Free Overtrading Detector: Analyze Your Trading Journal
Discover when your own trading performance, pace or planning discipline begins to deteriorate—without universal trade-count rules.
Choose how to begin
Your data stays in this browser tab and is not permanently stored.
Upload Trading Journal
Upload a CSV exported from your broker or journal. XLSX is not enabled in this privacy-first V1; export it as CSV first.
Maximum 3 MB and 10,000 rows.Manual Quick Entry
Add a few trades to test your own session. Date and P&L are required.
See a Complete Demo
Load a realistic sample journal with post-loss acceleration and weaker later trades.
Add trades
| Date | Entry | Exit | Symbol | P&L | Planning | |
|---|---|---|---|---|---|---|
| No trades added yet. | ||||||
Map journal columns
We matched common headings automatically. Confirm Date and at least one P&L field.
Validation preview
Review validation messages
Analysis results
Signal score is an educational index—not a diagnosis or prediction.
Your Strongest Signals
P&L by Trade Number
Later buckets are grouped when samples become smaller.
Trade Count vs Performance
Buckets come from your own session distribution.
After-Loss Behaviour
Trading Pace
Planned vs Unplanned
Session Profit Giveback
Session Periods
Trading Costs
What You're Doing Well
Journal Experiments to Test
Historical What-If Simulation
Historical filtering is not a prediction of future results and may suffer from selection bias.
Earlier vs Recent Period
Metric Coverage
What Is an Overtrading Detector?
An overtrading detector is a trading-journal analyzer that looks for evidence such as faster re-entry after losses, weaker later trades, higher activity on losing days and profit giveback after a session peak. It cannot determine intent or diagnose a psychological condition.
How the Tool Detects Possible Overtrading Patterns
Your own journal establishes the baseline. The tool compares lower- and higher-activity sessions, early and later trades, winner- and loser-conditioned re-entry times, planning labels, position size and supplied transaction costs.
Signals the Tool Analyzes
- Trade-frequency deterioration
- Post-loss acceleration
- Continuation after consecutive losses
- Planned versus unplanned performance
- Late-trade deterioration
- Position-size escalation
- Session peak-P&L giveback
How to Use the Overtrading Detector
- Export a CSV journal without unnecessary personal information.
- Map your columns and review validation messages.
- Analyze valid rows and inspect the evidence behind the score.
- Test journal experiments on future data rather than treating historical filters as predictions.
Is More Trading Always Overtrading?
No. High-frequency strategies can legitimately produce many trades. The relevant question is whether your own journal shows deterioration, loss-conditioned acceleration, planning breakdown or increasing costs as activity rises.
Frequently Asked Questions
What is overtrading?
Overtrading generally describes excessive activity relative to a trader's plan, process or edge. A journal can show related patterns but cannot prove intent.
How many trades per day is overtrading?
There is no universal number. This tool uses your distribution and performance rather than a fixed threshold.
Can profitable traders still show overtrading signals?
Yes. A journal can be profitable overall while later trades, rapid post-loss entries or unplanned trades show weaker results.
Is trading after a loss always revenge trading?
No. The tool reports timing and outcome patterns but does not infer emotion or intent.
Does the tool store my trading journal?
No. This V1 reads and analyzes CSV data in your browser tab and does not permanently store journal rows.
Can I upload Zerodha, Angel One or Upstox journals?
Yes, when exported as CSV with trade date and P&L columns. Column mapping handles common heading variations.
Does the tool give trading advice?
No. It provides educational journal analysis and historical evidence only.