Crypto Trading and Exchanges Flashcards

A trader notices that the bid-ask spread on a decentralized exchange (DEX) using an automated market maker (AMM) widens dramatically for a token with low liquidity. Which mechanism is primarily responsible for this behavior?

Answer: The constant product formula (x * y = k) causes price impact to increase non-linearly as trade size grows relative to pool reserves

AMMs like Uniswap use the constant product formula (x * y = k), meaning the price moves along a hyperbolic curve. When pool reserves are small relative to the trade size, even modest trades cause significant price displacement, effectively widening the spread. This is a mathematical property of the AMM model, not a manual or bot-driven process.

During a period of extreme market volatility, a centralized exchange implements 'socialized loss' mechanisms after a large leveraged position is liquidated but leaves a negative balance. What does this mean for other traders on the platform?

Answer: Profitable traders on the opposite side of the market have a portion of their gains clawed back proportionally to cover the shortfall

Socialized loss (also called 'clawbacks') is a mechanism used by some derivatives exchanges when the insurance fund is exhausted after a liquidation deficit. The shortfall is distributed across all profitable traders on the opposite side, reducing their realized gains proportionally. This protects the exchange's solvency but penalizes winning traders for others' losses.

A sophisticated trader wants to exploit a triangular arbitrage opportunity across three trading pairs on the same exchange: BTC/USDT, ETH/BTC, and ETH/USDT. After executing all three legs, they find no profit despite the price discrepancy appearing on screen. Which factor most likely eliminated the arbitrage profit?

Answer: Trading fees compounding across all three legs consumed the spread between the implied and actual cross rate

Triangular arbitrage opportunities on centralized exchanges are typically very thin (fractions of a percent). When trading fees (e.g., 0.1% per leg) are applied across all three legs, the compounded fee burden (roughly 0.3% total) often equals or exceeds the apparent price discrepancy. Most visible 'arbitrage' spreads on a single exchange already fall within the fee band, making them unprofitable in practice.

A trader using a perpetual futures contract on a crypto exchange notices the funding rate has been consistently negative for 48 hours. What is the most accurate interpretation of this market condition?

Answer: Short position holders are paying longs periodically, indicating that short interest dominates and the perpetual price trades at a discount to spot

In perpetual futures, a negative funding rate means shorts pay longs. This occurs when the perpetual contract price trades below the spot index price — indicating bearish sentiment dominates, with more short positions open. The funding mechanism incentivizes traders to go long (by paying them) to bring the perpetual price back in line with spot. This is the inverse of contango; the market is in backwardation.

An exchange lists a new token and immediately experiences a 'wash trading' scheme where affiliated accounts trade the token back and forth artificially. Which on-chain metric, if analyzed correctly, would most reliably expose this manipulation compared to simply reviewing reported volume figures?

Answer: The ratio of unique active addresses to transaction count, combined with wallet clustering analysis revealing address reuse patterns

Wash trading is exposed by analyzing whether high transaction volumes come from a diverse set of independent wallets or from a small cluster of addresses trading repeatedly among themselves. A low ratio of unique active addresses to total transactions, combined with blockchain graph clustering showing the same wallets cycling funds, is a strong indicator of wash trading. Volume and price metrics alone can be fabricated without exposing the underlying address patterns.

A crypto exchange operating in multiple jurisdictions implements a tiered KYC system where Tier 1 users (email only) have a daily withdrawal limit of 1 BTC, and Tier 2 (government ID verified) have unlimited withdrawals. A regulatory auditor flags this structure as non-compliant under FATF Travel Rule requirements. Why?

Answer: The Travel Rule mandates that transfers above a threshold (typically $1,000 or $3,000 equivalent) must include originator and beneficiary information, which anonymous Tier 1 accounts cannot provide

The FATF Travel Rule (Recommendation 16) requires Virtual Asset Service Providers (VASPs) to collect and transmit originator and beneficiary information for transfers exceeding $1,000 USD (some jurisdictions use $3,000). Tier 1 accounts with only email verification cannot satisfy this requirement because the exchange cannot attach verified identity information to outgoing transfers, making the entire structure non-compliant for any transactions above the threshold — regardless of the withdrawal cap.