Axis Bank | Studying Support & Resistance with Gann Square of 9Axis Bank | Studying Support & Resistance with Gann Square of 9 (Educational Example) | 11 Apr 2022
Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Observing Support & Resistance Using Gann Square of 9
This chart study explores how the Gann Square of 9 can be used to calculate structured price levels that may act as potential reaction zones on the chart.
The example uses historical intraday data from Axis Bank Ltd. dated 11 April 2022.
Price levels were converted into degree values using the Gann Square of 9 method to observe how the market behaved around these calculated zones.
The purpose of this case study is to demonstrate how traders analyse price movement relative to predefined degree levels rather than relying on prediction.
Pre-Calculated Gann Levels (Upside Reference)
Using the Gann Square of 9 conversion:
0 Degree: ₹786.05
45 Degree: ₹800.13
90 Degree: ₹814.34
These levels represent structured zones where price may sometimes show temporary pressure or hesitation depending on the broader market environment.
Observed Behaviour (Upside)
During the session, Axis Bank moved upward from the reference area near ₹786.05.
While monitoring price behaviour:
• The market showed upward movement from the base level
• However, price did not reach the calculated 45-degree zone near ₹800.13
• Movement remained within intermediate ranges without interacting with the next projected level
This type of behaviour sometimes indicates limited momentum within the calculated degree structure.
Pre-Calculated Gann Levels (Downside Reference)
Downside reference levels for the same session were:
0 Degree: ₹794.25
45 Degree: ₹780.00
90 Degree: ₹766.00
These levels provide additional reference zones where the market may display reaction or balance.
Observed Behaviour (Downside)
Later during the session, price moved downward from the reference zone near ₹794.25.
While analysing this movement:
• The market moved lower from the reference area
• However, price again did not approach the next calculated level near ₹780 (45°)
• Price remained within the degree boundaries without completing the expected distance
This type of range behaviour can occur when the market temporarily stabilises between calculated levels.
Understanding Degree-Based Support & Resistance
In Gann methodology, price levels are converted into geometric degrees to observe how markets interact with structured zones.
When price approaches these levels:
• Market momentum may slow down
• Temporary pressure or hesitation can appear
• Price behaviour around the zone becomes important for structural analysis
However, markets do not always reach projected levels during every session.
Time Observation in This Case
Some traders also observe the relationship between price movement and intraday time progression.
In this example:
• The market remained within calculated degree boundaries throughout the session
• Neither the upside nor downside 45-degree levels were approached during the observed timeframe
• Price behaviour therefore remained range-bound within the projected structure
Such sessions are useful when studying how markets behave between predefined levels.
Educational Insights from This Example
This case highlights several learning points for traders studying Gann methodology:
• Gann Square of 9 converts price into structured degree relationships
• Degree levels can highlight potential reaction zones
• Not every session results in interaction with projected levels
• Markets may remain range-bound between calculated zones
• Structured analysis helps traders observe price behaviour more objectively
Why Studying Degree Boundaries Is Useful
Understanding these structured zones can help traders:
• Observe price behaviour around mathematical reference levels
• Study how markets react to calculated support and resistance zones
• Recognise range-bound market environments
• Improve patience and discipline when analysing charts
These observations are useful for learning how price interacts with degree-based market structure.
This chart study is shared purely for educational purposes using historical market data.
Ganntheory
Axis Bank | Studying Gann Square of 9 Degree Behaviour
Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Educational Observation Using Gann Square of 9
This chart study demonstrates how the Gann Square of 9 (SQ9) can be used to observe price interaction with predefined degree levels. In many situations, price may not interact with these calculated zones, which itself becomes an important observation when studying market structure.
The example below uses historical intraday data from Axis Bank Ltd. dated 08 April 2022, where price movement was analysed using Gann degree levels derived through price-to-degree conversion.
The purpose of this case study is purely educational and aims to show how structured levels help traders observe price behaviour objectively.
Pre-Calculated Gann Degree Levels (Upside Reference)
Using the Gann Square of 9 method, the following levels were calculated in advance:
0 Degree: ₹789
45 Degree: ₹803
90 Degree: ₹817
135 Degree: ₹832
180 Degree: ₹846
These levels act as structured zones where the market may sometimes display temporary pressure, hesitation, or reaction depending on broader market conditions.
Observed Market Behaviour
During the session on 08 April 2022, Axis Bank began moving upward from the reference level around ₹789.
While observing the price action:
• The market showed upward momentum from the reference zone
• However, price did not reach the next calculated degree level near ₹803 (45°)
• Movement remained between the projected levels without completing the expected distance
This type of behaviour can occasionally occur when the market remains balanced within a limited range.
Understanding Degree Interaction
In Gann methodology, price movement is often studied relative to calculated degree distances.
When price approaches a degree level:
• Market behaviour may show temporary reaction or hesitation
• Momentum may slow or consolidate around calculated zones
• Traders observe these interactions to understand price structure rather than to predict outcomes
In this case, the absence of interaction with the 45-degree level highlights how markets can remain within intermediate ranges.
Time Observation in This Session
Some traders also monitor the relationship between price movement and intraday time windows.
During this particular session:
• The market did not approach the next calculated degree level within typical trading hours
• Price remained between predefined reference zones
• This type of movement can sometimes indicate temporary equilibrium between buyers and sellers
Such observations help traders understand how price, time, and structure interact on intraday charts.
Educational Insights from This Example
This historical chart provides several learning points:
• The Gann Square of 9 converts price into structured degree relationships
• Not every session results in interaction with projected levels
• Price may remain between calculated zones during range-bound conditions
• Structured reference levels help traders analyse market behaviour objectively
• Observing such cases can improve discipline in chart analysis
Why Studying Neutral Market Sessions Is Useful
Analysing sessions where price does not interact with calculated levels helps traders:
• Understand range-bound market behaviour
• Recognise periods of lower directional momentum
• Observe how price behaves between structured levels
• Improve patience and analytical discipline
These studies are valuable when learning how markets respond to mathematically derived reference zones.
This chart example is shared purely for educational purposes using historical market data.
Axis Bank | Major Gann Levels & Degree Completion 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 | 31 March 2022
This case study explains how major Gann degree levels can help identify potential reaction zones and, more importantly, highlight situations where no valid setup is formed. WD Gann methodology emphasizes price and time alignment, and absence of degree completion may indicate low-probability conditions.
Both upside and downside Gann levels were calculated in advance using standard price-to-degree conversion methods and marked on the chart before market movement.
Pre-Calculated Gann Levels
Upside Degree Levels
0 Degree: ₹751
45 Degree: ₹765
90 Degree: ₹779
135 Degree: ₹793
180 Degree: ₹807
Downside Degree Levels
0 Degree: ₹761
45 Degree: ₹747
90 Degree: ₹734
135 Degree: ₹720
180 Degree: ₹707
These levels acted as reference zones to observe how price behaves when approaching key degree relationships.
Observed Market Behaviour
Downside Movement Observation
Axis Bank showed downward movement from the 0-degree reference zone near ₹761. According to observed Gann principles, completion of a 45-degree distance is often required to establish a valid reaction zone.
However, price did not reach the 45-degree downside level (₹747). This indicated that the expected degree completion was absent, and the market remained within an intermediate range.
This behaviour reflects how incomplete degree movement may signal lack of structured setup formation.
Upside Re-Assessment After Recovery
Following a rebound from the lower zone near ₹751, this level was observed as a new reference point for upside evaluation.
From this revised reference:
The upside 45-degree level was ₹765
Price moved upward but did not reach this degree level
The market showed temporary pressure before completing the projected degree distance
This indicated absence of full degree completion on the upside as well.
Gann Methodology Insight
WD Gann’s framework is based on the relationship between price movement and degree progression. Based on historical observations:
Degree levels may act as potential reaction zones
Completion of degree distance helps validate structural movement
Incomplete degree progression may reflect neutral or consolidation behaviour
Re-establishing reference levels helps assess evolving market structure
This case demonstrates how markets may remain within a defined range when degree completion does not occur.
Educational Takeaways
Major Gann levels help define structured reference zones
Markets do not always complete projected degree movements
Lack of degree completion may indicate reduced momentum
Observing degree progression helps improve analytical discipline
Structured analysis helps avoid forced or emotional decisions
This example highlights how Gann analysis can be used as a framework for observing market structure rather than predicting outcomes.
This post is shared purely for educational purposes to demonstrate the 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 | Gann Square of 9 Observation | Intraday Study 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 September 2022
Time Frame: 15-Minute Chart
Concept Studied: Gann Square of 9 (Gann Numbers / Price–Degree Relationship)
This idea presents a historical intraday observation of Axis Bank using the Gann Square of 9 framework to understand how calculated price–degree levels may influence short-term market behavior.
📊 Reference Point and Calculated Gann Numbers
During this session, Axis Bank initiated an upward move from a level near 794, which was treated as the 0-degree reference point.
Using the Square of 9 price-to-degree conversion, the following level was observed:
0 Degree: ~794
45 Degree: ~808
These calculated values are often referred to as “Gann numbers” and represent structured price zones derived from mathematical relationships.
⏱️ Intraday Price Behavior As the session progressed:
Price advanced steadily from the reference level
The 45-degree zone (~808) was reached before the late-session time window
Near this level, the market showed temporary pressure and hesitation
Upward momentum slowed, and price fluctuated within a limited range afterward
Such reactions near calculated degree levels are commonly observed in intraday structure studies and may indicate areas where supply-demand balance temporarily shifts.
📘 Educational Insights: Understanding Gann Numbers
Gann numbers are derived using mathematical price–degree conversion
These levels can act as potential reaction zones, not guaranteed reversal points
Market response at these levels may vary in strength
Time of arrival at a level can influence the type of reaction observed
Structured observation is more important than predicting exact outcomes
This example highlights how Gann-based price geometry can be used as a framework for studying intraday price structure objectively.
#AxisBank #GannSquareOf9 #WDGann #IntradayObservation #PriceTimeAnalysis #TechnicalEducation #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 Observation | 28 June 2023Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Symbol: AXISBANK (NSE)
Date Observed: 28 June 2023
Time Frame: 15-Minute Chart
Method: Gann Square of 9 (Normal Price Capacity Study)
This idea presents a historical intraday observation where Axis Bank’s price action aligned with a normal Square of 9 upside capacity level, followed by a visible reaction once price and time came into balance.
📊 Market Context & Reference Selection
During the session, Axis Bank showed upward momentum starting after the early candles.
In rising conditions, the low of the reference candle (~967) was treated as the 0-degree level, following commonly used Gann principles.
This reference was used to study the stock’s expected intraday price expansion, based on historical behavior.
The focus remains on measurement and observation, not prediction.
🔢 Square of 9 Level Mapping
Based on the selected reference:
0 Degree: ~967
45 Degree (Observed Normal Upside Capacity): ~983
The 45-degree level is often monitored as a potential reaction zone when price reaches it earlier in the session.
⏱️ Observed Price–Time Behavior
Price moved upward steadily from the reference area.
The 45-degree zone was reached around the later part of the session but still before the typical intraday time threshold.
After interacting with this zone, the market showed temporary selling pressure.
Such reactions have been historically observed when normal price capacity is completed early.
This behavior reflects the price–time balance concept, where movement completion can coincide with short-term pauses or reversals.
📘 Educational Takeaways
Importance of identifying a valid 0-degree reference
Measuring normal intraday price capacity using Square of 9
Observing time alignment along with price levels
Understanding reaction zones rather than fixed turning points
Maintaining a rule-based and emotion-free approach
This example demonstrates how structured analysis can help interpret intraday behavior objectively.
📌 Shared strictly for educational and historical chart-study purposes.
#AxisBank #GannSquareOf9 #WDGann #IntradayAnalysis #MarketEducation #PriceTime #TechnicalAnalysis #RuleBasedStudy
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 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.
NIFTY 50 BACKTEST OF 27TH AUGUST🔱27TH AUGUST 🔱 WILL PLAY A MAJOR ROLE THIS YEAR.
1️⃣High And Low Important
2️⃣Why Important - Backtest From 2001 To 2022
3️⃣You Will Know Its Importance
⚜️IF 27TH AUGUST IS A HOLIDAY NEXT WORKING DAY HIGH LOW IS IMPORTANT FOR WHOLE YEAR⚜️
#WEEKEND #LEARNING
PERSONALLY EXPECTING ON SIDE MOVE 😉















