This isn't a cost decision
Both options are free, or close enough to it that price shouldn't be what decides this. Notion and Google Sheets can each track everything a trading journal needs: date, instrument, entry, stop, exit, P&L, R Multiple. What actually differs is how each one handles the question underneath the raw log: which setup is working, and how do you see that without hunting for it.
Quick comparison table
| Notion | Google Sheets | |
|---|---|---|
| Cost | Free for individual use | Free |
| Setup time | 30 to 60 minutes | Under 15 minutes |
| Setup level win rate | Automatic, via rollup | Manual pivot table or filter |
| Formula transparency | Hidden inside rollup logic | Every formula visible in the cell |
| Works offline | Limited | Yes, with offline access enabled |
| Best for | Traders who already use Notion daily | Traders who want to see every calculation |
Pick Notion if you want the structure to do the work
Notion's advantage is relational. Link a Trade Log to a Playbook database, and the Playbook can carry a rollup that automatically shows win rate and average R for each setup, updating as you log new trades. You don't build a pivot table or filter anything by hand. The cost is setup time upfront: getting the relations and rollups configured correctly takes longer than opening a blank spreadsheet, and if you're not already comfortable with Notion's database features, there's a real learning curve before it starts saving you time instead of costing it.
Pick Google Sheets if you want to see the math
A spreadsheet keeps every formula visible and editable in plain sight. Win rate, profit factor, and R Multiple are each one formula away, and you can see exactly how each number was produced rather than trusting a rollup you configured once and haven't looked at since. It also works identically on any device without needing an account beyond a Google login, and it's the more portable choice if you ever want to move your data somewhere else, since exporting a spreadsheet is simpler than exporting a relational Notion database.
Who actually ends up using which one
In practice, the split tends to follow prior habits more than any feature comparison. Traders who came from a spreadsheet heavy background, engineering, finance, or anyone comfortable in Excel before they ever opened a chart, tend to stay with Google Sheets because writing a formula feels faster than configuring a relation. Traders who already run their reading list, notes, or planning inside Notion tend to extend that same system to trading rather than introducing a second tool for one narrow purpose. Neither group is choosing based on which platform is objectively stronger. They are choosing based on which one they will not resent opening after a losing session, which is the actual variable that determines whether a journal survives past its first month.
The honest answer
If you already use Notion daily for anything else, use Notion, the setup cost gets absorbed faster because you're already fluent in the interface. If you don't, or you'd rather understand every number by looking at the formula that produced it, start with Google Sheets. Either one, used consistently for three months, will teach you more about your own trading than switching between both while looking for the "right" one. If neither appeals and you just want to start today with zero setup at all, a plain Apple Notes template covers the same core fields with no database mechanics whatsoever.
The template you'll actually open every day beats the one that looked more impressive in a comparison article.
What if you pick wrong?
Neither choice is permanent, and switching later is less costly than it sounds. A Google Sheets journal exports to CSV in one click, and Notion imports CSV directly into a new database. The only real cost of switching is rebuilding whatever relational structure you had in Notion, since a flat CSV import brings the raw trade data across but not the Playbook and Session links. In practice this means the decision between the two matters less than actually starting, since three months of consistent data in the "wrong" tool beats zero months of data spent deciding between two right answers.
If your trade volume grows enough that either free option starts to feel like manual work, the comparison against paid tools like TraderSync and Edgewonk covers when that upgrade is actually worth the subscription cost.
Whichever you pick, the tool itself only gets you halfway. What you do with the data once it exists is a separate question, and it's the one that actually determines whether months of consistent logging changes anything about how you trade.
Frequently asked questions
Should I use a Notion or Google Sheets template for my trading journal?
Both are free or close to it, so the decision isn't about cost. Choose Notion if you want a Trade Log linked by relation to a Playbook and Session database, so win rate per setup updates automatically. Choose Google Sheets if you'd rather see every formula written out plainly and want something that works identically on any device without an account.
Is a free trading journal template good enough for a prop firm evaluation?
Yes. Prop firms have no requirement for a specific journaling tool, paid or free. A well maintained free template in Notion or Google Sheets tracks everything an evaluation requires, including running drawdown against the daily and maximum loss limits.
Can I switch from Google Sheets to Notion later without losing data?
Yes. Notion imports CSV files directly, so exporting a Google Sheets journal and importing it into Notion preserves the trade history. You will need to manually rebuild the Relation properties afterward.
Which template is faster to set up for a beginner?
Google Sheets is faster, usually under 15 minutes for the core columns and formulas. Notion's relational structure takes 30 to 60 minutes to configure properly, though it pays that time back once win rate per setup updates automatically.
Do I need both a Notion and a Google Sheets journal?
No. Running two systems in parallel usually means both get updated inconsistently, which is worse than one imperfect system updated every session. Pick one, commit to it for at least a month of real trades, and only reconsider if a specific limitation is genuinely costing you insight.
Funded prop trader at Apex Trader Funding ($100K) and Alpha Capital Group ($100K). MA Psychology candidate at Chandigarh University, with clinical training under Dr. Nitin Sethi and at Japneet Bakhshi Clinic. Cofounded TradeRoot with Khushi Narwal to work at the source of behavioral trading patterns rather than their symptoms.