Markets

Scope note: everything below explains how crypto markets are built and how they behave. It defines terms and describes mechanics so you can understand a market you are reading about. It is not signals, entries, targets, strategy or "how to profit", and any numbers are illustrative, not market data. Crypto Pro Network is an independent editorial publication — not a trading platform, exchange or broker.

How do crypto markets work?

A crypto market works by matching people who want to buy with people who want to sell, and letting the price they agree on become "the price". There is no central authority setting a value; the number you see quoted is simply the most recent price at which a buyer and a seller agreed to trade on a particular venue. Most centralised exchanges organise this using an order book, a live list of everyone's standing offers to buy and sell. Decentralised exchanges often use a different design called an automated market maker, where a formula and a pool of pooled funds quote the price instead.

Underneath every market are the same building blocks: orders (requests to trade), a mechanism that pairs them, and liquidity (how much is available to trade near the current price). When those pieces are deep and active, trading is smooth and prices move gradually. When they are thin, small trades can swing the price sharply. The rest of this guide takes each block apart — starting with the order book, then spreads and slippage, then the market makers and derivatives that shape modern crypto — so that when you read about a price move, you understand the plumbing that produced it rather than just the headline number.

What is an order book?

An order book is a continuously updated list of all the buy and sell orders waiting to be filled for a given trading pair, such as BTC/USD. It has two sides. The bid side collects buyers and the prices they are willing to pay, ranked from highest to lowest. The ask (or offer) side collects sellers and the prices they will accept, ranked from lowest to highest. The best bid and best ask sit closest together at the top of the book; everything below is deeper, less competitive interest.

Each line, or "level", shows a price and the quantity available there. As an illustrative, not-market-data example: the best bid might be 30,000 for 2 coins, with more buyers at 29,995 for 5 coins and 29,990 for 8 coins, while the best ask is 30,010 for 1 coin and 30,020 for 4 coins. A trade occurs when an incoming order crosses the gap — a buyer accepting the 30,010 ask, say. The book is dynamic: orders are added, cancelled and filled thousands of times a second on active pairs. Reading an order book tells you not just the current price but the shape of demand and supply around it, which is why it is the foundation of market structure. Our detailed walkthrough covers how an order book works.

What is the difference between market orders and limit orders?

The difference is what you prioritise: speed or price. A market order says "fill me now at whatever price is available", so it executes immediately by taking the best resting orders on the opposite side of the book. A limit order says "only fill me at this price or better", so it waits in the order book until someone trades against it — or never fills if the market never reaches your price. Market orders guarantee execution but not price; limit orders guarantee price but not execution.

This distinction also creates the two roles in a market. A limit order that sits in the book adds liquidity and is called a "maker", because it makes an offer others can trade against. A market order that immediately consumes a resting order removes liquidity and is called a "taker". Many exchanges charge takers a slightly higher fee than makers to reward those who supply liquidity. As an illustrative example, if the best ask is 30,010, a market buy fills there instantly, while a limit buy set at 29,990 simply joins the queue of bids and waits. Understanding this trade-off is the first practical step in reading how orders interact — see market orders vs limit orders. This is a mechanical description, not a suggestion to use either.

What is the bid-ask spread?

The bid-ask spread is the gap between the highest price a buyer will pay (the bid) and the lowest price a seller will accept (the ask). It is the market's built-in cost of trading immediately: if you buy at the ask and sold instantly at the bid, the spread is what you would give up. A narrow spread means buyers and sellers are closely agreed on value; a wide spread means they are far apart, or that few participants are present.

Spreads are a direct readout of liquidity and competition. On a heavily traded pair the spread might be a fraction of a basis point, because many market makers compete to post the best price. On an obscure token it might be several percent, because few are willing to quote. As an illustrative, not-market-data example, a bid of 30,000 and an ask of 30,010 gives a 10-unit spread, roughly 0.03%. Spreads also widen during volatility, when quoting a tight price is risky, and around news, when nobody wants to be caught on the wrong side. Because it compresses so much information into one number, the spread is one of the most useful things to glance at when assessing a market's health. Our full explainer covers the bid-ask spread.

What is market depth?

Market depth is the amount of buy and sell interest resting in the order book at each price level away from the current price. Where the spread describes the very top of the book, depth describes everything beneath it — how much you could trade before running out of orders and pushing the price further. A "deep" market has large quantities stacked at many nearby levels; a "shallow" one has only a thin scattering, so even a modest order reaches far into the book.

Depth is often shown as a depth chart: two staircases rising away from the mid-price, the bids climbing to the left and the asks to the right. The steeper and taller the steps, the more it costs to move the price a given distance. As an illustrative example, if buying 10 coins only walks the price from 30,010 to 30,015, the market is deep; if the same 10 coins pushes it to 30,400, it is shallow. Depth matters because it determines slippage and how resilient a price is to large trades. It is also why the same headline "price" can be far more fragile on one venue than another. We break this down in market depth explained.

What is slippage?

Slippage is the difference between the price you expected when you placed an order and the price at which it actually executed. It arises for two reasons. First, a market order large enough to exhaust the best price level must fill the remainder at the next levels, which are worse — so the average fill price drifts away from the quote. Second, in the moments between sending an order and it reaching the matching engine, other trades can move the price. Both effects mean the fill is rarely exactly the number you saw.

Slippage is a direct consequence of depth. In a deep book, a large order barely moves through the levels and slippage is tiny; in a thin book, the same order rips through many levels and slippage can be severe. As an illustrative, not-market-data example, an order to buy 100 coins might fill the first at 30,010, more at 30,050, and the last at 30,600, giving an average well above the starting quote. Volatility magnifies it further, because prices are moving faster than orders arrive. Many trading interfaces let users cap acceptable slippage so an order cancels rather than filling at a runaway price. Understanding slippage is understanding that "the price" and "the price you get" are two different things — see what slippage is.

What is liquidity in a crypto market?

Liquidity is how easily an asset can be bought or sold without significantly moving its price. A liquid market has many willing buyers and sellers with orders stacked closely together, so trades of ordinary size execute quickly, at a fair price, with a tight spread and little slippage. An illiquid market has few participants and sparse orders, so even a small trade can lurch the price and getting in or out is costly and slow. Liquidity is arguably the single most important property of any market.

It is not one number but a bundle of related symptoms: tight spreads, deep order books, high genuine volume, and low price impact per trade all point to good liquidity. Crucially, liquidity is not constant — it evaporates in stress. During a sharp move or a news shock, market makers pull their quotes, spreads gape open, and depth thins out exactly when people most want to trade, which is how orderly markets suddenly become disorderly. Liquidity also varies enormously between assets and venues: a major coin on a large exchange may be extremely liquid while an obscure token is nearly impossible to exit. Almost every other topic on this page is downstream of liquidity, which is why we treat it as the master concept — explored fully in what market liquidity is.

What happens inside an order matching engine?

The matching engine is the software at the heart of an exchange that pairs incoming orders with resting ones and records the resulting trades. When an order arrives, the engine checks it against the opposite side of the book and executes any part that can be filled, following strict rules so that every participant is treated consistently. It is the referee that turns a list of intentions into actual, settled trades, often processing tens or hundreds of thousands of messages per second.

Most engines use price-time priority: better-priced orders are filled first, and among orders at the same price, the one that arrived earliest is filled first. So if two people both bid 30,000, whoever posted first gets filled first. A large market order may match against several resting orders in sequence, "walking the book" until it is complete. The engine also handles cancellations, partial fills, and different order types, and it publishes the resulting trades and book updates to everyone watching. Because speed and fairness are paramount, matching engines are highly optimised, and their exact rules — such as how they handle self-trades or ties — shape subtle aspects of market behaviour. This is the mechanism, described neutrally; our deep dive covers how order matching engines work.

Why do prices differ between exchanges?

Prices differ between exchanges because each venue runs its own independent order book with its own set of buyers and sellers. Nothing forces two exchanges to agree; the price on each is simply the local result of local trading. If more buyers are active on one venue, its price drifts higher than another where sellers dominate, and the two only re-converge when someone profits from the gap by buying on the cheaper venue and selling on the dearer one — a process called arbitrage.

Arbitrage keeps major markets closely aligned, but frictions prevent gaps from closing instantly. Moving coins or cash between venues takes time and fees; some assets are slow to withdraw; and regional markets can carry persistent premiums or discounts due to capital controls, local demand, or the difficulty of moving money in and out. As an illustrative, not-market-data example, a coin might read 30,000 on one exchange and 30,120 on another for a short while until arbitrage narrows it. During extreme volatility or outages, gaps can widen dramatically because arbitrageurs cannot act fast enough or safely enough. This is also why a single "the price" is a simplification — there are many prices, one per venue, loosely tied together. See why prices differ between exchanges.

What do market makers do?

Market makers are participants who continuously post both a bid and an ask, standing ready to buy or sell at any moment. By quoting both sides, they supply the liquidity that lets others trade instantly, and in return they aim to earn the spread — the small gap between the price at which they buy and the price at which they sell. They are the reason a liquid market has tight spreads and depth: without someone always willing to quote, buyers and sellers would have to wait for a matching counterparty to appear.

A market maker's core challenge is inventory risk. Each time they fill a customer's order they take on a position, and if the price then moves against that inventory before they can offload it, they lose. To manage this they constantly adjust their quotes — widening the spread or skewing it — based on how much inventory they hold and how volatile the market is. This is why spreads widen during turbulence: the risk of holding inventory has risen, so market makers demand more compensation to quote. Their activity is a mechanical, liquidity-providing role, not a directional bet on where prices go. Understanding it explains a great deal about why markets feel smooth or jumpy — see what market makers do.

How do automated market makers (AMMs) work?

An automated market maker is a design used by many decentralised exchanges that replaces the order book with a mathematical formula and a shared pool of funds. Instead of matching individual buyers and sellers, an AMM holds a reserve of two assets — say a token and a stablecoin — in a liquidity pool, and a formula sets the price automatically based on the ratio of the two. The most common formula is the "constant product" rule, where the quantity of one asset multiplied by the quantity of the other must stay constant as trades occur.

When someone trades, they add one asset to the pool and remove the other, which shifts the ratio and therefore the price. As an illustrative, not-market-data example, a pool holding 10 coins and 300,000 stablecoins prices the coin at 30,000; buying some coin removes it from the pool, so the next buyer pays slightly more — the AMM version of walking up an order book. The funds in the pool are supplied by "liquidity providers", ordinary users who deposit both assets and earn a share of the trading fees. This lets a market exist for a token even without professional market makers, which is central to decentralised finance. The trade-off liquidity providers face is impermanent loss. Our full explainer covers how automated market makers work.

What is impermanent loss?

Impermanent loss is the shortfall a liquidity provider in an automated market maker can experience compared with simply holding the two assets separately. It happens because the AMM's formula automatically rebalances the pool as prices move: when one asset rises, the pool ends up holding less of the winner and more of the loser than a passive holder would. The provider still owns a claim on the pool, but that claim is worth less than the un-pooled assets would have been. The loss is called "impermanent" because it shrinks or disappears if prices return to where they started.

As an illustrative, not-market-data example, suppose a provider deposits equal values of a coin and a stablecoin. If the coin's price doubles, arbitrageurs trade against the pool until its ratio reflects the new price, leaving the provider with fewer coins and more stablecoins — and a total value below what just holding both would have given. Trading fees earned by the pool offset this, and in busy pools they can more than cover it, which is the incentive to provide liquidity at all. Impermanent loss is a mechanical property of the constant-product formula, not a bug, and understanding it is essential to understanding why AMM liquidity is priced the way it is. We cover it in depth in impermanent loss explained. This is a description of a mechanism, not advice to provide liquidity.

Why do thin markets move so violently?

Thin markets move violently because there are too few resting orders to absorb trades, so each order pushes the price a long way through the book. In a deep market, a large buy meets a wall of sell orders and barely nudges the price; in a thin one, the same buy exhausts the few available sellers and leaps to much higher levels to find more. Low liquidity is the direct cause of the sharp, jagged swings that characterise small or neglected assets.

Several forces compound this. Thin books have wide spreads, so trades already start far apart. Market makers, wary of holding inventory in an illiquid asset, post little depth and pull it quickly at any sign of trouble. And because prices jump in large steps, stop orders and liquidations can trigger in clusters, sending fresh market orders into an already sparse book and amplifying the move. As an illustrative example, a sell order that would move a deep market 0.1% might move a thin one 20%, then rebound just as sharply once the pressure passes. This is why low-liquidity assets show dramatic wicks and why the same news hits a thin market far harder than a liquid one. The mechanics are explained in why thin markets move violently.

What is liquidity fragmentation?

Liquidity fragmentation is the splitting of trading for the same asset across many separate venues, so that no single order book holds all the available liquidity. Crypto is unusually fragmented: the same coin may trade on dozens of centralised exchanges and numerous decentralised pools at once, each with its own book, its own depth, and its own slightly different price. Instead of one deep pool of buyers and sellers, the market is a patchwork of shallower ones.

Fragmentation has real consequences for how markets behave. Because liquidity is spread thin, each individual venue is easier to move than a single consolidated market would be, and prices can diverge until arbitrage reconnects them. It also makes measuring "true" liquidity harder, since depth on any one exchange understates the total. Some infrastructure fights fragmentation — aggregators and routers that split an order across venues to find the best combined price — but the underlying reality is that crypto liquidity lives in many places at once. This is a structural feature of a market with no central exchange, and it interacts with price differences between exchanges and overall depth. Our explainer covers liquidity fragmentation and why it matters for reading a market.

What is the difference between spot and derivatives markets?

The difference is what actually changes hands. In a spot market you trade the asset itself: buy a coin on spot and you own that coin, settled more or less immediately. In a derivatives market you trade a contract whose value is derived from the asset's price, without necessarily owning the underlying at all. Futures, perpetual swaps and options are all derivatives — agreements about price rather than transfers of the coin.

This distinction shapes how the two markets behave. Spot prices reflect real supply and demand for the coin and are what most other prices reference. Derivatives let participants gain exposure with leverage, hedge existing positions, or bet on price without holding the asset, which means derivatives volume in crypto is often much larger than spot volume. That matters for structure because derivatives markets carry their own mechanics — funding rates, open interest, liquidations — that can feed back into spot prices, especially during stress. As an illustrative example, a wave of forced selling in a leveraged futures market can spill into spot as positions are unwound. Knowing whether a given number refers to spot or derivatives is essential to reading it correctly. We compare them in spot vs derivatives markets.

How do perpetual futures work?

A perpetual future ("perp") is a derivative contract that tracks the price of an underlying asset but, unlike a traditional future, never expires — you can hold it indefinitely. Traditional futures have a settlement date on which their price must converge with spot, which is what keeps them anchored. Perpetuals remove the expiry, so they need a different anchoring mechanism to stop their price drifting away from the spot market. That mechanism is the funding rate, covered in the next section.

Perpetuals are traded with margin and leverage: a participant posts collateral and controls a larger notional position, with profits and losses settled continuously against that collateral. Because they are simple to hold and highly liquid, perpetuals dominate crypto derivatives volume. Their mechanics introduce concepts that ripple through the whole market — funding rates that tether them to spot, open interest that measures how many contracts are live, and liquidations when collateral runs short. As an illustrative, not-market-data example, ten times leverage means a 10% adverse move can wipe out the posted collateral. This section describes how the instrument functions, not whether or how anyone should use it — see how perpetual futures work.

What are funding rates?

A funding rate is the periodic payment exchanged between traders holding long and short perpetual-futures positions that keeps the perpetual's price tethered to the spot price. Because a perpetual never expires, nothing naturally pulls it back toward spot; the funding rate does that job by making it costly to be on the crowded side. It is paid directly between traders — not to the exchange — usually every few hours.

The direction depends on where the perpetual trades relative to spot. When the perpetual is above spot, more people are positioned long, so longs pay shorts a small percentage; this discourages new longs and nudges the price back down. When the perpetual is below spot, shorts pay longs, nudging it back up. As an illustrative, not-market-data example, a funding rate of 0.01% every eight hours means a long pays 0.01% of their position size to shorts at each interval. Persistently high positive funding indicates heavy long positioning; persistently negative funding indicates heavy short positioning — a readout of crowd balance, described here purely as a mechanic and never as a signal to act. The self-balancing design is the whole point: funding is the leash that keeps a never-expiring contract from wandering. Our explainer covers what funding rates are.

How do liquidations cascade?

A liquidation happens when a leveraged trader's collateral can no longer cover their losses, so the exchange forcibly closes the position by selling (or buying) it into the market. A cascade occurs when those forced trades push the price further in the same direction, triggering the next tier of positions to be liquidated, which pushes the price again — a self-reinforcing chain. It is one of the main reasons crypto can move with startling speed during stress.

The mechanism is mechanical, not emotional. Suppose many traders are long with similar liquidation prices. A drop takes the price to that level; their positions are force-sold as market orders; those sells drive the price lower into a thinning book; the lower price hits the next cluster of liquidation levels; and the loop repeats until the selling exhausts itself or fresh buyers step in. As an illustrative, not-market-data example, a 5% dip can accelerate into a much larger drop within minutes when leverage and thin depth combine. Cascades are amplified by low liquidity and by high open interest. Understanding them explains those sudden, near-vertical candles that appear during crashes. See how liquidations cascade.

What is open interest?

Open interest is the total number of derivative contracts — such as perpetual futures — that are currently open and not yet closed or settled. Unlike volume, which counts every trade over a period, open interest is a snapshot of how many positions are live right now. Each contract has a long and a short, so open interest measures the amount of outstanding risk sitting in the market at a given moment.

It is useful because it describes leverage and exposure in a way price alone cannot. Rising open interest means new positions are being opened and more capital is committed to the derivatives market; falling open interest means positions are being closed and exposure is leaving. As an illustrative, not-market-data example, if open interest climbs while price is flat, a lot of new leveraged positioning is building up — and that stored-up leverage is exactly what fuels liquidation cascades when the price finally moves. Analysts read open interest alongside funding and price to gauge how stretched a market is, but here we present it strictly as a descriptive measurement of outstanding contracts, not as a trading indicator. Our explainer covers what open interest is.

What is market cap in crypto?

Market capitalisation, or market cap, is the current price of a coin multiplied by its circulating supply — the number of coins that actually exist and can be traded today. It is a size measurement, meant to express how large a project is relative to others: a coin priced at 30,000 with 19 million coins circulating has a market cap of 570 billion (an illustrative, not-market-data calculation). Because a low unit price can hide a huge supply and vice versa, market cap is a fairer size comparison than price alone.

But it is widely misunderstood, so two cautions matter. First, market cap is not the amount of money invested in an asset; it is a notional figure, and only a fraction of the supply may have traded at the current price. A relatively small buy or sell in a thin market can change the price and therefore swing the "market cap" by far more than the actual money involved. Second, market cap says nothing about quality, safety or liquidity — it is one descriptive number, not a verdict, and this page offers it as information, never as guidance. It also depends heavily on which supply figure you use, which leads directly to the distinction between circulating supply and fully diluted valuation. See what market cap in crypto is.

What is circulating supply?

Circulating supply is the number of coins or tokens that currently exist and are available to trade in the market. It excludes tokens that have not yet been created or released — for example, coins still locked in vesting schedules, reserved for a team or foundation, held back for future rewards, or provably burned. Circulating supply is the figure used in the standard market-cap calculation because it reflects what can actually change hands today.

The concept matters because supply in crypto is rarely fixed or fully released at launch. Many projects distribute tokens gradually over years, so the circulating supply grows over time as locked tokens unlock. That growth can be significant: a coin with a small circulating supply but a large total supply will see many more coins enter the market later. As an illustrative, not-market-data example, a token might have 100 million coins circulating today but a maximum supply of 1 billion, meaning 90% is still to come. Because the circulating figure drives market cap, and because different data sources sometimes count it differently, it is worth checking how a supply number is defined before comparing projects. This distinction sets up fully diluted valuation, the subject of the next section. See what circulating supply is.

What is fully diluted valuation (FDV)?

Fully diluted valuation is the current price multiplied by the maximum supply that will ever exist, rather than the circulating supply that exists now. Where market cap asks "what are the coins that exist today worth", FDV asks "what would every coin that will ever exist be worth at today's price". Because maximum supply is usually larger — often much larger — than circulating supply, FDV is typically higher than market cap, sometimes by many multiples.

FDV is a useful hypothetical but an easily misread one. It assumes every future token already exists and is priced at today's level, which is an accounting scenario, not a real amount of money in the asset. Comparing market cap with FDV shows how much future dilution is coming: a small gap means most tokens are already circulating, while a large gap warns that a flood of tokens is still scheduled to unlock. As an illustrative, not-market-data example, a token at 5 with 100 million circulating has a 500 million market cap, but with a 1 billion maximum supply its FDV is 5 billion. Neither figure is a valuation verdict, and this page presents both purely as definitions. Together, circulating supply, market cap and FDV form the vocabulary of "how big is this", explored in what fully diluted valuation is.

How can trading volume be faked?

Trading volume can be faked through wash trading — an entity, or colluding parties, repeatedly trading with itself so that reported volume swells without any genuine change of ownership. Because volume is often used as a proxy for popularity and liquidity, inflating it can make a token or an exchange appear far more active and trustworthy than it is. It is a form of market manipulation and is prohibited on regulated venues, but crypto's fragmented, uneven oversight has historically made it common.

The tell is that faked volume leaves no real footprint. Genuine volume comes with matching depth, spread behaviour and price impact; wash volume does not, because no real liquidity underlies it. Analysts detect it statistically — looking for self-matching trades, implausibly regular or round trade sizes, volume that dwarfs a venue's order-book depth, or activity patterns that violate the natural distributions real markets follow (such as Benford's Law on leading digits). As an illustrative example, an exchange reporting billions in daily volume on a coin whose order book is only a few thousand deep is a red flag. This is why serious analysis weights "real" or adjusted volume rather than headline figures. Our explainer covers wash-trading detection and how to read volume sceptically.

What is a candlestick chart?

A candlestick chart is a way of drawing price over time in which each "candle" summarises four numbers for a period: the opening price, the closing price, and the highest and lowest prices reached. The thick part, the "body", spans between the open and close, while thin lines called "wicks" or "shadows" reach out to the high and low. Colour convention shows direction — commonly green when the close is above the open and red when it is below. One candle might represent a minute, an hour, or a day, depending on the chart's timeframe.

Candlesticks are simply a compact, information-dense way to read what happened, not a tool that predicts anything. A long body shows a decisive move within the period; a small body with long wicks shows the price ranged widely but ended near where it began, which often signals indecision or that a spike was rejected. As an illustrative example, a candle with a tiny body and a long lower wick means the price fell sharply during the period but buyers pushed it back up before the close. Because this pillar covers mechanics only, we describe candlesticks as a data-visualisation format — how to read the four values — and deliberately do not teach pattern-based trading strategies. See what a candlestick chart is.

What can on-chain flow data show?

On-chain flow data is information drawn directly from a blockchain's public ledger about how coins are moving — between wallets, into and out of exchanges, and among identifiable groups of holders. Because most crypto transactions are recorded on a transparent, permanent ledger, anyone can observe aggregate flows in a way that has no equivalent in traditional markets, where such data is private. Analysts label clusters of addresses (for example, known exchange wallets) and then measure the volumes flowing to and from them.

These flows describe activity, not destiny. Large transfers of coins onto exchanges are often read as coins becoming available to trade, while transfers off exchanges into private wallets are read as coins being moved to longer-term storage — but these are interpretations of behaviour, not forecasts, and they are frequently ambiguous. As an illustrative example, a big inflow to an exchange might reflect an upcoming sale, a custody reshuffle, or an internal wallet migration; the raw flow alone cannot tell you which. On-chain data also underpins network-health measures like active addresses and fees. We treat it here as a source of observable, mechanical facts about coin movement — context for understanding a market, not a trading signal. Our explainer covers on-chain flow data and its limits.

What is MEV, and how does a flash loan fit in?

MEV — maximal (originally "miner") extractable value — is the profit that whoever orders transactions in a block can capture by choosing which transactions to include and in what sequence. Because blockchains process transactions in blocks, and the party building a block decides their order, that ordering power has value: it can be used to insert, reorder, or sandwich transactions in ways that extract money from ordinary users. MEV is a structural consequence of how public blockchains sequence trades, especially on decentralised exchanges.

A flash loan often supplies the capital. It is an uncollateralised loan that must be borrowed and repaid within a single transaction: if repayment (plus fee) does not happen by the end of that transaction, the whole thing reverts as if it never occurred. This lets someone temporarily wield very large sums with no upfront capital to perform an MEV or arbitrage operation atomically. As an illustrative example, a searcher might borrow a large sum in a flash loan, use it to correct a price discrepancy across pools, and repay the loan — all in one atomic step. Both are mechanics of how blockchain markets are ordered and financed, described here neutrally. See what MEV is and what a flash loan is.

What happens when an exchange halts or goes down?

When an exchange halts trading or suffers an outage, its order book freezes: no new orders match, existing orders cannot be cancelled, and the last-traded price is stuck until service resumes. Halts can be deliberate — a venue pausing a market during extreme volatility or a technical fault — or accidental, when systems are overwhelmed by traffic exactly when activity spikes. Either way, the effect is that a slice of the market's liquidity temporarily vanishes.

This has knock-on structural effects. With one venue offline, liquidity fragments further and prices on the remaining venues can diverge more widely, because arbitrage between them is broken. Traders unable to close or adjust leveraged positions on the frozen venue may be liquidated the instant it reopens, sometimes into a very different price. As an illustrative example, if a major exchange goes down during a sharp move, other venues may gap away from its stale last price, and the reopening can be turbulent as orders that piled up during the outage all execute at once. Outages are a reminder that markets are also infrastructure, and that "the price" depends on the machines that publish it still running. See exchange outages and halts.

Where to go next

This pillar is the map; each linked article is the territory. If you are new to market structure, a sensible path is to start with the order book, then liquidity, then the spread and slippage — the four ideas everything else rests on. From there, the derivatives strand (perpetual futures, funding rates, liquidations) and the valuation strand (market cap, circulating supply, FDV) each stand on their own.

A reminder about what this section is. Everything in the Markets area of Crypto Pro Network explains how the machinery works. It is educational, mechanics-only material — it contains no signals, price targets, entries, exits or strategies, and nothing here is a recommendation to buy, sell or hold anything. All numeric examples are illustrative and are not market data or predictions. And Crypto Pro Network is an independent publication, not a trading platform, exchange, broker or wallet: there is no account to open and nothing to deposit. If you are unsure whether a site using this name is genuinely us, read our disambiguation page, and browse the glossary for plain-language definitions of any term above.

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