What is Bear Market?

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Bear Market shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Bear Market in Indian context at Nifty 24,300: apply SEBI/regulatory framing where relevant and tag index trades separately in weekly review.

Reliance Industries perspective

Bear Market using Reliance at ₹1,300 as a liquid large-cap example — adjust numbers to your live quote and contract note.

Bank Nifty futures perspective

Bear Market with Bank Nifty futures at 55,000 — respect lot size 30 and quarterly vs monthly contract rules on NSE.

How to validate

• Validate Bear Market fills against broker contract notes monthly.
• Measure median slippage in points/₹ for Bear Market on Bank Nifty vs mid-caps.
• Flag sessions with abnormal rejections or partial fills for separate review.
• Compare limit vs market tags only on symbols with similar liquidity.

How to track in TradeLyser

• Record order type, limit price, fill price, and latency on the trade.
• Tag “slippage > plan” when Bear Market fills worse than expected.
• Monthly slippage report by symbol and order type in analytics.
• Reconcile with broker order log quarterly.

Best practices

• Choose Bear Market before the move, not after FOMO entry.
• Default to limits on illiquid mid-caps; markets on urgent exits only.
• Log rejected orders — they reveal unrealistic limit discipline.
• Review slippage in R-multiples, not only rupees.

Common pitfalls

• Chasing with market orders after Bear Market already moved.
• Using limits on fast Bank Nifty breaks without timeout rules.
• Not recording partial fills — skews performance stats.
• Assuming broker fills match intended Bear Market every time.

How to use this in TradeLyser

Reduce size or restrict setups in bear regime per trading plan.