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Wave Analysis

Part 1 Candle Stick PatternKey Terminology in Options Before diving deeper, understanding these basic terms is essential: Strike Price: The price at which the option can be exercised. Premium: The price paid by the buyer to purchase the option. Expiry Date: The date on which the option contract ends. In the Money (ITM): When exercising the option gives a profit (e.g., a call option when the stock price is above the strike price). Out of the Money (OTM): When exercising the option gives a loss (e.g., a call option when the stock price is below the strike price). At the Money (ATM): When the stock price and strike price are almost the same. Underlying Asset: The financial instrument (like a stock, index, or currency) on which the option is based.
Education
by SkyTradingZone
PCR Trading Strategies What is an Option? An option is a financial contract that gives the buyer the right, but not the obligation, to buy or sell an underlying asset (such as a stock or index) at a specific price (called the strike price) before or on a certain date (called the expiry date). There are two main types of options: Call Option: Gives the holder the right to buy the asset. Put Option: Gives the holder the right to sell the asset. The person who sells (writes) the option has the obligation to fulfill the contract if the buyer chooses to exercise it.
NSE:IGLEducation
by SkyTradingZone
Gold 4H – Bullish Setup Ahead of Fed & CPI Week🥇 XAUUSD – Weekly Smart Money Plan | by Ryan_TitanTrader 📈 Market Context Gold continues to trade near the ₹4,000 mark as traders brace for a volatile week driven by the U.S. CPI release and Federal Reserve remarks. Recent Fed comments hint that policymakers are open to rate cuts if inflation cools further, boosting gold’s appeal as a hedge against policy easing and market uncertainty. Meanwhile, tensions in the Middle East and strong central bank demand for gold continue to provide underlying bullish momentum, though short-term pullbacks remain likely. 🔎 Technical Analysis (4H / SMC Style) • The higher-timeframe BOS (Break of Structure) confirms that gold remains in a bullish market phase, with buyers defending every major retracement. • The current pullback could target the Potential Reaccumulation Zone around 3947, where liquidity may be swept before the next bullish impulse. • The Discount Demand Zone (3873–3875) aligns with strong 4H imbalance and previous structure support — ideal for a high-probability buy setup. • The Premium Supply Zone (4134–4132) is positioned as a liquidity target, where price may react for short-term corrections. 🟢 Buy Zone: 3873–3875 SL: 3866 TP targets: 3947 → 4020 → 4050 → 4130+ 🔴 Sell Zone: 4134–4132 SL: 4141 TP targets: 4080 → 4020 → 3950 ⚠️ Risk Management Tips • Wait for H1 ChoCH / BOS confirmation before executing positions. • Anticipate liquidity hunts near 3950–3970 ahead of CPI or Fed events. • Use partial scaling and secure partial profits once the structure confirms continuation. • Avoid entering during the first 15 minutes of major news releases to reduce slippage risk. ✅ Summary Gold remains structurally bullish on the 4H timeframe, with potential retracement opportunities offering premium entries. Smart Money may induce a liquidity sweep into 3873–3875 before pushing toward 4130+, where a reaction from institutional supply is likely. With major macro catalysts this week, traders should expect sharp volatility and manipulative moves before the next major leg develops. 🔔 Stay patient — let the market reveal its intent before entering. Premium buys remain favored above 3870 while watching for potential distribution near 4130.
OANDA:XAUUSDLong
by Ryan_TitanTrader
Risk Management vs Position Sizing in Option Trading1. Introduction to Risk Management in Option Trading Risk management refers to the strategies and techniques traders use to minimize potential losses and protect their capital. In simple terms, it’s the process of deciding how much risk you are willing to take on each trade and how to respond when the market moves against you. Option trading is inherently riskier than traditional stock trading because of leverage, time decay, and volatility sensitivity. Without a sound risk management plan, even the most skilled traders can wipe out their capital quickly. Key Objectives of Risk Management Capital Preservation – Protect your trading capital from large drawdowns. Consistent Returns – Maintain a stable equity curve with controlled risk exposure. Psychological Stability – Reduce emotional stress by limiting large unexpected losses. Longevity in the Market – Survive long enough to benefit from the law of large numbers and experience. 2. Importance of Risk Management in Options Options are leveraged instruments, meaning small price changes in the underlying asset can result in large percentage gains or losses in the option’s value. This amplifies both potential profits and potential risks. Consider this scenario: You buy a call option for ₹100 (premium) on NIFTY. If NIFTY moves in your favor, the option could rise to ₹200 — a 100% return. If NIFTY falls, your option could drop to ₹20 or even expire worthless — an 80–100% loss. Without managing your risk per trade, such swings can lead to emotional trading, over-leveraging, and account blowouts. Core Components of Option Risk Management Defining Maximum Risk Per Trade – Most professionals risk 1–2% of total capital per trade. Setting Stop-Loss Levels – Determine the exit point where losses are capped. Diversification – Spread exposure across different stocks, sectors, or strategies. Volatility Consideration – Manage trades based on implied and historical volatility levels. Risk-Reward Ratio – Ensure that the potential reward is at least twice the risk (2:1 ratio). Hedging – Use opposite positions (like protective puts) to reduce overall portfolio risk. 3. The Relationship Between Risk Management and Position Sizing Risk management and position sizing are two sides of the same coin. Risk management answers “How much can I afford to lose?” Position sizing answers “How big should my trade be?” Key Relationship: Risk per trade defines the maximum acceptable loss. Position sizing translates that risk into number of contracts. Together, they ensure that no single trade can cause significant damage to your account, maintaining capital stability and emotional discipline. 4. Why Traders Fail Without These Concepts Most new option traders focus entirely on predicting market direction, ignoring money management. They trade too large, too often, and without structured risk control. Common reasons for failure include: Over-leveraging (too many lots for account size) No stop-loss or adjustment strategy Risking inconsistent amounts per trade Emotional revenge trading after losses Ignoring volatility and time decay By applying consistent position sizing and risk management rules, traders can survive losing streaks and remain profitable long-term, even with a win rate as low as 40–50%. 5. Types of Risks in Option Trading Before applying risk management, traders must understand the different types of risks involved in option trading: a. Market Risk The risk of losing money due to adverse price movements in the underlying asset. b. Volatility Risk Changes in implied volatility (IV) affect option premiums. A sudden drop in IV can cause losses even if the price moves favorably. c. Time Decay Risk (Theta) Options lose value over time, especially as they approach expiry. Holding long options without movement can lead to gradual losses. d. Liquidity Risk Low open interest or volume can make it difficult to exit positions at fair prices. e. Execution Risk Delays or slippages during trade entry or exit can increase actual losses beyond planned levels. Understanding these risks helps traders plan position size and protective measures accordingly. 6. Risk Management Techniques in Option Trading a. Use of Stop-Loss Orders Set stop-loss levels based on technical indicators, volatility bands, or fixed percentage loss. Example: Exit if the option premium drops 30–40% below entry. b. Hedging Positions Offset risk with opposite positions: Long stock + long put = protective hedge Short call + long call (spread) = limited loss c. Strategy Selection Use defined-risk strategies like spreads, straddles, and butterflies instead of naked options. This caps potential losses upfront. d. Diversification Across Trades Avoid placing all capital on a single stock or index. Diversify across: Different sectors Expiry dates Strategy types (e.g., spreads, iron condors, strangles) e. Portfolio Risk Management Monitor total portfolio exposure instead of individual trades. Limit total open risk to no more than 10–15% of trading capital. 7. Psychological Role of Risk and Position Sizing Trading psychology plays a significant role in executing these principles. When traders know their maximum loss upfront, it reduces anxiety and prevents panic decisions. Proper position sizing allows traders to trade objectively, even during volatile periods. Benefits include: Increased confidence Better emotional control Reduced overtrading More consistent performance Advanced Risk Management Tools for Option Traders Greeks Management – Use delta, gamma, theta, and vega to manage exposure dynamically. Portfolio Margining – Optimize capital usage by evaluating net exposure. Scenario Analysis – Simulate market movements and estimate potential losses. Stop-Loss Automation – Use algorithmic or rule-based systems to exit losing trades swiftly. Volatility Filters – Avoid trading during excessive volatility or major news events. 8. The Compounding Power of Controlled Risk Consistent position sizing with controlled risk leads to geometric capital growth. For example, if you risk 1% per trade with a 2:1 reward-to-risk ratio and maintain 50% accuracy, your capital will grow steadily. The Math Behind It Over 100 trades: 50 winners × 2% gain = +100% 50 losers × 1% loss = -50% Net Gain = +50% with disciplined risk and sizing This demonstrates that consistent risk management is more important than win rate. 9. Common Mistakes to Avoid Risking too much on one trade Ignoring correlation between positions Overtrading after a winning streak Refusing to cut losses early Neglecting volatility effects on options Avoiding these mistakes ensures steady progress and capital safety. 10. Integrating Risk Management & Position Sizing into a Trading Plan A professional trading plan should include: Defined capital allocation for each strategy. Maximum risk per trade and per day/week. A clear position sizing formula. Stop-loss and target guidelines. Rules for scaling in/out of trades. Performance review metrics (risk-adjusted returns). Conclusion Risk management and position sizing are the twin pillars of success in option trading. While strategy selection determines what to trade, risk management determines how much to trade and how to survive in the long run. A trader who risks 1–2% per trade and sizes positions properly can withstand market volatility, endure losing streaks, and steadily grow wealth through compounding. Ultimately, trading is not about predicting the future — it’s about managing uncertainty. The traders who master risk and position sizing don’t just survive — they thrive.
NSE:HCLTECHEducation
by TechnicalExpress
Advanced Trading Methods: Mastering Modern Market Strategies1. The Foundation of Advanced Trading Before diving into the methods, it’s essential to understand what makes a trading approach “advanced.” Advanced trading involves: Complex analytical frameworks: Using mathematical and statistical models to identify opportunities. Data-driven decision-making: Reliance on historical and real-time market data. Algorithmic execution: Automating trades for efficiency and precision. Risk-adjusted performance: Focusing on consistent, sustainable returns rather than speculative profits. Behavioral mastery: Understanding and managing human emotions and biases. An advanced trader combines multiple dimensions — strategy, analysis, risk management, and psychology — into a cohesive trading system. 2. Algorithmic and Quantitative Trading a. Algorithmic Trading Algorithmic trading (or “algo trading”) uses computer programs to automatically execute trades based on predefined criteria such as price, volume, and timing. Algorithms help eliminate emotional bias and execute trades faster than human capability. Key types of algorithmic strategies: Trend-following algorithms: Identify momentum patterns using moving averages or breakouts. Mean reversion algorithms: Assume prices will revert to historical averages after deviations. Arbitrage strategies: Exploit temporary price differences between related instruments. Market-making algorithms: Provide liquidity by continuously quoting buy and sell prices. Statistical arbitrage: Use statistical models to detect short-term mispricings between correlated assets. Algorithmic trading dominates global market volumes, with institutions using complex systems that analyze thousands of data points in milliseconds. b. Quantitative Trading Quantitative (quant) trading relies on mathematical modeling and statistical analysis to forecast price movements. Quant traders design models that identify high-probability trade setups. Quantitative models include: Factor models: Evaluate stocks based on fundamental factors like earnings, growth, or volatility. Machine learning models: Use AI to detect nonlinear relationships in large datasets. Time-series models: Predict future price movements from historical trends using ARIMA, GARCH, or Kalman filters. Quantitative trading requires programming knowledge (Python, R, MATLAB) and a strong grasp of probability, calculus, and econometrics. 3. Technical Mastery: Advanced Charting and Indicators a. Multi-Time Frame Analysis Professional traders analyze price behavior across multiple time frames to align long-term trends with short-term setups. For instance, a trader may confirm an uptrend on the weekly chart and then enter trades on the 1-hour chart to optimize timing. b. Advanced Indicators Ichimoku Cloud: Combines support, resistance, and momentum in one view. Volume Profile: Analyzes traded volume at each price level to identify high-liquidity zones. Fibonacci Extensions: Predict potential price targets during strong trends. Bollinger Band Width: Measures volatility expansion or contraction phases. Average True Range (ATR): Quantifies market volatility for dynamic stop-loss placement. c. Harmonic Patterns and Elliott Wave Theory Advanced traders often use harmonic patterns (like Gartley, Bat, and Butterfly) to identify high-probability reversal zones based on Fibonacci ratios. Similarly, Elliott Wave Theory interprets market psychology through wave structures, forecasting long-term cycles of optimism and pessimism. 4. Price Action and Market Structure While indicators are helpful, many professional traders rely heavily on price action — pure price movement without lagging indicators. Key components include: Supply and Demand Zones: Identify institutional order blocks where price reacts strongly. Liquidity Pools: Areas where stop-losses cluster, often targeted by large players. Break of Structure (BOS): A shift in market trend confirmed by price breaking a significant high or low. Order Flow Analysis: Uses volume and bid-ask data to visualize market participant behavior. By mastering market structure, traders can anticipate institutional activity instead of reacting to it. 5. Derivative-Based Trading Methods Advanced traders frequently use derivatives — such as options, futures, and swaps — to manage risk and enhance returns. a. Options Trading Options offer strategic flexibility through structures like: Delta-neutral strategies: Profiting from volatility (e.g., straddles, strangles). Spreads: Combining multiple options to manage directional exposure and cost. Covered Calls and Protective Puts: Hedging long-term investments. b. Futures and Hedging Futures allow traders to speculate on or hedge against price movements in commodities, indices, and currencies. Advanced traders manage leverage, margin requirements, and roll-over costs to maintain efficient positions. c. Volatility Trading Volatility is an asset in itself. Advanced traders use instruments like the VIX index, volatility ETFs, or implied volatility analysis to construct trades that profit from market uncertainty. 6. Statistical and Probabilistic Methods Trading success depends on probability, not certainty. Advanced traders apply statistical techniques to quantify and manage uncertainty. Core techniques include: Monte Carlo simulations: Model potential trade outcomes over thousands of iterations. Backtesting: Testing strategies on historical data to evaluate robustness. Optimization and curve fitting: Fine-tuning parameters without overfitting. Risk-reward ratio and expectancy: Measuring expected profit per trade over time. Sharpe and Sortino ratios: Evaluating risk-adjusted returns. Probability-based thinking helps traders focus on edge and consistency rather than outcome-driven emotions. 7. Automated Trading and Artificial Intelligence AI-driven trading is the frontier of modern finance. Machine learning models can adapt and learn from new data, identifying patterns human traders might miss. Applications of AI in trading: Natural Language Processing (NLP): Analyzing news sentiment and social media for market signals. Reinforcement learning: Algorithms that self-improve through simulated environments. Neural networks: Detecting nonlinear price relationships and predicting future volatility. Robo-advisors: Automated portfolio management systems optimizing asset allocation. AI allows for dynamic, adaptive systems that continuously refine themselves based on performance metrics. 8. Risk Management and Position Sizing Even the best strategy fails without proper risk control. Advanced traders use sophisticated models to preserve capital. Risk control techniques include: Value at Risk (VaR): Estimates potential loss under normal conditions. Kelly Criterion: Determines optimal bet size to maximize long-term growth. Drawdown control: Limiting capital losses through daily, weekly, or cumulative limits. Diversification and correlation analysis: Reducing systemic risk by balancing asset exposure. Position sizing based on volatility, confidence level, and account equity ensures consistent performance and psychological stability. 9. Behavioral Finance and Trading Psychology Human emotions — fear, greed, overconfidence, and loss aversion — are the greatest obstacles to advanced trading success. Advanced traders master: Cognitive discipline: Following systems regardless of emotional impulses. Journaling: Tracking trades to analyze patterns and improve decision-making. Mindfulness and focus: Maintaining calm under market pressure. Probabilistic mindset: Accepting uncertainty as part of the process. Professional performance depends not only on technical skill but also on emotional intelligence and mental resilience. 10. Global and Macro Trading Approaches Global markets are interconnected — interest rates, currency movements, and geopolitical events all impact prices. Advanced traders use macro trading strategies to exploit these relationships. Examples include: Interest rate arbitrage: Trading based on central bank policy differentials. Currency carry trade: Borrowing in low-interest currencies to invest in high-yield ones. Commodities and inflation plays: Using gold or oil to hedge against inflationary trends. Intermarket analysis: Studying how equities, bonds, and commodities influence each other. A strong understanding of macroeconomics enhances timing, positioning, and portfolio management across global markets. 11. Portfolio Construction and Risk Parity Advanced traders think beyond individual trades — they manage portfolios as integrated ecosystems. Modern portfolio techniques include: Risk parity models: Allocating capital based on volatility rather than nominal value. Dynamic rebalancing: Adjusting exposure as market conditions evolve. Correlation clustering: Ensuring diversification across uncorrelated assets. Performance attribution: Measuring which strategies contribute most to returns. This systematic approach maximizes risk-adjusted growth over the long term. 12. The Role of Technology and Infrastructure Modern trading success depends on robust infrastructure. Advanced tools include: Low-latency servers for high-frequency execution. API integrations for data feeds and brokerage automation. Backtesting platforms such as QuantConnect or MetaTrader. Data visualization tools like Tableau or Python dashboards. Access to real-time data, high-quality execution, and cloud-based analytics transforms strategy into actionable performance. 13. Continuous Learning and Strategy Evolution Markets evolve — and so must traders. The best professionals constantly refine their systems. Steps to long-term mastery: Research: Stay updated with financial innovation and emerging technologies. Experimentation: Test new strategies under controlled environments. Mentorship and community: Learn from experienced traders and data scientists. Performance review: Regularly evaluate metrics and adapt. Trading is a lifelong pursuit of improvement and adaptation. Conclusion Advanced trading is not about complexity for its own sake — it’s about building a structured, data-driven, risk-managed, and psychologically stable approach to the markets. The journey from intermediate to advanced trader involves mastering the synergy between technology, analysis, and human behavior. By combining algorithmic precision, quantitative modeling, disciplined psychology, and continuous learning, traders can transform their craft into a professional, scalable, and sustainable enterprise. In the modern financial landscape, knowledge truly is the most powerful form of capital — and advanced trading methods are the foundation upon which lasting success is built.
NSE:RELIANCEEducation
by TechnicalExpress
[SeoVereign] BITCOIN BEARISH Outlook – October 05, 2025Hello everyone. I hope you are all having a peaceful day. Today, I am writing to share my Bitcoin short position view as of October 5th. The first basis is the 1.902 CRAB pattern. In a traditional Crab pattern, the 1.618 extension of the XA leg is regarded as the main PRZ (Potential Reversal Zone), but in practice, it is often observed that additional extension values such as 1.902XA are formed. This zone is an area where the price, after an excessive extension, tends to reverse sharply, and it is one of the regions within harmonic patterns where strong volatility and reversal signals frequently appear. Currently, Bitcoin is encountering resistance around this 1.902XA level, which increases the probability of a short-term bearish reversal. The second basis is that wave N and wave M are forming a 1:1 length ratio. In other words, both waves are proceeding with equal length, which resembles the AB=CD structure—a fundamental form of harmonic patterns. Such wave symmetry indicates that the market is moving in a consistent rhythm, and when two waves complete with the same length, that point often acts as a reversal signal. Accordingly, the average target price is set around 119,168 USDT. As the chart continues to develop, I will provide updates to this idea to inform you about my position management. Thank you for reading.
Short
by SeoVereign
[SeoVereign] ETHEREUM BEARISH Outlook – October 05, 2025Hello everyone. I hope you are all having a peaceful day. Today, I am writing to share my short position perspective on Ethereum as of October 5th. The first basis is the 1.13 Alternate Bat (ALT BAT). The Alternate Bat is a variation of the harmonic pattern established by Scott Carney, and its core principle lies in defining the PRZ (Potential Reversal Zone) where point D is located at 1.13 times the XA leg (=1.13XA). The convergence of these ratios creates a relatively narrow and reliable retracement (or reversal) zone, so when D is positioned around 1.13XA, it is necessary to carefully observe the potential for a short- or mid-term reversal. The second basis is that an arbitrary wave N forms a 0.618 length ratio (that is, N ≒ 0.618 × M) with another arbitrary wave M. Among Fibonacci ratios, 0.618 (61.8%) is one of the representative standards used in Elliott Wave and harmonic analyses for measuring wave length and retracement. When one wave exhibits approximately 61.8% of another’s length, that point tends to act as a natural retracement or termination zone, and the reliability increases especially when it overlaps with other technical grounds. Accordingly, the average target price is set around 4,415 USDT. As the chart movement unfolds, I will provide updates on position management through revisions to this idea. Thank you for reading.
Short
by SeoVereign
Natural gas as said yesterday more fall pending today done 275Natural gas yesterday said more fall pending today same is done , levels given on chart How My Harmonic pattern projection Indicator work is explained below : Recent High or Low : D-0% is our recent low or high Profit booking zone ( Early / Risky entry) : D 13.2% -D 16.1 % is range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade Target : T1, T2, T3, T4 and . Are our Target zone Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active. Total we have 7 important level which are support and resistance area Until , 16% not break uptrend will continue if break then profit booking will start. If break 25% then fresh downtrend will start then T1, T2,T3 will activate 1,3,5,10,15,20 minutes are short term levels. 30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
MCX:NATURALGAS1!Short
by EquityCommodityMarketJaiPrakas
Silver 153000 target hit ,next week 54$ on comex will come Silver buy on dip will continue 54$ will come on comex next week How My Harmonic pattern projection Indicator work is explained below : Recent High or Low : D-0% is our recent low or high Profit booking zone ( Early / Risky entry) : D 13.2% -D 16.1 % is range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade Target : T1, T2, T3, T4 and . Are our Target zone Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active. Total we have 7 important level which are support and resistance area Until , 16% not break uptrend will continue if break then profit booking will start. If break 25% then fresh downtrend will start then T1, T2,T3 will activate 1,3,5,10,15,20 minutes are short term levels. 30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
MCX:SILVER1!Long
by EquityCommodityMarketJaiPrakas
Silver 51.20 target hit then profit booking 54 $ come next week Silver as said earlier 51.20 $ target hit . Silver buy on dip 54$ we will see on next week How My Harmonic pattern projection Indicator work is explained below : Recent High or Low : D-0% is our recent low or high Profit booking zone ( Early / Risky entry) : D 13.2% -D 16.1 % is range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade Target : T1, T2, T3, T4 and . Are our Target zone Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active. Total we have 7 important level which are support and resistance area Until , 16% not break uptrend will continue if break then profit booking will start. If break 25% then fresh downtrend will start then T1, T2,T3 will activate 1,3,5,10,15,20 minutes are short term levels. 30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
OANDA:XAGUSDLong
by EquityCommodityMarketJaiPrakas
Good will make new ATH next week buy on dip Gold buy on dip recommended bounce from support area , levels given on chart How My Harmonic pattern projection Indicator work is explained below : Recent High or Low : D-0% is our recent low or high Profit booking zone ( Early / Risky entry) : D 13.2% -D 16.1 % is range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade Target : T1, T2, T3, T4 and . Are our Target zone Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active. Total we have 7 important level which are support and resistance area Until , 16% not break uptrend will continue if break then profit booking will start. If break 25% then fresh downtrend will start then T1, T2,T3 will activate 1,3,5,10,15,20 minutes are short term levels. 30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
OANDA:XAUUSDLong
by EquityCommodityMarketJaiPrakas
As said earlier buy on dip willon gold new ATH next week Gold new ATH will come in next week buy on dop on support , levels given on chart How My Harmonic pattern projection Indicator work is explained below : Recent High or Low : D-0% is our recent low or high Profit booking zone ( Early / Risky entry) : D 13.2% -D 16.1 % is range if break them profit booking start on uptrend or downtrend but only profit booking, trend not changed SL reversal zone (Safe entry ) : SL 23.1% and SL 25.5% is reversal zone if break then trend reverse and we can take reverse trade Target : T1, T2, T3, T4 and . Are our Target zone Any Upside or downside level will activate only if break 1st level then 2nd will be active if break 2nd then 3rd will be active. Total we have 7 important level which are support and resistance area Until , 16% not break uptrend will continue if break then profit booking will start. If break 25% then fresh downtrend will start then T1, T2,T3 will activate 1,3,5,10,15,20 minutes are short term levels. 30 minutes 60 minutes , 2 hours,3 hours, ... 1 day and 1 week chart positional and long term levels
MCX:GOLD1!Long
by EquityCommodityMarketJaiPrakas
Part 6 Learn Institutional TradingStrategies, Risks, and Rewards in Option Trading Option trading is not just about buying and selling — it’s about strategy. Traders can design positions that match their view of the market: bullish, bearish, or neutral. Some popular strategies include: Covered Call: Selling call options on a stock already owned to earn premium income. Protective Put: Buying puts to safeguard existing long positions against potential losses. Straddle and Strangle: Using both call and put options to profit from large market movements regardless of direction. Iron Condor: Combining multiple options to earn profit in a range-bound market. Each strategy involves a balance between risk and reward. For example, buying options offers limited risk (the premium paid) but unlimited profit potential, while selling options can provide steady income but expose traders to significant losses if the market moves sharply.
BITSTAMP:BTCUSDEducation
by SkyTradingZone
Part 4 Learn Institutional TradingThe Two Sides: Option Buyer vs Option Seller Every option trade involves two parties — a buyer and a seller (writer). Their goals are opposite: Role Right / Obligation Risk Reward Buyer of Call/Put Right, no obligation Limited to premium Unlimited (Call) / High (Put) Seller (Writer) Obligation Potentially unlimited Limited to premium Example: If you sell a call option on Reliance at ₹3,000, and the stock rises to ₹3,200 — you must sell it at ₹3,000, incurring a loss. But if the stock stays below ₹3,000, you keep the premium as profit. Thus, option sellers have higher risk, but they statistically profit more often due to time decay.
NSE:BSEEducation
by SkyTradingZone
Part 3 Trading Master Class With ExpertsTypes of Option Traders Different traders use options for different purposes. Here’s how: Speculators – Trade options to profit from short-term market moves. Hedgers – Use options to protect their existing investments (like insurance). Income Traders – Sell options regularly to collect premium income. Arbitrageurs – Exploit price differences between spot and derivatives markets. For example, a portfolio manager holding stocks may buy put options to safeguard against sudden market falls. Meanwhile, a retail trader may sell call options to earn regular premium income.
OANDA:XAUUSDEducation
by SkyTradingZone
NTPC Breakout Alert| Falling Wedge+ChoCH = Bullish Continuation⚡ NTPC Limited (NSE: NTPC) – 1H Chart Analysis 🧠 Market Structure After a strong impulsive move up, the price created a Change of Character (ChoCH) — signaling a shift from bearish to bullish market structure. Post-ChoCH, price entered a falling wedge corrective pattern — a typical bullish continuation signal. The wedge breakout indicates a possible resumption of the prior bullish trend. 🔍 Pattern Insight Pattern: Falling Wedge (Bullish) Timeframe: 1 Hour Confirmation: Breakout above wedge resistance Structure Bias: Bullish continuation 🎯 Trade Plan Entry: Current Market Price Stop Loss: ₹330 (below wedge low). Target: ₹370 (projected from wedge height). Risk–Reward Ratio: ~1:3 ⚙️ Confluences ✅ Falling wedge breakout near ChoCH zone → confirms structural shift ✅ Clear liquidity grab below wedge before breakout (smart money entry)
NSE:NTPCLong
by Yugal
Part 1 Trading Master Class With ExpertsBasic Terminology in Option Trading Before diving deep, let’s get familiar with key terms used in options: Call Option – Gives the buyer the right (not obligation) to buy the underlying asset at a certain price before expiry. Put Option – Gives the buyer the right (not obligation) to sell the underlying asset at a certain price before expiry. Strike Price – The fixed price at which the option holder can buy (for calls) or sell (for puts) the underlying asset. Premium – The price paid to buy the option contract. This is the cost of obtaining the right. Expiry Date – The date when the option contract expires. After this, the contract becomes invalid.
TVC:GOLDEducation
by SkyTradingZone
Elliott Wave Analysis – XAUUSD (10/10/2025) ________________________________________ 🔹 1. Momentum In the October 9th plan, based on H1 momentum and wave structure, I anticipated a strong bearish move, which indeed occurred during yesterday’s late session. D1 Momentum: Currently turning downward, meaning the main trend in the coming sessions remains bearish to bring D1 momentum into the oversold zone. H4 Momentum: Now showing signs of reversal from the oversold area, suggesting that a short-term recovery wave may appear soon. H1 Momentum: Currently approaching the oversold zone, so within the next 1–2 hours, a minor corrective upward move could take place. ________________________________________ 🔹 2. Wave Structure D1 Wave Structure: We can now see a confirmed bearish reversal candle, whose body is larger than previous bearish candles. This indicates that the yellow wave ⑤ has likely completed, and I expect a deeper corrective move to unfold — potentially reaching the 3700 area. H4 Wave Structure: As mentioned yesterday, we use the price channel for observation, and now the price has closed back inside the channel. This gives us additional confirmation that wave ⑤ has completed. With H4 momentum preparing to turn upward, the market is likely to form a corrective upward wave on this timeframe. H1 Wave Structure: Currently, a blue ABC correction has formed after yesterday’s strong decline. Notably, wave C is twice the length of wave A, showing that the panic selling yesterday may have exhausted the sellers. Combining this with the H4 momentum reversal, it suggests a potential upward move ahead. Furthermore, after a complete ABC structure, according to Elliott theory, the market often forms another ABC pattern or a 5-wave structure in the opposite direction, → therefore, we will now look for Buy opportunities. ________________________________________ 🔹 3. Liquidity Zones Observing the liquidity areas on the chart, there are two key zones to focus on: • 3953 • 3933 These are the two zones where we will look for Buy setups. Yesterday’s oversold decline (an irregular wave C) suggests, by Elliott principles, that a strong rebound from the 0.618 retracement up to the previous high is likely — this will be important for determining our Take-Profit levels. ________________________________________ 🔹 4. Trading Plan Buy Zone 1: • Entry: 3956 – 3953 • SL: 3943 • TP: 3989 Buy Zone 2: • Entry: 3934 – 3931 • SL: 3922 • TP: 3953 ________________________________________ 💡 Note: This rebound is a technical correction after an oversold sell-off, so it’s recommended to monitor price reaction near TP and consider moving SL to breakeven to secure profits.
OANDA:XAUUSDLong
by WavePoint_FX
Gold 1H – Price Reaction Ahead of U.S. CPI DataXAUUSD – Intraday Trading Plan | by Ryan_TitanTrader ________________________________________ 📈 Market Context Gold prices remain steady around $3,975, as traders await the U.S. CPI data release later today — a key event that could shape expectations for the Fed’s next rate move. If inflation cools, the dovish sentiment may boost gold’s safe-haven appeal; however, a hotter CPI print could trigger renewed dollar strength and short-term pressure on XAUUSD. Market volatility is expected to spike near the release, so liquidity grabs and false breaks are likely before the true direction forms. ________________________________________ 🔎 Technical Analysis (H1 / SMC Style) • The recent Change of Character (ChoCH) confirms short-term bearish control after breaking the bullish structure near 4017. • FVG Sell Zone (4015–4017) aligns with premium imbalance and prior liquidity — ideal for short setups if price retests that zone. • BOS to the downside was confirmed at 3960, showing sellers in control. • The discount zone 3908–3910 is a strong demand area where buyers may step in after liquidity sweep below 3910. ________________________________________ 🟢 Buy Zone: 3908–3910 SL: 3900 TP targets: 3920 → 3940 → 3960+ 🔴 Sell Zone: 4015–4017 SL: 4022 TP targets: 4000 → 3985 → 3970 ________________________________________ ⚠️ Risk Management Tips • Wait for M15 ChoCH / BOS confirmation before entering either side. • Use partial position sizing around CPI release — volatility may cause large wicks. • Watch for liquidity hunts near 3980–3990 before CPI, then confirm structure direction. ________________________________________ ✅ Summary Gold is consolidating below key resistance while awaiting U.S. inflation data. Smart money may engineer a liquidity sweep toward 4015–4017 (FVG) before resuming the bearish leg into 3910. However, if CPI comes in softer than expected, buyers may defend 3908–3910, sparking a recovery back toward 3980+. 🔔 Stay alert around CPI release hours — expect manipulative price action and confirm structure breaks before committing to directional trades.
OANDA:XAUUSDShort
by Ryan_TitanTrader
Part 1 Intraday Master ClassIntroduction to Option Trading Option trading is one of the most fascinating and flexible areas in the financial markets. Unlike traditional stock trading — where you buy or sell shares directly — options give you the right but not the obligation to buy or sell an underlying asset (like a stock, index, or commodity) at a fixed price within a specified time. Think of options as financial contracts that allow traders and investors to speculate on price movements, hedge existing positions, or earn income — all without actually owning the underlying asset. For example, if you believe Reliance Industries’ stock will go up, instead of buying the shares directly, you can buy a call option — a cheaper contract that benefits if the stock price rises. Conversely, if you expect a fall, you can buy a put option. The main advantage? Leverage. You control a large position with a relatively small investment. But this also means risk — because options lose value as time passes or if prices move against your expectation.
Education
by SkyTradingZone
RELINFRA 1 Week Time Frame 📈 Current Price & Recent Performance Current Price: ₹241.84 (as of October 10, 2025) 1-Week Change: +5.00% 52-Week Range: ₹198.13 – ₹423.40 🔍 Technical Indicators (Weekly Timeframe) Relative Strength Index (RSI): Indicates a neutral condition, suggesting neither overbought nor oversold conditions. Stochastic Oscillator: Shows a bullish condition, with readings between 55 and 80. Rate of Change (ROC): Indicates a bearish condition, with readings below 0. Commodity Channel Index (CCI): Shows a neutral condition, with readings between 45 and 55. Money Flow Index (MFI): Indicates a neutral condition, with readings between 45 and 55. Average True Range (ATR): Suggests a less volatile market, with values less than or equal to the 9-day Simple Moving Average (SMA). Average Directional Index (ADX): Indicates a weak trend, with values below 20. 📊 Moving Averages & Trend Analysis Short-Term Moving Averages: Currently below long-term averages, indicating a bearish trend. Resistance Levels: Key resistance levels identified at ₹239.34 and ₹262.85.
NSE:RELINFRALong
by Knowledgehub
CIPLA 1 Week Time Frame 📈 Weekly Support & Resistance Levels Support Levels: S1: ₹1,491.53 S2: ₹1,499.17 S3: ₹1,506.48 S4: ₹1,514.12 Resistance Levels: R1: ₹1,521.43 R2: ₹1,529.07 R3: ₹1,536.38 R4: ₹1,544.70 These levels are derived from the classic pivot point method and can serve as potential entry or exit points for traders. Technical Indicators Snapshot Relative Strength Index (RSI): 77.43 (approaching overbought territory) MACD: 7.01 (bullish crossover) Average Directional Index (ADX): 30.49 (indicating a strong trend) Commodity Channel Index (CCI): 307.2 (overbought) Williams %R: -0.79 (overbought) Rate of Change (ROC): 3.81% (bullish momentum) Moving Averages: 5-day: ₹1,527.76 50-day: ₹1,510.91 200-day: ₹1,542.76
NSE:CIPLALong
by Knowledgehub