Before entry
Write the setup, market context, planned invalidation, paper size, time horizon, and what the trade is supposed to test.
Use case
Crypto trading journal for paper trading
Build a crypto trading journal around paper-trading evidence: setup thesis, entry notes, exit notes, risk review, behavioral patterns, and agent decision history.
Why crypto journals need structure
Crypto moves quickly, which makes memory a bad source of truth. A paper-trading journal should capture what was known before entry, what changed during the trade, and what the review concluded after exit. Without that sequence, the journal becomes a collection of outcomes instead of a tool for improving process.
During the trade
Track agent decisions, alerts, thesis drift, context changes, and whether new information changes the paper-trading process.
After exit
Review result, behavior, drawdown, rule fit, and what should change before the next simulated trade.
Journal fields that matter
| Journal field | Question to answer | Why it helps |
|---|---|---|
| Thesis | What exact setup or catalyst is this crypto paper trade testing? | Prevents vague journal entries that cannot be reviewed. |
| Risk | What paper position size, stop, invalidation boundary, and drawdown limit were planned? | Makes sizing and risk reviewable. |
| Agent rationale | What did the agent see when it recorded a simulated decision? | Creates traceability for review instead of relying on memory. |
| Behavior tag | Was this patient, early, late, overtraded, rule-compliant, or outside the plan? | Turns repeated behavior into something measurable. |
| Post-trade note | What should change in the process after the exit? | Turns outcomes into a feedback loop. |
Example journal entry
Setup: SOL relative strength after a market-wide pullback, practicing a long-only swing thesis in paper mode.
Risk note: Paper risk capped at 1 percent, invalidation below the setup low, no second correlated entry until this position exits.
Review question: Did the agent wait for the intended confirmation, or did it react to a Telegram alert without enough context?
Useful companion pages
Daily review routine
A useful crypto journal gets reviewed on a schedule, not only after memorable wins or losses. At the end of a paper-trading session, scan the new entries, exits, alerts, and skipped setups. Mark anything that violated the written plan, then decide whether the sample is large enough to justify action.
The best output is specific: keep the rule, reduce paper size, pause the setup, tighten invalidation, or collect more examples before changing anything.
Behavior tags to track
- Late entry after the move already happened.
- Early entry before confirmation.
- Good rule fit with poor outcome.
- Bad rule fit with profitable outcome.
- Overlapping exposure to the same market narrative.
Weekly journal audit
A weekly audit should answer whether the journal is getting easier to trust. Group entries by setup type, token, time horizon, and behavior tag. Then compare paper size, invalidation quality, alert timing, and post-trade notes across similar examples. The goal is to find patterns that repeat, not to explain every individual trade.
If the journal shows five different setup labels for nearly the same behavior, simplify the labels. If every losing trade gets a new excuse, tighten the pre-trade fields. If the agent keeps acting outside the intended market frame, update the persona or pause that workflow.
The audit should also include skipped opportunities. A skipped setup with a clear reason can be better evidence than a forced entry, because it shows the paper-trading rules are influencing behavior before risk is simulated.
Journal quality checks
- Can a reviewer understand the setup without seeing the outcome?
- Does each entry include the same risk and invalidation fields?
- Are behavior tags reused consistently across trades?
- Does the post-trade note produce one next action?
- Are skipped setups recorded when they reveal useful discipline?
If the answer is no, the fix is usually a smaller workflow rather than more journal fields. Make the review easier before adding complexity.
FAQ
What belongs in a crypto trading journal?
At minimum, include thesis, invalidation, paper size, entry context, exit context, agent rationale, behavior tags, and the next process decision. The goal is to make future review possible.
Is Trading Boy a live trading journal?
No. Trading Boy is paper-trading software. It records simulated decisions and review evidence, but it does not execute live trades or hold funds.
How often should a crypto paper-trading journal be reviewed?
Review new paper entries daily for completeness, then review behavior tags, risk patterns, and rule changes weekly so one memorable result does not dominate the process.
Paper-mode framing
This journal is for simulated trading practice. It is not a live execution blotter and does not provide financial advice.