Crypto Terms Category: Decentralized Finance (DeFi)

    Play-to-Earn (P2E)

    Play-to-Earn (P2E) is a blockchain-based gaming model that enables players to generate real economic value through gameplay by earning cryptocurrency tokens, non-fungible tokens (NFTs), and other digital assets that can be traded, sold, or converted to fiat currency. Unlike traditional gaming models where in-game items remain the property of the game publisher and have no external monetary value, P2E games leverage decentralized ledger technology to grant players true ownership of their digital assets through cryptographic verification on the blockchain. The P2E model fundamentally restructures the relationship between game developers and players. In conventional free-to-play or pay-to-play games, the economic flow is unidirectional – players spend money on in-game purchases with no mechanism to recoup that investment. Play-to-Earn inverts this dynamic by creating tokenized economies where time, skill, and strategic decision-making translate directly into fungible tokens (used for governance, staking, or trading) and non-fungible tokens (representing unique in-game characters, weapons, land plots, or cosmetic items). These assets exist on public blockchains such as Ethereum, Ronin, Solana, or Immutable X, ensuring that players retain custody and can transact peer-to-peer without intermediaries. The economic mechanics of P2E games typically involve dual-token systems. A governance or utility token serves as the primary medium of exchange within the game’s economy (e.g., AXS for Axie Infinity, GMT for STEPN), while a secondary reward token is distributed to players through gameplay (e.g., SLP – Smooth Love Potion – in Axie Infinity). Players earn rewards by completing quests, winning battles, breeding or crafting NFT assets, staking in-game resources, or contributing to the game’s ecosystem through marketplace activity. The sustainability of a P2E economy depends on a careful balance between token emission (rewards distributed to players) and token sinks (mechanisms that remove tokens from circulation, such as breeding fees, crafting costs, or marketplace transaction fees). P2E has also given rise to the “scholarship” model, where asset owners lend their NFTs to players who cannot afford the initial entry cost. The scholar plays the game and earns tokens, which are split between the scholar and the asset owner according to pre-agreed terms. This system created employment-like opportunities in developing nations, particularly in the Philippines and Southeast Asia, where Axie Infinity scholarships became a significant income source for thousands of families during 2021. Origin & History 2013-2016: Early blockchain games explored the idea of earning cryptocurrency through gameplay, with projects like Huntercoin among the earliest experiments. These projects had minimal player bases, but they established the foundational concept that blockchain could underpin game economies. 2017: CryptoKitties launched on Ethereum, demonstrating massive consumer interest in blockchain-based digital collectibles. While not a P2E game in the modern sense, CryptoKitties proved that players would pay real money for verifiably scarce digital assets and that secondary markets for in-game NFTs could thrive. 2018: Axie Infinity was founded by Vietnamese studio Sky Mavis, led by Trung Nguyen and Aleksander Larsen. The game introduced a breeding, battling, and trading mechanic built around NFT creatures called Axies. Initially running on Ethereum, the game struggled with high gas fees and slow transactions. 2020: Sky Mavis announces work on the Ronin sidechain in June, a purpose-built Ethereum-linked sidechain intended to reduce transaction costs and processing times for Axie Infinity. A public testnet follows in December. 2021: Ronin’s mainnet launches in February, with Axies migrating over from Ethereum in April, making the game far more accessible to players in lower-income regions. Axie Infinity subsequently exploded in popularity, reaching over 2.7 million daily active users by November 2021. The game generated substantial NFT marketplace volume, and its AXS governance token reached a significant market capitalization at its November 2021 peak. The Philippines became a major player base, with many families reportedly earning income through Axie scholarships that was, for a period during 2021, comparable to or exceeding local wages – though this became much harder to sustain as token prices fell in 2022. 2021-2022: A wave of P2E projects launched, including The Sandbox, Illuvium, Gods Unchained, STEPN (move-to-earn), and Star Atlas. Venture capital investment in blockchain gaming grew substantially in 2021. 2022: The Ronin bridge hack on March 23 resulted in the theft of roughly $620-625 million in ETH and USDC from the Axie Infinity ecosystem (figures vary slightly by source depending on the exact token prices used), exposing critical security vulnerabilities in P2E infrastructure; it was later attributed to the North Korea-linked Lazarus Group. Simultaneously, declining token prices caused many P2E economies to enter “death spirals” where falling rewards reduced player incentives, leading to further token sell-offs. SLP’s price crashed by more than 99% from its peak amid the broader crypto downturn. 2023-2026: The industry shifted toward “Play-and-Earn” models emphasizing gameplay quality alongside earning potential. Projects like Illuvium, Shrapnel, and Off The Grid focused on higher-production-value gaming experiences with more sustainable tokenomics, learning from the boom-bust cycles of earlier P2E games. Sky Mavis has since announced plans to migrate Ronin from a standalone sidechain to a full Ethereum Layer-2, reflecting a broader shift in how gaming-focused chains position themselves relative to Ethereum’s security and liquidity. In Simple Terms Imagine working at a job where instead of receiving a paycheck, you earn gold coins that can be traded for real dollars. Play-to-Earn is like a video game that functions as a part-time job – you play, complete tasks, and earn cryptocurrency that has real monetary value outside the game. Think of a traditional board game like Monopoly. You buy properties, earn rent, and accumulate wealth, but when the game ends, the money is worthless. Now imagine if that Monopoly money could be exchanged for real cash at the end of the game – that is essentially what Play-to-Earn does by putting game economies on the blockchain. Picture a farmer’s market where you grow digital crops in a game, harvest them as tokens, and then sell those tokens at a real marketplace for real money. The game world is the farm, the blockchain is the marketplace, and the tokens are your produce. Consider how YouTube creators earn money by producing content that

    Proof of Authority (PoA)

    Proof of Authority (PoA) is a consensus mechanism in which a small set of pre-approved, identity-verified validators are granted the exclusive right to produce blocks and validate transactions on a blockchain network. Unlike Proof of Work (which relies on computational power) or Proof of Stake (which relies on economic stake), PoA derives its security from the reputation and identity of its validators – their real-world identity and professional standing serve as collateral. PoA was first proposed by Gavin Wood, co-founder of Ethereum, as a practical alternative for networks where maximum decentralization is less important than performance, reliability, and known validator accountability. The key insight is that when validators are known entities whose reputations are at stake, the system can achieve high throughput and low latency without the overhead of mining or staking competitions. This consensus model has found its primary applications in enterprise blockchains, testnets, and hybrid networks where the participants are known and partially trusted. VeChain, several current and former Ethereum testnets, and private consortium chains have used PoA. BNB Chain’s Proof of Staked Authority (PoSA) represents a popular hybrid that blends PoA’s identity-based trust with DPoS’s stake-based elections. Origin & History 2014: Early private blockchain implementations (like Hyperledger and R3 Corda) use trust-based consensus without formally naming it. 2015: In November, Gavin Wood publishes a GitHub document titled “PoA Private Chains,” first articulating the concept of identity-based consensus for non-public Ethereum networks – the earliest known formal proposal of what would become Proof of Authority. 2017: Following a denial-of-service attack on the Ropsten testnet in February, the Ethereum developer community formalizes and implements PoA at scale. The Kovan testnet launches using the Aura engine (built into Parity), becoming one of the first public Ethereum testnets using PoA and replacing the spam-vulnerable Ropsten for many developers. EIP-225 (“Clique: Proof-of-Authority Consensus Protocol”) is also proposed this year, giving PoA a formal specification within Geth (Go-Ethereum). 2018: VeChain launches its mainnet with PoA, using 101 authority masternodes operated by known enterprises and institutions. 2019: The Görli testnet launches in January with PoA (Clique engine), becoming Ethereum’s first cross-client testnet – meaning it worked across all major Ethereum clients rather than being tied to a single implementation. 2020: BNB Smart Chain launches with Proof of Staked Authority (PoSA), combining PoA with DPoS elements – becoming the most widely-used PoA-influenced network by transaction volume. 2021: Palm Network launches with PoA for NFT applications, backed by ConsenSys and featuring known validator nodes. The Sepolia testnet also launches this year, initially as a smaller, permissioned testnet intended for application developers. 2022: VeChain introduces PoA 2.0 with finality gadgets and committee-based block production, addressing limitations of the original PoA design. 2023: In September, the Holesky testnet launches (a proof-of-stake, not PoA, network) to take over Görli’s role in staking and validator infrastructure testing. In November, the Ethereum Foundation announces Görli’s planned deprecation following the Dencun upgrade, encouraging developers to migrate to Sepolia (for application testing) or Holesky (for staking and infrastructure testing). 2024: Görli is substantially retired between January and April, with Sepolia established as the primary recommended testnet for Ethereum application developers – and, being PoA-based, extending PoA’s role as the backbone of Ethereum’s testing infrastructure. 2025: Holesky itself is deprecated in September, replaced by Hoodi (launched in March) as the newer proof-of-stake testnet for validator and protocol-level testing – illustrating that Ethereum’s testnet infrastructure (PoA and otherwise) continues to evolve on an ongoing basis, distinct from PoA’s more stable role in enterprise chains like VeChain. In Simple Terms Think of PoA like a notary public system. Only licensed, verified notaries (validators) can certify documents (blocks). Their professional license and reputation are on the line, so they’re motivated to act honestly. It’s like a private members’ club with a vetted door policy. You can’t just walk in – validators must pass identity verification and meet criteria. Once inside, operations are fast and orderly because everyone is known and accountable. Imagine a corporate board of directors. A small group of identified individuals (validators) make decisions (produce blocks) for the organization (network). They were chosen for their qualifications and can be removed for misconduct. It’s similar to how a consortium of banks processes interbank transfers. The participating banks (validators) are known entities with real-world reputations at stake. They don’t need to compete or prove wealth – their identity provides the trust. Think of a neighborhood watch with registered volunteers. Only identified, vetted members can report incidents (validate blocks). Their real names and addresses are on file, so they’re accountable for false reports. Important: PoA is inherently centralized – it relies on trusting a small group of known entities. This makes it unsuitable for applications requiring censorship resistance or trustlessness. PoA is best suited for enterprise applications, testnets, and environments where participants are known and regulated. Key Technical Features Validator Selection and Identity Consensus Engines Two primary PoA engines have been used in the Ethereum ecosystem: Aura (Authority Round): Clique: Block Production Process VeChain PoA 2.0 VeChain’s upgraded PoA mechanism adds several innovations: Advantages & Disadvantages Advantages Disadvantages Extremely high throughput – No mining/staking competition enables high transaction throughput, though exact figures vary widely by implementation Centralized – A small group of known entities controls the network Near-instant finality – Blocks are confirmed within seconds, with reduced reorganization risk depending on implementation Not censorship resistant – Validators can collude to censor transactions Predictable block times – Round-robin scheduling produces blocks at regular intervals Requires trust – Users must trust that validators will act honestly Minimal hardware requirements – Validators don’t need specialized mining equipment Limited public participation – Users cannot become validators without approval Energy efficient – No computational puzzles or staking competition Single point of failure risk – Compromising a small number of validators could compromise the network Simple implementation – Fewer moving parts than PoW or PoS Regulatory concentration – Governments can pressure known validators to comply with censorship orders Identity-based accountability – Validators are known and can be held legally responsible Reputational collateral is

    Front Running

    Front running in the context of blockchain and decentralized finance (DeFi) refers to the practice of exploiting advance knowledge of pending transactions in the mempool to place one’s own transactions ahead of them, profiting from the anticipated price impact. A front-runner – typically an automated bot – monitors the public mempool for large or impactful pending transactions, then submits a competing transaction with a higher gas fee to ensure it is processed first by miners or validators. The front-runner profits from the price movement that the original transaction causes, effectively extracting value from the unsuspecting user. Front-running is a subset of Maximal Extractable Value (MEV), a term used to describe the value that can be extracted by reordering, including, or excluding transactions within a block. In the traditional financial world, front-running is illegal – regulated under insider trading and market manipulation laws enforced by the SEC and other financial authorities. However, on permissionless blockchains, the transparent nature of the mempool makes all pending transactions visible to anyone, creating an inherently adversarial environment where transaction ordering becomes a competitive game. The most common variant of on-chain front-running is the sandwich attack, where a bot places one transaction immediately before a victim’s trade and another immediately after. The first transaction pushes the price in the direction the victim’s trade will move it, and the second captures the profit by trading in the opposite direction after the victim’s transaction executes at a worse price. Multiple MEV tracking platforms have documented hundreds of millions of dollars in extraction from front-running and sandwich attacks on Ethereum alone over the past several years, with figures varying meaningfully depending on the measurement window, methodology, and which MEV categories are counted. Beyond sandwich attacks, generalized front-running bots monitor for any profitable opportunity – liquidation calls, arbitrage, NFT mints, and governance votes – and compete fiercely to capture these opportunities. This competition, known as Priority Gas Auctions (PGAs), has historically caused significant network congestion and gas price spikes on Ethereum, degrading the experience for all users. Origin & History 2014-2015: Academic groundwork for what would become MEV theory begins to take shape, including work by researchers such as Ari Juels exploring incentive design in smart-contract-based consensus systems and how miners could exploit transaction ordering for profit. 2017: As the ICO boom drove massive transaction volumes on Ethereum, front-running became practically observable. Traders competing for token sale allocations began outbidding each other on gas fees, creating the first widely-noticed Priority Gas Auctions. 2019: Phil Daian, Steven Goldfeder, Tyler Kell, and others published the landmark paper “Flash Boys 2.0: Frontrunning, Transaction Reordering, and Consensus Instability in Decentralized Exchanges,” which formally defined and measured the front-running problem on Ethereum. The paper coined the term “Miner Extractable Value” (MEV) and demonstrated that bots were already extracting significant value through front-running on decentralized exchanges like Uniswap and Bancor. 2020: The DeFi Summer explosion dramatically increased front-running activity. Sandwich attacks on Uniswap and SushiSwap became routine, with bots extracting value from major token swaps. The term MEV entered mainstream crypto vocabulary. In July, a research collective that would become Flashbots began forming, formalizing as the Flashbots organization that November alongside the open-sourcing of MEV-Geth, an alternative Ethereum client that created a private channel between searchers and miners, aimed at reducing on-chain gas wars. 2021: Flashbots released “Flashbots Alpha” in January, introducing the Flashbots Relay as a public product. By spring, mining pools representing more than 80% of Ethereum’s hashrate had adopted the system. Flashbots also released Flashbots Protect in October, giving individual users a way to submit transactions privately, and published a public MEV dashboard tracking extraction in near real time. 2022: Ethereum’s transition to Proof-of-Stake (the Merge, September 2022) changed the MEV market. Miners were replaced by validators, and terminology shifted from “Miner Extractable Value” to “Maximal Extractable Value.” Flashbots had published its MEV-Boost design in late 2021 in anticipation of the Merge; MEV-Boost – middleware allowing validators to outsource block building to specialized builders through proposer-builder separation (PBS) – became widely adopted following the transition. 2023-2024: Private mempools, order flow auctions, and intent-based trading systems emerged as solutions to front-running. Protocols like Flashbots Protect, MEV Blocker, and CoW Protocol offered users direct protection against sandwich attacks. Ethereum core developers began discussing enshrining proposer-builder separation into the protocol itself (ePBS). In Simple Terms Imagine you are standing in line at a store and you loudly announce you are about to buy the last 100 units of a popular item. Someone who hears you runs ahead in line, buys all the units first, then immediately resells them to you at a higher price. That person just front-ran you – they used your publicly stated intention to profit at your expense. Think of a stock exchange where every order is announced before it is executed. A trader with faster computers sees your buy order, purchases the stock before you, and then sells it to you at a markup. In traditional markets this is illegal, but on public blockchains, the mempool is like an open order book that anyone can read and exploit. Consider a highway where toll booths let the highest bidders pass first. If someone sees you heading to a popular store, they can pay a higher toll, arrive before you, buy everything, and sell it back to you at inflated prices. The “toll” is the gas fee, and the highway is the Ethereum network. Picture an auction where all bids are whispered publicly before the hammer falls. A savvy bidder hears your whisper, places a slightly higher bid just before yours, then sells the item back to you at a profit. In DeFi, your “whisper” is your pending transaction sitting in the mempool. It is like playing poker with your cards face up. Every other player can see your hand and bet accordingly. The mempool exposes your transactions, and front-running bots are the card sharks who exploit that transparency. Important: Front-running affects virtually every DeFi user, not just large traders. Even modest token

    CBDC (Central Bank Digital Currency)

    A Central Bank Digital Currency (CBDC) is a digital form of a nation’s sovereign currency that is issued, regulated, and backed by the country’s central bank. Unlike cryptocurrencies such as Bitcoin or Ethereum, which are decentralized and operate without central authority, CBDCs are fully centralized digital currencies that carry the same legal tender status as physical banknotes and coins. They represent one government response to the rise of digital payments and cryptocurrency adoption. CBDCs come in two primary forms: retail CBDCs, designed for everyday consumer transactions and accessible to the general public, and wholesale CBDCs, designed for interbank settlements and financial institution operations. The distinction is significant – retail CBDCs would fundamentally change how citizens interact with money, while wholesale CBDCs primarily improve existing financial plumbing between banks. As of 2026, over 130 countries representing the large majority of global GDP are exploring CBDCs in some form, according to the Atlantic Council’s CBDC tracker. China’s digital yuan (e-CNY) remains the most advanced major-economy CBDC, with over 260 million wallets created (as of 2022) and cumulative transactions exceeding 7 trillion yuan by mid-2024. The European Central Bank continues developing the digital euro, with a possible pilot in 2027 and potential first issuance in 2029 contingent on EU legislation passing in 2026. The Bank of England has researched a digital pound. In the United States, however, the trajectory has shifted sharply: the federal government moved from researching a potential digital dollar to actively banning CBDC development at the executive and, likely soon, statutory level (see Origin & History below). Origin & History 2014: The Bank of England begins exploring central bank digital currency concepts, part of a broader wave of central bank research into digital money that would formalize into published papers over the following year. 2014: China’s People’s Bank of China (PBOC) begins research on a digital yuan. 2016: The Bank of Canada launches Project Jasper, one of the first wholesale CBDC experiments. 2017: Sweden’s Riksbank begins the e-krona project, motivated by the country’s rapidly declining cash usage. 2019: Facebook announces Libra (later Diem), a global stablecoin project that alarms central banks and accelerates CBDC research worldwide. 2020: China launches e-CNY pilot programs in Shenzhen, Suzhou, Chengdu, and Xiong’an, distributing digital yuan through red envelope lottery events. 2020: The Bahamas launches the Sand Dollar, becoming the first country to officially deploy a retail CBDC. 2021: Nigeria launches the eNaira, becoming the first African country with a live CBDC. 2021: The ECB launches a two-year digital euro investigation phase. 2022: Jamaica launches JAM-DEX, its CBDC, with nationwide availability. China’s e-CNY surpasses 260 million wallets. 2023: The ECB moves to a preparation phase for the digital euro (running November 2023 to October 2025). India’s Digital Rupee (e₹) pilot expands to roughly 1 million users across 26 banks. 2024: Over 60 countries are in advanced CBDC stages (development, pilot, or launch). U.S. political opposition to CBDC intensifies, with several states passing anti-CBDC legislation and CBDC becoming a prominent issue in the 2024 election cycle. 2025: On January 23, President Trump signs an executive order titled “Strengthening American Leadership in Digital Financial Technology,” which prohibits federal agencies from establishing, issuing, promoting, or continuing any work toward a CBDC in the U.S. or abroad, and revokes the prior administration’s 2022 digital-assets executive order. In July, the House of Representatives passes the Anti-CBDC Surveillance State Act 219-210, which would codify the ban into permanent statute and bar the Federal Reserve from issuing a CBDC directly or indirectly. Congress separately passes the GENIUS Act, establishing a federal regulatory framework for private-sector stablecoins – effectively positioning regulated stablecoins, not a CBDC, as the U.S. government’s preferred digital-dollar path. 2025 (October): The ECB closes the digital euro preparation phase and moves to a technical-readiness phase, stating that a pilot could begin in 2027 and the Eurosystem could be ready for potential first issuance in 2029, contingent on EU co-legislators adopting the digital euro regulation during 2026. 2026: The U.S. Senate passes a statutory ban on Federal Reserve CBDC issuance (85-5) through December 31, 2030, attached to unrelated must-pass legislation, aiming to make the CBDC prohibition durable across future administrations. The Federal Reserve is not pursuing a retail CBDC in any case; Fed and Treasury officials have both publicly stated a U.S. digital dollar is effectively off the table for the foreseeable future. Meanwhile, the ECB continues advancing digital euro technical standards, targeting a summer 2026 announcement, with European Parliament votes on the underlying regulation expected around mid-2026. In Simple Terms Think of a CBDC as a digital version of the cash in your wallet. Just as physical currency is issued by the government, a CBDC would be a government-issued digital currency that lives on your phone instead of in your pocket. It’s like having a bank account directly with the central bank. Instead of trusting a commercial bank (Chase, HSBC) to hold your money, a CBDC lets you hold government-issued digital money directly – cutting out the middleman. Imagine if a payment app like Venmo or PayPal were run by the government. A CBDC payment app would work similarly to existing payment apps, but the money wouldn’t be a commercial bank deposit – it would be actual government currency in digital form. It’s the difference between a government bond and a corporate bond. Just as government bonds carry the full faith of the sovereign, a CBDC carries the full backing of the central bank, while commercial bank deposits carry a small counterparty risk. Think of it as upgrading from physical postage stamps to email. CBDCs aim to modernize money the way email modernized communication – making transfers instant, programmable, and available 24/7, at least in principle. Important: CBDCs are NOT cryptocurrencies. They are centralized, government-controlled digital currencies that lack the privacy, decentralization, and censorship resistance that define Bitcoin and other cryptocurrencies. CBDCs would give central banks significant visibility into money flows, which is the core reason they’ve drawn privacy and civil-liberties objections, including in the United States, where this

    Liquid staking

    Liquid staking is a decentralized finance mechanism that allows cryptocurrency holders to stake their tokens to secure a proof-of-stake (PoS) blockchain network while simultaneously receiving a liquid derivative token – known as a Liquid Staking Token (LST) – that represents their staked position plus accruing rewards. This derivative token can be freely traded, transferred, used as collateral in DeFi lending protocols, or deployed in yield farming strategies, effectively eliminating the traditional trade-off between earning staking rewards and maintaining asset liquidity. In traditional staking, token holders lock their assets in a validator or staking contract for a fixed period, during which the tokens are illiquid – they cannot be sold, transferred, or used in other protocols. This creates an opportunity cost: while stakers earn rewards (typically 3-8% APY depending on the network), they forgo the ability to deploy those assets in potentially higher-yielding DeFi strategies. Liquid staking solves this fundamental tension by issuing a receipt token that tracks the value of the staked asset plus accumulated rewards, allowing holders to participate in staking and DeFi simultaneously. Lido Finance has been the largest liquid staking protocol by total value locked since shortly after its 2020 launch, issuing stETH (staked ETH). Its share of all staked ETH has fluctuated over time – it peaked at roughly 30-33% around 2023 and has since compressed into the low-to-mid 20% range as institutional and exchange-based staking providers have expanded their share. Other major providers include Rocket Pool (issuing rETH), Coinbase (issuing cbETH), Frax Finance (issuing frxETH/sfrxETH), and Jito (issuing JitoSOL for Solana staking). Together, these protocols have made liquid staking one of the largest DeFi categories by TVL. Liquid staking tokens follow two primary models: rebasing tokens (like Lido’s stETH), where the token balance in a holder’s wallet automatically increases daily to reflect earned rewards, and reward-bearing tokens (like Rocket Pool’s rETH), where the token’s exchange rate against the underlying asset appreciates over time while the token balance remains constant. Both models achieve the same economic outcome – staking rewards accrual – but through different mechanisms that have distinct implications for tax reporting, DeFi composability, and user experience. The emergence of liquid staking has also catalyzed the development of restaking, pioneered by EigenLayer, where liquid staking tokens themselves can be staked again to secure additional networks and protocols, compounding yield while extending the security guarantees of Ethereum’s validator set to a broader ecosystem of services. Origin & History 2020: The concept of liquid staking began crystallizing as Ethereum 2.0’s Beacon Chain launched in December 2020, introducing ETH staking with a minimum requirement of 32 ETH and no withdrawal timeline. The locked nature of staked ETH – with withdrawals not scheduled until the Shanghai upgrade years later – created intense demand for a liquid alternative. Lido Finance launched in December 2020, enabling users to stake any amount of ETH and receive stETH in return. 2021: Lido’s stETH rapidly gained adoption, becoming one of the most widely held DeFi tokens. The Curve Finance stETH/ETH pool became one of the largest liquidity pools in DeFi, enabling stETH holders to exit their staked position by trading rather than waiting for on-chain withdrawals. Rocket Pool launched its mainnet in November 2021, introducing a decentralized alternative to Lido with permissionless node operators and a minimum of 16 ETH (later reduced to 8 ETH) to run a minipool validator. Total ETH staked through liquid staking protocols grew rapidly through the year, with Lido’s TVL alone reaching roughly $15 billion at its late-2021 peak. 2022: The Terra/Luna collapse in May 2022 temporarily destabilized stETH’s peg to ETH, as distressed sellers (notably Three Arrows Capital and Celsius) removed large amounts of liquidity from the Curve stETH/ETH pool and sold stETH on secondary markets. The stETH/ETH exchange rate dropped to roughly 0.93-0.95 at its worst point, causing panic but ultimately recovering as it was not an algorithmic peg but rather a market-priced derivative of genuinely staked ETH. This stress test demonstrated both the risks and resilience of liquid staking tokens. Coinbase launched cbETH, and Frax Finance introduced frxETH, further diversifying the liquid staking market. 2023: Ethereum’s Shanghai/Capella upgrade in April 2023 finally enabled staked ETH withdrawals, a watershed moment for liquid staking. Paradoxically, rather than reducing demand for liquid staking (since native staking became more flexible), the upgrade increased confidence in LSTs by removing the risk of indefinite lock-up. Jito launched JitoSOL on Solana, bringing liquid staking to a major PoS ecosystem outside Ethereum with the added feature of MEV (Maximal Extractable Value) reward sharing. 2023-2024: EigenLayer introduced the concept of restaking, allowing stETH and other LSTs to be deposited into EigenLayer contracts to secure additional Actively Validated Services (AVSs). This created a new yield layer on top of liquid staking, with LST holders earning both Ethereum staking rewards and additional restaking rewards. Liquid Restaking Tokens (LRTs) like eETH (from ether.fi), ezETH (from Renzo), and pufETH (from Puffer Finance) emerged as a new asset class. 2024-2026: Liquid staking matured into a major staking method for Ethereum. Regulatory scrutiny around whether LSTs constitute securities continued, though the SEC has since indicated that certain liquid staking models may not constitute securities transactions. Lido’s market share compressed from its earlier peak as institutional custodians, exchanges (Binance), and large holders (such as BitMine and Grayscale) expanded their own staking activity. Multi-chain liquid staking expanded significantly, with protocols launching on Cosmos (Stride), Celestia, Sui, and other PoS networks. By mid-2026, total staked ETH across the network approached roughly a third of circulating supply. In Simple Terms Imagine putting money into a savings account that normally locks your funds for a year. Now imagine the bank gives you a special certificate worth the exact same amount as your deposit, plus it automatically gains interest. You can spend, sell, or use that certificate as collateral for a loan – all while your original deposit continues earning interest in the savings account. That certificate is essentially what a liquid staking token is. Think of it like renting out your apartment on a long-term

    Soft Fork

    A soft fork is a backward-compatible upgrade to a blockchain protocol’s consensus rules in which the set of valid blocks under the new rules is a strict subset of the blocks that were valid under the old rules. In practical terms, this means that nodes running the old software will still accept blocks produced by upgraded nodes, because the new blocks conform to the old rules – they are simply more restrictive. Unlike a hard fork, which creates entirely new types of blocks that old nodes would reject (potentially splitting the chain), a soft fork achieves protocol evolution without requiring every participant to upgrade simultaneously. The backward compatibility of soft forks is their defining characteristic and their primary advantage. When a soft fork activates, upgraded miners or validators begin enforcing the new, stricter rules. Non-upgraded nodes see these blocks as valid because the blocks still comply with the original, looser rules. However, if a non-upgraded miner produces a block that violates the new rules (but conforms to the old ones), upgraded nodes will reject it. This creates an asymmetry: upgraded nodes enforce a stricter rule set, while non-upgraded nodes are “fooled” into accepting the stricter blocks because they don’t violate the old rules. As long as a majority of mining power (or staking power, in proof-of-stake systems) enforces the new rules, the chain will converge on the upgraded rule set without splitting. Soft forks have been the preferred mechanism for Bitcoin protocol upgrades since the network’s early years. Major Bitcoin improvements including Pay-to-Script-Hash (P2SH), Segregated Witness (SegWit), and Taproot were all implemented as soft forks. This approach reflects a conservative philosophy in Bitcoin’s development culture: changes should be minimally disruptive, backward-compatible, and achievable without forcing the entire network to upgrade in lockstep. The trade-off is that soft forks are more constrained in what changes they can introduce – they can tighten rules or add new transaction types that old nodes interpret as “anyone-can-spend” outputs, but they cannot relax existing rules or fundamentally alter the block structure. The mechanics of how a soft fork maintains backward compatibility often involve clever technical tricks. For example, SegWit introduced an entirely new transaction format with a witness data structure, but old nodes simply saw SegWit transactions as spending from addresses that “anyone can spend” – valid under old rules, but with new meaning under the upgraded rules. This pattern of encoding new semantics within existing rule frameworks is a hallmark of soft fork engineering, requiring significant ingenuity to implement complex changes within backward-compatible constraints. Origin & History 2010: The earliest de facto soft fork in Bitcoin occurred when Satoshi Nakamoto introduced several rule-tightening changes to the Bitcoin codebase, including the addition of the OP_NOP opcodes and the 1MB block size limit. These changes made previously valid behaviors invalid, effectively constituting soft forks, though the term was not yet in use. 2012: BIP 16 introduced Pay-to-Script-Hash (P2SH), one of the first formally recognized soft fork upgrades to Bitcoin. Proposed by Gavin Andresen, P2SH enabled more complex transaction scripts while maintaining backward compatibility by encoding the hash of a script in a standard-looking address. This upgrade activated on April 1, 2012, and established many of the precedents for how Bitcoin soft forks would be coordinated. 2015: BIP 65 (OP_CHECKLOCKTIMEVERIFY) and BIP 66 (strict DER signature encoding) were activated as soft forks, introducing time-locked transactions and stricter signature validation. These upgrades used “IsSuperMajority” miner signaling – requiring 950 of the last 1,000 blocks to signal support before activation. 2016: The Bitcoin community began the multi-year debate around scaling that would define the relationship between soft forks and hard forks. The SegWit proposal (BIP 141) was introduced as a soft fork solution to transaction malleability and a modest capacity increase, while opposing factions advocated for a hard fork to increase the block size limit directly. This debate crystallized the philosophical distinction between soft and hard forks in cryptocurrency culture. 2017: Segregated Witness (SegWit), the most significant soft fork in Bitcoin’s history at the time, locked in on August 8, 2017, after 100% of miners in a signaling period reached the 95% threshold, and activated on August 24, 2017, at block height 481,824. SegWit separated signature data from transaction data, fixing transaction malleability, enabling the Lightning Network, and increasing effective block capacity. Its activation was catalyzed by the User Activated Soft Fork (UASF) movement, where node operators threatened to enforce SegWit regardless of miner signaling. 2021: Taproot, Bitcoin’s next major soft fork, locked in on June 12, 2021, at block 687,284 after reaching a 90% miner signaling threshold, and activated on November 14, 2021, at block height 709,632. First proposed by Greg Maxwell and formalized through BIPs written by Pieter Wuille, Tim Ruffing, AJ Townes, and Jonas Nick, Taproot introduced Schnorr signatures and Merkelized Alternative Script Trees (MAST), significantly improving Bitcoin’s privacy, efficiency, and smart contract capabilities. Taproot used the Speedy Trial activation mechanism (a variant of BIP 8), achieving the required 90% miner signaling threshold within a single signaling window. 2023–2026: The Bitcoin community engaged in vigorous debate over potential future soft forks, including proposals for OP_VAULT (BIP 345) for enhanced custody security, OP_CAT (BIP 347) for covenant functionality, and CTV (OP_CHECKTEMPLATEVERIFY, BIP 119) for transaction templating. These proposals highlighted the ongoing tension between Bitcoin’s conservative upgrade philosophy and the desire for enhanced functionality. In Simple Terms The Building Code Update analogy: Imagine a city updates its building code to require stronger foundations for new buildings. All existing buildings are still legal – they were built under the old code. But any new building must meet the stricter standard. A soft fork works the same way: it tightens the rules going forward while keeping everything built under the old rules valid. The Speed Limit Reduction analogy: Think of a highway where the speed limit drops from 70 mph to 55 mph. Cars already on the road going 55 mph or slower are fine under both the old and new rules. But someone going 65 mph would be

    Merkle Tree

    A Merkle tree, also known as a hash tree, is a hierarchical data structure in which every leaf node contains the cryptographic hash of a data block, and every non-leaf (parent) node contains the cryptographic hash of the concatenation of its child nodes’ hashes. This binary tree structure allows large datasets to be verified for integrity and consistency with extraordinary efficiency – instead of checking every individual piece of data, a verifier only needs to examine a small number of hashes along a single branch from a leaf to the root. The single hash sitting at the top of the tree, called the Merkle root, serves as a unique fingerprint for the entire dataset beneath it. If even a single bit of data anywhere in the tree is altered, the change cascades upward through every parent hash until the Merkle root itself changes, instantly signaling that the data has been tampered with. In blockchain technology, Merkle trees are foundational to how blocks store and validate transactions. Every block header in Bitcoin, Ethereum, and virtually all other blockchain protocols contains a Merkle root that summarizes all transactions included in that block. This design enables lightweight clients – often called Simplified Payment Verification (SPV) nodes – to confirm that a specific transaction is included in a block without downloading the entire block’s contents. The client only needs the block header (which contains the Merkle root) and a short sequence of sibling hashes called a Merkle proof or Merkle path. For a block containing 4,096 transactions, this proof requires only 12 hashes rather than all 4,096 transaction hashes – a logarithmic reduction that makes mobile wallets and resource-constrained devices viable participants in the network. Beyond simple transaction inclusion, Merkle trees underpin some of the most advanced constructions in the cryptocurrency ecosystem. Ethereum uses a modified version called the Merkle Patricia Trie to store its entire world state – every account balance, smart contract storage slot, and piece of code. Zero-knowledge rollups use Merkle trees to commit batches of off-chain transactions into a single on-chain root. Airdrop distribution contracts use Merkle trees to let thousands of addresses claim tokens with minimal on-chain data. The structure’s elegance lies in its simplicity: a recursive application of hashing that converts an arbitrarily large dataset into a single fixed-size commitment, verifiable in logarithmic time. Origin & History 1979: Ralph Merkle first described hash trees in his Stanford Ph.D. thesis and subsequently patented the concept (U.S. Patent 4,309,569, filed September 5, 1979, and granted January 5, 1982). Merkle developed the structure as part of his pioneering work on public-key cryptography and digital signatures, seeking an efficient method for authenticating large data structures. 1987–1988: Merkle combined his hash tree structure with one-time signature schemes, building on the earlier Lamport-Diffie one-time signature construction, in a paper presented at CRYPTO ’87 and published in the conference proceedings in 1988. This combination, now generally known as the Merkle signature scheme, demonstrated that a single hash tree could authenticate many one-time key pairs under one public key, efficiently managing large numbers of cryptographic keys. Late 1990s: As peer-to-peer file sharing systems emerged, hash tree structures were applied to let nodes verify the integrity of downloaded file segments independently, detecting corrupted or malicious data without re-downloading entire files. This pattern was later formalized in specifications such as the Tree Hash Exchange (THEX) format. 2008: Satoshi Nakamoto integrated Merkle trees into the Bitcoin protocol design. Section 7 of the Bitcoin whitepaper, “Reclaiming Disk Space,” describes how Merkle trees allow old transaction data to be pruned while retaining a compact root hash. Section 8, “Simplified Payment Verification,” separately explains how the same structure lets lightweight clients confirm a transaction is included in a block using only the block header and a Merkle proof. 2009: The Bitcoin network launched with Merkle roots embedded in every block header. The genesis block (Block 0) contained a single transaction with a Merkle root equal to that transaction’s hash, establishing the pattern for all subsequent blocks. 2015: Ethereum launched with three distinct Merkle tree variants in each block header – a transaction trie, a receipt trie, and a state trie – all implemented as Merkle Patricia Tries. This design extended Merkle tree functionality from simple transaction verification to full world-state authentication. 2017–2019: Merkle trees became central to the design of layer-2 scaling solutions. Plasma chains used Merkle commitments to anchor child-chain state to the Ethereum mainnet, while early rollup designs used Merkle roots to batch hundreds of transactions into a single on-chain proof. 2020–2024: Zero-knowledge proof systems like zkSync and StarkNet adopted specialized Merkle tree variants – including Poseidon-hash-based sparse Merkle trees – optimized for efficient computation inside ZK circuits. Merkle airdrop contracts became the standard pattern for token distributions on Ethereum. In Simple Terms Imagine a sports tournament bracket. Every game in the first round produces a winner. Those winners are paired up for the second round, and so on, until a single champion remains at the top. A Merkle tree works the same way – except instead of sports teams, you start with data blocks, and instead of playing games, you combine pairs of data using cryptographic hashing until you get a single “champion hash” at the top called the Merkle root. Think of it like a family tree in reverse. At the bottom are hundreds of individual family members (data blocks). Each pair of siblings is combined to represent their parents. Those parents combine to form grandparents, and so on, until you reach a single ancestor at the top. If any family member changes, every generation above them changes too, all the way up to the ancestor at the top. Picture a library catalog system. Instead of checking every book on every shelf to confirm nothing is missing, the librarian keeps a summary of each shelf, combines shelf summaries into aisle summaries, combines aisle summaries into floor summaries, and keeps one master summary for the whole library. To verify a single book exists, you only need to check

    What Is a Vault Strategy?

    Understand the concept of Velocity of Money in crypto terminology, which measures the rate at which currency is circulated within an economy.

    Altcoin

    An altcoin (alternative coin) is any cryptocurrency other than Bitcoin. The term encompasses the entire universe of digital currencies and tokens that emerged after Bitcoin’s creation in 2009, ranging from major blockchain platforms like Ethereum and Solana to memecoins, stablecoins, governance tokens, utility tokens, and thousands of smaller projects. As of 2026, there are over 20,000 altcoins traded on various exchanges, collectively representing approximately 40–55% of the total cryptocurrency market capitalization. The altcoin market can be broadly categorized into several major groups. Platform altcoins like Ethereum (ETH), Solana (SOL), Cardano (ADA), and Avalanche (AVAX) provide smart contract functionality and serve as foundations for decentralized applications. Stablecoins like USDT, USDC, and DAI maintain price parity with fiat currencies and serve as the primary trading and settlement medium in crypto markets. DeFi tokens like UNI, AAVE, and MKR represent governance rights over decentralized financial protocols. Memecoins like DOGE, SHIB, and PEPE are community-driven tokens whose value derives primarily from social momentum and cultural significance rather than technical utility. The relationship between Bitcoin and altcoins defines much of crypto market dynamics. The “Bitcoin dominance” metric (Bitcoin’s share of total crypto market cap) serves as a gauge for market sentiment: rising dominance typically indicates a risk-off environment where capital flows from altcoins to Bitcoin, while falling dominance signals an “altcoin season” where smaller cryptocurrencies outperform Bitcoin. This cycle has repeated through every major crypto market cycle, with altcoin seasons typically occurring during the latter phases of bull markets when speculative appetite is highest. Altcoins serve as the primary vehicle for blockchain innovation. While Bitcoin focuses on being a secure, decentralized store of value and payment network, altcoins experiment with new consensus mechanisms (proof-of-stake, delegated PoS, directed acyclic graphs), programmability models (smart contracts, Move VM, Cairo), scalability solutions (rollups, sharding, parallel execution), privacy features (zero-knowledge proofs, ring signatures), and economic designs (algorithmic stablecoins, liquid staking, restaking). This experimentation makes the altcoin ecosystem both the most innovative and most volatile segment of the cryptocurrency market. Origin & History 2011: Namecoin launched in April 2011 as the first altcoin, using Bitcoin’s codebase to create a decentralized domain name system. Litecoin followed in October 2011, positioning itself as “silver to Bitcoin’s gold” with faster block times and a different hashing algorithm (Scrypt vs. SHA-256). 2012: Peercoin launched in August 2012, introducing a hybrid proof-of-work and proof-of-stake consensus mechanism, an early precursor to modern staking systems. The XRP Ledger launched in June 2012, created by David Schwartz, Jed McCaleb, and Arthur Britto, with the company that would become Ripple Labs founded shortly after in September 2012. 2013: Dozens of novel cryptocurrencies launched, including Dogecoin (DOGE). Dogecoin, created as a joke based on the Shiba Inu meme by Billy Markus and Jackson Palmer, foreshadowed the memecoin phenomenon that would explode years later. 2015: Ethereum launched, introducing smart contracts and fundamentally expanding what altcoins could do. Ethereum became the first platform altcoin, enabling other projects to launch tokens on its network rather than building their own blockchains. 2017: The ICO (Initial Coin Offering) boom produced thousands of new altcoins, many built as ERC-20 tokens on Ethereum. Total altcoin market cap exceeded $500 billion. Major launches included EOS, Cardano, and Polkadot. 2020–2021: The DeFi and NFT booms drove a massive altcoin season. Ethereum’s ecosystem produced governance tokens (UNI, AAVE, COMP), Layer 2 scaling solutions, and NFT collections. Solana, Avalanche, and Terra emerged as major “Ethereum killers.” Memecoins like SHIB and DOGE saw parabolic price increases. 2022: The crypto crash and Terra/LUNA collapse destroyed hundreds of billions in altcoin value. Many 2021-era altcoins lost 90–99% of their value, reinforcing the perception that most altcoins are high-risk speculative assets. 2023–2024: Recovery focused on infrastructure (L2 rollups, restaking, modular blockchains) and memecoins (PEPE, BONK, WIF). The Solana ecosystem experienced a major resurgence. Real-world asset (RWA) tokenization gained traction with institutional interest. 2026: Altcoin market matured with clearer categories: infrastructure (L1s, L2s), DeFi blue chips, stablecoins, memecoins, and RWA tokens. Bitcoin ETF approval and Ethereum ETF discussions shifted the regulatory market for major altcoins. In Simple Terms If Bitcoin is like digital gold, altcoins are everything else in the crypto economy — the stocks, bonds, currencies, memberships, and collectibles of the blockchain world. Just as the economy has more than just gold, the crypto market has thousands of different digital assets serving different purposes. Think of altcoins like apps on your smartphone. Bitcoin is like the original phone call — the foundational use case. Altcoins are all the apps built on top: some are essential tools (like Ethereum enabling smart contracts), some are entertainment (like memecoins), and some are experiments that don’t work out. The term “altcoin” is like saying “non-Apple phone” — it groups together everything from Samsung flagships to budget phones to experimental devices. Some altcoins are billion-dollar platforms; others are weekend projects with no real value. Altcoin seasons in crypto are like fashion seasons — certain styles (categories of altcoins) become popular, prices surge, and then the trend shifts. DeFi tokens were the fashion in 2020, NFTs in 2021, memecoins in 2023–2024. Important: The vast majority of altcoins (estimated 90%+) will eventually lose most or all of their value. Investing in altcoins carries significantly higher risk than Bitcoin or major stablecoins. Always research a project’s technology, team, tokenomics, and competitive position before investing, and never invest more than you can afford to lose. Key Technical Features Token Standards Altcoin Categories How Altcoin Valuation Works Bitcoin Dominance and Altcoin Cycles Advantages & Disadvantages Advantages Disadvantages Innovation: Altcoins drive blockchain innovation — smart contracts, DeFi, NFTs, rollups, and privacy features all emerged from altcoin projects Higher Volatility: Most altcoins are 2–5x more volatile than Bitcoin, with 70–95% drawdowns common during bear markets Specialization: Different altcoins serve different purposes (payments, DeFi, gaming, privacy), providing solutions Bitcoin’s design doesn’t support Failure Rate: An estimated 90%+ of altcoins eventually lose most of their value; many projects abandon development or are outright scams Higher Return Potential: Successful altcoins have produced 10–1000x returns, far exceeding Bitcoin’s returns in the

    Rug Pull

    A rug pull is a type of cryptocurrency scam in which the developers of a project deliberately abandon it after attracting significant investment, taking investors’ funds with them. The term comes from the idiom “pulling the rug out from under someone” — removing the foundation and causing a sudden, devastating collapse. Rug pulls are one of the most common and damaging scams in the crypto ecosystem, particularly prevalent in the DeFi and memecoin spaces where anyone can create and list a token without oversight. There are several types of rug pulls. Liquidity pulls occur when developers create a token, set up a DEX liquidity pool, wait for investors to buy (adding value to the pool), and then remove all the liquidity — making the token untradeable and worthless. Selling pressure rugs happen when the team holds a massive percentage of the token supply and gradually or suddenly dumps it on the market. Hard rugs involve malicious smart contract code with hidden functions that allow developers to drain the contract (backdoor functions, hidden minting capabilities, or whitelist-only selling). As of 2026, rug pulls have collectively stolen billions of dollars from crypto investors. Chainalysis estimated that rug pulls accounted for over $2.8 billion in crypto scam revenue in 2021 alone. While major DeFi protocols on established chains are generally safe, the permissionless nature of token creation means new rug pulls launch daily — especially on newer chains, in memecoin markets, and around trending narratives where FOMO overrides due diligence. Origin & History 2017–2018: ICO-era “exit scams” are the precursor to rug pulls. Projects raise funds through token sales and disappear. The mechanism differs (ICO vs. DEX liquidity) but the concept is the same. 2020 (August–October): The term “rug pull” gains widespread usage during DeFi Summer. As hundreds of new DeFi protocols launch on Ethereum, many turn out to be scams that drain funds from liquidity pools. 2020 (September): SushiSwap’s “Chef Nomi” incident — the pseudonymous creator converts approximately $13–14 million of the developer fund to ETH, causing panic. While not a true rug pull (funds were eventually returned), it popularized awareness of developer fund risks and the concept of exit scams in DeFi. 2021 (March): Meerkat Finance (on Binance Smart Chain) suffers a $31 million rug pull on March 4, 2021 — just one day after launching — one of the first major DeFi rug pulls on BSC. The developers initially claimed it was an external hack before deleting their accounts. 2021: Rug pulls explode across BNB Chain (BSC), where low gas fees make it cheap to deploy scam tokens. Token names capitalize on trends: “SafeMoon” clones, “Elon” tokens, “Moon” tokens. 2021 (October): AnubisDAO raises approximately $60 million in ETH and the funds are drained approximately 20 hours after launch — one of the largest and fastest single rug pulls in DeFi history. 2021 (November): Squid Game Token surges over 40,000% on the hype of the Netflix show, then crashes to near zero when developers drain the liquidity pool. Investors could not sell due to a hidden anti-sell mechanism coded into the contract. Developers made off with approximately $3.3 million. 2022 (January): NFT rug pulls become prominent. Frosties NFT sells out 8,888 NFTs, raising approximately $1.1 million, and the developers immediately disappear without delivering any roadmap promises. In March 2022, the US Department of Justice arrests Ethan Nguyen and Andre Llacuna — marking the first federal prosecution of an NFT rug pull. Baller Ape Club and others follow similar patterns. 2023–2024: Memecoin rug pulls dominate. The ease of launching tokens on Solana (via Pump.fun and similar platforms) enables thousands of micro-rug pulls targeting the memecoin trading community. 2026: Rug pull detection tools mature (Token Sniffer, GoPlus, De.Fi). Community awareness increases, but rug pulls persist as crypto’s most common scam type. In Simple Terms The disappearing store: Imagine a store opens in your town selling amazing products at incredible prices. People rush to buy. Then one morning, the store is empty — the owners took all the money and vanished. That’s a rug pull: an attractive investment opportunity that was designed to steal your money from the start. The pool drain: Picture a swimming pool (liquidity pool) that everyone contributes water (money) to. The pool gets bigger and bigger as people add water. Then the pool owner opens a hidden drain at the bottom and all the water disappears. Investors are left with an empty pool. The magic show where you’re the volunteer: A rug pull is like a magic show where the magician asks for your wallet to demonstrate a trick, and then “magically” disappears with it. The trick was always about taking your money — the show was just the distraction. The crypto version of “take the money and run”: Developers create something that looks legitimate, generate excitement and investment, and then disappear with the funds. It’s the oldest scam in the book, just using blockchain technology as the medium. Important: If a new token promises unrealistic returns, has anonymous developers, locks no liquidity, and is being hyped aggressively on social media — it’s likely a rug pull. Always research before investing: check the contract code, verify team identities, ensure liquidity is locked, and never invest more than you can afford to lose. Key Technical Features Liquidity Pool Rug Pull Malicious Smart Contract Code Slow Rug (Soft Rug) NFT Rug Pulls Advantages & Disadvantages Advantages Disadvantages None — rug pulls are scams with no legitimate advantage Financial loss: Investors lose their entire investment Trust erosion: Rug pulls damage the broader crypto industry’s reputation Emotional harm: Victims experience stress, shame, and loss of trust Legal complications: Perpetrators are often anonymous, making recovery nearly impossible Market impact: High-profile rug pulls cause broader market sell-offs Barrier to adoption: Scam prevalence discourages newcomers from entering crypto Risk Management Red Flags to Watch For Due Diligence Checklist If You Suspect a Rug Pull Cultural Relevance “Rug pull” has become one of the most recognized terms in crypto culture, used both literally (actual scams) and colloquially