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Harmonic Patterns

Nykaa 4 Hour View 1. TradingView Analyst Highlight Suggests a key support zone between ₹190–₹195, forming the base of an ascending broadening wedge. If this holds, a potential upward breakout could be expected. 2. MarketScreener Technical Overview Short-term (4-hour) trend: Bullish Support: ~₹213.84 Resistance: ~₹226.83 3. MunafaSutra (Intraday Levels) Short-term resistance: ₹207.84 Support: ₹200.77 Interpretation & Strategy Intraday/Very Short-Term: Monitor support at ₹200–₹201 and resistance near ₹208. Breakout/breakdown from these lines may trigger short-term moves. Medium-Term (4-Hour Setups): A move above ₹214 could signal continuation toward ₹227, while a break below ₹214 may draw price toward the ₹190–₹195 zone. Key Area to Watch: Lower Support: ₹190–₹195 — critical for longer-term setup. Major Resistance: Around ₹227 — validated by MarketScreener resistance.
NSE:NYKAALong
by TechnicalExpress
6
Supreme Industries 1 Day View1-Day Technical Overview Consensus Ratings TradingView signals a Buy rating for today, with a Strong Buy for the 1-week timeframe Investing.com offers a robust Strong Buy across multiple timeframes (30 min, hourly, daily, weekly, and monthly) Similarly, another Investing.com source reiterates: Strong Buy on both moving averages (12:0 buy:sell) and technical indicators (9:0) Indicator Highlights (as of Aug 25, 2025) RSI (14): 68.5 — indicates bullish momentum, nearing overbought territory MACD, ADX, CCI, ROC, Ultimate Oscillator, Bull/Bear Power: All show Buy signals. Williams %R and StochRSI suggest Overbought Moving Averages (Simple & Exponential): All tracked periods (5, 10, 20, 50, 100, 200) yield Buy signals 1-Day Price & Market Context Latest stock price sits around ₹4,652–4,664, with intraday highs near ₹4,664.90 and lows round ₹4,586 VWAP (intraday volume-weighted average price) stands at approximately ₹4,634–4,636, suggesting current trading is slightly above average price levels
NSE:SUPREMEINDLong
by TechnicalExpress
4
PI Industries 1 Day ViewIntraday Snapshot Latest Price: As per Investing.com, the price on August 25, 2025, stood at ₹3,903.80, marking a 1.00% gain for the day Moneycontrol shows a pre-opening/early trading figure of ₹3,907.70, up roughly 1.10% Daily Price Range: Highest: ₹3,915.80 Lowest: ₹3,844.10 Previous Close: ₹3,865.10 on August 22, 2025, meaning today’s gain is from this base Summary Table Metric Value Current Price ₹3,904–₹3,908 Intraday Range ₹3,844 – ₹3,916 Day’s Gain ~1.0% Previous Close ₹3,865.10
NSE:PIINDLong
by TechnicalExpress
4
Algo & Quantitative TradingIntroduction: Trading in the Modern World Trading has evolved dramatically over the years. From the days of shouting orders in crowded stock exchanges to the modern era of laptops, smartphones, and AI-driven strategies, the financial markets have always been a reflection of both human psychology and technological advancement. In today’s world, two powerful approaches dominate professional and institutional trading: Algorithmic Trading (Algo Trading) – where computer programs execute trades based on pre-defined rules. Quantitative Trading (Quant Trading) – where mathematical models, statistics, and data analysis decide when and how to trade. Though closely related, these two are not the same. Algo trading focuses on execution speed and automation, while quant trading is about designing profitable models using numbers, probabilities, and logic. This guide will take you step by step through both concepts—explaining them in simple, human terms while keeping all the depth intact. Part 1: What is Algorithmic Trading? The Basics Algorithmic Trading, or Algo Trading, is when a computer follows a set of instructions (an algorithm) to buy or sell assets in the financial markets. Instead of a trader sitting at a desk watching charts, a machine takes over. Think of it like teaching a robot: “If stock A rises above price X, buy 100 shares.” “If the price falls below Y, sell them immediately.” The robot will follow these rules without fear, greed, or hesitation. Why It Exists Markets move fast—sometimes too fast for humans. Algo trading helps in: Speed: Computers react in microseconds. Accuracy: No emotional mistakes. Scalability: Algorithms can track hundreds of stocks simultaneously. Real-Life Example Imagine you want to buy Reliance Industries stock only if its price drops by 2% in a single day. Instead of staring at the screen all day, you set up an algorithm. If the condition is met, the trade executes instantly—even if you’re asleep. This is algo trading at work. Part 2: What is Quantitative Trading? The Basics Quantitative Trading (Quant Trading) is about designing strategies using math, statistics, and data analysis. A quant trader doesn’t just say, “Buy when the price goes up.” Instead, they might analyze: Historical data of 10 years. Probability of returns under different conditions. Mathematical models predicting future prices. Based on these calculations, they create a strategy with an edge. Why It Exists Quant trading is powerful because financial markets generate massive amounts of data. Human intuition can’t process it all, but mathematical models can find patterns. For example: Do stock prices rise after a company posts quarterly earnings? What’s the probability that Nifty will fall after 5 consecutive green days? How do global oil prices impact Indian airline stocks? Quant traders use such questions to create predictive strategies. Part 3: Algo vs. Quant Trading It’s important to understand the difference: Aspect Algo Trading Quant Trading Definition Using computer programs to execute trades Using math & data to design strategies Focus Automation & speed Analysis & probability Skillset Programming, tech setup Math, statistics, data science User Retail traders, institutions Hedge funds, investment banks Goal Execute orders efficiently Build profitable models In short: Quant trading designs the strategy, and algo trading executes it. Part 4: Building Blocks of Algo & Quant Trading 1. Data Everything begins with data. Traders use: Price data (open, high, low, close, volume). Fundamental data (earnings, revenue, debt). Alternative data (Twitter trends, news sentiment). 2. Strategy You need a clear set of rules: Trend-following: Buy when the price is rising. Mean reversion: Sell when the price is too high compared to average. Arbitrage: Profit from small price differences across markets. 3. Backtesting Before risking real money, traders test strategies on historical data. If it worked in the past, it might work in the future. But beware of overfitting (a model that works too well on old data but fails in real time). 4. Execution The algo takes the quant model and executes trades in real-time with perfect discipline. 5. Risk Management No system is perfect. Every strategy must have rules for: Stop-loss (cutting losses). Position sizing (how much money per trade). Diversification (not putting all eggs in one basket). Part 5: Types of Algo & Quant Strategies Trend Following “The trend is your friend.” Example: If Nifty50 crosses its 200-day moving average, buy. Mean Reversion Prices always return to average. Example: If stock falls 5% below its 20-day average, buy. Arbitrage Exploiting small price differences. Example: Buying gold in India and selling in the US if price gap exists. Statistical Arbitrage Using correlations between assets. Example: If Infosys and TCS usually move together but Infosys falls more, buy Infosys. High-Frequency Trading (HFT) Ultra-fast trades in microseconds. Mostly done by big institutions. Market Making Providing liquidity by constantly quoting buy/sell prices. Earns from the spread (difference between buy & sell price). Part 6: The Human Side of Algo & Quant Trading Advantages Emotionless Trading: No fear or greed. 24/7 Monitoring: Algorithms don’t need sleep. Scalability: Can track hundreds of markets. Speed: Reaction in microseconds. Disadvantages Over-Optimization: Models may look good on paper but fail in real life. Technical Risk: Server crash, internet issues, coding errors. Market Risk: Black swan events (like COVID-19 crash) break models. Competition: Big firms with better technology dominate. Part 7: Skills Needed for Algo & Quant Trading Programming: Python, R, C++, SQL. Math & Statistics: Probability, regression, time series. Finance Knowledge: Markets, assets, instruments. Risk Management: Understanding drawdowns and volatility. Critical Thinking: Testing, improving, adapting strategies. Part 8: Real-World Applications Retail Traders: Use algo bots to execute simple strategies. Hedge Funds: Rely on complex quant models for billions of dollars. Banks: Use algorithms for forex and bond trading. Crypto Market: Bots dominate trading on exchanges like Binance. Part 9: Future of Algo & Quant Trading The field is evolving rapidly with: Artificial Intelligence: Machines learning patterns without explicit coding. Machine Learning: Predicting stock moves using massive data. Big Data: Using social media, weather, and even satellite images for trading. Blockchain & Crypto: Automated bots running 24/7 in decentralized markets. Conclusion Algo & Quant Trading is not about replacing humans—it’s about augmenting human intelligence with machines. Humans still design strategies, understand risks, and set goals. Machines simply execute with precision. For small traders, algo trading can bring discipline and automation. For large institutions, quant trading offers data-driven profits. The future belongs to those who can combine mathematics, programming, and financial insight—because markets are not just numbers, they are reflections of human behavior expressed through data.
NSE:PNBEducation
by TechnicalExpress
9
Risk Smart, Grow Fast (Small Account Trading)Introduction Most traders dream of becoming full-time, financially free traders. But there’s a common challenge: many start with small accounts. When you have a small account, every dollar matters, and one bad trade can wipe out weeks or months of progress. At the same time, you want to grow your account quickly. This creates a tough balance: How do you grow fast without blowing up your account? The answer lies in being risk smart. Trading is not about taking the biggest bets; it’s about protecting your capital while allowing your money to grow steadily. The smaller the account, the more discipline and precision you need. In this guide, we’ll explore everything you need to know about small account trading, from psychology and risk management to strategies, tools, and growth plans. Chapter 1: The Psychology of a Small Account Trading a small account is more mental than technical. Let’s face it: A $100 profit may look tiny compared to the big players making thousands per day. Losses feel heavier because you have less cushion. Impatience is stronger—you want to grow fast. Here are some psychological traps: Overtrading: You feel like you must take every trade to “make it big.” Revenge Trading: After a loss, you double down to recover quickly. Comparing with others: Seeing other traders’ big profits makes you greedy. Fear of missing out (FOMO): You jump into trades without analysis because you don’t want to “miss the move.” 👉 The key mindset: Small gains compound into big growth. If you focus on risk management and consistency, your account will grow—not overnight, but steadily. Chapter 2: Why Small Accounts Blow Up Let’s talk honestly. Most small accounts don’t survive because traders break these rules: Too much risk per trade (risking 20–50% of the account). No stop-loss, leading to one trade wiping everything out. Chasing unrealistic returns, expecting to double the account in a week. Ignoring fees & commissions (especially in options or futures). Trading without a plan—just reacting to charts. For a small account, survival is victory. If you survive, you get time to grow. If you blow up, game over. Chapter 3: The Risk Smart Formula When you trade small accounts, risk is your shield. Here’s a simple formula: Risk 1–2% of your account per trade. Example: On a $500 account, risk only $5–$10 per trade. That way, 10 losing trades in a row won’t kill your account. Use stop-loss orders always. Decide your maximum loss before entering. Don’t move stops because of “hope.” Focus on high-probability setups. Don’t trade every move. Trade only when risk/reward is clear (at least 1:2 or 1:3). Position sizing is everything. If your stop-loss is $0.50 and you can risk $10, buy only 20 shares. Adjust size to protect capital. This is how small traders survive long enough to grow. Chapter 4: The Power of Compounding Small gains look boring—but they multiply. Example: If you make just 2% per week, on a $1,000 account, that’s $20/week. In one year, it grows to $2,700+. In five years, it becomes $30,000+. This is the hidden power of being risk smart. While others blow up accounts chasing 100% returns, you quietly build wealth. Chapter 5: Strategies for Small Accounts Now, let’s look at practical strategies you can use. 1. Scalping & Day Trading Take small, quick profits (0.5%–2% per trade). Works well because small accounts can’t handle long drawdowns. Best in liquid stocks or indices (Nifty, Bank Nifty, SPY, AAPL, etc.). 2. Swing Trading Hold trades for a few days to weeks. Good if you can’t sit in front of screens all day. Focus on strong trends and tight risk. 3. Options Trading (Careful!) Options allow leverage, which is good for small accounts. But they’re risky if you don’t manage size. Use defined-risk strategies like debit spreads or buying calls/puts with small capital. 4. Futures / Micro Contracts Some markets offer micro futures (like Micro E-mini S&P). They let small accounts trade big markets with low risk. 5. Focus on One Setup Small account traders shouldn’t try 10 strategies. Pick one high-probability pattern (breakouts, pullbacks, VWAP bounces, etc.). Master it. Chapter 6: The Growth Blueprint Here’s a step-by-step growth plan for a $500–$2,000 account. Stage 1: Survival (First 3–6 months) Goal: Don’t blow up. Focus on risk control and discipline. Take small positions, learn patterns, and build consistency. Stage 2: Consistency (6–12 months) Goal: Be profitable monthly. Focus on taking only A+ setups. Increase position size slowly. Stage 3: Scaling (1–3 years) Goal: Grow account steadily. Reinvest profits back. Gradually add more size once consistent. Stage 4: Freedom (3+ years) Goal: Trade for living. Now the account is large enough to provide income. Chapter 7: Tools Every Small Account Trader Needs Broker with low commissions: Fees eat small accounts alive. Charting platform: TradingView, ThinkOrSwim, Zerodha Kite. Stop-loss automation: Never rely on “mental stops.” Journal: Track every trade (why you entered, risk, result). Risk calculator: Helps decide position size. Chapter 8: Risk Smart Habits Always pre-plan trades (entry, stop, target). Avoid over-leverage. Respect stop-loss like a religion. Don’t trade to “make money fast.” Trade to protect capital. Review weekly: Look at what worked, what didn’t. Chapter 9: Case Studies Trader A: Greedy Approach Account: $1,000 Risk per trade: $200 (20%). Lost 3 trades in a row → account down to $400. Tried revenge trading → account blown in 1 month. Trader B: Risk Smart Account: $1,000 Risk per trade: $10 (1%). Trades 50 times in 3 months. Wins 30 trades with 1:2 risk/reward. End result: $1,300 account (30% growth). Still alive, compounding. 👉 Which trader has a future? Clearly, Trader B. Chapter 10: How to Grow Fast Without Blowing Up Here’s the balance you’re looking for: Trade high-probability setups only. Add leverage carefully. Start small, increase size only when consistent. Withdraw profits rarely. Reinvest to compound faster. Diversify income streams. Don’t rely only on one style (maybe mix swing & options). Conclusion Small account trading is tough—but not impossible. The secret is to be risk smart: protect your capital, take small but consistent gains, and avoid greed. By doing this, you’ll build discipline, confidence, and a growing account. The formula is simple: Risk small. Stay consistent. Compound gains. Grow fast—but safely. Remember: You don’t have to trade big to trade smart. But if you trade smart, one day you’ll trade big.
NSE:BANKNIFTYEducation
by TechnicalExpress
4
How to Read Price ActionIntroduction Price Action (PA) is the art and science of reading market movement directly from price charts, without over-reliance on lagging indicators. Professional traders, institutional players, and prop firms often emphasize price action because it reflects the pure psychology of buyers and sellers. Unlike trading based on technical indicators, price action trading relies on raw market data: candlesticks, support & resistance levels, chart structures, and volume context. Learning to read price action is like learning a new language — once you master it, you can understand what the market is saying at any given moment. Chapter 1: What is Price Action? Price Action refers to analyzing the actual price movement of a financial instrument over time. It does not depend on moving averages, oscillators, or complex indicators. It studies patterns, trends, support/resistance zones, candlestick formations, and order flow behavior. The ultimate goal is to understand the story behind each price move: who is in control (buyers or sellers), and where the next move might head. Key Idea: Price action is the footprint of money. When large institutions buy or sell, they leave traces on the chart — PA traders learn to read these footprints. Chapter 2: Why Read Price Action? Clarity – It removes clutter from charts. Universal Language – Works across all markets (stocks, forex, commodities, crypto). Flexibility – Adapts to all timeframes, from scalping 1-min charts to investing on weekly charts. Real-Time Decisions – Price action reacts instantly, unlike lagging indicators. Psychology-Based – Helps traders understand market sentiment: fear, greed, indecision. Chapter 3: Core Building Blocks of Price Action Before diving into strategies, you need to master the foundations: 3.1 Candlesticks Candlesticks are the backbone of price action. Each candle tells a story: Open, High, Low, Close (OHLC) show how price moved within that time frame. Long wicks = rejection. Long body = strong momentum. Small body = indecision. 3.2 Market Structure Higher Highs & Higher Lows (HH, HL) = Uptrend. Lower Highs & Lower Lows (LH, LL) = Downtrend. Sideways movement = Consolidation. 3.3 Support and Resistance (S/R) Support: A price level where buying pressure often appears. Resistance: A price level where selling pressure often emerges. These zones are not exact prices, but areas. 3.4 Trendlines & Channels Connecting swing highs/lows creates visual guides. Channels highlight when price is moving within a range. 3.5 Volume (Optional but Powerful) Volume confirms price moves — high volume validates breakouts, while low volume signals weak trends. Chapter 4: Candlestick Price Action Patterns 4.1 Reversal Patterns Pin Bar (Hammer, Shooting Star): Signals rejection at support/resistance. Engulfing Candle: Strong shift in momentum (bullish or bearish). Morning Star / Evening Star: Trend reversal confirmation. 4.2 Continuation Patterns Inside Bar: Market is pausing; breakout is likely. Flag & Pennant: Small correction before continuation. Marubozu: Strong conviction candle. 4.3 Indecision Patterns Doji: Balance between buyers and sellers. Spinning Top: Low conviction, sideways market. Lesson: Candlestick patterns only matter in the right context (support, resistance, trend zones). Chapter 5: Understanding Market Phases Price moves in cycles: Accumulation Phase: Smart money buys quietly, market moves sideways. Markup Phase: Strong uptrend begins (higher highs & higher lows). Distribution Phase: Smart money sells to late buyers, price moves sideways again. Markdown Phase: Downtrend begins (lower highs & lower lows). Price action traders learn to spot transitions between phases. Chapter 6: Reading Trends Uptrend: Look for buying opportunities on pullbacks. Downtrend: Look for selling opportunities on retracements. Range-bound: Focus on support/resistance rejections. Golden Rule: Trade with the trend until price clearly shows reversal signs. Chapter 7: Breakouts & Fakeouts Breakout: Price moves beyond key support/resistance with momentum. Fakeout (False Break): Price breaks a level but quickly reverses. Pro Tip: Watch volume + candle close for real confirmation. Chapter 8: Price Action Trading Strategies Here are practical strategies traders use: 8.1 Breakout Trading Identify consolidation → Wait for breakout → Enter with momentum. Example: Range breakout, Triangle breakout. 8.2 Pullback Trading Enter in the direction of trend after a retracement. Example: Price bounces off support in uptrend. 8.3 Reversal Trading Spot exhaustion patterns (Pin Bars, Engulfing) near major S/R zones. Requires patience and confirmation. 8.4 Supply and Demand Zones Supply = institutional sell zones. Demand = institutional buy zones. Price often reacts strongly when revisiting these levels. Chapter 9: The Psychology Behind Price Action Every candle reflects human psychology: Long bullish candle: Strong buyer confidence. Long bearish candle: Panic selling or strong bearish conviction. Doji: Confusion / indecision. Breakouts: Fear of missing out (FOMO) + herd mentality. Price action is a visual representation of trader emotions. Chapter 10: Common Mistakes in Reading Price Action Overcomplicating the chart – Too many lines, patterns, or zones. Ignoring market context – A bullish candle in a downtrend is weak. Chasing trades – Entering late after breakout. Forcing patterns – Seeing patterns that don’t exist. Neglecting risk management – PA gives entries, but stops are crucial. Conclusion Reading price action is not about memorizing patterns, but understanding the story behind the charts. It’s about seeing the battle between buyers and sellers and aligning with the winning side. Once you master candlesticks, support/resistance, trends, and psychology, price action becomes a powerful weapon that can work in any market, on any timeframe. The path is long, but with discipline, patience, and practice, you can become fluent in the language of price action.
NSE:KOTAKBANKEducation
by TechnicalExpress
2
Trade Idea: BTCUSD – Rising Channel Breakdown Setup 🔍 Market Context BTCUSD recently formed a rising channel (marked in purple) after a sharp sell-off. This is typically a corrective structure within a larger downtrend. Price action shows multiple rejections near the upper boundary of the channel, suggesting weakening bullish momentum. Currently, the price is testing the lower channel support. A break below this level would confirm bearish continuation. 📊 Trade Setup Type: Short (Sell) Entry: Breakdown of channel support (~112,750 region) Stop Loss: Above the recent minor swing high (~113,050) Target: 111,360 (first target), extended towards 110,950 (second target) Risk/Reward Ratio: ~5.28 (favorable) ✅ Why This Setup Looks Attractive (Pros) Clear Structure: Price is respecting the channel, and breakdown setups often trigger sharp moves. Strong Risk/Reward: Small stop-loss compared to potential downside. Trend Continuation: Aligns with the broader bearish pressure seen earlier. Volume Confirmation (if checked): Breakdowns with increasing volume add conviction. ⚠️ Risks To Consider (Cons) False Breakouts: BTC is known for liquidity hunts; price may dip below the channel only to bounce back. Support Zones Below: Strong demand around 111,000–110,750 may cause choppiness. Macro Factors: News or sudden volatility can invalidate technical setups. Risk Management Needed: Without discipline, tight stops can get hit quickly in crypto. 📌 Trade Management Stop Loss Discipline: Never move stop away from risk. Trailing Stop: Can be applied once price moves in favor by 1R to lock partial profits. Scaling Out: Take partial profits at 111,360 and hold remainder to 110,950. 📈 Probability Outlook Bearish Continuation Probability: ~65% False Breakout / Pullback Probability: ~25% Channel Hold & Reversal Probability: ~10%
CRYPTO:BTCUSDShort
by Aj1t4
1
[SeoVereign] BITCOIN BEARISH Outlook – August 23, 2025I would like to share my perspective on the Bitcoin short position as of August 23. The basis for this idea is twofold. First, the upward movement in the 118,684 ~ 117,435 range appears to be an impulse. The reason is that wave 5 forms a 1.272-length ratio of wave 1. Second, if you look at the red trendline, you can see that the downside breakout has begun. Therefore, I believe that adopting a bearish perspective is more reasonable. The target average price for this position is 114,340. I hope you achieve good results. I will continue to track price movements and update this idea to monitor future trends as well. Thank you.
Short
by SeoVereign
NIFTY- Intraday Levels - 25th August 2025If NIFTY sustain above 24915 to 24953 above this bullish then 24965/72 then 24979/85 or 24988/99 strong levels/range if sustain above 25050/69 then 25141/167 above this bullish then wait If NIFTY sustain below 2846/32 strong level 24759/29 then 24701 to 24679 below this more bearish then 24521 to 24482 below this more then wait Consider some buffer points in above levels. Please comment if you wish to see my analysis for any script/stock. Please do your due diligence before trading or investment. **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:NIFTY
by PrashantTaralkar
2
Stock Analysis: Asm technologies ASM Technologies Ltd.- technical chart and fundamentals for student learnings. Technical & Chart Pattern Analysis (Weekly Chart) Current Price (CMP): 1,520 Recent Move: Sharp rally from -500 in mid-2024 to a peak of -3,800 (multi-bagger move within months). Chart Pattern Observations 1. Parabolic Rally: Price rose almost vertically - unsustainable in the short term - healthy correction likely. 2. Strong Resistance Zones: -1,675 (immediate resistance & supply zone) -2,630 (major resistance, recent support turned resistance) -3,800 (swing top, all-time high) 3. Strong Support Zones: -1,450-1,500 (immediate support, CMP zone) - 1,250 (next support) - 950 (major strong support, base of previous rally) 4. Candlestick Observations: The last few weekly candles show long wicks at the top - profit booking and selling pressure. Current trend shows bearish engulfing signals near top - short-term correction expected. 🎯Perfect Entry Points for Swing / Positional Safe Accumulation Zone: 1,250-1,450 (near support, risk-reward favorable). Aggressive Buy Zone: 1,650-1,700 (if stock reclaims and sustains above with volume). Breakout Zone for Big Upside: 2,650+ weekly close - can attempt 3,200-3,800 again. Swing Analysis: Stock is in post-parabolic correction - Expect sideways consolidation between 1,250-2,000 for some weeks/months. Good for gradual SIP-style accumulation instead of lump sum buy. Fundamental Snapshot (ASM vs Competition) Metric (FY24-25) ASM Technologies Tata Elxsi KPIT Tech L&T Tech Market Cap -800 Cr -55,000 Cr -30,000 Cr -55,000 Cr PE Ratio -60+ (very high) -75 -65 -55 Debt/Equity Low (Good) Low Low Low Revenue Growth (3Y CAGR) High (-30-35%) -18% -20% -15% Profit Margins 8-10% 20%+ 15-18% 15-20% Dividend Yield Nil 0.8% 0.5% 0.7% 👉 Observation: ASM is a small-cap, high-growth, high-risk IT engineering services company. Valuation is stretched (like peers) but earnings base is tiny compared to Tata Elxsi or KPIT. High volatility due to low liquidity in stock. Key Learnings for Students 1. Parabolic moves always correct - don’t chase at top, wait for pullbacks. 2. Support & Resistance levels guide entry/exit - better risk-reward at support zones. 3. Volume + Candlestick confirmation is important before entering. 4. Fundamentals matter in long run - Always check PE ratio, debt levels, margins, and growth. 5. Small-cap IT can give multibaggers but carry high volatility - only invest money you can hold for 3-5 years. 👉Disclaimer: This analysis is for educational purposes only. Not a SEBI-registered advisory. Please consult your financial advisor before making any investment/trading decision. #ASMTechnologies #StockAnalysis #SwingTrading #ChartPatterns #SupportResistance #CandleStickAnalysis #TechnicalAnalysis #FundamentalAnalysis #InvestingForBeginners #StockMarketEducation #MultibaggerStocks #LongTermInvesting
BSE:ASMTECLong
by Global_Growth_Mentor
BTCUSD Key Zones: Supply/Demand Analysis & Breakout ScenariosThis chart highlights critical supply and demand zones for BTCUSD, mapping out possible bullish and bearish scenarios. If the price breaks above the supply zone, a sharp move towards 120,000+ is possible. Conversely, if the demand zone fails, BTCUSD could retest 108,000 or lower. Monitor these areas for effective risk management and potential intraday trades. Let me know your views on breakout or reversal setups in the comments!
CRYPTO:BTCUSD
by TradeTravel_Explore
Trading Master Class With ExpertsTips for Beginners in Options Trading Start with buying calls/puts before selling. Trade liquid instruments like Nifty/Bank Nifty. Learn Greeks slowly, don’t jump into complex strategies. Avoid naked option selling without hedging. Paper trade before risking real capital. Role of Volatility in Options Volatility is the lifeblood of options. High Volatility = Expensive Premiums. Low Volatility = Cheap Premiums. Traders often use Implied Volatility (IV) to decide whether to buy (when IV is low) or sell (when IV is high). Mastering Options Options are like a Swiss Army Knife of trading—one tool with multiple uses: speculation, hedging, and income generation. But with great power comes great responsibility. To succeed in options trading: Understand the basics thoroughly. Start small and simple. Master risk management. Use strategies suited to your market outlook. Keep emotions under control. With practice and discipline, options can become a game-changer in your trading journey.
NSE:KOTAKBANKEducation
by SkyTradingZone
2
Part 6 Learn Institutional TradingOptions in Indian Markets In India, options are traded on NSE and BSE, primarily on: Index Options: Nifty, Bank Nifty (most liquid). Stock Options: Reliance, TCS, Infosys, etc. Weekly Expiry: Every Thursday (Nifty/Bank Nifty). Lot Sizes: Fixed by exchanges (e.g., Nifty = 50 units). Practical Example – Nifty Options Trade Scenario: Nifty at 20,000. You expect big movement after RBI policy. Strategy: Buy straddle (20,000 call + 20,000 put). Cost = ₹200 (call) + ₹180 (put) = ₹380 × 50 = ₹19,000. If Nifty moves to 20,800 → Call worth ₹800, Put worthless. Profit = ₹21,000. If Nifty stays at 20,000 → Both expire worthless. Loss = ₹19,000. Option Trading Psychology Patience: Many options expire worthless, don’t chase every trade. Discipline: Stick to stop-loss and position sizing. Avoid Greed: Sellers earn small consistent income but risk blow-up if careless. Stay Informed: News, earnings, and events impact volatility.
BSE:SENSEXEducation
by SkyTradingZone
Part 1 Ride The Big Moves Call and Put Options in Action Call Option Example Reliance is trading at ₹2500. You buy a 1-month call option with strike price ₹2550, premium ₹50, lot size 505. If Reliance rises to ₹2700 → Profit = (2700 - 2550 - 50) × 505 = ₹50,500. If Reliance falls below 2550 → You lose only the premium (₹25,250). Put Option Example Nifty is at 20,000. You buy a 1-month put option, strike 19,800, premium 100, lot size 50. If Nifty falls to 19,200 → Profit = (19,800 - 19,200 - 100) × 50 = ₹25,000. If Nifty rises above 19,800 → You lose premium (₹5,000). Participants in Options Trading Option Buyer – Pays premium, has limited risk and unlimited profit potential. Option Seller (Writer) – Receives premium, has limited profit and potentially unlimited risk. Example: Buyer of call: Unlimited upside, limited loss (premium). Seller of call: Limited profit (premium), unlimited loss if stock rises.
TVC:GOLDEducation
by SkyTradingZone
Part 2 Master Candlestick PatternKey Terms in Options Trading Before diving into strategies, let’s master some core concepts: Underlying Asset: The stock/index/commodity on which the option is based. Strike Price: The price at which the option can be exercised. Expiration Date: The date on which the option contract ends. Premium: The price paid by the option buyer to the seller (writer) for the contract. In-the-Money (ITM): Option has intrinsic value (profitable if exercised). At-the-Money (ATM): Underlying price = Strike price. Out-of-the-Money (OTM): Option has no intrinsic value yet (not profitable to exercise). Lot Size: Options are traded in lots (e.g., Nifty option has a fixed lot of 50 units). Leverage: Options allow control of large positions with smaller capital. How Options Work Options are like insurance. Imagine you own a house worth ₹50 lakh and buy insurance. You pay a small premium so that if the house burns down, you can recover your value. Similarly: A call option is like paying for the right to buy a stock cheaper later. A put option is like insurance against stock prices falling.
NSE:RELIANCEEducation
by SkyTradingZone
Part 1 Master Candlestick PatternIntroduction to Options Trading Options trading is one of the most powerful tools in the financial markets. Unlike traditional stock trading, where you buy or sell shares directly, options allow you to control an asset without owning it outright. This gives traders flexibility, leverage, and a wide range of strategies for both profits and risk management. At its core, an option is a contract that gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a specific price (called the strike price) on or before a certain date (the expiration date). The beauty of options lies in choice: you can profit whether markets are rising, falling, or even staying flat—if you know how to use them. What is an Option? An option is a derivative instrument, meaning its value is derived from the price of another asset (the “underlying”), such as: Stocks (e.g., Reliance, Apple) Indexes (e.g., Nifty, S&P 500) Commodities (e.g., Gold, Oil) Currencies Two Main Types of Options: Call Option – Gives the right to buy the underlying asset. Put Option – Gives the right to sell the underlying asset. Example: A call option on Reliance with a strike price of ₹2500 expiring in one month gives you the right (not the obligation) to buy Reliance shares at ₹2500, regardless of the market price. A put option with a strike of ₹2500 gives you the right to sell at ₹2500.
NSE:COALINDIAEducation
by SkyTradingZone
ITC Projection Here’s a clear explanation of **ITC Limited’s Business Model** 👇 --- ### **ITC Business Model Overview** **1. Diversified Conglomerate Structure** ITC Limited operates as a multi-business conglomerate with presence across **FMCG, Hotels, Paperboards & Packaging, Agri-Business, and IT services**. This diversification reduces risk and ensures multiple revenue streams. --- **2. Major Business Segments** * **FMCG (Fast-Moving Consumer Goods):** * Cigarettes (Flagship business, \~35-40% revenue share) * Branded packaged foods (Aashirvaad, Sunfeast, Bingo, Yippee, B Natural) * Personal care (Fiama, Vivel, Savlon) * Lifestyle retail (Wills Lifestyle, John Players earlier) * Stationery & matches * **Hotels:** * Operates premium, luxury, and business hotels under ITC Hotels, WelcomHotel, Fortune, and Aashray brands. * **Paperboards, Paper & Packaging:** * Integrated manufacturing of eco-friendly paperboards, specialty papers, and packaging solutions. * **Agri-Business:** * E-Choupal digital platform connects directly with farmers for procurement of wheat, soybeans, coffee, etc. * Supplies to domestic and export markets. * **IT Services:** * ITC Infotech offers technology consulting and digital solutions globally. --- **3. Value Creation Strategy** * **Backward Integration:** Own sourcing (agriculture, paper) ensures cost efficiency and quality control. * **Brand Building:** Heavy investment in R\&D, innovation, and strong distribution network. * **Sustainability Focus:** ITC positions itself as carbon-positive, water-positive, and solid-waste recycling positive. * **Synergy Across Businesses:** Agri-business supports FMCG (e.g., sourcing wheat for Aashirvaad), packaging supports branded foods, etc. --- **4. Revenue & Profit Mix** * Cigarettes remain the **largest profit generator**, though FMCG and agri-business are growing rapidly. * Hotels and paperboards provide diversification but contribute less to profit compared to FMCG & cigarettes. --- ✅ **In short:** ITC runs a **multi-vertical business model**, with cigarettes as the cash cow funding expansion into FMCG, hotels, and other sustainable ventures, creating long-term shareholder value. --- thanks
NSE:ITCShort
by TheGoldenFarmsofEquity
BIOCON (Biocon Ltd)- Analysis Bullish Levels -if sustain above 395 (early entry risky) then 427 safe entry if sustain above this for 2 weeks) target can be around 459 then 483 to 492 if sustain above for a week or two then we expect more upside and wait for targets around 605 to 637 then 726 to 759 then 848 to 880 Bearish levels :- if sustain below 354 then bearish 338 swing trade exit below this if sustains for 2-3 days then 297 to 282 then 224 good support with SL of 207 for long term investors below this more bearish. **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:BIOCON
by PrashantTaralkar
Reliance 1 Day View Key Levels (1-Day Time Frame) Based on data from Investing.com and Moneycontrol: Day’s Range: ₹1,407.90 – ₹1,423.40 Recent Daily High (Aug 21): ₹1,431.90 Recent Daily Low (Aug 11): ₹1,361.20 From chart commentary (TradingView): Support Zone: ₹1,385–1,400 Resistance Level: Around ₹1,423–1,431 Interpretation & Notes Intraday activity shows movement between roughly ₹1,408 to ₹1,423. A daily low near ₹1,408 may serve as short-term support; breaking below could test the ₹1,385–1,400 zone. On the upside, a close above ₹1,423–1,431 might open potential to push higher. Remember: technical levels provide guidance, not guarantees—market dynamics and fundamentals can shift price action quickly. Always cross-check with live charts and broader analysis.
NSE:RELIANCELong
by TechnicalExpress