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How to View and Analyze Your Equity Curve in TradeLyser

The equity curve is a line chart of your cumulative profit and loss over time—each closed trade nudges the line up or down, revealing whether your edge compounds or whether volatility and drawdowns dominate. In TradeLyser, the equity curve connects journal data, broker sync, and report filters into one visual story: growth, stagnation, crash, and recovery.

Traders who only stare at monthly P&L miss sequence risk: two months with +₹50k can hide a -₹30k drawdown in between. This guide shows where to find the equity curve, how to read slope and smoothness, pair it with Maximum Drawdown, and act on warning signs.


What the equity curve represents

TradeLyser plots cumulative net P&L (after fees where included in trade rows) on the Y-axis vs time on the X-axis—usually by exit date or trade close sequence depending on report settings.

Chart elementMeaning
Upward slopeNet profitable period over window
Flat segmentBreakeven stretch or no closed trades
Downward slopeLosing streak (drawdown in progress)
PeakHighest cumulative equity so far
Valley after peakDrawdown phase—depth in max drawdown

The curve is not live mark-to-market broker equity unless open positions are included in your report configuration—confirm scope in report settings.


Where to find the equity curve

Reports → Performance

  1. Sidebar → Reports (or Analytics).
  2. Open Performance or P&L section.
  3. Select Equity Curve chart tab if multiple visuals exist.
  4. Set date range and account (switch accounts).

Dashboard widgets

Some templates include a mini equity or performance chart widget—add via dashboard widgets if missing.

After changing data

New synced trades reshape the curve—if flat, verify Trades Not Syncing and Missing Trades.


Step 1: Set report scope

Before interpreting shape:

  1. Date range — Last 90 days for tactics; 1–3 years for regime view.
  2. Account — Single broker vs All Accounts.
  3. Tags filter (if available) — e.g., only live-funded excluding paper.
  4. Calculation method — FIFO vs weighted average shifts historical P&L (calculation method).

Mismatch with broker statements? Start with Incorrect P&L.


Step 2: Read the curve shape

Healthy patterns (process goals)

  • Gradual upward drift with acceptable pullbacks
  • Shallow valleys relative to prior peak
  • Quick recovery after losses—V-shaped rebounds
  • Smoothness improving over quarters as rules tighten

Perfection is rare; trend beats single-month lottery wins.

Warning patterns

  • Long flat or declining sections while still trading actively
  • Deep cliffs—few trades erase large portion of peak
  • Sawtooth with no new highs—churn and fees bleeding edge
  • Stair-step up, elevator down—classic over-leverage signature

Pair cliffs with max drawdown percentage and discipline rules.


Step 3: Annotate mentally with journal data

Click into drawdown periods on the timeline:

  1. Filter trades log to those dates.
  2. Sort by largest losses.
  3. Read tags and star ratings—was it setup failure or execution failure?
  4. Cross-check daily journal entries.

Equity curve tells when; tags and notes tell why.


Equity curve vs other metrics

MetricQuestion answered
Equity curveHow did capital evolve over time?
Win rate% winners—not magnitude
Average RSize of wins vs losses
Max drawdownWorst peak-to-trough decline
Tag performanceWhich setups contribute

Use together in Generate Reports and P&L Analysis.


Compare periods and strategies

  1. Run curve for Q1 vs Q2 with identical filters.
  2. Tag-filter two strategies—compare two curves if UI supports side-by-side or export CSV and chart in Excel (export filtered).
  3. Compare Periods for tabular complement.

Ideal vs realistic expectations

Retail Indian intraday curves are jagged—liquidity events, gap risk, and size changes add noise. Judge:

  • Are new highs occurring over months?
  • Are drawdowns within your written limit?
  • Does curve improve after rule changes in discipline diary?

Avoid comparing your week-one curve to a influencer’s cropped screenshot.


Action playbook by curve signal

Stagnant flat line

  • Reduce frequency; focus A+ setups only.
  • Review tag performance for negative expectancy tags.

Deep drawdown valley

  • Enforce max daily loss rule.
  • Halve size until 5 green days or paper trade.
  • Read max drawdown thresholds.

Parabolic rise

  • Check for oversized risk or lucky streak—rate trades honestly (rate trades).
  • Bank profits per your plan; do not scale recklessly.

Recovery after valley

  • Document what changed—setup filter, sleep, market regime.
  • Replicate process, not luck.

Mobile viewing

Open reports in landscape on phone (mobile access). Curve interaction may be simpler on desktop for zooming specific drawdown windows.


Benchmarking your curve (informal)

You cannot compare your rupee curve to another trader’s screenshot without context, but you can benchmark against yourself:

BenchmarkQuestion
Prior quarter curveAm I making new highs faster or slower?
Pre-rule-change vs postDid discipline rules flatten drawdowns?
Tag-filtered curveDoes one setup carry most upside?
Paper vs liveAm I ready to scale live capital?

Export underlying trades and plot in Excel if you need custom benchmarks (export filtered).


Troubleshooting

Flat curve with many trades

  • All breakeven net of fees—check fee columns.
  • Wrong date filter (future dates empty).
  • Wrong account selected—switch accounts.

Curve disagrees with broker

Chart not loading

Spike then drop single day

  • Large loss trade or split corporate action trade—inspect trade detail row.

Open positions excluded

  • Expected if report is realized only—closed trades drive curve.

Frequently asked questions

Does equity curve include charges?

Yes when trade rows store fees/taxes—verify sample trade detail.

Intraday vs positional?

All closed trades in scope; hold duration affects smoothness not inclusion.

Can I export curve data?

Export trades and build cumulative sum in Excel; some plans export series—check Reports export.

Paper trading curve?

Filter paper account or paper tag.

How often to review?

Weekly glance, monthly deep dive with journal.

Curve vs broker fund statement?

Broker shows cash + holdings; TradeLyser shows trading P&L journal—related but not identical.

Mentee curve?

Mentee sees granted scope only.

AI analyze my curve?

AI features may summarize trends—accuracy depends on clean tags and complete sync.

Show drawdown on same chart?

Often paired—toggle drawdown overlay in Performance reports.

Equity curve for single tag only?

Apply tag filter before opening Performance if supported in your build.


Reading your equity curve across Indian market cycles

Your equity curve is the cumulative story of closed trades—not live MTM on open F&O positions. After a volatile budget week, RBI policy day, or monthly expiry, the curve may show a sharp valley even when your broker fund statement looks flatter because unrealized risk sat elsewhere. Align the report date filter with the week you are debating in daily journal entries.

Compare curve slope before and after you changed calculation method or imported historical CSV from import Zerodha history—method changes reshape the line without changing broker cash. Tag filters help separate Bank Nifty expiry scalps from cash swing books so you do not misread a good equity month hidden inside one bad tag cluster. When the curve flatlines, verify missing trades for the gap dates. Pair visual review with max drawdown to see depth and recovery time, then drill losing clusters via filter by date on the trades log.

If you teach or mentor, screenshot the curve with account scope visible so viewers know whether the line is consolidated or single-broker. Combine with compare periods when judging whether a new risk rule improved the slope over eight weeks.

A flat equity line with rising trade count often means breakeven churn—open tag performance to see which setup pays the slope. A steep rise with shallow pullbacks suggests favorable regime or sizing; validate that you did not drop fees in settings before celebrating. Export the underlying month via export filtered when you need to audit the exact trades behind a cliff on the chart.



Quick reference

Open: Reports → Performance → Equity Curve → set date + account

Read: Slope, depth of valleys, time to new highs

Act: Filter drawdown dates → tags/notes → risk rules

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