What is Gap Fill?
Gap fill hypothesis: prices revisit pre-gap reference — partial or full fill.
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 Gap Fill shows up on Indian index, equity, and futures books — update to live quotes in your journal.
Nifty 50 perspective
Gap Fill on Nifty (24,300): on the 15-minute chart, combine with session VWAP and 9:15–10:00 liquidity — index gap fill signals misfire on expiry Tuesdays without volume confirmation.
Reliance Industries perspective
Gap Fill on Reliance at ₹1,300: daily vs hourly settings diverge around results and ex-dividend dates; note corporate events in journal when gap fill readings spike.
Bank Nifty futures perspective
Gap Fill 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
- Validate Gap Fill fills against broker contract notes monthly.
- Measure median slippage in points/₹ for Gap Fill 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 Gap Fill fills worse than expected.
- Monthly slippage report by symbol and order type in analytics.
- Reconcile with broker order log quarterly.
Best practices
- Choose Gap Fill 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 Gap Fill already moved.
- Using limits on fast Bank Nifty breaks without timeout rules.
- Not recording partial fills — skews performance stats.
- Assuming broker fills match intended Gap Fill every time.
How to use this in TradeLyser
Log gap % at open and fill outcome; review by gap size bucket monthly.
Related terms
Day trading opens and closes positions within the same session, avoiding overnight gap risk on cash products.
A price gap occurs when the market opens significantly above or below the previous close without trading through the interval.
Gap trading uses opening gap size and context to trade continuation or fade strategies.
Opening range records session extremes over set window (e.g. 15 minutes post 9:15).
FAQ
Full vs partial fill target?
Define in playbook — changes R profile.
Fade gap on news day?
Higher risk — tag catalyst.
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