Banknifty - Expiry Day - Expected Levels - 31st Jul'25

 

Disclaimer: This analysis is for educational and informational purposes only. It is not financial advice. Trading in financial markets involves significant risk, and you should consult with a qualified financial advisor before making any investment decisions.

Important Preliminary Disclaimer

Intraday price movements are extremely volatile and subject to high degrees of randomness ("noise"), news events, and opening gaps. The following models are purely mathematical and based on the recent historical 5-minute price data. They are excellent for identifying micro-trends and momentum but are incapable of predicting overnight news or opening gaps. The predictions below assume a continuous market and should be interpreted as the likely initial trajectory at the market open, not as a guaranteed price level. They are for educational purposes and are not financial advice.


Intraday Chart Analysis & Data Preparation

A visual inspection of the 5-minute chart reveals a clear story:

  1. Macro Downtrend: The period from the 24th to the 28th shows a strong, persistent downtrend.

  2. Bottoming & Reversal: On the 29th, the price found a bottom around 55,900 and began a sharp intraday reversal.

  3. Consolidation/Stall: This recovery stalled near 56,300 on the 30th. Since then, the price has entered a tight sideways consolidation range with a slight downward drift, ending the session near 56,150.

For our models, we will use the last ~12 five-minute closing prices from the end of the session on the 30th. This data is characterized by a slow, grinding decline from ~56,250 to 56,150.


Model-Based Prediction for the Next 6 Trading Hours

"Next 6 trading hours" essentially refers to the next full trading session. These models will forecast the initial direction based on the momentum at the previous close.

1. Linear Regression

  • Basis: This model fits a straight line through the recent 5-minute data points. We'll consider the last 2-3 hours of data (around 24-36 candles).

  • Analysis: The price action in the last few hours on the chart shows a clear, albeit gentle, negative slope. The price consistently made lower highs and lower lows within a very tight range. A linear regression line fitted to this data will point downwards.

  • Predicted Trajectory: The model will simply extend this gentle downward line into the next session. It predicts a continuation of the slow grind down from the closing price.

    • Predicted Range (Initial Hours): 56,100 - 56,130

  • Limitations: Highly susceptible to opening gaps. An opening outside of its narrow projected path renders the forecast immediately obsolete. It does not understand concepts like support or resistance.

2. Exponential Smoothing

  • Basis: This method gives more weight to the most recent 5-minute candles. It's more responsive to the immediate momentum than a simple linear regression.

  • Analysis: Since the last several candles at the end of the day showed weakness and a drift towards the low, the model will heavily weigh this end-of-day selling pressure. It will interpret this as the most likely immediate path for the price.

  • Predicted Trajectory: The forecast will be more bearish than the simple regression because it gives more importance to the weak closing candles. It expects the negative momentum to carry over.

    • Predicted Range (Initial Hours): 56,080 - 56,120

  • Limitations: While more adaptive, it is still purely backward-looking. It is simply forecasting based on the "mood" at the market close, which can be easily reset by overnight factors.

3. ARIMA (Autoregressive Integrated Moving Average)

  • Basis: On an intraday chart, ARIMA models the "micro-structure" of price movements. It looks at the sequence of small up and down moves (the "differences" between candles) and uses this pattern to forecast the next few candles.

  • Analysis: The recent data for the model is a series of small, negative changes (e.g., -5 points, -10 points, -5 points). The Autoregressive (AR) part of the model will recognize this pattern of consistent negative returns. The Moving Average (MA) part will factor in the small, consistent forecast errors. Both components will point towards a continuation of this pattern.

  • Predicted Trajectory: The model will predict that the next few 5-minute candles will also likely post small negative returns, continuing the grind downwards from the close.

    • Predicted Range (Initial Hours): 56,110 - 56,140

  • Limitations: ARIMA is designed for stationary series and struggles with the abrupt regime changes common in intraday trading (e.g., a sudden volume spike or a news-driven move).

4. SARIMA (Seasonal ARIMA)

  • Basis: This is an extension of ARIMA that incorporates intraday seasonality. For a 5-minute chart, a typical seasonal period would be m=75 (75 five-minute candles in a 6hr 15min trading day). This allows the model to learn patterns like "weakness during lunch hour" or "strength in the first hour."

  • Analysis: The price action shows weakness into the market close. A SARIMA model might recognize this as a potential "end-of-day" pattern. Its forecast for the next day's open will be a combination of this seasonal understanding and the immediate ARIMA-based momentum. If end-of-day weakness does not historically correlate with weakness at the next open, the seasonal component might temper the bearish forecast. However, the immediate non-seasonal momentum is strongly negative.

  • Predicted Trajectory: The forecast will be largely driven by the ARIMA component. It will predict a weak opening, reflecting the negative momentum from the previous close. The seasonality might slightly adjust this but is unlikely to reverse it.

    • Predicted Range (Initial Hours): 56,100 - 56,130

  • Limitations: Building a reliable SARIMA model requires a lot of clean data to properly identify intraday seasonal patterns, which can themselves change over time.


Summary and Conclusion

ModelBasisPredicted Range (Initial Hours)Key Takeaway
Linear RegressionGentle downward trend line56,100 - 56,130Projects the slow end-of-day grind.
Exponential SmoothingWeighting recent weak candles56,080 - 56,120Emphasizes the selling pressure at the close.
ARIMAMicro-trend of small negative returns56,110 - 56,140Predicts continuation of the immediate pattern.
SARIMAARIMA + Intraday Patterns56,100 - 56,130Confirms weak outlook based on end-of-day momentum.

Overall Conclusion from Models:

All the statistical models, based on the weak price action at the end of the trading session, provide a consensus forecast for a flat-to-negative opening for the next trading day. They are all picking up on the same signal: the buying momentum that drove the price to 56,300 has faded, replaced by a slow, bearish drift.

Integrating with Technical Context:

  • The models are forecasting a move directly towards the immediate intraday support around 56,100.

  • The more significant support level from the previous day's low is at 55,900.

  • A gap down opening below 56,100 would align with these models and suggest a test of 55,900 is likely.

  • Conversely, a gap up opening above the consolidation high of 56,300 would completely invalidate the models' short-term momentum-based forecasts and would signal that buyers have regained control overnight.

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