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Technical Analysis
Updated 2025-06-04·Editorial policy·Trading system

What is Death Cross?

Death cross is shorter MA crossing below longer MA — opposite of golden cross.

Formula

Death Cross Formation: Before (Bull Market): 50 MA: ₹18,000 (above) 200 MA: ₹16,000 (below) Price: Starting to decline Transition: 50 MA falling as price drops 200 MA starting to flatten Gap narrowing daily Death Cross: 50 MA: ₹16,500 200 MA: ₹16,500 50 MA crosses below 200 MA After (Bear Market): 50 MA: ₹15,000 (below) 200 MA: ₹16,200 (above)

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 Death Cross shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Death Cross on Nifty (24,300): on the 15-minute chart, combine with session VWAP and 9:15–10:00 liquidity — index death cross signals misfire on expiry Tuesdays without volume confirmation.

Reliance Industries perspective

Death Cross on Reliance at ₹1,300: daily vs hourly settings diverge around results and ex-dividend dates; note corporate events in journal when death cross readings spike.

Bank Nifty futures perspective

Death Cross on Bank Nifty futures (55,000): first-hour signals differ from post-14:30 behaviour; avoid standalone entries when banking names lead the move.

How to validate

  • Forward-test Death Cross on paper or sim for two weeks after rule changes.
  • Validate only on trades where Death Cross settings matched the written playbook.
  • Split results by trending vs range weeks on Nifty before trusting the signal.
  • Require higher-timeframe bias agreement if that is part of your rule.

How to track in TradeLyser

  • Add Death Cross reading to trade entry notes (value + timeframe).
  • Create tags: “Death Cross aligned” / “Death Cross ignored”.
  • Monthly: filter trades by alignment tag and compare win rate and avg R.
  • Screenshot chart context for mentor review on disputed trades.

Best practices

  • Combine Death Cross with higher-timeframe bias — not as a lone trigger.
  • Avoid curve-fitting settings on less than three months of tagged data.
  • Refresh playbook screenshots when changing Death Cross parameters.
  • Skip trading when Death Cross conflicts with written risk limits.

Common pitfalls

  • Treating Death Cross as a guaranteed reversal signal.
  • Optimising parameters on one bullish month only.
  • Trading against higher-timeframe bias because Death Cross “said so”.
  • Failing to log when you overrode Death Cross discretionally.

How to use this in TradeLyser

Note death cross dates in weekly macro journal; reduce size if plan says so.

Related terms

FAQ

Short on death cross?

Trend followers may exit longs; shorting needs own stats.

Whiplash crosses?

Chop markets produce many — use ADX filter.

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