All lessons
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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Open interest and liquidation data

3 min read

Open interest counts open contracts, not a queue of guaranteed future buyers. Read the number without inventing a story.

Here is what we will figure out

Recognize what a derivatives statistic cannot tell you.

Open interest counts outstanding contracts under a venue's convention. Each contract has both a long and a short side; its existence alone does not reveal which side is better informed or whether price must rise. Volume counts trading activity over a period instead.

Open interest can increase when new counterparties establish positions and decrease when existing positions are closed. Combining it with price produces hypotheses, not proof of hidden intent. Check whether a data service reports contracts, token units or dollar notional before comparing values.

Liquidation feeds report events captured by their sources. Heatmaps of potential liquidations often estimate levels from incomplete data and assumptions about leverage. They are not a complete map of all stops or a schedule that the market is required to visit.

Let’s use numbers · hypothetical example

Hypothetical: open interest rises from 1,000 to 1,200 contracts. This is 20% growth in outstanding contracts, not '200 extra buyers without sellers'. A price rise during the same interval still does not establish the identity or motive of participants.

Keep in mind

Aggregated dashboards may omit venues, revise data or mix definitions.

Your turn

Write a data checklist: provider, venue coverage, unit, timestamp and estimation method.

A quick check before we move on

Does higher open interest alone predict an upward move?

  1. Only if a heatmap is bright
  2. No
  3. Yes
Check answer

No Outstanding contracts have two sides; direction requires additional uncertain interpretation.

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.