How to Spot Trend Changes Using Simple Market StructureMastering Market Structure: Where to Find the Best Trading Setups in line with simple observation done using Price action .
Wave Analysis
ETHUSD - Ready for Up Move after Strong OBBITSTAMP:ETHUSD Created Strong Consolidation , Support Zone in Parrllel Creating Higher low Higher Low With Stong OB in 4HR TF , above we SELL OB in 4HR
ITC 1D Time frame📊 Updated Snapshot
Current Price: ~₹405
Day Range: ₹402 – ₹410
52-Week High: ₹499
52-Week Low: ₹399
📈 Technical Outlook
Support Zones:
Strong support at ₹405 (current zone)
Next support at ₹398
Resistance Zones:
Immediate resistance at ₹410–₹416
Next resistance at ₹421
Trend Bias: Weak bearish → stock is near 52-week low, testing crucial support.
📌 Step-by-Step View
If it holds above ₹405–₹398: Buyers may step in, possible bounce toward ₹416–₹421.
If it breaks below ₹398: More downside risk opens, weakness can extend further.
Upside revival only above ₹421 closing: That will change trend toward bullish.
RBL Bank - Looks like Wave 3 CandidateOne can start accumulating RBL for a period of 1 year or so
Might head towards 400 levels
SL 220 WCB
Disc: DYOR
Axis Bank Bullish Long Term ActivationKey Points
Trend Type- Long Term
Rally is already started, but still a long way to go up.So buy on retracements.
If you have the stock than hold it for few months and more.
Like and share is appreciated.
Thank You
To understand how our coding works read the below post-
NSE:AXISBANK
SBI BANK |Neowave AnalysisNamaskaram Everyone
I trade using Neowave and on that I have created an trading setup, which is kind of automatic entry and exit with Neowave.
Neowave is kind of a method in which you synchronize all the price action across all the time frames. It hides all the noise and tells you market is bullish or bearish.
About Stock
This is not a trading idea, it would have been if updated few weeks back. Just a neowave counts update for some one who is already holding the stock.
Stock already started its rally in correction, if you get some retracement than buy it.
For coding style read the below post
If you have the stock than hold it and trail it as the counts proceed in future.
Like and share is appreciated.
Thank You
To understand how our coding works read the below post-
NSE:SBIN
IndusInd Bank BearishNamaskaram Everyone
I trade using Neowave and on that I have created an trading setup, which is kind of automatic entry and exit with Neowave.
Neowave is kind of a method in which you synchronize all the price action across all the time frames. It hides all the noise and tells you market is bullish or bearish.
About Stock
This is not a trading Idea, just a structural update for someone who is thinking to invest.
Creating Nifty 50 Neowave Charts Library for all of you, Like and share is appreciated if you like our work.
Thank You
To understand how our coding works read the below post-
NSE:INDUSINDBK
Kotak Mahindra Bank Neowave Trading IdeaNamaskaram Everyone
I trade using Neowave and on that I have created an trading setup, which is kind of automatic entry and exit with Neowave.
Neowave is kind of a method in which you synchronize all the price action across all the time frames. It hides all the noise and tells you market is bullish or bearish.
About Stock Structure
Entry Type- Medium Term Forecast mean Entry will take 4 to 8 weeks and some times more.
Wave Structure- We are at starting point of wave, which kind of gives you an edge in riding the wave when you above your buying level
60 percent Retracement- Mean you will have easily 1:2 or 3 easy risk reward.
Doubts-If you are fearing in taking trades that mean you are taking stop loss amount more than you & your capital can handle.
Follow 1 percent rule and trail, that's it. Don't complicate life and trading.
Simply live and die. HaHA
Like and share is appreciated.
Thank You
To understand how our coding works read the below post-
NSE:KOTAKBANK NSE:KOTAKBANK1!
Back to 4H Frame – Fed & Inflation Shape Gold PathGold on the 4H timeframe is consolidating near premium supply after multiple liquidity sweeps. Recent U.S. inflation data kept the dollar resilient, while traders anticipate upcoming Fed commentary for clearer policy direction. Price rejected from the 3,795 supply pocket and is now retracing toward discount demand zones. Market structure suggests engineered sweeps below support before bullish continuation into Q4.
________________________________________
📌 Key Structure & Liquidity Zones (4H):
• 🔼 Buy Zone 3,692 – 3,694 (SL 3,685): Discount demand aligned with liquidity grab, ideal for continuation longs.
• 🔽 Sell Zone 3,795 – 3,797 (SL 3,804): Premium supply pocket where liquidity sweeps may trigger short-term rejections.
________________________________________
📊 Trading Ideas (Scenario-Based):
🔺 Buy Setup – Discount Demand Reaction
• Entry: 3,692 – 3,694
• Stop Loss: 3,685
• Take Profits:
TP1: 3,715
TP2: 3,740
TP3: 3,760+
👉 Smart money may engineer a sweep below 3,694 before reversing higher. Watch for bullish rejection patterns at demand.
🔻 Sell Setup – Premium Supply Reaction
• Entry: 3,795 – 3,797
• Stop Loss: 3,804
• Take Profits:
TP1: 3,780
TP2: 3,765
TP3: 3,750
👉 Short-term liquidity scalp opportunity against trend. Valid if price fails to break above breakout point.
________________________________________
🔑 Strategy Note
Bias remains bullish medium-term, but intraday sweeps into demand zones are expected as Fed officials continue to push cautious monetary guidance. Liquidity hunts around 3,795 supply and 3,694 demand will likely define the week’s volatility before a decisive breakout.
LT 1 Week View📊 Weekly Price Range (Sep 22–26, 2025)
High: ₹3,794.90
Low: ₹3,661.00
Closing Range: ₹3,642.15 – ₹3,731.10
Average Closing Price: ₹3,673.80
Trading Volume: Significantly above average, with 241,575 shares traded on September 26, compared to the 50-day average of 126,661 shares.
🔧 Technical Indicators
Relative Strength Index (RSI): Indicates bullish momentum.
Moving Averages: Both 50-day and 200-day moving averages suggest a positive trend.
MACD & Stochastic Oscillator: Both indicators are aligned with upward momentum.
Volume Delivery: High delivery volumes suggest strong investor confidence.
📈 Weekly Outlook
Support Levels: ₹3,660 and ₹3,530
Resistance Levels: ₹3,800 and ₹3,850
Target Range: ₹3,671.35 to ₹3,853.05
Bank Nifty 1 Hour View📊 Bank Nifty 1-Hour Time Frame Analysis
🔹 Current Market Snapshot
Closing Price (Sep 26, 2025): ₹54,389.35
Day's Range: ₹54,310.95 – ₹54,897.00
52-Week Range: ₹47,702.90 – ₹57,628.40
Trend: Neutral
🔹 Key Support and Resistance Levels
Opening Support/Resistance Zone: ₹54,935 – ₹54,971
Immediate Resistance: ₹55,167
Last Intraday Resistance: ₹55,368
Last Intraday Support: ₹54,698
Deeper Support: ₹54,545
🔹 Market Scenarios
Gap-Up Opening (200+ points):
A gap-up above ₹55,150–₹55,200 will immediately test the Opening Resistance at ₹55,167. Sustaining above this zone may extend the rally towards the last intraday resistance at ₹55,368.
A breakout above ₹55,368 could invite further bullish momentum.
However, if Bank Nifty fails to hold above ₹55,167, it may retrace back to the support zone around ₹54,971.
Educational Note: Gap-ups often invite early profit booking. Always confirm sustainability above resistance levels before initiating aggressive long trades.
Flat Opening (within ±200 points):
A flat start near ₹54,900–₹55,000 means Bank Nifty will trade directly around the Opening Support/Resistance Zone (₹54,935 – ₹54,971).
Holding above ₹54,971 will give buyers confidence to push towards ₹55,167 → ₹55,368.
A failure to sustain above this zone may drag the index down towards ₹54,698 and possibly ₹54,545.
Educational Note: Flat openings provide clearer setups as price tests both support and resistance zones naturally, giving traders better confirmation of direction.
Gap-Down Opening (200+ points):
A gap-down below ₹54,750 will put immediate pressure on Bank Nifty, exposing the Last Intraday Support at ₹54,698.
Use hourly candle close for stop-loss confirmation to prevent whipsaws.
Avoid naked options in high volatility; instead, use spreads (like Bull Call or Bear Put spreads) to limit premium decay.
Maintain a strict 1:2 risk-to-reward ratio.
Never chase trades out of emotion. Scale into trades gradually rather than going all-in at once.
📈 Technical Indicators Overview
Trend: Neutral
Moving Averages: Not specified
RSI (Relative Strength Index): Not specified
MACD (Moving Average Convergence Divergence): Not specified
Stochastic Oscillator: Not specified
Volume: Not specified
✅ Trading Strategy Recommendations
Long Positions: Consider initiating long positions if Bank Nifty sustains above ₹55,167, with a target towards ₹55,368.
Short Positions: Be cautious of short positions unless a clear breakdown below ₹54,698 is observed, with a subsequent target towards ₹54,545.
Breakout Confirmation: Always wait for confirmation (e.g., a 15-minute close) above or below key levels before entering trades.
Risk Management: Employ stop-loss orders to protect against adverse market movements.
Tools and Techniques for Macro Risk Analysis1. Introduction to Macro Risk
Macro risk stems from changes in the broader economic environment that can affect business performance and investment outcomes. Unlike micro risks, which are specific to a company or sector, macro risks include interest rate changes, inflation, exchange rate fluctuations, geopolitical tensions, regulatory changes, and natural disasters. Recognizing these risks and their potential impact is critical for investors, policymakers, and corporate leaders.
1.1 Importance of Macro Risk Analysis
Portfolio Protection: Helps investors shield their investments from systemic shocks.
Strategic Decision Making: Assists businesses in planning for long-term stability.
Policy Formulation: Supports governments in anticipating economic disruptions.
Risk Mitigation: Allows firms to design hedging strategies to counter adverse impacts.
2. Categories of Macro Risk
Understanding macro risk requires identifying its major types:
Economic Risk: Includes GDP growth fluctuations, unemployment, inflation, deflation, and recessions.
Financial Risk: Interest rate changes, credit crises, liquidity shortages, and asset bubbles.
Political/Regulatory Risk: Geopolitical tensions, elections, policy reforms, sanctions, and regulatory shifts.
Environmental Risk: Natural disasters, climate change, pandemics, and resource scarcity.
Global Interconnected Risks: Contagion from foreign markets, global trade disputes, and currency crises.
Each category requires specific tools and techniques to assess and quantify its impact on investments or business operations.
3. Tools for Macro Risk Analysis
Macro risk analysis leverages both qualitative and quantitative tools. These tools help analysts evaluate potential threats, simulate scenarios, and make informed decisions.
3.1 Economic Indicators
Economic indicators are statistical measures reflecting the current and future state of an economy.
Leading Indicators: Predict economic trends (e.g., stock market indices, new orders in manufacturing, consumer sentiment).
Lagging Indicators: Confirm trends after they occur (e.g., unemployment rates, corporate profits).
Coincident Indicators: Show the current state of the economy (e.g., GDP, industrial production).
Applications:
Forecasting recessionary periods.
Monitoring inflationary pressures.
Evaluating consumer confidence and demand trends.
3.2 Econometric Models
Econometric models employ mathematical and statistical techniques to quantify macroeconomic relationships.
Time Series Models: Analyze trends, cycles, and seasonal effects (e.g., ARIMA, VAR models).
Regression Analysis: Determines the impact of independent variables on macroeconomic outcomes.
Structural Models: Incorporate economic theory to predict responses to policy changes.
Applications:
Forecasting GDP, inflation, and employment.
Evaluating the effect of interest rate changes on investments.
Stress testing financial portfolios under macroeconomic shocks.
3.3 Scenario Analysis
Scenario analysis explores potential future states by constructing hypothetical situations based on different assumptions.
Best-case Scenario: Optimistic conditions for economic growth.
Worst-case Scenario: Severe economic disruptions, recessions, or financial crises.
Most-likely Scenario: Moderately realistic assumptions based on historical trends.
Applications:
Strategic planning and budgeting.
Risk-adjusted investment allocation.
Crisis management and contingency planning.
3.4 Stress Testing
Stress testing involves simulating extreme but plausible macroeconomic events to assess the resilience of a system or portfolio.
Types of Stress Tests:
Interest rate shocks
Currency devaluation
Oil price shocks
Credit crunch simulations
Applications:
Banks assess capital adequacy under financial stress.
Corporations evaluate supply chain vulnerabilities.
Investment funds analyze portfolio resilience.
3.5 Financial Risk Models
Financial models are central to quantifying the impact of macroeconomic variables on markets and portfolios.
Value-at-Risk (VaR): Estimates the maximum loss under normal market conditions over a specific timeframe.
Conditional Value-at-Risk (CVaR): Measures the average loss in worst-case scenarios beyond VaR.
Monte Carlo Simulation: Uses random sampling to model potential outcomes of portfolios under uncertain macroeconomic conditions.
Applications:
Risk quantification for investment portfolios.
Determining capital reserves for banks and insurance firms.
Scenario-based decision support for fund managers.
3.6 Macro-Financial Mapping
Macro-financial mapping links macroeconomic indicators to asset prices, interest rates, and corporate earnings.
Yield Curve Analysis: Examines interest rate expectations and recession probabilities.
Credit Spread Analysis: Measures risk perception in corporate and sovereign debt.
Equity Market Sensitivity: Assesses sectoral vulnerability to economic shocks.
Applications:
Portfolio diversification and asset allocation.
Monitoring systemic risk in financial markets.
Policy evaluation and investment forecasting.
3.7 Big Data and AI Tools
Modern macro risk analysis increasingly relies on big data analytics, machine learning, and artificial intelligence.
Text Analysis: Scraping news, reports, and social media to detect emerging risks.
Predictive Analytics: Machine learning models forecast macroeconomic trends.
Real-time Monitoring: AI platforms track global economic indicators continuously.
Applications:
Early warning systems for financial crises.
Risk scoring for investment decisions.
Automated scenario simulations.
4. Techniques for Macro Risk Analysis
Macro risk analysis requires methodical approaches to interpret the tools effectively.
4.1 Historical Analysis
Examining past macroeconomic events provides insights into potential future risks.
Crisis Analysis: Study past recessions, depressions, and financial crises.
Correlation Analysis: Identify how macroeconomic variables move together.
Trend Analysis: Detect long-term patterns in economic growth, inflation, or interest rates.
Applications:
Identifying systemic vulnerabilities.
Learning from previous policy interventions.
Anticipating market responses to similar events.
4.2 Sensitivity Analysis
Sensitivity analysis measures how changes in macroeconomic variables affect financial performance or portfolio returns.
Single-variable Analysis: Change one macro factor while holding others constant.
Multi-variable Analysis: Explore combined effects of multiple macro factors.
Applications:
Determining exposure to interest rates, inflation, or currency fluctuations.
Strategic risk planning for multinational operations.
Stress testing investment portfolios.
4.3 Risk Mapping
Risk mapping visualizes and prioritizes macro risks based on their probability and impact.
Risk Matrix: Plots risks by severity and likelihood.
Heat Maps: Color-coded representation of risk intensity across regions or sectors.
Impact Chains: Trace how a macro event propagates through industries and markets.
Applications:
Communicating macro risks to stakeholders.
Designing risk mitigation strategies.
Resource allocation for risk management initiatives.
4.4 Leading-Lagging Indicator Technique
This technique uses the relationship between leading and lagging indicators to forecast macroeconomic trends.
Leading Indicators: Predict future economic activity (e.g., stock indices, PMI, consumer confidence).
Lagging Indicators: Confirm trends (e.g., employment, wages, industrial production).
Applications:
Anticipating recessions or growth cycles.
Adjusting investment strategies based on economic signals.
Timing corporate expansions or contractions.
4.5 Expert Judgment and Delphi Technique
In uncertain macroeconomic environments, expert opinion can supplement quantitative models.
Delphi Method: Iterative consultation with experts to reach consensus forecasts.
Scenario Workshops: Experts develop and test plausible macroeconomic scenarios.
Applications:
Evaluating geopolitical risks.
Assessing regulatory changes and policy shifts.
Enhancing qualitative inputs to decision-making models.
4.6 Macroeconomic Stress Indices
Specialized indices provide consolidated measures of macro risk.
Economic Policy Uncertainty Index: Tracks uncertainty in government policies.
Financial Stress Index: Measures stress in banking, credit, and financial markets.
Geopolitical Risk Index: Quantifies the potential impact of political events.
Applications:
Monitoring systemic risk over time.
Incorporating macro risk into portfolio allocation.
Benchmarking macroeconomic conditions across countries.
5. Integrating Tools and Techniques
Macro risk analysis is most effective when tools and techniques are integrated.
Multi-factor Models: Combine economic indicators, stress tests, and financial simulations.
Real-time Dashboards: Integrate big data, AI models, and macro indices for continuous monitoring.
Scenario-based Planning: Use stress tests and scenario analysis together to prepare for extreme events.
Risk Governance: Establish structured frameworks to act on insights from macro risk analysis.
6. Challenges in Macro Risk Analysis
While macro risk analysis is essential, it faces several challenges:
Data Limitations: Incomplete or inaccurate macroeconomic data.
Model Risk: Over-reliance on models may miss black swan events.
Global Interconnections: Complexity of interdependent global markets.
Behavioral Factors: Human decision-making and market sentiment can defy models.
Policy Uncertainty: Sudden regulatory or geopolitical changes can invalidate assumptions.
7. Best Practices for Effective Macro Risk Analysis
Diversification of Tools: Combine qualitative and quantitative approaches.
Continuous Monitoring: Track macroeconomic indicators and market developments regularly.
Scenario Flexibility: Update scenarios as new data emerges.
Cross-functional Collaboration: Engage economists, financial analysts, and strategists.
Integration with Strategy: Embed macro risk analysis in investment, operational, and policy decisions.
8. Conclusion
Macro risk analysis is an indispensable component of modern financial and corporate risk management. Through a combination of traditional economic indicators, advanced statistical models, scenario planning, stress testing, and AI-driven analytics, organizations can identify, quantify, and mitigate risks arising from the broader economic environment. While challenges exist, integrating multiple tools and techniques into a cohesive framework enables investors, policymakers, and businesses to navigate uncertainties, enhance decision-making, and build resilience against systemic shocks.
Smart Money Secrets: for Traders and Investors1. Understanding Smart Money
1.1 Definition
Smart money is the capital invested by market participants who are considered well-informed and have access to insights not readily available to the average investor. This includes hedge funds, institutional investors, central banks, and professional traders.
1.2 Characteristics of Smart Money
Trades based on research and analysis rather than emotions.
Moves in large volumes, which can create or absorb market liquidity.
Often enters and exits positions before major price movements become apparent to the public.
Employs risk management techniques to protect capital.
1.3 Types of Smart Money
Institutional investors: Pension funds, insurance companies, and mutual funds.
Hedge funds: Aggressive and opportunistic traders who exploit inefficiencies.
Corporate insiders: Executives and directors with insight into company performance.
High-net-worth individuals: Wealthy investors with access to sophisticated tools.
2. The Psychology of Smart Money
2.1 Market Sentiment vs. Smart Money
Retail investors often follow trends driven by fear and greed. Smart money, in contrast, takes contrarian positions when market sentiment becomes extreme. Recognizing these psychological patterns is key to understanding smart money behavior.
2.2 Contrarian Mindset
Smart money often profits by going against the crowd. When retail investors panic-sell, smart money accumulates. When retail investors euphorically buy, smart money may reduce exposure.
2.3 Patience and Discipline
Unlike retail traders seeking quick profits, smart money emphasizes long-term strategy, waiting for the optimal entry and exit points while minimizing emotional decisions.
3. Identifying Smart Money Movements
3.1 Volume Analysis
Large transactions often indicate the presence of smart money. Unusual spikes in volume, especially during consolidations or breakouts, suggest accumulation or distribution.
3.2 Price Action
Accumulation phase: Prices remain steady while smart money accumulates.
Markup phase: Prices rise sharply once accumulation reaches critical mass.
Distribution phase: Smart money starts selling at higher prices, signaling potential market reversal.
3.3 Open Interest and Futures Markets
Tracking futures and options open interest can reveal where smart money is positioning itself, especially in index derivatives.
3.4 Insider Activity
Corporate filings, insider buying, and regulatory disclosures often provide insight into the intentions of institutional investors.
4. Smart Money Trading Strategies
4.1 Trend Following
Smart money often identifies long-term trends early and rides them while retail investors react late. Using moving averages, trendlines, and market structure analysis can help retail traders follow this strategy.
4.2 Contrarian Trading
Taking positions opposite to extreme market sentiment allows traders to mirror smart money’s contrarian approach. Tools include:
Fear & Greed Index
Sentiment surveys
Overbought/oversold technical indicators
4.3 Liquidity Seeking
Smart money looks for liquidity to enter and exit positions efficiently. Retail traders can observe support/resistance zones, order blocks, and volume clusters to anticipate these movements.
4.4 Risk Management Techniques
Smart money is meticulous about risk:
Position sizing according to volatility
Stop-loss and take-profit discipline
Portfolio diversification
Hedging through options and derivatives
5. Tools to Track Smart Money
5.1 Volume Profile
Analyzing the distribution of volume at different price levels reveals where smart money accumulates or distributes positions.
5.2 Commitment of Traders (COT) Report
Weekly reports by the Commodity Futures Trading Commission show positions of institutional traders in futures markets.
5.3 Dark Pools
These are private exchanges where large blocks of shares are traded without impacting the market price. Observing dark pool activity helps identify hidden smart money movements.
5.4 Order Flow and Level II Data
Real-time order book analysis shows buy/sell pressure, helping traders spot smart money activity.
6. The Role of News and Information
6.1 Information Asymmetry
Smart money benefits from superior research, analyst reports, and early access to economic data. Retail traders can mimic this by using:
Economic calendars
Corporate earnings reports
Global geopolitical news
6.2 Market Manipulation Awareness
Smart money may sometimes influence sentiment to create favorable trading conditions. Understanding rumors, headlines, and sudden price swings can reveal manipulative setups.
7. Common Mistakes Retail Traders Make
7.1 Chasing the Market
Retail traders often enter trades after prices have already moved significantly, missing smart money accumulation phases.
7.2 Ignoring Risk Management
Without strict stop-losses and position sizing, retail traders are vulnerable to sudden reversals caused by smart money activity.
7.3 Emotional Trading
Fear, greed, and FOMO (fear of missing out) cause retail traders to act impulsively, while smart money trades systematically.
7.4 Misreading Technical Signals
Retail traders may over-rely on lagging indicators without understanding the underlying smart money context.
8. Practical Ways to Trade Like Smart Money
8.1 Follow the Volume
Pay attention to unusually high volume on price consolidations and breakouts.
8.2 Identify Support and Resistance
Smart money often enters near strong support levels and exits near resistance zones.
8.3 Use Multiple Time Frames
Smart money thinks long-term, but retail traders often focus on short-term charts. Combining higher and lower time frames can reveal accumulation and distribution phases.
8.4 Leverage Risk Management Tools
Smart money always protects capital; stop-losses, position sizing, and diversification are crucial for sustainable trading.
8.5 Patience and Observation
Wait for clear signs of accumulation or distribution before taking positions. Impulsive trades rarely follow smart money logic.
9. Advanced Concepts
9.1 Wyckoff Method
A method focused on accumulation, markup, distribution, and markdown phases, providing a framework for identifying smart money moves.
9.2 Order Blocks
Price zones where large institutions enter or exit positions, causing market reactions when revisited.
9.3 Liquidity Voids and Fair Value Gaps
Smart money often exploits these areas to move prices efficiently.
9.4 Sentiment Divergence
Comparing retail trader positioning with price movements can reveal where smart money is operating.
10. Building Your Own Smart Money Strategy
10.1 Research and Analysis
Study institutional filings, economic indicators, and market reports.
Track sector rotation and capital flow.
10.2 Develop a Trading Plan
Define goals, risk tolerance, and trading rules.
Use a combination of technical and fundamental analysis to align with smart money.
10.3 Backtesting and Simulation
Test strategies using historical data.
Refine techniques before committing real capital.
10.4 Continuous Learning
Markets evolve, and smart money adapts. Stay informed, refine methods, and observe institutional behavior over time.
Conclusion
Understanding smart money secrets is about more than copying trades—it’s about observing market structure, sentiment, and capital flows with a critical, analytical mindset. By combining patience, risk management, and the right analytical tools, retail traders can align themselves with the strategies of professional investors, reduce risk, and increase the probability of long-term success. Smart money isn’t just about having more capital—it’s about discipline, insight, and precision in every market move.
Nifty heading towards BottomNifty after last week high and Hanging man activated stright coming down to 24000 then Buy for next 6 months Nifty Bees
Natural gas 268-260 dip possible then buy upside 295-302 target Natural gas updated levels given on chart initially 268-260 fall possible then buy upside 295-302 upside short term target for next 2 -3 weeks
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Banknifty updated levels,sell on rise will continue NPA issueHow My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Nifty updated levels next week 150-200 points bounce then sell Nifty updated levels given on chart short term 150-200 points bounce possible then. Again fall from 24950-25050
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Crude mcx updated levels buy on dip until 5650 not break Crude mcx updated levels given on chart buy in dip until 5650 not break
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Silver mcx updated levels buy near support 50$ 1st on comex comeSilver mcx updated levels given on chart,silver mcx 10-12 % upside still possible, silver will try to break previous ATH and make fresh ATH
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Good mcx updated levels until 112100 not break buy on dipGold mcx updated levels until 112100 not break uptrend will continue, buy on dip near support
How My Harmonic pattern projection Indicator work is explained below :
Recent High or Low :
D-0% is our recent low or high
Profit booking zone ( Early / Risky entry) : D 12.3% -D 16.1 % is
range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed
SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade
Target : T1, T2, T3, T4 and .
Are our Target zone
Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active.
Total we have 7 important level which are support and resistance area
Until , 16% not break uptrend will continue if break then profit booking will start.
If break 25% then fresh downtrend will start then T1, T2,T3 will activate
1,3,5,10,15,20 minutes are short term levels.
30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
Elliott Wave Analysis Nifty Midcap 100 _ CNXMIDCAP100(ii) of 1st seems to be ending with
combination corrective pattern of a flat and a zigzag.
2nd leg of zigzag to begin after a bounce in (B)
That means the meeting/decision on rate cut might lead to "Buy the rumour and sell the news" incident for the markets.
Traders Watch Gold Surge Ahead of Fed’s Next MoveGold 1H – Consolidation Before Fed Clarity
Gold on the 1H timeframe is currently trading around 3,746, moving within a well-defined consolidation range. Price action highlights a premium supply zone at 3,775–3,773 and a discount demand zone at 3,723–3,725. The market structure shows earlier signs of BOS and ChoCH, with engineered liquidity sweeps becoming evident. A potential Mitigation → Expansion sequence is in play, where a liquidity grab near discount demand could fuel a bullish leg toward premium supply.
From a macro perspective, today’s headlines underscore the cautious stance across financial markets as investors await the Federal Reserve’s upcoming guidance. Lingering inflationary concerns, coupled with speculation around the timing of future rate cuts, have kept volatility elevated. Meanwhile, geopolitical risks continue to underpin safe-haven demand for gold, adding an extra layer of support at discount levels.
This combination of technical liquidity zones and macro uncertainty sets the stage for tactical plays: fading moves into the supply zone while remaining prepared for dip-buying opportunities at defined demand areas.
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📌 Key Structure & Liquidity Zones (1H):
• 🔴 SELL GOLD 3,775–3,773 (SL 3,782): Supply zone coinciding with a buy-side liquidity pool above 3,780, offering downside targets at 3,760 → 3,745 → 3,730.
• 🟢 BUY GOLD 3,723–3,725 (SL 3,718): Discount demand aligned with liquidity grab potential, with upside targets at 3,745 → 3,760 → 3,775+.
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📊 Trading Ideas (Scenario-Based):
🔻 Sell Setup – Supply Rejection (3,775–3,773)
• Entry: 3,775–3,773
• Stop Loss: 3,782
• Take Profits:
TP1: 3,760
TP2: 3,745
TP3: 3,730
🔺 Buy Setup – Demand Mitigation (3,723–3,725)
• Entry: 3,723–3,725
• Stop Loss: 3,718
• Take Profits:
TP1: 3,745
TP2: 3,760
TP3: 3,775+
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🔑 Strategy Note
With the Fed’s next move looming, traders should anticipate engineered sweeps into both premium and discount liquidity pools before the market establishes clearer direction. The tactical edge comes from aligning intraday setups with liquidity hunts:
• Fade supply at 3,775–3,773 if rejection confirms.
• Buy dips into 3,723–3,725 if liquidity is swept cleanly.
The broader narrative of inflation concerns, dollar sensitivity, and safe-haven flows reinforces the case for two-sided opportunities. Expect gold to remain volatile within this consolidation range, with sharp moves likely as liquidity is targeted ahead of Fed clarity.
“Nifty 50 Key Levels & Trade Zones – 29th Sept 2025”“Follow me and like this post for more learning tips!”
24,870 → Above 10m closing Shot Cover Level
24,870 → Below 10m hold PE By Safe Zone
24,778 → Above 10m hold CE By Entry Level
24,770 → Below 10m hold PE By Risky Zone
24,718 → Above 10m hold Positive Trade View
24,718 → Below 10m hold Negative Trade View
24,620 → Above Opening S1 10m hold CE By Level
24,620 → Below Opening R1 10m hold PE By Level
24,520 → Above 10m hold CE By Level
24,520 → Below 10m hold PE By Level
24,418 → Above 10m hold CE By Safe Zone Level
24,418 → Below 10m hold Unwinding Level
