Why Can't You Publish a Normal Trading Journal?

The category was built for a different job

Trading journal software — the established category — is analytics for your own consumption. You connect a broker, trades import automatically, and you get statistics, tags and charts to find out what is working. As a personal tool it is genuinely useful and the good ones are worth their subscription.

But every design decision that makes it a good private tool makes it useless as public evidence:

Feature	Good for analytics because	Fatal for evidence because
Imports after the fact	Zero manual entry	The record never existed before the fact
Editable entries	Fix bad fills and tags	A reader cannot tell corrections from curation
Per-account connection	Analyse one strategy at a time	You choose which account is on show
Deletable trades	Remove test or erroneous entries	Losers can go the same way
Private by default	Your data is yours	Publication is opt-in, so what is shown is selected

None of this is a criticism of the products. It is a category mismatch: you are asking a spreadsheet with charts to act as an attestation, and it was never built to.

Import proves execution, not decision

The strongest thing a broker-import journal offers is that the fills are real. That does rule out fabrication of individual trades, which matters.

What it cannot address is that you decided what to import, after you knew how it went. Three accounts, one connected. A start date chosen with hindsight. An account abandoned after a bad run and never mentioned. Every imported row is authentic and the aggregate still tells a reader nothing about skill.

What a publishable journal needs

1. Entry before outcome. The trade is recorded while the result is unknown. This is the requirement that forces manual commitment — an automatic import by definition happens afterwards.
2. Immutability. No edits, no deletions, no backdating.
3. Whole-record scope. Publication covers everything, not a per-trade choice.
4. Independent verifiability. A reader can check integrity without trusting the platform.

Point one carries a real cost worth being honest about: you have to commit the trade yourself, at the time, rather than have it appear automatically later. That is more friction than an import, and the friction is not incidental — it is the evidence. A record that costs nothing to produce afterwards proves nothing about beforehand.

What the workflow actually looks like

The objection to manual commitment is that it sounds laborious. In practice it is a few seconds at the point of entry, and it happens at the moment you are already deciding — which is when the information is cheapest to record, because you are thinking about it anyway.

1. You decide to take a trade and commit it: instrument, direction, entry, stop, target, size.
2. The commit is timestamped and sealed before the fact. It cannot be changed from this point.
3. The time capsule opens and the commit becomes public on your profile.
4. Your statistics recompute from the sealed commits — not from anything entered later.

Compare that with the import workflow: you trade, and some hours or days later the journal pulls the fills and shows you what happened. Less effort, and it produces an artifact that answers a strictly weaker question.

What you give up

Being straight about the trade-offs, because they are real:

• Effort at entry. Automatic import genuinely is easier. If nobody will ever need to believe your results, that convenience may be the right choice.
• Permanence. A bad month is on the record and stays there. That is the source of the credibility and it is also uncomfortable.
• Analytics depth. Mature journal products have years of tagging, filtering and reporting features. kappi's public metrics — PnL, RME, correlation to SPX, mean R:R, trade count over 30/100/200-day windows — are about evidence, not about slicing your own data twenty ways.

Those are complementary rather than competing needs, and running both is entirely reasonable: an import journal for private analysis, a pre-committed record for anything anyone else has to believe.

The price comparison

kappi is $15 a month with no free tier. The established journals run $35/mo (TradeZella),^[1] $29.95/mo (TraderSync) and $29.95/mo (Tradervue),^[2] each billed monthly. Edgewonk is the outlier: $197/16mo buys a licence rather than a subscription, and over that 16-month term it is $12.31 a month^[3] — the one journal here that costs less than kappi. Everything else on the list is roughly twice the price.

But price is the hook rather than the argument. The argument is that these products answer different questions, and if you need someone else to believe your results, the analytics package cannot do it at any price.

Broker-import journals prove what you did after the fact, from data you control. kappi timestamps what you said you would do, before you knew how it would turn out, on a record you cannot edit. $15/month, no free tier.