This free Excel trading edge tracker helps traders move beyond gut feel and measure their edge mathematically — by setup type, in R-multiples, with a built-in sample-size confidence check. Download the spreadsheet and discover which of your setups are actually profitable and which are quietly draining your account.
What’s Included
- Trade Log Sheet — Columns for date, ticker, setup tag, entry, stop, target, exit, R-multiple outcome, and notes. Compatible with manual entry or paste from a broker CSV export.
- R-Multiple Calculator — Column K auto-computes each trade’s outcome as (Exit − Entry) ÷ (Entry − Stop). A $300 gain on a $150 risk is +2.0R regardless of account size.
- Setup Summary Table — Auto-populates win rate, avg win R, avg loss R, expectancy, profit factor, and sample count for each named setup. No manual aggregation needed.
- Sample Size Confidence Flag — Any setup with fewer than 30 trades shows “Insufficient Sample” in red. Below that threshold, results are statistical noise.
- Profit Factor Column — Gross Wins divided by Gross Losses per setup. Above 1.5 is worth keeping; below 1.0 means the setup loses money on gross terms before commissions.
- Retire Setup Trigger — If expectancy drops below 0R after 50 or more trades, the setup is automatically flagged for review in the summary table.
- Editable Setup List — Pre-loaded with 8 common setups (Bull Flag Breakout, VWAP Reclaim, Gap Fill Short, Opening Range Breakout, and others). Replace any with your own named strategies.
How to Use
Step 1: Name Your Setups Before You Trade
Open the Setup List tab and define 6-10 setup names before logging any trades. Examples: Bull Flag Breakout, VWAP Reclaim, Gap Fill Short, Earnings Fade. This sequencing is critical — naming setups retroactively introduces survivorship bias, where you unconsciously assign winning trades to your best-sounding setups. Lock in the names first.
Step 2: Log Each Trade with a Setup Tag
In the Trade Log sheet, fill columns A through J for each trade: date, ticker, setup tag (dropdown from your Setup List), entry price, stop price, target price, actual exit price, and notes. Column K auto-calculates the R-multiple. For a VWAP Reclaim trade with entry at $42.50, stop at $41.50, and exit at $44.50, the result is +2.0R — a $1 risk that returned $2.
Step 3: Review the Setup Summary Table
After 30 or more trades per setup, the Summary tab becomes meaningful. The expectancy formula in column F is: (Win Rate × Avg Win R) − (Loss Rate × Avg Loss R). A Bull Flag setup with a 58% win rate, 1.8R average win, and 1.0R average loss produces expectancy of (0.58 × 1.8) − (0.42 × 1.0) = +0.624R per trade. Professional traders target +0.2R to +0.5R — anything above that is a strong edge.
Step 4: Check the Confidence Flag
Column G shows confidence status per setup. Red “Insufficient Sample” means fewer than 30 trades — treat that setup’s stats as directional noise, not actionable data. An Earnings Fade setup showing 44% win rate after only 18 trades tells you nothing. Wait until you have 30 to 50 trades before deciding to scale up or retire that strategy.
Step 5: Act on the Summary Data
Sort the summary table by expectancy descending. Allocate more size to setups with the highest expectancy and profit factor. If a setup has negative expectancy after 50+ trades, the Retire Setup column flags it — stop trading it regardless of recent individual wins. Brad Barber and Terrance Odean’s research on retail trader underperformance points directly to overtrading low-expectancy setups as a primary cause of losses. This table forces the discipline to stop.
Key Benefits
- Setup-level segmentation — Most traders discover that 2-3 of their setups drive 80% or more of their profits, while the rest are break-even or losing. This template makes that visible in a single table.
- R-multiple standardization — Expressing all outcomes as a ratio of initial risk removes dollar distortion. A $200 win on a $400 risk (0.5R) is worse than a $100 win on a $50 risk (2.0R), even though the dollar amount is higher.
- Statistical discipline built in — The 30-trade minimum flag prevents a common mistake: drawing permanent conclusions from small samples and abandoning good setups after a few losses.
- Free alternative to paid tools — Edgewonk, the leading commercial setup-level tracker, costs approximately $169 one-time. This template replicates its core expectancy-by-setup functionality at no cost.
- Retire setup trigger — A concrete, rules-based exit criterion for underperforming strategies removes emotional attachment from the decision.
Template vs JournalPlus App
| Feature | This Template | JournalPlus App |
|---|---|---|
| Setup-Level Expectancy | Manual entry, 6-10 setups | Automatic across all tagged setups |
| Trade Import | Manual or CSV paste | Automatic from 50+ brokers |
| Sample Size Warning | Static flag column | Dynamic alerts with rolling windows |
| R-Multiple Tracking | Formula per trade | Real-time with commissions included |
| Retire Setup Trigger | Flag after 50+ trades | Configurable automated alerts |
| Analytics Depth | Win rate, expectancy, profit factor | 30+ metrics: MAE, MFE, drawdown, streaks |
| Price | Free | $159 one-time |
This template is a genuine, functional tool for any trader who wants to measure their edge without paying for software. When trade volume grows and manual entry becomes a bottleneck — or when you want MAE/MFE analysis and automatic broker imports — JournalPlus picks up where the spreadsheet leaves off.
Download
Download the free Trading Edge Tracker spreadsheet and start quantifying your setups today. No account or email required.
Frequently Asked Questions
What is trading expectancy and how do I calculate it?
Expectancy measures the average R-multiple outcome per trade across a sample of trades. The formula is Expectancy = (Win Rate × Avg Win R) − (Loss Rate × Avg Loss R). A result of +0.3R means each trade returns 0.3 times your initial risk on average. Professional traders, as discussed in Van Tharp’s Trade Your Way to Financial Freedom, typically target +0.2R to +0.5R per trade as a viable edge.
How many trades do I need before my win rate is meaningful?
At least 30 trades per setup before drawing conclusions — 50 or more gives stronger confidence. Below 30 trades, a 60% win rate and a 40% win rate are statistically indistinguishable given normal variance in trading outcomes. This template flags any setup under 30 trades as “Insufficient Sample” to prevent premature scaling or retirement decisions.
What is a good profit factor for a trading strategy?
A profit factor above 1.5 (gross wins divided by gross losses) is a widely used threshold for evaluating strategy viability. A profit factor of 1.0 means you are breaking even before commissions and slippage. Anything below 1.0 means the setup loses money on gross terms — no position sizing trick can fix a negative-expectancy strategy at scale.
Can I use this template to track forex or futures trades?
Yes. R-multiples are instrument and position-size agnostic. Set your stop distance in pips, ticks, or points in the stop price column, and the R-multiple column calculates correctly for any market. A +2R trade on EUR/USD and a +2R trade on the ES mini futures represent identical edge quality regardless of dollar value.
What is the difference between this template and a standard trade log?
A standard trade log tracks P&L by date and lets you sum up monthly returns. This tracker segments performance by named setup type and calculates expectancy and profit factor per strategy with a built-in sample-size confidence flag. The backtesting log and trade review worksheet are complementary tools — use them alongside this tracker to build a complete edge validation workflow.
