You find out after the damage
A student quietly spirals across multiple accounts. By the time they message you, the evaluation is blown and the conversation is about recovery, not prevention.
MentorTape turns student trade exports across every account into a prioritized weekly coaching workflow — who needs attention, what changed, what the evidence says, and what to follow up on next.
Discord, screenshots and occasional calls work for a few traders. At cohort scale, mentors and community owners are forced to react late — and the students who need help most are often the least likely to ask.
A student quietly spirals across multiple accounts. By the time they message you, the evaluation is blown and the conversation is about recovery, not prevention.
You spend the first half of every call reconstructing what happened from screenshots, partial journals and memory instead of coaching the actual pattern.
You know the coaching helps, but the actions, follow-ups and changes are scattered across calls, messages and spreadsheets.
MentorTape is organized around how serious mentors actually work: a weekly group rhythm, focused student check-ins, and enough context to continue from the last conversation instead of starting from zero.
Urgent and watch students rise above the full roster, with risk, recent direction, upload freshness and coaching context visible together.
Cross-account patterns are translated into plain coaching language with the relevant evidence, impact and accounts attached.
Open the student case file and the current condition, flagged issue, account context and call agenda are already together.
Keep the free-form note, agreed action, rule, review date and call history beside the data for the next coaching checkpoint.
The mentor starts with priorities, scans the complete roster when needed, opens a student case file, and records the next action in the same workflow.

See who needs attention first, why they were surfaced, the likely impact and the fastest next action.

Search, filter and compare students, then open a quick-preview drawer without expanding a giant page or losing your place.

Current condition, the highest-impact issue, supporting evidence, accounts in scope and the call-prep summary live in one focused workspace.

Keep the mentor’s free-form note while adding just enough structure to remember the action, review date and progress at the next checkpoint.
MentorTape reads CSV, XLSX and copied tables through a generic column-classification pipeline. It previews detected accounts, trades and reconciliation totals before anything is saved.
The product keeps the platform-reported figure separate, then shows fees and after-fee P&L only where fee coverage is complete.
Duration is parsed from supplied values, entry/exit timestamps or reconstructed fills. Missing coverage is shown rather than silently treated as zero.
Detected accounts, date range, trade counts and P&L reconciliation are visible before the import is committed to the student record.
Behavior is analyzed account-first, then promoted across accounts only when the evidence repeats — one copied decision is not treated as five separate mistakes.
The beta is designed around a cohort-level mentor plan. Students join the mentor’s workspace without needing a separate paid journal seat.
No. Students upload platform, broker or spreadsheet exports. MentorTape does not require their trading password to analyze the history.
No. P&L is context. The product brings cross-account behavior, coaching priorities, student evidence, notes and follow-up actions into the same workflow.
Trading mentors, educators and communities with roughly 20–200 active students who currently review performance through Discord, spreadsheets, screenshots or individual journals.
Yes. Multi-account analysis is a core use case. The product separates evaluations, funded accounts and inactive accounts while also detecting behavior across them.
Every import is previewed with account, trade count, date range and P&L reconciliation. Coverage states are shown when fees or duration cannot be established confidently.
We onboard one real cohort, validate the import workflow against the formats students use, and fit the coach queue and student review flow around the mentor’s actual calls and check-ins.
No. It reduces the time spent finding and reconstructing problems. The mentor still decides what the pattern means and how to coach the student.
Bring one real cohort. We will validate the formats your students use, build your weekly coach queue, and fit MentorTape around your group calls and individual check-ins.