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Elliott Wave Analysis XAUUSD – September 26, 2025 ________________________________________ 🔹 Momentum • D1: Currently decreasing → the corrective trend is likely to continue. It may take about 2 more D1 candles for momentum to enter the oversold zone, after which a reversal could occur. • H4: Momentum is rising → today we may see a bullish move or sideways range. • H1: About to enter the oversold zone → a short-term bullish reversal is likely. ________________________________________ 🔹 Wave Structure • D1: o As analyzed previously, wave 5 (yellow) has already reached its first target at 3789. o It may take around 2 more D1 candles for momentum to enter oversold → showing that the bearish leg is weakening. o Considering depth and time, the market is likely within wave 4 of wave 5. Once the correction completes, the uptrend should resume toward the second target. • H4: o A WXY corrective structure is developing. o The ABC (blue) has completed wave W → the market may now be in wave X, followed by a Y-wave decline to finish the correction. • H1: o Wave X appears to be forming a triangle, currently in the final wave e. o However:  If price rises sharply above 3762, it would suggest the corrective phase is already completed.  The target area for wave e is around 3752 → potential Sell zone.  If price breaks below 3729, it confirms wave Y is in play, targeting 3713 and 3698 → potential Buy zones. ⚠️ Note: If the Buy target is reached first, the Sell setup will be canceled. ________________________________________ 🔹 Trading Plan 🔻 Sell Zone • Entry: 3751 – 3753 • SL: 3761 • TP: 3729 ________________________________________ 🔺 Buy Zone 1 • Entry: 3714 – 3712 • SL: 3704 • TP: 3751 ________________________________________ 🔺 Buy Zone 2 • Entry: 3699 – 3696 • SL: 3686 • TP: 3751
OANDA:XAUUSDLong
by WavePoint_FX
TATAMOTORS 1 Hour ViewOn the 1-hour chart, Tata Motors exhibits a neutral trend, indicating indecision in the short term. Key technical indicators are as follows: Relative Strength Index (RSI): Approximately 50, suggesting balanced buying and selling pressures. Moving Averages: The stock is trading near its short-term moving averages, with no clear bullish or bearish crossover. Volume: Trading volume is consistent with recent averages, showing no significant spikes. Given these indicators, the stock is consolidating within a range, awaiting a catalyst for a directional move. 🔍 Key Levels to Watch Immediate Support: Around ₹670–₹675. A breakdown below this level could lead to a retest of ₹650. Immediate Resistance: Approximately ₹690–₹695. A breakout above this zone may target ₹720–₹730. ⚠️ Market Context The recent uptick follows a challenging period marked by a cyberattack at Jaguar Land Rover, which had a significant financial impact. While operations are resuming, the stock remains sensitive to further developments.
NSE:TATAMOTORSLong
by TechnicalExpress
2
Key Trading Terminology Every Pro Should Know1. Market Basics 1.1 Asset Classes Understanding asset classes is fundamental. These include: Equities/Stocks: Ownership shares in a company. Bonds: Debt instruments representing a loan made by an investor to a borrower. Commodities: Physical goods like gold, oil, and wheat traded on exchanges. Forex: Currency pairs traded in the global foreign exchange market. Derivatives: Financial instruments whose value derives from an underlying asset, including options and futures. 1.2 Market Participants Key players in markets include: Retail Traders: Individual investors trading with personal capital. Institutional Traders: Organizations such as mutual funds, hedge funds, and banks. Market Makers: Entities that provide liquidity by quoting buy and sell prices. Brokers: Intermediaries facilitating trading for clients. HFT Firms: High-frequency traders using algorithms for rapid trades. 1.3 Market Orders Orders are instructions to buy or sell an asset: Market Order: Executed immediately at the current market price. Limit Order: Executed only at a specified price or better. Stop Order: Becomes a market order once a specific price is reached. Stop-Limit Order: Combines stop and limit orders for precise execution. 2. Trading Styles and Strategies 2.1 Day Trading Buying and selling within the same trading day to capitalize on intraday price movements. 2.2 Swing Trading Holding positions for several days to weeks to profit from medium-term price swings. 2.3 Position Trading Longer-term trades based on trends over weeks or months. 2.4 Scalping Ultra-short-term trading, often seconds to minutes, targeting small profits. 2.5 Algorithmic Trading Using automated programs to execute trades based on predefined strategies. 3. Technical Analysis Terminology 3.1 Candlestick Patterns Visual representations of price movements: Doji: Indicates market indecision. Hammer: Potential bullish reversal signal. Shooting Star: Possible bearish reversal. 3.2 Support and Resistance Support: Price level where buying pressure prevents further decline. Resistance: Price level where selling pressure prevents further rise. 3.3 Trend and Trendlines Uptrend: Series of higher highs and higher lows. Downtrend: Series of lower highs and lower lows. Trendline: Straight line connecting significant price points to identify direction. 3.4 Indicators and Oscillators Moving Averages: Smooth price data to identify trends (SMA, EMA). RSI (Relative Strength Index): Measures overbought or oversold conditions. MACD (Moving Average Convergence Divergence): Trend-following momentum indicator. Bollinger Bands: Volatility-based price envelopes. 4. Fundamental Analysis Terminology 4.1 Key Financial Ratios P/E Ratio: Price-to-earnings ratio indicating valuation. P/B Ratio: Price-to-book ratio reflecting company worth relative to book value. ROE (Return on Equity): Profitability relative to shareholder equity. Debt-to-Equity Ratio: Financial leverage indicator. 4.2 Earnings and Revenue EPS (Earnings Per Share): Profit allocated per outstanding share. Revenue Growth: Increase in sales over time. Profit Margin: Percentage of revenue converted to profit. 4.3 Macroeconomic Indicators GDP Growth: Economic expansion rate. Inflation (CPI/WPI): Changes in price levels. Interest Rates: Cost of borrowing money. 5. Risk Management Terminology 5.1 Position Sizing Determining the size of each trade relative to portfolio capital. 5.2 Stop Loss and Take Profit Stop Loss: Limits losses if the market moves against you. Take Profit: Automatically closes a trade when a target profit is reached. 5.3 Risk-to-Reward Ratio Ratio of potential loss to potential gain; crucial for evaluating trade viability. 5.4 Diversification Spreading investments across multiple assets to reduce risk exposure. 6. Derivatives and Options Terminology 6.1 Futures Contracts to buy/sell an asset at a predetermined price and date. 6.2 Options Contracts giving the right but not obligation to buy (call) or sell (put) an asset. 6.3 Greeks Measure sensitivity to various factors: Delta: Price change relative to underlying asset. Gamma: Rate of change of delta. Theta: Time decay of option value. Vega: Sensitivity to volatility changes. 6.4 Leverage Using borrowed funds to amplify trading exposure; increases potential gains and losses. 7. Market Conditions and Events 7.1 Bull and Bear Markets Bull Market: Rising prices and investor optimism. Bear Market: Falling prices and investor pessimism. 7.2 Volatility Degree of price fluctuations; often measured by VIX for equities. 7.3 Liquidity Ability to buy/sell assets quickly without affecting price significantly. 7.4 Gap Difference between closing and opening prices across trading sessions. 7.5 Market Sentiment Overall attitude of investors toward a market or asset. 8. Order Types and Execution Terms Fill: Execution of an order. Partial Fill: Only part of the order is executed. Slippage: Difference between expected price and execution price. Spread: Difference between bid and ask prices. Bid/Ask: Highest price buyers are willing to pay vs lowest sellers accept. 9. Advanced Trading Terminology 9.1 Arbitrage Exploiting price differences between markets to earn risk-free profits. 9.2 Hedging Using instruments to offset potential losses in another investment. 9.3 Short Selling Selling borrowed shares anticipating a price decline to buy back at lower prices. 9.4 Margin Borrowed funds to increase position size. 9.5 Carry Trade Borrowing at a low interest rate to invest in higher-yielding assets. 9.6 Position vs Exposure Position: Current holdings in an asset. Exposure: Potential risk from current positions. 10. Psychological and Behavioral Terms FOMO (Fear of Missing Out): Emotional bias leading to impulsive trades. Fear and Greed Index: Measures market sentiment extremes. Overtrading: Excessive trades driven by emotions rather than strategy. Confirmation Bias: Seeking information that supports pre-existing views. Loss Aversion: Tendency to fear losses more than value gains. 11. Key Metrics and Reporting Terms Volume: Number of shares/contracts traded. Open Interest: Total outstanding derivative contracts. Volatility Index (VIX): Market’s expectation of future volatility. Market Capitalization: Total value of a company’s shares. Index: Measurement of market performance (e.g., Nifty 50, S&P 500). 12. Global Market Terms ADR/GDR: Instruments for trading foreign shares in domestic markets. Forex Pairs: Currency combinations like EUR/USD or USD/JPY. Emerging Markets: Developing economies with growth potential but higher risk. Commodities Exchange: Platforms like MCX, NYMEX for commodity trading. 13. Regulatory and Compliance Terms SEBI/NSE/BSE Regulations: Regulatory frameworks governing trading in India. FATCA/AML: Compliance rules for taxation and anti-money laundering. Circuit Breaker: Market mechanism to halt trading during extreme volatility. 14. Conclusion: Why Terminology Matters Mastering trading terminology is crucial for professional success. Knowledge of terms enhances decision-making, improves risk management, and fosters confidence when interpreting market conditions. Professional traders are not just skilled in execution—they understand the language of the market. From basic orders to complex derivatives, every term is a tool to decode price movements, optimize strategy, and ultimately, achieve consistent profitability.
NSE:AXISBANKEducation
by TechnicalExpress
1
How AI is Transforming Financial Markets1. Introduction Financial markets have traditionally relied on human expertise, intuition, and historical data analysis to make decisions. While these methods have served well, they are often limited by human cognitive biases, data processing constraints, and the speed at which information is absorbed and acted upon. Artificial Intelligence, encompassing machine learning (ML), deep learning (DL), natural language processing (NLP), and predictive analytics, is enabling financial institutions to overcome these limitations. AI can process vast amounts of structured and unstructured data, identify patterns, make predictions, and execute actions in real-time. This has paved the way for smarter trading strategies, enhanced risk mitigation, and improved customer experiences. The integration of AI in finance is not just a technological upgrade; it represents a paradigm shift in the structure and functioning of financial markets globally. 2. AI in Trading and Investment 2.1 Algorithmic Trading Algorithmic trading refers to the use of computer algorithms to automate trading strategies. AI enhances algorithmic trading by making it adaptive, predictive, and capable of handling complex patterns that traditional models may overlook. Machine Learning Algorithms: AI-powered algorithms can analyze historical data and detect subtle market patterns to make predictions about asset price movements. Unlike traditional models that rely on fixed rules, machine learning algorithms continuously learn and adapt based on new data. High-Frequency Trading (HFT): AI facilitates HFT by enabling trades to be executed in milliseconds based on micro-market changes. AI models analyze price fluctuations, order book dynamics, and market sentiment to execute trades at optimal moments. Predictive Analytics: AI predicts market trends, volatility, and asset price movements with high accuracy. Techniques like reinforcement learning allow models to simulate and optimize trading strategies in virtual market environments before applying them in real markets. 2.2 Robo-Advisors Robo-advisors are AI-driven platforms that provide automated investment advice and portfolio management services. They use algorithms to assess an investor’s risk profile, financial goals, and market conditions, creating personalized investment strategies. Accessibility: Robo-advisors democratize investing by making professional-grade financial advice accessible to retail investors at low costs. Portfolio Optimization: AI dynamically adjusts portfolios based on market conditions, maximizing returns while minimizing risk. Behavioral Analysis: By analyzing investor behavior, AI can provide personalized guidance to reduce emotional trading, which is a common source of losses. 2.3 Sentiment Analysis AI leverages natural language processing to analyze news articles, social media, earnings calls, and financial reports to gauge market sentiment. Market Prediction: Positive or negative sentiment extracted from textual data can provide early signals for stock price movements. Event Detection: AI detects geopolitical events, regulatory changes, or corporate announcements that could impact markets. Investor Insight: By analyzing sentiment patterns, AI helps investors anticipate market reactions, enhancing decision-making efficiency. 3. Risk Management and Compliance 3.1 Credit Risk Assessment AI has transformed how banks and financial institutions assess creditworthiness. Traditional credit scoring models relied on limited historical data and rigid criteria, but AI can evaluate a broader set of variables. Alternative Data: AI analyzes non-traditional data such as social behavior, transaction patterns, and digital footprints to assess credit risk. Predictive Modeling: Machine learning models predict the probability of default more accurately than conventional statistical models. Dynamic Risk Assessment: AI continuously monitors borrowers’ behavior and financial health, updating risk profiles in real-time. 3.2 Market Risk and Portfolio Management AI enhances market risk management by modeling complex market dynamics and stress scenarios. Scenario Analysis: AI simulates various market conditions, helping fund managers understand potential portfolio risks. Volatility Prediction: Machine learning models forecast market volatility using historical data, enabling proactive risk mitigation strategies. Optimization: AI optimizes portfolio allocations by balancing expected returns against potential risks in real-time. 3.3 Regulatory Compliance and Fraud Detection Financial markets are heavily regulated, and compliance is critical. AI automates compliance processes and fraud detection. Anti-Money Laundering (AML): AI detects suspicious transaction patterns indicative of money laundering or financial crimes. RegTech Solutions: AI ensures adherence to regulatory requirements by automating reporting, monitoring, and auditing processes. Fraud Detection: AI identifies anomalies in transaction data, preventing fraudulent activities with greater speed and accuracy than human oversight. 4. Enhancing Market Efficiency AI improves market efficiency by reducing information asymmetry and enhancing decision-making for market participants. 4.1 Price Discovery AI algorithms facilitate faster and more accurate price discovery by analyzing multiple data sources simultaneously, including market orders, economic indicators, and news. 4.2 Liquidity Management AI optimizes liquidity by forecasting cash flow needs, monitoring order book dynamics, and predicting market depth. 4.3 Reducing Transaction Costs Automated trading and AI-driven market analysis reduce operational and transaction costs, enabling more efficient markets. 5. AI in Customer Experience and Personalization 5.1 Personalized Financial Services AI personalizes customer experiences by analyzing behavior patterns, transaction histories, and preferences. Tailored Products: Banks and fintech firms offer customized investment products, loans, and insurance policies. Chatbots and Virtual Assistants: AI-driven chatbots handle routine queries, transactions, and financial advice, improving customer satisfaction. Financial Wellness Tools: AI analyzes spending and saving patterns to provide actionable advice, helping users achieve financial goals. 5.2 Behavioral Insights By understanding investor behavior, AI helps reduce irrational decisions, encourages disciplined investing, and supports financial literacy. 6. AI-Driven Innovation in Financial Products AI is not only enhancing existing financial services but also driving the creation of new products. Algorithmic Derivatives: AI designs derivatives and structured products tailored to specific investor needs. Dynamic Insurance Pricing: AI models assess risk dynamically, enabling real-time premium adjustments. Smart Contracts and Blockchain: AI combined with blockchain technology automates contract execution, reducing counterparty risks and improving transparency. 7. Challenges and Risks of AI in Financial Markets While AI offers numerous advantages, its adoption also comes with challenges: 7.1 Model Risk AI models are only as good as the data and assumptions underlying them. Poorly designed models can lead to significant financial losses. 7.2 Ethical and Regulatory Concerns AI’s decision-making process is often opaque (“black-box problem”), raising concerns about accountability, fairness, and compliance. 7.3 Cybersecurity Threats AI systems are vulnerable to cyber-attacks, data breaches, and adversarial attacks that can manipulate outcomes. 7.4 Market Stability The widespread use of AI in high-frequency trading and algorithmic strategies may amplify market volatility and systemic risks. 8. Case Studies of AI Transforming Financial Markets 8.1 JPMorgan Chase: COiN Platform JPMorgan’s Contract Intelligence (COiN) platform uses AI to analyze legal documents and extract key data points, reducing manual review time from thousands of hours to seconds. 8.2 BlackRock: Aladdin Platform BlackRock’s Aladdin platform integrates AI for risk management, portfolio optimization, and predictive analytics, providing a comprehensive view of market exposures and investment opportunities. 8.3 Goldman Sachs: Marcus and Trading Algorithms Goldman Sachs uses AI-driven trading algorithms for securities and commodities, while Marcus leverages AI to enhance customer lending and risk assessment processes. 8.4 Retail Trading Platforms Platforms like Robinhood and Wealthfront utilize AI to offer personalized recommendations, portfolio rebalancing, and real-time insights to millions of retail investors. 9. Future Trends 9.1 Explainable AI (XAI) Future financial markets will increasingly demand AI systems that are transparent and explainable, ensuring accountability and regulatory compliance. 9.2 Integration with Quantum Computing Quantum computing combined with AI could revolutionize financial modeling, enabling previously impossible optimizations and simulations. 9.3 Cross-Asset AI Trading AI will integrate insights across equities, commodities, currencies, and derivatives, enhancing cross-asset trading strategies. 9.4 Democratization of AI Tools As AI tools become more accessible, retail investors and smaller institutions will be able to leverage advanced analytics, leveling the playing field. 9.5 Sustainable and Ethical Finance AI will help investors incorporate ESG (Environmental, Social, Governance) factors into investment decisions, promoting sustainable financial markets. 10. Conclusion AI is fundamentally reshaping financial markets, making them faster, smarter, and more efficient. From algorithmic trading and risk management to customer personalization and product innovation, AI’s applications are extensive and transformative. However, this transformation comes with challenges, including ethical concerns, regulatory compliance, cybersecurity risks, and market stability issues. As AI continues to evolve, financial markets will likely witness further innovation, democratization, and efficiency. Institutions that effectively harness AI while managing its risks will be best positioned to thrive in the increasingly complex and dynamic global financial ecosystem. In essence, AI is not just changing how financial markets operate—it is redefining the very nature of finance, turning data into intelligence, and intelligence into strategic advantage. The future of financial markets will be defined by those who can master the synergy between human insight and artificial intelligence.
NSE:RELIANCEEducation
by TechnicalExpress
1
XAUUSD – Trading Plan: Gold Awaits PCE Catalyst📊 Market Context Gold remains in consolidation mode after a sharp run earlier this week, holding steady below 3750. The market is now laser-focused on the US Core PCE Index, which could provide fresh direction for both the dollar and precious metals. With US yields stabilising and risk sentiment shifting, gold’s safe-haven appeal remains intact — but traders are weighing whether the recent pullback is a healthy correction or the start of a deeper retracement. Meanwhile, the geopolitical backdrop continues to offer underlying support, while positioning in ETFs and futures suggests investors are cautious, awaiting clearer signals from the Fed. The upcoming data will likely decide whether gold breaks higher towards fresh highs or retests deeper liquidity zones. 🔎 Technical Analysis (H1/H4) Price capped near short-term resistance at 3770–3772. Immediate supports are 3741 and 3722, with deeper demand zones at 3690–3688 and 3670–3668. The structure indicates possible liquidity sweeps before a decisive move. 🔑 Key Levels Resistance / Sell Zone: 3770–3772 Support / Buy Zones: 3690–3688, 3670–3668 📈 Scenarios & Trading Plan BUY ZONE 1: 3690–3688 SL: 3684 TP: 3695 - 3700 - 3710 - 3720 - 3730 - ??? BUY ZONE 2: 3670–3668 SL: 3664 TP: 3675 - 3680 - 3690 - 3700 - 3710 - ??? SELL ZONE: 3770–3772 SL: 3777 TP: 3765 - 3760 - 3750 - 3740 - ??? ⚠️ Risk Notes Watch for false breakouts at 3770–3772 before reversal. PCE release may inject volatility across gold and USD pairs. Position sizing and risk control are crucial into data. ✅ Summary Gold is at a crossroads — safe-haven demand is still supportive, but technical resistance near 3770 remains a hurdle. Core strategy: buy dips into 3690–3670 zones, while staying cautious of short-term sell setups at 3770–3772. Manage exposure, wait for confirmation, and be prepared for volatility once PCE data hits. 📢 Follow MMFLOW TRADING for real-time updates and next-level trade setups.
OANDA:XAUUSDLong
by MMFlowTrading
Supreme Industries: Breakdown Below Ascending SupportThe daily chart of Supreme Industries is showcasing a strong bearish signal with a breakdown below a long-held ascending trendline. The structure clearly resembles a descending triangle pattern, and the breakdown confirms growing weakness in price action, favoring sellers in the near term. 1. Bearish Structure Breakdown The chart shows a clear descending resistance line with a rising support trendline, forming a tight triangle pattern. This kind of setup often indicates building pressure for a breakout, and in this case, it has resulted in a sharp breakdown below ₹4294, signaling the start of a fresh bearish leg. 2. Short Entry Below ₹4294.70 A confirmed breakdown is seen once the price breached below ₹4294.70. This is the ideal short entry trigger zone. Traders looking to enter early may have taken a position right at breakdown, while others may wait for a retest of the broken trendline as confirmation before entering. 3. Early Entry & Retest Entry Zones For aggressive traders, an early entry just as the price approached the lower trendline was possible. However, confirmation entry after a retest offers better risk-reward and lower false breakdown probability. In this case, a small pullback to retest the broken support would be the sweet spot to enter with tight stop-losses. 4. Target 1: ₹4037.95 – First Downside Milestone Once the breakdown is confirmed, the first logical price target based on previous swing lows and pattern measurement comes to around ₹4037.95. Traders can consider booking partial profits at this zone to lock in gains while letting the rest of the position ride. 5. Final Target: ₹3670.20 – Projected Measured Move Based on the height of the triangle structure, the projected final bearish target lies near ₹3670.20. This level aligns with previous consolidation zones and serves as a strong psychological and technical support. If price action remains weak, this target has a high probability of being achieved in the coming weeks. 6. Stop Loss: Setup Invalid Above ₹4668.60 To protect against a failed breakdown or reversal, a stop-loss should be strictly placed above ₹4668.60. This level invalidates the bearish structure and signals that buyers may have regained control. 7. Trading Psychology and Risk Note Breakdowns from such ascending supports after long consolidations often result in impulsive price moves. However, risk management is critical. Stick to position sizing and trail your stop-losses once Target 1 is achieved. Avoid holding full-size positions near earnings or event-based volatility.
NSE:SUPREMEINDShort
by TradZoo
2
NIFTY50 Market Update✅ Market Trend Indicator is still Green, meaning the market is currently in accumulation mode. 📍 Key Observations: A gap imbalance exists between 24,732 – 24,713 → This will act as the last support for Nifty50. As long as 25,150 holds, the market has strength to move upside towards 25,600 – 25,900. Weekly candle is also highlighting the same last gap imbalance at 24,732. Monthly candle was bullish but could not capture the upside liquidity at 25,600 (previous candle level). 📈 Outlook: 🔹 Maximum chances for next month bullish continuation towards 25,600+. 🔖 Hashtag: #𝗧𝗿𝘂𝗲𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝘀𝟭
NSE:NIFTYLong
by VikasBajajICT
NIFTY KEY LEVELS FOR 26.09.2025NIFTY KEY LEVELS FOR 26.09.2025 RTF: 3 Minutes If the candle stays above the pivot point, it is considered a bullish bias; if it remains below, it indicates a bearish bias. Price may reverse near Resistance 1 or Support 1. If it moves further, the next potential reversal zone is near Resistance 2 or Support 2. If these levels are also broken, we can expect the trend. When a support or resistance level is broken, it often reverses its role; a broken resistance becomes the new support, and a broken support becomes the new resistance. If the range(R2-S2) is narrow, the market may become volatile or trend strongly. If the range is wide, the market is more likely to remain sideways please like and share my idea if you find it helpful 📢 Disclaimer I am not a SEBI-registered financial adviser. The information, views, and ideas shared here are purely for educational and informational purposes only. They are not intended as investment advice or a recommendation to buy, sell, or hold any financial instruments. Please consult with your SEBI-registered financial advisor before making any trading or investment decisions. Trading and investing in the stock market involves risk, and you should do your own research and analysis. You are solely responsible for any decisions made based on this research.
NSE:NIFTY
by AATHIE
Nifty Trading Strategy for 26th September 2025⚡ NIFTY Intraday Trading Plan ⚡ 📅 Setup: Based on 15-min candle breakout strategy 📈 BUY Setup ✅ Condition: Enter only if price closes above the high of 15-min candle @ 25,100 🎯 Targets: 🎯 1st Target: 25,139 🎯 2nd Target: 25,169 🎯 3rd Target: 25,199 🔒 Stop Loss (SL): Below the breakout candle low 📉 SELL Setup ✅ Condition: Enter only if price closes below the low of 15-min candle @ 24,830 🎯 Targets: 🎯 1st Target: 24,800 🎯 2nd Target: 24,765 🎯 3rd Target: 24,735 🔒 Stop Loss (SL): Above the breakdown candle high ⚠️ Disclaimer ⚠️ 📌 This is purely for educational purposes only. 📌 I am not a SEBI-registered advisor. 📌 Please do your own research and consult your financial advisor before taking any trades. 📌 Trading in stock markets involves high risk of capital loss – trade with strict risk management.
NSE:NIFTY
by ramkkyy
#NIFTY Intraday Support and Resistance Levels - 26/09/2025Nifty is expected to open on a flat note near the 24,900 zone, showing signs of consolidation. On the upside, a move above 25,050–25,100 will be crucial for bulls to regain strength, which can open the path toward 25,150, 25,200, and 25,250+. Sustaining above these levels may extend the rally further. On the downside, immediate support lies at 24,950, and a breakdown below 24,900 could trigger selling pressure, dragging Nifty lower toward 24,850, 24,800, and 24,750-. Overall, the index is currently trading in a consolidation zone, where both upside and downside moves are possible. Traders should closely monitor the breakout and breakdown levels for directional confirmation. With a flat opening expected, it’s important to follow strict stop-loss rules and trail profits as targets are achieved.
NSE:NIFTY
by TradZoo
[INTRADAY] #BANKNIFTY PE & CE Levels(26/09/2025)Bank Nifty is expected to open slightly gap down near the 55,000 zone, reflecting cautious sentiment in the market. On the upside, a strong move above 55,050–55,100 will be key for bulls, as it may trigger a rally toward 55,250, 55,350, and 55,450+. Sustaining above these levels could add further strength. On the downside, immediate support lies at 54,950, and a breakdown below this level may accelerate selling pressure, dragging the index lower toward 54,750, 54,650, and 54,550-. Overall, the index is at a crucial juncture where both sides are open for possibilities. Traders should watch the breakout and breakdown levels closely and align positions accordingly. With a slightly gap-down start, risk management with strict stop-losses will be essential to handle intraday volatility.
NSE:BANKNIFTY
by TradZoo
Nifty strategy for 26/06/25Short strategy : sell price : 24960 Tgt : 24650 Stop loss : 25100 Disclimer : I AM NOT A SEBI RESEARCH ANALYST OR FINANCIAL ADVISOR, these recommendations are only for education purpose, not for trading and investment purpose please take an advise from your financial advisor before investing on my recommendations. ‌🙏 : If you liked my content please suggest to your friends follow my trading channel. Your likes and comments provide boosting to me to update more financial information. Thanking you for supporting me
NSE:NIFTY
by viswanath_ktc
SOL Ready TO Ignite from Demand - Eyeing $240 Supply “SOL Ready to Ignite from Demand – Eyeing $240 Supply” 📌 Description: Solana swept liquidity into the $192–195 demand zone and is showing signs of strength. As long as $185 holds, bulls may drive price into the $210–240 supply zones. First target sits at $210 (FVG close), with higher objectives at $225 and $240. If demand fails, watch for a rejection short from $210. Long Setup (Buy Idea) Entry Zone: $192 – $195 (current demand + weak low + 61.8 retracement support) Stop Loss (SL): $185 (below demand zone + liquidity sweep area) Take Profit (TP): TP1: $210 (FVG imbalance zone) TP2: $225 (OB resistance zone) TP3: $240 (supply zone / strong high) ⚖️ Risk–Reward: Around 1:3 to 1:4 if TP2 or TP3 hits. 🔴 Short Setup (Sell Idea, only if rejection occurs) Entry Zone: $210 – $215 (FVG imbalance / supply) Stop Loss (SL): $222 (above imbalance zone) Take Profit (TP): TP1: $195 (back to current demand) TP2: $180 (major demand below) ⚖️ Risk–Reward: Around 1:2 to 1:3. 📌 Bias: Currently, price tapped demand and bounced — so long setup looks stronger unless $185 breaks.
Long
by dsbmdilip
XRP Ready for a Liquidity Sweep & Explosive RallyXRP Ready for a Liquidity Sweep & Explosive Rally XRP has tapped into deep buyside liquidity near $2.70, forming a strong low. If this level holds, expect a bullish reversal targeting the $2.95–$3.10 supply zones, with potential continuation to new highs. Watch for FVG fills and OB retests along the way. 📈 XRP Trade Plan (4H Chart) 🔹 Entry Zone (Long): Around 2.70 – 2.74 (buyside liquidity / demand zone). This is where price just tapped, showing strong reaction potential. 🔹 Stop Loss (SL): Below 2.62 – 2.65 Safe SL under the Strong Low marked on your chart. 🔹 Take Profit (TP): TP1: 2.90 (FVG / minor resistance) TP2: 2.95 – 3.00 (OB + mid supply zone) TP3: 3.10 – 3.15 (major supply / liquidity grab area) 🎯 Risk-to-Reward (approx): Entry: 2.72 SL: 2.63 (≈ -0.09 / -3.3%) TP1: 2.90 (≈ +0.18 / +6.6%) → RR ≈ 1:2 TP2: 3.00 (≈ +0.28 / +10.3%) → RR ≈ 1:3.5 TP3: 3.10 (≈ +0.38 / +14%) → RR ≈ 1:5 ⚡ So the setup is a bullish long from liquidity sweep, very clean ICT-style.
DELTAIN:XRPUSD.PLong
by dsbmdilip
Gold Trading Strategy for 26th September 2025📊 Gold Trading Signal (1H Time Frame) 🟢 Buy Setup 👉 Condition: 1H candle must close above 3764 🎯 Targets: 3775 3786 3797 🛑 Stop Loss: Below 3755 (suggested for risk management) 🔴 Sell Setup 👉 Condition: 1H candle must close below 3738 🎯 Targets: 3728 3718 3708 🛑 Stop Loss: Above 3748 (suggested for risk management) ⏰ Time Frame: 1 Hour (H1) 📌 Signals are based on candle close confirmations. Always wait for the hourly candle to finish before entering. ⚠️ Disclaimer This analysis is provided for educational purposes only 📘. Trading in gold, commodities, or any financial market involves significant risk of loss. 📉 Always use proper risk management, set stop losses, and consult with your financial advisor before making any trading decisions. The provider of this analysis is not responsible for any profits or losses incurred.
TVC:GOLD
by ramkkyy
CHEMCON - Possible Breakout on Chart🧪 Chemcon Speciality Chemicals – Niche Player With a Big Opportunity Chemcon Speciality Chemicals (CMP ~₹283) operates in a high-value niche of specialty chemicals, producing critical pharma intermediates such as HMDS and CMIC, along with bromide solutions for the oilfield sector. Being among the few Indian makers of these products, Chemcon enjoys a technical edge and import-substitution advantage. 📈 Fundamentals Market Cap: ~₹1,038 Cr P/E: ~40× Book Value: ~₹137 Debt: Practically debt-free ROE / ROCE: ~5% / ~7% Recent Trend: Q1 FY26 revenue up ~18% YoY; net profit ~₹6.4 Cr. 🏭 Business View Chemcon’s specialty products cater to global pharma and oilfield customers, giving it a wide demand base. A revival in pharma capex and rising domestic production of intermediates could drive steady orders. The company has announced capacity expansion plans and continues to broaden its export relationships. 💡 Technical Snapshot Price action has been consolidating between ₹260–₹300, forming a base after earlier volatility. Sustained closes above ₹300 could open the path toward ₹340–₹360 as the next resistance zone, while ₹250 remains an important support. 🎯 Educational Trade Idea (for learning only) A case-study plan could observe a hypothetical entry on a daily close above ₹300 with an illustrative stop around ₹265 and a learning target of ₹340–360. This is not a recommendation, just an example of how one might structure a breakout setup. 🌟 Long-Term View For Chemcon to become a serious compounder, management must deliver: 15–20%+ annual revenue growth, stronger cash generation, and ROE moving toward the mid-teens. If those pieces fall into place, this niche specialty-chemicals player could create significant value. ⚠️ Disclosure & Disclaimer – Please Read Carefully I/we have no financial interest or position in Hindustan Copper at the time of writing. The information shared here is meant purely for learning and awareness. It is not a buy or sell recommendation and should not be taken as investment advice. I am not a SEBI-registered investment adviser, and all views expressed are based on personal study, chart patterns, and publicly available market data. Trading—whether in stocks or options—carries risk. Markets can move unexpectedly, and losses can sometimes exceed the money you have invested. Past performance or past setups do not guarantee future results. If you are a beginner, treat this as a guide to understand how the market works and practice on paper trades before risking real money. If you are experienced, always assess your own risk, position sizing, and strategy suitability before entering trades. Consult a SEBI-registered financial adviser before making any real trading decision. By engaging with this content, you acknowledge full responsibility for your trades and investments. 💬 Found this useful? 🔼 Give this post a Boost to help more traders discover clean, structured learning. ✍️ Drop your thoughts, questions, or setups in the comments — let’s grow together! 🔁 Share with fellow traders and beginners to spread awareness. 👉 “If you liked this breakdown, follow for more clean, structured setups with discipline at the core.” 🚀 Stay Calm. Stay Clean. Trade With Patience. Trade Smart | Learn Zones | Be Self-Reliant 📊
NSE:CHEMCONLong
by simpletradewithpatience
HINDCOPPER _ Multi-Year Triangle BreakoutHindustan Copper (HINDCOPPER) – Multi-Year Triangle Breakout with Educational Trade Analysis Hindustan Copper Ltd. (CMP: ₹328) has delivered a decisive breakout on the weekly chart. The stock had been compressing within a multi-year symmetrical triangle formed by a rising trendline from the 2020 lows (red) and a descending resistance from the 2022 highs (green). The most recent candle shows a sharp +16% surge with strong volume, pushing price above the descending trendline and signaling a potential continuation of the long-term uptrend. From a technical perspective, ₹250–260 remains a key support zone, while the next major resistance cluster lies near ₹400–420, which aligns with the measured-move projection from the triangle’s height. This price structure sets up an instructive case study in pattern breakouts for market participants. Fundamentally, Hindustan Copper enjoys a unique monopoly as India’s only fully integrated copper producer, covering mining through to refined products. It commands a vast resource base of roughly 755 million tonnes of copper ore, providing decades of visibility. Management is working to ramp mining capacity from 4 MTPA to 12.2 MTPA, led by the historic Rakha mine restart and multiple underground expansions. FY25 was a landmark year with ₹2,071 crore revenue and ₹469 crore PAT, and Q1 FY26 has already delivered an ~18 % YoY PAT growth. The balance sheet is healthy and nearly debt-free, offering flexibility to fund expansion. On the macro side, global copper demand is in a structural uptrend, driven by EV adoption, renewable energy installations, and power-grid upgrades. Supply disruptions at major global mines have tightened the market, creating a favorable price backdrop for Hindustan Copper. 📝 Educational Trade Analysis For traders studying breakouts, this setup offers a clear example of blending chart structure with fundamental support. A typical learning plan could observe a hypothetical entry zone on a sustained close above ₹335–340, with illustrative targets near ₹400 and ₹450, which correspond to the pattern’s measured move. A protective stop for case-study purposes might be placed around ₹295, just below the breakout and the 50-week moving average. These levels are for educational illustration only—not a recommendation to buy or sell. This integrated perspective shows how a commodity-backed PSU with strong fundamentals and an expansion pipeline can align with a technically significant breakout, offering a valuable lesson in combining price action with fundamental drivers. ⚠️ Disclosure & Disclaimer – Please Read Carefully I/we have no financial interest or position in Hindustan Copper at the time of writing. The information shared here is meant purely for learning and awareness. It is not a buy or sell recommendation and should not be taken as investment advice. I am not a SEBI-registered investment adviser, and all views expressed are based on personal study, chart patterns, and publicly available market data. Trading—whether in stocks or options—carries risk. Markets can move unexpectedly, and losses can sometimes exceed the money you have invested. Past performance or past setups do not guarantee future results. If you are a beginner, treat this as a guide to understand how the market works and practice on paper trades before risking real money. If you are experienced, always assess your own risk, position sizing, and strategy suitability before entering trades. Consult a SEBI-registered financial adviser before making any real trading decision. By engaging with this content, you acknowledge full responsibility for your trades and investments. 💬 Found this useful? 🔼 Give this post a Boost to help more traders discover clean, structured learning. ✍️ Drop your thoughts, questions, or setups in the comments — let’s grow together! 🔁 Share with fellow traders and beginners to spread awareness. 👉 “If you liked this breakdown, follow for more clean, structured setups with discipline at the core.” 🚀 Stay Calm. Stay Clean. Trade With Patience. Trade Smart | Learn Zones | Be Self-Reliant 📊
NSE:HINDCOPPERLong
by simpletradewithpatience
Gold Trading Strategy | September 25-26✅ 4-Hour Chart: Gold prices pulled back after reaching 3791, with the lowest dip to 3717. It has since rebounded to oscillate around 3755–3760. The overall movement shows high-level consolidation, with frequent fluctuations between bulls and bears. No clear one-sided trend has formed yet, and we need to wait for a breakout direction. The moving averages MA5 and MA10 are entangled at the highs, with price swinging above and below them, reflecting a tug-of-war between bulls and bears. MA20 (around 3755) serves as a critical support/resistance, currently at a pivotal state. ✅ 1-Hour Chart: Price rebounded from the 3717 low but faced resistance again around 3760–3765. It is currently fluctuating in the 3740–3760 range, showing a typical consolidation pattern. The moving averages MA5, MA10, and MA20 are intertwined, with price oscillating around them. If the price fails to hold above 3760 in the short term, the rebound momentum will remain limited. 🔴 Resistance Levels: 3760 / 3785 / 3791 🟢 Support Levels: 3730 / 3717 / 3709 ✅ Trading Strategy Reference: Focus on range trading with selling at highs and buying at lows. 🔰 If gold rebounds to around 3760 and faces resistance, consider light short positions with a target of 3730–3720. 🔰 If price pulls back and stabilizes within the 3730–3717 range, consider short-term long positions with a target of 3760. 🔥Trading Reminder: Trading strategies are time-sensitive, and market conditions can change rapidly. Please adjust your trading plan based on real-time market conditions.
OANDA:XAUUSD
by GoldTradingProX
NEWGEN – Demand/Supply Zones and VCP Pennant Formation This chart analyzes NEWGEN’s price action around significant demand and supply zones, with a focus on the ongoing pennant/VCP (Volatility Contraction Pattern) base near support. Key moving averages provide context for recent trend shifts, while the technical summary and quarterly performance box support deeper analysis. Watch for breakout moves above the pennant resistance or further demand zone reactions as these will determine the next directional bias.
NSE:NEWGEN
by TradeTravel_Explore
BTCUSDT Daily structure: liquidity run below 107k?Pair: BYBIT:BTCUSDT Timeframes: 1D context, 4H execution Type: Educational market study Thesis After printing a rising-wedge into ATH and breaking down, price is in a corrective leg within a higher-timeframe uptrend. I’m watching for a controlled pullback toward 107–106k A deeper flush could reach the D1 imbalance/demand around 101–104k, with a max-draw scenario toward 98K, If today’s daily close reclaims 111K, the near-term bounce path opens toward 115k, aligning with the 0.5–0.618 retracement cluster. Market structure & SMC read * Trend: HTF uptrend intact on D1/W1; local distribution after ATH. * Pattern: Rising wedge into ATH, then breakdown and retest of the lower boundary. * BOS/CHOCH: Most recent BOS occurred on the run to ATH; current move is corrective. Supply/Demand: Shallow demand: 106–107k. Primary D1 demand/FVG: 101–104k. * Liquidity: Resting liquidity sits below recent equal lows at 106–107k and deeper toward 98–100k. Overhead liquidity and confluence cluster around 113.9k / 115.8k / 117.9k / 119.4k / 120.8k (Fib 0.382→0.786). Key levels * Supports: 107.0k, 106.0k, 101–104k FVG, 98.0k. * Reclaim gate:111k(daily close). * Fib/targets: 0.382 -113.9k, 0.5 -115.8k, 0.618- 117.9k, 0.705-119.4k, 0.786 -120.8. Scenarios A) Base case: Dip then bounce 1. Sweep into 107–106k to clear local lows. 2. LTF **CHOCH/BOS** back above 107.5k with absorption tails. 3. Path: 111k reclaim → 113.9k** → 115.8k; stretch 117.9k. B) Deeper flush: FVG mitigation 1. Failure to hold 106k on a D1 close opens 101–104k demand/FVG fill. 2. LTF confirmation from that block targets 109–111k first, then the Fib cluster. 3. 98k is the outer guardrail; a daily close below weakens the broader bullish case. C) Immediate reclaim: Momentum continuation * A daily close above 111k without tagging 106k first suggests strong demand. Look for follow-through toward **115.8k**, monitor reactions at 117.9k–120.8k. Trigger criteria (educational, not signals) * Price action: Liquidity sweep of 106–107k followed by LTF CHOCH/BOS back into structure. * Volume:** Effort vs. result divergence on the dip or visible absorption at demand. * Indicators (optional): RSI failure swing on LTF, session VWAPreclaim, MA(20/50) compression then expansion on the reversal impulse. Risk framing (hypothetical) * Define risk below the swept swing if engaging 106–107k; wider risk below 101k if waiting for the FVG fill. * Initial R:R around 1:2 into 111k; scale at 113.9k, leave runner toward 115.8k. Seasonal context September often delivers corrective flows; Q4 has historically skewed bullish. This view aligns with a September pullback resolving into Q4 continuation, provided 98–101k remains protected on daily closes. Chart notes * Rising wedge into ATH, breakdown and retest * D1 demand/FVG 101–104k and shallow demand 106–107k * Fibonacci confluence 113.9k → 120.8k Disclaimer : This is an educational market study, not financial advice. Do your own research and risk management.
Short
by Jitendra_Verma