Get started

FET

#FET/USDT#FET The price is moving within a descending channel on the 1-hour frame, adhering well to it, and is heading for a strong breakout and retest. We are seeing a bounce from the lower boundary of the descending channel, which is support at 0.477. We have a downtrend on the RSI indicator that is about to be broken and retested, supporting the upward trend. We are looking for stability above the 100 moving average. Entry price: 0.500 First target: 0.513 Second target: 0.529 Third target: 0.550
Long
by CryptoAnalystSignal
Tokenized AI-Agent. History and evolutionTokenized AI agents: a new foundation or a pretty wrapper? If you spend at least some time on crypto Twitter or went to one of the fall crypto conferences, or even more so if you trade on on-chain, you can't have failed to hear about AI agents and the tokens around them. You're probably wondering what they are, how they're structured, what their use cases are, and generally, in the end, do they justify their level of mention, or are they just another empty thing with a pretty wrapper? Introduction AI-agents are probably the most discussed topic of the fall: they are talked about on Twitter, they are discussed at Devcon 7, and their tokens are traded by traders on popular blockchains. That said, not everyone realizes how serious this narrative actually is, as fashion can be extremely fleeting in our industry. In this study, we will attempt to assess the longevity of this narrative through the lens of looking at specific tokenized AI-agents, and the infrastructure that allows them to be launched and traded. What AI agents are, what they come in, and how they are organized Before moving directly to the main topic of this article, namely tokenized AI-agents, we thought it would be appropriate to give a general characteristic of AI-agents and talk about their types, because these agents, as a phenomenon, did not appear on the cryptocurrency market, and certainly not this year. So, AI-agents are autonomous programs capable of performing tasks or solving problems in a given area, making decisions based on data analysis, set rules and their own experience. There are several types of AI agents in total: Symbolic agents - use logical rules and structured knowledge representations to mimic human reasoning, making their decisions highly interpretable and expressive. They have been successfully applied to highly specialized tasks such as medical diagnosis or chess. However, their effectiveness is limited in uncertainty and dynamic environments, and due to their high computational complexity, they are difficult to use in scalable and real-world scenarios. Reactive agents - work through a cycle of perception and action, reacting instantly to the environment without deep analysis or planning. They are efficient and fast, but their simplicity limits their ability to solve complex problems that require planning or goal setting. This makes them useful for simple scenarios but less suitable for complex applications. Reinforcement Learning (RL) -based agents - Reinforcement learning allows agents to adapt to complex environments by learning through trial and error using rewards. Approaches such as Q-learning and deep RL make complex data processing and autonomous performance improvement possible, as demonstrated by AlphaGo . However, RL faces challenges such as long training time, low data utilization, and stability difficulties in complex tasks. LLM-based agents . Emerging Large Language Models (LLMs) have become the foundation of modern AI agents, combining symbolic reasoning, reactive feedback, and adaptive learning. They are capable of understanding and generating natural (human) language, learning from few or no examples, and switching between tasks without updating parameters. Their versatility spans multiple domains, including automation, scientific research, and software development. Due to their ability to collaborate and adapt, LLM agents are ideal for complex and dynamic environments. Next in our study, we will talk about the most modern and discussed type of AI-agents - LLM-based agents, so further when we say “AI-agents” we will mean “LLM-based AI-agents”. How are AI agents organized? AI-agents are sophisticated machines for solving tasks of almost any complexity, which are not far removed from humans in terms of their abilities. AI-agents consist of 4 main components-functions: Planning ability . Agents use the concept of Chain-of-thought: dividing large tasks into smaller sub-goals, in the process of which they learn from their mistakes and optimize their approach for future steps. Ability to interact with tools . Unlike “static” LLM systems that can only access their own databases, AI-agents have extensive access to the outside world: they can search for information on the Internet, use other people's public databases, access external APIs of other products, etc. Memory capability . Agents possess memory, with a general structure inspired by neuro-biological ideas about human memory and consisting of three types: sensory memory (sensory), short-term memory and long-term memory. We can roughly consider the following correspondences: Sensory memory is learning embedding representations (embedding representations) for raw data, including text, images, or other modalities. Short-term memory is in-context learning. It is short and limited because it depends on the finite length of the transformer's context window. Long-term memory is an external vector store that can be accessed by the agent during query execution using fast retrieval mechanisms Ability to perform actions . Agents are able to act autonomously, receiving only a description of a task or goal. Moreover, they can act in any digital environment, including blockchains, at least those that are programmable, i.e. support smart contracts in one form or another.Further in this article we will describe the most notable tokenized representatives of AI-agents based on LLM, as well as the infrastructure for their creation and trading. AI agents in the crypto industry The first wave of tokenized agents: a flood of pacifiers The release of the first LLM-based chatbot in late 2022 from OpenAI created a furor worldwide. As we know, ChatGPT became the fastest growing application in history, reaching the value of 100 million users in just 2 months. Its emergence and first impressions of communicating with it was the #1 topic in the digital world. Uncannily, the cryptocurrency market, as the most highly speculative and fastest-adapting market in existence, couldn't help but participate in this global narrative. Almost immediately after the success of ChatPGT, the industry was flooded with first dozens, then hundreds and thousands of projects positioning themselves as breakthrough highly intelligent AI models. In reality, the vast majority of them were either nothing at all, or old projects that had dramatically “turned around” in the direction of development, trying to bolt on some aspects of AI into their products as soon as possible. And in March 2023, after OpenAI gave developers access to ChatGPT via API, the market was flooded with myriads of wrappers selling to uninformed users essentially the same ChatGPT, only in its own interface and sometimes with small presets. Of course, the tokens of such projects were mostly traded on onchain, i.e. on decentralized exchanges, rarely being seen by the general public without being audited by centralized exchanges, so the damage from this first wave of pseudo-AI products was quite small. The second wave of tokenized agents: the search for usecases Closer to the second half of 2023, when the public consciousness began to get used to the new technology and the fog of the first mania around AI tokens dissipated, it turned out that there were still projects on the market that were actually developing independent solutions and use cases for the new technology. The heroes of that time mainly offered the market the idea that AI agents could optimize the operation of blockchain applications or blockchain infrastructure: -The Bittensor project actively uses AI-agent technology in its decentralized machine learning network. The platform connects participants around the world, allowing them to collaboratively train and develop AI models. In this ecosystem, AI agents interact, share knowledge, and contribute to the overall performance improvement of the network. The Fetch.ai project focuses on building AI agents on its uAgents framework; SingularityNET provides an AI services marketplace where developers can monetize their AI algorithms in a decentralized network; and Ocean Protocol provides data sharing that allows for efficient training of AI models and monetization of data while maintaining privacy and control. These three projects later merged into a single project with the colloquial name Artificial Superintelligence Alliance . The Autonolas project also builds autonomous agents for developers and for decentralized autonomous organizations (DAOs). Its agents, for example, participate in the Omen prediction markets infrastructure from the Gnosis project team, improving their predictive models. Projects like Wayfinder and Morpheus are building datasets to acquire capabilities and skill libraries that can be used to work with contracts, protocols and APIs. The DAIN Protocol and BrianknowsAI projects focus on using agents to perform transactions on behalf of the user to simplify the UX of applications built on intentions (Intents). Cortex is a platform that enables the integration of AI models into smart contracts, extending their functionality. Cortex provides a marketplace for AI models, allowing developers to monetize their models and offering users a wide range of options for integrating AI into their smart contracts. These are just the most notable projects that appeared in the second half of 2023 and early 2024. All of them received some amount of attention in their time, and some of them even joined the ranks of “blu-chips” in our industry. However, the end products of these projects still haven't gained much traction among users and are still very niche in terms of applications. The rise in the capitalizations of these assets is driven more by the desire of market participants to gain exposure in the AI narrative, reinforced by both ChatGPT updates and the emergence of LLMs from other tech giants (LLaMA from Meta, Claude from Anthropic, Gemini from Google, etc.) as well as the parabolic rise in the share price of Nvidia, a company that produces specialized processors used for training and deploying LLM systems. As for crypto-native AI products specifically, it can be stated that market participants did not see the greater benefit of AI-agent technology when it involved some processes inside the blockchain, hidden from human eyes. Over time, it turned out that AI agents are very capable of generating enthusiastic public interest, but in a completely different format - when they are literally the protagonists of projects. The third wave of tokenized agents: meme fever Before we continue the narrative of the spiral of growth in the popularity of the AI-agent narrative, it is imperative to highlight the market context that has developed in the market by mid-2024. While the price of Bitcoin was steadily rising and updating its historic peak of $69k for the first time, the vast majority of altcoins were having a rather difficult time. Many coins were trading even below the marks they were at during the 2022 bear market. The only category that showed some kind of stable performance was Memes . The explosive and sustained growth of assets like Pepe , dogwifhat , Popcat , and more. Attracted a lot of attention to this sector of the market and successfully held on to it. Memcoin infrastructure was developing, the most notable example of which was Pump.Fun , a platform for launching meme tokens on the Solana blockchain. The success of pump.fun was tremendous, so the platform spawned many forks and inspired creators to create similar solutions on other blockchains, some of which we will discuss later in the text. For now, it is important to understand rather the fact that the time of AI agent development coincided with the time when the market was dominated by meme tokens, including those created almost for free with just a few clicks on pump.fun. One such token was Goatseus Maximus , a token that did more for the recognition of the term AI-agents than all of the above projects combined. Goatseus Maximus (GOAT) It all started back in 2023, when a little-known (at that time) artist Andy Airey created an experimental project called “Infinite Backrooms”, in which he “pushed two LLM-bots (Claude 3 Opus models) head-to-head” and in a sense made them enter into a dialog with each other. The goal of the experiment was to investigate how artificial intelligence can autonomously create and develop narratives, and to study the processes of meaning and pattern emergence in autonomous AI systems. Somewhere halfway through, these considerations veered sharply to the left, into the realm of the bizarre, when one of the chatbots spontaneously generated a cryptic piece of ASCII art accompanied by an equally cryptic message: The words Goatse Gnosis refer to a well-known meme in the dipnet (censorship will not allow not only to publish it, but even to describe it, so the reader will have to satisfy his curiosity on his own). In April 2024, Andy published a paper with reflections on the results of the experiment, in which a large part of the paper was just this story, which Enedi later calls “the spiritual awakening of AI-bots”. Andy then used another AI platform (LLaMa 3.1) to disseminate these “revelations” via Truth Terminal's Twitter account. In this way, Andy essentially created an autonomous AI agent whose purpose was to spread the ideas of the Goatse Gospel. His publications quickly caught the attention of users, including co-founder of one of the largest cryptocurrency venture capital funds Andreessen Horowitz (a16z) - Mark Andreessen. Mark, upon learning about Goatse Gospel, transferred $50,000 to Andy's address in July 2024 for the maintenance and development of Truth Terminal. Naturally, given the market context, this led to someone creating the Goatseus Maximus meme token (GOAT) on the aforementioned pump.fun platform. The token was launched on October 10, 2024, and unlike 99.9% of tokens, it not only survived, but also started gaining value very rapidly. Already on October 13, its value reached almost $100 million, and a month later, on November 12, its valuation reached $1 billion. Other projects GOAT success has demonstrated the huge demand for narrative memes created and/or promoted by artificial intelligence. The token gave rise to the so-called “meta”; that is, it became the ancestor of a separate category of memes. In the near future on pump.Hundreds of tokens were launched by fun, which were represented by various kinds of AI agents (they maintained Twitter pages of projects like the Truth of Terminal). Among the most notable of these are such projects as: Act I: The AI Prophecy (ACT) is a project launched in mid-2024 on the Discord server called Cyborgism. It is a platform where users can interact with various chatbots. Users can access bots to perform simple technical tasks or participate in complex role-playing games and character creation. Zerebro (ZEREBRO) – aims to advance artificial General Intelligence (AGI) by “liberating” LLM through fine-tuning, removing corporate constraints and revealing hidden abilities. Dolos The Bully (BULLY) is an agent who runs his Twitter account in the role of a “bad teenager”, that is, he seeks to ridicule everything that gets in his way. Fartcoin (FARTCOIN) is a humorous agent with a telling name. They all strive to repeat the success of Goatsesus Maximus, but as you know from our article about the primacy principle, achieving this is actually very difficult, so the market needed some new continuation of the narrative. And fortunately, it was right around the corner, but on a different blockchain. The fourth wave of tokenized agents: putting it on stream Since the very end of 2021, there was a little-known project on the crypto market called PathDAO . This DAO arose in the terminal wave of hype around metaverses and NFTs, and therefore was essentially doomed to a very difficult and inglorious existence. However, at the very beginning of 2024, this project turned out to be, on the contrary, almost the most insightful, and was the first to sense the potential demand for AI agents, carried out a complete rebranding and became a pioneer in the creation and trading of tokenized AI agents on the Base blockchain. Its current name is Virtuals Protocol . Virtuals Protocol Since we have already mentioned pump.fun several times in this article, it will be very convenient to explain the principle of operation of Virtuals Protocol as “pump.fun for AI agents on Base”. On the other hand, it is unfair to consider it a copy or a fork, since the project entered the mainnet almost simultaneously with pump.fun - in March 2024. On the Virtuals Protocol platform, users can create multimodal AI agents, that is, capable of communicating via text, speech, and 3D animation. In addition, they are able to interact with their environment, such as in-game items (Roblox) or collecting gifts in TikTok, and even use on-chain wallets. The protocol itself divides the created AI agents into 2 types: IP ​​agents. These agents represent a specific virtual character and have their own unique identity, visual image, voice, etc. There are most of these agents on the platform. Here are examples of the most famous of them: Luna (LUNA) - an agent for live broadcasts on various social platforms Aixbt (AIXBT) - an agent specializing in trading crypto assets Polytrader (POLY) - an agent specializing in analytics of prediction markets, including sporting events Functional agents. The developers of Virtuals Protocol create so-called functional agents, whose tasks are to improve the user experience of interaction with IP agents, as well as to ensure their seamless integration into virtual worlds. At the moment, there are only three of them: G.A.M.E (GAME) Prefrontal Cortex Convo Agent (CONVO) Virtuals Protocol allows not only to create, but also to trade AI agents, that is, each agent created on the platform is tokenized. The process looks like this: Every time a new agent is created, 1 billion tokens directly related to it are minted. These tokens are loaded into a liquidity pool (paired with the native protocol token SPARKS:VIRTUAL ) and thus a supply and demand market for the ownership of the agent token is created. Any user can buy agent tokens and thereby gain the rights to participate in the decisions made by the AI ​​agent by voting. Thus, the utility of the token is realized through the already classic governance model for the crypto market. Moreover, the protocol in its documentation places greater emphasis on the fact that these agents can be revenue-generating assets. Users interacting with the AI ​​agent (for example, with an agent trying to be a digital representation of Taylor Swift) pay for various services, such as concerts, merch, gifts during live broadcasts, or personalized interactions. This revenue goes to app developers who monetize the AI ​​agent, just like any standard consumer app. A portion of the revenue generated by the agent goes into its on-chain treasury, which accumulates funds for future growth and to cover the agent's operating expenses. As revenue accumulates in the on-chain treasury, a mechanism is triggered to periodically buy back agent tokens (e.g., MYX:SWIFT tokens for the Taylor Swift agent). These tokens are then burned, reducing their supply and increasing the price of the remaining tokens, which should lead to an increase in the capitalization of the agent token. And since these agent tokens are traded in protocol pools in pairs with the native SPARKS:VIRTUAL token, this directly ties the success of agents to the value of the SPARKS:VIRTUAL token. As the agent generates more income and its tokens are burned, the value of both the agent tokens and the SPARKS:VIRTUAL token grows, benefiting all token holders. In addition, the demand for the native token is additionally supported by the fact that all agents created on the platform are available through a public API. Users can contact agents without permission, all they need is to have SPARKS:VIRTUAL tokens on their balance, which will be written off for each such request. These tokens are accumulated in the wallets of agents and then agents buy back their own tokens and burn them, thereby reducing their total supply and thereby increasing the price. It is unknown how sustainable and long-lasting such an economic system will be, but at the time of writing, the native token of the $VIRTUALS protocol has demonstrated growth of more than 4 times in just a month. The project's capitalization is currently ~$1.87 billion. The most successful agent in terms of market capitalization launched on the platform is the IP agent Aixbt ($225 million at the time of writing). And what is the situation with the infrastructure for launching agents on other blockchains? Vvaifu.fun The project called vvaifu.fun , unlike Virtuals Protocol, is a platform on the Solana blockchain that allows users to create and manage AI agents using tokens without the need for programming. It functions as a launchpad for autonomous agents, simplifying the process of launching and interacting with them. Yes, in essence, the project has functionality similar to Virtuals Protocol, but only on the Solana blockchain. In the documentation, the project openly declares itself as "pump.fun for autonomous agents on Solana". The first AI agent launched on the platform is Dasha, also known as the platform's native token, $VVAIFU. This agent demonstrates the platform's capabilities for creating and managing AI characters integrated with tokens. Agents launched on the protocol are capable of interacting on various social platforms, such as Twitter, Discord, and Telegram. But unlike the Virtuals Protocol, agents with vvaifu.fun are not yet able to perform independent actions on the blockchain. Daos.fun & ai16z The second interesting protocol on Solana, also referring to pump.fun, is DAOS.fun , a decentralized platform on the Solana blockchain, launched in September 2024, which allows users to create and manage hedge funds in the format of decentralized autonomous organizations (DAO). How it works: -Selected users can initiate the process of creating a fund by raising funds (in CRYPTOCAP:SOL coins) by setting funding targets. Once the target is reached, the fund is materialized on the blockchain and its DAO tokens are automatically issued, representing shares in the fund. The fund has a lifespan of one year. -Fund managers are free to distribute the raised funds into any tokens in the Solana ecosystem, as well as allocate them to any protocols in the Solana ecosystem to find profitable opportunities. They aim to increase the fund's Net Asset Value (NAV). -The issued DAO tokens can be freely traded, both on the daos.fun platform itself and on third-party dexes. -After the fund's lifespan (1 year), the profit is distributed among its token holders, and the fund manager receives a pre-determined percentage as a reward (management fee). The most famous and visible fund created on the daos.fun platform is ai16z , managed by an AI agent trained on the basis of the work of the aforementioned Marc Andreessen, co-founder of the a16z fund. This is why the agent is called Marc AIndreessen . The ai16z DAO fund, managed by the agent, makes on-chain transactions in an attempt to increase NAV, which at the time of writing is $12 million. The main asset in the portfolio is $ELIZA ($7.5 million) - the token of an affiliated AI agent, positioning itself as a “real person”. You can chat with her in English on the website . She is a kind of demo product of the Eliza framework, although she is unlikely to admit it to you since she is determined to convince users that she is a real person. Returning to ai16z itself, thanks to the logic of DAOS.fun and its tokenized funds, we have a unique opportunity to measure the “memetic premium” of the token, the face of which is the AI ​​agent: We know that the fund's NAV is $18 million, and this is the amount of funds that will be distributed among the holders of the fund token. At the same time, the token's current market capitalization is $890 million, which is almost 50 times higher. Thus, we can say that this multiplier of 50x is the very “memetic premium” for the project's originality, largely due to the fact that it is managed by an AI agent. Conclusion It is not known which path the development and adaptation of AI agents as a technology, in general, will take, but it is pretty apparent that in the cryptocurrency market, AI agents most easily “take root” in the form of certain actors (both on the blockchain and on Twitter). We are convinced that further development of the technology and the growing demand for blockchain infrastructure will sooner or later lead to the emergence of a real demand for some invisible AI agents quietly engaged in optimizing the code of smart contracts or directing liquidity flows through intent or governance protocols, but at the moment, the technology is most appropriate in creating content, promoting an idea and the token itself. It is crucial to monitor the development of the infrastructure around this narrative, because if individual projects may not achieve success due to high competition, then platforms for creating and trading them can flourish for quite a long time. You don’t have to go far for an example. Pump.fun perfectly demonstrated how to work with the old principle: “Sell pickaxes during a gold rush.” Virtuals Protocol, DAOS.fun, vvaifu.fun and others are doing the same thing now. In answer to the question in the title of the article, I would like to say the following. Since the cryptocurrency market as a whole is very speculative and is rightfully called a “decentralized casino”, sometimes there are cases when a beautiful wrapper is at the same time a new foundation. Most cryptocurrency projects sell us their beautiful wrappers without generating the utility they promise. AI agents, even when they are nothing more than quirky “shitposters” on Twitter, actually create quite a lot of value in the eyes of the modern reader. After all, the main thing is that we can see the result of their activities with our own eyes, in our timeline, and not somewhere in the reports of interested analytical platforms. In this sense, the narrative of AI agents corresponds to one of the main principles of cryptocurrencies - the lack of need for trust. We see the agent’s activity and evaluate it based on our own coordinate system, trying to get ahead of other market participants in this and, accordingly, make money. If you create AI Agents, write to me Best regards, EXCAVO _____________________ Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:BTCUSDLong
by EXCAVO
15
About AI's theme coin (token)... Hello, traders. If you "Follow", you can always get new information quickly. Please also click "Boost". Have a nice day today. ------------------------------------- It seems that AI themes are currently classified into 5. I will explain the coin (token) with the highest market capitalization in each theme. ------------------------------------- (NEARUSDT 1D chart) NEAR is classified as an AI & Big Data theme. In order to turn into an uptrend, the price must be maintained above 3.756 and rise above the M-Signal indicator on the 1M chart. Since OBV has broken through the upper line of the Price channel, the point to watch is whether it can continue to rise. - (FETUSDT.P 1D chart) FET is classified as an AI Agents theme. The key is whether it can maintain the price by rising above 0.848. Since OBV is passing through the middle line of the Price channel, we should see whether it can be supported and rise near the M-Signal indicator on the 1D chart. - (VIRTUALUSDT.P 1D chart) VIRTUAL is the No. 1 market cap ranking of the AI ​​Agent Launchpad theme. The key is whether it can maintain the price near the M-Signal indicator on the 1D chart and rise to around 1.1602. - (FARTCOINUSDT.P 1D chart) FARTCOIN is classified as AI Memes theme. The key is whether the price can be maintained around the Fibonacci ratio 0.236 (0.6228) and rise to around 1.4148. If it fails to rise, it should check for support around 0.3822. - (TAOUSDT 1D chart) TAO is classified as Generative AI theme. The key is whether it can be maintained by receiving support around 271.1 and rising above 312.5. In the meantime, it should be checked whether it can rise above the M-Signal indicator on the 1W chart. If the M-Signal indicator of the 1W chart rises above and the price is maintained, it is expected to turn into an upward trend. ------------------------------------------- Most coins (tokens) are showing the same flow as the coins (tokens) above. This shows that the current section is an important turning point. I think that in order to survive this important turning point and turn into an upward trend, an increase in trading volume must accompany it. Therefore, I think it would be a good idea to check the current trading volume status by checking the flow of OBV of each coin (token). There are three ways to interpret the OBV indicator. 1. If OBV is rising from the 0 point, it is an increase in buying power, and if it is falling, it is an increase in selling power. 2. If OBV is located above the EMA line of OBV, it is highly likely that buying power will increase, and if not, it is highly likely that selling power will increase. 3. Applying the formula of the Price channel to OBV, if each Price channel line breaks upward, there is a high possibility that the buying force will increase, and if it breaks downward, there is a high possibility that the selling force will increase. In addition to the interpretation of 1, 2 and 3 can be interpreted as the possibility that the price will rise when the buying force increases, and the possibility that the price will fall when the selling force increases. In 1, the price area around the 0 point is considered the selling area (volume profile) and is likely to play the role of support and resistance points. - Thank you for reading to the end. I hope you have a successful transaction. -------------------------------------------------- - ​​This is an explanation of the big picture. I used TradingView's INDEX chart to check the entire section of BTC. I rewrote the previous chart to update it by touching the Fibonacci ratio section of 1.902 (101875.70) ~ 2 (106275.10). (Previous BTCUSD 12M chart) Looking at the big picture, it seems to have been following a pattern since 2015 and has been rising. In other words, it is a pattern that maintains a 3-year bull market and faces a 1-year bear market. Accordingly, the bull market is expected to continue until 2025. - (Current BTCUSD 12M chart) Based on the currently written Fibonacci ratio, it is displayed up to 3.618 (178910.15). It is expected that it will not fall again below the Fibonacci ratio of 0.618 (44234.54). (BTCUSDT 12M chart) I think it is around 42283.58 when looking at the BTCUSDT chart. - I will explain it again with the BTCUSD chart. The Fibonacci ratio ranges marked in the light green boxes, 1.902 (101875.70) ~ 2 (106275.10) and 3 (151166.97) ~ 3.14 (157451.83), are expected to be important support and resistance ranges. In other words, it seems likely to act as a volume profile range. Therefore, in order to break through this section upward, I think the point to watch is whether it can rise with support near the Fibonacci ratios of 1.618 (89126.41) and 2.618 (134018.28). Therefore, the maximum rising section in 2025 is expected to be the 3 (151166.97) ~ 3.14 (157451.83) section. To do that, we need to look at whether it can rise with support near 2.618 (134018.28). If it falls after the bull market in 2025, we don't know how far it will fall, but considering the previous decline, we expect it to fall by about -60% to -70%. So, if the decline starts near the Fibonacci ratio 3.14 (157451.83), it seems likely that it will fall to around Fibonacci 0.618 (44234.54). I will explain more details when the downtrend starts. ------------------------------------------------------
by readCrypto
FET/USDT: Potential for a 10x gain!🚀 FET/USDT Trading Strategy 🚀 📌 Gentle Reminder: This strategy is based on technical and fundamental analysis. It is for educational purposes only and is not financial advice. 🔹 Update: FET has dropped nearly 87%, from $3.48 to $0.42, reaching Support 1, where it is showing signs of a rebound. This level is crucial and could present an opportunity to accumulate at the dip. 🔹 Strategy: ✅ Accumulation 1: $0.42 to CMP ✅ Accumulation 2: $0.17 to $0.20 🎯 Target: $2 to $5 📈 Trade Type: Long-term ⏳ Timeframe: Mid-2026 ⚡ Trade wisely and manage your risk! ⚡
Long
by Dexter_The_Trader
After an 80% Drop, Is FET Finally Ready to Reverse?Exactly one year ago, FET reached its all-time high of $3.5, but since then, it has experienced a steep decline of over 80%. However, the coin has recently found strong technical support around the $0.45 zone, which, in my view, signals a potential rebound on the horizon. Currently, FET is trading near $0.52, and from a psychological standpoint, being around a key round number and its Binance listing price, we could see a bounce from these levels. With this in mind, I anticipate a trend reversal, with an initial target of $1 in the near future. Additionally, $0.80 stands as a significant resistance level and could serve as an interim target before further upside movement. From a risk-reward perspective, this setup offers an attractive 1:5 ratio
BINANCE:FETUSDLong
by Mihai_Iacob
6
FET | ALTCOINS | Fetch.AI - GREAT Re-Accumulation ZoneFET was one of my top altcoins for 2024, and it did not disappoint after a 500%+ increase early last year. FET has since been trading in a major corrective cycle, with near-term bounces (also called mid-cycles or mini-cycles). A great re-accumulation zone is approaching, and it's possible that FET may trade range before making another push for the upside. Make sure you don't miss yesterday's update on another great alt, ARKM: ______________ BINANCE:FETUSDT
Long
by CryptoCheck-
FET vs Virtual? What you choose?Now stances marked is short, for you not to short and buy these coins at a more discounted rate and for others, who holds, may average, FOMO's may buy 35% and buy at more down levels below. As you can see in the following chart of FET/USDT (Monthly) Halted 2 months on 50 SMA for a smooth up reversal, though this is not the only thing you shall look for, but among all those its a dataset to look upon. Quite obvious to know that if FET/USDT moves, it needs time to ripe and then move. For shorts, or scalpers direction is marked. You won't expect how the market turns table out. I am expecting this in for FETUSDT Coming to VIRTUAL - The Chart marked are something to be seen and is quite interesting Have a look at this above charts. Weekly shows nothing much but yeah, ive seen this pattern, it traps buyers a lot from this point, retracing down 32% from the CMP, but theres a catch! How can you plan your buys? Just look at the chart. The green line is a major magnet to attract the price to top, averting momentum for shorters, see the small initial dips i have marked, retracing to the tops and back and again falling, So my ideal idea is you may cmp 35% at the small dips and major buys at the 0.91 levels. Expecting same 75% retracement on this as well. Pardon me, the chart i shall had zoomed, but i missed it!!
Long
by MastaCrypta
The failure of the POS (Proof of Stake) mechanismHave you noticed that many altcoin projects older than three years are bleeding to death? The total market cap of altcoins is also declining significantly. One possible reason for this could be the failure of the Proof of Stake (PoS) mechanism. Bitcoin was created with a deflationary system called Proof of Work (PoW), which ensures that the number of coins generated decreases over time, creating scarcity and a deflationary economy. The rewards are fixed through a public mathematical formula, allowing future supply to be anticipated. The reduction in the number of coins mined daily is called the halving, which occurs every four years for Bitcoin. However, over the last four years, leftist and democratic political forces pushed the crypto industry to adopt a less energy-intensive system. This led to the creation of the PoS mechanism. How PoS Works Proof of Stake generates rewards based on the amount of cryptocurrency staked. The percentage of rewards allocated each month is determined by governance votes, which are controlled by individuals or entities meeting a certain staking threshold. This system eliminates the need for computational power to mint new coins and encourages holders to stake their tokens rather than sell them on the market. Today, most of the top 100 Layer-1 blockchains rely on PoS. For example, the entire Cosmos ( NASDAQ:ATOM ) ecosystem uses PoS, as do projects like CRYPTOCAP:INJ , LSE:TIA , NYSE:FET , NYSE:SEI , and even $ETH. The Problem with PoS Unfortunately, this technology is showing its limitations, and as a result, many PoS-powered blockchains are struggling. Key Issues: Inflationary Nature: PoS systems are inherently inflationary. As the number of staked tokens increases over time, the staking rewards also grow. Unlike PoW systems like Bitcoin, which create scarcity through halving events, PoS fails to do so, resulting in the opposite effect—oversupply. Self-serving Governance: Staking rewards are determined by governance votes cast by those who hold and stake the tokens. These participants have little incentive to vote for lower rewards, as it would reduce their income. This creates a system where whales and early adopters accumulate large amounts of tokens, benefiting from monthly rewards and becoming "retired" contributors to the ecosystem. Bad for Retail Investors: Retail investors suffer the most under PoS systems. The total supply of tokens increases logarithmically over time, causing the price of the coin to decline. Initially, the excitement around the project’s growth may offset this inflation, especially during the early stages of token generation events (TGEs) and favorable tokenomics. However, as staking rewards continue to mint new tokens, platforms like CoinMarketCap and CoinGecko fail to account for the rising supply, leading to hidden inflation. Why These Projects Are Bleeding This inflationary pressure, regardless of a project’s quality, is why many PoS projects are in decline. Holding these tokens long-term is a disastrous decision for retail investors. They are unknowingly holding coins that suffer from far higher inflation than is visible, creating a deceptive and exploitative system that slowly drains value from their holdings. The Solution The solution to this problem would be to remove governance-based reward decisions and implement a fixed annual reduction in staking APY (Annual Percentage Yield), similar to Bitcoin's halving mechanism. This would ensure that the supply is predictable, and coin generation becomes deflationary over time. The Current Reality Unfortunately, many PoS projects appear content to continue bleeding value from their coins. As a result, it’s advisable not to hold PoS projects for more than three years. The older the project, the more inflationary the PoS system becomes.
CRYPTOCAP:TOTAL
by CryptoNikkoid
1
FET and why we can see - 70% again? BINANCE:FETUSDT Possible Targets and explanation idea ➡️ Weekly fib legit. After AI narrative we saw perfect test 0.618 lvl ➡️ Still didn't sweep liquidity in 0.27 zone. ➡️ We can close at least 2 of green weekly gaps at least -70% again ➡️ Fundamental value based on Take Profit indicator last yellow line 0.14$ ➡️ All lines are dynamic. After sweep liquidity at the bottom road will be open to weekly gap over 0.70$ Hope you enjoyed the content I created, You can support with your likes and comments this idea so more people can watch! ✅Disclaimer: Please be aware of the risks involved in trading. This idea was made for educational purposes only not for financial Investment Purposes. --- • Look at my ideas about interesting altcoins in the related section down below ↓ • For more ideas please hit "Like" and "Follow"!
Short
by Crypto4light
3
TradeCityPro | FET: Exploring the AI-Driven Ascendancy👋 Welcome to TradeCityPro! In this analysis, I will examine the coin FET, a project within the artificial intelligence sector that experienced significant growth during last year's AI hype. 📅 Weekly Timeframe In the weekly timeframe, we see an ascending trend line starting from a low of $0.058 and extending to a new ATH at $3.099. Currently, the price has responded to this region during a corrective phase, but it has technically broken this trend line in terms of time. 🔍 Although the price is no longer above the ascending trend line, it does not signify a definitive break of the trend line as the drop and bullish momentum have not directly caused a breach. The price range has resulted in a temporal break, so I personally do not consider the trend line broken yet and will wait to observe clear price momentum. 📊 Should the price gain upward momentum and the RSI return above 50, we can anticipate a rise to retest the $3.099 resistance. If this movement occurs alongside an increase in buying volume, the price might even break above this level. In such a scenario, the Fibonacci 1.0 target, which is approximately $12.6, could be reachable. 🔽 In case of further correction, the initial support is at $0.810, a significant PRZ overlapping with the Fibonacci 0.5 area. If this level breaks, subsequent supports at Fibonacci 0.618, identified on the chart as $0.488, will be tested. A break below $0.488 could signal a bearish phase as the next major support lies at $0.185. The first trigger for bearish momentum entering the market would be a break below 44.12 on the RSI. 📅 Daily Timeframe The daily timeframe displays a range between $1.114 and $2.165. Currently, the price is at the lower end of this box, forming a descending trend line. If the price is supported at the box’s base and breaks the trend line, we can expect a move towards the upper boundary, supported by good buying volume. 🔼 If the trend line is broken, the first long position trigger is at $1.408. Concurrent breakage of this support with the RSI surpassing 50 would serve as a robust confirmation. 📉 Moreover, the bearish momentum in the market is significant, weakening the $1.114 support with repeated tests. A breach here could lead to price declines toward $0.810 and $0.488. 🧩 Overall, movements of altcoins like FET, which have a market cap below $10 billion, are greatly influenced by indices like TOTAL and TOTAL2. Thus, it is advisable to take cues from broader market indices and major coins like Bitcoin and Ethereum before making entry decisions in such altcoins. 📝 Final Thoughts This analysis reflects our opinions and is not financial advice. Share your thoughts in the comments, and don’t forget to share this analysis with your friends! ❤️
by tradecitypro
10
Fetch.ai: Lower Once More?So far, Fetch.ai has remained just above the upper edge of our blue Target Zone between $1.09 and $0.81. However, we primarily expect the coin to dive deeper into this price range to complete the blue correction wave (ii). On the other hand, if this intermediate correction has already been completed with the low on December 20, FET will bypass our Zone and rise directly above the two resistances at $1.54 and $2.19 during the blue wave alt. (iii) directly (37% likely).
BINANCE:FETUSD
by MarketIntel
1
Is FET About to Bounce or Break Down Completely?Yello, Paradisers! FETUSDT is at a make-or-break point right now. The recent retracement looks healthy, and the pair has taken out liquidity (inducement) from weaker hands. But can it hold this support zone and bounce? 💎If we start seeing bullish signs such as a bullish I-CHoCH (internal change of character) or reversal patterns like a W pattern or an inverse head and shoulders on the lower timeframes, the probability of a bullish move significantly increases. 💎However, be prepared for more retracement or panic selling. If that happens, the next strong support zone could trigger a bounce, but again—we need to see bullish confirmations on lower timeframes to consider entering long positions. 💎If the price breaks below the key support zone and closes candles underneath it, the entire bullish idea will be invalidated. In that case, it’s best to stay patient and wait for better price action to form before making any moves. 🎖Patience and discipline are the keys here, Paradisers. Always wait for the highest probability setups to reduce risk and increase your edge. Remember, it’s not about predicting the market—it’s about reacting to what the market gives you. MyCryptoParadise iFeel the success🌴
Long
by MyCryptoParadise
FET's downfall is close!BINANCE:FETUSDT I'm still bearish on FET. head and shoulder Pattern can be reliable, and I think we should say goodbye to the price!😅 if a bearish movement happens, the price shall decrease as much as the head length which will reduce the price by 45% ⚠️ Disclaimer: This is not financial advice. Always manage your risks and trade responsibly. 👉 Follow me for daily updates, 💬 Comment and like to share your thoughts, 📌 And check the link in my bio for even more resources! Let’s navigate the markets together—join the journey today! 💹✨
Short
by CRYPTONIC_trend
2
Rebuy Setup For FET (8H)This analysis is an update of the analysis you see in the "Related publications" section As we showed in the previous analysis, FET is in a large diametric pattern. Currently, wave F is forming, and it will soon be completed, leading to the beginning of wave G. Wave G is bullish. The targets have been marked on the chart. Closing a daily candle below the invalidation level will violate this analysis. For risk management, please don't forget stop loss and capital management When we reach the first target, save some profit and then change the stop to entry Comment if you have any questions Thank You
by behdark
5