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Artificial Intelligence and Cryptocurrency-Based Funding Artificial intelligence (AI) has recently become increasingly self-sufficient, with new solutions emerging that enable it to pay for services independently. This is a significant development, as a major hurdle had previously been the inability of AI to complete financial transactions without human intervention. Companies such as Coinbase and OKX are now developing solutions that allow AI agents to utilize crypto wallets and stablecoins to pay for services. Cryptocurrencies are well-suited for AI because they do not require a traditional bank account and allow for the programming of specific spending rules. AI agents are likely to begin spending funds on digital services and APIs; rather than relying on subscriptions, they will be able to pay for services—such as computing power and data acquisition—on an as-needed basis. Coinbase and Circle are developing new protocols to streamline payments, while OKX is working on integrating AI capabilities into trading. However, questions remain regarding liability for errors made by AI agents and the allocation of revenue generated by their operations. From Bitcoin to Altcoins: Exchange Everything on AllCharge.online

How Does Market Structure Differ Across Bull, Bear, and Sideways Markets（I） #SuperEx #CryptoMarket In today’s article, we’re not going to spend time on the basics — things like what a bull market is or what a bear market is. You can easily look up those basic concepts on Wikipedia or anywhere else online. Instead, we’re going to focus on the logic behind the market: How can you tell what kind of market you’re actually in? And as an everyday trader, what should you pay attention to — or think about — when facing different market structures? What we really want to teach you is how to read the market and understand what you should be doing under different market conditions. So, let me start with a question: What do you think is the most dangerous thing you can do when trading? One of the greatest dangers in trading is not misreading a single candlestick, but applying the wrong trading logic to the entire market environment. What does that mean? It means you’re in a bear market, but you’re still reading and trading the market with a bull-market mindset. Repeatedly buying low and selling high in a trending market may cause users to exit a genuine rally too early. Continuously buying dips in a declining structure may mean buying before temporary rebounds rather than before an actual reversal. Chasing breakouts in a sideways market may result in repeated losses from false moves. The purpose of analyzing bull, bear, and sideways markets is therefore not to attach a label to price action, but to answer three practical questions: Which side currently has control? Is that advantage still continuing? Which actions offer a more reasonable risk-to-reward profile under this structure? Market structure is not merely a conclusion. It is the operating environment that determines position sizing, entries, exits, and risk management. First, Define the Timeframe You Are Trading Before discussing market structure, users must first define their timeframe. The same asset may simultaneously be: In a long-term uptrend on the weekly chart; Consolidating near the highs on the daily chart; Pulling back on the four-hour chart; Rebounding temporarily on the 15-minute chart. These observations can all be correct at the same time. The real question is how long you intend to hold the position. Long-term investors should focus mainly on weekly and daily charts; Swing traders may use daily and four-hour charts; Short-term traders can use the four-hour chart to identify the broader environment and lower timeframes to locate entries. Using a short-term decline on the 15-minute chart to reject a weekly uptrend may cause users to exit during a normal pullback. Conversely, using a 15-minute rebound to justify a large bottom-fishing position in a daily downtrend may confuse short-term volatility with a long-term reversal. The first rule of market-structure analysis is therefore:Use the higher timeframe to define the environment, then use the lower timeframe to find an execution point. Do Not Begin by Asking Whether It Is a Bull Market The basic concepts are straightforward: Rising highs and lows generally indicate an advancing structure; Falling highs and lows generally indicate a declining structure; Repeated movement between relatively stable boundaries generally indicates a sideways structure. However, identifying a few highs and lows is not enough. What matters more is how price completes each upward and downward move. Users can compare the impulse phase with the corrective phase. If the market is advancing, observe: Whether rallies are fast and continuous; Whether volume expands during advances; Whether pullbacks are slow and limited; Whether selling pressure weakens during corrections; Whether buyers appear near key support; Whether price can remain in the higher area after a breakout. If rallies are strong while pullbacks remain weak, buyers are generally still in control. Conversely, if every rally struggles while declines are fast, continuous, and accompanied by increasing volume, sellers may still control the broader structure despite temporary rebounds. Market structure should therefore be evaluated not only by direction, but also by: Which direction advances more efficiently; Which direction receives stronger volume support; Which direction breaks key levels more easily; Which type of correction is more readily absorbed by the market. When Evaluating a Trend, Look for Price Acceptance A brief move beyond a price level does not necessarily mean the market structure has changed. What matters is whether the market accepts the new price area. Price acceptance may be reflected by: Candlesticks closing beyond the key level; Price not immediately returning to the previous range; New buying or selling activity appearing on the retest; Subsequent trading continuing in the breakout direction; Former resistance becoming support, or former support becoming resistance; A new sequence of highs and lows beginning to form. If price only leaves a long upper wick above a key level and quickly falls back, the move is more likely a rejection than a valid breakout. Ordinary users do not need to compete for the earliest possible breakout entry. Waiting for a close, continued movement, or a confirmed retest may sacrifice part of the entry price, but it can reduce losses caused by false breakouts. A Reliable Trend Needs Broad Participation A rally led by only one or two assets is different from a broad market advance. When analyzing the crypto market, users can examine: Whether BTC and ETH are moving together; Whether both major and smaller assets are participating; Whether the number of advancing assets is increasing; Whether volume is concentrated in only a few pairs; Whether total market capitalization supports the move; Whether stablecoin capital is moving into risk assets; Whether the rally depends on a single news event. Broad participation generally indicates a stronger trend foundation, while isolated gains may represent only a sector-specific move. Market breadth should not be used alone. Near the later stages of a bull market, large numbers of low-quality assets may rise together. This does not necessarily indicate a healthier market and may instead signal excessive risk appetite. Breadth should therefore be evaluated together with price location, volume, and market crowding. Crowded Positioning Can Make a Trend Fragile Correctly identifying the trend does not automatically make the current price an attractive entry. When too many users position in the same direction, short-term risk may rise significantly even if the long-term trend remains intact. In futures markets, users can also monitor: Whether open interest is increasing rapidly; Whether funding rates remain at extreme levels; Whether long and short positioning is heavily imbalanced; Whether the rally depends primarily on leveraged capital; Whether liquidations are concentrated in one direction; Whether market sentiment has become excessively one-sided. For example, the bullish structure may remain intact, but extremely high funding rates, rapidly rising open interest, and failure to make a new high may indicate overcrowded long positioning. This does not necessarily mean the bull market is about to end, but it does suggest that the risk-to-reward profile of chasing higher prices is deteriorating. Ordinary users should separate two questions: Is the market direction still upward? Is the current price still suitable for entering? The answers are not always the same. What Should Users Consider in an Advancing Structure? Once an advancing structure is established, the priority is not to keep proving how strong the market is, but to find a position where risk can be controlled. Determine Whether the Pullback Is Healthy A healthy pullback may show: A slower decline than the previous rally; Lower volume during the pullback; Price remaining above the previous major low; Buying support near key levels; Stability in core market assets; Renewed active buying after the correction. If the pullback accelerates, volume continues expanding, and several key levels are broken, it may no longer be a normal correction and could be developing into structural weakness. Do Not Ignore Entry Location Just Because the Trend Is Up A common mistake in an uptrend is recognizing the bull market only after a major rally and then entering far above meaningful support. A more reasonable process is: If entering now, where does the structure become invalid? How much could be lost before that point is reached? How much realistic upside remains? Is the potential reward sufficient relative to the risk? Would waiting for a retest or entering gradually be more appropriate? The trend may continue upward while a poorly located trade still loses money. That’s all we have room for today. Tomorrow, we’ll pick up where we left off and talk about: Manage Risk as Price Advances What Should Users Consider in a Declining Structure? What Should Users Consider in a Sideways Structure? The Most Important Phase Is the Transition Between Structures Volatility Changes How the Same Structure Should Be Traded Indicators Should Answer Questions, Not Replace Judgment A Practical Market-Reading Process for Everyday Users Action Principles for Different Structures Final Thoughts Identifying a bull, bear, or sideways structure is not about predicting the next candlestick. It is about choosing a trading approach that matches the current environment. Effective market-structure analysis should help users determine: Whether to participate actively or protect capital; Whether to follow the trend, wait for a pullback, or observe a range; Whether the current price offers a reasonable entry; Whether the market is overcrowded; Where to exit if the analysis is wrong. Ordinary users do not need to capture every top and bottom. Instead of trying to predict exactly what the market will do next, it is more important to know: What to do if the current structure continues, and how to adjust if that structure changes. That is the real value of understanding market structure. Disclaimer This article is intended solely for market education and does not constitute investment, trading, or financial advice. Market structure and technical indicators cannot guarantee future price movements. Digital assets may experience substantial volatility, while futures trading may amplify both gains and losses. Users should make independent decisions based on their experience, financial circumstances, and risk tolerance, and fully understand the applicable product rules before trading. About SuperEx As the world’s first Web3-powered cryptocurrency exchange, SuperEx remains committed to building the Web3 ecosystem through products and services including SuperEx DAO, SuperEx Web3 Wallet, Super Start, SuperEx P2P, SuperEx Copy Trading, SuperEx Earn, and SuperEx DAO Academy. Today, SuperEx serves over 10 million users, has a social media community of more than 600,000 followers across 166 countries and regions, and supports more than 1,000 cryptocurrencies for spot and futures trading. Click to register SuperEx Click to download the SuperEx APP Click to enter SuperEx CMC Click to enter SuperEx DAO Academy — Space

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Today, the following members celebrate their birthdays: Yamini Kumar (31), Let's wish them a happy birthday!

Means have shipping box us and forwarded your country

SuperEx Educational Series: Understanding How Is a Token’s Price Determined by the Market After Listing #SuperEx #EducationalSeries #Token Let me start with a question: Once there’s liquidity, who actually decides the price? At the end of the previous article, we said that market makers help keep the trading road usable, while SuperEx Free Market AMM allows more participants to contribute liquidity. Once the road exists, the next question is obvious: which direction will the traffic move? In market terms: after a token is listed, who determines its price? Is it the project, the exchange, the market maker, or the first trader willing to place an order? The answer is less mysterious than it may seem. The market price is not simply announced by one party. It emerges through transactions that the market is willing to execute. A project may define an offering price, an exchange may establish trading rules, a market maker may quote prices, and an AMM may calculate prices from pooled reserves. But the secondary-market price still depends on what buyers are willing to pay and what sellers are willing to accept. The project may choose the opening scene, but it cannot write the entire market script. Once public trading begins, the plot starts developing on its own. Let’s Start with the Initial Token Price Before listing, a project may define an offering price. For example, if the public sale price is 0.10 USDT, a participant can receive 1,000 tokens for 100 USDT. This price is mainly used for primary-market distribution. It may reflect project valuation, funding rounds, total supply, initial circulation, and launch strategy, but it does not require the secondary market to keep trading at 0.10 USDT. After listing, if many users are willing to buy at 0.15 USDT and sellers refuse lower prices, the market price rises. If early holders sell aggressively while buyers are only willing to purchase at 0.07 USDT, the market price falls. An exchange does not normally press a button in the background and declare that a token is worth 0.12 USDT today. It provides matching infrastructure, trading rules, and liquidity systems. Orders and executions create the price. Three numbers should be distinguished: the latest traded price, the best bid and ask, and the actual average execution price. The last traded price is simply the price of the most recent transaction. It is the latest market record, but it does not mean every order size can execute there. The best bid is the highest active buy order, while the best ask is the lowest active sell order. The gap between them is the bid-ask spread. The actual average execution price depends on order size and market depth. A large market order may consume several price levels, producing an average price very different from the initial screen price. The displayed price is closer to the market’s latest footprint than a permanent promise for the next trade. How Does an Order Book Turn Buying and Selling Intentions into Price In an order-book market, buyers submit prices they are willing to pay, while sellers submit prices they are willing to accept. A limit buy order tells the market: “I am willing to buy at this price or lower.” A limit sell order says: “I am willing to sell at this price or higher.” A trade occurs when buying and selling conditions overlap. Amarket order trades against the best available orders, while a limit order waits under the user’s selected price condition. Suppose the lowest ask for a token is 1 USDT, but only 1,000 tokens are available there. The next sell order is at 1.02 USDT, followed by another at 1.05 USDT. If Alice buys only 500 tokens, her full order may execute at 1 USDT. If she buys 10,000 tokens, her order consumes several asks and produces an average price above 1 USDT. Her order does not merely accept the market price. It changes it. Once the cheaper sell orders are consumed, the new lowest ask appears at a higher level. The same logic applies to selling. A large market sell order consumes existing bids from the highest price downward and may produce a visible decline. The most direct short-term driver is therefore not the vague idea that “people like the project.” It is how much real capital is buying and how many tokens are being offered for sale. So, How Does an AMM Determine the Price An order book forms prices through bids and asks. An AMM calculates prices through the relationship between two assets in a liquidity pool. In a common constant-product model, token reserves and USDT reserves follow a relationship similar to x × y = k. Suppose a pool contains one million tokens and 100,000 USDT. Its initial reference price is approximately 0.10 USDT per token. When users purchase tokens with USDT, the pool gains USDT and loses tokens. To maintain the pool’s pricing rule, the algorithm gradually raises the price for subsequent purchases. When users sell tokens, the token reserve increases and the USDT reserve decreases, pushing later prices downward. This is why AMM prices move even without a traditional order book. Every trade changes the pool state and therefore changes the price facing the next trade. The deeper the pool, the smaller the price impact of an order of the same size. In a shallow pool, an ordinary trade may create substantial slippage. SuperEx Free Market AMM further connects pooled liquidity with an order book. According to SuperEx’s published mechanism, the system calculates quotations through AMM logic and converts pooled assets into order-book liquidity. In the SuperEx Free Market, a token’s price may therefore be influenced by user limit orders, active trades, professional market-maker quotations, and changes in the AMM liquidity pool. These mechanisms do not price the token in isolation. They interact within the same market. Another Question Many People Have: Why Does the Same Token Have Different Prices Across Different Platforms? Strictly speaking, a token does not have one universal price that automatically synchronizes everywhere. It may trade on SuperEx, other centralized exchanges, decentralized exchanges, and several blockchain networks. Each venue has different users, capital, orders, and liquidity pools, so temporary price differences are normal. The main force that brings these prices closer together is arbitrage. Suppose a token trades at 1 USDT on Market A and 1.08 USDT on Market B. An arbitrageur may buy on Market A and sell on Market B. This increases buying pressure on Market A and selling supply on Market B, gradually bringing the two prices closer. Arbitrage is not free. Trading fees, confirmation delays, deposit and withdrawal restrictions, network gas, bridge risks, and price movements can consume the potential profit. If a venue suspends deposits or withdrawals, or a blockchain becomes congested, tokens cannot move efficiently and price differences may persist longer. The phrase “the token price” usually refers to one trading pair on one venue at one moment. Prices converge more efficiently when markets are interconnected and liquid. The Deeper Forces at Work: Supply, Demand, and Expectations Order books and AMMs explain how prices move. To understand why a price continues rising or falling, we must examine supply and demand. One of the most important supply-side factors is actual circulation and future unlocking. A token may have a total supply of ten billion units while only 100 million circulate at launch. The market trades the circulating portion, not the entire locked supply. Low circulation makes it easier for buying capital to move the price. However, future team, investor, and ecosystem unlocks increase the amount available for sale. This is why low-float, high-fully-diluted-valuation tokens require special attention. Scarcity at launch does not guarantee long-term scarcity. Demand may come from product usage, payments, governance, staking, ecosystem incentives, speculation, and expectations of long-term ownership. If a token has genuine utility, users may need to hold or spend it. This demand differs from buying only because the price is expected to rise tomorrow. Information also changes expectations. Product releases, partnerships, revenue growth, and ecosystem expansion may increase demand. Security incidents, team conflicts, regulatory problems, and major unlocks may increase selling pressure. Price reflects not only current conditions but also market expectations about the future. The difficulty is that expectations are sometimes rational and sometimes highly imaginative. An Example：Suppose A has an offering price of 0.10 USDT and an initial circulation equal to 5% of total supply. After listing, many users want to buy while public-sale participants are unwilling to sell. Limited asks are consumed by active purchases, and the price quickly rises to 0.18 USDT. This does not necessarily mean that the project’s value increased by 80% within hours. The more direct explanation is that short-term buying capital exceeded available token supply. Later, some early holders take profits, while market makers adjust quotations according to their inventory. Sell orders increase, buying activity slows, and the price falls to 0.14 USDT. A few days later, the market learns that a large investor unlock will occur within one month. Even before the unlock happens, traders may sell in anticipation, pushing the price down to 0.12 USDT. No single participant determined the price. The offering price, user orders, market-maker inventory, AMM reserves, circulating supply, and future expectations collectively produced the result. What Role Does SuperEx Play in Price Discovery SuperEx provides an environment for price discovery rather than assigning a permanent price to each token. The order book allows users to express the prices at which they are willing to buy or sell, while the matching system executes orders under market rules. Free Market AMM organizes tokens and USDT provided by projects and LPs into liquidity and uses automated quotations to supplement order-book depth. Professional market makers, ordinary user orders, and AMM liquidity can coexist and collectively support price discovery. With more participants and deeper liquidity, individual trades generally have less impact. The platform must also monitor abnormal trading, liquidity changes, and project risks to maintain an orderly environment. Risk control does not mean preventing every normal price movement. A rising price does not necessarily mean that the platform is pumping the token, and a decline does not mean the exchange is suppressing it. Price changes still come from orders, liquidity, and shifting expectations. The role of SuperEx is to help buying and selling intentions meet more efficiently and make the resulting price discovery visible to the market. Conclusion: Price Is the Result of Constant Negotiation by the Market A token’s post-listing price is not a fixed number in a project valuation document, nor is it unilaterally decided by an exchange. In an order book, prices emerge from matched orders. In an AMM, they emerge from reserve ratios and the pricing curve. Across venues, arbitrage helps bring prices closer together. Deeper price trends are shaped by circulating supply, unlocks, product demand, information, capital sentiment, and broader market conditions. The latest traded price represents only the previous execution. It is not the project’s absolute value, and it does not guarantee that the next trade can occur at the same price. In plain English, a token price is not calculated by one person and then announced to the market. It is an ongoing negotiation. Buyers bid, sellers respond, liquidity determines how smoothly they can trade, and each execution writes the market’s latest answer onto the chart. About SuperEx As the world’s first Web3-powered cryptocurrency exchange, SuperEx remains committed to building the Web3 ecosystem through products and services including SuperEx DAO, SuperEx Web3 Wallet, Super Start, SuperEx P2P, SuperEx Copy Trading, SuperEx Earn, and SuperEx DAO Academy. Today, SuperEx serves over 10 million users, has a social media community of more than 600,000 followers across 166 countries and regions, and supports more than 1,000 cryptocurrencies for spot and futures trading. Click to register SuperEx Click to download the SuperEx APP Click to enter SuperEx CMC Click to enter SuperEx DAO Academy — Space