Learn Trading with TradeLyser | AI Journal, Strategies & Analytics Guides

Most Indian traders do not lack indicators — they lack a repeatable feedback loop. TradeLyser Learn is a library of practical guides for building that loop: an AI-assisted trading journal with automated broker sync, strategy tags, analytics, and review rituals tuned to NSE and BSE session hours. These lessons are not signals or financial advice; they teach process so you can see what you did, whether it matched your plan, and what to change next week.

AI trading journal for India

An AI trading journal for India must do three things spreadsheets rarely handle: pull fills from brokers retail traders actually use, tag trades by setup and session context, and summarise patterns on a schedule you control. TradeLyser syncs Indian brokers, stores rupee max-loss and discipline fields alongside P&L, and lets Elysia AI score behaviour on top of your notes — as prompts for Friday review, not as buy or sell orders. If AI highlights revenge trading on expiry Thursdays, you verify that in your journal before changing rules.

Automated broker sync

Manual CSV exports die on busy weeks. Automated broker sync pulls closed trades into one log so tagging and review stay current. Connect your platform from the supported brokers page, confirm the first import matches your contract notes, then tag during the session — not from memory on Sunday. CSV import still works for paper trades or brokers without API access; the rule is the same: backlog beyond five sessions biases reviews.

NSE and BSE session context

Cash and derivatives on NSE and BSE share a 9:15–15:30 window but behave differently across opening drive, lunch lull, and close. Expiry weeks on index derivatives compress time and raise gamma risk — your journal should tag those sessions separately from ordinary weeks. Rupee max-loss per day is easier to respect than abstract percentages when the screen is red at 10:45. RBI policy days, budget sessions, and global gap opens belong in pre-market notes so later analytics do not misattribute a rule break to a bad setup.

Options and futures traders should start with the dedicated NSE F&O journal guide at NSE F&O journal guide — it covers expiry tags, lot size, STT, MTM stress, and weekly review for Nifty and Bank Nifty books without mixing those metrics into cash-equity tags. Cash-only traders still benefit from session tags for opening drive versus lunch chop, but F&O books fail fastest when structure and product type stay untagged.

Broker setup guides live at Broker setup guides — Zerodha, Dhan, and Fyers connection steps, first-import checks, and troubleshooting. The supported brokers listing at Supported brokers shows which platforms connect today. Confirm your account type, segment permissions, and historical import before week one. Sync quality beats speed: one clean month of tagged trades teaches more than a year of exports you never review.

Your first four weeks

• Week 1 — Connect sync or import last month of trades; read Getting Started; create one strategy tag; write three non-negotiable rules in rupees.
• Week 2 — Log mood on every trade; run your first Friday review using the trading journal weekly ritual; note one rule break type if any.
• Week 3 — Compare expectancy for that single tag only; open analytics guides for win rate and drawdown; do not add a second strategy until tagging is automatic.
• Week 4 — Introduce AI scores or mentor review as a second opinion; pick one change for next week; read the methodology weekly-review checklist to close the loop.

Five topic areas

Guides are grouped into five pillars so you can go deep without losing the map. Getting Started explains what TradeLyser is and how sync fits your workflow. Trading Journal covers daily entries, calendars, discipline scores, and F&O-specific logging. Strategies teaches fair comparison, sample size, and capital allocation per playbook. Analytics interprets P&L, equity curves, drawdown, and widgets on a Friday schedule — not intraday dashboard hopping. AI and Mentorship covers scores, recommendations, and coach workflows with human accountability intact.

Methodology, glossary, and brokers

Use the methodology hub at Methodology when you need the system map — how journals, strategies, rules, insights, and weekly review connect as one loop. Use the glossary at Glossary when a term like expectancy, theta, or max drawdown needs a one-page definition with Indian examples. Use Supported brokers to confirm your platform before week one. Product feature pages cover clicks and settings; Learn covers habits and interpretation.

If you read only one methodology page after Getting Started, choose weekly review — it is the fifteen-minute Friday ritual that prevents green weeks from hiding rule breaks and red weeks from triggering five simultaneous “fixes.” Learn articles go deeper on each skill; methodology tells you where that skill sits in the loop.

Who these guides are for

• Retail traders on NSE and BSE who want a journal that stays in sync with their broker.
• Active traders running one to three live setups who need per-strategy metrics, not blended win rate.
• F&O traders who must separate expiry sessions, structures, and cash books in analytics.
• Mentors reviewing permissioned journals without screenshot chains.
• Traders restarting after drawdown who need evidence before scaling size again.

When learning stalls

• Reading guides without logging — process debt compounds into untagged trades.
• Adding a second strategy before the first tag has twenty closed trades.
• Opening dashboards hourly instead of on the Friday checklist.
• Treating AI summaries as orders instead of questions to verify in notes.
• Skipping the methodology weekly review because the week was green.

Reading paths by trader type

Intraday Nifty or Bank Nifty traders should finish Getting Started, then trading journal weekly review, then analytics win rate and drawdown guides before touching AI scores. Expiry-heavy F&O books add the NSE F&O journal guide in week one and tag expiry sessions before any strategy comparison. Swing cash traders can prioritise strategies comparison after two weeks of clean tagging — sample size builds slower, so resist deleting a playbook after five trades. Mentors should read AI and mentorship guides plus methodology weekly review, then require mentees to complete journal pillar flagships before shared permissions.

Restarting after drawdown? Read equity curve and drawdown review, track discipline score, and compare journal entries across your last green and red months before changing entries. Capital preservation comes from process evidence, not a new indicator pack.

How these guides are written

Every Learn article is long-form editorial content — typically 1,500 to 2,200 words — written for Indian market context with rupee risk, NSE and BSE session structure, broker sync, and F&O expiry rhythm woven in. Flagship guides per pillar go deepest; supporting guides focus on one skill such as calendar review, tag hygiene, or mentor permissions. Content is reviewed by the TradeLyser content team and updated on a published schedule; see editorial policy for standards on accuracy and independence.

Guides link to methodology for the system map, glossary for single-term definitions, and product pages for settings — Learn teaches habits and interpretation, not button tours alone.

Broker sync in practice

Supported brokers include platforms Indian retail traders use daily — see Zerodha, Dhan, and Fyers integration guides on Supported brokers for setup specifics, segment permissions, and first-import checks. After connect, reconcile one full session manually: trade count, symbols, and charges should match contract notes before you trust analytics. Auto-sync fails gracefully when you fix gaps weekly; it fails permanently when you ignore gaps for a month and blame the strategy instead of the data.

• Confirm equity vs F&O segment imports match how you trade.
• Tag during or immediately after session — not Sunday from memory.
• Keep CSV path ready for paper trades or unsupported segments.
• Run first Friday review only after one clean tagged week.

AI boundaries on Learn

Elysia scores and recommendations summarise your logged behaviour — they do not predict opens on Nifty or Bank Nifty. Learn articles on AI teach verification workflows: open Strategy Board, read trades behind the card, accept or reject with one written reason, implement at most one change per week. AI without tagging hygiene produces confident noise; tagging without review produces archives. The loop requires both.

Pick your starting pillar

New to TradeLyser? Start in Getting Started, connect a broker, then open the trading journal pillar for your first Friday review. Already journaling in spreadsheets? Jump to Strategies or Analytics once sync is live. F&O-only books should read the NSE F&O journal guide before any other trading-journal article. Every pillar page opens with context on who it serves, which flagship article to read first, and how it links back to the methodology loop.

Work one pillar per fortnight if time is limited — depth beats skimming all sixteen guides in a weekend. The recommended path on this page lists five flagship articles in order; treat it as a syllabus, not a race.