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XAUUSD – Wolfe Waves continue on H4XAUUSD – Wolfe Waves continue on H4, price returns below trendline: prioritise correction scenario Hello Trader, Based on the Wolfe Waves structure on the H4 frame and current price behaviour, gold has returned to trading below the trendline, indicating a weakening short-term uptrend and paving the way for a downward correction before the market decides the next trend. The upper zone has created a clear “sell zone”; below, two defensive buy zones appear suitable for both scalping and medium-term. Main Technical Picture Wolfe Waves: wave 5 completes near resistance, then price falls back below the trendline — aligning with the correction scenario along Wolfe's target line 1–4. Trendline & price box zone: the close below the rising trendline indicates “acceptance” below; immediate resistance lies at the 375x–376x cluster (sell zone). Momentum: H4 MACD slows, histogram narrows → high probability of a pullback – retest before a new decision. Detailed Trading Scenarios 1) Sell according to correction trend (priority) Entry: 3756 – 3759 SL: 3764 TP: 3745 → 3732 → 3715 → 3690 → 3672 Reason: the 375x zone coincides with the sell zone + upper trendline; selling at retest offers a good R:R ratio. Confirmation/Negation: if H4 closes above 3764 and holds, the short-term sell scenario weakens. 2) Buy scalping in buffer zone Entry: 3701 – 3703 SL: 3695 TP: 3715 → 3732 → 3745 → 3766 Note: this is just a rebound in the correction phase; lock each step and move SL according to TP1. 3) Buy medium-term (strong base zone) Entry: 3648 – 3651 SL: 3644 TP: 3672 → 3698 → 3708 → 3722 – 3727 Reason: the 365x zone coincides with the demand/accumulation volume on H4; suitable for catching a deep rebound along with the larger trend. Management: this is a medium-term order, so divide volume, lock each step and move SL to breakeven after TP1. Refer to my scenario if you find it reasonable, trade accordingly, and if you enjoy trading gold with high-quality scenarios, follow me.
OANDA:XAUUSDShort
by BrianLionCapital
2
How to Survive Gold Volatility During News Events?Hello Traders! Gold is one of the most volatile instruments in the market, especially during big news events like US Fed announcements, inflation data, or geopolitical updates. Many traders either get stopped out too early or end up chasing wild moves. So how do you survive and trade smartly when gold becomes unpredictable? Let’s break it down. 1. Understand Why Gold Reacts So Much Gold is directly linked to the US dollar, interest rates, and global fear sentiment. Whenever important data comes out, traders across the world hedge positions using gold, which creates sudden spikes in volatility. 2. Avoid Trading Before the News Gold often becomes choppy 15–30 minutes before a major event. Liquidity dries up, spreads widen, and stop losses get hunted. The safest choice is to wait until the news is released and the first move settles. 3. Reduce Position Size Instead of trading big lots, cut down your size during news events. This reduces emotional stress and allows your stop loss to be wider. Remember, survival is more important than chasing one big move. 4. Use Wider Stop Loss with Strict Risk Control Gold can spike $5–10 within seconds during news. Place your stop a little further than usual, but never risk more than your planned % of capital. Risk control matters more than perfect entries during such events. 5. Focus on the Second Move The first spike after news is often a trap, institutions trigger stops and grab liquidity. The real direction usually appears in the second move once the market digests the data. Patience gives you better entries. Rahul’s Tip: Treat gold news events as opportunities for learning, not quick profits. If you’re not confident, it’s perfectly fine to sit out, no trade is also a strategy. Conclusion: Gold volatility during news events can be dangerous if you chase blindly, but manageable if you plan well. By reducing size, waiting for confirmation, and focusing on survival first, you can turn chaos into clarity. This Educational Idea By @TraderRahulPal (TradingView Moderator) | More analysis & educational content on my profile If this post gave you a better way to handle gold volatility, like it, share your view in comments, and follow for more trading education that matters!
NSEIX:NIFTY1!Education
by TraderRahulPal
2
Hi Traders, Anfibo here!Hi Traders, Anfibo here! Market Overview – XAUUSD Gold (XAUUSD) is currently holding steady within the H4 bullish channel, showing that the overall uptrend remains intact. While there has not been a major breakout in recent sessions, the technical structure still suggests buyers have the upper hand. That said, the market is slowing down around a key resistance zone. For short-term opportunities, it’s important to focus on reactions at support and resistance levels to capture profits effectively. Key Levels Support: 3748 – 3733 – 3703 Resistance: 3768 – 3777 – 3788 – 3799 Trading Plan for Today Sell Scalp Setup Entry: 3770 – 3765 Stop Loss: 3780 Take Profit: 3720 – 3705 Buy Zone Setup Entry: 3700 – 3705 Stop Loss: 3695 Take Profit: 3760 – 3800 ⚠️ Always use stop-loss and follow strict money management rules to protect your capital. Wishing you all successful trades!
OANDA:XAUUSDShort
by ANFIBO_
SUDARSCHEM 1 Day View📊 Key Intraday Levels Opening Price: ₹1,521.00 Day’s High: ₹1,529.80 Day’s Low: ₹1,454.40 Previous Close: ₹1,520.50 VWAP (Volume-Weighted Average Price): ₹1,489.72 Upper Circuit Limit: ₹1,824.60 Lower Circuit Limit: ₹1,216.40 📈 Technical Overview According to TradingView, the stock currently holds a "Strong Buy" technical rating, indicating bullish short-term momentum. 📉 Recent Performance Snapshot Despite the current decline, Sudarshan Chemical has shown robust performance over the past year, with a 1-year return of approximately 38.25%. 🧠 Intraday Outlook The stock is currently testing its support levels. A sustained move below ₹1,445 could lead to further declines. Conversely, a rebound above ₹1,530 may signal a potential reversal. Traders should monitor these levels closely for potential entry or exit points. 🔍 Summary While the stock is experiencing a pullback today, its overall technical outlook remains positive. Investors should monitor key support levels around ₹1,454 and ₹1,440, as a breach could signal further downside. Conversely, a recovery above ₹1,500 may indicate a resumption of the uptrend.
NSE:SUDARSCHEMLong
by TechnicalExpress
12
MANGCHEFER 1 Day View📈 Current Market Snapshot Current Price: ₹327.05 Day’s Range: ₹311.00 – ₹333.90 Previous Close: ₹331.40 Volume Traded: 688,768 shares Market Cap: ₹3,927.59 crore 🔍 Technical Indicators Relative Strength Index (RSI): 69.8 (approaching overbought territory) Moving Averages: Short-term averages indicate a Strong Buy, while long-term averages suggest a Sell MACD: Positive at +3.5, signaling bullish momentum 📊 Support & Resistance Levels Support: ₹323.30 (based on accumulated volume) Resistance: ₹339.02 (near-term resistance level) 🧠 Analyst Sentiment Short-Term Outlook: Mixed signals; short-term moving averages are bullish, but long-term averages are bearish. Investor Sentiment: Some investors anticipate a potential rally, especially if merger approvals with Paradeep Fertilizers are confirmed.
NSE:MANGCHEFERLong
by TechnicalExpress
6
The Future of Futures Trading1. The Evolution of Futures Trading 1.1 Historical Background Futures trading traces its roots to the agricultural markets of the 19th century. Farmers and merchants used forward contracts to lock in prices for crops, mitigating the risks of fluctuating market prices. The Chicago Board of Trade (CBOT), founded in 1848, became the first organized marketplace for standardized futures contracts, laying the foundation for modern derivatives trading. Over time, the range of underlying assets expanded to include metals, energy products, financial instruments, and more recently, digital assets such as cryptocurrencies. 1.2 The Role of Futures in Modern Markets Futures serve multiple purposes in today’s markets: Hedging: Corporations, financial institutions, and investors use futures to protect against price volatility in commodities, currencies, and financial instruments. Speculation: Traders aim to profit from short-term price movements. Arbitrage: Futures contracts enable the exploitation of price differences between markets. Price Discovery: Futures markets provide transparent, real-time pricing signals that guide investment and production decisions globally. 2. Technological Advancements Shaping Futures Trading 2.1 Algorithmic and High-Frequency Trading Advances in technology have transformed futures trading by introducing algorithmic and high-frequency trading (HFT). These automated systems execute trades at speeds and volumes impossible for human traders, leveraging complex mathematical models to identify arbitrage opportunities, manage risk, and capture microprice movements. HFT has enhanced market liquidity but also raised concerns regarding market stability and fairness. 2.2 Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into futures trading. AI algorithms analyze vast amounts of historical and real-time data, including market sentiment, macroeconomic indicators, and news feeds, to forecast price trends. Machine learning models can adapt to changing market conditions, improving predictive accuracy and decision-making efficiency. 2.3 Blockchain and Distributed Ledger Technology Blockchain technology promises to revolutionize futures trading by increasing transparency, reducing settlement times, and minimizing counterparty risk. Smart contracts can automate trade execution and settlement, ensuring contracts are fulfilled without intermediaries. Exchanges exploring blockchain-based futures platforms may offer faster, more secure, and cost-effective trading environments. 2.4 Cloud Computing and Big Data Analytics Cloud computing provides scalable infrastructure for processing large datasets, enabling faster trade execution, risk analysis, and scenario modeling. Big data analytics allows traders and institutions to identify patterns, correlations, and anomalies in real-time, enhancing trading strategies and risk management. 3. Globalization and Market Integration 3.1 Expansion of Emerging Market Futures Emerging markets, particularly in Asia, Latin America, and Africa, are experiencing rapid growth in futures trading. Countries such as India, China, and Brazil are expanding their derivatives markets to provide hedging tools for commodities, currencies, and financial instruments. This expansion increases liquidity, reduces global price volatility, and provides new opportunities for cross-border investment. 3.2 Cross-Market Connectivity Technological integration allows futures contracts to be traded across multiple exchanges simultaneously. Cross-market connectivity facilitates global arbitrage opportunities, harmonizes pricing, and enhances capital efficiency. As futures markets become increasingly interconnected, price movements in one market can have immediate implications worldwide. 3.3 Rise of Global Commodity Trading Hubs Key global hubs such as Chicago, London, Singapore, and Dubai continue to dominate futures trading. However, emerging hubs in Asia and the Middle East are gaining prominence due to growing commodity production, technological investment, and regulatory reforms. These hubs will play a pivotal role in shaping the future of global futures trading. 4. Regulatory Evolution 4.1 Current Regulatory Landscape Futures trading is heavily regulated to ensure market integrity, transparency, and investor protection. Agencies such as the U.S. Commodity Futures Trading Commission (CFTC), the European Securities and Markets Authority (ESMA), and the Securities and Exchange Board of India (SEBI) oversee futures markets. Regulations cover margin requirements, position limits, reporting obligations, and risk management protocols. 4.2 Emerging Regulatory Trends The future of futures trading will be influenced by new regulatory trends: Digital Asset Regulation: As cryptocurrency futures gain popularity, regulators are implementing frameworks to ensure investor protection and prevent market manipulation. Cross-Border Oversight: Harmonizing global regulatory standards may reduce arbitrage and enhance market stability. Sustainability and ESG Compliance: Futures markets may introduce products linked to environmental, social, and governance (ESG) benchmarks, responding to investor demand for responsible investment. 4.3 Balancing Innovation and Risk Regulators face the challenge of balancing innovation with risk management. While technology and product innovation enhance efficiency, they also introduce systemic risks, cybersecurity threats, and potential market abuse. Future regulatory frameworks will need to adapt dynamically, leveraging technology for monitoring and enforcement. 5. The Rise of Retail Participation 5.1 Democratization of Futures Trading Advances in online trading platforms and mobile technology have democratized access to futures markets. Individual investors now participate alongside institutional traders, using tools and analytics previously reserved for professionals. This shift increases market liquidity and widens participation but also introduces behavioral risks, such as overleveraging and speculative bubbles. 5.2 Education and Risk Management The surge in retail participation highlights the importance of education. Platforms offering tutorials, simulation tools, and real-time market insights empower retail traders to understand leverage, margin requirements, and risk mitigation strategies. Future trends will likely see a blend of technology-driven guidance and personalized AI coaching to enhance trader competency. 6. Emerging Futures Products 6.1 Cryptocurrency Futures Cryptocurrency futures, such as Bitcoin and Ethereum contracts, have emerged as a new frontier. They allow hedging and speculative opportunities in volatile digital asset markets while integrating traditional financial instruments with blockchain innovation. Regulatory clarity and technological infrastructure will dictate the growth trajectory of crypto futures. 6.2 ESG and Sustainability Futures Futures linked to carbon credits, renewable energy indices, and other ESG metrics are gaining traction. These products allow investors and corporations to manage environmental risk and align portfolios with sustainability objectives. As global focus on climate change intensifies, ESG-linked futures will likely become mainstream. 6.3 Inflation and Macro-Economic Futures Products designed to hedge macroeconomic risks, such as inflation swaps or interest rate futures, are evolving. These instruments provide investors and institutions with tools to navigate monetary policy changes, inflationary pressures, and geopolitical uncertainties. 7. Risk Management and Market Stability 7.1 Advanced Hedging Strategies Futures traders increasingly employ sophisticated hedging strategies using options, spreads, and algorithmic overlays. These strategies enhance capital efficiency, minimize downside risk, and stabilize portfolios during market turbulence. 7.2 Systemic Risk Considerations The rapid growth of futures trading, high leverage, and technological interconnectivity can contribute to systemic risk. Market crashes, flash events, and cyber threats necessitate robust risk frameworks, continuous monitoring, and stress-testing mechanisms. 7.3 Future of Clearing and Settlement Central clearinghouses play a critical role in mitigating counterparty risk. Innovations in blockchain-based clearing could enable real-time settlement, reducing systemic exposure and improving capital utilization. The future will likely see hybrid models combining centralized oversight with decentralized technology. 8. Technological Disruption and Market Efficiency 8.1 Predictive Analytics and Sentiment Analysis The use of AI-driven sentiment analysis allows traders to anticipate market moves based on news, social media, and macroeconomic events. Predictive analytics transforms data into actionable insights, improving execution strategies and risk-adjusted returns. 8.2 Smart Contracts and Automated Execution Smart contracts can automate futures trade execution, margin calls, and settlements. This automation reduces human error, increases transparency, and lowers operational costs. As adoption grows, smart contracts could redefine the operational landscape of futures exchanges. 8.3 Integration with IoT and Real-World Data The Internet of Things (IoT) and real-time data feeds enable futures contracts to be linked to tangible metrics, such as agricultural yield, energy consumption, or shipping logistics. This integration increases contract accuracy and enables innovative products tailored to industry-specific risks. 9. Challenges and Opportunities 9.1 Cybersecurity Threats As technology permeates futures trading, cybersecurity becomes a critical concern. Exchanges, brokers, and trading platforms must invest in robust security protocols to prevent data breaches, fraud, and market manipulation. 9.2 Market Volatility and Speculation High-frequency trading, retail participation, and leveraged products can exacerbate market volatility. Effective risk management, regulatory oversight, and trader education are essential to mitigate speculative excesses. 9.3 Global Geopolitical Risks Geopolitical events, trade disputes, and monetary policy shifts can impact futures markets significantly. Traders must integrate macroeconomic intelligence and scenario analysis into decision-making frameworks. 9.4 Opportunities for Innovation The fusion of AI, blockchain, and global connectivity opens unprecedented opportunities. New product classes, algorithmic strategies, and cross-border trading platforms will redefine how futures markets operate, providing efficiency, transparency, and inclusivity. 10. The Future Outlook 10.1 Technology-Driven Evolution The future of futures trading is inherently tied to technology. AI, ML, blockchain, cloud computing, and big data will continue to transform market structure, execution, and risk management. 10.2 Global Market Integration Emerging markets and cross-border trading will deepen market integration, providing new opportunities for diversification and price discovery. 10.3 Regulatory Adaptation Dynamic, technology-aware regulatory frameworks will balance innovation with investor protection and systemic stability. 10.4 Expanding Product Horizons From digital assets to ESG-focused contracts, futures trading will diversify to meet the evolving needs of participants and the global economy. 10.5 Democratization and Education Greater retail participation, combined with technology-driven education, will democratize access while enhancing market sophistication and resilience. Conclusion Futures trading has evolved from simple agricultural contracts to a sophisticated, technology-driven, and globally interconnected ecosystem. The future promises even greater transformation, driven by AI, blockchain, data analytics, and globalization. While challenges such as market volatility, cybersecurity, and regulatory compliance persist, the opportunities for innovation, efficiency, and inclusivity are immense. The success of futures trading in the next decades will depend on the ability of exchanges, regulators, traders, and technology providers to adapt, innovate, and collaborate. The markets of tomorrow will be faster, smarter, more accessible, and more resilient, offering tools for hedging, speculation, and price discovery that are more advanced and integrated than ever before. Futures trading will not just reflect the pulse of the global economy—it will actively shape it.
NSE:RELIANCEEducation
by TechnicalExpress
9
XAUUSD – Pressure at the 3777 zone, adjustment scenario and trenXAUUSD – Pressure at the 3777 zone, adjustment scenario and trend-following buy Technical Analysis After a strong rally, gold (XAUUSD) is now approaching the resistance zone of 3777–3780, where it converges with the Fibonacci expansion cluster and the old resistance structure. This is a price zone prone to short-term selling pressure and is a decisive point for the next trend. EMA200 (H1: 3685) is still clearly sloping upwards → the main trend remains bullish, but the market is in a state of range expansion, with the possibility of a correction before continuing upward. RSI (14) is currently oscillating around 57–60, indicating that the upward momentum has cooled, not yet entering the overbought zone but posing a risk of divergence if the price forms a new peak without accompanying momentum. The Volume Profile levels and support zones 3738–3740 / 3719–3722 / 3661–3665 will be where buyers can react to protect the main trend. Trading Scenarios Scenario 1 – Sell adjustment at resistance zone: Entry: 3777–3780 SL: 3784 TP: 3755 – 3742 – 3730 – 3705 Scenario 2 – Short-term Buy scalping: Entry: 3738–3740 SL: 3734 TP: 3747 – 3755 – 3770 Scenario 3 – Trend-following Buy (preferred when deep correction): Entry: 3719–3722 SL: 3715 TP: 3728 – 3740 – 3765 – 3780 Price Zones to Watch 3777–3780: important resistance, potential Sell zone. 3738–3740: near support, suitable for Buy scalping. 3719–3722: main Buy zone for recovery, confluence with support structure. 3705: deep support, target if correction trend expands. Outlook The major trend for gold still leans towards bullish, however, the 3777–3780 zone currently plays a decisive role. Sellers can take advantage of short-term Sell to catch the correction, while buyers should wait for the price to retreat to support zones to enter trend-following orders. This is a reference scenario based on technical analysis, not an investment recommendation. Stay tuned for earlier analyses and prepare well for your trading plan.
OANDA:XAUUSDShort
by Steven-GoldTrading
Gold Finds Support at R1 , buy the Dip stills looks good We have seen a solid pullback (of over 72 points from the highs) in yesterday’s session, yet the broader structure on the H4 and higher timeframes remains firmly bullish, maintaining its HH-HL pattern. Price has so far rejected the 3720 zone (Weekly R1), confirming it as near-term support, and is now retesting the immediate resistance at 3750 along with the descending trendline overhead. As long as gold holds above the PWH / 3700–3680 demand zone, this looks like a healthy consolidation rather than a trend reversal. A sustained breakout above 3750 and the descending trendline could trigger momentum toward the 3790–3800 zone once again. For the short- to mid-term outlook, buying dips remains the preferred strategy, with invalidation coming only on a clean breakdown and H4 close below 3700 with strong volume.
OANDA:XAUUSDLong
by TheGoldenCircle
EURUSD – Bearish Channel Continuation on H1EURUSD – Bearish Channel Continuation on H1 Market Overview EURUSD continues to move steadily within a descending channel, confirming a bearish market structure. Recent recovery attempts have been capped at supply zones, while liquidity remains concentrated at lower price levels. As long as the pair trades inside this channel, the preferred strategy is to look for selling opportunities. Technical Context The bearish channel remains intact, with strong seller defence in the 1.1720–1.1790 zone. Key resistance levels: 1.1753 and 1.1820. Only a clear break above 1.1820 would weaken the bearish scenario. Downside liquidity targets sit around 1.1630, with extended potential toward 1.1575 if selling pressure accelerates. Trading Scenarios 🔻 Priority – Sell Setups (with the channel trend) Sell Setup 1 Entry: 1.1720 – 1.1730 Stop Loss: 1.1750 Take Profit: 1.1695 – 1.1670 – 1.1652 – 1.1630 Sell Setup 2 Entry: 1.1780 – 1.1790 Stop Loss: 1.1810 Take Profit: 1.1755 – 1.1730 – 1.1700 – 1.1675 🔹 Alternative – Buy Setup (countertrend, lower probability) Buy Setup Entry: 1.1630 – 1.1620 Stop Loss: 1.1600 Take Profit: 1.1660 – 1.1680 – 1.1700 Note: This setup is only valid if price tests the demand zone around 1.1620–1.1630, which could trigger a short-term corrective bounce. Risk Management & Outlook Primary Bias: Stay bearish while price action remains within the channel. Invalidation: A confirmed H1/H4 close above 1.1820 invalidates the bearish view. Target: A decisive breakdown below 1.1630 could pave the way towards 1.1575. ✅ Conclusion: EURUSD remains in a clear downtrend. The main strategy is to sell rallies into resistance zones, targeting lower liquidity areas. Long positions can be considered only at strong demand levels, and should be treated as short-term corrective trades rather than a trend reversal.
Short
by ANFIBO_
XAUUSD – Range 3735–3755 now serves as trend confirmation zoneXAUUSD – Range 3735–3755 now serves as trend confirmation zone Technical Analysis Gold (XAUUSD) is moving within a narrow range of 3735–3755, and this price zone currently acts as a “pivot point” to confirm the next direction. Short-term resistance: 3755–3772, price has reacted strongly multiple times. If not decisively broken, selling pressure may continue. Key support: 3735, this is the decisive zone – breaking it will confirm a downward trend, targeting lower levels. Stronger resistance: 3790–3793, confluence of several previous peaks, where strong selling pressure may form. EMA200 H1 (3723) still supports the major uptrend, but the price has moved far and is now in the phase of retesting supply – demand zones. RSI (14) around 45–48, not yet in oversold territory but leaning towards the sellers. From a technical perspective, this is a market phase that requires confirmation: breaking above 3755 will reopen the upward momentum, while losing 3735 will reinforce short-term downward pressure. Trading Scenarios Sell Scenario (preferred if resistance holds): Sell 3769–3772, SL 3775, TP: 3755 – 3746 – 3737 Sell 3791–3793, SL 3798, TP: 3783 – 3772 – 3760 – 3745 Sell when price confirms below 3735, SL 3742, TP: 3726 – 3715 – 3702 – 3690 Buy Scenario (trend-following on breakout): Buy when price confirms above 3755, SL 3747, TP: 3766 – 3778 – 3790 Buy 3705–3702, SL 3697, TP: 3717 – 3726 – 3744 – 3763 – 3780 – 3790 Price Zones to Watch 3735–3755: trend confirmation range, most important in the short term. 3769–3772 and 3791–3793: strong resistance zones, potential Sell zone. 3702–3705: deep Buy zone, combined with strong support and EMA200. 3790: key resistance level, breaking it will reinforce the major uptrend. Outlook The gold market is in a decisive phase at the 3735–3755 range. Sellers have a short-term advantage, but if the price exceeds 3755, the uptrend may soon return. The best strategy is to trade based on price confirmation at key zones, combining profit-taking at each successive TP level to optimise gains. This is a reference scenario based on technical analysis, not an investment recommendation. Stay tuned for earlier analyses in upcoming sessions.
OANDA:XAUUSDShort
by Steven-GoldTrading
KIRLOSBROS 1 Day View📊 1-Day Technical Summary Current Price: ₹2,030.50 Open: ₹1,998.00 High: ₹2,084.40 Low: ₹1,954.70 Close: ₹2,030.50 Volume: 177,664 shares VWAP: ₹2,029.19 Price Change: -0.67% 🔍 Technical Indicators RSI (14-day): 39.91 — Indicates a bearish trend, approaching oversold conditions MACD: -16.34 — Suggests a bearish momentum Moving Averages: All short-term and long-term moving averages (MA5 to MA200) are signaling a Strong Sell Stochastic RSI: In a bearish zone, reinforcing the downward momentum 📈 Support & Resistance Levels Immediate Support: ₹1,954.70 (Day's low) Immediate Resistance: ₹2,084.40 (Day's high) ⚠️ Conclusion The 1-day technical indicators for Kirloskar Brothers Ltd. suggest a bearish outlook, with the stock trading below key moving averages and exhibiting negative momentum. Traders should exercise caution and consider waiting for a confirmation of trend reversal before initiating long positions.
NSE:KIRLOSBROSLong
by TechnicalExpress
1
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
Types of Trading in India: An In-Depth Analysis1. Equity Trading (Stock Trading) Overview: Buying and selling shares of companies listed on stock exchanges like NSE and BSE. Key Features: Can be short-term (intraday) or long-term (investment). Investors earn through capital appreciation and dividends. Benefits: High liquidity, transparency, regulated market. Risks: Market volatility can lead to significant losses. Example: Buying shares of Reliance Industries and selling after a price rise. 2. Intraday Trading Overview: Buying and selling stocks within the same trading day. Key Features: Traders do not hold positions overnight. Relies heavily on technical analysis. Benefits: Quick profits, no overnight risk. Risks: High leverage increases risk; requires constant monitoring. Example: Buying Infosys in the morning and selling by afternoon for short-term gains. 3. Futures and Options (Derivatives Trading) Overview: Contracts whose value is derived from underlying assets like stocks, indices, or commodities. Key Features: Futures obligate buying/selling at a fixed date. Options provide the right, not obligation, to buy/sell. Benefits: Hedging, leverage, speculation. Risks: High risk due to leverage; can lead to large losses. Example: Buying Nifty Call Option to profit from a market rise. 4. Commodity Trading Overview: Buying and selling commodities such as gold, silver, oil, and agricultural products on MCX or NCDEX. Key Features: Includes spot, futures, and options contracts. Influenced by global demand, supply, and geopolitical factors. Benefits: Portfolio diversification, inflation hedge. Risks: Price volatility, geopolitical risks, storage costs (for physical commodities). Example: Trading crude oil futures anticipating a price surge. 5. Currency Trading (Forex Trading) Overview: Trading in foreign currency pairs like USD/INR, EUR/INR. Key Features: Can be spot or derivative contracts. Driven by global economic events and RBI policies. Benefits: High liquidity, global opportunities. Risks: Exchange rate volatility, leverage risks. Example: Buying USD against INR expecting INR to weaken. 6. Mutual Fund Trading Overview: Investing in professionally managed funds that pool money from multiple investors. Key Features: Equity, debt, hybrid funds available. Can be SIP (Systematic Investment Plan) or lump sum. Benefits: Professional management, diversification, lower risk. Risks: Returns are market-linked; management fees apply. Example: Investing in HDFC Equity Fund via monthly SIP. 7. Bond and Debt Securities Trading Overview: Trading government and corporate bonds, debentures, and fixed-income instruments. Key Features: Predictable income through interest payments. Less volatile than equity markets. Benefits: Capital preservation, steady returns. Risks: Interest rate fluctuations, credit risk of issuers. Example: Buying 10-year government bonds for stable returns. 8. Cryptocurrency Trading Overview: Buying and selling digital currencies like Bitcoin, Ethereum, and Indian crypto tokens. Key Features: Highly volatile and largely unregulated in India. Includes spot trading and futures trading. Benefits: Potential for high returns, global market access. Risks: Extreme volatility, regulatory uncertainty, cyber risks. Example: Trading Bitcoin on WazirX anticipating a price spike. 9. IPO and Primary Market Trading Overview: Investing in companies during their Initial Public Offering before they are listed. Key Features: Subscription-based allotment via brokers or banks. Potential for listing gains. Benefits: Opportunity to buy at a lower price before listing. Risks: Listing may underperform; market sentiment affects gains. Example: Applying for LIC IPO shares expecting listing gains. 10. Algorithmic and High-Frequency Trading (HFT) Overview: Automated trading using computer algorithms to execute orders at high speed. Key Features: Relies on pre-set rules, AI, and quantitative models. Popular among institutional traders and hedge funds. Benefits: Speed, accuracy, can exploit small price differences. Risks: Requires technical expertise, market flash crashes possible. Example: Using algorithmic trading to scalp Nifty futures in milliseconds. Conclusion India offers a wide spectrum of trading opportunities for investors and traders—from traditional stock markets to cutting-edge algorithmic and crypto trading. Choosing the right type depends on risk tolerance, capital, time horizon, and knowledge of the market. While equities, derivatives, and commodities dominate in terms of popularity, newer avenues like cryptocurrencies and algorithmic trading are gaining traction rapidly.
BITSTAMP:BTCUSDEducation
by TechnicalExpress
1
LiamTrading – Gold may fake a move before dropping Gold is trading around the 375x region and might exhibit a "fake breakout" upwards before adjusting downwards. The price structure on the H4 chart shows: Strong resistance is located at the 3770–3773 region, coinciding with the 0.786 – 1.0 Fibonacci extension area. This is a confluence zone prone to a downward reaction. The main trendline remains upward, but the RSI is gradually weakening, indicating that the buying force is not as strong. Short-term support is at 3710–3713, also the 0.5 – 0.618 fibo zone, suitable for buy scalping orders. A larger support area is at 3688–3691, where it converges with the trendline bottom and important Fibonacci, considered a sustainable "buy zone." Trading Plan Reference Sell: 3770 – 3773, SL 3778, TP 3756 – 3743 – 3725 – 3710 Buy scalping: 3710 – 3713, SL 3705, TP 3725 – 3736 – 3748 – 3760 Buy zone: 3688 – 3691, SL 3684, TP 3699 – 3710 – 3725 – 3736 – 3745 – 3760 In summary, gold may create a false upward move to the resistance zone 3770–3773 before reversing to adjust. Traders should patiently wait for confirmation signals at key price zones to enter optimal orders and manage risks tightly. This is my personal view on XAUUSD. If you find it useful, follow for the fastest updates on upcoming scenarios, continuously updated at comulity
OANDA:XAUUSDShort
by LiamTradingFX
LiamTrading XAUUSD Scenario Today Fibo & Volume Profile AnalysisLiamTrading XAUUSD Scenario Today:Fibo & Volume Profile Analysis Gold, after testing the 375x zone, has shown clear signs of weakening. On the H1 chart, the price structure is forming an adjustment phase aligning with key Fibonacci and Volume Profile levels. This is the time when the market starts to “filter” liquidity, creating opportunities for both short sell orders and buy orders at strong support zones. Technical Analysis Fibonacci indicates the 0.786 – 1.0 zone around 3756–3758 coincides with strong resistance and FVG, with a high potential for a reversal. Volume Profile points out the POC area around 3735–3740, if breached, it will pave the way for deeper downward pressure. The confluence support zone of 0.618 fibo + large volume around 3688–3691 is suitable for scalping buy. Further, the area 3648–3651 is reinforced by VAL and the bottom of the volume profile, making it a strong long-term “Buy zone.” Trading Plan Reference Sell zone: 3756 – 3758, SL 3763, TP 3750 – 3748 – 3736 – 3710 – 3690 – 3655 Buy scalping: 3688 – 3691, SL 3685, TP 3701 – 3715 – 3728 Long-term Buy zone: 3648 – 3651, SL 3640, TP 3670 – 3688 – 3700 – 3718 – 3733 – 3755 In summary, gold is moving in accordance with the technical structure confirmed by Fibonacci and Volume Profile. Today's scenario prioritises observing reactions around the sell zone 3756–3758 to find short opportunities, and waiting to buy at value zones 369x and 365x for the recovery wave. This is my personal view on XAUUSD. If you want the fastest updates on the next gold scenarios, follow me and join the community to stay informed.
OANDA:XAUUSDShort
by LiamTradingFX
XAUUSD – The downward trend continues to be prioritisedThe downward trend continues to be prioritised (Wolfe Waves Pattern H4) Hello Trader, Gold is following the Wolfe Waves structure on the H4 chart, after bouncing off the upper resistance zone and returning below the trendline. This indicates that the short-term upward momentum has weakened, and the scenario of a downward adjustment continues to be prioritised at this stage. Technical Analysis Wolfe Waves are clearly formed, wave 5 has hit resistance and a reversal signal has appeared. The price failed to hold above the upper trendline, while the MACD shows weakening upward momentum. The 3746 – 3748 zone is considered the main “sell zone” in the short term. Nearby support zones: 3709 – 3711 and deeper at 3675 – 3678. Further, the area around 3650 is an important “buy zone” in the medium term. Trading Scenario Sell following the trend (priority) Entry: 3746 – 3748 SL: 3754 TP: 3733 → 3720 → 3702 → 3690 Buy Short-term Scalping Entry: 3709 – 3711 SL: 3705 TP: 3722 → 3730 → 3745 Buy Deep Support Scalping Entry: 3675 – 3678 SL: 3670 TP: 3688 → 3696 → 3710 → 3725 Medium-term Buy Zone Entry: around 3650 This is a high-volume accumulation zone, coinciding with strong support on H4. This area is suitable for considering medium-term buy orders if the price adjusts deeply. Conclusion In the short term, the bearish scenario continues to be prioritised, especially when the price remains below the 3748 zone. Buy strategies should only be considered in the form of scalping or at the important buy zone around 3650. The current gold market is still in a distribution phase, so patience is needed to observe candle confirmations at entry zones to optimise the R:R ratio. This is today's XAUUSD trading scenario according to Wolfe Waves on H4. You can refer to and combine with personal strategies for the best risk management. Follow me to receive the latest scenarios when the price structure changes.
OANDA:XAUUSDShort
by BrianLionCapital
GBPUSD – Medium-Term H1/H4 Technical Outlook Overview: GBPUSD has recently broken below its ascending trendline/channel after failing to sustain momentum near the 1.3530–1.3575 supply zone. At present, price is testing the 0.618 retracement (~1.3366), while the RSI (5) is heavily oversold (~13–14). This signals the possibility of a short-term bounce before the broader bearish bias resumes. For Indian traders who follow GBPUSD closely, the focus should remain on selling rallies into resistance while being open to buying intraday dips at clearly defined liquidity levels. Market Structure & Key Observations Trendline Break: The bullish channel has been violated, shifting momentum to a “sell-the-rally” strategy. Resistance Zones: 1.3537 and 1.3453–1.3428 (strong supply levels). Support Zones: Initial support at 1.3366 (Fib 0.618) and 1.3319; major demand lies at 1.3143–1.3093. Momentum Check: Deep oversold RSI could trigger corrective recoveries, making intraday scalps attractive. Trading Plan Sell the Rally – Primary Bias Entry: 1.3500 – 1.3510 Stop Loss: 1.3550 Take Profit: 1.3480 – 1.3466 – 1.3445 – 1.3430 📌 Idea: Short entries on retest of broken structure. Only invalid if we see a 4H close above 1.3550. Buy the Dip – Intraday Scalping Entry: 1.3310 – 1.3330 Stop Loss: 1.3290 Take Profit: 1.3355 – 1.3368 – 1.3390 – 1.3410 📌 Idea: Quick long trades from liquidity near 1.3319, targeting minor resistance. Buy Deeper Liquidity Sweep – Swing Setup Entry: 1.3090 – 1.3110 Stop Loss: 1.3050 Take Profit: 1.3135 – 1.3160 – 1.3200 – 1.3240 📌 Idea: If the market flushes into the 1.3143–1.3093 demand zone, expect stronger bounce potential. Risk Management & Invalidation Above 1.3550 (4H close) → Bearish bias invalidated. Strong breakdown below 1.3310 → Skip scalps, focus on deeper buy zones. Partial profit booking at each target is recommended to protect capital.
Short
by ANFIBO_
XAUUSD – The SELL trend has been confirmed Technical Analysis After a strong rally hitting the resistance zone of 3770–3780, gold (XAUUSD) failed to maintain momentum and began forming consecutive declines. This signals that selling pressure is dominant in the short term. The 3767–3769 zone coincides with a local resistance, where the market has reacted multiple times → confirming its role as a distribution zone. Fibonacci Retracement levels from the most recent upward wave show the 0.618 area around 3700–3705 acting as short-term support, where a technical rebound may occur. The 3673–3675 zone confluences with Fib 2.618 and EMA200 → strong support, considered the main Buy zone for long-term buyers. RSI (14) is currently below 50, momentum leans towards a decline, confirming that a corrective trend is prevailing. Trading Scenario SELL Scenario (trend-following priority): Entry: 3767–3769 SL: 3775 TP: 3755 – 3740 – 3733 – 3710 – 3694 Buy scalping Scenario (short-term support reaction): Entry: 3701–3704 SL: 3698 TP: 3710 – 3722 – 3736 Buy zone Scenario (priority for medium-term rebound): Entry: 3673–3675 SL: 3666 TP: 3688 – 3696 – 3705 – 3720 – 3736 Price zones to watch 3767–3769: important resistance, priority Sell zone. 3700–3705: short-term support, potential Buy scalping area. 3673–3675: main Buy zone, confluence of support + Fibonacci. 3694 and 3736: key intermediate levels, where partial profit-taking is advisable. The main short-term trend is leaning towards SELL, however, important support zones may offer opportunities for counter-trend Buy or trend-following Buy after price correction. This is a reference scenario based on resistance – support and Fibonacci. Follow me if you love trading gold and want to read the latest analyses in the community.
OANDA:XAUUSDShort
by Steven-GoldTrading
LiamTrading – XAUUSD IN-DEPTH ANALYSIS OF CURRENT TRENDLiamTrading – XAUUSD Scenario Today: Opportunities at Key Price Levels Gold continues its strong upward momentum, currently fluctuating around the 376x–377x range after a series of breakthroughs. The technical structure on the H1 chart shows the market is forming clear resistance and support zones, suitable for short-term trading plans. Technical Analysis RSI is cooling off from high levels, indicating the possibility of a short-term correction. The upper price range around 3818–3821 is a strong confluence of resistance, coinciding with wave peaks and Fibonacci extensions, making it prone to selling reactions. Conversely, the support zones at 373x and 370x exhibit dense liquidity, serving as potential buying points when prices adjust. The short-term Dow structure still leans towards an uptrend, but attention is needed for the sell confirmation zone if gold fails at the peak. Reference Trading Plan Sell Zone: 3818 – 3821, SL 3828, TP 3805 – 3785 – 3760 – 3732 – 3650 Buy Scalping: 3728 – 3731, SL 3723, TP 3750 – 3777 – 3790 Buy Zone: 3706 – 3709, SL 3700, TP 3725 – 3738 – 3750 – 3777 – 3790 In summary, the main trend still leans towards an increase, but with gold approaching strong resistance zones, the likelihood of a correction is very high. Traders need to patiently wait for reactions at the marked zones for optimal entries, while managing risk tightly. This is my personal view on XAUUSD. If you're interested in gold scenarios, follow me for the fastest updates.
OANDA:XAUUSDLong
by LiamTradingFX
Part 2 Ride The Big Moves 1. Option Pricing and Valuation Option prices are determined by two main components: 1.1 Intrinsic Value The difference between the current price of the underlying asset and the option’s strike price. 1.2 Time Value The remaining portion of the premium, reflecting time until expiration and volatility. Options with longer time to expiration usually have higher time value. 1.3 Factors Affecting Option Prices Underlying Asset Price: Movement in the underlying asset directly affects the option’s value. Strike Price: Determines whether the option is ITM, ATM, or OTM. Time to Expiration: Longer expiration provides higher flexibility and premium. Volatility: Higher volatility increases option premiums. Interest Rates: Rising interest rates can increase call option values and decrease put option values. Dividends: Expected dividends reduce the value of call options. 1.4 Option Pricing Models Black-Scholes Model: Widely used for European options, factoring in asset price, strike price, time, volatility, and risk-free rate. Binomial Model: Flexible and suitable for American options, where early exercise is possible. 2. Risk and Reward in Options Trading 2.1 Risk for Option Buyers The maximum risk for buyers is limited to the premium paid. If the market moves unfavorably, the option can expire worthless, but the loss cannot exceed the initial investment. 2.2 Risk for Option Sellers (Writers) Sellers face potentially unlimited risk: For a call writer without owning the underlying asset (naked call), losses can be infinite if the asset price rises sharply. For put writers, losses occur if the asset price falls significantly below the strike price. 2.3 Reward Potential Buyers have unlimited profit potential for calls and substantial profit for puts if the market moves favorably. Sellers earn the premium as maximum profit, regardless of market movement, assuming they manage positions correctly. 3. Hedging and Speculation Using Options 3.1 Hedging Options are a powerful tool for risk management. For instance: Investors holding a stock can buy put options to protect against downside risk. Traders can use options to lock in profit targets or minimize losses. 3.2 Speculation Speculators use options to capitalize on market movements with limited capital. Examples: Buying calls to profit from an anticipated rise. Buying puts to profit from an anticipated fall. Using complex strategies to exploit volatility or time decay. 4. Options in Different Markets 4.1 Stock Options Options on individual stocks are most popular and widely traded. They provide leverage and hedging opportunities. 4.2 Index Options Options on market indices like Nifty or S&P 500 allow traders to speculate on broader market trends. 4.3 Commodity Options Used in commodities markets like gold, crude oil, and agricultural products for hedging or speculation. 4.4 Currency Options Provide protection or speculation opportunities in the forex market against currency fluctuations.
TVC:GOLDEducation
by SkyTradingZone
5
KERNEX 1 Day View📈 Technical Indicators (Daily Time Frame) Overall Signal: Strong Buy Moving Averages: 5-day: ₹1,113.28 (Sell) 50-day: ₹1,099.71 (Buy) 200-day: ₹1,087.01 (Buy) Fibonacci Pivot Point: ₹1,114.13 Relative Strength Index (RSI): 52.5 — Neutral MACD: +2.82 — Bullish Technical Indicators: 3 Buy, 2 Sell These indicators suggest a continuation of the current upward momentum, though the neutral RSI indicates caution against overbought conditions. 📊 Recent Price Action The stock closed at ₹1,106.00 on September 23, 2025, marking a 0.89% increase from the previous day. The day's range was ₹1,082.00–₹1,125.00, with a volume of 65,740 shares. 🔮 Price Forecast Short-term forecasts suggest a potential pullback to ₹1,075.70, possibly due to profit-taking or market consolidation. 📌 Conclusion Kernex Microsystems India Ltd is currently in a strong bullish phase on the daily chart, supported by favorable moving averages and MACD. However, the neutral RSI and short-term price forecasts indicate a need for caution. Investors should monitor for any signs of reversal or consolidation before making further decisions.
NSE:KERNEXLong
by TechnicalExpress
8