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Option Trading Risks of Options Trading High Risk for Sellers: Unlimited losses possible. Complexity: Requires deep understanding. Time Decay: Options lose value as expiry approaches. Liquidity Issues: Some contracts may not have enough buyers/sellers. Over-leverage: Small mistakes can wipe out capital. Options Pricing An option’s premium depends on: Intrinsic Value (IV): Actual profit if exercised now. Time Value (TV): Extra value due to time left till expiry. Formula: Premium = Intrinsic Value + Time Value Example: Nifty at 20,000 Call @ 19,800 = Intrinsic value 200. If premium is 250 → Time value = 50. The Greeks (Advanced Concept) Options pricing is also affected by "Greeks": Delta: Sensitivity to price change. Theta: Time decay effect. Vega: Impact of volatility. Gamma: Acceleration of delta. These help traders understand risks better.
NSE:INFYEducation
by SkyTradingZone
5
PCR Trading StrategyHow Beginners Can Start Learn basics of Call, Put, Strike Price. Practice with paper trading before real money. Start with simple strategies (like Buying Calls/Puts). Avoid Option Writing (selling) initially — it’s risky. Slowly learn Greeks, volatility, strategies. Regulatory & Market Aspects (India Example) Options in India are traded on NSE & BSE. Lot sizes fixed by exchanges. Weekly & Monthly expiries available. SEBI regulates to ensure safety. Margins required especially for Option Writing. Famous Stories in Options Trading Hedging by Corporates → Big companies use options to hedge currency & commodity risks. Speculators → Many traders have made fortunes (and huge losses) in options because of leverage. Example: Traders during COVID crash used Put Options and made huge profits.
NSE:INFYEducation
by SkyTradingZone
2
INFOSYS: A stock to consider adding to your portfolioHello, Infosys Limited (NSE: INFY, NYSE: INFY) has long been one of the crown jewels of India’s IT sector. Founded in 1981, the company has grown into a global leader in consulting, technology, and outsourcing services. Today, Infosys is not only a key player in India’s digital transformation but also a significant competitor on the global stage against names like Accenture, IBM, and Capgemini. Infosys offers a broad suite of services—ranging from application development, engineering, and cloud solutions to its flagship banking platform, Finacle. Its operations are diversified across industries: • Financial Services & Insurance • Manufacturing & Hi-Tech • Energy, Utilities & Communication • Retail, Consumer & Logistics • Life Sciences & Healthcare The competition is intense. Infosys battles with domestic rivals like TCS, Wipro, HCL Tech, LTIMindtree, and globally with Accenture, Cognizant, IBM, and Capgemini. Still, Infosys has carved out a strong position thanks to its cost efficiency, high-quality talent pool, and scalable digital solutions. One thing investors love about Infosys is consistency. Over the last 10 years, revenue has climbed from ₹501.33B in 2013 to ₹1.63T in 2024. That’s more than 3x growth in just a decade. Even in the last financial year, despite global tech spending slowdown, revenues still grew +6% YoY. Net Income tells a similar story. In 2013, the company earned ₹106.56B, but by 2024 that figure swelled to ₹267.13B. Net margins have stayed healthy, averaging ~16% over the last three years. Return metrics are impressive too: • ROA: 18.57% • ROE: 30.63% Infosys runs a very clean balance sheet. Assets stood at ₹1.38T in 2024 against a very manageable ₹83.59B in debt. That low leverage gives the company flexibility to weather downturns and invest in growth. Cash is king, and Infosys has plenty of it. Free cash flow has grown from ₹94.56B in 2013 to ₹354.97B in 2024. This allows the company to fund innovation, buy back shares, and keep rewarding investors through dividends. Infosys is set to release its next earnings report on October 16th, 2025, with analysts expecting an EPS of ₹17.47. This could be a key event to watch for short-term volatility. From a technical perspective the stock has been on a sideways move since 2022 and is currently trading at the bottom of the flat channel. We see this as a perfect time for investors to join into the upward move as the current valuations present a perfect entry opportunity. We see INR 1960 as a short term achieve.
NSE:INFYLong
by thesharkke
1
Market’s Current Crowd – Why SD 0.5 Matters with 96WMAEvery candle on the chart is a footprint of the crowd. Some are footprints of long-term investors, others of restless scalpers, and in between lie the majority — the current active population. Most traders look at Bollinger Bands with ±1 SD or ±2 SD. But here’s the catch: ±1 SD (68% zone) is too wide, it includes noise that the current crowd may not actually be trading. ±2 SD (95% zone) often shows overreactions — moments that only a small, emotional part of the market touches. 🔹 This is why 0.5 SD is powerful. It captures the true heartbeat of the current population — the majority of trades happening right now. Instead of focusing on the extremes, it filters the chatter and shows us where the real action is. Importance of 96WMA: Above it, the active crowd is leaning bullish, even if short-term noise distracts. Below it, the weight shifts bearish. Together, 0.5 SD + 96WMA forms a map — the pulse of the market (0.5 SD) laid against the backbone of trend (96WMA). The market is not moved by everyone at once, but by the dominant population of the moment. By tracking SD = 0.5, we see that population more clearly than any other band width. Combine it with the quiet guide of 96WMA, and we stop guessing the crowd’s mood — we start seeing it.
NSE:INFY
by kidevswamynathan
INFY: Swing SetupAfter experiencing a sustained downtrend since February 2025, Infosys has recently shown signs of a potential reversal on the daily chart. The stock has managed to close above its 50-day EMA, indicating a shift in short-term momentum and suggesting that buyers are beginning to regain control. The RSI is currently hovering near the 60 level, which reflects improving bullish sentiment without yet entering overbought territory. This positioning often precedes further upside if supported by volume and price action. Additionally, today's price action saw Infosys touch the upper Bollinger Band, a technical signal that often precedes a short-term pullback or consolidation. However, it can also indicate strong momentum if the price continues to ride the band. This move suggests a potential retest of the recent swing high near ₹1480 . From a structural standpoint, the next key resistance level is identified at ₹1648 , which aligns with previous supply zones and Fibonacci retracement levels. On the downside, a logical stop-loss placement would be just below ₹1417 , which serves as a near-term support and a level where the bullish structure would be invalidated if breached. Disclaimer: This analysis is for educational and informational purposes only. It does not constitute investment advice or a recommendation to buy, sell, or hold any security. Always conduct your own research or consult a licensed financial advisor before making investment decisions.
NSE:INFYLong
by NiftyNotion
Commodities & Currency TradingIntroduction Financial markets are not limited to stocks and bonds. Beyond equity trading, two of the most important and widely traded asset classes are commodities and currencies (forex). These markets are essential for global trade, economic stability, and investment diversification. They are vast, liquid, and influenced by macroeconomic, geopolitical, and natural factors. Commodities represent real physical goods like gold, crude oil, wheat, or natural gas. Currencies represent the exchange rate between two different countries’ monetary systems, like USD/INR or EUR/USD. Both markets attract traders, investors, speculators, and hedgers. While commodities protect against inflation and provide opportunities during supply-demand imbalances, currency trading allows participants to profit from fluctuations in exchange rates, driven by international trade, interest rates, and monetary policy. In this guide, we will explore these markets in depth, covering fundamentals, participants, trading mechanisms, strategies, risks, and practical tips for success. Part 1: Understanding Commodities Trading What are Commodities? Commodities are raw materials or primary goods used in commerce. They are standardized, meaning one unit of a commodity is interchangeable with another unit of the same grade and quality. For example, one barrel of crude oil or one ounce of gold is the same everywhere. Types of Commodities: Metals – Gold, silver, platinum, copper, aluminum. Energy – Crude oil, natural gas, coal, gasoline. Agricultural Products – Wheat, corn, coffee, sugar, cotton. Livestock – Cattle, hogs, poultry. Why Trade Commodities? Hedging: Farmers, oil producers, and companies hedge against price fluctuations. Speculation: Traders bet on rising or falling prices for profit. Diversification: Commodities often move differently than stocks and bonds. Inflation Hedge: Gold and oil, for example, rise when currency value falls. Commodity Exchanges Trading takes place on global exchanges such as: Chicago Mercantile Exchange (CME) – US-based futures and derivatives. London Metal Exchange (LME) – Specializes in metals. Multi Commodity Exchange (MCX) – India’s largest commodity exchange. Intercontinental Exchange (ICE) – Covers energy, agricultural, and financial products. Forms of Commodity Trading Spot Trading – Buying or selling the physical commodity for immediate delivery. Futures Trading – Contracts to buy/sell at a predetermined price on a future date. Options on Commodities – Gives the right, not obligation, to buy or sell futures. Commodity ETFs – Exchange-traded funds that track commodity prices. CFDs (Contracts for Difference) – Speculating on price without owning the commodity. Key Influences on Commodity Prices Supply & Demand – Fundamental factor; drought affects wheat, OPEC decisions affect oil. Geopolitics – Wars, sanctions, and trade disputes impact energy and metals. Weather & Natural Disasters – Hurricanes affect crude oil; droughts impact crops. Currency Movements – Commodities priced in USD; weaker USD makes commodities cheaper globally. Technology & Alternatives – Renewable energy can reduce demand for oil and coal. Example: Gold Trading Gold is considered a safe-haven asset. When equity markets are uncertain, investors flock to gold. It is traded both physically and via futures contracts. Factors affecting gold include inflation, central bank policies, and geopolitical risks. Part 2: Understanding Currency Trading (Forex) What is Forex? Forex (Foreign Exchange) is the world’s largest and most liquid financial market, with daily turnover exceeding $7 trillion (BIS 2022). It involves trading one currency against another, such as USD/JPY or EUR/INR. Currency Pairs Currencies are quoted in pairs: Major Pairs – USD paired with EUR, GBP, JPY, CHF, AUD, CAD. Minor Pairs – Non-USD pairs like EUR/GBP or AUD/NZD. Exotic Pairs – Emerging market currencies like USD/INR, USD/TRY. Example: EUR/USD = 1.1000 means 1 Euro = 1.10 US Dollars. Why Trade Currencies? Speculation: Profiting from price movements. Hedging: Companies hedge against foreign exchange risks in trade. Arbitrage: Exploiting differences between currency markets. Global Trade: Facilitates international business transactions. Participants in Forex Central Banks – Control monetary policy and intervene in markets. Commercial Banks – Provide liquidity. Corporations – Hedge foreign earnings or payments. Hedge Funds & Investors – Large speculators. Retail Traders – Small participants trading via brokers. Trading Mechanisms Spot Forex – Immediate exchange of currencies. Forward Contracts – Agreement to exchange at a future date. Futures & Options – Standardized exchange-traded contracts. CFDs – Retail traders speculate without owning currencies. Factors Affecting Currency Prices Interest Rates – Higher rates attract foreign capital. Inflation – High inflation weakens a currency. Economic Indicators – GDP, employment, trade balance. Geopolitical Events – Elections, wars, sanctions. Central Bank Policies – Quantitative easing, intervention. Risk Sentiment – “Risk-on” favors emerging currencies, “Risk-off” favors safe-havens like USD/JPY/CHF. Example: USD/INR If the US Federal Reserve raises interest rates, demand for USD increases, and INR weakens. Conversely, strong Indian GDP data could strengthen INR. Part 3: Strategies in Commodities Trading Trend Following – Trade in direction of price momentum. Seasonal Trading – Agricultural commodities follow cycles. Spread Trading – Long one commodity, short another (e.g., WTI vs Brent crude). Hedging – Farmers lock prices using futures. Technical Analysis – Using charts, candlestick patterns, indicators. Part 4: Strategies in Currency Trading Carry Trade – Borrow in low-interest-rate currency, invest in high-yielding one. Scalping & Day Trading – Small, quick profits in liquid pairs like EUR/USD. Swing Trading – Capture medium-term currency trends. News Trading – Trading around economic releases (NFP, CPI, Fed rate decisions). Hedging – Companies use forwards to protect against currency risk. Part 5: Risks in Commodities & Currency Trading Leverage Risk: Both markets offer high leverage, magnifying losses. Price Volatility: Sudden moves due to geopolitical or natural events. Liquidity Risk: Exotic currencies and less-traded commodities may have low liquidity. Counterparty Risk: In OTC forex and CFD markets. Regulatory Risk: Government bans, restrictions, and policy shifts. Emotional Risk: Greed and fear drive many traders into poor decisions. Part 6: Risk Management & Best Practices Position Sizing – Never risk more than 1–2% of capital on a single trade. Stop-Loss Orders – Protect against unexpected volatility. Diversification – Trade multiple commodities/currencies, not just one. Stay Informed – Follow economic calendars, OPEC meetings, and weather reports. Technical + Fundamental Mix – Balance chart reading with economic analysis. Avoid Over-Leverage – Excessive borrowing leads to margin calls. Keep a Trading Journal – Track mistakes and learn from them. Part 7: Future Trends in Commodities & Currencies Digital Currencies (CBDCs & Cryptocurrencies) may influence forex. Green Energy Transition will shift commodity demand from oil/coal to lithium, copper, and renewable resources. Algorithmic & AI Trading is expanding in both markets. Geopolitical Fragmentation will continue to impact global trade and currency alignments. Conclusion Commodities and currency trading are the lifeblood of the global economy. They are more than speculative arenas—they enable trade, protect producers and consumers, and balance international financial systems. For traders, these markets provide immense opportunities, but also demand discipline, knowledge, and risk management. A successful trader must understand both macroeconomic fundamentals and technical signals, while maintaining emotional control. In the end, whether trading gold futures or EUR/USD pairs, the principles remain the same: manage risk, stay informed, follow discipline, and trade with a plan.
NSE:INFYEducation
by TechnicalExpress
Divergence SecretsIntroduction to Options Trading (Educational Foundation) Options are one of the most important financial instruments available in modern markets. For a beginner, understanding them may feel overwhelming at first, but with the right approach, they can become a powerful tool for investment, speculation, and risk management. An option is a financial contract that gives its holder the right (but not the obligation) to buy or sell an asset, such as a stock, at a predetermined price, within a fixed time frame. There are two major types of options: Call Option – Provides the right to buy the underlying asset at a fixed price (called the strike price). Put Option – Provides the right to sell the underlying asset at a fixed price. For example: Imagine you believe Infosys stock, currently at ₹1600, will rise soon. Instead of buying the stock directly, you can buy a call option with strike ₹1650. If Infosys rises to ₹1700, your option increases in value, and you earn profit without investing the full cost of shares. This flexibility is what makes options attractive—but also dangerous if used without proper strategies. Why Beginners Need Strategies Instead of Random Trades Options can generate huge profits, but they can also cause significant losses. Many beginners are tempted to “buy cheap options” hoping for quick riches. Unfortunately, statistics show that most lose money in the long run. The reasons are: Options lose value with time decay (Theta). Market moves are unpredictable; random bets rarely succeed. Beginners underestimate risk exposure. That’s why structured strategies are necessary. A strategy gives: Clarity – A defined plan for entry and exit. Risk management – Limited losses instead of unlimited risk. Flexibility – Ability to profit in different market conditions (bullish, bearish, sideways, or volatile). In education terms: A strategy is like a map. Just as students need a study plan to pass exams, traders need strategies to succeed in markets.
NSE:INFYEducation
by SkyTradingZone
INFY Bullish Setup** IF you like my observation, please boost and follow for more content." Ticker: INFY Time Frame: 1-Hour Trade Type: Bullish Entry Point: 1486.20 Target Price (TP): 1589.15 Stop Loss (SL): 1417.45 Risk-to-Reward Ratio (RRR): 1:1.5 Trade Setup and Rationale: Market Context: INFY has been showing signs of recovery, breaking out of a corrective phase. The price is currently positioned for a potential uptrend, supported by a significant bullish pattern forming on the chart. Entry Point (1486.20): The price has recently tested a support zone and is now showing signs of a strong reversal. The entry point is set just above this level, ensuring a confirmation of the bullish trend before committing to the trade. Target Price (1589.15): The target is set at a key resistance level where price is expected to face potential selling pressure. This level aligns with previous highs and is a reasonable place to lock in profits while riding the trend. Stop Loss (1417.45): The stop loss is placed just below the recent swing low, ensuring that the trade has a controlled risk. This placement minimizes the risk of getting stopped out in case of minor fluctuations while keeping the risk-to-reward ratio favorable. Trade Logic: The trade is supported by a bullish breakout pattern with increasing volume. After a period of consolidation, price action is showing signs of upward momentum, making this a high-probability trade setup. The risk-to-reward ratio of 1:1.5 offers a balanced risk for the potential reward, providing a good trading opportunity with a well-placed stop loss. Volume Confirmation: Volume is showing a steady increase as the price starts moving upward, indicating that market participants are supporting the bullish move. Trend Confirmation: The trend is confirmed by the price breaking above previous resistance, and the bullish setup aligns with the market structure.
NSE:INFYLong
by Crystal_0404
2
Banking & Financial Sector TradingIntroduction The banking and financial sector is often called the “backbone of the economy.” It provides credit, liquidity, and financial services that allow businesses, governments, and households to function smoothly. In the stock market, the Bank Nifty Index (for banking) and the Nifty Financial Services Index (for financials) are widely tracked because they reflect the health of India’s financial system. Traders and investors keep a very close eye on these sectors because movements here often lead the overall market direction. Trading in the banking and financial sector is not just about price speculation—it’s about understanding monetary policy, liquidity, credit cycles, interest rates, and even global market cues. In India, the sector is home to giant players like HDFC Bank, ICICI Bank, SBI, Axis Bank, Kotak Mahindra Bank, Bajaj Finance, HDFC Ltd., and insurance companies like SBI Life, ICICI Prudential, etc. These stocks often have high weightage in Nifty 50 and Bank Nifty, making them critical for traders. In this guide, we’ll explore the dynamics of banking and financial sector trading in detail—covering fundamentals, technical aspects, strategies, and risks. 1. Importance of Banking & Financial Sector in Markets 1.1. Market Leadership Banking and financial stocks carry a huge weightage in indices like Nifty 50 (about 35–40%) and Bank Nifty (100% financials). Their movement can pull up or drag down the entire market. 1.2. Economic Indicator A strong banking sector signals credit growth, consumer demand, and corporate expansion. Weak banking stocks often warn of bad loans (NPAs), liquidity crunches, or slowing growth. 1.3. Liquidity Provider Banks are intermediaries that channel savings into investments. NBFCs (Non-Banking Financial Companies) provide credit in segments where banks are limited (retail loans, small businesses, etc.). 1.4. Regulatory Influence RBI policy decisions (repo rate, CRR, SLR) directly impact profitability of banks and NBFCs. Insurance and AMC regulations also affect financial services companies. 2. Key Drivers of Banking & Financial Stocks 2.1. Interest Rates & Monetary Policy Banks earn profit through Net Interest Margin (NIM) = Interest earned – Interest paid. When RBI hikes rates, borrowing costs rise, loan demand may slow, and NIMs can shrink. NBFCs, which depend on borrowing from banks/markets, suffer more in a rising rate cycle. 2.2. Credit Growth Rising loan disbursements (retail, housing, corporate) show healthy demand and economic expansion. Slowing credit growth indicates weak business activity. 2.3. Asset Quality & NPAs Non-performing assets (bad loans) directly impact profitability. Market reacts sharply to NPA trends in quarterly results. 2.4. Global Cues US Fed interest rates, global liquidity, and FII flows strongly influence Indian financials. Banking and financial stocks are FII favorites due to their scale and liquidity. 2.5. Regulations & Reforms RBI norms on lending, provisioning, and digital banking. Reforms like PSU bank recapitalization or mergers often trigger big moves. 3. Major Segments in Banking & Financial Sector 3.1. Public Sector Banks (PSBs) Examples: SBI, PNB, Bank of Baroda. Sensitive to government policies and recapitalization news. Often trade at lower valuations compared to private banks. 3.2. Private Sector Banks Examples: HDFC Bank, ICICI Bank, Axis Bank, Kotak Bank. Preferred by investors for efficiency, growth, and better asset quality. 3.3. NBFCs & Housing Finance Companies (HFCs) Examples: Bajaj Finance, HDFC Ltd., LIC Housing Finance. More volatile due to dependence on borrowing. Sensitive to liquidity conditions (IL&FS crisis in 2018 showed the risks). 3.4. Insurance Companies Examples: SBI Life, HDFC Life, ICICI Prudential. Long-term business models; growth tied to financialization of savings. Sensitive to regulations, persistency ratios, and premium growth. 3.5. Asset Management Companies (AMCs) Examples: HDFC AMC, Nippon Life AMC. Earnings linked to equity market performance and SIP inflows. 4. Trading Approaches for Banking & Financial Sector 4.1. Fundamental Trading Focus on quarterly results (NIMs, NPAs, loan growth, provisions). Trade based on monetary policy expectations. Position around events like RBI policy, Fed meetings, budget announcements. 4.2. Technical Trading Use Bank Nifty and FinNifty charts for market direction. Patterns like breakouts, volume surges, and moving averages are reliable due to high liquidity. 4.3. Options Trading in Bank Nifty Bank Nifty options are among the most liquid in India. Strategies: Straddle, Strangle, Iron Condor, Bull Call Spread—especially effective around RBI policy days. 4.4. Event-Based Trading Quarterly earnings: Banks often move 5–10% after results. RBI policy announcements: Big intraday volatility. Budget & government announcements: Impact PSBs and NBFCs. 5. Key Trading Strategies 5.1. Bank Nifty Trend Following Use 20-day & 50-day EMA crossover. Trade long when 20 > 50 EMA, short when 20 < 50 EMA. 5.2. Volume Profile & Support-Resistance Identify high-volume zones on Bank Nifty to trade breakouts. Example: A breakout above 50,000 level with high volume often leads to strong momentum. 5.3. Options Straddle for RBI Days Place both Call and Put options near ATM (at-the-money). RBI policy usually triggers sharp moves, giving profit on one side. 5.4. Pair Trading Go long on strong private bank (e.g., ICICI Bank) and short on weaker PSU bank (e.g., PNB). Profits from relative performance rather than market direction. 5.5. Momentum Trading in NBFCs Stocks like Bajaj Finance, HDFC Ltd. show sharp moves. Trade based on breakout with tight stop-loss. 6. Risk Management in Banking & Financial Trading 6.1. Volatility Risk Bank Nifty is more volatile than Nifty. Use proper stop-loss and position sizing. 6.2. Event Risk RBI meetings, global Fed decisions can cause whipsaws. Hedge positions with options. 6.3. Credit Cycle Risk Sudden rise in NPAs (like during COVID) can crash banking stocks. Always track asset quality updates. 6.4. Liquidity Risk in NBFCs NBFCs may face liquidity crunches (e.g., IL&FS crisis). Traders must stay alert to bond market signals. 7. Case Studies 7.1. Yes Bank Crisis (2018–2020) Once a market darling, collapsed due to hidden NPAs. Stock crashed from ₹400+ to below ₹10. Lesson: Always track asset quality, not just growth numbers. 7.2. HDFC Bank Consistency Delivered consistent growth in NIMs and low NPAs for years. Became a favorite for traders and investors alike. 7.3. Bajaj Finance Volatility Known for strong growth but sharp corrections. A stock loved by momentum traders. 8. Future Trends in Banking & Financial Sector 8.1. Digital Banking UPI, fintech partnerships, and digital lending will reshape the sector. Stocks tied to fintech may see explosive growth. 8.2. Consolidation of PSBs Mergers will strengthen balance sheets and efficiency. Trading opportunities in re-rating of PSU banks. 8.3. Global Integration Indian financial stocks will be increasingly influenced by global capital flows. 8.4. Rise of Retail Participation Growing SIPs and insurance penetration will boost financial stocks. 9. Practical Trading Checklist 📌 Track RBI policy and global central banks. 📌 Watch NIMs, NPAs, and credit growth in results. 📌 Use Bank Nifty chart for market direction. 📌 Trade with stop-loss and manage risk carefully. 📌 Use options strategies during high-volatility events. Conclusion The banking and financial sector is the heartbeat of the stock market. Traders must understand interest rate cycles, credit growth, and regulatory changes to succeed. With indices like Bank Nifty and FinNifty, this sector offers huge liquidity, volatility, and opportunities for both short-term and long-term traders. Whether you are trading a PSU bank breakout, riding a private bank trend, playing NBFC volatility, or hedging with Bank Nifty options, success depends on combining fundamental awareness with technical precision and disciplined risk management. In India’s growth journey, the financial sector will continue to lead—making it one of the most exciting and rewarding sectors for trading.
NSE:INFYEducation
by TechnicalExpress
Trading Master ClassIntroduction to Options Trading Options trading is one of the most flexible and powerful tools in the financial markets. Unlike stocks, where you simply buy and sell ownership of a company, options are derivative contracts that give you the right, but not the obligation, to buy or sell an underlying asset at a predetermined price within a specified time frame. The beauty of options lies in their strategic possibilities — they allow traders to make money in rising, falling, or even sideways markets, often with less capital than buying stocks outright. But with that flexibility comes complexity, so understanding strategies is crucial. Key Terms in Options Trading Before we jump into strategies, let’s understand the key terms: Call Option – Gives the right to buy the underlying asset at a fixed price (strike price) before expiry. Put Option – Gives the right to sell the underlying asset at a fixed price before expiry. Strike Price – The price at which you can buy/sell the asset. Premium – The price you pay to buy an option. Expiry Date – The date the option contract ends. ITM (In-the-Money) – When exercising the option would be profitable. ATM (At-the-Money) – Strike price is close to the current market price. OTM (Out-of-the-Money) – Option has no intrinsic value yet. Lot Size – Minimum number of shares/contracts per option. Intrinsic Value – The real value if exercised now. Time Value – Extra premium based on time left to expiry.
NSE:INFYEducation
by SkyTradingZone
1
Technical Analysis for Modern Markets1. Introduction to Technical Analysis (TA) Technical Analysis (TA) is the study of price action, volume, and market data to forecast future price movements. Unlike Fundamental Analysis (FA), which focuses on the intrinsic value of an asset, TA focuses on how the market is behaving rather than why it behaves that way. The core idea is simple: All known information is already reflected in the price, and market behavior tends to repeat because human psychology is consistent. However, in modern markets — dominated by high-frequency trading (HFT), AI algorithms, global interconnection, and social media-driven sentiment — TA has evolved far beyond simple chart patterns. 2. The Core Principles of Technical Analysis Charles Dow, considered the father of TA, laid the groundwork in the late 19th century. His principles still hold today, even with algorithmic speed: Price Discounts Everything All factors — earnings, news, global events — are already priced in. Prices Move in Trends Markets move in identifiable trends until they reverse. History Tends to Repeat Itself Patterns emerge because market participants (humans or algorithms programmed by humans) react in similar ways over time. 3. Evolution of Technical Analysis in Modern Markets Old Era (pre-2000s): Hand-drawn charts, daily candles, minimal computing power. Indicators like RSI, MACD, and Moving Averages dominated. Modern Era (2000s–Present): Intraday data down to milliseconds. AI-powered trading systems scanning thousands of instruments simultaneously. Social sentiment analysis integrated into price action. Cross-market correlations (forex, equities, crypto, commodities). Volume profile, order flow, and market microstructure becoming mainstream. Why it matters: Today’s TA must adapt to speed, complexity, and noise. 4. Types of Technical Analysis 4.1. Chart-Based Analysis This is the visual study of price movement: Candlestick Charts — Show open, high, low, close (OHLC) data. Line Charts — Simpler, based on closing prices. Heikin Ashi & Renko — Smooth out market noise. Modern use: Candlestick charts are still king, but traders combine them with volume profile and order flow data for deeper insight. 4.2. Indicator-Based Analysis Indicators transform price/volume data mathematically to highlight trends and momentum. Categories: Trend Indicators Moving Averages (SMA, EMA) Ichimoku Cloud Supertrend Momentum Indicators RSI (Relative Strength Index) Stochastic Oscillator MACD (Moving Average Convergence Divergence) Volatility Indicators Bollinger Bands ATR (Average True Range) Volume Indicators On-Balance Volume (OBV) Chaikin Money Flow (CMF) Volume Profile (Modern favorite) Modern twist: Traders often use custom-coded indicators and multi-timeframe confluence instead of relying on one default indicator. 4.3. Market Structure Analysis Instead of just indicators, traders look at: Support & Resistance zones Swing highs/lows Break of Structure (BoS) Liquidity zones (stop-hunt areas) Modern adaptation: Market structure is paired with order flow & footprint charts for precision. 5. Volume Profile and Order Flow in Modern TA Traditional TA often ignored volume’s deeper story. Now, Volume Profile and Order Flow show where trading activity is concentrated. Volume Profile — Plots volume at price levels, revealing high-volume nodes (support/resistance zones). Order Flow Analysis — Tracks buy/sell imbalances at specific prices using Level II and footprint charts. Why it matters: Institutions place orders at certain price clusters — knowing these can reveal hidden market intentions. 6. Multi-Timeframe Analysis (MTA) Modern markets demand MTA: Higher timeframe: Identifies the main trend (weekly, daily). Lower timeframe: Finds precise entries (1-min, 5-min). Example: Weekly chart shows uptrend. Daily chart shows pullback. 5-min chart shows bullish reversal candle at support → high-probability long entry. 7. Market Psychology in Technical Analysis TA works largely because human emotions — fear and greed — repeat over time: Fear causes panic selling at lows. Greed causes overbuying at highs. Even in algorithmic markets, humans program the algorithms — embedding the same patterns of overreaction. 8. Chart Patterns in Modern Context Classic patterns still work but require confirmation due to fake-outs caused by HFT. Common patterns: Head & Shoulders Double Top/Bottom Triangles Flags/Pennants Modern approach: Pair patterns with: Volume confirmation Breakout retests Order flow validation 9. Fibonacci & Harmonic Trading Fibonacci retracements/extensions identify potential reversal zones. Harmonic patterns (Gartley, Bat, Butterfly) extend this with specific ratios. Modern adaptation: Combine Fibonacci with Volume Profile to find strong confluence zones. Use algorithmic scanners to detect patterns instantly. 10. Supply and Demand Zones Supply zones = where sellers overwhelm buyers. Demand zones = where buyers overwhelm sellers. Modern use: Use multi-timeframe supply/demand mapping. Watch for liquidity grabs before major moves. Conclusion Technical Analysis for modern markets is not just about drawing lines — it’s about understanding the story behind the price. From candlesticks to order flow, from Fibonacci to AI sentiment tools, TA has evolved into a fusion of art and science. In modern markets: Speed matters. Data depth matters. Adaptability matters most. Mastering TA means blending classic principles with cutting-edge tools, managing risk, and continuously learning — because markets, like technology, never stop evolving.
NSE:INFYEducation
by TechnicalExpress
4
Buy Infosys, stop loss 1546Infosys completed its major correction on 7 April after correcting about 35%. The stock has been forming a new impulse wave ever since. As given in the charts, the new impulse wave had a iii-wave extension and completed wave iii on 12 May and has been undergoing correction. Rationale : As marked in the charts, the structure represents a flat corrective structure under Elliot wave theory which is a 3-3-5 structure. Wave A (divides into three waves), wave B (divides into three waves) and wave C divides into 5-waves. The minimum requirement for wave A to Wave B ratio is >1 (for normal flat). As given in the chart, the corrective structure complies with all above conditions. Wave C has a 5-wave structure, sub-wave three has an extension (i.e. it has its own 5 waves). At Wave 2-3 to 4 ratio of 0.5 stocked bounced up and in the process completing the minimum requirement of Wave A to Wave B ratio of >1. Given this there is a good possibility for stock to proceed upwards. Buy with a stop loss of 1546, TP will be updated as waves unfold.
NSE:INFYLong
by ChartTheWave
2
INFY (Infosys Ltd)- Analysis Bullish Levels -if sustain above 1591 (early entry risky) then 1658 then 1725 then 1759 safe entry if sustain above this for 2 weeks) target can be around 1993 to 2060 if sustain above for a week or two then we expect more upside and wait for targets around 2227 to 2294 then 2462 to 2529 if sustains above for two weeks then hold for long term Bearish levels :- if sustain below 1490 to 1457 to 1440 below this bearish then 1389 to 1366 or 1339 good support with SL of 1289 below this more bearish. Then 1139 to 1088 will be the last hope **Consider some Points buffer in above levels **Disclaimer -  I am not a SEBI registered analyst or advisor. I does not represent or endorse the accuracy or reliability of any information, conversation, or content. Stock trading is inherently risky and the users agree to assume complete and full responsibility for the outcomes of all trading decisions that they make, including but not limited to loss of capital. None of these communications should be construed as an offer to buy or sell securities, nor advice to do so. The users understands and acknowledges that there is a very high risk involved in trading securities. By using this information, the user agrees that use of this information is entirely at their own risk. Thank you.
NSE:INFY
by PrashantTaralkar
Swing Trading - Stock Options - Setup CE/PE🔥 Stock Options Trading Strategy – Built on Core Swing/Positional Principles (85% Win Rate Setup) As a continuation of my last post on Swing and Positional Trading Setup with 85% Win Rate, I’m now sharing a Stock Options Trading Concept that follows the same core principles but is tailored specifically for liquid stock options. You’ve already been provided with a list of 100+ high-beta, liquid stocks. For this strategy, you will strictly focus only on those stocks. ✅ Strategy Setup 🔹 Timeframe Filters: • Monthly RSI > 60 (RSI has crossed and is holding above 60) • Weekly RSI > 60 (same condition as above) • Daily RSI: RSI must be crossing 60 or on the verge of crossing Now, on the Daily Chart, mark the current swing high and swing low. 📌 Two Entry Approaches: Approach 1: Breakout Entry • Entry: When swing high is broken. • Stop Loss (SL): Swing low or previous week’s low. Approach 2: Pullback Entry • Wait for a retracement from swing high (should not exceed 50% retracement). • Confirmation of pullback weakness: Volume bars should be shrinking/decreasing. • Entry: On breakout of the last candle high of the pullback. • Stop Loss: Swing low or previous week’s low. Once in the trade, trail your stop loss to cost after 3 consecutive bullish candles. 📤 Exit Rules • Exit the Stock Options position only if the Daily RSI drops below 60. ⚠️ Important Guidelines for Stock Options • 💡 Trade with only 1 lot. Never exceed your lot size. • 📅 Enter after 2 days of the monthly expiry and exit before 2 days of next monthly expiry to avoid smart money manipulation. • 🎯 Choose strike prices in multiples of 25, 50, 75, or 100 for better liquidity. • Example: If stock is at 1564, choose 1550 ITM or 1575 ATM. • ⏱️ For quick exits, always place exit orders at round numbers like 5 or 10 levels. • Example: If you entered at ₹70 and the option is at ₹144, place an exit at ₹140 or ₹145—not any random price. For PE buying- Monthly RSI < 40 Weekly RSI < 40 Daily RSi crossing 40 or below Same process for PE with 2 approach as you like but in reverse form. 🧠 Final Thoughts Stick to this simple, structured setup. Don’t complicate it. ✅ Backtest thoroughly ✅ Understand each setup ✅ Plan your trades BEFORE entering, never after. Let the market come to you—don’t chase it. Disclaimer - These posts are only to educate you all. You are responsible for the actions you take. Consult your advisor if you need. I am a Sr. Research Analyst in Equity Firm BUT not yet SEBI reg. High Beta Stock List for Options- 🚗 Auto • Bajaj Auto • Bosch Ltd • Eicher Motors • Hero Motocorp • Maruti Suzuki • TVS Motors • Tata Motors 🏦 Banking & Financial Services • Bank of Baroda • Kotak Mahindra Bank • Axis Bank • ICICI Bank • HDFC Bank • IndusInd Bank • Bajaj Finserv • Bajaj Finance • SBI 🧪 Chemicals • Aarti Industries • Atul Ltd • Navin Fluorine • UPL • Tata Chemicals 🍫 FMCG • Britannia Industries • Godrej Consumer • Tata Consumer • DMart • Hindustan Unilever • Dabur 💊 Pharma & Healthcare • Apollo Hospitals • Alkem Labs • Biocon • Divis Labs • Dr. Reddy’s • IPCA Labs • Laurus Labs • Lupin • Aurobindo Pharma • Sun Pharma • Cipla 💻 IT Sector • HCL Technologies • Infosys • LTIMindtree • TCS • Tech Mahindra • Wipro ⛓️ Steel & Metals • APL Apollo Tubes • JSW Steel • Jindal Steel • Tata Steel • Hindalco • L&T 🛢️ Oil & Gas • Reliance Industries • Gujarat Gas • Indraprastha Gas (IGL) • Mahanagar Gas (MGL) • Tata Power 🏢 Realty • DLF Ltd • Godrej Properties • Lodha (Macrotech Developers) • Oberoi Realty • Phoenix Mills 🛋️ Durables & Others • Sona BLW (Sona Comstar) • Amber Enterprises • Bata India • Crompton Greaves • Dixon Technologies • Titan Company • ACC Cement • Ambuja Cement • Ultratech Cement • Voltas Ltd • Polycab India • Mazagon Dock (Mazdock) • Asian Paints • Berger Paints Cummins
NSE:INFYEducation
by SwingAcademy
Swing Trading Stock Options - High Momentum Strategy🔥 Stock Options Trading Strategy – Built on Core Swing/Positional Principles (85% Win Rate Setup) - As a continuation of my last post on Swing and Positional Trading Setup with 85% Win Rate, I’m now sharing a Stock Options Trading Concept that follows the same core principles but is tailored specifically for liquid stock options. You’ve already been provided with a list of 100+ high-beta, liquid stocks. For this strategy, you will strictly focus only on those stocks. ✅ Strategy Setup 🔹 Timeframe Filters: • Monthly RSI > 60 (RSI has crossed and is holding above 60) • Weekly RSI > 60 (same condition as above) • Daily RSI: RSI must be crossing 60 or on the verge of crossing Now, on the Daily Chart, mark the current swing high and swing low. 📌 Two Entry Approaches: Approach 1: Breakout Entry • Entry: When swing high is broken. • Stop Loss (SL): Swing low or previous week’s low. Approach 2: Pullback Entry • Wait for a retracement from swing high (should not exceed 50% retracement). • Confirmation of pullback weakness: Volume bars should be shrinking/decreasing. • Entry: On breakout of the last candle high of the pullback. • Stop Loss: Swing low or previous week’s low. Once in the trade, trail your stop loss to cost after 3 consecutive bullish candles. 📤 Exit Rules • Exit the Stock Options position only if the Daily RSI drops below 60. ⚠️ Important Guidelines for Stock Options • 💡 Trade with only 1 lot. Never exceed your lot size. • 📅 Enter after 2 days of the monthly expiry and exit before 2 days of next monthly expiry to avoid smart money manipulation. • 🎯 Choose strike prices in multiples of 25, 50, 75, or 100 for better liquidity. • Example: If stock is at 1564, choose 1550 ITM or 1575 ATM. • ⏱️ For quick exits, always place exit orders at round numbers like 5 or 10 levels. • Example: If you entered at ₹70 and the option is at ₹144, place an exit at ₹140 or ₹145—not any random price. For PE buying- Monthly RSI < 40 Weekly RSI < 40 Daily RSi crossing 40 or below Same process for PE with 2 approach as you like but in reverse form. 🧠 Final Thoughts Stick to this simple, structured setup. Don’t complicate it. ✅ Backtest thoroughly ✅ Understand each setup ✅ Plan your trades BEFORE entering, never after. Let the market come to you—don’t chase it. Disclaimer - These posts are only to educate you all. You are responsible for the actions you take. Consult your advisor if you need. I am a Sr. Research Analyst in Equity Firm BUT not yet SEBI reg. 100+ Stocks List - High Beta - 🚗 Auto • Bajaj Auto • Bosch Ltd • Eicher Motors • Hero Motocorp • Maruti Suzuki • TVS Motors • Tata Motors 🏦 Banking & Financial Services • Bank of Baroda • Kotak Mahindra Bank • Axis Bank • ICICI Bank • HDFC Bank • IndusInd Bank • Bajaj Finserv • Bajaj Finance • SBI 🧪 Chemicals • Aarti Industries • Atul Ltd • Navin Fluorine • UPL • Tata Chemicals 🍫 FMCG • Britannia Industries • Godrej Consumer • Tata Consumer • DMart • Hindustan Unilever • Dabur 💊 Pharma & Healthcare • Apollo Hospitals • Alkem Labs • Biocon • Divis Labs • Dr. Reddy’s • IPCA Labs • Laurus Labs • Lupin • Aurobindo Pharma • Sun Pharma • Cipla 💻 IT Sector • HCL Technologies • Infosys • LTIMindtree • TCS • Tech Mahindra • Wipro ⛓️ Steel & Metals • APL Apollo Tubes • JSW Steel • Jindal Steel • Tata Steel • Hindalco • L&T 🛢️ Oil & Gas • Reliance Industries • Gujarat Gas • Indraprastha Gas (IGL) • Mahanagar Gas (MGL) • Tata Power 🏢 Realty • DLF Ltd • Godrej Properties • Lodha (Macrotech Developers) • Oberoi Realty • Phoenix Mills 🛋️ Durables & Others • Sona BLW (Sona Comstar) • Amber Enterprises • Bata India • Crompton Greaves • Dixon Technologies • Titan Company • ACC Cement • Ambuja Cement • Ultratech Cement • Voltas Ltd • Polycab India • Mazagon Dock (Mazdock) • Asian Paints • Berger Paints Cummins Best of luck. Comments if you have any doubts. God bless you all, be happy! Faraaz T Sr. Equity Research Analyst Stockholm Securities - UK
NSE:INFYEducation
by SwingAcademy
6
Swing & Positional Trading Setup - 85% Win Rate✅ Set up for Positional and Swing Trades (High Beta Liquid Stocks for Cash and Options)- This trading guide outlines a simple and effective setup for both positional and swing trades, focused on high beta, highly liquid stocks. Follow the rules strictly for better consistency and profitability. 🔹 Positional Trade Setup • Open the Monthly Chart of the stock. • Add the RSI (Relative Strength Index) indicator. • Uncheck all levels (30, 50, 70) and only keep one level at 60. • Edit the level from 70 to 60 and highlight it in green. Entry Criteria: • Stock must cross the 60 RSI level on the monthly chart. • Entry is only triggered if the price breaks the previous month's high and 60 levels are broken in RSI. Stop Loss: • Place the initial stop loss below the previous month's low. Trailing Stop Loss: • Trail the stop loss to the current month’s low, but only after the monthly candle closes. • Continue trailing the stop loss every month using this method until exit. Exit Rule: • Exit the positional trade only if the current month’s candle closes below the previous month’s low OR Exit also if the BigWick is formed below previous month low. ⚡ Note: The RSI 60+ setup is a powerful momentum strategy with high reward probability. 🔹 Swing Trade Setup • Monthly RSI must cross above the 60 level. • Switch to the Daily Chart of the stock. • Identify the current swing high on the daily chart. • Entry is triggered only when the stock breaks the swing high. • Place the stop loss below the previous week low at first. Trailing Stop Loss: • If the trade moves in your favor, trail the stop loss to cost from week low. Exit Rule: • Exit the swing trade only if RSI crosses below 60 with a daily candle close. 📌 High Liquid Stocks List (Suitable for both Cash and Options Segment) 🚗 Auto • Bajaj Auto • Bosch Ltd • Eicher Motors • Hero Motocorp • Maruti Suzuki • TVS Motors • Tata Motors 🏦 Banking & Financial Services • Bank of Baroda • Kotak Bank • Axis Bank • ICICI Bank • HDFC Bank • IndusInd Bank • Bajaj FinServ • Bajaj Finance • SBI 🧪 Chemicals • Aarti Industries • Atul Ltd • Navin Fluorine • UPL • Tata Chemicals 🍫 FMCG • Britannia • Godrej Consumer • Tata Consumer • DMart • Hindustan Unilever • Dabur 💊 Pharma & Healthcare • Apollo Hospitals • Alkem • Biocon • Divis Labs • Dr. Reddy’s • IPCA Labs • Laurus Labs • Lupin • Aurobindo Pharma • Sun Pharma • Cipla 💻 IT Sector • HCL Technologies • Infosys • LTIM • TCS • Tech Mahindra • Wipro ⛓️ Steel & Metals • APL Apollo • JSW Steel • Jindal Steel • Tata Steel • Hindalco • L&T 🛢️ Oil & Gas • Reliance Industries • Gujarat Gas • IGL • MGL • Tata Power 🏢 Realty • DLF • Godrej Properties • Lodha • Oberoi Realty • Phoenix Mills 🛋️ Durables & Others • Sona BLW (Sonacoms) • Amber Enterprises • Bata India • Crompton • Dixon Technologies • Titan • ACC Cement • Ambuja Cement • Ultratech Cement • Voltas • Polycab • Mazdock • Asian Paints • Berger Paints 📝 Conclusion This is the final and simplified setup designed for traders looking for clarity and consistency in trading. No complicated indicators or confusing rules—just clean chart action with momentum logic. Please don't trade Intraday and Index options - its a TRAP. Index and Options are hedging tools used by Sharks to secure their capital. Don't use as a tradable script. You will loose 100%. Focus on what you can achieve with their footprints. Faraz T Sr. Equity Research Analyst (Ind, US, UK)
NSE:INFYEducation
by SwingAcademy
4
Infosys Ready For 30% Potential UpsideFrom 2000 to 2020 Over period of 20 Years ( Observe The Marked Circles) Infosys on Monthly TF has Bounced And Rallied Sharply Everytime it has Touched 88 ~ 100 MEMA after Crossing the 20-50 MEMA and has traded in a Parallel Channel which provides a Stable And Solid Structure to Match the Fundamental Growth of the Stock. Ever Since The Mega Breakout of 2020 after crossing 1.618 Fib Extension of the Rally that began in 2000 We have Upgraded the Channel We are Near the Trendline and have been consolidating for about 8 Weeks without any signs of Bearishness. This Prolonged consolidation followed by Trendline break and Historical Higher Monthly TF Support makes good case for Potential Upside of about 30% from CMP 1618 which will gain momentum above 1720. Targeting 2000~2100 which happens to coincide with Upper End of the Parallel Channel Look for the Inv Head and Shoulder in Formation in Short term for Swing Trade Hereby Sharing a Short term Potential Trade with Longer Term Perspective in The Description above. Buy Above 1638 SL below 1530 TP 1950~ 2000 R:R = 3
NSE:INFYLong
by DrAnandM
1