
Bitcoin was invented so that money could move without a bank. Ethereum was invented so that financial products themselves could run without a bank. The difference sounds subtle, but in practice it pushed the two networks into different corners of the market. To understand what Ethereum is, one thought is enough: this is not "the second cryptocurrency after Bitcoin" but a computer spread across tens of thousands of machines, where ETH plays the role of fuel.
Below we go through how the network is built, the history of how it appeared, eleven parameters on which it differs from Bitcoin, and how that difference shows up in the order book when you trade ETH intraday.
Ethereum is an open network in which developers deploy programs, and independent nodes verify their execution against shared rules. Whether a particular application can be stopped or upgraded depends on its code and on admin rights. Such programs are called smart contracts. The network stores their code and current state on thousands of independent nodes at the same time.
If you answer the question of what Ethereum is in one sentence, it comes out like this: a global ledger with code execution built in, where records change only according to rules written in advance.
ETH and Ethereum are different things, and the confusion here costs money. Someone typing "ethereum what is it" into search usually wants to learn about the coin and gets a description of the network instead. So, to be clear: Ethereum is the network. ETH is the coin inside it. Computation on the network is paid for in ETH, validators are rewarded in ETH, and the stake for taking part in consensus is also posted in ETH. When a trader says "I bought ether," they mean the asset. When a developer says "I deployed to ether," they mean the network.
Technically, the foundation of all of it is the EVM (Ethereum Virtual Machine), a virtual machine that executes bytecode identically on every node. Any node runs the same transaction and gets the same result. A node checks the result against the protocol rules and rejects invalid blocks. Determinism makes execution verifiable, but it does not guarantee that the contract itself was written without bugs.
Addresses on the network come in two types, and the difference between them explains almost everything else. A regular address belongs to a person and is controlled by a private key: it can sign transactions. A contract address belongs to code, has no private key, and reacts only to incoming calls. When you send ETH to a DeFi protocol, you send it to a contract address, and what happens next is determined by the code, including any powers the code grants to administrators. After Pectra in 2025, a regular account can delegate execution to contract code. Such a delegation stays in place until it is changed or revoked; the owner's key keeps control of the account.
The network itself is held up by nodes – independent computers whose full nodes store and verify the state of the network: balances, contract code, and contract variables. Hardware requirements matter fundamentally here: the cheaper it is to run a node, the more independent verifiers there are, and the harder it becomes to agree on rewriting history. That is exactly why throughput on the base layer is increased cautiously (more on that below).
The general principle of a distributed ledger – blocks, hashes, and confirmations – is covered in the article "What Is Blockchain in Simple Terms".
Vitalik Buterin was born in 1994, grew up in Canada, and while still a teenager became one of the founders of Bitcoin Magazine. The idea grew out of watching developers try to bolt onto Bitcoin functions its deliberately limited script was never meant for, with workarounds that came out clumsy.
On November 27, 2013, Buterin published a white paper with a simple thesis. You should not build a separate blockchain for every task; you should build one blockchain with a general-purpose programming language and let programs on top of it handle the tasks.
In 2014 the project was presented publicly, Gavin Wood prepared the technical specification of the protocol, and the team ran a sale of future ETH for bitcoins.
The network launched on July 30, 2015, under the code name Frontier. Raw, slow, without decent tooling.
Then came the episode that still shapes the project's reputation. In 2016, The DAO was assembled on Ethereum, an investment fund governed by code. On June 17, 2016, an attacker exploited a recursive call vulnerability in the contract and drained about 3.6 million ETH. On July 20, 2016, the community carried out a hard fork that rolled back the consequences of the hack. Some participants disagreed with the rollback and stayed on the old chain, which is how Ethereum Classic (ETC) appeared.
The vulnerability sat in the application's code. Correct execution of a contract by the network does not protect against a bug in the contract itself.
After that came the waves: the ICO boom on ERC-20 tokens in 2017, the explosive growth of DeFi in 2020, NFTs in 2021. In parallel, a change of consensus was being prepared: on December 1, 2020, the Beacon Chain went live, a separate Proof-of-Stake chain that ran alongside the main network for almost two years and tested consensus with no load on it. Only after that, on September 15, 2022, were the two chains merged without halting the network and without losing history.
After the merge, upgrades came roughly once a year: Shapella (April 12, 2023) opened withdrawals of staked ETH, Dencun (March 13, 2024) and Fusaka (December 3, 2025) made the second layer cheaper and wider, and Pectra (May 7, 2025) reworked staking and addresses.
At the user level, the difference between Bitcoin and Ethereum is easiest to see through what you can do with the asset.
Bitcoin you can store, send, receive, and attach spending conditions to: multisig, a timelock, a payment channel like the ones the Lightning Network is built on. More complex logic for Bitcoin is built outside, in sidechains and layers on top of the base layer. The options exist, but each of them is a separate construction around a narrow set of operations.
With ETH the same list continues inside the network itself, without add-ons. Post ETH as collateral and borrow stablecoins without selling the asset. Swap a token through a decentralized protocol without a centralized intermediary. Issue your own token. Deploy a contract that makes a payout once the conditions are met and the relevant function is called. Put ETH into staking and earn a reward for helping run the network.
This is why, when someone asks what Ethereum is, a short answer along the lines of "the number two cryptocurrency" is misleading. The market ranking applies to ETH; it does not describe what the network is for. Ethereum itself should be compared not with Bitcoin but with an operating system that applications live on top of. Hence the project's staying power: even in periods when the price of ETH fell severalfold, applications on the network kept working and generating fees.
Standardization solved the second half of the problem. ERC-20 describes how a fungible token should behave, ERC-721 a non-fungible one. Thanks to these specifications, wallets and exchanges can reuse compatible tooling across many tokens. But the specifics of each contract, its fees, and the security of each asset still call for a separate check.
The query "ethereum and bitcoin difference" is usually typed in the expectation of a list of technical parameters. But the difference starts not with technology but with the problems the creators set out to solve. Everything else (consensus, issuance, block speed) follows from how the problem was framed.
Bitcoin, per the description on bitcoin.org, is the first decentralized peer-to-peer payment network that works without a central authority or intermediaries. New coins are created on a declining and predictable schedule until issuance stops at 21 million.
The issuance cap is not a technical detail but the whole point of the design. Supply is known years ahead, and changing it is impossible without the agreement of the overwhelming majority of the network. Hence the "digital gold" narrative, and hence the deliberate simplicity. The fewer capabilities the protocol has, the smaller the attack surface and the easier it is to verify its security.
Ethereum was built from the opposite premise. Maximum flexibility, a general-purpose language, the ability to express any logic. The price of flexibility is complexity. Every network upgrade is a risk, every smart contract is a potential hole, and the story of The DAO showed that in practice in the very first year.
Put simply, Bitcoin chose reliability at the cost of features, and Ethereum chose features at the cost of complexity. Neither approach is better than the other; they solve different problems.
A smart contract is a program that lives at its own address on the network and runs automatically when a transaction arrives. It cannot be edited after publication (unless upgradeability was built in beforehand), and whether it can be paused depends on the functions and rights the developers provided for.
Let's work through a hypothetical example; all the numbers in it are there for illustration. You put 10 ETH into a lending protocol's contract at a price of $3,000 per coin, the collateral is worth $30,000, and you borrow 12,000 USDT against it, that is, 40% of the collateral value. Suppose the liquidation threshold in this protocol is 80%: the position is liquidated once the debt exceeds 80% of the collateral value. Doing the math: 12,000 / 0.8 = $15,000, which means liquidation arrives at an ETH price of around $1,500, after a 50% drop. When the price reaches that level, nobody makes the decision by hand. Any network participant can call the liquidation function: they repay part of the debt and take the corresponding part of the collateral at a discount. Real thresholds and discounts differ from protocol to protocol, and I would advise working out that threshold yourself from the contract documentation before your first loan.
This mechanic is exactly what explains part of the cascade moves: on-chain liquidations fire algorithmically, with no pause for thought, and on a sharp price move they add selling to an already falling market.
Bitcoin's base layer has nothing of the kind. Its script can check signatures, set timelocks, multisigs, and hash locks, but it cannot store arbitrary state, run loops, or call itself. The limitation was made on purpose, so that every transaction is verified quickly and predictably. Complex logic for Bitcoin, as already said, is built outside. Ethereum, on the other hand, provides a general-purpose execution environment right in the base layer, and that is the main technical difference.
Payment for computation is measured in gas – units of computational work. A simple ETH transfer costs 21,000 units of gas, a call to a complex contract many times more. The final fee is the amount of gas multiplied by the sum of the base fee and the tip to the validator.
The base part of the fee goes to no one; the network burns it. The mechanism was introduced with the London upgrade on August 5, 2021 (EIP-1559), and it also tied demand for block space to the supply of ETH. The more actively the network is used, the more ETH is taken out of circulation.
The base rate is recalculated every block: the target fill is half of the gas limit, a block above target raises the rate by at most 12.5% for the next block, and a block below target lowers it, also by no more than 12.5%. The growth turns out to be exponential, which makes keeping the network congested for long an expensive thing to do.
Smart contracts have a built-in limitation worth knowing about before you hand them money. A contract does not see the outside world. It does not know the price of ETH on an exchange or the dollar exchange rate; all it has access to is what is recorded inside the blockchain. So external information is fed in by an oracle – a separate service that writes it to the network. An oracle adds a risk of its own: a wrong or manipulated price can lead to incorrect collateral calculations and liquidations even when the blockchain works flawlessly.
Bitcoin runs on Proof-of-Work. Miners grind through hashes, spend electricity, and the first to find a solution assembles the block and gets the reward. Network security rests on the cost of hardware and energy.
Ethereum worked the same way until September 15, 2022. On that day The Merge upgrade went through, and the network switched to Proof-of-Stake. Instead of computation, validators post a stake in ETH. For correct operation they receive rewards. Certain violations, for example contradictory signatures, lead to slashing: the loss of part of the stake and a forced exit. Ordinary downtime brings penalties, but by itself it is not the same as slashing.
What the transition actually changed, per the description on ethereum.org.
And separately, about a widespread misconception. The Merge did not lower fees and was never meant as a way to lower them. Ethereum.org puts it plainly: it was a change of consensus mechanism, not an expansion of throughput. The fee depends on demand for block space, not on the way the order of blocks is agreed upon.
Staking and Proof-of-Stake are also different concepts, though they are constantly mixed up. PoS is the mechanism by which the network agrees on the order of transactions. Staking is a way of taking part in that mechanism. Running your own validator takes 32 ETH and a node that is always on. After the Pectra upgrade in May 2025, the maximum effective balance of a single validator grew from 32 to 2,048 ETH, so large stakers are no longer forced to spawn hundreds of separate validators. Withdrawing the stake became possible only in April 2023, after Shapella: before that, staked coins were frozen for more than two years.
Through pools and liquid protocols the entry threshold drops to fractions of a coin, but smart contract and operator risks come with it, which solo staking does not have. The staking reward is a floating figure: it depends on the total number of validators and on network activity, and the more ETH is staked, the less each one gets. There is no guaranteed rate in the protocol, so any specific annual figure is a snapshot on a date, not a promise. The mechanics and the pitfalls are covered in the article "Crypto Staking: How It Works and How Much It Pays".
A network without applications is empty infrastructure. In practice, the answer to what Ethereum is comes down to a list of what runs on it every day.
Decentralized finance reproduces banking services through smart contracts. Asset swaps, collateralized lending, derivatives, insurance – often available through a wallet with no bank account. That said, individual interfaces and services may restrict access or require identification.
It runs on a few simple building blocks. Liquidity pools replace the classic order book: the price in them is calculated by a formula based on the ratio of assets in the pool. Liquidity providers deposit a pair of assets and receive part of the fee from every trade. Many open lending protocols require over-collateralization, since they do not rely on a normal check of the borrower's solvency. Other models exist too, including flash loans repaid within the same transaction.
The main unit of account inside this world is stablecoins, tokens pegged to the dollar. Stablecoins are convenient for settlement and for accounting for collateral, though they carry their own risk of losing the peg. Demand for Ethereum's resources is created not only by ETH transfers but also by operations with such tokens and by calls to applications.
The key property is composability. One protocol calls another within a single transaction, and off-the-shelf blocks add up to schemes nobody designed as such. The flip side of the same coin: a hack of one protocol hits everyone tied to it.
The risks here are of a different sort than on an exchange. A bug in contract code, manipulation of a price oracle, impermanent loss for a liquidity provider. How the ecosystem is built and what its risks are is covered in the article "What Is DeFi in Simple Terms".
An NFT is a token with a unique identifier, which is why one unit does not equal another. The ERC-721 standard describes how such a token should behave.
Public memory kept the pictures and the record sales of 2021. The practical meaning of the technology is broader and more boring. Domain names, where a wallet address is tied to a readable name. Tickets with a verifiable ownership history. In-game items that live separately from the game account.
A practical detail. The file itself is usually not stored in the blockchain; only a link and a description go there. If the storage behind the link stops responding, the token remains and the image disappears.
Throughput on the main network is limited on purpose. Every node has to verify every transaction, and if you keep raising the load without end, home nodes die out and the network centralizes around data centers.
The solution was found not in speeding up the first layer but in moving computation to the second. Layer-two networks (rollups) execute transactions on their own side, compress the result, and write it to Ethereum. Data and proofs tie the rollup to the main network, and the cost of writing is spread across the transactions in the batch. Risks of the specific implementation, the bridge, upgrades, and operators still remain.
The two main approaches differ in how honesty is proved. Optimistic rollups (Arbitrum, Optimism) treat transactions as valid by default and give a window of roughly a week during which anyone can challenge the result through a fraud proof. ZK rollups confirm the correctness of computation with cryptographic proofs. Preparing and publishing a proof takes time, so instant confirmation in the interface is not the same as final settlement on Ethereum.
The decisive moment for L2 economics was the Dencun upgrade on March 13, 2024. It brought blobs (EIP-4844) – separate cheap storage for rollup transaction batches, whose contents the network deletes after about 18 days as no longer needed. The cost of writing for the second layer fell several times over.
After that, capacity was expanded step by step. The Fusaka upgrade activated on December 3, 2025, and brought PeerDAS (EIP-7594), a mechanism under which a node does not need to download a blob in full and can instead sample-check its availability. Subsequent changes to blob parameters expanded capacity for rollup data.
The result shows up in fees: comparable operations on the second layer often cost less, but the difference depends on the network, the operation, and the current load. Exact figures drift along with the load, and ethereum.org shows current averages on its page about layer-two networks.
For a trader the practical takeaway is this. ETH on the main network and ETH on the second layer are the same asset but different environments. Moving between layers requires a bridge, takes time, and carries risks of its own, and in the case of optimistic rollups a withdrawal back to the first layer through the native bridge waits out the challenge period.
For a trader, knowing what Ethereum is is not enough. You need to understand how ETH behaves in the order book differently from Bitcoin, because it differs noticeably.
First. The amplitude of ETH's moves may differ from BTC's, and the relationship between them changes over time. Before a trade, you compare actual volatility over the same interval. You cannot assume in advance that ether will necessarily repeat Bitcoin's move with a wider swing.
Second. ETH has drivers of its own that Bitcoin does not. Dates of network upgrades, changes in the amount staked, liquidity migrating between L2s, major events in DeFi. At such moments the correlation with Bitcoin temporarily breaks, and the ETH/BTC pair starts living its own life.
Third concerns liquidity directly. On the large ETH/USDT pairs the order book holds a dense flow of orders, and density levels (a large volume of limit orders at one price) show up at round levels there regularly. But liquidity is spread across dozens of venues, and in moments of panic an empty order book on one exchange alongside a normal one on another is an ordinary sight. For scalping this gives a simple rule: look at the venue where you actually get filled, not at an averaged chart.
Fourth. The tape shows executed trades, their size, and the side of the aggressor. A trade size filter helps to pick out large executions, but size alone cannot reliably identify a bot or a participant's intent. Clusters group turnover by price within a candle. Small trades are part of real volume too; filtering only changes how you view it.
Fifth. ETH is tightly tied to the funding rate on perpetual contracts (the funding rate is a periodic payment between longs and shorts that pins the contract price to spot). When the rate stays positive for a long time, longs pay shorts, but a positive rate by itself does not predict a drop or a liquidation cascade. Assessing risk also takes price, open interest, and liquidity.
Sixth, about costs. The spread on liquid ETH pairs is usually tight, but when macro data comes out and in the first seconds after news it widens, and orders on the near levels get pulled. A hypothetical calculation: a trade target of 0.3%; in normal times the spread and slippage together take hundredths of a percent, while at the moment of news those same two items can cost 0.2–0.3%. Such costs can swallow the entire expected result even before trading fees are counted. Look at the venue's fee separately: with dozens of trades a day it becomes the main cost item.
When none of this works. On the day of the network's own event (an upgrade, a major DeFi hack, an outage of a popular bridge), ETH can move independently of Bitcoin for a while, and the reasoning "ether has run out of steam, so Bitcoin will turn around soon too" stops working: ether is being moved by its own news, not by the broad market.
Typical mistakes when working with ETH.
What comparing the two assets intraday actually gives you. A divergence between ETH's and BTC's moves helps you notice a change in the current relationship between the assets. If one instrument is rising while buying weakens on the other, that is a reason to check the context. By itself, a divergence does not prove a future reversal and does not replace entry conditions and risk limits set in advance.
A candlestick chart shows price movement, while the trade flow and the order book add information about executions and available orders. In Secret Terminal, the order book with density levels, the tape with volume filtering, and cluster analysis open on the same pair across different venues, so divergences in liquidity between exchanges are visible right away rather than after the fact.
This material is educational and contains no investment recommendations: trading decisions are yours to make.
What is Ethereum in simple terms?
Ethereum is a network where, besides money transfers, programs (smart contracts) run that execute automatically and identically on thousands of computers at once. ETH is the coin inside the network that pays for computation. Bitcoin can store and transfer value; Ethereum can additionally execute arbitrary logic.
What is Ethereum in essence, a currency or a technology?
More a platform with its own currency inside. Ethereum is a network and a computing environment; ETH is the asset that circulates in it. That is why the comparison "ETH vs. BTC" is only correct at the level of assets, while at the level of networks what you compare is purpose, not market capitalization.
How does Ethereum differ from Bitcoin in a nutshell?
In its purpose. Bitcoin was made as money with a hard issuance limit of 21 million coins; Ethereum was made as a platform for applications with no issuance cap. Everything else follows from that: smart contracts, Proof-of-Stake instead of mining, a 12-second slot versus about 10 minutes, and a fee for computation instead of a fee for space in a block. ETH has no issuance ceiling, but since 2021 the base part of the fee has been burned, and under heavy load supply can even shrink.
Can you mine Ethereum?
No. ETH mining ended on September 15, 2022, when the network switched to Proof-of-Stake. Instead of miners, blocks are produced by validators who post a stake in ETH. Every offer of "ether mining" after that date refers either to other coins or to scams.
How much ETH do you need for staking?
Running your own validator takes 32 ETH and a node that is always on. Through pools and liquid protocols the entry threshold is lower, but smart contract and operator risks appear. Staking yield floats and depends on the total amount of staked coins, so check the current figure on ethereum.org on the date you decide.
Why are fees on Ethereum sometimes high, and what is gas?
Gas is a measure of the computational work the network will do for your transaction: a simple transfer costs 21,000 units, a call to a complex contract many times more. Space in a block is limited while demand for it changes, so the base fee is recalculated every block and grows by up to 12.5% per block while blocks are full. You pay for the load on the network, not for the amount: sending a million dollars and sending one dollar cost the same.
Which is better to buy, ETH or BTC?
There is no universal answer: these are two instruments with different profiles. Both assets react to broad market conditions, and ETH additionally to events in its own ecosystem. Their relative volatility depends on the period you pick. For intraday trading, what matters is not the choice between them but understanding exactly how each behaves in the order book and on the tape on your venue.
Trade ETH through Secret Terminal: connect your exchange keys, open the order book and the tape on ETH/USDT on your venue, and read the move at the level of trades rather than candles.

Has 5 years of trading experience and spent 3 years as a mentor, training over 2,000 students. He is developing Secret Terminal to make professional trading tools accessible to every trader.
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