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.
Gann
Axis Bank | Educational Study of Gann Square of 9 Degree Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Understanding Gann Square of 9 Behaviour
Educational Case Study – 06 April 2022
This chart study demonstrates how the Gann Square of 9 (SQ9) can be used to observe price interaction with predefined degree levels. The goal of this example is to understand how mathematically derived levels can highlight potential reaction zones and help study market structure in a disciplined way.
For this session, price was converted into degree levels using the Gann Square of 9 method. These levels were calculated before the intraday movement so that the analysis remained objective and rule-based.
Pre-Calculated Gann Degree Levels (Downside Reference)
0 Degree: ₹779
45 Degree: ₹765
90 Degree: ₹751
135 Degree: ₹738
180 Degree: ₹724
These levels acted as structured reference zones where price might show temporary balance, reaction, or pressure depending on market conditions.
Observed Market Behaviour
During the session, Axis Bank Ltd. showed downward movement from the reference zone near ₹779.
As price moved lower:
• The market approached intermediate zones but did not reach the 45-degree level near ₹765
• Momentum slowed before the projected degree distance was completed
• The chart displayed range-bound behaviour between calculated levels
This observation illustrates how price may remain between degree zones when projected levels are not reached.
Price–Degree Interaction Insight
In Gann methodology, price interaction with degree levels is studied to understand market structure.
During this case:
• The first key observation level was the 45-degree zone
• Price did not interact with this zone during the session
• The market therefore remained between predefined structural levels
This type of movement reflects a market environment where clear degree interaction is absent, which can provide insight into reduced directional momentum.
Educational Observations from This Case
This chart example highlights several important learning points:
• Gann Square of 9 converts price into structured degree relationships
• Degree levels can act as potential reaction zones
• Price may sometimes remain between projected levels without completing the expected distance
• Observing such behaviour helps improve understanding of market balance
• Structured analysis encourages disciplined chart observation
Key Learning Points
• Not every trading session produces a clear interaction with calculated degree levels
• Degree completion helps identify stronger structural reactions
• Absence of interaction with key levels may indicate temporary market balance
• Gann methodology focuses on observing price-degree relationships, not predicting outcomes
• Historical chart studies help traders understand price behaviour more objectively
This study is shared purely for educational purposes using historical market data.
Axis Bank | Educational Study of Gann Square of 9 Reaction ZonesDisclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Observing Gann Square of 9 Behaviour
Educational Case Study – 05 April 2022
This example demonstrates how Gann Square of 9 degree levels can be used to study potential reaction zones in price movement. The purpose of this study is to observe how price interacts with mathematically derived levels rather than to provide trading instructions.
For this session, price was converted into degree levels using the Gann Square of 9 method. These levels were calculated before the intraday movement to maintain an objective and rule-based approach.
Pre-Calculated Gann Degree Levels (Upside Reference)
0 Degree: ₹777
45 Degree: ₹791
90 Degree: ₹805
135 Degree: ₹819
180 Degree: ₹834
These levels represent structured reference zones where price may show temporary balance, reaction, or pressure depending on market conditions.
Observed Market Behaviour
During the session, Axis Bank began an upward move from the reference zone near ₹777.
As price progressed upward:
• Price approached the 45-degree level near ₹791
• Near this level, upward momentum slowed and the chart showed temporary resistance behaviour
• The market displayed observable selling pressure near this vibration level
This reaction illustrates how degree-based levels can act as potential reaction zones where price behaviour may temporarily change.
After interacting with this level, price moved lower during the session, reflecting how market participants sometimes respond near mathematically derived zones.
Time and Price Relationship Observation
In Gann methodology, both price movement and time interaction are often observed together.
During this case:
• The 45-degree level was reached within the active trading session
• Price behaviour near the degree level showed temporary pressure and reaction
• Such zones are studied as areas of observation rather than prediction
This reinforces the importance of observing price behaviour around predefined structural levels.
Educational Insights from This Example
This case study highlights several important concepts:
• Gann Square of 9 converts price into structured degree relationships
• Degree completion may highlight potential reaction zones
• Market behaviour near these zones can provide insights into price balance
• Pre-calculated levels help maintain disciplined analysis
• Structured observation improves understanding of market behaviour
The goal of such studies is to understand how price reacts around mathematical levels, rather than assuming guaranteed outcomes.
Key Learning Points
• Degree levels act as observation zones in market structure
• Reaction near vibration levels reflects changes in price momentum
• Not every level results in immediate directional continuation
• Structured analysis helps avoid random interpretation
• Gann methodology focuses on price–degree relationships
This example demonstrates how historical chart studies can help traders better understand price behaviour using Gann Square principles.
This study is shared purely for educational purposes using historical market data.
US500 | Liquidity Grab Before Expansion LowerPrice is currently retracing into a lower high supply zone (6700 – 6720) after forming a strong impulsive move from the downside. This area aligns with a previous distribution region, making it a high-probability reaction zone.
The market may attempt a short-term liquidity grab above the current range, but as long as price remains below the supply zone, the overall intraday bias remains bearish.
A rejection from this region could trigger the next leg down.
Bearish roadmap:
• Rejection from 6700 – 6720 supply
• Move toward internal OB around 6635
• Break of OB opens path toward 6615 demand
• Final liquidity draw sits near 6580
If price accepts above the supply zone, the bearish idea becomes invalid.
Key Levels
Supply: 6700 – 6720
OB: ~6635
Demand: 6615 – 6620
Liquidity Target: ~6580
Bitcoin Bybit chart analysis MARCH 12Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is a Bitcoin 30-minute chart.
Among the Nasdaq, gold, and Bitcoin, Bitcoin has the fastest turnover.
It's time for a trend to emerge,
but it's moving very frustratingly.
I'll follow the trend trading strategy.
We have a stop-loss level.
*When the red finger moves,
Long position strategy:
Before and after touching the first section of the purple finger at the top
1. After confirming the touch of the first section of the purple finger at the top,
Long position entry point at $70,384.1 at the bottom / Stop-loss level when the purple support line is broken
2. Long position first target at the top section: $72,577 -> Good. Second target price.
A true rebound occurs when the good section is reached.
If the purple finger fails to touch the first section,
the final long position strategy is to wait at the second section at the bottom
and the stop-loss level is set when the green support line is broken. (Sideways)
Below that, Bottom -> Please note that up to three positions are open.
Please note that my analysis is for reference only.
Please use it sparingly, and I hope you operate safely, following the rules and following stop-loss orders.
Thank you.
BRIAN XAUUSD – CPI as expected, FED remains hawkishBRIAN XAUUSD – CPI IN-LINE, FED STILL HAWKISH: GOLD IS TRADING A VALUE-TO-SUPPLY ROTATION
US CPI printed in line with expectations, but the market’s hawkish Fed pricing hasn’t really shifted. The bigger issue is the oil shock linked to Iran-war risk wasn’t fully reflected in that CPI print, so the next few sessions can stay headline-sensitive: quick liquidity sweeps, then direction only confirms once price accepts above key value areas.
Technical Structure (45m)
Gold is recovering intraday, but it’s still trading below stacked supply zones. The clean edge is to trade Volume Profile value (POC/VAL) into supply (Sell POC), not the mid-range noise.
Key Volume Profile Levels
Buy POC (Core demand): 5094–5097
This is the main absorption area. If the market is truly rebuilding, buyers must defend this zone on pullbacks.
Sell scalping VAL (First supply / decision cap): 5205
This is the first meaningful resistance where rebounds often stall. Acceptance above it is required for continuation.
Sell Zone POC (Major distribution / heavy supply): upper zone
The marked Sell Zone POC above is the larger supply pocket. If price reaches it, expect stronger selling pressure and sharper reactions.
Overhead supply layers (upper boxes)
These are extension/supply targets above the Sell Zone POC—use them as profit-taking and reaction zones.
What I’m watching today
Bullish pathway
Hold 5094–5097 on dips
Reclaim 5205 and show acceptance
Rotate into the Sell Zone POC overhead
Bearish pathway
Rejection at 5205
Rotation back into value
A clean break below 5094–5097 increases downside risk
Execution rules
Buy only from value (5094–5097) or after acceptance above 5205
Sell only on clear rejection at supply (5205 / Sell Zone POC)
Avoid entries mid-range where stop-sweeps are common
If you want, I can also compress this into a short TradingView Mind version using the same levels.
Part 1 Ride The Big Moves Types of Options
A. Call Options
Gives the buyer the right to buy an underlying asset at a strike price.
Profitable when the asset price goes up.
Example: Buy a call on Stock X with a strike of ₹100. If stock rises to ₹120, you can buy at ₹100 and sell at ₹120.
B. Put Options
Gives the buyer the right to sell an underlying asset at a strike price.
Profitable when the asset price goes down.
Example: Buy a put on Stock Y with a strike of ₹150. If stock falls to ₹130, you can sell at ₹150 and profit.
C. American vs European Options
American Options – Can be exercised anytime before expiry.
European Options – Can be exercised only on expiry date.
Most stock options are American; index options are usually European.
Bitcoin Bybit chart analysis MARCH 11
Hello
It's a Bitcoin Guide.
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You can receive real-time movement paths and comment notifications on major sections.
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Please click the booster button at the bottom.
This is Bitcoin's 30-minute chart.
The Nasdaq CPI indicator will be released shortly at 9:30 AM.
*When the light blue finger moves,
Short->Long switching.
This is a two-way neutral strategy.
Starting with long position 1 (purple finger),
1. $69,930 short position entry point / Stop loss price upon breaking the pink resistance line
2. $68,403.9 long position switch point / Stop loss price upon breaking the green support line
3. $71,250.1 long position first target -> Top second target price
If the price falls immediately without touching the short position entry point at the top,
then the final long position wait strategy is at the bottom, level 2.
(Downward-sloping sideways market)
Below that, the strategy is open from the bottom to up to level 3.
Up to this point, I ask that you use my analysis for reference only.
I hope you operate safely, with a focus on principled trading and stop-loss orders.
Thank you.
JINDALSAW 1 Month Time Frame 📊 JINDALSAW 1‑Month Support & Resistance Levels (Approximate)
Current Snapshot Price Range (mid‑term): ~₹185‑₹190 area (recent trading)
📍 Monthly Pivot Reference
Pivot Point: ~₹188.9 – ₹189.0 (used as central balance point)
🔼 Monthly Resistance Levels
R1: ~₹190.5 – ₹190.6
R2: ~₹191.8 – ₹192.0
R3: ~₹193.3 – ₹193.4
🔽 Monthly Support Levels
S1: ~₹187.5 – ₹187.6
S2: ~₹186.0 – ₹186.1
S3: ~₹184.6 – ₹184.7
💡 Interpretation for 1‑Month Trend:
A monthly close above ~₹191‑₹193 suggests strength and continuation toward higher resistance zones.
A break and close below ~₹185‑₹186 on monthly candle could turn sellers stronger and put price toward deeper support.
The levels above are typically derived from pivot and chart analysis based on recent price action not intraday noise and are useful for swing/trend‑based decisions on a 4‑week timeframe.
📌 Note: These are approximate pivot‑based levels and do not guarantee future movement. Markets are influenced by volume, broader indices moves, and news catalysts too.
Bitcoin Bybit chart analysis MARCH 10
Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is a Bitcoin 30-minute chart.
The Nasdaq indicators will be released shortly at 11:00 AM.
While this market is highly variable, I've developed a simple strategy centered on an upward trend.
*Red finger movement path:
1. $69,887.5 is the entry point for a long position / Stop loss if the purple support line is broken.
2. $73,605.2 is the first target for a long position -> Good. Second target.
The 72.5K level in the middle is a good re-entry point for a long position.
The first area at the bottom is a sideways market,
but if it breaks out, it could decline sharply.
Bottom -> Keep open up to area 2.
Please use my analysis to this point for reference only.
I hope you operate safely, adhering to principled trading and stop loss orders.
Thank you.
Axis Bank | Gann Square Degree Completion Study Disclaimer:
This analysis is for educational purposes only. I am not a SEBI-registered advisor. This is not financial advice.
Axis Bank | Understanding Gann Square Application in TradingView
Educational Study using WD Gann Degree Methodology
This case study demonstrates how Gann Square degree levels can be plotted and observed on TradingView to study structured market behaviour. Gann methodology converts price into degrees, allowing traders to identify mathematically derived zones where price may show reaction based on historical observation.
For this session, key Gann degree levels were calculated in advance using price-to-degree conversion tools. These levels were plotted before the intraday movement to maintain an objective and rule-based analytical framework.
Pre-Calculated Gann Degree Levels (Upside Reference)
0 Degree: ₹767
45 Degree: ₹781
90 Degree: ₹795
135 Degree: ₹809
180 Degree: ₹823
These levels served as predefined reference zones to observe how price interacts with important degree relationships.
Observed Market Behaviour Using Gann Degree Structure
Axis Bank initiated an upward movement from the reference zone near ₹767, which was marked as the 0-degree level.
As the session progressed:
• Price continued upward and reached the 45-degree level near ₹781
• Near this degree level, the market showed temporary resistance and slowed momentum
• Price behaviour near this zone reflected a potential reaction area based on degree completion
This observation aligns with the Gann principle that completed degree levels may act as important structural zones where price balance between buyers and sellers can temporarily change.
Time and Degree Relationship Observation
In Gann methodology, both time and price are observed together to study structured behaviour.
During this session:
• The 45-degree level was reached within the active intraday period
• Price interaction near this level reflected observable change in momentum
• Such zones are studied as potential reaction areas rather than predictive points
This reinforces the importance of observing degree completion in combination with intraday timing.
Educational Insights from This Case Study
This example demonstrates several important Gann concepts:
• Gann Square helps convert price into structured degree relationships
• Degree completion may highlight potential reaction zones
• Market behaviour near degree levels provides insight into price balance
• Pre-calculated levels help maintain disciplined and objective analysis
• Gann methodology focuses on observation of structure, not prediction
This case provides a clear example of how price interacts with mathematically derived reference zones using Gann Square analysis.
Key Learning for Educational Purpose
• Degree levels help define structured observation zones
• Reaction near degree levels reflects natural market balance
• Not all degree levels result in immediate directional continuation
• Structured analysis improves consistency and discipline
• Gann Square supports objective study of price behaviour
This study illustrates how Gann Square can be applied on TradingView charts for educational understanding of price and degree relationships.
This analysis is shared purely for educational purposes to demonstrate WD Gann methodology using historical market data.
Bitcoin Bybit chart analysis MARCH 9
Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is the Bitcoin 30-minute chart.
No Nasdaq indicators released.
The New Gap retracement has been completed.
Today, there are many important points from a medium-term perspective.
*When the red finger moves,
Long position strategy before and after the purple finger touches.
1. After touching the first section of the purple finger (autonomous shorting)
$67,151.6 long position switching / stop loss if the purple support line is broken.
2. $70,042.1 long position first target -> Top, second target.
If the price fails to touch the first section at the top and immediately falls,
$66,095.9 long position entry point in the second section / stop loss if the green support line is broken.
- After breaking out of the second section, the bottom -> the maximum is $64,408.
$64,408 is a level that should not be broken in a medium-term uptrend. If it touches, please watch to see if it holds until the end of the month.
- A breakout of the orange resistance line is considered a true rebound.
Please use my analysis to this point for reference only.
I hope you operate safely, with a principled trading strategy and stop-loss orders essential.
Thank you.
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.
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.
Bitcoin Bybit chart analysis MARCH 6Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is Bitcoin's 30-minute chart.
The Nasdaq indicators will be released shortly at 10:30 AM.
The MACD is forming a dead cross on the 6-hour chart.
*When the red finger moves,
Long position strategy:
Before and after the first touch of the purple finger at the top
1. After confirming the first touch of the purple finger (autonomous shorting)
Switch to a long position at $70,355.6 (red finger) / Set a stop loss if the purple support line is broken
2. $72,577 long position initial target -> Target prices are Good, Great, and so on.
If the price fails to touch the first section at the top and immediately falls,
Wait for a final long position at section 2 / Set a stop loss if the green support line is broken
In short-term patterns, maintaining the purple support line is recommended
for long positions.
After breaking the green support line,
it could fall to the bottom -> 3 range over the weekend.
Gold is currently losing some strength,
so a significant move could occur over the weekend.
Please use my analysis as a reference only.
I hope you operate safely, with a focus on principled trading and stop-loss orders.
Thank you.
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.
Investing in Funds: A Simple ExplanationWhat Are Investment Funds?
An investment fund is a pool of money collected from many investors. This money is then invested in a variety of financial assets according to a specific strategy. Each investor owns units or shares of the fund, which represent a portion of the total investments held by the fund.
Investment funds are managed by professional portfolio managers who research markets, analyze companies, and decide where to invest the money. Their goal is to generate returns for the investors while managing risk.
Funds are suitable for beginners because they allow people to invest in a diversified portfolio without needing deep knowledge of the financial markets.
Types of Investment Funds
There are several types of funds available for investors. Each type has different risk levels, return potential, and investment strategies.
1. Mutual Funds
Mutual funds are one of the most common investment options. In a mutual fund, money from many investors is pooled together and invested in stocks, bonds, or other securities. These funds are actively managed by professional managers.
Mutual funds can be categorized into several types:
Equity funds: Invest mainly in stocks and offer higher return potential but also higher risk.
Debt funds: Invest in bonds and fixed-income securities, providing relatively stable returns with lower risk.
Hybrid funds: Invest in both stocks and bonds to balance risk and return.
Index funds: Track a market index such as Nifty 50 or Sensex.
Mutual funds are popular because they provide diversification, professional management, and accessibility to small investors.
2. Exchange-Traded Funds (ETFs)
Exchange-Traded Funds are similar to mutual funds but are traded on stock exchanges like individual stocks. Investors can buy and sell ETF units throughout the trading day.
ETFs usually track a specific index, sector, commodity, or asset class. Because they are passively managed, their management fees are generally lower than mutual funds.
ETFs are suitable for investors who want flexibility and lower costs while still gaining diversification.
3. Hedge Funds
Hedge funds are specialized investment funds designed mainly for high-net-worth individuals and institutional investors. These funds use advanced strategies such as short selling, derivatives trading, leverage, and arbitrage.
The main goal of hedge funds is to generate high returns regardless of market conditions. However, they often involve higher risk and require large minimum investments.
4. Index Funds
Index funds are passive funds designed to replicate the performance of a specific market index. Instead of actively selecting stocks, the fund simply invests in the same companies that make up the index.
For example, an index fund tracking the Nifty 50 will invest in the same 50 companies in the same proportion as the index.
Index funds are popular because they offer low costs, transparency, and consistent market-level returns.
Advantages of Investing in Funds
Investing in funds provides several benefits, especially for new investors.
Diversification:
Funds invest in many different securities. This spreads risk and reduces the impact of poor performance from a single investment.
Professional management:
Fund managers conduct research and make investment decisions on behalf of investors.
Accessibility:
Many funds allow investors to start with a small amount of money through systematic investment plans (SIPs).
Liquidity:
Most funds allow investors to buy or sell units easily.
Convenience:
Investors do not need to track individual stocks daily because professionals manage the portfolio.
Risks of Investing in Funds
Although funds offer many advantages, they are not risk-free.
Market risk:
If the overall market declines, the value of the fund may also fall.
Management risk:
Poor decisions by the fund manager may affect returns.
Expense ratio:
Funds charge management fees, which can reduce overall returns.
Liquidity risk:
Some specialized funds may not be easy to sell quickly.
Investors should carefully review the fund’s objectives, risks, and costs before investing.
How to Invest in Funds
Investing in funds has become very easy due to online platforms and mobile apps. Investors can follow these simple steps:
Set financial goals such as retirement, education, or wealth creation.
Assess risk tolerance and investment horizon.
Choose the appropriate type of fund.
Open an investment account through a brokerage or fund house.
Invest a lump sum or start a systematic investment plan (SIP).
Monitor the performance periodically.
Systematic Investment Plan (SIP)
A SIP allows investors to invest a fixed amount regularly, usually every month. This strategy helps investors benefit from rupee cost averaging, which means buying more units when prices are low and fewer units when prices are high.
SIPs also encourage disciplined investing and long-term wealth creation.
Long-Term Benefits of Fund Investing
Investing in funds over the long term can help individuals build significant wealth. Compounding plays a major role in long-term investing. When returns are reinvested, the investment grows faster over time.
For example, if an investor regularly invests in equity funds for 15–20 years, the compounding effect can create substantial financial growth.
Long-term investing also helps investors manage market volatility because short-term fluctuations become less significant over time.
Conclusion
Investing in funds is an effective way for individuals to participate in financial markets without needing expert knowledge. Funds offer diversification, professional management, and accessibility, making them suitable for both beginners and experienced investors.
Different types of funds, such as mutual funds, ETFs, index funds, and hedge funds, provide options for different investment goals and risk levels. However, investors should always understand the risks involved and choose funds that match their financial objectives.
By investing regularly, staying disciplined, and focusing on long-term growth, individuals can use investment funds as a powerful tool for wealth creation and financial security.
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.
Bitcoin Bybit chart analysis MARCH 5Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is a 30-minute Bitcoin chart.
There's a Nasdaq indicator release at 10:30 AM.
In the lower left corner, the purple finger connects the strategy to the $70,982.8 level, which was reached on March 4th.
*When the red finger moves, long position strategy is based on the purple finger touch before and after.
1. After confirming the first touch of the purple finger at the top,
switch to a long position at $72,577 at the red finger at the bottom.
/Stop-loss price if the green support line is broken.
2. Long position at $76,526: 1st target -> Good -> Great.
If the price immediately falls without touching the first section of the purple finger at the top, place a final long position at section 2.
Stop-loss price if the green support line is broken.
(The same stop-loss price applies to those holding a long position at $70,982.8 yesterday.)
After the green support line is broken,
the bottom section is open -> up to section 3.
A breakout of the pink resistance line at the top is considered a true rebound.
A strong breakout could mark the current price floor, so please keep this in mind.
Please use principled trading and stop-loss orders to ensure safe trading.
Thank you.
Bitcoin Bybit chart analysis MARCH 4
Hello
It's a Bitcoin Guide.
If you "follow"
You can receive real-time movement paths and comment notifications on major sections.
If my analysis was helpful,
Please click the booster button at the bottom.
This is a Bitcoin 30-minute chart.
There's a Nasdaq indicator release at 12 o'clock.
We've been aggressively operating in line with the gold decline and the Nasdaq pattern.
*Red finger movement path:
Long position strategy
1. $70,982.8 is the entry point for a long position / Stop loss if the purple support line is broken
2. $76,526 is the first target for a long position -> Good, second target
If the strategy is successful, 73.7K is the point to re-enter the long position.
This strategy targets a vertical rise. If the orange resistance line is broken today,
a true rebound will be confirmed and could connect to an uptrend.
The first section below is an upward sideways market. Below that, the bottom is the risky area.
Up to section 2 is open.
Up to this point, I ask that you use my analysis for reference only.
I hope you operate safely, with a focus on principled trading and stop-loss orders.
Thank you.






















