Axis Bank Limited
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Axis Bank | Gann Square of 9 Intraday Observation | 06/04/2023

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Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.

Symbol: AXISBANK (NSE)
Date Observed: 06 April 2023
Time Frame: 15-Minute Chart
Concept Studied:
Gann Square of 9 (Price–Degree Analysis)
This idea highlights an intraday observation of Axis Bank using the Gann Square of 9 framework to study how price behaved near calculated degree levels and how time and price alignment influenced market structure.

📊 Reference Point and Calculated Levels
  • During this session, Axis Bank initiated a downward move from a level near 863, which was treated as the 0-degree reference point for analysis.
  • Using Square of 9 conversion, the following level was observed:
  • 0 Degree: ~863
  • 45 Degree: ~848
  • These calculated levels represent structured zones where the market may show pause, consolidation, or temporary shift in direction based on historical price behavior.


⏱️ Intraday Price Behavior and Reaction As the session progressed:
  • Price gradually moved downward toward the calculated 45-degree zone
  • Around 14:15, the market reached a low near 849, which was very close to the observed 45-degree level
  • Near this zone, price showed temporary stabilization and upward movement
  • The upward move continued modestly, reflecting a limited intraday recovery
  • Such reactions near calculated degree levels are commonly observed and may indicate areas where price temporarily balances before the next move develops.


📘 Educational Observations
  • Gann Square of 9 helps define measured price zones for structured observation
  • These levels should be viewed as potential reaction zones, not guaranteed reversal points
  • Minor variation around calculated levels is part of normal market behavior
  • Time of arrival at a degree level may influence how price responds afterward
  • Not all reactions lead to large moves, which highlights the importance of disciplined observation



This example demonstrates how Gann-based price-degree analysis can be used to study intraday market structure in an objective and rule-based manner.
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