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Trader Turned $16 into $3 Million in Two Weeks: Here's How
From $16 to $3 Million: The Incredible Success Story of the Memecoin Peanut The Squirrel (PNUT) Trader.
How Was It Done?
When this trader made their initial investment from their wallet named “6r3w,” the memecoin Peanut The Squirrel (PNUT) was still available on the launchpad Pump.fun — a platform designed to allow anyone to create a token quickly and affordably, (fun fact: since the start of this year, this platform has been responsible for the launch of over 3 million new tokens, making it a popular tool among cryptocurrency enthusiasts and developers).
At the time of the trader’s purchase, PNUT had a market capitalization of just $10,000. The purchase occurred on October 31, 2024, when the trader invested $16, paying approximately $0.0000045 per token.
|| Total Investment: $16 | Price per Token: $0.0000045 ||
With this $16 investment, the trader would have acquired approximately 3,555,556 PNUT tokens.
Current Price of PNUT
This is the token’s price as of the publication of this article
Information sourced from CoinGecko.com
The Story That Inspired This Token
The story of Peanut began when Mark Longo rescued and cared for her, sharing her life on social media where the squirrel amassed over 600,000 followers, people adored it!
Peanut became the face of a nonprofit organization called “Peanut’s Freedom Farm,” which provides a safe home for over 300 animals. However, things took a sad turn when the New York Department of Environmental Conservation decided to confiscate Peanut, citing health concerns, Peanut was subsequently euthanized due to potential rabies risks.
The news of Peanut’s confiscation and euthanasia sparked a wave of public outrage and support on social media, figures like Elon Musk and Donald Trump criticized the actions of the Department of Environmental Conservation, calling the case an example of government overreach.
Connection to the PNUT Token
In response to the public outcry, the meme cryptocurrency PNUT was launched on the Solana blockchain as a tribute to Peanut.
The token quickly gained popularity, especially after Elon Musk tweeted about Peanut, within just 24 hours, PNUT’s market capitalization surged from approximately $3 million to $140 million.
The story reached new heights when Binance announced that PNUT would be listed on its platform, further driving demand for the token.
Market Conditions
As mentioned earlier, this token was inspired by a story that garnered significant attention on social media likely driving its growth and popularity, as analyzed in other articles, the influence of social media on a cryptocurrency’s success can be a critical ingredient for its rise.
Memecoins: How Humor and Community Shape Crypto Success
It could be said that market conditions played in favor of this investor, as there was already significant hype around what this coin represented even before it became a trend — it already had over 500,000 followers on Instagram (incredible!), this opportunity did not go unnoticed by this investor, who seems to have skillfully capitalized on the market circumstances.
When PNUT’s price surged by 247%, and the coin’s market cap reached $530 million, the investor behind the wallet named “6r3w” sold over $95,000 worth of PNUT — not bad, but this was only the beginning.
On the news that Peanut did not in fact have rabies (as was alleged), public outrage soared and the meme coin skyrocketed another 390%, from $462 million to $2.2 billion.
It was at this point that the trader decided to sell the remainder of their coins, resulting in a profit of $3 million from an initial $16 investment in just two weeks.
Wallet History
An analysis of the transaction history of the wallet identified as “6r3w” reveals a consistent pattern of investments in tokens created through the Pump.fun platform.
This investor has made multiple purchases of tokens at low prices followed by sales at higher prices, securing profits on several occasions.
However, none of these prior transactions reached the scale of the profit obtained with the PNUT token, where an initial $16 investment was transformed into approximately $3 million over a two-week period.
Luck or strategy? What do you think?
#memecoin🚀🚀🚀 #altcoins #DEFİ #pumpingsoon #BtcNewHolder
(𝑳𝒐𝒐𝒌𝒊𝒏𝒈 𝒇𝒐𝒓 𝒂 𝒄𝒓𝒚𝒑𝒕𝒐 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒄𝒓𝒆𝒂𝒕𝒐𝒓? 𝑳𝒆𝒕’𝒔 𝒄𝒐𝒏𝒏𝒆𝒄𝒕! 𝑰 𝒄𝒂𝒏 𝒄𝒓𝒂𝒇𝒕 𝒆𝒏𝒈𝒂𝒈𝒊𝒏𝒈 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒊𝒏 𝑬𝒏𝒈𝒍𝒊𝒔𝒉, 𝑺𝒑𝒂𝒏𝒊𝒔𝒉, 𝒐𝒓 𝑷𝒐𝒓𝒕𝒖𝒈𝒖𝒆𝒔𝒆)
How Was It Done?
When this trader made their initial investment from their wallet named “6r3w,” the memecoin Peanut The Squirrel (PNUT) was still available on the launchpad Pump.fun — a platform designed to allow anyone to create a token quickly and affordably, (fun fact: since the start of this year, this platform has been responsible for the launch of over 3 million new tokens, making it a popular tool among cryptocurrency enthusiasts and developers).
At the time of the trader’s purchase, PNUT had a market capitalization of just $10,000. The purchase occurred on October 31, 2024, when the trader invested $16, paying approximately $0.0000045 per token.
|| Total Investment: $16 | Price per Token: $0.0000045 ||
With this $16 investment, the trader would have acquired approximately 3,555,556 PNUT tokens.
Current Price of PNUT
This is the token’s price as of the publication of this article
Information sourced from CoinGecko.com
The Story That Inspired This Token
The story of Peanut began when Mark Longo rescued and cared for her, sharing her life on social media where the squirrel amassed over 600,000 followers, people adored it!
Peanut became the face of a nonprofit organization called “Peanut’s Freedom Farm,” which provides a safe home for over 300 animals. However, things took a sad turn when the New York Department of Environmental Conservation decided to confiscate Peanut, citing health concerns, Peanut was subsequently euthanized due to potential rabies risks.
The news of Peanut’s confiscation and euthanasia sparked a wave of public outrage and support on social media, figures like Elon Musk and Donald Trump criticized the actions of the Department of Environmental Conservation, calling the case an example of government overreach.
Connection to the PNUT Token
In response to the public outcry, the meme cryptocurrency PNUT was launched on the Solana blockchain as a tribute to Peanut.
The token quickly gained popularity, especially after Elon Musk tweeted about Peanut, within just 24 hours, PNUT’s market capitalization surged from approximately $3 million to $140 million.
The story reached new heights when Binance announced that PNUT would be listed on its platform, further driving demand for the token.
Market Conditions
As mentioned earlier, this token was inspired by a story that garnered significant attention on social media likely driving its growth and popularity, as analyzed in other articles, the influence of social media on a cryptocurrency’s success can be a critical ingredient for its rise.
Memecoins: How Humor and Community Shape Crypto Success
It could be said that market conditions played in favor of this investor, as there was already significant hype around what this coin represented even before it became a trend — it already had over 500,000 followers on Instagram (incredible!), this opportunity did not go unnoticed by this investor, who seems to have skillfully capitalized on the market circumstances.
When PNUT’s price surged by 247%, and the coin’s market cap reached $530 million, the investor behind the wallet named “6r3w” sold over $95,000 worth of PNUT — not bad, but this was only the beginning.
On the news that Peanut did not in fact have rabies (as was alleged), public outrage soared and the meme coin skyrocketed another 390%, from $462 million to $2.2 billion.
It was at this point that the trader decided to sell the remainder of their coins, resulting in a profit of $3 million from an initial $16 investment in just two weeks.
Wallet History
An analysis of the transaction history of the wallet identified as “6r3w” reveals a consistent pattern of investments in tokens created through the Pump.fun platform.
This investor has made multiple purchases of tokens at low prices followed by sales at higher prices, securing profits on several occasions.
However, none of these prior transactions reached the scale of the profit obtained with the PNUT token, where an initial $16 investment was transformed into approximately $3 million over a two-week period.
Luck or strategy? What do you think?
#memecoin🚀🚀🚀 #altcoins #DEFİ #pumpingsoon #BtcNewHolder
(𝑳𝒐𝒐𝒌𝒊𝒏𝒈 𝒇𝒐𝒓 𝒂 𝒄𝒓𝒚𝒑𝒕𝒐 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒄𝒓𝒆𝒂𝒕𝒐𝒓? 𝑳𝒆𝒕’𝒔 𝒄𝒐𝒏𝒏𝒆𝒄𝒕! 𝑰 𝒄𝒂𝒏 𝒄𝒓𝒂𝒇𝒕 𝒆𝒏𝒈𝒂𝒈𝒊𝒏𝒈 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒊𝒏 𝑬𝒏𝒈𝒍𝒊𝒔𝒉, 𝑺𝒑𝒂𝒏𝒊𝒔𝒉, 𝒐𝒓 𝑷𝒐𝒓𝒕𝒖𝒈𝒖𝒆𝒔𝒆)
Definitive Guide to Avoid Scams in Altcoins and Memecoins
This guide aims to provide essential practices to ensure safe purchases of altcoins or memecoins, identify legitimate opportunities, and avoid falling victim to fraud or scams.
If you’re active on social media and the crypto community, you’ve likely seen the image of a boy that went viral recently.
If you’re not familiar, here’s a brief explanation:
On November 20, 2024, a young Gen Z trader (approximately 13 years old) became “famous” in the crypto community for executing a rug pull — scamming many people on the popular site pump.fun.
How did he do it?
He created a token on Solana (SOL) called $QUANT, leveraging the enthusiasm surrounding new crypto projects. He launched the token and listed it on a decentralized exchange (DEX), attracting investors’ attention and netting a huge influx of buyers — then, on literally the same day during a live stream, he scammed several people by selling 51 million tokens for 128 Solana (approximately $30,000 at time of writing). This brazen move effectively commandeered all the funds that had been put into the token, leaving investors unable to either sell or otherwise recover their funds.
Incidents like this raise a critical question for investors, especially those new to the space: How can we reduce the risk when investing in such assets?
There are certain “best practices” or strategies every trader should (ideally) consider before investing in any project or token. While not mandatory, it’s worth being familiar with them:
AltCoins
Do Your Homework: Research Thoroughly
The number one rule for any investment is to research before committing your money. Make sure to:
Research the project team: Legitimate projects typically have transparent founders and developers. If there’s no information about the people behind the investment, proceed with caution. Developers should provide regular updates and engage with the community. Always verify if the team and announced partnerships are real.
Roadmap and Whitepaper: A clear roadmap or whitepaper detailing the project’s vision and goals is a positive sign. Be wary of projects with vague or nonexistent plans.
Community and Social Media: An active and engaged community is crucial for a coin’s success. However, the growth should be organic. For instance, active discussions on platforms like Discord, Telegram, or Twitter indicate a healthy community.
Be suspicious of projects that seem overhyped without justification or promise unrealistic gains. Also, avoid projects that rely solely on paid promotions or bots to generate buzz.
AI-generated image
Recognize Warning Signs
Scams are more common than you might think. Stay alert to red flags that could indicate fraudulent schemes or bad actors, including but not limited to:
Pump-and-Dump Schemes
These scams operate as follows: Scammers select a coin, usually with low liquidity or value, and promote it massively on social media within the crypto community. They use flashy, unrealistic messages that create exaggerated expectations, enticing people to buy. This artificial demand quickly drives up the coin’s price.
However, once the price reaches a high level, the scammers sell their holdings, causing the coin’s value to crash. The collapse occurred because the price was based solely on the social media “hype,” with no real fundamentals. Those who bought late end up stuck with worthless tokens, suffering significant financial losses.
Being critical, researching, and staying alert to such practices is key to protecting your investments.
Unaudited Smart Contracts
Ensure the token’s smart contract has been audited by a reputable organization. Smart contracts are the backbone of many cryptocurrencies, and if not properly audited, they are more likely to contain vulnerabilities or malicious intent (SCAM). An unaudited contract could allow developers to drain liquidity funds or unilaterally change the rules, altering the token’s features. To avoid risks, look for security certifications and check the audit’s reputation before investing.
Lack of Liquidity
Projects with low liquidity are easier to manipulate and harder to sell if prices drop suddenly. Check if the token has sufficient liquidity locked in a reliable pool and ensure it’s not solely controlled by the developers. Liquidity is essential to guarantee you can buy or sell a token without drastically impacting its price. Low liquidity often signals high risk.
Other tips to consider for memecoins
Use well-known exchanges like Binance, Coinbase, or Kraken to buy memecoins. Using sites like pump.fun exposes you to extremely high risk, as virtually anyone can create a token there.
Use secure wallets and transfer your coins to a safe wallet. Hardware wallets (e.g., Ledger, Trezor) are ideal for long-term storage.
If you haven’t already, enable two-factor authentication (2FA) on all your accounts to prevent unauthorized access.
Plan Your Exit Strategy
Memecoins can experience rapid price spikes followed by abrupt drops. Having a clear plan to maximize gains and minimize losses is crucial for any investment.
Set Clear Goals: Decide in advance at what price you’ll take profits or limit losses.
Identify Short- or Long-Term Goals: Develop a short-term strategy (for quick profits) and a long-term strategy (prioritizing solid projects with strong fundamentals).
Use technical analysis tools (charts, indicators) and consider fundamental analysis (news, project development, partnerships) to guide your objectives and strategies.
Avoid FOMO
The fear of missing out often leads to impulsive decisions. Stick to your plan and avoid chasing the hype. Remember to research before investing and trust your strategy. There will always be new opportunities to invest — you don’t need to “catch” every market move.
Conclusion
Altcoins and memecoins offer a unique opportunity to have fun and potentially achieve significant returns. However, they also carry substantial risks, so it’s essential to take precautions before committing your money to a specific project or token.
Remember: The key to success lies in staying informed, diversifying your investments, and acting cautiously. In the world of altcoins and memecoins, knowledge is your best defense.
(𝑳𝒐𝒐𝒌𝒊𝒏𝒈 𝒇𝒐𝒓 𝒂 𝒄𝒓𝒚𝒑𝒕𝒐 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒄𝒓𝒆𝒂𝒕𝒐𝒓? 𝑳𝒆𝒕’𝒔 𝒄𝒐𝒏𝒏𝒆𝒄𝒕! 𝑰 𝒄𝒂𝒏 𝒄𝒓𝒂𝒇𝒕 𝒆𝒏𝒈𝒂𝒈𝒊𝒏𝒈 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒊𝒏 𝑬𝒏𝒈𝒍𝒊𝒔𝒉, 𝑺𝒑𝒂𝒏𝒊𝒔𝒉, 𝒐𝒓 𝑷𝒐𝒓𝒕𝒖𝒈𝒖𝒆𝒔𝒆)
#defi #web3 #crypto #altcoins #memecoin🚀🚀🚀
If you’re active on social media and the crypto community, you’ve likely seen the image of a boy that went viral recently.
If you’re not familiar, here’s a brief explanation:
On November 20, 2024, a young Gen Z trader (approximately 13 years old) became “famous” in the crypto community for executing a rug pull — scamming many people on the popular site pump.fun.
How did he do it?
He created a token on Solana (SOL) called $QUANT, leveraging the enthusiasm surrounding new crypto projects. He launched the token and listed it on a decentralized exchange (DEX), attracting investors’ attention and netting a huge influx of buyers — then, on literally the same day during a live stream, he scammed several people by selling 51 million tokens for 128 Solana (approximately $30,000 at time of writing). This brazen move effectively commandeered all the funds that had been put into the token, leaving investors unable to either sell or otherwise recover their funds.
Incidents like this raise a critical question for investors, especially those new to the space: How can we reduce the risk when investing in such assets?
There are certain “best practices” or strategies every trader should (ideally) consider before investing in any project or token. While not mandatory, it’s worth being familiar with them:
AltCoins
Do Your Homework: Research Thoroughly
The number one rule for any investment is to research before committing your money. Make sure to:
Research the project team: Legitimate projects typically have transparent founders and developers. If there’s no information about the people behind the investment, proceed with caution. Developers should provide regular updates and engage with the community. Always verify if the team and announced partnerships are real.
Roadmap and Whitepaper: A clear roadmap or whitepaper detailing the project’s vision and goals is a positive sign. Be wary of projects with vague or nonexistent plans.
Community and Social Media: An active and engaged community is crucial for a coin’s success. However, the growth should be organic. For instance, active discussions on platforms like Discord, Telegram, or Twitter indicate a healthy community.
Be suspicious of projects that seem overhyped without justification or promise unrealistic gains. Also, avoid projects that rely solely on paid promotions or bots to generate buzz.
AI-generated image
Recognize Warning Signs
Scams are more common than you might think. Stay alert to red flags that could indicate fraudulent schemes or bad actors, including but not limited to:
Pump-and-Dump Schemes
These scams operate as follows: Scammers select a coin, usually with low liquidity or value, and promote it massively on social media within the crypto community. They use flashy, unrealistic messages that create exaggerated expectations, enticing people to buy. This artificial demand quickly drives up the coin’s price.
However, once the price reaches a high level, the scammers sell their holdings, causing the coin’s value to crash. The collapse occurred because the price was based solely on the social media “hype,” with no real fundamentals. Those who bought late end up stuck with worthless tokens, suffering significant financial losses.
Being critical, researching, and staying alert to such practices is key to protecting your investments.
Unaudited Smart Contracts
Ensure the token’s smart contract has been audited by a reputable organization. Smart contracts are the backbone of many cryptocurrencies, and if not properly audited, they are more likely to contain vulnerabilities or malicious intent (SCAM). An unaudited contract could allow developers to drain liquidity funds or unilaterally change the rules, altering the token’s features. To avoid risks, look for security certifications and check the audit’s reputation before investing.
Lack of Liquidity
Projects with low liquidity are easier to manipulate and harder to sell if prices drop suddenly. Check if the token has sufficient liquidity locked in a reliable pool and ensure it’s not solely controlled by the developers. Liquidity is essential to guarantee you can buy or sell a token without drastically impacting its price. Low liquidity often signals high risk.
Other tips to consider for memecoins
Use well-known exchanges like Binance, Coinbase, or Kraken to buy memecoins. Using sites like pump.fun exposes you to extremely high risk, as virtually anyone can create a token there.
Use secure wallets and transfer your coins to a safe wallet. Hardware wallets (e.g., Ledger, Trezor) are ideal for long-term storage.
If you haven’t already, enable two-factor authentication (2FA) on all your accounts to prevent unauthorized access.
Plan Your Exit Strategy
Memecoins can experience rapid price spikes followed by abrupt drops. Having a clear plan to maximize gains and minimize losses is crucial for any investment.
Set Clear Goals: Decide in advance at what price you’ll take profits or limit losses.
Identify Short- or Long-Term Goals: Develop a short-term strategy (for quick profits) and a long-term strategy (prioritizing solid projects with strong fundamentals).
Use technical analysis tools (charts, indicators) and consider fundamental analysis (news, project development, partnerships) to guide your objectives and strategies.
Avoid FOMO
The fear of missing out often leads to impulsive decisions. Stick to your plan and avoid chasing the hype. Remember to research before investing and trust your strategy. There will always be new opportunities to invest — you don’t need to “catch” every market move.
Conclusion
Altcoins and memecoins offer a unique opportunity to have fun and potentially achieve significant returns. However, they also carry substantial risks, so it’s essential to take precautions before committing your money to a specific project or token.
Remember: The key to success lies in staying informed, diversifying your investments, and acting cautiously. In the world of altcoins and memecoins, knowledge is your best defense.
(𝑳𝒐𝒐𝒌𝒊𝒏𝒈 𝒇𝒐𝒓 𝒂 𝒄𝒓𝒚𝒑𝒕𝒐 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒄𝒓𝒆𝒂𝒕𝒐𝒓? 𝑳𝒆𝒕’𝒔 𝒄𝒐𝒏𝒏𝒆𝒄𝒕! 𝑰 𝒄𝒂𝒏 𝒄𝒓𝒂𝒇𝒕 𝒆𝒏𝒈𝒂𝒈𝒊𝒏𝒈 𝒄𝒐𝒏𝒕𝒆𝒏𝒕 𝒊𝒏 𝑬𝒏𝒈𝒍𝒊𝒔𝒉, 𝑺𝒑𝒂𝒏𝒊𝒔𝒉, 𝒐𝒓 𝑷𝒐𝒓𝒕𝒖𝒈𝒖𝒆𝒔𝒆)
#defi #web3 #crypto #altcoins #memecoin🚀🚀🚀
Artificial Intelligence and Cryptocurrencies: Everything You Need to Know
Discover How Artificial Intelligence Is Transforming Decentralized Finance ⬇️⬇️
The convergence of artificial intelligence (AI) and cryptocurrencies has led to significant innovations in the realm of financial technology.
This guide is designed for beginners, and explores the historical development of AI within the crypto ecosystem, its main functions, and how it has influenced areas such as security, efficiency, decentralized applications (dApps) and trading.
By the end of this article, you’ll have a clear understanding of how AI is reshaping the world of cryptocurrencies.
1. History of AI Development in Crypto
To understand how Artificial Intelligence (AI) connects with decentralized economies, it’s essential to analyze the history and origins of both fields. This allows us to see how they converge to work together as we know them today.
Historical Development
1.1. The Beginnings of Cryptocurrencies
In 2008, an individual (or group) under the pseudonym Satoshi Nakamoto published the Bitcoin whitepaper, introducing a decentralized digital currency based on blockchain technology.
This system emerged as a response to traditional financial systems, proposing a peer-to-peer model that eliminates intermediaries such as banks or governments, thus began the decentralized economies we know today.
1.2. The Evolution of Blockchain
In 2015, Vitalik Buterin, a 19-year-old Russian-Canadian, launched Ethereum, a platform that introduced not only its own cryptocurrency (Ether or ETH) but also “smart contracts”: these contracts are digital programs that execute automatically when predefined conditions are met, eliminating the need for intermediaries. This innovation enabled the creation of decentralized applications (dApps) and fueled the development of decentralized economy projects, such as DAOs (Decentralized Autonomous Organizations).
These advancements transformed blockchain from being merely a payment system to a tool for developing complex applications like decentralized finance (DeFi), gaming (GameFi) and non-fungible tokens (NFTs). Eventually, other protocols like Solana, Cardano, and Polkadot emerged, offering solutions focused on scalability and transaction speed.
1.3. The Current State of Crypto
Today, cryptocurrencies and their applications include DeFi, NFTs, Web3 and the Metaverse, aiming to integrate more advanced technologies to optimize networks and services, as of the writing of this article (December 2024), various governments and leaders worldwide have expressed support for and even acquired cryptocurrencies, whether for national reserves or other purposes.
Real Examples
🌠 In 2021, El Salvador adopted Bitcoin as legal tender and continues to increase its reserves.
🌠 In 2024, the Central African Republic also showed interest in implementing cryptocurrencies in its economy.
🌠 Institutional companies and funds, such as BlackRock and Fidelity, have driven the adoption of digital assets through the creation and approval of spot Bitcoin ETFs.
News like the approval of Bitcoin ETFs and the growing interest in other cryptocurrencies, such as XRP, highlight the increasing acceptance and implementation of this new economy and the projects that come with it.
However, the rising need to handle large volumes of data and make quick decisions has paved the way for the incorporation of Artificial Intelligence (AI) in the crypto ecosystem- AI not only optimizes operations and processes but also enhances security, efficiency and the development of decentralized applications.
But how did we start integrating Artificial Intelligence?
Historical Development
2.1. The Early Stages of AI: A Revolutionary Idea
Artificial Intelligence (AI) formally began in 1956 with the Dartmouth Conference, where the concept of creating machines capable of mimicking human intelligence was first introduced. However, progress in AI was slow during the following decades due to computational limitations and insufficient data to train models.
In the 1990s and 2000s, Machine Learning marked a significant turning point in AI development: this subfield enabled the creation of advanced models such as neural networks, designed to identify complex patterns within large volumes of data. These innovations transformed key industries, including market analysis, healthcare and automation, laying the foundation for modern advancements in artificial intelligence.
2.3. The Revolution of Deep Learning and Generative AI
Between 2010 and 2012, the emergence of Deep Learning and models based on Artificial Neural Networks enabled AI to achieve significant advancements in voice recognition, computer vision, and Natural Language Processing (NLP), companies such as Google, Apple (Siri) and Amazon (Alexa) adopted these technologies.
NLP development gained momentum with models like Word2Vec (2013), GPT (2018) and BERT (2019), facilitating an advanced understanding of human language, by 2022–2023, generative AI (e.g., ChatGPT and DALL·E) rose to prominence, enabling automated and optimized content creation.
2. Convergence Between Artificial Intelligence and the Decentralized Economy
The Beginnings of AI in the Crypto World (2014–2018)
The initial attempts to integrate artificial intelligence (AI) into the cryptocurrency world emerged between 2014 and 2016, these efforts primarily focused on using basic algorithms for market analysis and detecting patterns in cryptocurrency prices.
Between 2017 and 2018, during the rise of Initial Coin Offerings (ICOs), the increased volume of data allowed developers to create more sophisticated AI models for precise market analysis. This evolution was driven by the need to analyze vast amounts of information efficiently and make rapid decisions.
However, the first significant integration of AI into the crypto ecosystem occurred between 2016 and 2018 when trading platforms and exchanges began experimenting with AI to optimize automated trading and improve decision-making, these innovations enabled the implementation of more advanced algorithmic trading systems capable of identifying real-time opportunities and executing trades automatically.
The Era of Smart Contracts and dApps
Since 2018, artificial intelligence has been implemented not only in algorithmic trading but also to enhance the security and efficiency of blockchain networks, with the expansion of Ethereum, smart contracts and dApps, more complex challenges arose, such as optimizing gas fees, securing smart contracts and improving user experience (UX).
Between 2020 and 2021, AI started playing a crucial role in automated security audits and optimizing DeFi platforms: AI-powered tools enabled the identification of vulnerabilities in smart contracts, risk mitigation and the optimization of decentralized financial platforms’ performance, fostering greater adoption and trust in this emerging ecosystem.
Evolution and Recent Advances
In 2024, the integration of artificial intelligence (AI) into blockchain protocols is a reality! AI has been implemented to improve scalability, avoid human errors and increase operational efficiency within networks.
Additionally, there has been significant progress in the development of “intelligent dApps”: decentralized applications that leverage AI to deliver more personalized and efficient services. A notable example is SingularityNET, a platform that allows developers to integrate AI services into blockchain applications, facilitating solutions such as predictive analytics and process automation.
Finally, automated trading has significantly advanced with the use of AI-powered trading bots capable of learning and adapting to market conditions in real-time, these bots not only execute trades with greater precision but also analyze large volumes of data to predict trends and optimize investment strategies.
Present Day (2024 and Beyond)
Today, AI is integrated into algorithmic trading, intelligent bots (e.g., Sniper Bots or GBOTs), and advanced tools that enhance efficiency, security and predictive analytics within the cryptocurrency world.
2. Key Functions of AI in Crypto
Artificial Intelligence (AI) has transformed the crypto industry with several key functions:
2.1. Data Analysis and Market Prediction
The implementation of AI has enabled the processing of large data volumes to identify trends and patterns through sentiment analysis: this analysis evaluates market sentiment by leveraging sources such as social media, news outlets and forums, providing key insights into market participants’ behavior. Additionally, machine learning models have been developed to predict future price movements using historical data — a technique known as price prediction.
2.2. Security: Safeguarding the Crypto Ecosystem
Security is a top concern in the crypto world and AI has provided significant solutions in this area.
Fraud Detection and Prevention
AI plays a crucial role in identifying and mitigating fraudulent activities in the crypto ecosystem. It analyzes transactions in real time to detect suspicious patterns and prevent theft by continuously monitoring the network, AI can identify irregularities and issue early alerts about unusual activities such as atypical transactions or specific attacks like flash loans (unsecured loans that allow users to access large amounts of liquidity for a brief period, typically within a single blockchain block), AI also detects NFT-related fraud, issuing immediate notifications to reduce risks and ensure constant network surveillance.
Smart Contract Audits
AI has revolutionized smart contract auditing: advanced tools and automated platforms like CertiK use AI to review smart contract code, identifying vulnerabilities before deployment, this ensures contracts are more secure and resistant to failures or exploits, bolstering confidence in the blockchain ecosystem.
Proactive Defense Against Cyberattacks
AI can anticipate potential cyberattacks and enhance blockchain network defenses, by analyzing network behavior AI detects unusual patterns indicative of cyber threats, like hacking attempts or unauthorized access. It also implements “proactive defense” mechanisms, meaning that in response to suspicious activity, AI automatically applies security measures — such as blocking transactions or restricting access — without requiring human intervention.
Authentication and Verification Enhancements
AI has revolutionized authentication and verification processes in the crypto space, advanced tools like biometrics and facial recognition significantly enhance the security of account access and transactions. These technologies have also facilitated safer and more efficient compliance with KYC (Know Your Customer) regulations (KYC is a standard requiring companies to verify the identities of their users to prevent illicit activities such as money laundering and terrorism financing).
These capabilities not only prevent losses but also optimize the security and efficiency of operations on blockchain platforms.
2.3. Network Efficiency and Scalability
The implementation of Artificial Intelligence (AI) has significantly optimized the functionality of blockchain networks by reducing congestion and improving transaction processing speeds. This is achieved through AI’s ability to optimize resource allocation, enabling transactions to be processed more efficiently. Additionally, AI helps manage higher transaction volumes without compromising speed or security, enhancing both user experience and protocol scalability.
AI is being utilized in networks like Ethereum and Solana to improve performance and handle congestion more effectively. For instance, advanced algorithms optimize block and transaction processing, reducing confirmation times and improving overall efficiency.
2.4. Development of Decentralized Applications (dApps)
AI enhances the capabilities of decentralized applications (dApps) by providing advanced functionalities that transform user experiences and service efficiency.
Advanced Features
Adaptive Smart Contracts
AI-powered smart contracts can dynamically adjust to new conditions set by traders or incoming data, these go beyond predefined conditions, enabling more complex automations to handle advanced tasks.
Personalized Experiences
AI enables dApps to offer tailored services, designing intuitive interfaces that significantly improve user interaction, these “intelligent recommendations” are based on user behavior and preferences, providing suggestions that enhance decision-making for traders.
Transaction and Resource Optimization
AI also optimizes dApp performance by improving transaction processing and resource management:
🌠 Transaction Optimization: AI minimizes time and costs by selecting the most efficient routing, ensuring transactions are processed quickly and economically.
🌠 Resource Optimization: AI algorithms fine-tune the performance of blockchain platforms, allowing them to handle large transaction volumes without sacrificing speed or network security.
3.0. Automated Trading and AI Bots
What is a Smart Trading Bot?
A smart trading bot is an automated program that leverages artificial intelligence (AI) and advanced algorithms to execute cryptocurrency (or other asset) trades on trading platforms automatically.
How Does It Work?
The bot analyzes data in real time, reviewing vast amounts of information such as prices, market trends, trading volumes, and relevant news, based on this data, the bot decides when to buy or sell to capitalize on the best opportunities — all without human intervention (a process known as “automation”). The trader sets the rules in advance and the bot executes trades according to these instructions.
What Makes It “Smart”?
Some of the features that make the bot “smart” include its machine learning capabilities, as certain bots can learn from historical data and refine their strategies over time. Additionally, they offer high adaptability, allowing them to quickly adjust to the volatile conditions of the market, particularly within the cryptocurrency sector.
Benefits
Rapid Execution of Trades: Being a machine that operates 24/7 (even while you’re sleeping), it can react much faster than a human to market changes, seizing opportunities within milliseconds.Risk Management: Bots can adjust strategies in real-time to minimize losses.Automated Trading: They are capable of analyzing millions of data points in real-time (an impossible feat even for the best human trader) and executing automated transactions based on predictive algorithms that identify buying and selling opportunities.
Types of Bots
🌠 Arbitrage Bots: Exploit price differences across exchanges.
🌠 Sniper Bots: Identify precise buying opportunities at the exact right moment.
🌠 Market-Making Bots: Provide liquidity to markets by continuously placing buy and sell orders.
4.0 Artificial Intelligence Agents
What is an Artificial Intelligence Agent?
An AI agent is essentially a digital assistant that collects, analyzes, acts, and continuously learns to improve its performance. It is not a human but an advanced program designed to analyze data, learn from it and make investment decisions automatically without direct human intervention. However, these agents typically make decisions based on configurations previously set by their users.
How Does an AI Agent Work?
The agent collects real-time data from multiple sources such as blockchain networks, markets, databases, or online platforms.Using advanced algorithms, the agent processes this data to identify patterns, trends, or potential issues. For example, it can detect if the market is trending up or down or identify irregularities in transactions.Based on the analysis, the agent executes specific actions such as adjusting a trading strategy, preventing a cyberattack, or recommending a more efficient transaction route. These decisions rely on predefined rules or machine learning, allowing the agent to adapt and improve over time.Through machine learning techniques, the agent reviews the outcomes of its actions to become more efficient. For instance, if a strategy fails, the agent can adjust it to achieve better results in the future.AI agents can interact with applications and protocols by performing tasks automatically or with users by offering recommendations or personalized reports to facilitate decision-making.
Benefits of AI Agents
🌠 Saves Time: Automates repetitive and time-consuming tasks.
🌠 Optimizes Resources: Ensures efficient use of computational and financial resources.
🌠 Prevents Risks: Identifies and mitigates potential threats proactively.
🌠 Personalization: Delivers tailored insights and strategies based on user preferences.
Conclusion
The integration of artificial intelligence into the crypto ecosystem has introduced new opportunities and challenges. From trading automation to enhancing security and the efficiency of dApps, AI is reshaping how we interact with blockchain and digital assets.
Whether you’re a beginner exploring this world or an experienced enthusiast, understanding AI’s role in crypto will enable you to maximize its benefits and prepare for the future of decentralized finance.
Are you ready for the AI revolution in blockchain? 🚀
Glossary
🌠 Blockchain: A decentralized ledger technology that records transactions securely.
🌠 Cryptocurrency: Digital currency using cryptography to secure transactions.
🌠 Artificial Intelligence (AI): Simulation of human intelligence processes by machines.
🌠 dApps: Decentralized applications that operate on a blockchain network.
🌠 DeFi: Decentralized finance offering financial services without traditional intermediaries.
🌠 Trading Bot: A program that executes trading operations automatically.
🌠 Machine Learning: A subfield of AI enabling machines to learn from data.
If you’re passionate about learning more about Web3 and cryptocurrencies, I invite you to follow me, every week, I publish articles on these and other topics, tailored for both experts and beginners.
Decentralized finance doesn’t have to be complicated; I’ll explain it to you in simple terms, join our community!
The convergence of artificial intelligence (AI) and cryptocurrencies has led to significant innovations in the realm of financial technology.
This guide is designed for beginners, and explores the historical development of AI within the crypto ecosystem, its main functions, and how it has influenced areas such as security, efficiency, decentralized applications (dApps) and trading.
By the end of this article, you’ll have a clear understanding of how AI is reshaping the world of cryptocurrencies.
1. History of AI Development in Crypto
To understand how Artificial Intelligence (AI) connects with decentralized economies, it’s essential to analyze the history and origins of both fields. This allows us to see how they converge to work together as we know them today.
Historical Development
1.1. The Beginnings of Cryptocurrencies
In 2008, an individual (or group) under the pseudonym Satoshi Nakamoto published the Bitcoin whitepaper, introducing a decentralized digital currency based on blockchain technology.
This system emerged as a response to traditional financial systems, proposing a peer-to-peer model that eliminates intermediaries such as banks or governments, thus began the decentralized economies we know today.
1.2. The Evolution of Blockchain
In 2015, Vitalik Buterin, a 19-year-old Russian-Canadian, launched Ethereum, a platform that introduced not only its own cryptocurrency (Ether or ETH) but also “smart contracts”: these contracts are digital programs that execute automatically when predefined conditions are met, eliminating the need for intermediaries. This innovation enabled the creation of decentralized applications (dApps) and fueled the development of decentralized economy projects, such as DAOs (Decentralized Autonomous Organizations).
These advancements transformed blockchain from being merely a payment system to a tool for developing complex applications like decentralized finance (DeFi), gaming (GameFi) and non-fungible tokens (NFTs). Eventually, other protocols like Solana, Cardano, and Polkadot emerged, offering solutions focused on scalability and transaction speed.
1.3. The Current State of Crypto
Today, cryptocurrencies and their applications include DeFi, NFTs, Web3 and the Metaverse, aiming to integrate more advanced technologies to optimize networks and services, as of the writing of this article (December 2024), various governments and leaders worldwide have expressed support for and even acquired cryptocurrencies, whether for national reserves or other purposes.
Real Examples
🌠 In 2021, El Salvador adopted Bitcoin as legal tender and continues to increase its reserves.
🌠 In 2024, the Central African Republic also showed interest in implementing cryptocurrencies in its economy.
🌠 Institutional companies and funds, such as BlackRock and Fidelity, have driven the adoption of digital assets through the creation and approval of spot Bitcoin ETFs.
News like the approval of Bitcoin ETFs and the growing interest in other cryptocurrencies, such as XRP, highlight the increasing acceptance and implementation of this new economy and the projects that come with it.
However, the rising need to handle large volumes of data and make quick decisions has paved the way for the incorporation of Artificial Intelligence (AI) in the crypto ecosystem- AI not only optimizes operations and processes but also enhances security, efficiency and the development of decentralized applications.
But how did we start integrating Artificial Intelligence?
Historical Development
2.1. The Early Stages of AI: A Revolutionary Idea
Artificial Intelligence (AI) formally began in 1956 with the Dartmouth Conference, where the concept of creating machines capable of mimicking human intelligence was first introduced. However, progress in AI was slow during the following decades due to computational limitations and insufficient data to train models.
In the 1990s and 2000s, Machine Learning marked a significant turning point in AI development: this subfield enabled the creation of advanced models such as neural networks, designed to identify complex patterns within large volumes of data. These innovations transformed key industries, including market analysis, healthcare and automation, laying the foundation for modern advancements in artificial intelligence.
2.3. The Revolution of Deep Learning and Generative AI
Between 2010 and 2012, the emergence of Deep Learning and models based on Artificial Neural Networks enabled AI to achieve significant advancements in voice recognition, computer vision, and Natural Language Processing (NLP), companies such as Google, Apple (Siri) and Amazon (Alexa) adopted these technologies.
NLP development gained momentum with models like Word2Vec (2013), GPT (2018) and BERT (2019), facilitating an advanced understanding of human language, by 2022–2023, generative AI (e.g., ChatGPT and DALL·E) rose to prominence, enabling automated and optimized content creation.
2. Convergence Between Artificial Intelligence and the Decentralized Economy
The Beginnings of AI in the Crypto World (2014–2018)
The initial attempts to integrate artificial intelligence (AI) into the cryptocurrency world emerged between 2014 and 2016, these efforts primarily focused on using basic algorithms for market analysis and detecting patterns in cryptocurrency prices.
Between 2017 and 2018, during the rise of Initial Coin Offerings (ICOs), the increased volume of data allowed developers to create more sophisticated AI models for precise market analysis. This evolution was driven by the need to analyze vast amounts of information efficiently and make rapid decisions.
However, the first significant integration of AI into the crypto ecosystem occurred between 2016 and 2018 when trading platforms and exchanges began experimenting with AI to optimize automated trading and improve decision-making, these innovations enabled the implementation of more advanced algorithmic trading systems capable of identifying real-time opportunities and executing trades automatically.
The Era of Smart Contracts and dApps
Since 2018, artificial intelligence has been implemented not only in algorithmic trading but also to enhance the security and efficiency of blockchain networks, with the expansion of Ethereum, smart contracts and dApps, more complex challenges arose, such as optimizing gas fees, securing smart contracts and improving user experience (UX).
Between 2020 and 2021, AI started playing a crucial role in automated security audits and optimizing DeFi platforms: AI-powered tools enabled the identification of vulnerabilities in smart contracts, risk mitigation and the optimization of decentralized financial platforms’ performance, fostering greater adoption and trust in this emerging ecosystem.
Evolution and Recent Advances
In 2024, the integration of artificial intelligence (AI) into blockchain protocols is a reality! AI has been implemented to improve scalability, avoid human errors and increase operational efficiency within networks.
Additionally, there has been significant progress in the development of “intelligent dApps”: decentralized applications that leverage AI to deliver more personalized and efficient services. A notable example is SingularityNET, a platform that allows developers to integrate AI services into blockchain applications, facilitating solutions such as predictive analytics and process automation.
Finally, automated trading has significantly advanced with the use of AI-powered trading bots capable of learning and adapting to market conditions in real-time, these bots not only execute trades with greater precision but also analyze large volumes of data to predict trends and optimize investment strategies.
Present Day (2024 and Beyond)
Today, AI is integrated into algorithmic trading, intelligent bots (e.g., Sniper Bots or GBOTs), and advanced tools that enhance efficiency, security and predictive analytics within the cryptocurrency world.
2. Key Functions of AI in Crypto
Artificial Intelligence (AI) has transformed the crypto industry with several key functions:
2.1. Data Analysis and Market Prediction
The implementation of AI has enabled the processing of large data volumes to identify trends and patterns through sentiment analysis: this analysis evaluates market sentiment by leveraging sources such as social media, news outlets and forums, providing key insights into market participants’ behavior. Additionally, machine learning models have been developed to predict future price movements using historical data — a technique known as price prediction.
2.2. Security: Safeguarding the Crypto Ecosystem
Security is a top concern in the crypto world and AI has provided significant solutions in this area.
Fraud Detection and Prevention
AI plays a crucial role in identifying and mitigating fraudulent activities in the crypto ecosystem. It analyzes transactions in real time to detect suspicious patterns and prevent theft by continuously monitoring the network, AI can identify irregularities and issue early alerts about unusual activities such as atypical transactions or specific attacks like flash loans (unsecured loans that allow users to access large amounts of liquidity for a brief period, typically within a single blockchain block), AI also detects NFT-related fraud, issuing immediate notifications to reduce risks and ensure constant network surveillance.
Smart Contract Audits
AI has revolutionized smart contract auditing: advanced tools and automated platforms like CertiK use AI to review smart contract code, identifying vulnerabilities before deployment, this ensures contracts are more secure and resistant to failures or exploits, bolstering confidence in the blockchain ecosystem.
Proactive Defense Against Cyberattacks
AI can anticipate potential cyberattacks and enhance blockchain network defenses, by analyzing network behavior AI detects unusual patterns indicative of cyber threats, like hacking attempts or unauthorized access. It also implements “proactive defense” mechanisms, meaning that in response to suspicious activity, AI automatically applies security measures — such as blocking transactions or restricting access — without requiring human intervention.
Authentication and Verification Enhancements
AI has revolutionized authentication and verification processes in the crypto space, advanced tools like biometrics and facial recognition significantly enhance the security of account access and transactions. These technologies have also facilitated safer and more efficient compliance with KYC (Know Your Customer) regulations (KYC is a standard requiring companies to verify the identities of their users to prevent illicit activities such as money laundering and terrorism financing).
These capabilities not only prevent losses but also optimize the security and efficiency of operations on blockchain platforms.
2.3. Network Efficiency and Scalability
The implementation of Artificial Intelligence (AI) has significantly optimized the functionality of blockchain networks by reducing congestion and improving transaction processing speeds. This is achieved through AI’s ability to optimize resource allocation, enabling transactions to be processed more efficiently. Additionally, AI helps manage higher transaction volumes without compromising speed or security, enhancing both user experience and protocol scalability.
AI is being utilized in networks like Ethereum and Solana to improve performance and handle congestion more effectively. For instance, advanced algorithms optimize block and transaction processing, reducing confirmation times and improving overall efficiency.
2.4. Development of Decentralized Applications (dApps)
AI enhances the capabilities of decentralized applications (dApps) by providing advanced functionalities that transform user experiences and service efficiency.
Advanced Features
Adaptive Smart Contracts
AI-powered smart contracts can dynamically adjust to new conditions set by traders or incoming data, these go beyond predefined conditions, enabling more complex automations to handle advanced tasks.
Personalized Experiences
AI enables dApps to offer tailored services, designing intuitive interfaces that significantly improve user interaction, these “intelligent recommendations” are based on user behavior and preferences, providing suggestions that enhance decision-making for traders.
Transaction and Resource Optimization
AI also optimizes dApp performance by improving transaction processing and resource management:
🌠 Transaction Optimization: AI minimizes time and costs by selecting the most efficient routing, ensuring transactions are processed quickly and economically.
🌠 Resource Optimization: AI algorithms fine-tune the performance of blockchain platforms, allowing them to handle large transaction volumes without sacrificing speed or network security.
3.0. Automated Trading and AI Bots
What is a Smart Trading Bot?
A smart trading bot is an automated program that leverages artificial intelligence (AI) and advanced algorithms to execute cryptocurrency (or other asset) trades on trading platforms automatically.
How Does It Work?
The bot analyzes data in real time, reviewing vast amounts of information such as prices, market trends, trading volumes, and relevant news, based on this data, the bot decides when to buy or sell to capitalize on the best opportunities — all without human intervention (a process known as “automation”). The trader sets the rules in advance and the bot executes trades according to these instructions.
What Makes It “Smart”?
Some of the features that make the bot “smart” include its machine learning capabilities, as certain bots can learn from historical data and refine their strategies over time. Additionally, they offer high adaptability, allowing them to quickly adjust to the volatile conditions of the market, particularly within the cryptocurrency sector.
Benefits
Rapid Execution of Trades: Being a machine that operates 24/7 (even while you’re sleeping), it can react much faster than a human to market changes, seizing opportunities within milliseconds.Risk Management: Bots can adjust strategies in real-time to minimize losses.Automated Trading: They are capable of analyzing millions of data points in real-time (an impossible feat even for the best human trader) and executing automated transactions based on predictive algorithms that identify buying and selling opportunities.
Types of Bots
🌠 Arbitrage Bots: Exploit price differences across exchanges.
🌠 Sniper Bots: Identify precise buying opportunities at the exact right moment.
🌠 Market-Making Bots: Provide liquidity to markets by continuously placing buy and sell orders.
4.0 Artificial Intelligence Agents
What is an Artificial Intelligence Agent?
An AI agent is essentially a digital assistant that collects, analyzes, acts, and continuously learns to improve its performance. It is not a human but an advanced program designed to analyze data, learn from it and make investment decisions automatically without direct human intervention. However, these agents typically make decisions based on configurations previously set by their users.
How Does an AI Agent Work?
The agent collects real-time data from multiple sources such as blockchain networks, markets, databases, or online platforms.Using advanced algorithms, the agent processes this data to identify patterns, trends, or potential issues. For example, it can detect if the market is trending up or down or identify irregularities in transactions.Based on the analysis, the agent executes specific actions such as adjusting a trading strategy, preventing a cyberattack, or recommending a more efficient transaction route. These decisions rely on predefined rules or machine learning, allowing the agent to adapt and improve over time.Through machine learning techniques, the agent reviews the outcomes of its actions to become more efficient. For instance, if a strategy fails, the agent can adjust it to achieve better results in the future.AI agents can interact with applications and protocols by performing tasks automatically or with users by offering recommendations or personalized reports to facilitate decision-making.
Benefits of AI Agents
🌠 Saves Time: Automates repetitive and time-consuming tasks.
🌠 Optimizes Resources: Ensures efficient use of computational and financial resources.
🌠 Prevents Risks: Identifies and mitigates potential threats proactively.
🌠 Personalization: Delivers tailored insights and strategies based on user preferences.
Conclusion
The integration of artificial intelligence into the crypto ecosystem has introduced new opportunities and challenges. From trading automation to enhancing security and the efficiency of dApps, AI is reshaping how we interact with blockchain and digital assets.
Whether you’re a beginner exploring this world or an experienced enthusiast, understanding AI’s role in crypto will enable you to maximize its benefits and prepare for the future of decentralized finance.
Are you ready for the AI revolution in blockchain? 🚀
Glossary
🌠 Blockchain: A decentralized ledger technology that records transactions securely.
🌠 Cryptocurrency: Digital currency using cryptography to secure transactions.
🌠 Artificial Intelligence (AI): Simulation of human intelligence processes by machines.
🌠 dApps: Decentralized applications that operate on a blockchain network.
🌠 DeFi: Decentralized finance offering financial services without traditional intermediaries.
🌠 Trading Bot: A program that executes trading operations automatically.
🌠 Machine Learning: A subfield of AI enabling machines to learn from data.
If you’re passionate about learning more about Web3 and cryptocurrencies, I invite you to follow me, every week, I publish articles on these and other topics, tailored for both experts and beginners.
Decentralized finance doesn’t have to be complicated; I’ll explain it to you in simple terms, join our community!
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Artificial Intelligence & Cryptocurrencies: Everything You Need to Know
Discover How Artificial Intelligence is Transforming Decentralized Finance ⬇️⬇️
The convergence of artificial intelligence (AI) and cryptocurrencies has led to significant innovations in the field of financial technology. This guide is designed for beginners and explores the historical development of AI in the crypto ecosystem, its main functions, and how it has influenced areas such as security, efficiency, decentralized applications (dApps), and trading. By the end of this reading, you will have a clear understanding of how AI is reshaping the world of cryptocurrencies.
The convergence of artificial intelligence (AI) and cryptocurrencies has led to significant innovations in the field of financial technology. This guide is designed for beginners and explores the historical development of AI in the crypto ecosystem, its main functions, and how it has influenced areas such as security, efficiency, decentralized applications (dApps), and trading. By the end of this reading, you will have a clear understanding of how AI is reshaping the world of cryptocurrencies.
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