This free Notion trading dashboard template gives traders a ready-to-use journal system built on three linked databases — no spreadsheet formulas to build, no database design required. It covers trade logging, setup tracking, and weekly performance review in a single Notion workspace, and includes copy-paste formula syntax for P&L, R-Multiple, and Win/Loss status.
What’s Included
- Trade Log database — 12 fields covering ticker, direction (Long/Short), entry price, exit price, quantity, stop loss, risk amount, setup type (linked relation), session (Pre-market/Regular/After-hours), P&L formula, R-Multiple formula, and a Review checkbox
- Playbook database — one record per setup type with entry criteria, ideal R:R target, linked trades relation, and a rollup field showing historical win rate across all linked trades
- Weekly Review database — linked to the Trade Log with rollup fields for net P&L, total trades, win count, and manual fields for Biggest Lesson and Planned Adjustment
- Copy-paste Notion formulas — P&L, R-Multiple, and Win/Loss status tag formulas are pre-built and documented inside the template
- Five filtered views — Winners Only, By Setup Type, This Week, Needs Review, and a Calendar view showing trade frequency by date
- TradingView embed instructions — step-by-step guide for attaching live charts inside individual trade records using the /Embed block
- Playbook gallery view — displays each setup as a card with its win rate, average R, and trade count at a glance
How to Use
Step 1: Duplicate the Template into Your Workspace
Open the shared Notion template link and click “Duplicate” in the top-right corner. Choose the workspace where you want to store your journal. The three databases — Trade Log, Playbook, and Weekly Review — will appear as linked pages inside a single parent page. If you’re on the Notion Free tier, note that the Weekly Review rollup fields require the Plus plan ($10/month) to aggregate across databases.
Step 2: Populate Your Playbook First
Before logging any trades, add a record to the Playbook database for each setup you actively trade. Use descriptive names: “Pullback to 20 EMA”, “VWAP Reclaim”, “Bull Flag Breakout”. Fill in Entry Criteria (specific, not vague — e.g., “price pulls back to rising 20 EMA on declining volume, then closes back above with a bullish candle”), your Ideal R:R target, and any notes. These records are the foundation the Trade Log builds on.
Step 3: Log Each Trade After the Close
Open the Trade Log database and create a new record for each trade. Enter Ticker, Direction, Entry Price, Exit Price, Quantity, and Stop Loss. Set Risk Amount to (Entry Price - Stop Loss) * Quantity — for a Long AAPL trade at $185 with a $182 stop and 100 shares, Risk Amount = $300. Link the trade to its Playbook record via the Setup relation field. The P&L formula prop("Exit Price") * prop("Quantity") - prop("Entry Price") * prop("Quantity") and R-Multiple formula prop("P&L") / prop("Risk Amount") calculate instantly.
Step 4: Use Filtered Views for Analysis
Switch between pre-built views rather than manually filtering. “By Setup Type” groups all trades by their linked Playbook record — this is where you identify which setups are actually profitable versus which ones look good in theory. “Needs Review” shows trades where the Review checkbox is unchecked, creating a daily review queue. The Calendar view highlights days with 3 or more trades, which often signals overtrading.
Step 5: Complete a Weekly Review Every Friday
At the end of each week, open the Weekly Review database and create a new record. Link it to all trades from that week. Rollup fields populate automatically: net P&L, win count, total trades. Then fill in the Biggest Lesson and Planned Adjustment fields manually — a trader with a $30,000 account running 8 trades/week should be able to identify one behavioral pattern per week from this review.
Step 6: Embed TradingView Charts for Visual Context
Inside any Trade Log record, type /Embed, then paste the TradingView permalink for that chart. The chart renders inline. This keeps all trade context — entry rationale, price action, annotations — in one place without maintaining a separate screenshot folder.
Key Benefits
- Relational architecture — trades link to specific Playbook setups, so win rate and average R calculate per setup automatically via rollup fields, not manual pivot tables
- Copy-paste formula syntax — the P&L formula
prop("Exit Price") * prop("Quantity") - prop("Entry Price") * prop("Quantity")and the Win/Loss tagif(prop("P&L") above 0, "✅ Win", "❌ Loss")are documented and pre-built; no formula-building required - Overtrading visibility — the Calendar view makes it immediately obvious when a trader is placing too many trades on high-volatility days, which research by Brad Barber (UC Davis) links to worse outcomes for 70-80% of active traders
- Playbook win rate tracking — over time, the rollup on each Playbook record shows which setups have a real edge and which ones don’t, based on actual trade history rather than intuition
- Zero file management — TradingView charts embed directly into trade records, eliminating the screenshot folder problem that plagues spreadsheet-based journals
Template vs JournalPlus App
| Feature | This Template | JournalPlus App |
|---|---|---|
| Trade Entry | Manual entry after each trade | Auto-imported from 50+ brokers |
| P&L Calculation | Notion formula — accurate, requires correct field entry | Real-time with commissions and partial fills |
| R-Multiple Tracking | Formula-based; manual risk amount entry required | Calculated automatically from stop loss |
| Setup Analytics | Rollup by linked Playbook record | 30+ metrics by setup, session, and symbol |
| Scalability | Slows past ~500 trades; Free tier limits rollups | No performance limit; handles years of history |
| Chart Review | Embedded TradingView via /Embed — manual | Automatic chart snapshots per trade |
| Price | Free (Plus plan $10/mo for cross-database rollups) | $159 one-time, lifetime access |
For traders placing 5-15 trades per week who already live in Notion, this Notion trading dashboard template is a fully functional solution. When trade volume grows or manual entry becomes the bottleneck, JournalPlus handles the import and calculation layer automatically — and the swing trading journal template covers the same use case in a spreadsheet format if you prefer that workflow.
Download
Download the free Notion Trading Dashboard Template and duplicate it directly into your workspace. No account required — click the link and duplicate in one step.
Frequently Asked Questions
Is this Notion trading journal template free?
Yes, the template is free to duplicate. However, the cross-database rollup fields — which power the Weekly Review aggregations — require Notion’s Plus plan ($10/month). On the Free tier, rollups only aggregate within a single database, so the Weekly Review totals will not populate automatically without an upgrade.
Can Notion handle all my trade data without slowing down?
Notion performs well for traders placing 5-20 trades per week. Above roughly 500 total trade records, rollup formulas and filtered views begin to load more slowly. The trading journal for Airtable handles larger datasets more efficiently if you’re a high-frequency trader. For active traders with years of history, a purpose-built tool like JournalPlus scales without performance issues.
What Notion formulas are used for P&L and R-Multiple?
P&L uses prop("Exit Price") * prop("Quantity") - prop("Entry Price") * prop("Quantity"). R-Multiple uses prop("P&L") / prop("Risk Amount"), where Risk Amount is entered manually as (Entry Price - Stop Loss) * Quantity. The Win/Loss status tag uses if(prop("P&L") above 0, "✅ Win", "❌ Loss"). All three formulas are pre-built in the template — no editing required unless you want to customize field names.
How is this Notion trading dashboard different from a spreadsheet?
The core difference is relational data. Each trade in the Trade Log links to a specific Playbook record, so aggregate stats — win rate, average R, trade count — roll up automatically per setup type. A spreadsheet requires pivot tables or manual COUNTIF logic to get the same view. The risk management spreadsheet is a good complement if you want spreadsheet-based position sizing alongside your Notion journal.
Can I automate trade entry into Notion from my broker?
Automation is possible using Make or Zapier with the Notion API, but it requires custom configuration and your broker must support export triggers or webhooks. The template is designed for manual entry after each trade. If automated import is a priority, JournalPlus connects directly to 50+ brokers — including TD Ameritrade, IBKR, and Webull — with no configuration required.
