Axis Bank | Major Gann Levels and Degree Completion StudyEducational Analysis (31 Mar 2022)
Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Understanding Major Gann Levels
Educational Case Study based on Gann Degree Analysis
This educational study explains how major Gann degree levels can help traders observe structured market behaviour and identify whether valid degree completion occurs. WD Gann’s methodology focuses on the relationship between price movement and predefined degree levels, which may act as potential reaction zones.
For this session, both upside and downside degree levels were calculated in advance using price-to-degree conversion tools and plotted before market movement. This helps maintain an objective and rule-based analytical approach.
Pre-Calculated Gann Degree Reference Levels
Upside Reference Levels
0 Degree: ₹751
45 Degree: ₹765
90 Degree: ₹779
135 Degree: ₹793
180 Degree: ₹807
Downside Reference Levels
0 Degree: ₹761
45 Degree: ₹747
90 Degree: ₹734
135 Degree: ₹720
180 Degree: ₹707
These levels were used as structured reference zones to observe price behaviour during intraday movement.
Observed Price Behaviour and Degree Interaction
Downside Observation
Price initially moved downward from the reference zone near ₹761. Based on Gann methodology, completion of a 45-degree distance is often observed before meaningful structural reaction zones develop.
In this case, price did not reach the 45-degree level at ₹747. The market showed temporary stabilization before completing the projected degree movement.
This reflected incomplete degree progression and absence of a structured reaction at the expected level.
Upside Observation After Recovery
Following a rebound near ₹751, this level was observed as a revised reference point for further degree evaluation.
From this reference:
• The upside 45-degree level was ₹765
• Price moved upward but did not reach this level
• Market activity showed temporary pressure without completing the full degree distance
This indicated that the projected degree relationship remained incomplete.
Educational Insight Based on Gann Methodology
WD Gann analysis focuses on observing how price interacts with mathematically derived degree relationships. Based on historical observation:
• Degree levels may act as potential reaction zones
• Completion of degree distance helps establish structured market behaviour
• Incomplete degree movement may indicate consolidation or neutral structure
• Re-establishing reference levels helps in studying evolving market conditions
This case demonstrates how markets may remain within a defined range when projected degree levels are not reached.
Key Educational Takeaways
• Major Gann levels help define structured observation zones
• Not every session produces complete degree movement
• Degree completion helps validate structured behaviour
• Absence of degree completion may reflect neutral or range-bound conditions
• Structured analysis supports disciplined and objective market study
This example highlights how Gann degree analysis can be used to understand market structure from an educational perspective.
This analysis is shared purely for educational purposes to demonstrate the practical application of Gann degree methodology using historical market data.
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Axis Bank | Understanding Gann Levels & Trade SelectionEducational Case Study | 30 March 2022
This case study demonstrates how Gann degree levels can help identify potential reaction zones and also highlight when only a single valid opportunity may exist during the session. The focus here is on understanding structured trade filtering using price-degree relationships.
Pre-Calculated Gann Degree Levels (Upside)
0 Degree: ₹741.30
45 Degree: ₹755
90 Degree: ₹768
135 Degree: ₹782
180 Degree: ₹796
These levels were derived using standard Gann price-degree conversion methods and were marked on the chart before market movement to maintain objective analysis.
Observed Price Behaviour
Axis Bank showed upward movement from the 0-degree level (₹741.30), indicating initial strength.
Price reached the 45-degree zone (₹755), where temporary resistance behaviour was observed. This area acted as a potential reaction zone based on historical Gann degree relationships.
The stock attempted to move higher toward the 90-degree level (₹768), but the level was not reached within the expected time window. As per Gann methodology, absence of degree completion may indicate reduced probability for continuation-based setups.
Later in the session, price revisited the 45-degree zone and showed rejection-type behaviour. Following this, price moved downward toward lower levels, reflecting a reaction from the previously identified degree level.
Gann Methodology Insight
WD Gann’s framework emphasizes the importance of both price and time alignment.
According to observed historical behavior:
• Degree levels often act as potential reaction zones
• Not all pre-calculated levels result in valid trading opportunities
• Failure to reach the next degree may indicate weakening momentum
• Structured rules help avoid overtrading and improve decision discipline
This case highlights how only one valid reaction zone formed during the session, while other projected levels did not produce actionable conditions.
Educational Takeaways
• Gann levels help define objective market structure
• Price may react temporarily at specific degree levels
• Time and price alignment plays an important role in setup quality
• Not every level produces multiple opportunities
• Selective participation is part of systematic trading discipline
Understanding these principles helps traders focus on structured analysis rather than emotional decision-making.
This post is shared purely for educational purposes to demonstrate practical application of Gann degree analysis using historical market data.
AXIS BANK | Educational Study of Gann Numbers and Trade Disclaimer :
This analysis is for educational purposes only.
I am not a SEBI-registered advisor.
This is not financial advice.
This case study explains how Gann Numbers and degree levels can help identify when market conditions may not form a valid structural setup, highlighting the importance of discipline and observation in price–time analysis.
The focus of this example is educational — to demonstrate how predefined mathematical levels can assist in filtering low-probability conditions and improving structured chart reading.
📊 Pre-Calculated Gann Degree Reference Levels
Using Gann Square of 9 price-degree conversion, the following levels were derived in advance:
Reference level near 741.50
Next degree level near 727
Lower degree levels near 714, 701, and 688
These levels represented potential observation zones, where price could show reaction, stabilization, or continuation depending on time and structure.
📈 Observed Market Behavior
Price moved downward from the reference level during the session
However, price movement slowed before reaching the next calculated degree level
The expected degree completion was not observed within the normal observation window
Price remained between calculated zones without forming a clear structural confirmation
This behavior demonstrated a session where price remained in transition between Gann reference zones.
🧠 Educational Insight
This example highlights an important principle of Gann methodology:
Gann numbers help define objective observation zones
Not every session produces a clear structural alignment
Absence of degree completion can indicate balance or low directional clarity
Such conditions provide valuable information about market structure
The purpose of Gann analysis is to study price-time relationships objectively
Understanding these situations helps traders avoid forcing interpretations and instead focus on structured observation.
AXIS BANK | Educational Study of Gann Square of 9 Reaction Zone
Disclaimer:
This analysis is for educational purposes only.
I am not a SEBI-registered advisor.
This is not financial advice.
This case study explains how the Gann Square of 9 can be plotted on TradingView to identify potential reaction zones, where price may pause, stabilize, or shift momentum based on price–time balance.
The objective is to demonstrate how predefined mathematical levels can be used to study market structure in an objective and rule-based manner.
📊 Pre-Calculated Reference Levels
Using the Gann Square of 9 methodology, the following reference levels were derived in advance:
Reference level near 728
Square level near 715
Additional lower degree levels derived mathematically
These levels represented potential balance zones, where price could show temporary support, pressure, or consolidation depending on market conditions.
📈 Observed Market Behavior
Price moved downward from the reference level during the session
As price approached the square level, downward momentum slowed
The chart showed a clear reaction and stabilization near the square level
Price behavior reflected how predefined Gann levels can act as structural reference areas
This type of movement demonstrates how markets often respond near calculated price-time equilibrium zones.
🧠 Educational Insight
This example highlights important structural concepts:
Gann Square levels help identify potential reaction zones
These zones may act as areas of temporary balance or support
Price interaction with predefined levels helps improve market observation
The purpose is to study price behavior objectively, not predict outcomes
Mathematical levels provide structure and discipline in chart analysis
Understanding these reactions helps traders recognize how price behaves around key structural zones.
AXIS BANK | Observing Gann Square of 9 Reaction ZonesAXIS BANK | Observing Gann Square of 9 Reaction Zones | Educational Case Study | 19 May 2022
Disclaimer:
This analysis is for educational purposes only.
I am not a SEBI-registered advisor.
This is not financial advice.
This educational case study examines how the Gann Square of 9 helps identify potential reaction zones, where price may pause, stabilize, or change momentum based on price–time balance.
The purpose is to study historical price interaction with mathematically derived Gann levels in a structured and objective manner.
📊 Pre-Calculated Gann Reference Levels
Using the Gann Square of 9 methodology, the following reference levels were identified:
Reference level near 641
Square level near 654
Higher degree level above the square level
These levels represented potential equilibrium zones, where price could show temporary pressure, consolidation, or continuation depending on market strength.
📈 Observed Market Behavior
Price moved upward from the reference level during the session
As price approached the square level, upward momentum slowed
The chart showed temporary pressure near the square level, followed by a shift in short-term price behavior
This reaction demonstrated how mathematically derived levels can act as structural reference zones
This type of price behavior reflects the importance of observing price interaction with predefined levels, rather than reacting emotionally to market movement.
🧠 Educational Insight
This case highlights key principles of Gann Square analysis:
Gann levels help identify potential reaction or balance zones
Price may pause, consolidate, or change momentum near square levels
These levels represent structural reference areas, not exact reversal points
Price and time alignment provides a framework for studying market structure
The objective is observation and discipline, not prediction
Such case studies help traders understand how markets behave around predefined mathematical levels.
AXIS BANK | Understanding Gann Square of 9 Degree CompletionEducational Case Study
Disclaimer:
This analysis is for educational purposes only.
I am not a SEBI-registered advisor.
This is not financial advice.
This educational case study explains how the Gann Square of 9 helps identify price–time balance zones, especially in situations where price reaches a key degree level and shows equilibrium instead of immediate reversal.
The purpose of this study is to observe how predefined Gann levels interact with price structure under normal market conditions.
📊 Gann Square Reference Levels
Using standard Gann Square of 9 calculations, the following reference levels were identified in advance:
0° reference level near 658
45° square level near 671
90° square level above the 45° reference zone
These levels represented potential reaction or balance zones, where price could slow down, consolidate, or continue depending on underlying strength.
📈 Observed Market Behavior
Price moved upward from the reference level during the session
Price reached the 45° square level during normal trading hours
Near this level, upward momentum slowed and price began to stabilize
Instead of immediate rejection, price showed temporary balance near the square level
This behavior indicated a phase of equilibrium between buying and selling pressure
This example highlights that Gann levels may act as decision zones, where price can either reverse, consolidate, or continue based on market participation.
🧠 Educational Insight
This case demonstrates important Gann Square of 9 principles:
Gann degree levels help identify potential equilibrium zones
Not all square levels produce immediate directional change
Price stabilization near a degree level can reflect structural balance
Price and time alignment helps traders study market structure objectively
Gann analysis is a framework for observation and discipline, not prediction
Such studies help in understanding how price behaves when interacting with mathematically derived levels.
AXIS BANK | Gann Square of 9 & Time Cycle AlignmentDisclaimer:
This analysis is for educational purposes only.
I am not a SEBI-registered advisor.
This is not financial advice.
This educational case study highlights how the Gann Square of 9 and Gann Time Cycle concepts can help identify potential price–time balance zones using historical intraday data of Axis Bank.
The objective is to demonstrate how predefined Gann levels and time alignment may correspond with observed market behavior.
📊 Gann Square Levels Observed
Using standard Gann Square calculations, the following reference levels were identified in advance:
0° reference level near 668
45° square level near 681
90° square level near 694
These levels represented potential reaction zones, where price could experience temporary balance, hesitation, or structural change depending on market conditions.
📈 Observed Market Behavior
Price moved upward from the reference level during the session
As price approached the 45° square level, the upward momentum slowed
Near this zone, price showed temporary pressure and structural hesitation
The timing of this interaction also aligned with a projected Gann time observation window
Following this interaction, price transitioned into a consolidation and fluctuation phase
This example illustrates how price and time alignment can coincide with observable structural changes.
🧠 Educational Insight
This case study demonstrates important WD Gann concepts:
Gann Square levels help identify potential balance zones, not exact turning points
Price reactions near square levels may indicate temporary equilibrium between buyers and sellers
Time cycles can help identify periods where market structure may shift
Gann analysis provides a structured framework for observing price behavior objectively
These principles are used for educational study of historical price behavior and market structure.
Axis Bank | Gann Square of 9 Intraday Observation | 16 SeptemberDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Symbol: AXISBANK (NSE)
Date Observed: 16 September 2022
Time Frame: 15-Minute Chart
Concept Studied: Gann Square of 9 (Price–Degree Relationship)
This idea presents a historical intraday observation of Axis Bank using the Gann Square of 9 methodology to examine how price behaved near calculated degree levels during an upward session.
📊 Reference Point and Degree Calculation
On this trading day, Axis Bank began an upward move from a base level near 776, which was treated as the 0-degree reference point for measuring price expansion.
Using the Square of 9 conversion approach, the following levels were observed:
0 Degree: ~776
45 Degree: ~790
90 Degree: ~804
These levels represent measured price intervals that may act as areas where the market pauses, consolidates, or shows temporary change in momentum.
⏱️ Intraday Price Behavior
During the session:
Price advanced steadily from the 0-degree reference
The market approached the 45-degree zone near 790 around mid-session
Near this level, price showed temporary pressure and loss of upward momentum
A downward movement followed afterward within the same session
Minor variations of 1–2 points around calculated levels are commonly observed in live markets and can still be considered part of the same reaction zone.
📘 Educational Observations
Gann degree levels help identify structured price zones for observation
These zones should be treated as potential reaction areas, not fixed reversal points
The interaction between price and time provides additional context
Observing market behavior near calculated levels may help improve structured analysis
This case is shared for educational purposes to demonstrate how price has historically interacted with measured degree levels using the Gann Square of 9 framework.
#AxisBank #WDGann #GannSquareOf9 #IntradayObservation #TechnicalEducation #PriceTimeAnalysis #MarketStructure
Axis Bank | Gann Square of 9 Intraday Observation | 20 SeptemberDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Symbol: AXISBANK (NSE)
Date Observed: 20 September 2022
Time Frame: 15-Minute Chart
Concept Studied: Gann Square of 9 (Price–Degree Relationship)
This idea presents a historical intraday observation of Axis Bank using the Gann Square of 9 framework to study how price interacted with a calculated degree level during an upward session.
📊 Market Context & Reference Level
On this trading session, Axis Bank initiated an intraday upward move from a reference point near 802.
This level was treated as the 0-degree reference, serving as the origin for measuring price expansion using the Square of 9 conversion approach.
From this base, projected degree levels were observed on the chart.
🔢 Degree Levels Observed
0 Degree: ~802
45 Degree: ~816
The 45-degree level is commonly observed as a potential reaction zone, particularly when reached within the first half of the trading session.
⏱️ Intraday Price Interaction
During the session:
Price advanced from the 0-degree reference
The 45-degree level (~816) was reached around mid-session
Near this area, the market showed temporary pressure and reduced upward momentum
Price later moved lower from that zone
Historically, when price reaches a measured degree level before later session hours, it may indicate that a portion of the typical intraday range has already been covered. Such levels are best treated as decision areas, where price behavior should be observed rather than assumed.
📘 Educational Observations from This Case
Gann Square of 9 provides a structured way to observe price vibration levels
Degree levels act as observation zones, not automatic reversal points
The relationship between price and time adds context to intraday movement
Discipline includes accepting that sometimes no confirmation means no action
This example is shared purely for educational study of historical market behavior using angle-based analysis.
#AxisBank #GannSquareOf9 #WDGann #IntradayObservation #PriceTimeStudy #TechnicalEducation #MarketStructure
Axis Bank | Gann Square of 9 Intraday Study (Normal Case)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: 13 November 2024
Time Frame: 15-Minute Chart
This post documents a historical intraday observation using the Gann Square of 9, focusing on how normal price movement capacity interacts with time to highlight potential reaction zones.
📊 Initial Market Structure
Axis Bank showed upward momentum from the first 15-minute candle.
The low of the opening candle (~1148) was treated as the 0-degree reference level, following standard Square of 9 practice.
This reference point acts as the base for mapping the day’s expected upward vibration.
Correct identification of the 0-degree is essential for meaningful Square of 9 observations.
🔢 Gann Square of 9 Level Mapping
Based on Square of 9 calculations:
0 Degree: ~1148
45 Degree (Observed Normal Capacity): ~1165
In intraday studies, the 45-degree level often represents a stock’s normal price expansion range under regular market conditions.
⏱️ Price & Time Interaction (Observed Behavior)
Price reached the 45-degree level early in the session (around the second 15-minute candle).
Completion of the normal price capacity well before the later part of the trading day has historically shown temporary price pressure.
After interacting with this zone, the market displayed rejection behavior and short-term downside expansion.
This reflects a commonly observed Gann principle:
Early completion of expected price capacity can increase the probability of a reaction.
📘 Key Educational Takeaways
Square of 9 helps define logical intraday price limits
Normal (45-degree) reactions occur more frequently than rare cases
Combining price structure with time context improves clarity
The method supports rule-based observation, not prediction
Small variations around levels are part of normal market behavior
📌 Shared purely for educational and historical chart-study purposes.
#AxisBank #GannSquareOf9 #WDGann #IntradayAnalysis #MarketEducation #TechnicalAnalysis #PriceTime
Axis Bank | Gann Square of 9 Intraday Observation | 12 March 202Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Symbol: AXISBANK (NSE)
Date Observed: 12 March 2024
Time Frame: 15-Minute Chart
Method: Gann Square of 9 (Price Capacity & Time Study)
This post documents a historical intraday observation based on the Gann Square of 9, focusing on how early completion of price capacity can coincide with temporary market pressure.
📊 Market Structure & Reference Selection
Axis Bank opened with upward momentum during the first 15-minute candle.
In such conditions, the low of the opening candle (~1100) was treated as the 0-degree reference level, following Gann methodology.
This level served as the base point for measuring the session’s upward price capacity.
Accurate identification of the reference point is essential for reliable Square of 9 observations.
🔢 Square of 9 Level Mapping
Based on the selected reference:
0 Degree: ~1100
45 Degree (Observed Normal Capacity): ~1117
The 45-degree level often reflects the normal intraday price expansion range under regular conditions.
⏱️ Price–Time Behavior (Observed)
Price interacted with the 45-degree level early in the session (around 9:30 AM).
Completion of normal price capacity well before the later part of the trading day has historically been associated with short-term exhaustion.
After reaching this zone, the market showed temporary selling pressure and downside expansion.
This aligns with a commonly observed Gann principle:
When expected price capacity is completed early in time, the probability of a reaction may increase.
📘 Educational Takeaways
Gann Square of 9 helps define intraday price limits in advance
Early completion of price capacity can signal temporary trend fatigue
Time alignment strengthens interpretation of price-degree levels
The method encourages structured observation over prediction
Focus remains on process, not precision
📌 Shared strictly for educational and historical chart-study purposes.
#AxisBank #GannSquareOf9 #WDGann #IntradayAnalysis #MarketEducation #PriceTime #TechnicalAnalysis
Axis Bank | Gann Square of 9 Intraday Study (Normal Case)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: 14 November 2024
Time Frame: 15-Minute Chart
This post is a historical intraday case study showing how the Gann Square of 9 can be used to identify potential reaction zones by combining price movement capacity with time.
📊 Opening Market Observation
Axis Bank showed bullish intent from the first 15-minute candle.
The low of the opening candle (~1131.60) was treated as the 0-degree reference, following standard Gann methodology.
This reference level acts as the base point for measuring upward price vibration for the session.
🔢 Square of 9 Level Structure
Based on Square of 9 calculations:
0 Degree: ~1131
45 Degree (Observed Normal Capacity): ~1148
In intraday studies, the 45-degree level often represents the stock’s normal directional movement range.
⏱️ Price & Time Interaction (Educational Observation)
Price reached the 45-degree level very early in the session (around the second 15-minute candle).
Completion of the normal movement range well before the latter part of the trading session has historically shown temporary price pressure or hesitation.
After interacting with this zone, the market displayed rejection behavior and short-term weakness.
This reflects a commonly observed Gann principle:
When price completes its expected movement capacity too early in time, the probability of a reaction increases.
📘 Key Educational Takeaways
Square of 9 levels can be projected in advance for structured observation
Correct identification of the 0-degree reference is critical
Alignment of price and time improves analytical context
Normal (45-degree) cases occur more frequently than rare (90-degree) cases
This approach supports disciplined chart reading rather than emotional decisions
📌 Shared purely for learning and historical chart-study purposes.
#AxisBank #GannSquareOf9 #WDGann #IntradayAnalysis #MarketEducation #TechnicalAnalysis #PriceTime
Axis Bank | Intraday Price Behaviour Using Square-Based GeometryDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered adviser. This is not financial advice.
Educational Case Study | 7 February 2025
This idea presents an educational intraday case study on Axis Bank, focusing on how price movement capacity and time awareness can be observed using square-based geometric methods commonly referenced in classical market studies.
The purpose of this post is to study historical chart behavior, not to suggest trades or outcomes.
📊 Chart Context
Instrument: Axis Bank Ltd. (NSE)
Date: 7 February 2025
Timeframe: 15-minute (Intraday)
During the early part of the session, Axis Bank showed strong downward momentum. A structured framework was applied to observe how price behaved relative to predefined reference levels as the session progressed.
🔍 Observational Framework
The initial high of the session was treated as a reference point (around 1024.45)
From this reference, square-based projections were observed
A level near 1008 aligned with a 45-degree projection, often associated with normal intraday price reach in historical studies
This level was treated as a potential reaction zone, not a guaranteed support
All levels were used strictly as areas of observation.
📈 Observed Market Behavior
Price moved toward the projected zone during the morning session
Near this area, the market showed temporary pressure and a short-term response
The behavior aligned with previously observed historical interactions around similar geometric zones
Time context was noted as part of the observation, without implying causation
No trade execution, direction, or performance outcome is implied.
📘 Educational Insights from This Case
Square-based geometry can help outline normal intraday price movement capacity
Certain projected levels may act as areas where price behavior changes
Time awareness can provide additional context when studying intraday charts
This approach emphasizes structure and observation over indicators or predictions
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 responses 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 in a structured and objective manner.
More educational chart studies will follow.
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.
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.
















