Demo Data — All data on this page is illustrative and anonymized sample data. It does not represent a real account, real performance, or trading advice. Not investment advice. No trading signals. No automated trading.
Dashboard (sample)

Trade performance overview

The figures below are derived from illustrative sample CSV import records and are shown only to demonstrate how TradeTrace organizes and presents statistics. They do not represent real trading outcomes.

42TradesImported records (last 30 days)
48%Win rateProfitable trades / total trades
−$234Total PnLDerived from uploaded records
+$156Best day2026-05-14 (sample)
−$312Worst day2026-05-22 (sample)
3Behavior issuesRecurring patterns identified
Trade records (sample)

Sample trade list

TradeTrace parses historical trade records from CSV uploads and presents them in the format below. All records on this page are anonymized sample data and do not represent any real account.

Symbol (sample)DirectionEntry timeExit timeHolding timePnL (sample)Note
BTC/USDT (sample)Long2026-05-14 09:322026-05-14 11:051h 33m+$156Planned exit; stop-profit executed as intended
ETH/USDT (sample)Short2026-05-18 14:102026-05-18 14:4737m−$89Added to position after consecutive losses; stop-loss triggered
BTC/USDT (sample)Long2026-05-20 08:002026-05-20 16:308h 30m+$42Holding time longer than usual; small profit
SOL/USDT (sample)Long2026-05-22 10:152026-05-22 10:5540m−$312Oversized position; direction misjudged
BTC/USDT (sample)Short2026-05-25 13:002026-05-25 15:202h 20m+$78Improved behavior; stop-profit executed well

Sample data only. In a real scenario, TradeTrace parses and presents the user's own uploaded CSV records in this format.

Behavior diagnosis (sample)

Recurring patterns identified

TradeTrace identifies recurring behavioral patterns from uploaded historical trading records and presents them as prioritized cards. All analysis is based solely on data you upload. This is not investment advice, not a trading signal, and does not imply any recommendation to buy or sell.

Adding to position after consecutive losses

Priority: High7 occurrences

After 2 or more consecutive losing trades, you tend to increase the size of the next position.

Impact: This pattern accounts for approximately 64% of total losses in the past 30 days.
Feedback: Consider pausing after 2 consecutive losses rather than increasing position size. This is the highest-priority behavior to address.

Behavioral review observation only — not investment advice and does not indicate any buy or sell direction.

Holding time inconsistency

Priority: Medium12 occurrences

Profitable trades average 4.2 hours of holding time; losing trades average 38 minutes — the pattern is reversed.

Impact: Taking profits too early and holding losses too long is clearly visible in the record, affecting overall return quality.
Feedback: Try setting an expected holding time range before entering a trade and check against it during your review.

Behavioral review observation only — not investment advice and does not indicate any buy or sell direction.

High-frequency trading on Thursday afternoons

Priority: Low5 occurrences

Trade frequency on Thursdays 14:00–17:00 is 2.3× higher than other periods.

Impact: Win rate in that window is 31%, compared to an overall win rate of 48%; losses are also higher.
Feedback: Review the quality of trades in this specific window and consider reducing frequency or avoiding it.

Behavioral review observation only — not investment advice and does not indicate any buy or sell direction.

Daily review (sample)

Recent daily behavior summaries

TradeTrace generates a behavior summary for each trading day, helping users review their session performance rather than letting issues accumulate unnoticed. All summaries are based on uploaded records.

2026-05-252 trades+$78 (sample)

Trading behavior improved compared to previous days. Stop-profit execution was better than average. No add-after-loss behavior.

Main behavior tag: Stop-profit execution improved

2026-05-223 trades−$312 (sample)

Oversized position and add-after-loss behavior appeared on the same day. Most significant single-day loss this week.

Main behavior tag: Oversized position + add after loss

2026-05-202 trades+$42 (sample)

Holding time was longer than usual. Small profit, but hesitation on taking profits was apparent in the record.

Main behavior tag: Holding time longer than usual

Reminders (sample)

Behavior · Review · Data quality reminders

TradeTrace reminders are generated from your own uploaded historical behavior data. They include behavior reminders, review reminders, and data quality reminders. TradeTrace does not provide market scanning, trading opportunity alerts, buy/sell signals, or strategy reminders of any kind.

Behavior reminder2026-05-25

Behavior reminder: add-after-loss risk

You have shown add-after-loss behavior 3 times in the past 7 days. Review the corresponding behavior card before your next trade.

Review reminder2026-05-26

Review reminder: weekly review not completed

Last week's behavior review has not been marked as read. Completing reviews helps reduce the probability of repeating the same mistakes.

Data quality reminder2026-05-27

Data quality reminder: partial records

2 fill records from 2026-05-19 could not be matched to a complete round-trip trade and have been excluded from behavior analysis.

Data quality (sample)

CSV import diagnostics

TradeTrace automatically checks for data quality issues when parsing a CSV import and flags records that cannot be fully matched. The checks below show an illustrative example of what this looks like.

CSV import format42 records parsed successfully
Partial trade matching2 fill records could not be matched to a complete open/close round-trip; marked as skipped
Analysis coverage40 valid records included in analysis; coverage 95%
Important notice

About this demo

All data on this page is illustrative and anonymized sample data. It does not represent a real account, real trading records, or real performance of any kind.

TradeTrace does not provide investment advice, trading signals, automated trading, brokerage services, exchange services, custody, money movement, or return promises. All charts, statistics, and behavior analysis are based solely on data uploaded by the user and are for personal record-keeping and behavioral review only.

There is no real-time market state shown here. The sample PnL figures do not represent any performance promise or guaranteed return. No trade recommendation of any kind is implied.

You are solely responsible for all trading and investment decisions you make. Always conduct your own research or consult a qualified financial professional before making trading decisions.

Questions or reviewer access?

Self-service sign-up is not live yet. Reviewer access can be provided upon request.