Trading Mentor Mode Guide

Trading improvement rarely happens in isolation. A mentor who has survived multiple Nifty regimes can spot revenge sizing, untagged impulsive trades, and “one more expiry lot” behaviour faster than a solo trader staring at the same green-red screen. The challenge is privacy: students need honest journals without exposing broker credentials, and mentors need enough visibility to coach process without becoming tip dispensers. TradeLyser Mentor Hub (Mentor Hub) connects coach and student with permissioned access — mentors review discipline metrics, strategy stats, and review habits, not stock picks for tomorrow’s open. This guide explains how mentor mode works, what good feedback looks like for Indian markets, and how to combine it with AI analytics without replacing human judgment.

What mentor mode is for

Mentor mode is structured visibility between two TradeLyser accounts: the mentee shares selected journal data; the mentor views trades, tags, notes, and performance summaries within granted permissions. It is built for process coaching — adherence to plan, quality of review, strategy-level statistics — not for signal groups that front-run SEBI advertising rules with “sure-shot” calls.

Product setup lives on Mentor Hub. This article covers operating norms: what to share, how often to meet, and how mentors should use Strategy Board and AI layers without overriding the student’s accountability.

Permissions and privacy

Students control what mentors see. Typical grants include closed trades, strategy tags, journal notes, and aggregate metrics — not broker login credentials. Revoke or adjust access when the coaching relationship ends. Mentors should never ask for passwords or direct trading access; coaching happens on reviewed data, not live account control.

• Mentee initiates invite and confirms scope before first shared review.
• Use separate strategies for experiments — mentors can see tag hygiene clearly.
• Sensitive personal notes can stay private if product settings allow field-level control.
• Document coaching boundaries in writing — process metrics yes, intraday calls no.

What mentors should review

Effective mentors anchor sessions on measurable process, aligned with the methodology pillars: journals (Journals pillar), strategies (Strategies pillar), rules (Rules pillar), and weekly review (Weekly review). Skip stock tips; open these instead:

• Tag completeness — untagged trades often hide impulsive volume.
• Max daily loss adherence in rupees — did the student stop when planned?
• Per-strategy expectancy and drawdown in Strategy Board (Strategy Board).
• Quality of pre-market and post-trade notes — context, not essays.
• Review cadence — did the student run the weekly checklist or skip after a green week?
• Rule violation clusters — size, time, or setup breaches logged honestly.

For F&O mentees, mentors separately review structure tags — short premium versus directional — so tail risk is not hidden inside a blended “options” bucket.

Suggested session structure

Fortnightly 30–45 minute reviews beat daily micromanagement. Daily chats create dependency and front-running pressure. A durable format:

• Mentee sends three bullets before call: one win on process, one miss, one question.
• Mentor opens shared dashboard — strategy stats and journal samples only.
• Pick one metric to investigate together (e.g. rolling expectancy on core scalp).
• Mentee commits to one change before next session — written in journal.
• Mentor logs feedback summary in shared note or mentee journal comment field.

Students should arrive with their own hypothesis; mentors critique and refine, not dictate entries on Bank Nifty.

AI analytics with mentor mode

Elysia summaries on AI analytics make good conversation starters — not verdicts. Mentors might say: “AI flagged concentration in one midcap; show me the trade list.” Together they verify in Strategy Board, then discuss whether the fix is symbol cap, tag discipline, or strategy pause. Never size up a mentee because “AI score improved”.

Share score trends plus raw discipline metrics. If the student rejected an AI recommendation, mentors ask why — rejected items with logged reasons are signs of mature judgment. Blind acceptance of every card is a red flag.

Examples of constructive feedback

Mentee responsibilities

• Sync or import trades within 24 hours — stale data wastes sessions.
• Tag honestly; hiding impulsive trades destroys trust and metrics.
• Complete weekly review checklist before mentor call.
• Implement one agreed change and report outcome next session.
• Speak up when feedback feels like stock tips — reset boundaries early.

Mentorship is not outsourcing discipline. The mentee still owns every click on the terminal.

When mentor mode is not the right fit

Skip or pause mentor sharing if the relationship becomes signal-based, if the mentor lacks verified process expertise, or if the student wants validation for impulsive size increases. Mentor mode excels when both parties treat the journal as the source of truth and the weekly review as the ritual — not when calls replace a written trading plan.

Scaling from one mentee to a small desk

Coaches with multiple students use consistent review templates: same metrics panel, same question list, same one-change rule. Group webinars can teach concepts; individual journal review stays private. Strategy Board comparisons help mentors spot common failure modes — untagged expiry trades, ignored rupee stop — across students without sharing identities between them.

Connect to the broader methodology

Mentor mode sits inside the full TradeLyser loop described on Methodology: capture in journals, isolate edges in strategies, enforce limits in rules, verify patterns in insights, close the week in review. Mentors who teach that map — not isolated hacks — produce students who survive regime change. Point mentees to Learn articles for depth on expectancy, AI usage, and strategy comparison; use mentor sessions to inspect whether lessons became habits.

Sample 30-minute mentor session agenda

Minutes 0–5: mentee sends weekly discipline average, worst day one-liner, and one accept/reject AI note. Minutes 5–15: open Strategy Board together on shared screen — rolling expectancy and drawdown for primary tag only. Minutes 15–22: read worst day journal entry — identify rule break vs regime. Minutes 22–28: agree one change for next week in writing. Minutes 28–30: schedule next session and confirm permissions still appropriate. No stock picks, no strike selection, no “should I buy Reliance tomorrow.”

What students should prepare before each review

• Friday checklist completed — methodology weekly review, not ad hoc memory.
• Tag audit: untagged closed trades under 10% of week volume.
• One compare sentence: this week vs last week on discipline or revenge tags.
• Written question for mentor — process-focused, not market-direction.
• Note any broker sync gap so metrics are not debated on bad data.

Coaching Indian F&O and cash books

Mentors working with NSE F&O students should verify product tags, expiry session notes, and rupee max-loss fields before discussing expectancy. Cash mentors should verify position count limits and earnings-week size rules. Mixed books without separation get generic advice that fails — insist on tag hygiene before depth coaching. RBI and budget weeks deserve explicit sit-out or half-size notes in the journal; mentors reference those notes instead of guessing whether the student “should have known” volatility was high.

SEBI advertising norms matter for coaches: process education and journal review are fine; guaranteed return language and live call front-running are not. Mentor mode is built for the former — documented habits, permissioned data, accountable students.

End every coaching relationship with an exit checklist: permissions revoked, decision log exported, student writes three habits they will continue solo. Mentor mode succeeds when the student no longer needs weekly calls because weekly review runs without applause.

Closing: process over picks

Mentor mode works when coaches review the same numbers the student will face alone on a red Monday: rolling expectancy, drawdown against rupee limits, tag integrity, and review streaks. Set up permissions on Mentor Hub, pair them with honest journaling, and use AI as a shared second opinion — verified in Strategy Board, grounded in Weekly review. The goal is a trader who no longer needs hand-holding on entries, because process runs without applause.

Red flags in mentor relationships

Leave or reset boundaries if a coach demands passwords, promises guaranteed returns, front-runs your live orders, or discourages written rules. Leave if sessions become stock tips without journal review. Mentor mode is for process — not signal groups with better branding. Students should revoke permissions the same day a boundary breaks.

Good mentors end calls with one homework line the student writes themselves — not three setups to watch tomorrow. Homework is process: tag audit, discipline log, compare sentence. That single line is how mentor mode compounds into independence. Students who cannot complete homework should shrink permissions until they can — coaching is not entertainment. Independence is the graduation metric, not call count, hours on Zoom, or any stock tips memorised from your last paid mentor coaching session ever again here.