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ADANIGREEN 1 Day Time Frame 📊 Current Price (Daily Timeframe) • Live price on NSE: ~₹935 – ₹939 per share (mid-session) based on latest sources. • Today’s range so far: Low ~₹920.35 | High ~₹941.40. 📌 Daily Pivot & Levels (Standard / Classic method) (These pivot levels are generated for daily timeframe — useful for intraday/day trading decisions) 📍 Pivot Points • Central Pivot (CPR): ~₹927.88 📈 Resistance Levels R1: ~₹955 – ₹961 R2: ~₹979 – ₹989 R3: ~₹1,007 + 📉 Support Levels S1: ~₹904 – ₹918 S2: ~₹876 – ₹901 S3: ~₹852 – ₹873 👉 Note: These levels (pivot, support and resistance) change daily based on price action and are good guidelines for entry/exit zones. 📅 How These Daily Levels Work ✔ Above pivot (~₹927-₹930): bullish bias — watch for moves toward R1 → R2 → R3. ✔ Below pivot: bearish bias — watch for tests of S1 → S2 → S3. These levels are widely used by traders on the 1-day timeframe to gauge short-term momentum and intraday ranges. 🧠 Market Context • The stock’s 52-week high/low range is approx ₹1,179 / ₹758 — gives broader support/resistance context beyond daily pivots. • Price action today is trading in a sideways range, as markets digest broader macro cues.
NSE:ADANIGREENLong
by TechnicalExpress
Indicators & Oscillators (Technical Analysis) – Complete GuideIntroduction In technical analysis, Indicators and Oscillators are mathematical tools derived from price, volume, or open interest data. Traders use them to analyze market behavior, identify trends, measure momentum, spot reversals, and improve trade timing. While price action shows what the market is doing, indicators help explain how strong, how fast, and how sustainable that move is. They do not predict the future but increase probability when used correctly with price structure and risk management. What Are Indicators? Indicators are tools that follow price and help traders understand market direction, strength, and trend continuation. Key Characteristics of Indicators Usually trend-following Work best in trending markets Often lag price (because they are calculated from past data) Help with trend identification and confirmation What Are Oscillators? Oscillators are indicators that move between fixed ranges (usually 0–100 or -100 to +100). They are mainly used to identify overbought and oversold conditions. Key Characteristics of Oscillators Work best in range-bound or sideways markets Help identify potential reversals Can give early signals but also produce false signals in strong trends Difference Between Indicators and Oscillators Aspect Indicators Oscillators Market Type Trending Sideways / Range Purpose Trend confirmation Reversal & momentum Nature Lagging Leading or coincident Examples Moving Average, ADX RSI, Stochastic Commonly Used Trend Indicators 1. Moving Averages (MA) Moving averages smooth price data to identify trend direction. Types Simple Moving Average (SMA) Exponential Moving Average (EMA) Usage Price above MA → Uptrend Price below MA → Downtrend MA crossover → Trend change signal Popular Periods 20 EMA – short-term 50 EMA – medium-term 200 EMA – long-term trend 2. Moving Average Convergence Divergence (MACD) MACD measures the relationship between two EMAs. Components MACD Line Signal Line Histogram Signals MACD crossover → Buy/Sell Histogram expansion → Momentum strength Divergence → Possible reversal 3. Average Directional Index (ADX) ADX measures trend strength, not direction. Interpretation ADX below 20 → Weak or no trend ADX above 25 → Strong trend ADX above 40 → Very strong trend Used with +DI and -DI to identify direction. 4. Parabolic SAR Used to determine trend direction and trailing stop loss. Usage Dots below price → Uptrend Dots above price → Downtrend Dot flip → Trend reversal Best in strong trends, weak in sideways markets. Popular Oscillators 1. Relative Strength Index (RSI) RSI measures momentum and overbought/oversold conditions. Range: 0–100 Key Levels Above 70 → Overbought Below 30 → Oversold 50 → Trend strength level Advanced Usage RSI above 60 = bullish trend RSI below 40 = bearish trend RSI divergence → Reversal signal 2. Stochastic Oscillator Compares closing price with price range over a period. Range: 0–100 Key Levels Above 80 → Overbought Below 20 → Oversold Signals %K and %D crossover Divergence with price Works best in range-bound markets. 3. Commodity Channel Index (CCI) Measures price deviation from average price. Range: No fixed limit Levels Above +100 → Strong bullish momentum Below -100 → Strong bearish momentum Used for early trend and reversal signals. 4. Williams %R Similar to Stochastic but inverted. Range: -100 to 0 Above -20 → Overbought Below -80 → Oversold Useful for short-term trading and scalping. Volume-Based Indicators 1. On-Balance Volume (OBV) Measures buying and selling pressure using volume. Concept Rising OBV → Accumulation Falling OBV → Distribution Volume leads price; OBV helps confirm breakouts. 2. Volume Oscillator Shows difference between short-term and long-term volume averages. Helps identify breakout strength and fake moves. Momentum Indicators 1. Rate of Change (ROC) Measures speed of price movement. Positive ROC → Bullish momentum Negative ROC → Bearish momentum Used for momentum-based entries. 2. Momentum Indicator Simple calculation of price change over time. Good for spotting trend acceleration and exhaustion. Divergence – A Powerful Concept Divergence occurs when price and indicator move in opposite directions. Types of Divergence Bullish Divergence: Price makes lower low, indicator makes higher low Bearish Divergence: Price makes higher high, indicator makes lower high Divergence often signals trend exhaustion or reversal, especially near support/resistance zones. How to Use Indicators Effectively Best Practices Never use too many indicators Combine one trend indicator + one oscillator Confirm signals with price action Always use stop loss Understand market context (trend vs range) Common Mistakes Blindly following signals Using oscillators in strong trends Ignoring risk management Over-optimization Ideal Indicator Combinations EMA + RSI MACD + Support/Resistance ADX + Moving Average RSI + Divergence + Price Action Conclusion Indicators and Oscillators are decision-support tools, not decision-makers. They help traders understand trend direction, momentum strength, market conditions, and potential reversals. When combined with price action, volume, and risk management, they significantly improve trading accuracy. Successful traders focus on simplicity, consistency, and discipline, not on finding the “perfect” indicator. Master a few tools, understand their behavior in different market conditions, and apply them with patience.
BITSTAMP:ETHUSDEducation
by TechnicalExpress
Risk Management & Position Sizing in Trading1. Introduction Risk management and position sizing are the foundation of long-term trading success. Many traders focus heavily on entry strategies—chart patterns, indicators, or news—but ignore risk. In reality, you can be profitable even with an average strategy if your risk management is strong, and you can lose everything with a great strategy if risk is uncontrolled. Risk management answers one key question: “How much am I willing to lose if this trade fails?” Position sizing answers another: “How many shares/lots should I trade based on that risk?” Together, they protect your capital, control emotional stress, and allow you to survive long enough to benefit from market opportunities. 2. Understanding Risk in Trading In trading, risk is the potential loss on a trade, not uncertainty. Every trade has three known variables: Entry Price Stop Loss Position Size Risk exists because the market can move against you. Professional traders accept losses as business expenses, not failures. The goal is not to avoid losses, but to keep losses small and controlled. 3. The Golden Rule: Capital Preservation The first objective of trading is not to make money—it is to protect capital. Without capital, you cannot trade. Key principles: Never risk a large portion of capital on one trade Avoid revenge trading after losses Focus on consistency, not jackpots A trader who protects capital gains a powerful advantage: the ability to stay in the game. 4. Fixed Percentage Risk Model One of the most widely used risk management methods is the Fixed Percentage Risk Model. How it Works: You risk a fixed percentage of your total capital on each trade—usually 0.5% to 2%. Example: Trading Capital: ₹5,00,000 Risk per Trade: 1% Maximum Loss Allowed per Trade: ₹5,000 No matter how confident you are, you never exceed this limit. This method: Prevents large drawdowns Automatically reduces risk after losses Allows compounding after profits 5. Position Sizing: The Core of Risk Control Position sizing converts your risk limit into trade quantity. Position Size Formula: Position Size = (Capital × Risk %) ÷ (Entry Price – Stop Loss) Example: Capital: ₹5,00,000 Risk per trade: 1% = ₹5,000 Entry Price: ₹500 Stop Loss: ₹490 Risk per share: ₹10 Position Size = 5,000 ÷ 10 = 500 shares This ensures: Loss stays within ₹5,000 Emotions remain controlled Decisions stay objective 6. Stop Loss: The Backbone of Risk Management A stop loss defines where you admit you are wrong. Types of Stop Loss: Technical Stop: Based on support, resistance, trendline, or indicator Percentage Stop: Fixed % from entry Volatility Stop: Based on ATR Time-Based Stop: Exit if trade doesn’t move in expected time A stop loss must be: Logical, not emotional Decided before entering the trade Never widened to avoid loss 7. Risk–Reward Ratio (RRR) Risk management is incomplete without understanding reward potential. Risk–Reward Ratio: Risk : Reward = Stop Loss : Target Common professional standards: Minimum 1:2 Ideal 1:3 or higher Example: Risk per trade: ₹5,000 Target: ₹10,000 to ₹15,000 Even with a 40% win rate, a good RRR keeps you profitable. 8. Maximum Drawdown Control Drawdown is the decline from peak capital. Rules professionals follow: Stop trading if drawdown reaches 10–15% Reduce position size after consecutive losses Never try to “recover quickly” Survival during drawdowns is what separates amateurs from professionals. 9. Position Sizing in Different Markets Intraday Trading: Lower risk per trade (0.25%–0.5%) Tight stop losses Smaller targets Positional Trading: Risk per trade: 1%–2% Wider stop losses Fewer trades F&O Trading: Use defined-risk strategies Avoid over-leveraging Lot size must fit risk, not margin 10. Psychological Benefits of Proper Risk Management Good risk management: Reduces fear and greed Prevents overtrading Builds confidence Makes results predictable When you know the maximum possible loss, your mind stays calm and focused. 11. Common Risk Management Mistakes Risking more after losses Increasing position size emotionally Trading without stop loss Over-leveraging in options Ignoring drawdown rules One big loss can destroy months of discipline. 12. Professional Risk Management Rules Risk small, trade consistently Never risk more than you can afford to lose Protect capital first, profits second Think in series of trades, not single outcomes Let probability work over time 13. Conclusion Risk management and position sizing are not optional tools—they are the trading system itself. Entries and indicators only decide where you trade, but risk management decides whether you survive and grow. The market rewards discipline, patience, and consistency—not aggression. Traders who master risk management stop chasing money and start building a professional trading business. If you control risk, profits become a byproduct.
NSE:AXISBANKEducation
by TechnicalExpress
Fundamental Analysis (FA): A Complete GuideFundamental Analysis (FA) is a method of evaluating the intrinsic value of a financial asset—such as a stock, bond, or company—by analyzing economic, financial, qualitative, and quantitative factors. The goal is to determine whether an asset is undervalued, overvalued, or fairly valued compared to its current market price. Unlike technical analysis, which focuses on price and volume patterns, fundamental analysis looks at what the asset is actually worth. Fundamental analysis is widely used by long-term investors, value investors, and institutions to make informed investment decisions. Core Objective of Fundamental Analysis The primary objective of fundamental analysis is to answer three key questions: Is the company financially strong? Is the business model sustainable and scalable? Is the current market price justified by fundamentals? If the intrinsic value of a stock is higher than its market price, it may be considered a buying opportunity. If it is lower, the stock may be overvalued. Three Pillars of Fundamental Analysis Fundamental analysis is generally divided into three main components: 1. Economic Analysis 2. Industry Analysis 3. Company Analysis Together, these help investors understand the broader environment and the specific business performance. 1. Economic Analysis Economic analysis evaluates the macro-economic environment in which companies operate. Since businesses are influenced by economic conditions, understanding the economy helps predict future growth or risks. Key economic factors include: GDP Growth Rate – Indicates overall economic health Inflation Rate – Affects purchasing power and costs Interest Rates – Impacts borrowing, spending, and valuations Fiscal & Monetary Policies – Government and central bank actions Exchange Rates – Crucial for export-oriented companies Employment Data – Reflects consumer spending capacity For example, low interest rates generally support equity markets by reducing borrowing costs and increasing investment, while high inflation may pressure company margins. 2. Industry Analysis Industry analysis focuses on the sector or industry in which a company operates. Even a well-managed company may struggle if its industry is declining. Important aspects of industry analysis include: a) Industry Growth Rate Fast-growing industries (technology, renewables) attract higher valuations Mature industries (cement, utilities) offer stable but slower growth b) Competitive Structure Monopoly or oligopoly industries enjoy pricing power Highly competitive industries face margin pressure c) Regulatory Environment Government policies can help or hurt industries (banking, pharma, telecom) d) Demand-Supply Dynamics Oversupply leads to price wars Strong demand supports profitability e) Entry Barriers High entry barriers protect existing players (capital, patents, brand) Understanding industry trends helps investors avoid structurally weak sectors and focus on future-ready businesses. 3. Company Analysis Company analysis is the heart of fundamental analysis. It examines a company’s financial performance, management quality, business model, and future prospects. A. Financial Statement Analysis The three primary financial statements are: 1. Income Statement Shows profitability over a period. Key metrics: Revenue (Sales) Operating Profit Net Profit Earnings Per Share (EPS) Profit Margins Consistent revenue and profit growth indicate a healthy business. 2. Balance Sheet Shows the company’s financial position at a specific time. Key elements: Assets Liabilities Shareholders’ Equity Debt Levels A strong balance sheet typically has low debt and high equity. 3. Cash Flow Statement Tracks actual cash movement. Types of cash flows: Operating Cash Flow Investing Cash Flow Financing Cash Flow Positive operating cash flow is crucial—it shows the business generates real cash, not just accounting profits. B. Key Financial Ratios Ratios simplify financial analysis and allow comparison across companies. Profitability Ratios Return on Equity (ROE) Return on Capital Employed (ROCE) Net Profit Margin Valuation Ratios Price to Earnings (P/E) Price to Book (P/B) Price to Sales (P/S) Liquidity Ratios Current Ratio Quick Ratio Leverage Ratios Debt-to-Equity Interest Coverage Ratio High profitability, reasonable valuation, and manageable debt are signs of a strong company. C. Qualitative Analysis Numbers alone are not enough. Qualitative factors play a critical role. 1. Business Model How does the company make money? Is it scalable and sustainable? 2. Management Quality Integrity and transparency Capital allocation skills Track record and vision 3. Competitive Advantage (Moat) Brand strength Cost leadership Technology or patents Distribution network 4. Corporate Governance Promoter holding Related party transactions Auditor credibility Strong governance builds investor trust and long-term value. Valuation in Fundamental Analysis After analyzing the business, investors estimate its intrinsic value using valuation models such as: Discounted Cash Flow (DCF) Dividend Discount Model (DDM) Relative Valuation (peer comparison) The difference between intrinsic value and market price is called the margin of safety, a key concept popularized by Benjamin Graham. Advantages of Fundamental Analysis Ideal for long-term investing Helps identify undervalued stocks Focuses on business strength Reduces emotional decision-making Works well for wealth creation Limitations of Fundamental Analysis Time-consuming and data-intensive Not suitable for short-term trading Market may remain irrational longer than expected Requires assumptions that may change External shocks can disrupt fundamentals Fundamental Analysis vs Technical Analysis Fundamental Analysis Technical Analysis Focuses on value Focuses on price Long-term approach Short-term approach Based on financials Based on charts Answers “what to buy” Answers “when to buy” Many successful investors combine both for better decision-making. Conclusion Fundamental analysis is a powerful framework for understanding the true value of an asset. By analyzing economic conditions, industry dynamics, and company-specific factors, investors can make informed, rational, and disciplined investment decisions. While it requires patience and continuous learning, fundamental analysis remains the backbone of long-term investing and wealth creation.
NSE:SBINEducation
by TechnicalExpress
Part 5 Advance Trading Strategies Option Trading: Risks and BenefitsBenefits- Leverage: Control bigger positions with smaller capital. - Limited Risk: Option buyers risk only the premium paid. - Flexibility: Strategies for bullish, bearish, or neutral markets. - Hedging: Protect portfolios with options. Risks- Time Decay: Options lose value as expiry approaches. - Volatility Risk: Options sensitive to changes in volatility. - Loss of Premium: Buyers risk losing entire premium if wrong. - Complexity: Strategies can be complex, require understanding.
NSE:HDFCBANKEducation
by SkyTradingZone
Part 2 Technical Vs. Institutional Option Trading Types of Option Trading: Calls and Puts- Call Option: - Gives buyer the right to BUY the underlying asset. - Buyer expects price to RISE. - Example: Buy Nifty Call at 22,000 strike, profit if Nifty goes above 22,000 + premium paid. - Put Option: - Gives buyer the right to SELL the underlying asset. - Buyer expects price to FALL. - Example: Buy Nifty Put at 22,000 strike, profit if Nifty goes below 22,000 - premium paid
NSE:BANKNIFTYEducation
by SkyTradingZone
2
Part 2 Intraday Institutional TradingBest Practices for Retail Traders 1. Start with Buying Options Risk is limited. 2. Prefer ATM or Slight ITM Better stability, realistic probability. 3. Avoid Holding Overnight Unless you understand IV, theta, and event risk. 4. Track Implied Volatility Buy when IV is low, sell when IV is high. 5. Use a Trading Plan Entry levels Stop loss Target Position size 6. Don’t Chase Cheap OTM Options They expire worthless most of the time.
CRYPTO:ETHUSDEducation
by SkyTradingZone
1
MARUTI 1 Month View 📌 Current Market Snapshot (Daily) Current approximate price: 📍 ~₹14,480–₹14,900 range (varying slightly between NSE/BSE live feeds). Daily trading range: • Low: ~₹14,350 • High: ~₹14,870** 52-Week Range: • Low: ~₹11,059 • High: ~₹17,370 + 📈 1-Month Key Levels (Support & Resistance) 🔁 Resistance Levels (Upside) R1: ~₹15,300–₹15,400 — immediate supply / pivot resistance on the 1-month timeframe. R2: ~₹15,730–₹15,800 — next resistance zone (near shorter moving averages). R3: ~₹16,150–₹16,170 — higher resistance and lower trading range top. Near term major resistance: Above ~₹16,650–₹16,830 could signal a breakout continuation to higher 1-month highs. 🔽 Support Levels (Downside) S1: ~₹14,440–₹14,480 — immediate downside support cluster. S2: ~₹14,000 — psychological and lower short-term support. S3: ~₹13,570–₹13,600 — deeper support if weak momentum continues. 🔄 Pivot Reference Pivot (central reference): ~₹14,867–₹14,900 area — if price closes above this regularly, short-term bias could tilt up; below it suggests bearish control in the 1-month context. 📊 1-Month Price Behavior & Interpretation ✔ The stock has pulled back significantly from recent peak levels near ₹16.8k–₹17.3k seen earlier in January/December. ✔ Currently trading below most short-term moving averages (20 DMA / 50 DMA) — indicating short-term bearish pressure. ✔ Near-term price action will focus on whether ₹14.4k support holds; breach below that could expose deeper pullbacks toward ₹14.0k–₹13.6k.
NSE:MARUTILong
by TechnicalExpress
Why Chart Patterns Matter ?Chart patterns reflect real-time battle between buyers and sellers. Every high, low, candle close, and wick communicates intentions of institutions, retail traders, and algos. For traders, chart patterns help in: Identifying trend direction Spotting reversal before confirmation Planning entries, stop-loss, and take-profit zones Understanding supply–demand imbalance Filtering noise in volatile markets Because patterns repeat across timeframes and markets (stocks, options, forex, crypto), they become reliable tools — especially when aligned with volume spikes and market structure breaks.
NSE:BANKNIFTYEducation
by TechnicalExpress
Part 1 Technical Analysis VS. Institutional Option Trading Introduction to Option Trading Options are financial derivatives—meaning their value is derived from an underlying asset such as: Stocks (e.g., TCS, HDFC Bank) Indices (Nifty, Bank Nifty, SENSEX) Commodities (Gold, Silver, Crude) Currencies (USD/INR, EUR/INR) An option gives you the right, but not the obligation, to buy or sell the underlying asset at a specific price before a specific date. There are two major types of options: Call Option → Right to buy Put Option → Right to sell You pay a small amount called premium to obtain this right.
NSE:NIFTYEducation
by SkyTradingZone
2
BEL 1 Day Time Frame 📌 📊 BEL 1‑Day Key Technical Levels Approx Current Price (latest quotes today): Around ₹415–₹419 range on NSE/BSE today (daily range seen ~₹415.85–₹424.55). 📈 How to Read These Levels (Daily Chart) Bullish bias: Price holding above Pivot (~₹403–₹417) and especially above R1 (~₹409–₹421) suggests strength and scope to test R2/R3 (~₹423–₹426+). Support guard: S1/S2 zones (~₹396–₹412) act as key intraday floors — break below these may extend selling. High‑probability range: Most of the day’s action tends to unfold between S1 and R2 before breakout/ breakdown. 📊 Daily Price Context Recent day’s low ~₹408.50 and high ~₹419.00 shows volatility and testing of higher supply near ₹421+. 52‑week range remains between ~₹240 and ~₹436, so current price is near upper band historically. ⚠️ Quick Notes These are technical reference levels (support/resistance/pivots) and not buy/sell calls. Markets move quickly; for live tick‑by‑tick data use a brokerage platform or real‑time charting tool.
NSE:BELLong
by Knowledgehub
MRPL 1 Day Time Frame 📈 MRPL Latest Intraday Snapshot (1‑Day Time Frame) Last traded / Current Price: ₹155.40 on NSE (latest price update for the day) Price Change: Up ~₹1.11 (+0.72%) from previous close Today’s Open: ₹155.00 Day’s Low: ₹152.60 Day’s High: ₹158.75 Previous Close: ₹154.29 📊 Intraday Movement (1‑Day Range) The stock opened slightly above the prior close and has been trading between ₹152.60 and ₹158.75 so far today, showing typical intraday volatility for MRPL. 📌 Summary (1‑Day Time‑Frame View): ✔ Price is trending slightly higher intraday. ✔ Intraday range indicates momentum above recent lows.
NSE:MRPLLong
by Knowledgehub
ALLDIGI 1 Month View📊 Current Price Context (Recent) Last close around ₹770–₹800 range on NSE. 📈 Key 1-Month Support & Resistance Levels Classic Pivot Levels (short-term focus) (These are useful for intraday to swing trades within ~1 month) R3 (Strong Resistance): ~₹785–₹846 R2: ~₹781–₹830 R1: ~₹777–₹803 Pivot: ~₹773–₹776 S1: ~₹769–₹748 S2: ~₹765–₹722 S3 (Strong Support): ~₹761–₹722 (Ranges reflect slightly different calculations from multiple sources) In simple terms: Near-term resistance: ₹780–₹845 Turnaround pivot zone: ₹770–₹775 Support zone: ₹722–₹770 📉 Moving Averages (Short-to-Medium Term) Shorter and medium SMAs/EMAs tend to act as dynamic support/resistance over a month: 20-day MA: ~₹817–₹840 (above current price) — potential resistance zone. 50-day MA: ~₹838–₹842 — also overhead resistance. 100–200 day averages: significantly higher — longer-term trend resistance points. This suggests the stock is trading below key moving averages, which can signal a bearish or consolidating phase short-term. 📊 Oscillators & Momentum Metres RSI near neutral to slightly oversold/flat levels recently. Some technical sources report mixed signals (neutral to bearish). 🧠 Short-Term Technical Take Bullish scenario: • Break above ₹785–₹803 and then ₹820–₹845 could open space toward February highs. Bearish scenario: • Failure at resistance and break below ₹760–₹748 may accelerate downward movement. Neutral/consolidation: • Likely continuation of rangekeeping between ₹722–₹845 until clearer directional momentum appears.
NSE:ALLDIGILong
by TechnicalExpress
Part 1 Candle Stick Pattern Call Options Explained A Call Option gives the buyer the right to buy the underlying asset at a specified strike price before or at expiry. Example: Stock price: ₹100 Call strike price: ₹105 Expiry: 1 month Premium paid: ₹3 If the stock rises to ₹115: Intrinsic value = ₹10 Profit = ₹10 − ₹3 = ₹7 If the stock stays below ₹105: Option expires worthless Maximum loss = premium paid (₹3) Use Cases: Bullish market view Leverage with limited downside Substitute for stock ownership
BSE:SENSEXEducation
by SkyTradingZone
5
Part 1 Techical Analysis Vs. Institutional Option Trading Types of Options A. Call Option (CE) You buy CE when you expect price to go up. You sell CE (write CE) when you expect price to stay below the strike or fall. If market goes up strongly: CE buyers make big profits. If market stays sideways: CE sellers profit due to premium decay. B. Put Option (PE) You buy PE when you expect price to go down. You sell PE when you expect price to stay above the strike. PE buyers profit from downside momentum. PE sellers profit during sideways or uptrending markets.
NSE:RELIANCEEducation
by SkyTradingZone
5
Part 1 Support and Resistance Introduction to Option Trading Option trading is a part of the derivatives market where traders buy and sell contracts whose value is derived from an underlying asset like Nifty, BankNifty, stocks, FINNIFTY, SENSEX, commodities, currency, etc. Unlike equity trading, where you buy shares directly, in options you buy rights (not obligations) to buy or sell the underlying asset at a fixed price. This fixed price is called the Strike Price. The unique thing about option trading is that your risk can be limited while your profit potential can be unlimited, especially when buying options. Options are used by retail traders, big institutions, hedge funds, FIIs, HNIs, and even companies to hedge and speculate. The attractive part of option trading is the leverage—small premium can control large value of underlying. But leverage is a double-edged sword; wrong decisions can result in rapid premium decay. Options can be traded in two ways: buying options or selling/writing options. Option trading involves understanding price action, sentiment, volatility, open interest, volume, structure, and momentum. It is one of the most powerful instruments for intraday, swing, positional, and hedged strategies.
NSE:NIFTYEducation
by SkyTradingZone
Nifty 50 1 Month Time Frame 📊 Live Price & Performance (1 Month) Nifty 50 Index: 25,048.65 (close on 23 Jan 2026) • Declined ~‑4.3% over the past month. • 1‑month high ~26,373 / low ~24,919. 📈 Key 1‑Month Technical Levels 🎯 Resistance (Upside) 1. 26,000 – 26,100 — Immediate resistance zone where supply likely increases and prior range top is placed. 2. ~26,300 — 1‑month swing high / recent high area. Breaking above 26,100–26,300 with momentum would signal a stronger upside breakout. 🛡️ Support (Downside) 1. 25,600 – 25,700 — Key short‑term support cluster (holds medium‑term bullish bias if above this). 2. ~25,000 — Psychological and technical support level (also near recent lows). 3. 24,900 – 24,800 — Lower demand zone from recent 1‑month range. A breakdown below 25,000 could accelerate downside, while holding above 25,600‑25,700 keeps bulls in control. 📌 What to Watch Next Bullish breakout trigger: Close above 26,100–26,300. Bearish catalyst: Sustained move below 25,000. Neutral/sideways trade: Oscillation between 25,000 and 26,100.
NSE:NIFTYLong
by Knowledgehub
1