The ultimate journal for disciplined traders. Track market breadth, analyze your psychology, and let our AI Coach refine your edge — one trade at a time.
Loved by disciplined traders across NSE
MARKET BREADTH — Live Pulse
Not a generic spreadsheet. Not an over-engineered SaaS. TradersLAB is purpose-built for the methodical NSE swing trader.
A dot-based Market Breadth tracker — Red, Green, and Orange — for your daily bias check at a glance.
Write notes on how stocks behave each day. Build market intuition you can't get from charts alone.
Journal your entry/exit rules per trade. Instantly know if you followed your system or let fear drive the trade.
An integrated AI assistant that studies your journal, identifies patterns, and suggests actionable improvements.
Tag every trade by setup, emotion, market condition or mistake. Filter, slice, and understand your edge deeply.
Build your trading identity with strategy blueprints, personal goals, and image-supported research notes.
A data-driven tool that projects your year-end P&L based on current win rate, R-multiple, and trade frequency.
View entry and exit chart images side-by-side in a specialized gallery for rapid visual review and pattern recognition.
Win Rate
54.2%
13W / 11L of 24 trades
Avg R Multiple
0.16R
per closed trade
Profit Factor
0.91
gross wins ÷ losses
Avg Win
₹1,846
per winning trade
Four simple habits that compound into a data-driven trading identity. No fluff — just process.
Start Your JournalCapture entry/exit details, confidence level, emotions, and chart images in under 2 minutes.
Record daily market breadth dots and behavior notes. Build a real-time picture of market conditions.
Use the Dashboard to spot patterns in your win rate, R-multiples, and emotional triggers. Let data speak.
Let the AI Coach analyze your journal and deliver personalized insights to sharpen your trading edge.
Stop guessing. Start building a repeatable process. TradersLAB turns raw trades into your personal trading blueprint.
Open My Trading LabNo credit card required · Single file · Works offline
