Axis Bank | Understanding Gann Numbers with Gann Square of 9 Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Observing Gann Numbers on the Chart
This educational chart study explains how Gann Numbers can be derived using the Gann Square of 9 framework and how these calculated levels can help traders observe price interaction with mathematically structured zones.
The example uses historical intraday data from Axis Bank Ltd. dated 13 April 2022.
Price was converted into degree values using the Gann Square of 9 approach to identify reference levels where price behaviour might show temporary reactions.
The objective of this study is to demonstrate how traders analyse price–degree relationships rather than making directional predictions.
Pre-Calculated Gann Degree Levels (Downside Reference)
Using price-to-degree conversion, the following Gann reference levels were calculated:
0 Degree: ₹805
45 Degree: ₹791
90 Degree: ₹777
135 Degree: ₹763
180 Degree: ₹749
These levels represent structured zones where the market may sometimes display temporary pressure, hesitation, or balance depending on overall market conditions.
Observed Market Behaviour
During the session on 13 April 2022, Axis Bank began moving downward from the reference area near ₹805.
While analysing the price movement:
• The market travelled toward the 45-degree level near ₹791
• Around this zone, price behaviour showed temporary stabilization and intraday hesitation
• Historical observation suggests that such calculated zones can sometimes act as potential reaction areas
These interactions help illustrate how Gann numbers can serve as reference points when studying market structure.
Understanding Gann Numbers
In the context of Gann theory, Gann Numbers are price levels derived through mathematical relationships using tools such as the Gann Square of 9.
When price approaches these calculated levels:
• Market momentum may temporarily slow down
• Price can show hesitation or short-term balance
• Traders observe how the market behaves around these zones to understand structural price movement
The goal is structured observation, not prediction.
Time Observation in This Example
Some traders also analyse the relationship between price movement and intraday time progression.
During this session:
• Price approached the calculated degree level within regular trading hours
• Market behaviour showed temporary pressure near the projected zone
• Such observations highlight how price, time, and degree relationships can occasionally align in intraday charts
Educational Insights from This Case
This historical example highlights several key learning points:
• Gann Numbers are derived from structured mathematical relationships
• Degree levels can highlight potential reaction zones
• Price may sometimes stabilize or hesitate around calculated levels
• Not every projected level leads to extended movement
• Studying these interactions helps improve disciplined chart analysis
Why Traders Study Gann Numbers
Understanding mathematically derived levels can help traders:
• Observe structured support and resistance zones
• Identify potential reaction areas on charts
• Study how price behaves near calculated levels
• Improve patience and discipline in technical analysis
These observations are useful when learning how markets sometimes respond to geometric price structures.
This study is shared purely for educational purposes using historical market data.
