Keeping a skin trading journal: records and results

Memory is poorly designed for a trader: successful trades are remembered vividly, unprofitable ones are quietly forgotten. Therefore, almost everyone who trades without a table is sure that he is in the black. A journal is needed not for reporting, but to see the truth.
What fields are needed in the table, four metrics that show the real result, and why, without accounting, almost everyone is sure that they are trading profitably.
What to record
Minimum set: purchase date, full name of the item with condition, purchase price, purchase site, sale date, sale price, sales site.
Be sure to add two fields that are usually forgotten. The first is the amount actually received after the commission, and not the price of the lot. The second is the number of days the item has been lying around.
Helpful, but not required: Reason for purchase in one line. In a month you won’t remember why you took this skin, and that’s exactly what needs to be taken apart.
Fix the currency separately if you work both in Steam and for rubles. Mixing them in one column is a guaranteed way to get a meaningless result.
Four useful metrics
Net profit. The sum of all money received minus the sum of all money spent. It is calculated based on actual deposits, not price tags.
Average retention period. How many days on average does money stay in an item? A profit of 10% in a week and 10% in six months are fundamentally different results, and without this figure they cannot be distinguished.
Share of losing trades. It's normal when it is there. It's not normal when you don't know her.
Frozen amount. How much money is sitting in unsold items right now. If this figure grows from month to month, you are not trading, but accumulating illiquid assets.
- Calculate your total once a week, not after each trade.
- Record the deal right away - the numbers will not be restored accurately in hindsight.
- A regular table is enough, no special services are needed.
Reviewing your trading journal
Look at the grand total, not the individual lines. One large successful trade easily masks a dozen small unprofitable ones.
Compare the plan with the fact. If you bought an item with the expectation of selling it in two weeks, but it sits for two months, this is an error in assessing liquidity, and it will repeat itself until you name it.
Look for patterns in losses. Usually they are of the same type: buying on growth, incorrect assessment of liquidity, underestimated commission. Three or four entries with the same reason is already a system that can be corrected.
And separately: a profitable deal does not mean a correct one. You could buy at random and guess. Evaluate the decision based on the data you had at the time of purchase, and not on the result.
Three accounting mistakes
Count from the price of the lot, and not from the amount received. A 13% commission on a sale turns a paper plus into a real minus.
Mix the balance of Steam with rubles. These are different currencies with different purchasing powers, and you cannot add them together.
Ignore unsold items. The result, calculated only on closed transactions, always looks better than the real one: everything unsuccessful continues to hang in the inventory and is not included in the calculation.
Frequently asked questions
What to write down in the transaction journal?
Date, full name of the item, purchase price, amount actually received after commission, site, date of sale and retention period.
Do I need a special service for accounting?
No, a regular table is enough. The main thing is to write down immediately and count according to actual enrollments.
How do I know if I'm trading for profit or loss?
Add up all actual receipts, subtract all expenses, and be sure to take into account money frozen in unsold items.
Why record the retention period?
A profit of 10% in a week and in six months are completely different results. Without a deadline, there is no point in comparing deals.
Is a profitable trade considered successful?
Not necessarily. You need to evaluate the decision based on the data that was available at the time of purchase, otherwise random guessing becomes established as a strategy.

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