Axis Bank | Intraday Price Behavior Using Square-Based GeometryDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Educational Case Study | 1 April 2024
This idea shares an educational intraday case study on Axis Bank, focusing on how price capacity and time awareness were observed using square-based geometric methods discussed in classical market studies.
The objective is to study historical chart behavior, not to suggest trades or outcomes.
📊 Chart Context
Instrument: Axis Bank Ltd. (NSE)
Date: 1 April 2024
Timeframe: 15-minute (Intraday)
During the early part of the session, Axis Bank showed upward movement. A structured framework was applied to observe how price interacted with predefined reference levels as the session progressed.
🔍 Observational Framework Used
The low of the initial intraday structure was treated as a reference point (around 1048)
From this reference, square-based projections were observed
A level near 1064 aligned with a 45-degree projection, often associated with normal intraday price reach in historical studies
A higher projection was noted only as a contextual boundary, not an expectation
All levels were considered potential reaction zones, not fixed resistance points.
📈 Observed Intraday Behavior
Price gradually moved toward the projected zone during the session
Near this area, the market showed temporary pressure and difficulty sustaining above the level
A short-term response was observed around the projected zone
Minor price variation around the level was consistent with normal market behavior
This observation aligns with how price has historically interacted with similar geometric areas.
📘 Educational Takeaways
Square-based geometry can help outline logical intraday price capacity
The 45-degree projection often acts as an area of interest, not a precise barrier
Time awareness adds structure when observing intraday movement
Small deviations around projected zones are normal and expected
This approach encourages rule-based observation rather than precision fixation
All insights are based on historical chart study only.
📌 Important Note
This case study is shared strictly for learning and research purposes.
Geometric levels and time windows do not guarantee outcomes and should be treated as contextual analytical tools.
Market behavior may include:
Temporary pauses
Short-term pressure
Continuation or expansion depending on broader structure
🚀 Summary
This intraday case study demonstrates how price geometry and time alignment can be used to observe market behavior objectively and systematically.
More educational chart studies will follow.
Gannangles
Axis Bank | Intraday Price Behavior Near Square-Based LevelsDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Educational Case Study | 8 April 2024
This idea documents an educational intraday case study on Axis Bank, focusing on how price–degree alignment and time awareness were observed using square-based geometric methods commonly referenced in classical market studies.
The purpose of this post is to study chart behavior, not to suggest or validate trades.
📊 Chart Context
Instrument: Axis Bank Ltd. (NSE)
Date: 8 April 2024
Timeframe: 15-minute (Intraday)
During the session, Axis Bank showed early upward momentum. A structured geometric framework was applied to observe how price behaved relative to predefined reference levels throughout the day.
🔍 Methodology (Observational Framework)
The session low was treated as a reference point for structure
From this reference, square-based projections were observed
A level near 1079 aligned with a 45-degree projection, often associated with normal intraday price reach in historical studies
Higher projections were noted only as contextual markers, not expectations
All levels were treated as potential reaction zones, not fixed barriers.
📈 Observed Intraday Behavior
Price approached the projected zone during mid-session
Near this area, the market showed temporary pressure and difficulty sustaining above the level
The broader intraday range remained contained within the projected boundary
This behavior aligned with previously observed historical responses around similar geometric zones
No execution, trade direction, or outcome is implied.
📘 Educational Takeaways
Square-based geometry can help define logical intraday price boundaries
Certain angles may act as areas of interest, depending on market context
Time awareness adds structure when observing intraday movement
This approach emphasizes price structure over indicators or signals
All insights are derived from historical chart observation only.
📌 Important Note
This case study is shared solely for learning and research purposes.
Geometric levels do not guarantee outcomes and should always be used as contextual tools.
Market behavior may include:
Temporary pauses
Short-term pressure
Range expansion or contraction depending on conditions
🚀 Summary
This intraday case study highlights how price geometry and time alignment can be used to observe market behavior in a structured and objective manner.
More educational chart studies will follow.
Axis Bank | Intraday Price-Time Observation Using Square-Based GDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Educational Case Study | 21 October 2024
This idea presents an educational intraday case study on Axis Bank, focusing on how price–degree alignment and time awareness can be observed using square-based geometric methods commonly discussed in classical market studies.
The purpose of this post is to study chart behavior, not to suggest or validate trades.
📊 Chart Context
Instrument: Axis Bank (NSE)
Date: 21 October 2024
Timeframe: 15-minute (Intraday)
During the session, price showed a shift in momentum after reaching a higher price region. As the move developed, a structured geometric framework was used to observe how price behaved relative to predefined reference points.
🔍 Methodology Used (Observational)
A reference point was marked near 1214, from where price began to decline
From this reference, a 45-degree projection was observed using a square-based calculation method
The derived level appeared near 1197, representing a potential intraday reaction zone
Time was observed as an additional context factor, particularly how price behaved before later session hours
These levels were treated as areas of observation, not certainty points.
📈 Observed Market Behavior
Price approached the projected zone during the intraday session
Near this level, the market showed temporary pressure followed by a short-term response
The behavior aligned with historical observations where price interacts with similar geometric zones
The reaction highlighted how price and time together can influence intraday movement
No trade execution or outcome is implied.
📘 Key Educational Insights
Square-based geometry can help define normal intraday price reach
Certain angles may act as potential reaction areas, depending on context
Time awareness can add structure to intraday observation
This approach emphasizes market structure over indicators
All points are based on historical chart study, not forecasting.
📌 Educational Note
This case study is shared solely for learning and research purposes.
Geometric levels do not guarantee outcomes and should always be treated as contextual tools.
Market responses may vary based on:
Volatility
Liquidity
Broader market structure
🚀 Summary
This intraday case study demonstrates how price geometry and time awareness can be used to observe market behavior in a structured and disciplined way.
More educational observations will follow.
NIFTY 50 | Time-Cycle Observation Using Gann-Based MethodsDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Educational Case Study | March–April 2023
This idea shares an educational case study highlighting how time-cycle concepts, often discussed in classical Gann literature, were observed on the NIFTY 50 index during March–April 2023.
The focus of this post is to study how time completion and price behavior interacted, rather than to present a forecast or trading outcome.
📊 Background of the Observation
On 13 March 2023, NIFTY 50 was trading near a time–price balance area identified through time-based analysis methods.
Rather than relying on indicators or news flow, the study examined how time progression aligned with subsequent price behavior — an approach commonly referenced as time leading price in classical analysis.
A 9-day time window was identified as an area of interest, with 24 March 2023 marking a notable time point for observation.
🔍 Market Behavior After Time Completion
Following the completion of the identified time window:
The index began showing positive momentum
Price expanded upward over the subsequent sessions
Part of the observed movement unfolded shortly after the time cycle completed
Additional price expansion continued as the broader structure evolved
This sequence provided an example of how price activity may increase after time completion, depending on market conditions.
📘 Key Educational Takeaways
Market expansion is often observed after time completion, rather than at obvious price levels
Time analysis can help identify periods of potential expansion or contraction
Studying time reduces emotional bias and improves patience
Gann-based methods focus on structure and rhythm, not precise prediction
All observations are based on historical chart behavior, not future expectations.
📌 Important Clarification
This post is shared only for study and research purposes.
No directional advice, trade execution, or performance guarantee is implied.
Time-based zones should be treated as:
Areas of observation
Potential reaction windows
Not fixed outcomes
📚 Additional Learning Resource
For readers interested in a detailed educational explanation of time-cycle concepts used in this chart study, a longer learning resource is available below:
nirajmsuratwala.in
(Shared strictly for educational reference)
🚀 Summary
This case study demonstrates how time-cycle observation, when combined with structure, can help traders study market rhythm objectively.
More educational case studies will follow.
Axis Bank | Observed Price Reaction Near a 45° LevelCase Study – 8 November 2024
This idea presents an educational case study focused on intraday price behavior near a geometric level, specifically a 45° projection, observed on Axis Bank on 8 November 2024.
The study is shared to understand how price, time, and structure may interact around predefined geometric zones — without any predictive or advisory intent.
📊 Chart Observation
On 8 November 2024, Axis Bank moved toward a projected level derived from a 45° calculation, originating from an intraday reference point using Square-of-9–based methodology.
The projected zone appeared near 1168
During the afternoon session, price showed temporary pressure and rejection around this area
The behavior aligned with previously observed reactions near similar geometric levels
This observation highlights how markets may respond near certain structural zones, depending on context and timing.
🔍 What This Case Study Illustrates
Identifying a 0° reference from an intraday extreme
Observing price movement capacity along a 45° path
Noting time sensitivity, where reactions often occur near specific time windows
Understanding how a geometric zone can act as a potential reaction area, rather than a fixed resistance
These observations are intended to support chart study and market behavior analysis, not decision-making shortcuts.
📌 Educational Note
This post discusses observed historical behavior on charts.
Geometric levels and angles represent areas of interest, not guaranteed outcomes.
Market behavior may include:
Temporary pauses
Short-term pressure
Expansion or continuation depending on broader structure
No trade direction or execution guidance is provided.
🚀 Conclusion
This case study demonstrates how combining geometry, structure, and time can add clarity to intraday chart analysis when used objectively.
More such educational observations will follow.
Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Are You a Market Student? That’s Exactly Who This Is ForDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Most traders spend years searching for consistency, clarity, and a better way to interpret price behavior.
If your interest goes beyond indicators and focuses on how price and time interact structurally, then this series is meant for you.
This idea marks the beginning of a study-based series focused on classical market observation methods inspired by W.D. Gann principles — strictly from an educational and analytical perspective.
🔎 Purpose of This Series
Markets often display repetitive behavior when observed through time, price, and structure.
In this series, we will study how historical market behavior has shown:
Time and price relationships
Cyclical tendencies
Geometric price movement
Structural behavior on charts
Reactions around specific angles and zones
The objective is not prediction, but observation and understanding.
📘 What You’ll See in Upcoming Ideas
Future posts may include:
Chart-based observations
Explanation of classical concepts
Historical examples from charts
Study of time, price, and structure interaction
How older analytical methods can still be observed in modern markets
All examples are shared to study market behavior, not to suggest trades.
📌 Important Note
This is not a trading call and not a strategy recommendation.
Zones, angles, and levels discussed represent areas where markets have historically shown reactions, not guaranteed outcomes.
Markets may additionally show:
Temporary pressure
Pauses in momentum
Expansion or contraction depending on context
🚀 Moving Forward
This post serves as an introduction only.
If you are curious about cycle studies, structural analysis, and classical market observation, stay connected for future ideas.
Let’s study the market logically, objectively, and step by step.
KENNAMETAL INDIA - 26% RETURNSBUY - KENNAMETAL INDIA LTD
CMP - Rs. 2126
Target - 1: Rs. 2431
Target - 2: Rs. 2676
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Technicals - 1) Harmonic Patterns
2) Targets set using Fibonacci Retracement and Gann Angles
3) EMA Convergence
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Comment: Estimated time for returns is 6-9 months.
BAJAJ FINANCE - 33% RETURNS!!!BUY - BAJAJ FINANCE LTD
CMP - Rs. 5649
Target - 1: Rs. 6880
Target - 2: Rs. 7689
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Technicals - 1) Bullish Harmonic Pattern - Anti-Crab.
2) Targets set using Fibonacci Retracements.
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Comment - The 2nd target will be achieved in the medium-term
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ENGINEERS INDIA - 164% RETURNS!!!BUY - ENGINEERS INDIA
CMP - Rs. 75
Target - 1: Rs. 117
Target - 2: Rs. 150
Target - 3: Rs. 200
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Comment: Targets 2 and 3 will be achieved in the long term.
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Technicals - 1) Harmonic Pattern indicating Bullish Reversal.
2) Targets set using Fibonacci Retracements and Gann Angles.
3) The stock is at support.
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CMP - Rs. 449
Target - 1: Rs. 702
Target - 2: Rs. 914
Target - 3: Rs. 1061
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Technicals - 1) Harmonic Patterns - Anti Nen Star, Sea Pony, Leonardo
2) Targets set using Fibonacci Retracements and Gann Angles.
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Comments - Target 2 and 3 will be achieved in the long term.
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LSIL - 85% RETURNS!!!BUY - LLOYDS STEEL INDUSTRIES LIMITED
CMP - Rs. 16
Target - 1: Rs. 21
Target - 2: Rs. 24
Target - 3: Rs. 30
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Technicals - 1) Bullish Harmonic Pattern - Sea Horse.
2) Targets set using Fibonacci Retracements and Gann Angles.
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Comment - Target - 3 will be achieved in the long term.
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