Crypto course · Section 6: Pro: Systems, Testing and Your Trading Plan
Trading Psychology and Journaling: Following Your Own Rules
The biases that make crypto traders break their rules, the guardrails that stop them, and a trading journal template with a worked weekly review.
Pro6 min read·5:46 video·Lesson 23 of 26·quiz: 4 questions
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Trading psychology is about following your own rules when fear, greed, boredom and frustration push you to break them, and a trading journal is the tool that makes that measurable. By recording every trade with its plan, its result in R, whether you followed the rules and how you felt, you turn vague feelings into data that you can review each week and fix. Most traders already know enough rules; the hard part is following them.
Why good traders still break rules
Your brain was not built for markets. A few well-documented tendencies cause most of the damage:
- Loss aversion: losses hurt more than equal gains feel good, so traders cut winners early to "lock in" a win and hold losers hoping to avoid the pain of realising them. That produces exactly the small-wins, big-losses pattern from Stop-Losses and Risk:Reward.
- FOMO (fear of missing out): chasing a coin after a big green candle, usually far from any planned entry.
- Revenge trading: taking a bigger or unplanned trade right after a loss to win it back.
- Overconfidence after a streak: a few wins make you feel the market is easy, so you raise size just before the next losing streak.
- Recency bias: treating the last few trades as the truth about a strategy, when they are mostly noise.
- Confirmation bias: looking only for posts and charts that agree with your position.
- Sunk cost: "I've held it this long, I can't sell now."
Knowing the names does not stop them. Systems do.
Guardrails that remove decisions
Write these into your trading plan and follow them mechanically:
- Pre-trade checklist. No trade unless entry, stop, size and reason are written down first.
- Daily loss limit. For example, stop trading for the day after a loss of 2% of the account or three losing trades.
- Maximum trades per day or week. It limits over-trading and fees.
- Cooling-off rule. No new trade for a set time, such as one hour or until the next daily close, after a big win or a big loss.
- Drawdown rule. If the account falls a set amount from its peak (say 10%), halve risk per trade until it recovers part of the loss.
- No trading when tired, ill, angry or rushed. Crypto is open every hour; you do not have to be.
Tip
Turn off price alerts for coins you are not trading, mute signal groups and leave social media out of trading hours. Every extra input is a chance for an impulse trade.
The trading journal
Keep it in a spreadsheet or notebook. One row per trade:
| Field | What to record |
|---|---|
| Date and time (UTC) | When you entered and exited |
| Coin and direction | ETH long |
| Setup | Which rule triggered it, e.g. "20-day breakout" |
| Entry, stop, exit | Planned and actual prices |
| Size and 1R in money | Position value and the amount at risk |
| Result in R | +2.0R, -1.0R, +0.3R |
| Followed the plan? | Yes or no; if no, which rule broke |
| Emotion before and during | Calm, anxious, excited, bored, angry |
| Mistake tag | Late entry, moved stop, oversized, FOMO, none |
| Screenshot | Chart at entry and exit |
| Lesson | One sentence |
Recording results in R rather than money lets you compare trades of different sizes and see the real shape of your trading.
The weekly review
Each week, spend 30 minutes on the journal:
- Total R, win rate, average win, average loss and expectancy.
- Rule-following rate: what share of trades followed the plan completely?
- Results split by mistake tag.
- One thing to keep doing and one thing to change.
Example
Over a month you took 20 trades. 8 won an average of +2.1R and 12 lost an average of -1.1R.
- Total = 8 x 2.1 - 12 x 1.1 = 16.8 - 13.2 = +3.6R. Expectancy = 3.6 / 20 = +0.18R per trade.
- Split by tags: the 15 trades that followed the plan made +6.6R; the 5 off-plan trades (FOMO entries and one moved stop) lost -3.0R.
The strategy is working; the off-plan trades are costing almost half of its profit. The fix is not a new indicator, it is one rule: no entry without the written checklist.
Also look at the average loss. If it is larger than 1R (here -1.1R), stops are slipping, being moved or placed too loosely, and that leak deserves attention.
Process over outcome
A single trade's result is mostly luck. A trade that followed every rule and lost is a good trade. A trade that broke the rules and won is a bad trade that will cost you later, because it rewards the wrong behaviour. Grade each trade on process first.
| Followed the plan | Broke the plan | |
|---|---|---|
| Won | Good trade | Bad trade, lucky |
| Lost | Good trade, normal cost of business | Bad trade, the one to fix |
Handling drawdowns
Every strategy has drawdowns. Before one happens, write down:
- The drawdown you expect, from your backtest. A good rule of thumb is to expect live drawdowns to be worse than the backtest showed.
- What you will do at each level: for example, halve risk at -10%, pause and review at -20%.
- What would tell you the strategy itself has stopped working, versus a normal bad patch. More on this in Risk of Ruin.
Risk
If trading is affecting your sleep, your relationships or money you need for living costs, stop and step back. No strategy is worth that, and decisions made under that pressure are rarely good ones.
Pro note
Many professional traders follow systematic rules precisely because rules hold up better than willpower under stress. Even a discretionary trader can systematise risk: size, stops, daily loss limits and drawdown rules.
Next, step up from single trades to the whole account in Crypto Portfolio Construction and Correlation With Bitcoin.
Key takeaways
- Most trading damage comes from breaking your own rules under fear, greed, boredom or frustration, not from a lack of strategies.
- Pre-set guardrails such as a daily loss limit, a maximum number of trades and a cooling-off rule remove decisions at the worst moments.
- A journal records the plan, the result in R, rule-following and emotions for every trade, turning feelings into data.
- Judge decisions by process, not outcome: a well-executed losing trade is a good trade.
- Reduce size during drawdowns; never increase it to win losses back.
Quiz: check what you learned
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