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

What is Parabolic SAR?

Parabolic SAR plots dots above/below price accelerating with trend — flip suggests reversal.

Formula

Dots below price = uptrend; above = downtrend

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

Nifty 50 perspective

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

Reliance Industries perspective

Parabolic SAR on Reliance at ₹1,300: daily vs hourly settings diverge around results and ex-dividend dates; note corporate events in journal when parabolic sar readings spike.

Bank Nifty futures perspective

Parabolic SAR 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 Parabolic SAR on paper or sim for two weeks after rule changes.
  • Validate only on trades where Parabolic SAR 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 Parabolic SAR reading to trade entry notes (value + timeframe).
  • Create tags: “Parabolic SAR aligned” / “Parabolic SAR 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 Parabolic SAR 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 Parabolic SAR parameters.
  • Skip trading when Parabolic SAR conflicts with written risk limits.

Common pitfalls

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

How to use this in TradeLyser

Tag SAR flip exits vs fixed stops; compare MAE on same setups.

Related terms

FAQ

SAR AF step settings?

Defaults are start — optimize only with long sample.

SAR on 1m scalps?

Often too noisy — test carefully.

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