BTCUSD next move(expecting a bullish move)(22-04-2025)Go through the analysis carefully, and do trade accordingly.
Anup 'BIAS for BTCUSD (22-04-2025) (MID TERM)
Current price- 90000
"if Price stay above 83,000 then next target is 93,000, 99,000 and 1,10,000 below that 79,000.
-POSSIBILITY-1
Wait (as geopolitical situation are worsening )
-POSSIBILITY-2
Wait (as geopolitical situation are worsening)
Best of luck
Never risk 2% of principal to follow any position.
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BEARUSD trade ideas
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.
BTCUSD Weekend Possible Move 18-20 April 2025🔍 Key Levels
Immediate Support: $84,350 (lower trendline support)
Immediate Resistance: $85,250
Major Resistance Target: $86,000 – $86,250
Major Support Target: $83,000 and $81,400 below
🟩 Bullish Scenario (Green Path)
If BTC respects the lower trendline zone between $84,350–$84,550 and successfully retests it:
✅ Enter LONG on confirmation of bounce
🎯 Target 1: $85,250
🎯 Target 2: $86,000 – $86,250
🛡️ Stop-loss: Below $84,200
🟥 Bearish Scenario (Red Path)
If BTC breaks below the trendline at ~$84,350 and retests from below:
✅ Enter SHORT on successful rejection
🎯 Target 1: $83,000
🎯 Target 2: $81,400
🛡️ Stop-loss: Above $84,700
✅ Signal
🔔 Watch for a confirmed bounce or break at $84,350–$84,550.
Buy above $84,550 after retest confirmation → Target: $86,000
Sell below $84,350 after breakdown + retest → Target: $81,400
Follow, comment, boost and share to show your support.
$BTC cycle projection. Upside to $134k-$160k, then to sub $33kHere's a chart of my cycle projection of bitcoin. I think it's likely that we find support in the $62k region over the next couple of weeks and then continue the bull run up to $129k-$137k.
In terms of gains from here, I think BTC is only a ~2x, however, I think we're going to see our biggest altcoin run since bitcoin's inception.
After we hit the top $134k-160k, I think we'll make a very large correction back down to the $20-30k region (supports on the chart) before the next long term cycle begins.
This is the final wave of the first cycle of bitcoin.
Lots of money to be made.
BTC has broken bearish channel resistance on daily chart BTC has broken bearish channel resistance on daily chart.
Generally in those situations the most common outcome is that the price action returns back to the channel first and forms new low, and after that it can flip and change the trend or it can resume the bearish move.
Anther possibility here is that we are entering range in are between 75k and 87k.
In, short I do not recommend buying at the moment. I would like the price at lower levels before I make new long entry.
BTC/USD 1H – Bullish Breakout with FVG Entry & $91K TargetChart Breakdown:
📈 Trend Structure:
BTC is moving in an ascending channel with:
🔵 Resistance Line on top
🟢 Support Line below
🔁 Recently, it broke out above the resistance with a bullish move!
Key Zones & Levels:
🟦 Fair Value Gap (FVG)
This is your potential buy zone:
✅ Entry Point: $86,135
❌ Stop Loss: $85,098
🎯 Target: $91,000
📌 Plan:
Wait for price to retrace into the FVG zone
Look for a bullish bounce ✅
Enter long at $86,135
Set your SL and target accordingly
Risk-Reward Setup:
Risk: Small (below FVG zone) ❗
Reward: Big upside toward $91,000 🚀
Gain Potential: +5.74% ($4,948 per BTC)
Visual Flow:
1️⃣ Price breaks resistance 🔼
2️⃣ Pullback expected to FVG 🔽
3️⃣ Entry triggers around $86,135
4️⃣ Targeting moon shot to $91K 🌕
Conclusion:
This setup shows a bullish continuation with solid RR.
If BTC holds the FVG on a retest, the move to $91K looks likely!
BTC/USD) Trend channel analysis setup Read The ChaptianSMC Trading point update
technical analysis of Bitcoin (BTC/USD) on the 1-hour timeframe. It showcases a potential breakout continuation vs. pullback scenario, depending on how price reacts around a key short-term resistance area.
---
Key Observations:
1. Current Price:
$93,754 — Price is consolidating just below a local high.
2. Support and Resistance Zones:
Support BOS (Break of Structure): Around the $87,351 level, highlighted in yellow.
Upper Target Zone: $98,954–$98,983
200 EMA: Near $86,926, offering dynamic support.
3. Two Possible Scenarios:
A. Bullish Continuation:
If the price holds above the immediate structure and breaks out of the short-term consolidation near the top:
It may surge toward the upper target zone ($98,983).
This aligns with the ascending channel and continuation pattern.
B. Bearish Pullback:
If the price fails to sustain above the resistance area:
A correction down to the support BOS zone (~$87,351) is likely.
This pullback may be temporary, potentially offering a re-entry zone for bulls.
4. RSI Analysis (Bottom of Chart):
RSI is showing signs of bearish divergence (price making higher highs while RSI makes lower highs).
This suggests momentum is weakening, and a short-term pullback could occur.
---
Trade Ideas:
Long Setup (Breakout):
Entry: Above recent high (~$94,500).
Target: ~$98,950
Stop Loss: Below ~$92,000
Short Setup (Rejection):
Entry: Rejection near ~$94,000–$94,500
Target: ~$87,350
Stop Loss: Above ~$94,800
Mr SMC Trading point
---
Summary:
This analysis reflects a critical decision point for BTC/USD. Price is nearing a local high with RSI divergence suggesting a pullback may come first — but if buyers remain strong and break resistance, a continuation toward GETTEX:98K is likely. Wait for confirmation of direction before entering.
Pales support boost 🚀 analysis follow)
Bitcoin alert drop to 82kBitcoin’s dancing around $87,000, but the music’s about to stop.
We’ve got early Break of Structure (BoS) and clear Change of Character (ChoCH)—momentum’s fading fast.
Right now, I’m watching for a rejection off the upper range, which could trigger a sharp correction.
🔻 Target: $82,000
That’s a ~6% move.
Not massive—but definitely fast.
This isn’t the big drop…
Just a warm-up for something nastier.
You know how it goes—first they shake the weak hands. Then they bite.
Status: Setting up
Confidence: High
Timing: Soon.
You’ve been warned. The Wolf sees it before the pack does.
– Alpha Sigma Wolf
“Not all howls are warnings. Some are confirmations.”
#Bitcoin
#BTC
#BTCShort
#CryptoTrading
#TechnicalAnalysis
#SmartMoneyConcepts
#PriceAction
#BreakOfStructure
#AlphaSigmaWolf
#WolfOfCrypto
#TheWolfSees
#ChoCH
Bull Flag or Breakdown? A Liquidity Proxy Near Its LimitsIs Bitcoin forming a head and shoulders pattern before a correction, or are we in the midst of another bull flag consolidation? Personally, I lean toward the latter — that this is a classic bull flag being formed. That does not preclude us from seeing more volatility in the short term. We could very well chop sideways for the next two months or even move lower before the next leg up. It’s entirely plausible that we test and ultimately break through the 109,000 level before advancing toward 132,000.
That said, we must also acknowledge the alternative: what if this is indeed a head and shoulders pattern, signalling a deeper correction ahead? The market will do what it wants, and the truth is revealed only in hindsight. Good traders and investors prepare for both outcomes.
My broader view is that the real economic pain begins to show itself around September or October, when the cumulative impact of tariffs, deteriorating trade flows, and policy missteps starts to weigh more heavily. That’s part of why I believe we’re still in a bull phase for Bitcoin — though likely the final one before liquidity tightens more decisively.
Let me be clear: I do not regard Bitcoin as digital gold. It may be a reasonable proxy for global liquidity, but it is not a risk-off asset. It is not a store of value in the same sense as gold, and I believe those who treat it as such are in for a rude awakening. Yes, it has captured the imagination — and wallets — of a certain subset of investors who see it as a monetary alternative. But in a true bear market, when risk assets come under real pressure, I expect Bitcoin and the broader crypto complex to fall alongside equities and other speculative instruments.
That will be the moment when the cost of four years of reckless spending, monetary debasement, and centralised overreach is fully realised. The lesson, as always, will be the same: liquidity is a tide, and when it goes out, only real assets endure. For many, it may soon be time to consider harvesting gains and rotating into genuine risk-off positions — not narratives, not hope — but assets with intrinsic value, such as physical gold.
This is not investment advice. Do your own research. I could be entirely wrong. And please forgive the rough chart — it’s amateur work.
BITCOIN Bull Run Activated – Here’s Why $105K Is NEXT!COINBASE:BTCUSD is displaying strong bullish potential after forming a clear double bottom around the significant support zone near $74,000. The decisive rejection of this critical area and the inability to form a lower low highlights the exhaustion of sellers at this key level. The formation of this double bottom, coupled with a solid bullish reaction, suggests institutions are actively accumulating Bitcoin, driving prices upward.
The current market structure implies a bullish continuation toward the significant resistance zone around $105,000. With the ascending channel clearly intact and buyers stepping aggressively at support, a sustained bullish impulse toward the channel's upper boundary is very likely.
From a fundamental perspective, Bitcoin is gaining strength due to several key macroeconomic factors unfolding globally. The recent decision by the Trump administration to significantly escalate trade tariffs has heightened economic uncertainty, disrupting traditional markets and spurring investors toward alternative assets. Historically, Bitcoin has thrived during periods of economic instability and policy uncertainty, as investors seek to hedge against volatility in equities, bonds, and fiat currencies.
Furthermore, the tightening monetary policies across major global economies are exacerbating recessionary fears. Central banks face increasingly difficult decisions between managing inflation and sustaining economic growth. This dilemma continues to reinforce Bitcoin's narrative as "digital gold," a decentralized hedge immune to direct manipulation by central authorities. As institutions and investors recalibrate their portfolios amid these conditions, capital allocation toward Bitcoin is expected to rise significantly.
Institutional adoption continues its upward momentum, evidenced by increased activity on spot markets and significant inflows into crypto-based investment vehicles. Regulatory clarity in major jurisdictions and infrastructure improvements have reduced previous barriers, enabling broader and deeper institutional participation in the crypto ecosystem. This growing institutional endorsement solidifies Bitcoin's bullish case, providing strong foundational support for a sustained move towards the targeted $105,000 resistance zone.
The convergence of technical patterns and powerful fundamental catalysts strongly supports Bitcoin's imminent upside potential.
Traders should closely watch for confirmation signals, such as increasing bullish volume, strong candle closures above intermediate resistance levels, and higher low formations, to validate this bullish scenario.
Feel free to share your thoughts or add further insights into this analysis!
BITCOIN - Time to buy again!If the price can break this downward channel, it could reach $100k again. In my opinion, the bearish cycle of the crypto market has ended, and from now on, prices will be bullish.
Give me some energy !!
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⚠️Things can change...
The markets are always changing and even with all these signals, the market changes tend to be strong and fast!!
Bitcoin Cycle Update – Are We Nearing the Peak?Check out this BTCUSDT chart – we’re at GETTEX:92K today, and seems like things are heating up!
▸We’ve seen a Cycle Bottom in late 2022 - early 2023, followed by strong Bull runs in 2023 and 2024.
▸Those Consolidation phases (sideways channels) gave us the perfect setup for massive pumps!
▸Right now, we’re in a Pause Triangle after a big rally – but the Cycle Top could be just around the corner in mid-2025.
▸After that? A potential Bear phase – time to plan your moves!
💡 What’s your strategy? Are you riding this wave to the top, or preparing for the next dip? Let’s discuss 📨
Symmetrical Triangle Nearing Resolution: Breakout or Breakdown?BTC/USD H4 Analysis – Symmetrical Triangle Nearing Resolution: Breakout or Breakdown?
📊 Technical Outlook – 4H Timeframe
Bitcoin is currently consolidating within a clear symmetrical triangle, with price tightening ahead of a potential major breakout. The chart shows price testing the upper boundary of the triangle, supported by MA13 and MA34 from below.
Key resistance zones: 86,594 and the extended target zone at 88,753. A successful breakout above this region could trigger a strong rally toward 90,000+.
Key support levels: 81,397 – 78,725 – 75,102, acting as critical retracement zones in case of downside rejection.
The structure suggests two primary scenarios:
Bullish breakout to 86,594 → 88,753, followed by a pullback and continuation higher.
False breakout or breakdown, leading to a sell-off toward 78,725 and possibly down to 75,102 if market sentiment deteriorates.
🌍 Macro Context & Market Sentiment
Investor sentiment remains fragile, impacted by ongoing geopolitical risks and the Fed’s cautious stance on monetary policy.
Altcoins are underperforming, signaling that capital rotation remains limited – often a precursor to short-term correction or distribution in BTC.
Volume is fading as price coils inside the triangle, typically a precursor to a sharp move in either direction.
🧠 Trading Strategy Ideas
Watch closely for price action near 86,594 – 88,753. If rejection or wick rejections occur, short-term pullback trades may be viable.
A breakdown below the triangle support (~84,000 area) could open up downside targets at 81,397 and 78,725.
A clean breakout with volume confirmation? Look for retest buys around 86k with continuation potential.
⚠️ Caution Advised
BTC is in a “calm-before-the-storm” zone. This is not the time to chase moves or overleverage. Let the market confirm direction and trade based on structure, not emotion.
💬 Are you leaning bullish or bearish on BTC’s next move? Will we see 90k or a drop back to 75k? Share your thoughts below! 👇👇👇
Bitcoin Macro View – Post-Halving StructureThis monthly chart outlines Bitcoin’s long-term ascending channel with key horizontal resistance levels. Following the April 2024 halving (highlighted), price action has continued respecting the macro uptrend with higher lows. Blue projection suggests potential for continued bullish momentum, testing upper channel boundaries into late 2025.
Key zones:
• Major support: GETTEX:23K (2022 low, Fibonacci zone)
• Resistance: $60K–$69K range (previous ATH supply zone)
• Current structure: Bullish continuation above trendline support
Watching for confirmation of a breakout above previous highs, with potential upside extension toward $90K–$100K by 2026 if momentum sustains. 📊🚀
#Bitcoin #Crypto #BTC #TechnicalAnalysis #BTCUSD #HalvingCycle #CryptoTrading #MacroView
Bearish FinTech 50 DMA < 200 DMAduring the bear markets I lived through 87,2K, 2008-2010 I had to learn how to detect bear market conditions, the easiest and simplest if when the 50 EMA crashes down through the 200 EMA.
Another indicator of a Bear Market is a flight to quality gold and silver... check that's 2.
We have a head and Shoulders, price is falling down and possibly through the 50 EMA. H & S is #3
The blue line is the 100 DMA (I use DMA or EMA) if this crashes through the 200 that's even more bearish.
This happening means we should not be long, all things being equal I think we will go down.
BTCUSD: a pattern like 2017BTCUSD, as of 2025, resembles the price movements in 2017. In 2017, after Trump was sworn in in January, there was a 38% drop until July. The narrative around this decline is again tariffs. The FED was again coy about cutting interest rates, etc. But as it is now, first the global M2 liquidity increase, then the FED and other central banks started quantitative easing and the minting, and then the customs agreements, and the market boomed. Then there was a 172% increase until September. After a quick correction of 40% in the same month, the top of the cycle was reached, this time with a massive 562% rise.
I predict that we are likely to see similar stories, only the price increases will not be as high as they were 8 years ago. The correction after the swearing-in ceremony was around 32% this year. In terms of technical targets, I expect a summer peak around 146k, followed by another 30-40% correction and then a blow-off top between 206-266k with a final madness and an entry into the bear market. Of course, this is purely a guess, an “educated guess” based on past macro and technical movements and the current situation. The condition that would invalidate all this and make us say “we are entering the bear market early” would be a weekly-monthly close below the 2024 peak at 73.8k. Wick down from there would not break the bull structure, as long as there is no weekly/monthly close. For me, the confirmation on the indicator side is that the Alpha Trend on the weekly chart is not selling. AT has been in a “BUY” position since January 2023.
The Journey of the Orange SunFrom whispers in the digital void in 2012
to the roaring crowd at $93,000 in 2025 —
Bitcoin’s arc bends not just toward price,
but toward a revolution written in blocks.
Each Fibonacci line is more than math —
it’s prophecy, patience, and power.
The chart doesn’t just show price;
it echoes belief.
Where others see candles,
I see constellations.
And we’re still charting the stars.
🚀📈
#BTC #Bitcoin #CryptoArt #ChartPoetry #FibLevels #BTCUSD
BTC - Bullish Control, Confirmed!Hello TradingView Family / Fellow Traders! This is Richard, also known as theSignalyst.
🚀 As per my last two setups (highlighted on the chart), BTC rejected the $72,000 support and pushed higher with strength.
📈 This week, BTC broke above the $90,000 structure, confirming a shift in momentum from bearish to bullish.
🟢 For the bulls to stay in control, a break above the $95,200 resistance is still needed.
📊 In the meantime, as BTC retests the $89,000–$90,000 zone, we’ll be looking for medium-term trend-following longs to catch the next impulsive move.
📚 Reminder:
Always stick to your trading plan — entry, risk management, and trade management are key.
Good luck, and happy trading!
All Strategies Are Good, If Managed Properly!
~Rich