What is SMA (Simple Moving Average)?

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 SMA (Simple Moving Average) shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

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

Reliance Industries perspective

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

Bank Nifty futures perspective

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

Common pitfalls

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

How to use this in TradeLyser

Screenshot SMA slope at entry; review trades above vs below SMA monthly.