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Understand crypto before trading
1What is crypto trading? 2Blockchains, ledgers and consensus 3Bitcoin, Ethereum, coins and tokens 4Build a safe practice plan
Wallets and personal security
5Wallets, keys and custody 6Recovery phrases and backups 7Networks, addresses and transfers 8Phishing, approvals and scams
Understand the trading venue
9Centralized and decentralized venues 10Pairs, order books and spreads 11Spot orders and execution 12Fees, slippage and liquidity
Risk before returns
13Size a spot position 14Portfolio concentration and correlations 15Drawdown, R multiples and expectancy 16Stablecoins and counterparty risk
Read crypto market structure
17Candles and an around-the-clock market 18Trends, ranges and price levels 19Breakouts, volume and confirmation 20Indicators and volatility
Apply chart frameworks to crypto
21Dow-style structure: what would change your view? 22Wyckoff in spot crypto: read the range carefully 23Elliott counts: keep an alternative on the page 24Liquidity sweeps: separate the wick from the story 25FVG and OTE: transfer the rules, not the promises
Understand asset economics
26Supply, market cap and FDV 27Token unlocks and distribution 28Network activity and on-chain data 29Research a project critically
Understand derivatives before considering them
30Spot, futures and perpetual contracts 31Funding, basis and mark price 32Margin, leverage and liquidation 33Open interest and liquidation data
Derivatives through paper examples
34Linear perpetual P&L: calculate the money, not the excitement 35Collateral and liquidation: a deliberately simplified worksheet 36Funding carry: count what you keep 37Dated futures: follow both sides of the hedge 38Calls and puts: payoff is not profit
Explore DeFi with caution
39Smart contracts and applications 40AMM pools and price impact 41Liquidity provision and changing asset value 42Staking, lending and bridges
Understand ecosystem risks
43Constant-product AMMs: calculate the moving price 44LP divergence loss: choose the right comparison 45Reorgs, bridges and L2s: what is actually final? 46MEV and arbitrage: subtract the competition 47DEX approvals: inspect before you sign
Build and test market hypotheses
48Market context and catalysts 49Write a setup rulebook 50Profiles, order flow and SMC limits 51Backtest crypto data honestly
Research, allocation and review
52Token vesting: size the unlock, then ask why 53On-chain metrics: count activity, not stories 54Stablecoin depeg: map access, not just reserves 55Rebalancing: weights change even when you do nothing 56Advanced crypto capstone: defend the whole plan
Practice, review and stay informed
57Paper trade and keep a journal 58FOMO and decision routines 59Records, local rules and changing information 60Capstone: research and risk plan
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LP divergence loss: choose the right comparison

3 min read

Your pool balance rose, so how can you still have divergence loss?

Here is what we will figure out

Compare a simplified liquidity position with holding the original token amounts.

A liquidity provider's asset mix changes as traders swap. When one asset rises relative to the other, a constant-product pool ends with less of the rising asset and more of the other. Arbitrage helps align the pool ratio with outside prices.

Divergence loss, often called impermanent loss, measures underperformance against simply holding the original amounts. It does not necessarily mean the pool is worth less than the initial deposit.

Use an explicit benchmark and the same valuation currency. Our exercise assumes a full-range constant-product position, unchanged ownership share, no fees, and outside arbitrage reaching the final ratio. Concentrated-liquidity positions can behave differently.

Fees and incentives may compensate for some underperformance, but they are not guaranteed to do so. Smart-contract, token and price risks remain separate. The word impermanent does not guarantee recovery; withdrawing can crystallise the difference.

Let’s work through it

  1. Freeze the original token amounts as the benchmark.
  2. Revalue both the LP mix and the holding mix at the same prices.
  3. Compare values before adding fees and other risks.

Let’s use numbers · hypothetical example

Start with 2 X worth 50 Y each plus 100 Y: total 200 Y and k = 200. If X rises to 100 Y, the model ends at about 1.4142 X and 141.4214 Y, worth 282.84 Y. Holding 2 X plus 100 Y would be worth 300 Y. Underperformance is 17.16 Y, or about 5.72% of the 300 benchmark, before fees.

Easy mistakes to watch for

  • Calling any growing LP balance free of divergence loss.
  • Using the initial deposit as the divergence-loss denominator.
  • Assuming the label impermanent promises a rebound.

Keep in mind

The position still gained about 82.84 Y from its start, yet lagged holding. Do not mix these two comparisons.

Your turn

Explain the two denominators: 200 for return on the original deposit and 300 for the holding benchmark. List costs omitted here.

A quick check before we move on

What is the approximate underperformance versus holding?

  1. 5.72% of 200 Y
  2. No underperformance because the balance rose
  3. 5.72% of 300 Y
Check answer

5.72% of 300 Y The difference is about 300 − 282.84 = 17.16 Y; 17.16/300 is about 5.72%.

Sources and further reading

Content reviewed: 29 October 2026

All lessons

Educational material with hypothetical examples. Trading can cause substantial losses. A course, pattern, stop order or past result cannot guarantee a profit or limit every loss. Practise in simulation and check current rules and product terms in your jurisdiction.