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TradeStation Trading Journal

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TradeStation trade import

Analyse your TradeStation activity with charts, AI insights, trade grading, statistics and discipline tracking.

Use supported sync or file import to load your trading data into RizeTrade, with manual entry available when you want to add your own notes and review details.

Trades table listing imported fills, each with symbol, entry, exit, volume, net profit and R

Chart-based trade review

View completed trades with entry and exit points marked on the chart. Check:

  • Entry timing
  • Exit timing
  • Position management
  • Price movement during the trade
  • What happened after the exit

Use the chart alongside your journal notes for a more complete review.

A past trade replayed on a five-minute chart, with its entry, exit, stop and target marked

Trade grade and trading efficiency

Evaluate each trade from two different angles.

Trade Grade lets you score the quality of the trade against your own process.

Trading Efficiency measures how effectively you handled the available opportunity.

Together, they give you more information than P&L alone.

The journal editor with its A, B, C performance grade control lifted onto a card below

Trading Mentor AI

Use Trading Mentor AI to query your journal data and investigate specific areas of your trading. For example:

  • Which setups produce my highest trade grades?
  • Which types of trades have my weakest execution?
  • Are my exits improving or getting worse?
  • Which mistakes appear most often across my recent trades?
  • When does my performance become less consistent?
The Ask Trading Mentor AI button over the trades table, ready to be asked about the wins and losses listed behind it

Trading discipline

Set the trading rules you want to monitor and use the Discipline Tracker to record whether you followed them.

Review discipline alongside P&L, Trade Grade and Trading Efficiency.

This gives you a clearer way to identify whether performance changes are coming from the strategy or from how it was executed.

Daily rules table showing follow rates from 0% to 100% across seven rules

Emotion tracking

Record your mindset around individual trades.

Track factors such as confidence, frustration, hesitation or impatience and compare them against your actual performance.

This adds behavioural data to the rest of your journal metrics.

A tag breakdown table with the strongest emotion list open beside it, Calm highlighted

P&L calendar

Review daily trading results across the month. The calendar makes it easy to locate:

  • Strong trading days
  • Losing periods
  • High-activity sessions
  • Changes in consistency
  • Dates that need deeper review

Open the trades behind any day for more detail.

A month of trading as a calendar, each day showing its trade count and profit or loss, with a weekly total column

Trading statistics

Analyse performance across more than a handful of recent trades.

Use your statistics to compare results, execution and recurring patterns across a wider trading sample.

Journal Reports can then combine key performance data into a more structured review.

A time of day breakdown beside the full statistics grid, showing win rate, profit factor and average hold times

TradeStation journal features

  • TradeStation import

    Load supported trading data into your journal.

  • Trading Mentor AI

    Analyse your trade history with AI.

  • Trade charts

    Inspect entries and exits visually.

  • Trade grade

    Score the quality of individual trades.

  • Trading efficiency

    Measure execution quality.

  • Discipline tracker

    Monitor adherence to your trading rules.

  • Emotion tracking

    Record behavioural context.

  • P&L calendar

    Review daily performance.

  • Statistics

    Analyse broader trading patterns.

  • Journal reports

    Run structured performance reviews.

  • Manual trade entry

    Log trades manually when required.

Analyse your TradeStation performance

Use RizeTrade to review execution, measure discipline and analyse the patterns across your TradeStation trading data.