases by 20%. The Mickey Mantle card is valued at approximately $5 million USD. Your reach into your jeans pocket. You present the store clerk with a soggy ball of cardboard which drips yellow and blue ink all over the counter. I told you the pouring rain showed no signs of stopping. The clerk feels bad for you and is willing to give you $5 USD. You accept.Now what?> Extract ink from counter. 31. How to Protect Your Business in Times of Crisis Protecting Your Business in Times of Crisis 32. Bet on the Jockey, Not the Horse: What Angel Investors Look for in Startups [Expert Interview] To find out exactly what angel investors look for in entrepreneurs and their startups, we sat down with angel investor Armando Biondi. Thank you for checking out the 32 most read stories about Angel Investors on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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