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GOLD Trending Higher - Can buyers push toward 3,300$?OANDA:XAUUSD is trading within a well-defined ascending channel, with price action consistently respecting both the upper and lower boundaries. The recent bullish momentum indicates that buyers are in control, suggesting a potential continuation. The price has recently broken above a key resistance zone and may come back for a retest. If this level holds as support, it would reinforce the bullish structure and increase the likelihood of a move toward the 3,300 target , which aligns with the channel’s upper boundary. As long as the price remains above this support zone, the bullish outlook stays intact. However, a failure to hold above this level could invalidate the bullish scenario and increase the likelihood of a pullback toward the channel’s lower boundary. Remember, always confirm your setups and use proper risk management.
OANDA:XAUUSDLong
by TrendDiva
129
The Charts Wall Street Watches – And Why Crypto Should Too📉 Crisis or Rotation? Understanding Bonds Before the Bitcoin Reveal 🔍 Hi everyone 👋 Before we dive into the next major Bitcoin post (the 'Bitcoin Reveal' is coming up, yes!), let's take a moment to unpack something critical most crypto traders overlook — the world of bonds . Why does this matter? Because the bond market often signals risk... before crypto even reacts. We're going to walk through 4 charts I've posted recently — not the usual BTC or altcoin setups, but key pieces of the credit puzzle . So here’s a simple breakdown: 1️⃣ BKLN – Leveraged Loans = Floating Risk 🟠 These are loans to risky companies with floating interest rates. When rates go up and liquidity is flowing, these do well. But when the economy weakens? They’re often the first to fall. 📌 Key level: $20.31 This level held in COVID (2020), the 2022 bank scare... and now again in 2025. ⚠️ Watch for a breakdown here = real credit stress. Right now? Concerned, but no panic. 2️⃣ HYG – Junk Bonds = Risk Appetite Tracker 🔴 Junk bonds are fixed-rate debt from companies with poor credit. They pay high interest — if they survive. When HYG bounces, it means investors still want risk. 📌 Fear line: 75.72 Held in 2008, 2020 (COVID), and again now. Price rebounded — suggesting risk appetite is trying to return . 3️⃣ LQD – Investment Grade = Quality Credit 💼 LQD holds bonds from blue-chip companies like Apple, Microsoft, Johnson & Johnson. These are lower-risk and seen as safer during stress. 📊 Chart still shows an ascending structure since 2003, with recent pressure on support. 📌 Support: 103.81 Holding well. Rebound looks solid. Unless we break 100, this says: "No panic here." 4️⃣ TLT – U.S. Treasuries = Trust in the Government 🇺🇸 This is the BIG one. TLT = Long-term U.S. bonds (20+ yrs) = safe haven assets . But since 2022, that trust has been visibly broken . A key trendline going back to 2004 was lost — and is now resistance. 📉 Price is in a clear descending channel . 📌 My expectation: One final flush to $76 or even $71–68 …before a potential macro reversal toward $112–115 🔍 The Big Picture – What Are Bonds Telling Us? | Chart | Risk Level | Signal | |--------|------------|--------| | BKLN | High | Credit stress rising, but support holding | | HYG | High | Risk appetite bouncing at a key level | | LQD | Medium | Rotation into quality, no panic | | TLT | Low | Trust in Treasuries fading, support being tested | If BKLN breaks $20... If HYG fails to hold 75.72... If LQD dips under 100... If TLT falls to all-time lows... That’s your crisis signal . Until then — the system is still rotating, not collapsing. So, Should We Panic? 🧠 Not yet. But we’re watching closely. Next: We add Bitcoin to the chart. Because if the traditional system starts breaking... 🟧 Bitcoin is the alternative. One Love, The FXPROFESSOR 💙 📌 Next Post: BTC vs Treasuries – The Inversion Nobody Saw Coming Because if the system is shaking… Bitcoin is Plan B. Stay ready.
AMEX:BKLNEducation
by FX_Professor
14
Crypto update 2025.04.14The current market moves due to tariffs are pushing away the interest from cryptos, as those are stuck somewhere between potentially being a safe-haven and still classed as a risky asset. Let's dig in. CRYPTO:BTCUSD CRYPTO:BCHUSD CRYPTO:ETHUSD CRYPTO:LTCUSD Let us know what you think in the comments below. Thank you. 77.3% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Past performance is not necessarily indicative of future results. The value of investments may fall as well as rise and the investor may not get back the amount initially invested. This content is not intended for nor applicable to residents of the UK. Cryptocurrency CFDs and spread bets are restricted in the UK for all retail clients.
MARKETSCOM:TRXUSD
by Marketscom
10
Inversion Fair Value Gaps (IFVGs) - A Deep Dive Trading GuideIntroduction Inversion Fair Value Gaps (IFVGs) are an advanced price action concept rooted in Smart Money theory. Unlike standard Fair Value Gaps (FVGs), IFVGs consider the idea of price revisiting inefficiencies from an inverse perspective. When price "respects" a previously violated gap from the opposite side, it creates a powerful confluence for entries or exits. This guide will cover: - What an IFVG is - How it differs from traditional FVGs - Market context for IFVG setups - How to trade them effectively - Real chart examples for clarity --- What is an IFVG? An Inversion Fair Value Gap (IFVG) occurs when price trades through a traditional Fair Value Gap and later returns to that area, but instead of continuing in the original direction, it uses the gap as a support or resistance from the other side. Standard FVG vs. IFVG: - FVG: Price creates a gap (imbalance), and we expect a return to the gap for mitigation. - IFVG: Price violates the FVG, but instead of invalidation, it respects it from the other side. Example Logic: A bullish FVG is formed -> price trades through it -> later, price revisits the FVG from below and uses it as resistance. --- Structure and Market Context Understanding structure is key when trading IFVGs. Price must break structure convincingly through a Fair Value Gap. The gap then acts as an inversion zone for future reactions. Ideal Market Conditions for IFVGs: 1. Market is trending or has recently had a strong impulsive move. 2. A Fair Value Gap is created and violated with displacement . 3. Price retraces back to the FVG from the opposite side . 4. The gap holds as support/resistance, indicating smart money has respected the zone. --- Types of IFVGs 1. Bullish IFVG: Price trades up through a bearish FVG and later uses it as support. 2. Bearish IFVG: Price trades down through a bullish FVG and later uses it as resistance. Note: The best IFVGs are often aligned with Order Blocks, liquidity levels, or SMT divergences. --- How to Trade IFVGs 1. Identify a clear Fair Value Gap in a trending market. 2. Wait for price to break through the FVG with momentum . 3. Mark the original FVG zone on your chart. 4. Monitor for price to revisit the zone from the other side. 5. Look for reaction + market structure shift on lower timeframes. 6. Enter trade with a clear stop loss just beyond the IFVG. Entry Confluences: - SMT divergence - Order Block inside or near the IFVG - Breaker Blocks - Time of day (e.g., NY open) --- Refined Entries & Risk Management Once the IFVG is identified and price begins to react, refine entries using: - Lower timeframe market structure shift - Liquidity sweeps just before tapping the zone - Candle closures showing rejection Risk Management Tips: - Set stop loss just beyond the IFVG opposite wick - Use partials at 1:2 RR and scale out based on structure - Don’t chase missed entries—wait for clean setups --- Common Mistakes to Avoid - Confusing IFVG with invalidated FVGs - Trading them in low volume or choppy conditions - Ignoring market context or structure shifts - Blindly entering on first touch without confirmation Tip: Let price prove the level—wait for reaction, not prediction. --- Final Thoughts IFVGs are an advanced but powerful tool when used with precision. They highlight how Smart Money uses inefficiencies in both directions, and when combined with other concepts, they can form sniper-like entries. Practice finding IFVGs on historical charts. Combine them with SMT divergences, OBs, and market structure, and soon you’ll start seeing the market through Smart Money eyes. Happy Trading!
Education
by Louigi_24
81
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
The Art of Doing Nothing: Why Tape Watchers Beat Impulse TradersLess is more. In this Idea we dig into the trading philosophy where less action means more traction. It’s the dispute between the chart readers and the button clickers. Some swear by this: the smartest trading strategy sometimes involves sitting on your hands and embracing the sweet, underrated beauty of doing absolutely nothing. The Italians figured this out ages ago—they call it Dolce Far Niente , the sweetness of doing nothing. But can a trader really get away with just kicking back and waiting while sipping espresso (or the mezcal martini type if you got your Patagonia vest)? Actually, yes—and it often pays better than impulsive clicks. Let’s talk about why chart-watching and tape-reading often outsmart trigger-happy trading. 🤷‍♂️ Doing Nothing Is Harder Than It Looks First off, let’s acknowledge something painfully true: not trading is tough. Seriously tough. Trading never sleeps, notifications flash at you like slot machines. Headlines constantly scream about massive opportunities you're missing — Tesla's NASDAQ:TSLA latest rally or gold’s OANDA:XAUUSD record-breaking surge powered by tariff jitters. The pressure to click, buy, sell, or do something—anything!—can be overwhelming. It’s why there’s something called a heatmap — because it’s hot, hot, hot! But here’s the secret: successful traders know that impulse trading isn't a strategy; it's just financial caffeine. Instead, chart watchers—the cool-headed crowd who sit back, patiently observing price movements, market structure, and volume flow—tend to win the marathon, while impulse traders burn out in the sprint. 🌸 The Dolce Far Niente Method Ever watched an old Italian movie? There's usually a scene featuring someone lounging effortlessly, soaking in life’s beauty without lifting a finger—this is Dolce Far Niente. In trading terms, it’s the act of patiently waiting, savoring the calm between trades, watching your charts like an old-school tape reader that would make Jesse Livermore proud. (“A prudent speculator never argues with the tape. Markets are never wrong, opinions often are.”) A good setup is worth the wait. Instead of diving into trades, relax, observe, and let opportunities come to you. Because the reality is, not every candlestick needs your immediate response. Markets don’t reward hyperactivity; they reward patience and calculated action. 🤩 Tape Reading vs. Trading: The Difference Between Winning and Clicking The lost art of tape reading, as hedge fund guru Paul Tudor Jones calls it, is about carefully tracking price action, volume, and market sentiment. It’s far less exciting than rapid-fire day trading but potentially more rewarding. “When it comes to trading macro,” Tudor Jones says, “you cannot rely solely on fundamentals; you have to be a tape reader, which is something of a lost art form. Learning when to sit quietly (doing nothing) and when to strike decisively is the hallmark of trading mastery. ✋ Real Traders Don’t Chase—They Anticipate Waiting isn’t passive. It’s actually active restraint—a calculated choice to do nothing until the odds tip decidedly in your favor. Let’s be clear: chart watchers aren’t asleep at the wheel; they're carefully steering clear of trouble until clear setups emerge. The result? Better entry points, clearer risk-reward ratios, and fewer sleepless nights worrying about impulsive mistakes. “The trick in investing is just to sit there and watch pitch after pitch go by and wait for the one right in your sweet spot. And if people are yelling, ‘Swing, you bum!,’ ignore them.” Bonus points if you know who said that! So, next time your finger hovers over that "buy" or "sell" button, ask yourself if you’re trading strategically or just for the dopamine hit. Remember the Italian saying, take a breath, embrace the tranquility, and let patience become your trading superpower. Let us know in the comments: Are you team “click less, wait more,” or do you find yourself riding the impulse wave fairly frequently?
SP:SPXEducation
by TradingView
22
QE vs QT: The Invisible Force Behind Every Pump and Dump !Hello Traders 🐺 In this idea, I want to talk about macroeconomics and how QE and QT actually impact the economy and financial markets — and more importantly, how both pro traders and even non-professionals can benefit from understanding these basic concepts in their trading journey and even their everyday life. So make sure to stick with me until the very end, because if you still don't know about these key metrics, this is going to be extremely helpful — and I promise I’ll keep it simple. 🔄 First... What Are QE and QT Anyway? It’s simple: QE (Quantitative Easing) = Pumping money into the system 💸 QT (Quantitative Tightening) = Sucking money out of the system 💀 That’s it. The Fed either injects liquidity — or pulls it back. And that liquidity is the real fuel of the market — Not your RSI, not your fib levels, not your favorite influencer's altcoin pick. 🟩 What Is QE? When the Fed wants to support the economy (like during a crash or recession), it prints money and buys government bonds, mortgage-backed securities, and more. This increases liquidity → makes borrowing easier → and drives people toward risky assets like stocks and crypto. ✅ Benefits of QE: Boosts markets (stocks, crypto, real estate — all of it) Supports employment and economic growth Weakens the dollar → makes exports stronger ❌ Downsides of QE: Can lead to inflation or even hyperinflation if overused Creates asset bubbles (aka pumps with no real fundamentals) Weakens long-term purchasing power In short: QE = Bullish AF for markets — but dangerous if left unchecked. 🟥 What Is QT? QT is the opposite. When the economy overheats or inflation gets out of control, the Fed stops printing — and even starts removing liquidity from the system. They let bonds expire or sell them off, reducing the amount of money circulating. ✅ Benefits of QT: Helps bring inflation down Cools off overheated markets Restores balance after aggressive QE periods ❌ Downsides of QT: Slows down the economy Crashes risk assets (like BTC, tech stocks, etc.) Can trigger a recession if done too fast or too long QT = Bearish pressure for almost every chart you trade. 💡 Now that you understand QT and QE, let's talk about how we can use this in our trading. To help you visualize it better, I’ve marked the QT and QE periods on the chart. And as you’ll see, there’s a perfect correlation between Fed policy decisions and the BTC chart. It almost looks like their policies decide exactly where and even when the tops and bottoms happen! Let me explain it step by step — because while it might sound complicated, it’s actually very easy to understand: 📉 Example: The QT Period from 2017 to 2019 From October 2017 to September 2019, the Fed was in full QT mode — and we had three major phases in the market. Phase 1: When the Fed first announced QT, BTC was around a red monthly resistance line after a huge parabolic run-up. Right after the announcement, BTC entered a sharp correction — all the way down to the monthly support. (Shown with a red ellipse on the chart) Phase 2: BTC started to prepare for its next move — it accumulated below a bullish structure and slowly positioned itself for the next wave. 📉📈 Phase 3: The Big Corona Dump + QE Restart Then came the third and most important phase of QT in the BTC chart: The COVID crash — a sudden, brutal dump across all markets. Sound familiar? Yeh, same pattern… Immediately after the crash, the Fed announced QE and started pumping liquidity again → and we saw that huge parabolic run everyone remembers. 🔁 Now Here’s the Plot Twist... We’re Repeating the Same Pattern Let’s break it down: A huge crash after QT announcement (phase 1) Market accumulation below a bullish structure (phase 2) One final shakeout — just like the COVID dump — which I personally call Black Monday 2025 👀 And now… the Fed has hinted that they're ready to step in to stabilize the markets if needed ( phase three ) Guess what? Another round of QE could be coming... In this idea, I tried to explain how QE and QT work — and show you the hidden forces behind every bull and bear cycle. If you enjoyed this, make sure to follow and stay tuned for more. And as always, never forget our rule: 🐺 Discipline is rarely enjoyable, but almost always profitable 🐺 🐺 KIU_COIN 🐺
INDEX:BTCUSDEducation
by Kiu_Coin
33
Ethereum Hits Critical Resistance — Is a Drop to $1400 Next?Introduction Ethereum has been in a sustained downtrend over the past weeks, struggling to gain any real bullish traction. After a sharp decline last Sunday, the market remains under pressure, and although we’ve seen short-term attempts to recover, the broader trend still points downward. Technical indicators and price structure suggest this may not be over, with both Fibonacci levels and momentum oscillators hinting at further downside potential. Resistance from the FVG and Fibonacci Last Sunday, Ethereum dropped over 10% in a single move, forming a large 4-hour Fair Value Gap (FVG) in the process. This gap signaled a strong imbalance between buyers and sellers, with sellers clearly in control. Earlier this week, ETH managed to retrace up to the 50% level of that FVG but faced immediate rejection, highlighting the strength of the resistance. Currently, price is once again moving into the FVG zone and has reached the golden pocket Fibonacci level between $1650 and $1664. This area often acts as a key pivot for price direction. If bulls manage to break through, the next logical target would be the 0.786 Fibonacci retracement at $1724, potentially completing the fill of the FVG. Stochastic RSI weakening on the daily timeframe While the short-term price action shows some bullish effort, the daily Stochastic RSI tells a different story. It has now almost entered the overbought zone, suggesting that Ethereum’s current upward move may be running out of steam. This indicator often precedes a shift in momentum, and if history repeats itself, we could soon see bears stepping back in. With ETH still unable to break recent highs, the setup favors a continuation of the downtrend. If selling pressure resumes, we could be looking at a move down to the $1400 level, or potentially even lower. Thanks for your support. - Make sure to follow me so you don't miss out on the next analysis! - Drop a like and leave a comment!
Short
by Youriverse
73
GOLD Price Analysis: Key Insights for Next Week Trading DecisionIn this video, I break down the key forces pushing gold to record highs. Learn how factors such as US-China trade tensions, global inflation pressures, and geopolitical uncertainty—combined with a weakening US Dollar and safe-haven demand—are reshaping the gold market. In this quick analysis, we cover: 🔹 Inflation & Economic Uncertainty: How rising prices and central bank policies continue to drive interest in gold. 🔹 Trade Tensions & Geopolitical Risks: The impact of US-China disputes and global instability on market sentiment. 🔹 US Dollar Weakness: Why a softer USD is making gold a more attractive asset for international investors. 🔹 Technical Insights: Pinpointing key price levels and exploring potential trend continuations or reversals ahead of US retail sales data. Disclaimer: Forex and other market trading involve high risk and may not be for everyone. This content is educational only—not financial advice. Constantly assess your situation and consult a professional before investing. Past performance doesn’t guarantee future results. #GoldMarketAnalysis #Inflation #TradeTensions #GeopoliticalRisks #TechnicalAnalysis #GoldTrading
SAXO:XAUUSD
by darcsherry
13
ASX Weekly Market Wrap: XJO, LYC, IMD, NST, APA & CHC in FocusASX Weekly Market Wrap: XJO, LYC, IMD, NST, APA & CHC in Focus In this week’s market analysis, we break down key price movements and trends across the #ASX, with a close look at the XJO and standout stocks like Lynas Rare Earths (#LYC), Imdex (#IMD), Northern Star (#NST), APA Group (#APA), and Charter Hall (#CHC). We explore current momentum, trend direction, and price action indicators to help you spot opportunities and make more confident trading decisions. Whether you're paper trading or actively investing, this is your must-watch guide for the week ahead.
ASX:XJO
by Market_Monkey_AU
4
NASDAQ 100 outlook and the 90-day tariff pauseThe US has paused the highest tariffs for 90 days, but markets remain under pressure from global trade tensions, and the Nasdaq 100 remains bearish. So what are the levels we need to watch next? This content is not directed to residents of the EU or UK. Any opinions, news, research, analyses, prices or other information contained on this website is provided as general market commentary and does not constitute investment advice. ThinkMarkets will not accept liability for any loss or damage including, without limitation, to any loss of profit which may arise directly or indirectly from use of or reliance on such information
THINKMARKETS:NAS100Short
by ThinkMarkets
9
Why you should WAIT for trades to come to YOU!In this video, we dive deep into one of the most underrated but powerful habits that separates consistently profitable traders from the rest: waiting for the trade to come to you. It sounds simple, even obvious. But in reality, most traders—especially newer ones—feel the constant urge to do something. They scan for setups all day, jump in at the first sign of movement, and confuse activity with progress. That mindset usually leads to emotional trading, overtrading, and eventually burnout. If you've ever felt the pressure to chase price, force trades, or trade just because you're bored… this video is for you. I’ll walk you through: 1. Why chasing trades destroys your edge—even when the setup “kind of” looks right 2. How waiting allows you to trade from a position of strength, not desperation 3. The psychological shift that happens when you stop trading to feel busy and start trading to feel precise 4. How the pros use waiting as a weapon, not a weakness The truth is, trading is a game of probabilities and precision. And that means you don’t need 10 trades a day—you need a few good ones a week that truly align with your plan. Patience doesn’t mean doing nothing, it means doing the right thing at the right time. And when you develop the skill to sit back, trust your process, and wait for price to come to your level… everything changes. Your confidence grows. Your equity curve smooths out. And most importantly, your decision-making gets sharper. So if you're tired of overtrading, feeling frustrated, or constantly second-guessing your entries—take a breath, slow it down, and start thinking like a sniper instead of a machine gun. Let the market come to you. That’s where the real edge is.
Education
by Road_2_Funded
7
The Flag Chart Pattern ExplainedHello, traders! 👋🏻 If price action had a way of saying, “HOLD MY BEER, I’M NOT DONE YET,”— it would be through a flag pattern. This classic continuation setup is where strong trends take a breather before launching their next move. Whether you're seeing a bullish flag chart pattern or a bearish flag pattern, you’re looking at a market that’s just catching its breath before running again. Let’s break down how this works and what to watch for! What Is a Flag Pattern? A flag pattern forms when the market makes a strong move (called the “flagpole”), then consolidates in a narrow, counter-trend range that looks like a flag. Eventually, the price breaks out in the direction of the original trend. Think of it like a runner sprinting, slowing down to recover, and then taking off again. That pause? That’s your flag. There Are Two Main Types: 🟢 Bull Flag Pattern (Bullish Flag Pattern) It appears after a sharp upward move. The flag part slopes downward or moves sideways. It also might signal a continuation of the bullish trend. This is the kind of setup that gets traders excited — it’s all about momentum. 🔴 Bear Flag Pattern (Bearish Flag Pattern) It appears after a sharp downward move. The flag part slopes upward or consolidates sideways. It also might signal a continuation of the bearish trend. When the market pauses in a falling trend, the bear flag pattern warns that sellers are just regrouping before the next drop. How to Recognize a Flag Chart Pattern Spotting a Flag Trading Pattern Is Fairly Straightforward — Just Look For: ✔ A Strong Price Move (the Flagpole) ✔ A Tight Consolidation That Slopes Opposite the Trend ✔ Lower Volume During Consolidation ✔ A Breakout in the Direction of the Original Trend 📊 Real Example: BTC Flag Pattern in 2024 Take a look at the chart above. From October to March 2024, Bitcoin made a massive upward move from around $40,000 to $72,000+ — this was the flagpole. Then, from March through November 2024, BTC entered a long, downward-sloping consolidation channel, forming the flag itself. Despite the lower highs and lower lows, the pullback was contained within parallel trend lines — a classic setup. Once the price broke above the top of the flag, it kicked off a second leg, surging to a new all-time high above $108,000. That breakout confirmed the bullish flag pattern and rewarded traders who recognized the structure early. This BTC move is a textbook example of how a bull flag chart pattern plays out in real markets — offering clean entry signals and strong momentum if the pattern completes. There are variations, too — like the rising flag pattern, which can appear in both bullish and bearish conditions, depending on the context. Some traders even debate whether a flag pattern is a continuation or a subtle reversal flag pattern — so CONTEXT MATTERS. Final Thoughts: Trust the Flag, Not the Noise The flag chart pattern is a reminder that not every pullback means the trend is over. Sometimes, it’s just the market catching its breath. Whether you’re spotting a bull flag pattern in a crypto rally or a bear flag pattern in a downtrend, learning to trade these setups can possibly add precision to your strategy. So, next time you see a price taking a nap in a narrow channel, ask yourself: Is this a bullish flag chart pattern gearing up for another leg up? Or is it a bearish flag pattern just waiting to drop the floor out? Let the structure tell the story and the trend do the rest. This analysis is performed on historical data, does not relate to current market conditions, is for educational purposes only, and is not a trading recommendation.
Education
by WhiteBIT
6
Gold Faces Key Resistance – Will the Uptrend Continue?📊 XAU/USD Daily Technical Outlook – April 10, 2025 Gold has recently seen a strong rally, reaching an all-time high of $3167 per ounce. However, it encountered significant resistance at the upper boundary of its ascending channel, leading to a sharp pullback after the release of strong U.S. employment data, which boosted the dollar and exerted selling pressure on gold. Currently, gold is trading around $3050, with key support levels at $2956, $2860, and $2790, which could act as potential bounce points if the decline continues. 📈 Current Market Structure: After reaching the all-time high, the price has corrected lower. As it approaches the support levels mentioned above, the market may see fresh buying opportunities if these levels hold strong. 🔹 Key Resistance Levels: $3100: Immediate resistance. A break above this level could signal a resumption of the uptrend. $3167: All-time high. A breakout above this level would open the door for further gains. 🔸 Key Support Levels: $2956: First support. The price may bounce at this level if it holds. $2860: Major support. A failure to hold above this level could lead to further declines. $2790: Strong support. A drop below this level would signal a shift in the market's direction. 📐 Price Action Patterns: As the price approaches key support levels, there could be reversal patterns forming, indicating a potential price bounce. It’s crucial to monitor the price action at these levels to spot potential entry opportunities. 🧭 Potential Scenarios: ✅ Bullish Scenario: If gold manages to hold above $2956 and bounce, the uptrend may resume toward the resistance levels mentioned above. ❌ Bearish Scenario: If gold fails to maintain the key support levels, the correction could continue, with further declines toward lower support levels. 📌 Conclusion: Gold is currently testing crucial support levels. Monitoring how price behaves at these levels will be key to determining the next direction. Traders should keep an eye on any economic developments that may affect market sentiment. 💬 What’s your outlook for Gold? Will it continue its uptrend or experience further corrections? Share your thoughts below.
OANDA:XAUUSDLong
by Saeed966
13
Fear and Greed: How Extreme Emotions Can Wreck Your TradesThere’s an old saying on Wall Street: Markets are driven by just two emotions — fear and greed. It’s been quoted so many times it’s practically cliché, but like most clichés, it’s got a thick slice of truth baked in. Fear makes you sell the bottom. Greed makes you buy the top. Together, they’re the dysfunctional couple that wrecks your portfolio, sets your confidence on fire, and leaves you staring at your trading screen, wallowing in disappointment. But here’s the good news: you’re not alone. Everyone — from the newbie scalper with a $500 account to the fund manager with a Bloomberg terminal and a caffeine drip — fights these exact same emotional demons. Let’s break down how fear and greed mess with your trades, and more importantly, what to do about it. The Greed Trap: From Champagne Dreams to Margin Calls Add some more to this one… this one’s going to the moon . Suddenly, you’re maxing out leverage on a hot altcoin because your cousin’s barber said it's “the next Solana.” This is how traders end up buying tops. Not because they lack information — we’ve got more charts, market data , and indicators than ever before — but because they chase the feeling. The high. The fantasy of catching a once-in-a-lifetime move. Safe to say that’s not investing, that’s fantasy trading. Greed doesn’t show up in your P&L right away. At first, it may reward you. You get a few wins. Maybe you double your account in a week. You start browsing the million-dollar houses. You post a couple of wins on X. You’re unstoppable… until you’re not. Then comes the inevitable slap. The market reverses. You didn’t take profits because “it’s just a pullback.” Your unrealized gains evaporate. You panic. You sell the bottom. And just like that, you’re back where you started — only now with a bruised ego and fewer chips on the table. The Fear Spiral: Paralysis, Panic, and the Art of Missing Every Rally Fear doesn’t need a market crash to show up. Sometimes all it takes is a bad night’s sleep and a red candle. Fear tells you to cut winners early — just in case. Fear reminds you of every losing trade you’ve ever taken, every blown stop loss, every time you told yourself, “I knew I should’ve stayed out.” It’s what makes you exit a long position at break-even, only to watch it rip 20% after you’re out. It’s what keeps you on the sidelines during the best days of the year. It’s what turns potential gains into chronic hesitation. And the worst part? Fear disguises itself as “discipline.” You think you’re being cautious, but you’re really just self-sabotaging under the banner of risk management. Yes, there's a difference between being prudent and being petrified. One saves your capital. The other strangles it. The Greed-Fear Cycle: The Emotional Roundabout That Never Ends Here’s how the emotional hamster wheel usually goes: You start with greed. You chase something because it looks like easy money. You get smacked by the market. Now you’re afraid. You hesitate. You miss the recovery. You get FOMO. You jump back in… late. The cycle repeats. Only now your account is lighter, and your confidence is shot. Wash. Rinse. Regret. Repeat. This cycle is what turns many promising traders into burnt-out bagholders. It’s not a lack of intelligence or strategy — it’s the inability to manage emotions in a game where emotions are everything. The Emotional Gym You can’t eliminate fear and greed — they’re wired into our monkey brain. But you can train your emotional responses the same way you train a muscle. How? Structure, repetition, and brutal honesty. Start with a trading journal . Not a Dear Diary, but a cold, clinical log of what you did and why. Include your emotional state. Were you excited? Anxious? Overconfident? Bored? (Yes, boredom is a silent killer. It’s how people end up revenge trading gold futures at 2AM.) Review it weekly. Look for patterns. Did you always overtrade after three green trades in a row? Did your losses happen when you broke your own rules? Bingo. Now you have something to fix. The Rules Are the Ritual Every seasoned trader eventually realizes this: rules are freedom. The more emotion you remove from the decision-making process, the more consistent your results. Set rules for: Entry criteria Risk per trade Stop placement When to sit out Then — and this is key — follow them even when you don’t feel like it. Especially when you don’t feel like it. If it feels uncomfortable, that’s usually a sign you’re on the right path. You’re breaking your old habits. And if you break a rule? Cool. Own it. Log it. Learn from it. No need to self-flagellate, but don’t pretend it didn’t happen. This is the emotional weightlifting that builds your trading spine. Story Time: The Trader Who Cried “Breakout” Let me tell you about Dave. Dave loved breakouts. He’d buy every single one, no matter the volume, structure, or trend. His logic? If it breaks the line, it’s going up. Simple. One week, Dave hit it big on a meme stock that doubled in a day. His greed kicked in hard. He started adding leverage, sizing up, swinging for the fences. You can guess what happened. Three fakeouts later, Dave blew half his account. So he stopped trading. Fear took over. Weeks passed. He watched from the sidelines as clean setups came and went. When he finally got back in, he was so timid he under-sized every position and exited too early. He made nothing — but the emotional damage cost him more than the red trades ever did. Dave didn’t lose because he lacked a strategy. He lost because he was letting emotions drive. And when fear and greed are in the driver’s seat, they don’t use the brakes. Be the Trader Your Future Self Will Thank (Not Tank) Markets may sometimes be chaos wrapped in noise wrapped in hype (as we’ve seen with the recent drama around Trump’s tariffs ). There will always be something to fear, and always something to chase. But if you can stay calm while others are panic-buying Nike stock NYSE:NKE or rage-selling the S&P 500 SP:SPX , you’ve already got an edge. The best traders aren’t fearless or greedless. They’re just better at recognizing when those emotions show up — and they don’t let them steer the ship. They’ve built processes to trade through uncertainty, not react to it. So next time you feel that itch to click “Buy” at the top or “Sell” at the bottom, pause. Ask yourself: Is this my setup — or is this just emotion pretending to be insight? Take another look at the Screener , scroll through the latest News , and take a minute to think it over. Final Thoughts: Feelings Aren’t Signals Trading is emotional — but trading on emotion is a fast track to regret. Fear will always be there. So will greed. But you don’t have to let them wreck your trades. Build systems. Log your trades. Know yourself. That’s how you survive the jungle with your capital — and sanity — intact. And if nothing else, remember this: Warren Buffett didn’t get rich by panic-buying breakouts on a Tuesday morning. Let's hear it from you now — how do you deal with fear and greed in your trades? Or are you still fighting them in the wild?
SP:SPXEducation
by TradingView
18
How to Build a Super Pitchfork with Reaction & Trigger LinesIn this educational video tutorial, I guide you through the process of setting up a Super Pitchfork using the Bitcoin daily chart. This method is inspired by Patrick Mikula’s work in " The Best Trendline Methods of Alan Andrews. " I demonstrate how to: - Create and project reaction lines - Generate bullish and bearish trigger lines - Apply a personal timing technique for pitchforks based on Michael Jenkins’ methods by squaring significant pivots to the median line, reaction lines, and upper parallel to produce time-based reaction points anticipating potential market turns. This walkthrough is for traders who already have a foundational understanding of pitchforks. Inspired by the work of Patrick Mikula, this is how I personally apply and expand on the Super Pitchfork method in my own charting.
COINBASE:BTCUSDEducation
by Javonnii
11
Learn 3 Best Time Frames for Day Trading Forex & Gold If you want to day trade Forex & Gold, but you don't know what time frames you should use for chart analysis and trade execution, don't worry. In this article, I prepared for you the list of best time frames for intraday trading and proven combinations for multiple time frame analysis. For day trading forex with multiple time frame analysis, I recommend using these 3 time frames: daily, 1 hour, 30 minutes. Daily Time Frame Analysis The main time frame for day trading Forex is the daily. It will be applied for the identification of significant support and resistance levels and the market trend. You should find at least 2 supports that are below current prices and 2 resistances above. In a bullish trend, supports will be applied for trend-following trading, the resistances - for trading against the trend. That's the example of a proper daily time frame analysis on GBPCHF for day trading. The pair is in an uptrend and 4 significant historic structures are underlined. In a downtrend, a short from resistance will be a daytrade with the trend while a long from support will be against. Look at GBPAUD. The market is bearish, and a structure analysis is executed. Identified supports and resistances will provide the zones to trade from. You should let the price reach one of these areas and start analyzing lower time frames then. Remember that counter trend trading setups always have lower accuracy and a profit potential. Your ability to properly recognize the market direction and the point that you are planning to open a position from will help you to correctly assess the winning chances and risks. 1H/30M Time Frames Analysis These 2 time frames will be used for confirmations and entries. What exactly should you look for? It strictly depends on the rules of your strategy and trading style. After a test of a resistance, one should wait for a clear sign of strength of the sellers : it can be based on technical indicators, candlestick, chart pattern, or something else. For my day trading strategy, I prefer a price action based confirmation. I wait for a formation of a bearish price action pattern on a resistance. Look at GBPJPY on a daily. Being in an uptrend, the price is approaching a key resistance. From that, one can look for a day trade . In that case, a price action signal is a double top pattern on 1H t.f and a violation of its neckline. That provides a nice confirmation to open a counter trend short trade. Look at this retracement that followed then. In this situation, there was no need to open 30 minutes chart because a signal was spotted on 1H. I will show you when one should apply this t.f in another setup. Once the price is on a key daily support, start looking for a bullish signal. For me, it will be a bullish price action pattern. USDCAD is in a strong bullish trend. The price tests a key support. It can be a nice area for a day trade. Opening an hourly chart, we can see no bullish pattern. If so, open even lower time frame, quite often it will reveal hidden confirmations. A bullish formation appeared on 30 minutes chart - a cup & handle. Violation of its neckline is a strong day trading long signal. Look how rapidly the price started to grow then. In order to profitably day trade Forex, a single time frame analysis is not enough . Incorporation of 3 time frames: one daily and two intraday will help you to identify trading opportunities from safe places with the maximum reward potential. ❤️Please, support my work with like, thank you!❤️ I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:XAUUSDEducation
by VasilyTrader
13
Ultimate Guide to Smart Money ConceptsWhat Are Smart Money Concepts? Introduction: If you’ve been trading for a while, you’ve probably noticed that sometimes the market moves in ways that just don’t make sense. You’ve got your technical analysis all set, but the market seems to go in the opposite direction. That’s where Smart Money Concepts (SMC) come in. At its core, SMC is all about understanding how big players in the market (think hedge funds, institutions, and banks) move prices. These players have massive amounts of capital and information, and they don’t trade like the average retail trader. Understanding their behavior can help you see where the market is going next before it happens. What is Smart Money? In the world of trading, smart money refers to the institutional investors who move markets with their huge orders. Unlike retail traders, who might be relying on indicators or patterns, smart money trades based on liquidity, market structure, and order flow. While retail traders are typically reacting to price movements, smart money is the one causing those moves. They’re out there seeking out places where they can accumulate positions or distribute them. The tricky part is that they’ll often make the market go in one direction just to trap retail traders and get them to take positions before flipping it back to where they wanted it to go in the first place. Key Concepts in Smart Money Trading 1. Market Structure Market structure refers to the way price moves in a trend. It’s essentially a pattern of higher highs and higher lows for an uptrend, or lower highs and lower lows for a downtrend. Smart money uses these patterns to their advantage. When they see the market creating a series of higher highs and higher lows, they’ll take advantage of that momentum to push prices further, knowing retail traders will follow along. But when they want to reverse the market, they’ll push it in the opposite direction, creating a market structure shift or a break of structure, which signals that the trend is over and a new one is starting. 2. Liquidity Liquidity refers to the amount of orders available to be filled at different price levels. Smart money knows exactly where retail traders are likely to place their stops or buy orders. They’ll often push the price to these levels, triggering those stops and collecting the liquidity. Once that liquidity is grabbed, they’ll reverse the price and move it in the intended direction. A common way to spot liquidity is by looking for equal highs or equal lows, where traders often place their stop-loss orders. These are often areas smart money will target. 3. Order Blocks Order blocks are areas on the chart where institutions have placed big orders. These are key levels that represent where price might return to later, and they can act as areas of support or resistance. Order blocks are usually found after big price moves. Institutions place these orders to either accumulate positions or offload them, and price often comes back to these levels to fill orders that were left behind. 4. Fair Value Gaps (FVG) Fair value gaps, or imbalances, are price areas where the market moves quickly, leaving gaps between candlesticks. These gaps represent areas where the market has moved too fast for regular orders to fill, and price tends to return to these levels to fill the gaps. Smart money knows that these imbalances are critical areas for future price action, and they’ll use them to re-enter the market after a move has been completed. Why Does Smart Money Matter? Understanding smart money concepts is like learning to think like an institution. Instead of chasing after price based on typical retail indicators, you start looking for the big moves that smart money is making. You begin to notice when the market is setting traps for retail traders, and how these large players accumulate positions before pushing price in a big way. With SMC, you stop guessing and start anticipating. By looking for liquidity zones, order blocks, and market structure shifts, you can get in sync with the big players and follow their moves, not fight them. Conclusion Smart Money Concepts are all about shifting your perspective. Instead of thinking like a retail trader looking for quick breakouts, oversold/overbought conditions, or chasing trends — start looking at the market as the big players do. Pay attention to where the liquidity is, identify key order blocks, and use market structure shifts to guide your trades. By learning to spot these key signs, you’ll stop being the one who’s trapped and start being the one who’s in sync with the smart money. Ready to trade smarter? Keep an eye on those order blocks and liquidity zones — they’re where the real money is made. Next Steps - Start practicing by reviewing charts through the SMC lens. - Keep refining your understanding of market structure, liquidity, and order blocks. - Stay patient, smart money trades aren’t about quick wins, but about positioning yourself for big moves. __________________________________________ Thanks for your support! If you found this guide helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀 Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
Education
by TehThomas
76
What are Tariffs? How They Work and Why They Matter to You?For centuries, tariffs have played a crucial role in global trade, safeguarding domestic industries, shaping international relations, and influencing economic policies. While they often dominate headlines during trade wars and economic policy debates, many people still don’t fully understand what tariffs are, why they are used, and how they impact the economy. This comprehensive guide covers: ⦿ What tariffs are and how they work ⦿ Different types of tariffs ⦿ Why governments impose tariffs ⦿ The economic, political, and social effects of tariffs. ⦿ Historical and modern examples ⦿ The debate between protectionism and free trade ⦿ Tariffs in different economic systems ⦿ The future of tariffs in a globalized world By the end of this article, you’ll have a decent understanding of tariffs and their role in the global economy. 🤔 What Are Tariffs? A tariff is a tax imposed by a government on imported goods and services. The primary purpose of tariffs is to increase the cost of foreign products, making domestically produced goods more attractive to consumers. This serves several economic and political functions, such as protecting domestic industries, generating government revenue, and addressing trade imbalances. 👍 How Do Tariffs Work? A government sets a tariff rate on imported goods (e.g., 25% on foreign cars). Importers must pay this tax when bringing goods into the country. This increases the cost of imported goods, enhancing the competitiveness of domestic alternatives. Domestic industries benefit from reduced foreign competition. The government collects revenue from the tariff. 🦸‍♂ Who Pays the Tariff? Importers: These businesses or individuals directly pay the tariff when they bring goods into the country. This increases their costs. Businesses: Since importers face higher costs, businesses that rely on imported goods often pass these costs onto consumers by increasing prices. Consumers: Ultimately, the general public bears the cost as they pay higher prices for goods affected by tariffs. 🔎 Types of Tariffs Governments employ various tariffs depending on their economic goals and trade policies. Some of these are: 1️⃣ Ad Valorem Tariffs An ad valorem tariff is a percentage-based tariff calculated on the value of the imported goods. The tax amount increases or decreases with the price of the product. Example: A 10% tariff on imported TVs means a $1,000 TV incurs a $100 tariff. Usage: Commonly used for luxury goods, automobiles, and consumer electronics. 2️⃣ Specific Tariffs A specific tariff is a fixed fee charged per unit of imported goods, regardless of price. Example: $3 per barrel of imported oil. Usage: Often used for commodities like oil, wheat, and alcohol. 3️⃣ Compound Tariffs A compound tariff includes both a percentage-based tax (Ad valorem) and a fixed fee on imports (Specific). This means importers pay a fixed fee per unit as well as a percentage of the item’s value. Example: A 5% tax plus $2 per imported cheese wheel. Usage: Applied to goods where both quantity and value affect the market, such as food products and industrial materials. 4️⃣ Tariff-Rate Quotas (TRQs) A TRQ allows a limited quantity of an imported good to enter at a lower tariff rate. After the quota is reached, extra imports are taxed at a higher rate. Example: One of the most well-known examples of a TRQ is the U.S. Sugar Tariff-Rate Quota. The United States allows a certain quantity of sugar to be imported each year at a lower tariff rate. Any sugar imports within the quota limit are subject to a low tariff (e.g., 5%). However, once the quota is exceeded, any additional sugar imports face a much higher tariff (e.g., 20%). This system ensures that domestic sugar producers remain competitive while still allowing controlled imports to meet demand. Another example is the European Union's TRQ on Beef Imports. The EU permits a specific amount of high-quality beef imports (e.g., from the U.S. and Canada) at a lower tariff. Once this quota is filled, any additional beef imports are taxed at a significantly higher rate. This policy helps protect EU cattle farmers while maintaining trade agreements with international suppliers. 5️⃣ Protective Tariffs A protective tariff helps local industries by making imported goods more costly, reducing foreign competition. Example: The U.S. imposed a 25% tariff on Chinese steel to protect domestic steel manufacturers. Usage: Commonly used in industries facing strong foreign competition, such as steel, automotive, and textiles. 6️⃣ Revenue Tariffs A revenue tariff is mainly designed to raise money for the government, not to shield local industries. Example: In the 19th century, tariffs were the main source of revenue for the U.S. government before income taxes were introduced. Usage: Often applied to goods that do not have strong domestic competition but are widely consumed, such as alcohol and tobacco. ❓ Why Do Governments Impose Tariffs? 1️⃣ Protecting Domestic Industries Tariffs shield local businesses from cheaper foreign competitors, helping domestic industries grow. Example: U.S. steel tariffs in 2018 benefited domestic steel manufacturers. 2️⃣ Generating Government Revenue Before modern taxation systems, tariffs were a key source of revenue for governments. Example: In the 1800s, tariffs accounted for 90% of U.S. federal revenue. 3️⃣ National Security Concerns Some industries, like defense and technology, are crucial for national security, and governments impose tariffs to reduce reliance on foreign suppliers. Example: The U.S. limits imports of rare earth minerals to ensure a domestic supply chain for defense technologies. 4️⃣ Retaliation in Trade Wars Countries impose tariffs to address unfair trade practices or economic conflicts. For instance, during the trade war between the United States and China, both countries imposed taxes on each other's goods 5️⃣ Preventing Dumping Dumping occurs when a country exports goods at below-market prices to eliminate competition. Example: The U.S. imposed tariffs on Chinese solar panels due to concerns about dumping. ⚖️ Pros and Cons of Tariffs Pros ✅ Protects local jobs and industries ✅ Encourages domestic production ✅ Generates government revenue ✅ Enhances national security by reducing reliance on foreign goods Cons ❌ Increases prices for consumers ❌ Can lead to trade wars and economic retaliation ❌ Encourages inefficiency in domestic industries ❌ Disrupts global supply chains 📕 Historical and Modern Examples of Tariffs 1. The Smoot-Hawley Tariff Act (1930) The U.S. imposed tariffs on over 20k imported goods. Result: Other countries retaliated, global trade dropped by 66%, and the Great Depression worsened. 2. Trump’s Tariffs on China (2018-2020) The United States levied tariffs on $360 billion worth of Chinese goods. China retaliated, affecting U.S. agriculture exports. Result: Some U.S. industries benefited, but consumers faced higher prices. 3. The European Union’s Tariffs on U.S. Goods (2021) The EU imposed tariffs on American whiskey, motorcycles, and jeans in response to U.S. steel tariffs. Result: Brands like Harley-Davidson saw reduced sales in Europe. ⚙️ Tariffs vs. Free Trade: The Big Debate The debate between tariffs and free trade is a fundamental discussion in global economics and trade policy. This debate revolves around whether governments should impose tariffs (taxes on imported goods) or embrace free trade (minimal to no restrictions on imports and exports). ◉ Free Trade (No Tariffs) Free trade is the unrestricted movement of goods and services across borders without tariffs or other trade barriers. Advocates argue that it fosters economic efficiency and global cooperation. ✅✅ Advantages of Free Trade Lower Prices for Consumers – Without tariffs, imported goods are cheaper, leading to more affordable products. Increased Economic Growth – When countries trade freely, they specialize in what they do best, leading to higher productivity and economic expansion. More Competition = Better Products – Companies must compete on quality and innovation rather than relying on government protection. Stronger Global Relations – Open markets encourage cooperation between nations, reducing the risk of economic conflicts. Access to More Goods and Services – Consumers enjoy a greater variety of products at lower costs. ❌❌ Disadvantages of Free Trade Job Losses in Unprotected Industries – Domestic industries that can't compete with cheaper imports may shrink or shut down. Dependence on Foreign Suppliers – A country may become overly reliant on other nations for essential goods (e.g., medical supplies, electronics). Potential Trade Deficits – Countries that import more than they export may struggle with imbalances in trade. ◉ Protectionism (Using Tariffs) Protectionism refers to economic policies that restrict imports through tariffs, quotas, or other barriers to shield domestic industries from foreign competition. ✅✅ Advantages of Tariffs Protects Local Jobs and Industries – Domestic businesses have a better chance to compete without being undercut by cheaper imports. Reduces Dependence on Foreign Competitors – A country can maintain its own manufacturing and production capabilities, especially in critical industries like steel, energy, and food. Generates Government Revenue – Tariffs provide a source of income for governments, which can be reinvested in public services. Prevents Dumping – Tariffs discourage foreign companies from flooding the market with artificially cheap goods to destroy domestic competition. ❌❌ Disadvantages of Tariffs Higher Prices for Consumers – Since imported goods are taxed, businesses pass the extra costs to customers. Risk of Trade Wars – When one country imposes tariffs, others retaliate, leading to economic conflicts that hurt all parties involved. Encourages Inefficiency – Without foreign competition, domestic companies may become complacent and innovate less. Disrupts Global Supply Chains – Many industries rely on international suppliers; tariffs can increase production costs and delays. ❇️ The Future of Tariffs in a Globalized World As economies become more interconnected, tariffs are often seen as barriers to global trade. Emerging industries, such as digital services, face new trade policy challenges that traditional tariffs do not cover. With globalization, many nations favor free trade agreements (FTAs) like USMCA and the EU single market to reduce trade barriers. Climate-related tariffs, such as carbon border taxes, may become more common as nations try to incentivize environmentally friendly trade practices. 📌 Closing Thoughts Tariffs remain one of the most powerful - and controversial - tools in economic policy. Like a thermostat for trade, they can be adjusted to protect domestic industries, but risk overheating the economy with unintended consequences. History shows that while tariffs can provide temporary relief for specific sectors, they often create ripple effects across the entire economy. The steel tariffs of 2018 helped some American mills reopen, but made cars and appliances more expensive for everyone. Neither free trade nor tariffs are perfect solutions. A balanced approach, where tariffs are selectively used for strategic industries while promoting open markets in others, is often the best path. Each country must decide based on its economic strengths and priorities. For example, developed nations might push for free trade, while developing nations use tariffs to protect growing industries. As trade policies continue evolving, understanding tariffs gives citizens and businesses crucial insight into how globalization affects prices, jobs, and economic security. The debate isn't about whether tariffs are "good" or "bad," but rather when and how they should be used strategically. What are your thoughts on the ongoing U.S. tariff war? Share your opinions in the comments! 📩
SP:SPXEducation
by johntradingwick
6
Understanding the Downside Market and who controls priceA downtrend starts with Dark Pool Buy Side Institutions slow rotation to lower inventory of a stock or ETF. The rotation bends the trend into a rounding pattern that is visible on the stock or ETF chart. The goal of the Dark Pool rotation is not to disturb the uptrend while they are slowly selling shares of stock over several months time. The bending of the price is a signal that the Dark Pools are in rotation. If a chart has Peaks and Valleys trendline pattern that is NOT Dark Pools. Controlled TWAP orders are automated and controlled by the events of that day. At some point professional traders and the Sell Side Institutions will recognize the hidden rotation and start setting up sell short trades. The upside requires more and more buyers to keep the trend moving upward. However, the downside does NOT require more and more sellers. All that is required is a void of buyers and the stock will start a downward correction on the short term or intermediate term trend. A void of buyers also creates the opportunity for High Frequency Trading companies who are Maker/Takers to sell short. The sell short orders fill the queues of the market before it opens and then the computers of the stock exchanges gap the stock down to a first level of some buyers. HFTs, Hedge Funds and Big Money Center Banks Sell short and place their automated buy to cover order way below causing the stock price to plummet. Then smaller funds VWAP orders trigger and the stock collapses. What I am trying to teach is the sell side and the buy side are totally different. They are NOT mirror images of each other.
AMEX:SPYShort
by MarthaStokesCMT-TechniTrader
24
Trump’s Tariffs & the Silent Setup — Why This Could Be Bigger ?Hello Traders 🐺 I hope you enjoyed yesterday’s Black Monday 😂 because honestly, it was brutal for all investors. But corrections like this are always necessary — and I want to talk about that in this idea with a bit more detail. Also, I’ll update you on the current situation of BTC.D, because as I told you in my last update, the market is about to create a bear trap on the BTC.D chart. I already shared the proof for this prediction before the dump — you can check it here: So now, let’s talk about the economic reason behind the dump, and then I’ll go over the technical side of the chart. This idea I’ll explain how we can use macroeconomic data in our trading decisions. So make sure to read it carefully and see how you can apply it to your strategy ✅ Do deep corrections always mean danger? Not necessarily. Let’s go back and remember some of the biggest crashes in financial history — The COVID dump or even the famous Black Monday. If you ask yourself now, “What was the smartest move back then?” You’ll probably say: Buy. Accumulate. Because that was the bottom — and we never saw those prices again. And guess what? The current state of the market is no different. So why do I believe Trump’s new tariff policy could actually be bullish? Let me break it down simply for you: 🔥 The Tariff War: Why it started For years, most countries had easy access to the U.S. consumer market — the largest in the world — with little or no tariffs. But U.S. manufacturers didn’t enjoy the same freedom when exporting abroad — they faced heavy tariffs, while also struggling with intense competition inside their own borders due to lack of import restrictions. So what happened? ✅ The new tariffs brought two key benefits: 1️⃣ Forced negotiations: Other countries now have to either remove or reduce their own export tariffs to keep trading with the U.S., or else they lose access to a market that’s extremely consumption-driven. 2️⃣ Advantage to U.S. domestic production: If foreign exporters lose access, U.S. producers finally get room to breathe, and can grow competitively inside their own market. 💰 What happened after tariff fears hit? In the past month, markets reacted with fear. A massive amount of capital flew out of financial markets and inflation-hedged assets, the dollar strengthened, and recession fears grew. But here’s the twist... What if Trump had started printing money before this shakeout? If liquidity was still high, printing more would’ve: Crushed the dollar Destroyed consumer buying power Sparked inflation again But right now, after money has already been squeezed out of markets and the dollar is strong, the Fed has a clean path to restart QE (quantitative easing) without tanking the dollar’s value. So what's next? Lower interest rates, stimulus packages, subsidies — all will likely come soon. This time, Trump can inject liquidity exactly where he wants it to go: Straight into U.S. industry, not into meme coins and junk assets. With fewer export tariffs, American factories will be more competitive, U.S. exports could rise, and the country will rely less on foreign production. And what does this mean for the markets? Simple. Once the Fed pivots back to easing, markets will react violently to the upside. So, as I always say: Don’t waste this opportunity. Use these prices wisely. now let's come back into the chart : As I told you before , BTC.D now is testing the blue monthly resistance line and also hit the rising wedge upward resistance line and in my opinion there is a big chance to see a massive bull market incoming... I hope you find this idea valuable and as always remember : 🐺 Discipline is rarely enjoyable , but almost always profitable 🐺 🐺 KIU_COIN 🐺
CRYPTOCAP:BTC.DEducation
by Kiu_Coin
33