How to export Tradovate trades
Your goal is a CSV that represents executions/fills (not just summary), so costs, partial fills, and timestamps survive into your journal.
In Tradovate, navigate to the area that lists your trade history or executions. You want the export that includes fill prices and timestamps.
Export for the same period you review (week or month). If you scale size intraday, keep the raw export so you can compute R later.
Ensure you have symbol, quantity, entry/exit prices & times, commissions/fees, and net P&L. Then add planned risk and tags (setup + session) for review.
Calculate expectancy and profit factor segmented by setup and session. That’s how you get actionable keep/modify/cut decisions.
What fields matter for Tradovate journaling
A Tradovate export becomes “useful” only when you combine it with risk context and tags. These are the fields that let you compute edge honestly.
| Field | Why it matters | How to use it in review |
|---|---|---|
| Symbol + contract type | Micros vs minis change cost impact and behavior. | Segment results by symbol, micro/mini. |
| Entry/exit time + price | Needed for session tagging and hold-time patterns. | Tag RTH/ETH, analyze timing. |
| Quantity (contracts) | Sizing changes $ results without changing edge. | Prefer expectancy in R when size varies. |
| Commissions / fees | Costs are a strategy variable in futures. | Review net outcomes, not gross. |
| Net P&L | Net is the only truth for viability. | Compute PF/expectancy on net data. |
| Planned risk (you add) | Allows R-multiples and fair comparisons. | Compute realized R per trade. |
| Setup + session tags (you add) | Turns logging into evidence. | PF/expectancy by setup + session. |
- Symbol + micro/mini
- Entry/exit time + price
- Contracts + fees/commissions
- Net P&L
- Planned risk + setup/session tags
Use expectancy for edge per trade and profit factor for efficiency.
Futures vs forex differences (for journaling)
Tradovate is primarily used for futures-style workflows. If you journal across asset classes, these are the differences that change the “truth” of your metrics.
- Tick size/value matters for risk and comparability.
- Costs (commissions/slippage) can flip expectancy.
- Sessions (RTH vs ETH) often change edge.
- Spread/commission models differ (broker-dependent).
- Pip value changes with pair and lot size.
- Session labeling still matters, but the microstructure differs.
If your journal can’t represent costs, risk, and session context, your conclusions will drift - especially in futures.
Best Tradovate journaling workflow
This is the “production” workflow: simple enough to do weekly, strict enough to be accurate.
Export executions/trades to CSV weekly. Keep raw fills to preserve partials and timestamps.
Add planned risk + setup tags + session tags. This turns a log into a dataset.
Compute expectancy + profit factor by setup and session. Decide keep/modify/cut.
Use the app so tags + review are structured and repeatable.
Related pages
Use these to build your full journaling system around Tradovate exports.
What to track, common mistakes, and review cadence.
A strict schema for ticks, costs, net P&L, and tags.
Measure edge per trade (R or $) for decisions.
Fast efficiency ratio to pair with expectancy.
FAQ
Does Tradovate have trading journal
Tradovate provides account history and reporting, but most traders still use a dedicated trading journal to standardize fields, add setup/session tags, and compute review metrics. The goal is actionable weekly review, not just a trade log.
How to export Tradovate trades
Export your executions or trade history to CSV from the reports/account history area. Capture symbol, quantity, fill times/prices, commissions/fees, and net P&L. Then add planned risk and tags for setup and session so you can review properly.
Tradovate trading journal
A Tradovate trading journal is a workflow that turns Tradovate exports into a structured dataset: costs + net P&L, risk normalization (R), setup tags, session tags, and weekly review metrics (expectancy + profit factor).
What to track in a futures trading journal
Track symbol (micro vs mini), stop distance in ticks, planned risk, commissions/slippage, net P&L, realized R, setup tags, session tags (RTH/ETH), and short review notes. Start with a structured schema: futures trading journal template.