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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FOMO and decision routines

3 min read

A fast-moving price can make “not now” feel impossible. Practise that decision before the exciting candle arrives.

Here is what we will figure out

Recognise emotional triggers and replace urgency with predefined actions.

Fear of missing out can turn another person's excitement into your own rushed order. Social feeds show selected outcomes and may hide incentives, losses or manipulation. A rapidly rising token is evidence of a price change, not evidence that you understand the risk.

Revenge trading tries to erase a prior loss; overconfidence can follow a win. Both can lead to larger size, weaker conditions or unplanned leverage. Identify the behaviour in your journal without treating every uncomfortable feeling as a reason to trade or to abandon a sound rule.

Precommit practical routines: a pause after a limit is reached, a written checklist and no orders when required information is missing. Turn off unnecessary alerts during study. Evaluate whether you followed the routine rather than whether a missed trade later became profitable.

Let’s use numbers · hypothetical example

A fictional token rises from USD 2 to USD 3 while a chat says 'last chance'. Your rule requires a verified source and a five-minute pause. Neither is complete, so the paper decision remains no trade even if price later rises.

Keep in mind

A stranger's promised return and artificial urgency are warning signs, not substitutes for independent evidence.

Your turn

Write three personal triggers and an observable response for each: pause, review the checklist or end the practice session.

A quick check before we move on

Does a missed move mean your no-trade rule was wrong?

  1. Yes; any later rise proves you should have bought
  2. Yes; regret is a trading signal
  3. No; judge the decision using information and rules available then
Check answer

No; judge the decision using information and rules available then A later outcome does not change what was knowable at the decision time. Review the rule across a sample.

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.