MONTHLY REVIEW

Monthly Trading Review Built for Evidence

Name: TradeReality
Brand: TradeReality

A monthly trading review synthesizes sessions, trades, journal entries, targets, and behavioral observations into patterns that are invisible at the daily level. It turns raw data into evidence.

Daily review tells you what happened today. Monthly review tells you whether last month's corrections held, whether behavioral patterns are improving or drifting, and what to prioritize next month.

TradeReality builds a monthly PDF review from your recorded data — trades, sessions, journals, and targets combined into a structured behavioral summary.

Start free Back to TradeReality

TradeReality monthly review summary with executive overview, session count, and behavioral focus notes

What is a monthly trading review?

A monthly trading review is a structured synthesis of everything recorded across all sessions in the past month. It is not a list of trades. It is an analysis of patterns: how behavior evolved over the month, whether correction actions from the previous review took hold, and what the data reveals about the next priority.

The distinction between a monthly review and a simple P&L summary is the behavioral layer. A P&L summary shows whether you made money. A monthly review shows why — which behavioral patterns drove the results, which sessions were well-executed versus poorly managed, and what the trend looks like over multiple months.

Pattern synthesis

Aggregates sessions and journal entries into behavioral trends across the full month.

Correction tracking

Shows whether corrections set in the previous review held, improved, or reversed.

Priority setting

Produces one to three actionable priorities for the next trading month.

What to include in a monthly trading review

A complete monthly review draws from every layer of the recorded data — not just trade outcomes. Here is the structure that makes monthly reviews comparable and actionable:

Total session count and active trading days
Session rule adherence rate — the percentage of sessions where all rules were followed
Recurring behavioral patterns identified across sessions (e.g., late-session overtrading, post-loss urgency)
Time-block performance comparison — which hours and days outperformed or underperformed
Asset and direction breakdown — consistency across instruments and trade directions
Comparison to the previous month — did behavioral corrections hold?
One to three correction priorities for the next month

Monthly patterns and behavior trends

Some behavioral patterns only become visible at the monthly level. A single session of late-session overtrading looks like an anomaly. Five sessions in a month with the same pattern at the same time block is a behavioral signal worth acting on.

The P&L calendar in TradeReality shows day-level session results across the full month. Combined with session heatmap data and journal entries, this gives you the evidence base for a complete monthly behavioral review.

TradeReality monthly P&L calendar showing day-by-day session results with journal markers

How TradeReality builds your monthly review

TradeReality generates a monthly PDF review from your recorded trades, sessions, and journal entries. The review includes an executive summary, session count and adherence data, behavioral focus notes, and performance trends — built from your own data.

No external data. No signals. No advice about what to trade next month. The review reflects what you recorded — which is the only evidence that matters for behavioral improvement.

Monthly PDF reportDownloadable review with executive summary, session data, and behavioral focus

Session heatmapTime-block performance aggregated across all sessions in the month

Journal historyAll session and trade journal entries searchable across the review period

Trading targetsTarget adherence tracked across the month — not just outcomes

P&L calendarDay-by-day session results with journal markers for quick behavioral correlation

TradeReality session heatmap used in monthly review to surface time-block behavior patterns

FAQ

What is a monthly trading review?

A monthly trading review is a structured analysis of all sessions, trades, journal entries, and behavioral observations from the past month — synthesized into patterns, correction priorities, and targets for the next period.

What should a monthly trading review include?

A complete monthly review covers: total session count and rule adherence rate, recurring behavioral patterns, time-block and asset performance, comparison to previous month, and one to three correction priorities for the next month.

How is monthly review different from daily or weekly review?

Daily review focuses on session-level patterns. Monthly review reveals longer-cycle trends: behavioral drift that builds over weeks, seasonal patterns, and whether corrections applied earlier in the month held or reversed.

How often should I do a monthly trading review?

Once per month, at the end of the trading month or the first day of the new month. The review is most useful when session data and journal entries are current and the session count is at least 15–20.

Does TradeReality generate monthly reviews automatically?

TradeReality generates a monthly PDF review from your recorded trades, sessions, and journals. It summarizes behavioral patterns and performance data — it does not provide financial advice or predictions.

What if my monthly results are poor — how should I use the review?

A poor month provides the most useful review data. Focus on recurring behavioral patterns, not outcomes. Identify the behavioral triggers that caused the most rule breaks and set one correction action for the next month.

Build your monthly trading review from evidence.

Sessions, journals, targets, and behavioral patterns combined into a structured monthly PDF — without signals or predictions.

Start free View pricing

Trading Journal Binary Options Trading Journal Revenge Trading Fix Risk Disclaimer Education-Only Notice

Disclaimer: TradeReality is educational analytics software. It does not provide financial advice, trade signals, or market predictions. Trading involves significant risk of financial loss. All trading decisions remain solely with the user.