Complete onboarding
Finish the onboarding flow first. It establishes the account context used by the workspace and its intelligence features.
Preparing your workspace
GraphMyTrade starts as a journal. Over time, that same journal can become your performance history, research base and behavioural reference. The more useful your record is, the more useful the rest of the workspace becomes.
What you can get from it
A clearer picture of where your money, risk and decisions are actually going.
Performance that can be reviewed as a journey, not just a final P&L number.
A better sense of which habits are helping and which ones keep showing up.
A record you can come back to when you want to review, compare or learn from a decision.
The easiest way to use GraphMyTrade
Record the decision → review the result → look for the pattern → improve the process.
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Start with a clean foundation. A few minutes of setup makes everything you record later more useful.
Finish the onboarding flow first. It establishes the account context used by the workspace and its intelligence features.
Configure the starting capital for the market you are going to journal. Market-aware capital keeps performance and risk interpretation meaningful.
Make sure the relevant broker context is available before entering trades so market-specific charges and trade context can be recorded correctly.
A richer journal is more useful than a larger trade count. Record the decision context: market, instrument, side, quantity, entry, exit, stop, target, setup, thesis, emotion and session where available.
GraphMyTrade is a journal and intelligence workspace, not a tool for increasing trading frequency. A well-documented no-trade decision can be useful evidence too.
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Get a quick feel for where to look each day — from your current trading picture to the history behind it.
Use the Dashboard for the current trading picture: activity, performance, risk, P&L, key metrics and areas that deserve attention.
Read performance day by day and across periods. Use it to understand the path of results rather than relying on a single total.
Use this page as the in-product manual. It explains what the workspace areas do, how they connect and when each feature becomes useful.
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This is where the actual trading record lives. Capture the decision, not just the numbers.
The Journal is the source record. Capture what you planned, what you did, the context around the decision and the result so later analysis has evidence to work with.
Use Enter Trade to create a market-specific trade record. Complete required fields before saving rather than leaving important decision context implicit.
Use Active Trades to manage open positions and then complete the lifecycle when the trade is closed so realised performance is recorded.
Use the dedicated option-premium workflow when that market-specific entry process applies. It is separate from the general journal flow because the data requirements differ.
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India, US, Crypto, Forex, CFD and Metals can live under the same account without losing their market context.
Use the India workspace for Indian-market trades and options. Keep capital, broker and trade context aligned with the Indian instrument you are recording.
Use the US market workspace for supported US instruments and keep its market context separate from other markets in the same account.
Use the Crypto workspace for crypto trades. Market-specific trade details stay part of the same account and journal architecture.
Use the Forex workspace for currency trades and its market-specific fields. Keep risk and execution context complete so later analysis remains comparable.
Use the CFD workspace for supported CFD trades and preserve its distinct market context.
Use the Metals workspace for supported metals instruments while keeping its market context distinct in your journal.
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Use the calculator that matches the market and the question you are trying to answer. No unnecessary clutter.
Calculators are organised by market so you can work with the formulas relevant to the instrument instead of forcing one generic calculation across markets.
Use Universal calculators for calculations that apply broadly across trading workflows.
Indian Market, Forex, Metals, Crypto, CFD and US Market calculators are kept separate so their inputs and formulas stay understandable.
Search for a calculator quickly and use favourites for the tools you use repeatedly.
Enter only the values relevant to the selected calculator. Results are intended to be read immediately, with the formula shown as a reference rather than as visual clutter.
Reset clears the current calculator inputs and Copy Result makes the calculated output easy to reuse elsewhere.
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Look beyond a single win or loss. These numbers help you understand how your results are really behaving.
Gross P&L describes the trade result before recorded charges.
Net P&L reflects the charges recorded for the trade and is the figure to use for account-level realised performance.
Risk amount comes from the planned risk fields. R multiple relates realised trade performance to that planned risk.
Win rate shows the share of profitable closed trades. Profit factor compares gross winning P&L with gross losing P&L.
Expectancy describes the average result per closed trade under the defined calculation. Drawdown describes the decline from a prior equity peak, helping you understand the path of performance.
Use the report area to choose a period and generate the available PDF or Excel report. Exports are scoped to the account and selected period.
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This is where your journal starts becoming useful in a different way: patterns, behaviour and process begin to show up.
Use the Intelligence hub to understand how recorded evidence is being interpreted. The value grows as the journal becomes richer.
A high-level score across key process dimensions. Read the dimension breakdown, not only the headline number.
A behavioural profile derived from observed trading evidence. It should describe patterns supported by the record rather than inventing personality labels.
A deeper analytical view that can surface context, strengths, weaknesses and recurring patterns in the recorded trading history.
Compare what you say about your process with what your journal evidence actually shows. Treat contradictions as review opportunities, not as punishment.
Review the process rules your trading history suggests you are following and how consistently the evidence supports them.
The decision-grade report brings performance, behaviour, evidence quality, context and recommendations into one place. Sparse history should be treated as early evidence, not a stable verdict.
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Research is for questions you want to investigate properly — not for creating a story from too little data.
Use Edge Intelligence to study repeatable decision evidence and identify where your recorded process appears stronger or weaker.
Explore emerging setups, contexts and conditions only when the available evidence is sufficient to make the comparison meaningful.
Use Quant Lab for deeper quantitative exploration. Keep the workflow clear: define the research question, enter or select the required inputs, run the analysis, then read the result before changing the next parameter.
Research sub-pages should always provide a clear way back to the parent research area so exploration never feels like a dead end.
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Revisit decisions, snapshots and behavioural changes from a wider view of your trading history.
Explore the broader trader state and market history from your journal evidence.
A reflective model of how your trading behaviour is evolving from accumulated evidence. It becomes more informative as the record grows.
Use historical snapshots to see how the trading state has changed over time.
Revisit recorded decisions in sequence so the context around entries and exits can be studied again.
Inspect historical decision states and compare what happened with what the record shows around that decision.
Universe features should reflect actual journal evidence. They are not substitutes for a trade record and should not create facts that are not present in the history.
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Build consistency around your process. Progress should make you a better recorder and reviewer, not a busier trader.
Use the daily question and task area to build a repeatable journaling and reflection habit. Existing reward values are configured separately and should be read as recognition, not as a reason to overtrade.
Missions should reinforce useful behaviour: journaling consistency, review quality, risk documentation and other process habits that can be observed from the record.
Progress is designed around days and recurring process behaviour, so a trader is not pressured to manufacture trades just to hit a number.
A documented decision to stay out can count toward a healthy process habit when the journal records why the market did not meet the trader's criteria.
Rewards recognise configured milestones and completed progression work. Existing reward amounts and entitlement rules are not changed by this guide.
Use the 30-day view to see whether you are showing up, documenting decisions and building a repeatable process over time.
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Share GraphMyTrade through the referral flow and keep track of eligible referral activity from the same account.
Use the referral area to share GraphMyTrade and track the referral flow associated with eligible plans and the account referral ledger.
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Your account, access, exports and security controls all live here. This is the place to manage the workspace around your trading.
Update your profile information and account identity so your workspace stays accurate and personal to you.
Review your current plan and see which tools, markets and deeper capabilities are available with your account.
Adjust the workspace preferences and account options that are available to you.
Download supported account-scoped trading data when you want to analyse it outside GraphMyTrade or keep your own records.
Create a focused review package when you want to share selected trading information without exposing unrelated account data.
Use the security controls to protect your account and manage credential or session-related settings. Never share passwords, access tokens or sensitive credentials through support messages.
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Keep important product messages visible without making the rest of the workspace noisy.
Use the Notifications area for direct product messages and relevant account information. The sidebar itself stays quiet; contextual discovery cues are intentionally rare.
Feature cues are shown only occasionally and only after meaningful journal evidence exists. A new user with zero journal history should not see a wall of New / Try / Explore labels.
For persistent issues, use Support and include the exact message, route and approximate time. This makes troubleshooting faster and clearer.
Administrators can inspect runtime, API, authentication, payment, database and deployment signals from the admin health area.
Transient read problems can be retried safely where supported. Financial mutations should not be blindly repeated because duplicate financial actions can be harmful.
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The longer you use GraphMyTrade well, the more useful its comparisons and analysis can become.
This is the part worth coming back to.
Your first few entries may tell you very little. A well-kept history gives the workspace something real to compare — and that is where the deeper features start getting interesting.
The more accurately you document decisions, the more grounded your performance review and intelligence outputs can become.
Early history should be treated as an observation set. The system should distinguish an emerging pattern from a stable edge.
GraphMyTrade should never encourage extra trades merely to complete a mission. The objective is a better record and better decision awareness.
A feature becomes interesting when the user's own history creates a reason to use it. This keeps discovery useful rather than sales-like.
The premium experience should feel like deeper analysis, richer comparisons and greater capability built on the same journal foundation—not constant upsell messaging.
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A simple daily rhythm is enough. You do not need to use every feature every day.
Check the relevant market context, planned risk, setup and thesis.
Close the record accurately, confirm the realised result and add the emotional/session context that matters for later review.
Record the no-trade decision when useful. Explain the reason so the day contributes evidence about selectivity and discipline.
Check the Dashboard or Calendar, then use Intelligence/Universe features when enough history exists to answer a useful question.
Complete missions or daily reflection only when they support the process. Never change your trading behaviour just to satisfy a counter.
GraphMyTrade works best when evidence comes before conclusions. Early history can show useful signals, but sparse data should not be treated as a fixed verdict or guaranteed edge.
When something goes wrong, send the exact message, route and approximate time. That gives Support enough context to trace the problem without a long back-and-forth.
Open SupportThis guide is meant to be read inside the product, in the same workspace as the features it describes.