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Candle Patterns Knowledge Candlestick patterns zoom in and show you immediate price behavior — the battle happening inside intraday or single-session price movement. Candles reveal: 1. Momentum 2. Rejection 3. Strength of buyers/sellers 4. Trend continuation or reversal 5. Low-risk entries and exits COMMON MISTAKES TO AVOID Trading every pattern without context Ignoring volume confirmation Not waiting for candle close Using patterns in low-liquidity markets Overtrading inside small timeframes Neglecting market trend Placing stop losses too tight
NSE:NIFTYEducation
by TechnicalExpress
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ONGC 1 Day Time Frame 📌 Live Price Snapshot (Latest Available) Current Price (approx): ₹244 – ₹248 range on NSE today (near ₹248) Day Low / Day High (intraday): ~₹244 / ₹251 Price may vary slightly based on live market data at the moment. 📊 Daily Pivot‑Based Levels (for Today’s Price Action) Daily Pivot / Reference Point (based on previous session) Pivot (PP): ~₹245.36 Daily Resistances (Upside Levels) R1: ₹248.00 R2: ₹250.13 R3: ₹252.77 Daily Supports (Downside Levels) S1: ₹243.23 S2: ₹240.59 S3: ₹238.46 Note: These pivot levels are classic calculations from the previous session’s high/low/close — standard for daily timeframe traders. 📌 How to Use These Levels (Daily TF) Above Pivot (PP ≈ ₹245‑₹246): suggests intraday bullish bias, with first upside target near R1/R2. Below Pivot: downside pressure may extend toward S1/S2. Break of R2 (~₹250) / S2 (~₹240): often signals stronger directional continuation for the session.
NSE:ONGCLong
by Knowledgehub
HCC 1 Week Time Frame 📍 Live Price Snapshot Approx current price: ~₹18.7–₹19.0 (latest live levels) 📊 1‑Week Technical Levels (Pivot Based) These levels are useful for short‑term trades this week: 🔹 Weekly Pivot & Resistance Pivot Point: ₹18.79 (base zone) R1 (First Resistance): ~₹19.09 R2: ~₹19.56 R3: ~₹19.86 👉 Bullish view: Sustained trade above R1 ~₹19.1–₹19.3 may signal short‑term upside continuation towards R2/R3. 🔻 Weekly Support Levels S1: ~₹18.32 S2: ~₹18.02 S3: ~₹17.55 👉 Bearish view: A break below S2 ~₹18.0 can open risk toward S3 ~₹17.5. 📌 Short‑Term Trend Indicators RSI (~neutral): ~46–56 — showing neither strong buy nor oversold pressure currently. Moving Averages: Price is near short‑term moving averages, but all major mid‑term EMAs/SMAs are above price indicating a bearish bias in broader trend. Summary of Technical Bias: Bullish above pivot/R1 (~₹18.8–19.1): Could test R2 ~₹19.5 and R3 ~₹19.8+. Neutral range: Between ₹18.3–₹19.1. Bearish below S1/S2 (~₹18.3/₹18.0): Potential move down toward ₹17.5 support. 🧠 Weekly Outlook (Quick Interpret) ✔ Immediate resistance range: ₹19.1–₹19.8 ✔ Immediate support range: ₹18.0–₹18.5 ✔ Trend context: Short‑term consolidation with a slight bearish edge on broader SMAs; buy setup improves only on clear weekly strength above the pivot/resistance zone.
NSE:HCCLong
by Knowledgehub
BSE 1 Week View📊 Current approximate price: around ₹2,800–₹2,830 on NSE at latest close. 📈 Weekly Time-Frame Key Levels 🔥 Resistance Levels (Upside Zones) Immediate weekly resistance: ~₹2,700–₹2,710 — first hurdle above current price on weekly candles. Next resistance: ~₹2,750–₹2,800 zone — if weekly closes above ₹2,700 area, bulls target this. Higher breakout area: ~₹2,850–₹2,900 — next range of selling interest above the prior highs. 💡 So weekly up move usually needs a weekly candle close above ~₹2,700–₹2,710 to extend gains. 📉 Support Levels (Downside Zones) First support: ~₹2,620–₹2,630 — short-term weekly support zone. Lower support: ~₹2,490 — next zone if price loses the above support. Strong support / base area: ~₹2,380–₹2,340 — deeper weekly support below ~₹2,490. ➡️ If price closes below ~₹2,620 on weekly, risk increases toward ₹2,490 and ₹2,380 supports. 📊 Weekly Trading Interpretation Bullish Case (if Weekly Holds/Closes Above): Above ₹2,700–₹2,710 weekly → potential squeeze toward ₹2,750–₹2,800 then ₹2,850–₹2,900+. Bearish Case (if Weekly Breaks Below): Weekly close below ₹2,620 opens downside toward ₹2,490 then ₹2,380–₹2,340. Neutral/Range: Between ₹2,620 – ₹2,700, expect choppy sideways movement.
NSE:BSELong
by TechnicalExpress
Divergence Secrets Multi-Leg Strategies 1. Bull Call Spread Buy lower strike call + Sell higher strike call Use when moderately bullish. 2. Bear Put Spread Buy higher strike put + Sell lower strike put Use when moderately bearish. 3. Iron Condor Sell OTM call + Sell OTM put (Hedge using further OTM) Use when expecting market to remain sideways. 4. Straddle Buy ATM call + ATM put Expect big movement (up or down). 5. Strangle Buy OTM call + OTM put Expect high volatility. 6. Covered Call Hold stock + Sell call Generate income. 7. Protective Put Hold stock + Buy put Protect portfolio.
CRYPTO:ETHUSDEducation
by SkyTradingZone
Part 12 Trading Master Class With Experts Option trading is one of the most dynamic and flexible forms of trading in the financial markets. Unlike conventional stock trading, where investors buy or sell shares of a company, options offer the right, but not the obligation, to buy or sell an underlying asset at a predetermined price within a specific time frame. This feature makes options a powerful tool for hedging, speculation, and income generation. At its core, an option is a contract between two parties: the buyer and the seller. The buyer pays a premium for the right to exercise the option, while the seller assumes the obligation to fulfill the contract if the buyer chooses to exercise it. Options are classified mainly into two types: call options and put options. Call Options: Give the holder the right to buy the underlying asset at a predetermined price, called the strike price, before or on the option’s expiration date. Investors purchase call options when they anticipate the underlying asset’s price will rise. Put Options: Give the holder the right to sell the underlying asset at the strike price within a specific period. Put options are typically bought when traders expect the asset’s price to fall.
TVC:USOILEducation
by SkyTradingZone
TORNTPOWER 1 Day Time Frame 📊 Current / Recent Price • Around ₹1,345 – ₹1,350 (recent close / market price) as per latest exchange data. 🔹 Daily Pivot Levels These are widely used intraday reference levels calculated from previous price action: Pivot (central) — ~₹1,336.8 R1 (first resistance) — ~₹1,369 – ₹1,370 R2 (second resistance) — ~₹1,387 – ₹1,395 R3 (third resistance) — ~₹1,419 – ₹1,452 🔸 Support Levels S1 (first support) — ~₹1,318 – ₹1,329 S2 (second support) — ~₹1,307 – ₹1,313 S3 (third support) — ~₹1,279 – ₹1,301 📈 Interpretation (Daily Time Frame) • Above Pivot (~₹1,337) → bullish bias for the day; resistance targets around ₹1,370–₹1,395+. • Below Pivot → bearish bias; downside support levels near ₹1,318, then ₹1,307–₹1,301. • Strong breakout above ₹1,395–₹1,419 would open room toward higher resistance clusters. • Key near-term support that protects the downside sits around ₹1,307–₹1,279.
NSE:TORNTPOWERLong
by Knowledgehub
The Framework That Protects Markets and InvestorsTrading Regulations: Trading regulations form the backbone of modern financial markets. They define how markets operate, who can participate, what instruments can be traded, and how risks are managed. Without regulation, markets would be vulnerable to manipulation, fraud, excessive speculation, and systemic crises. Over time, governments and regulatory bodies across the world have developed comprehensive trading regulations to ensure transparency, fairness, stability, and investor protection. Understanding trading regulations is essential for traders, investors, brokers, and institutions because compliance is not optional—it is fundamental to sustainable participation in financial markets. Meaning and Purpose of Trading Regulations Trading regulations are a set of rules, laws, and guidelines established by regulatory authorities to govern the buying and selling of financial instruments such as stocks, bonds, derivatives, commodities, and currencies. The primary purpose of these regulations is to maintain orderly markets, protect investors from unfair practices, reduce systemic risk, and promote confidence in the financial system. Markets thrive on trust. When participants believe that prices are fair, information is transparent, and misconduct is punished, they are more willing to invest capital. Trading regulations aim to create this trust by enforcing disclosure standards, monitoring trading activity, and penalizing illegal behavior like insider trading or market manipulation. Key Regulatory Authorities Across the World Every country has one or more regulatory bodies responsible for overseeing financial markets. In India, the Securities and Exchange Board of India (SEBI) regulates equity, derivatives, and mutual fund markets, while the Reserve Bank of India (RBI) oversees currency markets and banking-related trading. In the United States, agencies like the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) regulate securities and derivatives markets. Globally, organizations such as the Financial Stability Board (FSB) and the International Organization of Securities Commissions (IOSCO) help coordinate regulatory standards. Although the structure differs across countries, the objectives of these regulators are broadly similar: investor protection, market integrity, and financial stability. Core Principles of Trading Regulation Most trading regulations are built on a few fundamental principles. Transparency is one of the most important. Companies must disclose accurate financial information, material events, and risks so that investors can make informed decisions. Fairness ensures that no participant has an unfair advantage due to access to non-public information or manipulative practices. Accountability holds intermediaries such as brokers, exchanges, and clearing corporations responsible for their actions. Finally, risk control mechanisms aim to prevent excessive leverage, speculative bubbles, and cascading failures. These principles are reflected in rules related to disclosures, reporting requirements, position limits, margin norms, and surveillance systems. Regulation of Market Participants Trading regulations define who can participate in the markets and under what conditions. Retail investors, institutional investors, foreign investors, brokers, dealers, and market makers all fall under specific regulatory frameworks. Brokers and intermediaries must obtain licenses, meet capital adequacy norms, follow client protection rules, and adhere to strict compliance standards. Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations are critical components. They require intermediaries to verify the identity of clients and monitor transactions to prevent illegal activities such as money laundering or terrorist financing. These rules not only protect the financial system but also enhance global cooperation among regulators. Regulation of Trading Instruments Different financial instruments are regulated differently based on their risk profile and complexity. Equity trading focuses heavily on disclosure, corporate governance, and insider trading prevention. Derivatives trading, such as futures and options, involves additional rules on margin requirements, position limits, and settlement mechanisms due to higher leverage and risk. Commodity markets are regulated to prevent hoarding, price manipulation, and excessive speculation that could distort real-world supply and demand. Currency and forex trading is often more tightly controlled, especially in emerging economies, to protect macroeconomic stability and manage capital flows. Market Surveillance and Enforcement An essential part of trading regulation is continuous market surveillance. Exchanges and regulators use advanced technology to monitor trading patterns, detect unusual price movements, and identify suspicious activities. Algorithms flag potential cases of insider trading, front-running, spoofing, and circular trading. When violations occur, regulators have the power to investigate, impose penalties, suspend trading accounts, cancel licenses, and even initiate criminal proceedings. Strong enforcement acts as a deterrent and reinforces market discipline. Investor Protection Measures Investor protection is at the heart of trading regulation. Regulations mandate segregation of client funds, ensuring that brokers do not misuse investor money. Compensation funds and investor protection funds are established to safeguard investors in case of broker default. Risk disclosure documents, suitability requirements, and product labeling are also important tools. They ensure that investors understand the risks involved before trading complex products such as derivatives or leveraged instruments. In many jurisdictions, regulators actively promote financial literacy to help investors make informed decisions. Risk Management and Systemic Stability Trading regulations play a vital role in controlling systemic risk—the risk that failure in one part of the financial system could trigger widespread instability. Margin requirements, daily mark-to-market settlements, circuit breakers, and position limits are designed to contain losses and prevent panic. Circuit breakers, for example, temporarily halt trading during extreme market volatility, allowing participants time to absorb information and prevent irrational selling or buying. Clearing corporations and central counterparties reduce counterparty risk by guaranteeing settlements. Challenges in Modern Trading Regulation With the rise of algorithmic trading, high-frequency trading, cryptocurrencies, and global interconnected markets, regulators face new challenges. Technology has increased market speed and complexity, making surveillance more difficult. Cross-border trading requires cooperation among regulators with different legal systems and priorities. Balancing innovation with regulation is another challenge. Over-regulation can stifle market growth and innovation, while under-regulation can lead to instability and crises. Regulators continuously adapt rules to address emerging risks without harming market efficiency. Conclusion Trading regulations are essential for the healthy functioning of financial markets. They provide a structured environment where participants can trade with confidence, knowing that rules are in place to ensure fairness, transparency, and stability. While regulations may sometimes seem restrictive, they ultimately serve a protective purpose—safeguarding investors, maintaining market integrity, and preventing systemic crises. For traders and investors, understanding trading regulations is not just about compliance; it is about making smarter, safer, and more sustainable decisions. As markets evolve, trading regulations will continue to adapt, shaping the future of global finance and ensuring that growth is built on trust and discipline rather than speculation and chaos.
NSE:BANKBARODAEducation
by TechnicalExpress
BAJAJ-AUTO 1 Day Time Frame 📊 Live Price Snapshot (Daily Time Frame) Bajaj Auto Ltd (BAJAJ-AUTO) 📍 Current price: ₹9,579.50 (latest NSE price) 📍 Today’s Intraday Range: Low: ₹9,494 High: ₹9,610 📈 Daily Pivot & Key Levels Pivot / Reference Level Pivot Point: ~₹9,487 ✨ 🔼 Immediate Resistance Levels (Upside) 1. R1: ~₹9,655 2. R2: ~₹9,750 3. R3: ~₹9,922 – higher resistance zone 👉 Holding above these on the daily chart suggests bullish intraday momentum. 🔽 Immediate Support Levels (Downside) 1. S1: ~₹9,389 2. S2: ~₹9,220 3. S3: ~₹9,122 – deeper support zone 👉 If price drops below these, bearish pressure may increase intraday. 📌 Short Interpretation (1-Day View) Bullish view: ✔ If price stays above the pivot (~₹9,487) and breaks R1/R2, momentum can extend toward R3 (~₹9,920+). Bearish view: ✖ If price breaks below S1 (~₹9,389) and then S2 (~₹9,220), downside may test S3 (~₹9,122).
NSE:BAJAJ_AUTOLong
by Knowledgehub
CCL 1 Day Time Frame 📊 Daily Pivot & Levels (most recent) Pivot Point: ~₹931 – ₹931.5 Resistance Levels: • R1: ~₹958 – ₹959 • R2: ~₹975 – ₹976 • R3: ~₹1,000 – ₹1,003 Support Levels: • S1: ~₹915 – ₹915 • S2: ~₹887 – ₹887 • S3: ~₹871 – ₹871 These pivot levels are calculated from typical daily price action and help indicate intraday sentiment — above pivot shows bullish bias and below pivot shows bearish bias. 📉 Alternate Daily Support/Resistance (classic pivot) From other daily pivot models: S1: ~₹920 • S2: ~₹912 • S3: ~₹902 R1: ~₹930 • R2: ~₹940 • R3: ~₹949 – ₹958 (This set is slightly tighter and useful if price action stays rangebound.) 📌 Moving Average Context (Daily) Current daily price is around ₹920–₹940 range with most short-term moving averages above price, indicating near-term resistance overhead: • 20-day SMA: ~₹956 • 50-day SMA: ~₹974 • 100-day SMA: ~₹925 • 200-day SMA: ~₹848 These moving averages can act as dynamic support/resistance — especially the 20/50 day averages if price attempts breakout. 📝 How Traders Use These Levels Bullish view: Above pivot (~₹931) with target at R1/R2 zones (~₹958 / ₹975). Bearish view: Break below S1 (~₹915) with targets toward S2/S3 (~₹887–₹871). Range trades: Buying near support and trimming near resistance if volume remains low.
NSE:CCLLong
by Knowledgehub
Event Trading Hacks: Maximize Your Profits TodayEvent trading is one of the most powerful short-term trading approaches in financial markets. Unlike long-term investing, which relies on fundamentals playing out over years, event trading focuses on specific, time-bound events that can cause sharp price movements in stocks, indices, commodities, or currencies. When executed with discipline and strategy, event trading can generate significant profits in a relatively short period. However, it also carries high risk, making smart “hacks” and structured planning essential. Below is a detailed, practical guide to event trading hacks that can help you maximize profits while managing risk effectively. 1. Understand What Truly Moves the Market The first hack of event trading is knowing which events actually matter. Not every news headline leads to profitable opportunities. Focus on high-impact events, such as: Corporate earnings announcements Mergers and acquisitions Government policy changes and budgets Central bank interest rate decisions Inflation, GDP, and employment data Geopolitical events and global crises Markets move not just on the event itself, but on the difference between expectations and reality. If results match expectations, prices may barely move. Big profits come when outcomes surprise the market. 2. Trade Expectations, Not Just the Outcome A common beginner mistake is trading after the news breaks. Professional event traders often position themselves before the event, based on market expectations. Key expectation indicators include: Analyst forecasts Market consensus estimates Options implied volatility Price action leading into the event If a stock has already rallied strongly before earnings, good results may be “priced in.” The real hack is identifying when expectations are too optimistic or too pessimistic and positioning accordingly. 3. Use Volatility as Your Ally Events create volatility, and volatility is opportunity. One of the smartest event trading hacks is trading volatility instead of direction, especially using derivatives. Examples: Straddles and strangles to profit from big moves in either direction Calendar spreads when volatility is mispriced Volatility crush strategies after earnings Rather than guessing whether the market will go up or down, you trade how much it will move. This reduces directional bias and improves consistency. 4. Time Your Entry with Precision Timing is critical in event trading. Entering too early exposes you to unnecessary risk; entering too late means missing the move. Smart timing hacks include: Entering positions after consolidation before an event Watching volume spikes indicating smart money activity Using support and resistance levels for precise entry Avoid impulsive trades just before the announcement unless your strategy is specifically designed for it. 5. Always Define Risk Before Reward Event trading can wipe out capital if risk is unmanaged. The most important hack is capital protection first, profit second. Risk management rules: Never risk more than 1–2% of capital per trade Use predefined stop-loss levels Avoid oversized positions during high volatility Hedge positions when possible Professionals survive because they focus on staying in the game, not on one big trade. 6. Focus on Liquidity, Not Just News High-impact events in illiquid stocks can lead to erratic price movements and slippage. One key hack is trading liquid instruments, such as: Large-cap stocks Index futures and options Highly traded commodities and currencies Liquidity ensures better execution, tighter spreads, and reliable price behavior during volatile moments. 7. Master Post-Event Trading Opportunities Many traders believe the opportunity ends once the event is over. In reality, post-event trades often offer cleaner setups. Post-event hacks include: Trading pullbacks after strong breakout reactions Entering trend continuation trades after clarity emerges Exploiting overreactions caused by panic buying or selling Markets often take time to digest information, creating secondary opportunities with lower risk. 8. Separate Emotion from Execution Events trigger emotions—fear, greed, excitement—which lead to impulsive decisions. One of the most underrated hacks is strict emotional control. Best practices: Follow a written trading plan Avoid revenge trading after losses Accept that missing a trade is better than forcing one Review trades objectively, not emotionally Consistency beats excitement in event trading. 9. Track Historical Event Behavior Markets have memory. Certain stocks, sectors, or indices react similarly to recurring events. For example: Some stocks consistently rise before earnings and fall after Certain sectors react strongly to interest rate changes Commodities follow seasonal patterns around reports Studying historical event reactions gives you a statistical edge and improves decision-making. 10. Combine Technicals with Fundamentals The best event trading setups come from confluence—when fundamentals and technicals align. Examples: Strong earnings expected + bullish chart breakout Weak macro data expected + breakdown below key support Policy change rumor + volume expansion This alignment increases probability and improves risk-to-reward ratios. 11. Avoid Overtrading Events Not every event is worth trading. One of the smartest hacks is selectivity. Professional traders: Trade only high-conviction events Skip unclear or low-impact announcements Wait patiently for ideal setups Quality over quantity is the foundation of long-term success. 12. Build a Repeatable Event Trading Framework Consistency comes from structure. Your event trading framework should include: Event selection criteria Entry and exit rules Position sizing formula Risk management guidelines Post-trade review process This turns event trading from gambling into a professional system. Conclusion Event trading offers exceptional profit potential because markets move fastest when information changes. However, speed without strategy leads to losses. The real edge lies in preparation, expectation analysis, volatility management, and disciplined execution. By applying these event trading hacks—understanding market psychology, managing risk, trading volatility, and staying emotionally neutral—you can significantly improve your odds of success. Remember, event trading is not about predicting the future perfectly; it’s about positioning intelligently when opportunity and probability align.
NSE:BHELEducation
by TechnicalExpress
CSBBANK 1 Month Time Frame 📌 Last Closing / Recent Price (delayed data) • Around ₹505–₹520 range recently, showing strong short‑term price action. 🔍 Short‑Term (1‑Month) Key Levels 📈 Resistance Levels These are levels where price may face selling pressure in short‑term moves: R1: ~₹514–₹518 – first resistance zone. R2: ~₹530–₹532 – next broader resistance if rally continues. R3: ~₹543–₹557 – higher resistance area in 1‑month horizon. Tactical View: Break above ~₹532–₹543 could signal continuation to higher short‑term highs. 📉 Support Levels These are areas where dips may find buyers near: S1: ~₹495–₹496 – first nearby support. S2: ~₹484–₹485 – deeper support if dip extends. S3: ~₹456–₹480 – broader support cluster if stronger correction. Tactical View: A break below ~₹484–₹480 risks deeper consolidation. 🔄 Pivot Zone Used by traders as dynamic center for short‑term bias: Pivot: ~₹501–₹502 area — key reference for session trend. Above pivot = bullish bias; below pivot = cautious/neutral in short horizon. 📊 Moving Averages (short‑term context) Helpful for trend confirmation: 20‑day EMA/SMA: ~₹463–₹446 area — below current price => bullish trend. 50‑day SMA: ~₹433 — deeper trend support. Current price is above these averages → trend remains bullish on 1‑month basis. 📈 Short‑Term Trade Bias (1‑month) Bullish Scenario: If price holds above pivot ~₹501–₹505 and support ~₹495, upside may test ₹518 → ₹532 → ₹543+. Bearish Scenario (correction): If price falls below ₹495 → ₹484, watch deeper support ₹474–₹456.
NSE:CSBBANKLong
by Knowledgehub
IEX 1 Month View 📊 Current Price Context (Recent 1-Month) • Latest available quote (as of Jan 9, 2026 close): ~₹138 – ₹140. 📈 1-Month Technical Levels (Short-Term) Key Resistance Levels (Upside) These are levels where price may face selling pressure: ₹144 – ₹145 — Immediate resistance zone near recent moving average / pivot cluster. ₹147 – ₹150 — Secondary resistance around recent swing highs. ₹150 + — Broader psychological resistance zone; breakout above this could signal short-term bullish shift. 📉 Key Support Levels (Downside) These are levels where buyers may step in: ₹138 – ₹139 — Immediate support aligned with recent lows. ₹135 – ₹136 — Next short-term support on pullbacks. ₹132 – ₹133 — Deeper support area reflecting recent range lows. ~₹130 — Longer buffer support zone seen in broader weekly context. 📊 Moving Averages & Technical Indicators From the most recent technical snapshot (2 days ago): Short-term moving averages (5/10/20/50 SMA & EMA): Bearish bias — price below most averages. RSI ~47-51: Neutral zone, not strongly overbought or oversold. MACD slightly bullish signal but trend weak. 👉 This setup suggests range-bound movement in the near term unless a breakout/ breakdown occurs. ⚠️ Important Context The stock has recently been volatile due to regulatory news (market coupling debates) affecting sentiment and price action. This has led to wide swings and lower structural confidence in trend direction.
NSE:IEXLong
by TechnicalExpress
SHAKTIPUMP 1 Day Time Frame 📌 Current Daily Pivot & Price Levels (1D Timeframe) 🔁 Pivot Reference Daily Pivot: ~₹716.9 (central reference for intraday sentiment) 📈 Resistance Levels (Upside) 1. R1: ~₹727.8 – first resistance zone on the daily frame 2. R2: ~₹745.5 – next resistance above recent reaction highs 3. R3: ~₹756.4 – extended resistance zone for bullish continuation Key Points: Breaking above R2 ~₹745–₹756 with good volume suggests strength and continuation. Above ₹756, focus shifts to higher intra‑week levels. 📉 Support Levels (Downside) 1. S1: ~₹699.2 – immediate support area (near last session lows) 2. S2: ~₹688.3 – deeper support zone on daily correction 3. S3: ~₹670.6 – broader lower support and psychological floor for daily timeframe Key Points: Holding S1 ~₹699 on a daily close suggests range stability. A break below S2 ~₹688 may confirm short‑term bearish momentum. 🧠 How to Use These Levels (1D) Bullish view (trend reversal): Daily close above ₹745–₹756 opens focus to higher resistance and possible recovery. Neutral / Range trading: Trade within ₹699–₹756 zone with intraday confirmations. Bearish view (downside continuation): Break & close below ₹688 suggests deeper correction toward ₹670 or lower.
NSE:SHAKTIPUMPLong
by Knowledgehub
Part 12 Trading Master Class With ExpertsKey Terms Every Option Trader Must Know Understanding certain terms is crucial before moving forward. 2.1 Strike Price This is the pre-defined price at which the buyer can buy (call) or sell (put) the underlying asset. 2.2 Expiry Date Options have a limited life. They expire weekly or monthly. For example: Nifty & Bank Nifty: weekly + monthly expiry Stocks: monthly expiry After expiry, options lose all their time value. 2.3 Premium This is the price you pay to buy an option. Think of it like a fee for having the right. Option buyers pay the premium; option sellers receive it. 2.4 Intrinsic Value The real value of the option if it were exercised right now. 2.5 Time Value The additional value based on time left until expiry. More time = higher premium. 2.6 ITM, ATM & OTM ITM – In the Money: has intrinsic value ATM – At the Money: near underlying price OTM – Out of the Money: no intrinsic value Example for Nifty at 22,000: Call 21,800 = ITM Call 22,000 = ATM Call 22,300 = OTM
NSE:NIFTYEducation
by SkyTradingZone
HAL 1 Week Time Frame 📈 Current Price Snapshot (Live / Latest) HAL price: ~₹4,460 – ₹4,480 per share (India NSE) — trading range today. 1-week return: ~slightly negative/neutral movement. 🔎 Short-Term Technical Levels (1-Week Time Frame) 📍 Immediate Resistance Levels ✔️ R1: ~₹4,550 – ₹4,555 — first resistance zone where price may stall. ✔️ R2: ~₹4,620 – ₹4,625 — medium hurdle, key for bullish continuation. ✔️ R3: ~₹4,950 – ₹5,000 — strong supply area (major breakout zone). 📉 Support Levels ✔️ S1: ~₹4,430 – ₹4,440 — nearest support (intraday / short-term). ✔️ S2: ~₹4,390 – ₹4,395 — secondary support if price dips further. ✔️ S3: ~₹4,320 – ₹4,330 — deeper support for stronger pullbacks. 🧠 How to Use These Levels This Week 📊 Bullish scenario: If HAL sustains above ₹4,550 with good volume, next upside test ~₹4,620 and potentially ₹4,950–₹5,000. 📉 Bearish scenario: Break below ₹4,430 can trigger short-term weakness toward ₹4,390 first, then deeper near ₹4,320. ⚖️ Neutral / Range: Price can consolidate within ₹4,430 – ₹4,550 this week if broader market lacks a trend catalyst. 📌 What the Indicators Suggest (Technical Mix) Current momentum is mixed-neutral, not strongly trending up or down. RSI/MACD readings indicate sideways bias in very short term.
NSE:HAL
by TechnicalExpress