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Harmonic Patterns

HCC 1 Day Time Frame📊 HCC — Key 1‑Day Levels Based on the latest technical summary: Level Value (₹) Significance Opening Price (today) ~ ₹25.48 Start‑of‑day reference Day’s Low ~ ₹25.30 Intra‑day support floor Day’s High ~ ₹26.40‑₹26.47 Intraday resistance ceiling Classic Pivot Point (1‑day) ~ ₹25.59 Mid‑point; price above = bullish bias, below = bearish tilt Support (S1) ~ ₹24.73 Key zone if price drops — potential bounce area Resistance (R1) ~ ₹27.17 If price rallies, watch this zone for near‑term selling pressure
NSE:HCCLong
by Knowledgehub
KPIGREEN 1 Day Time Frame 📈 Current Snapshot (as per latest available sources) Several platforms list the share price around ₹ 429.9 – ₹ 431.4 on NSE in recent sessions. The 52‑week range for KPI Green remains roughly ₹ 313.40 (low) to ₹ 588.80 (high). On a recent day, typical intraday swings showed lows around ₹ 430‑431 and highs near ₹ 437‑438, indicating a moderate intraday move. 🧮 What This “Level” Suggests Today The current price (~₹ 430–431) places the stock substantially above the 52‑week low, but significantly below the 52‑week high — suggesting the stock is in a lower‑to‑mid zone of its yearly range. Intraday volatility seems modest; the share hasn’t shown large spikes today, indicating relatively stable trading so far. This could imply either consolidation or market caution — not a strong upward breakout, but also not near floor levels.
NSE:KPIGREENLong
by Knowledgehub
WIPRO 1 Day Time Frame 📊 Quick Snapshot Last traded price: ~ ₹255-256 52-week range: Low ~ ₹228, High ~ ₹324–325 Recent volatility: stock has been trading in a range near ₹250–256 over past few sessions. 📈 What to Watch for the Day If price holds above ~₹255 and gains strength, Wipro may attempt a move toward ₹265-270 — a reasonable intraday target. If price drops below ~₹250, downside pressure could take it to ~₹245–248, or even retest ~₹242-240 if broader markets weaken. Keep an eye on volume: higher-than-average volume on breakout or breakdown often validates the move.
NSE:WIPROLong
by Knowledgehub
VIEW ON ASHOKA BUILDCON BY KRS CHARTSDate - 21st August 2025 / 10:35 AM Why ASHOKA ? 1. All-time Bullish Stock technically making HHs & HLs. 2. Further, Price is already in Fibbo Golden Reversal Zone for quite a few times and showing bullish traits again. 3. I was eagerly waiting for to retrace down little bit for 1D previous gap-up needed to be filled it & it's Done! 4. 1D it is showing Morning Star Candle sticks Cluster s with more green Candles and this week likely to be closing with bullish candle stick. 5. Wave Theory wise we are in 4th Wave last upside 5th is loading. All in All, this is good level to look ASHOKA as a good opportunity 👍✅ Targets and SL are Marked in Chart.
NSE:ASHOKALong
by KRSCharts
Doubtful Environment Ahead — Trade Only What the Market ConfirmsToday I followed what we planned in yesterday's commentary and sold NSE:NIFTY on the rise. While many “gurus” on social media say there are no opportunities in the market, the truth is simple — opportunities always exist if you look in the right direction. Now let’s talk about today’s market behaviour, which was quite unusual. - Nifty fell on the chart, but buyers’ volume increased at the end of the day. - The Macro Index also dropped. - Market health shifted from Green to Orange. - Collective volume decreased. - And price is currently neither at support nor at resistance. Together, these points indicate that the market is in a doubtful and unclear environment. For me, trading means protecting what I earned today and not losing it tomorrow. So whenever I am in doubt, I stay out. It is that simple for me. Tomorrow looks like one of those days. Since Nifty is stuck between support and resistance, I will plan my trades live during market hours. I’m prepared for both directions. My primary idea is still Sell-on-Rise. However, because buyers’ volume was strong today, I will not hesitate to go long if the index bounces from support. I think tomorrow would be the day where I catch both side swing. Support for me is around 25970. Resistance is at 26110, where I will look for rejection to sell. Pivot is now 26061 and the Pivot Percentile is tight, which means liquidity will be good tomorrow. That's what I have as of now. Take care. Have a profitable tomorrow.
NSE:NIFTYShort
by Trendxinc
XAUUSD/GOLD 1H BUY PROJECTION 02.12.25“Gold is currently reacting strongly from the premium weekly support zone. A clear bullish engulfing candle has formed at the bottom, indicating strong buying pressure.” Next: Price was moving inside a parallel downtrend channel, but The bearish structure has now broken, confirming a potential trend reversal. The market has also broken the trendline, showing strong momentum from buyers. After breaking the trendline, price is expected to: Retest the break level (support turning from resistance). Continue bullish towards Resistance R1 around 4228–4232. If momentum holds, the move may extend towards Resistance R2 at 4255–4260. This structure aligns with a clean liquidity grab, followed by trend reversal and bullish continuation. 🎯 Key Points (Easy to Explain on YouTube) ✅ Premium Weekly Support Zone Hit – strong reversal area ✅ Bullish Engulfing Formed – confirmation of buyer strength ✅ Downtrend Channel Broken – trend reversal confirmation ✅ Expecting Retest → Buy Continuation 🎯 Target 1: Resistance R1 (4230 level) 🎯 Target 2: Resistance R2 (4260 level) ⛔ Stop Loss: Below Weekly Support Zone (around 4185) 📌 Summary for Your Video / Telegram Post “Gold is showing a strong bullish reversal from the premium weekly support zone. A bullish engulfing followed by a clean trendline break confirms a potential buy setup. As long as price holds above the retest zone, we expect upside targets towards 4230 and 4260.” If you want, I can also prepare: ✔ YouTube Title + Description ✔ Thumbnail text (big bold letters) ✔ Short-form script (30–45 sec) ✔ Hashtags ✔ PDF or PNG formatted analysis Just tell me “make title, description & thumbnail” and I’ll generate it.
OANDA:XAUUSDLong
by kripsonfx97
Part 12 Trading Master ClassKey Tips for Beginners 1. Start with Defined-Risk Strategies Vertical spreads (bull call, bear put) Covered calls Iron condors These limit losses and prevent account blow-ups. 2. Avoid Selling Naked Options Beginners should fully avoid selling naked calls/puts because: Risk can be unlimited Sharp market movements can cause huge losses 3. Understand Option Greeks You don’t need to master all, but focus on: Delta → Direction strength Theta → Time decay Vega → Impact of volatility 4. Use Proper Position Sizing Never use more than: 2–5% of capital on a single trade 10% total exposure to naked buying (calls/puts) 5. Back-test and Paper Trade Before risking real money: Test strategies on historical charts Use virtual trading platforms Study how premiums behave near expiry 6. Trade with Market Structure + Volume Profile Since you’re already learning volume profile, combine it with options: Identify liquidity zones Sell options at premium zones Buy options near support/resistance breaks
NSE:ICICIBANKEducation
by SkyTradingZone
Part 11 Trading Master ClassIron Condor – Best for Sideways Markets Perfect for low-volatility environments where price stays in a range. How it works You create: A bull put spread (below market) A bear call spread (above market) You earn net premium from both sides. When to use Markets are consolidating. You expect low volatility and no big moves. Risk and reward Risk: Limited, predefined. Reward: Limited to net premium collected. Example Nifty trading at 22,000 Sell 21,800 PE – Buy 21,700 PE Sell 22,200 CE – Buy 22,300 CE You collect total premium and profit if Nifty stays between 21,800–22,200.
NSE:JINDALSTELEducation
by SkyTradingZone
How Derivatives Hedge RiskWhat Are Derivatives? A derivative is a financial contract whose value is based on an underlying asset such as: Stocks Bonds Indices Commodities (oil, gold, wheat, etc.) Currencies Interest rates Crypto assets Common types of derivatives used for hedging include: Futures Options Forwards Swaps Each of these tools functions differently, but all help manage risk. Why Hedging Matters Risk in financial markets comes from many sources: Price volatility Uncertain interest rates Currency fluctuation Commodity cost changes Market crashes Global geopolitical shocks Weather-driven agricultural risks Economic cycles If a company or investor does nothing about these uncertainties, they are exposed to losses that could have been prevented. Hedging creates a protective barrier. For example: An airline fears rising crude oil prices. An exporter fears the Indian rupee becoming stronger against the dollar. A stock investor fears a market correction. A manufacturer fears steel input cost rising. All these risks can be hedged using derivatives. How Derivatives Hedge Risk — The Core Logic Hedging works on one simple principle: A loss in the cash market should be offset by a gain in the derivative market. The purpose is not to generate extra profit but to protect against loss. Let’s understand this with the major derivative types. 1. Futures Contracts – Locking Prices for Certainty A future is an exchange-traded contract that locks an asset price today for a future date. How futures hedge risk: If you fear that the price of an asset will move against you, you take an opposite position in futures. Example – Hedging against rising prices A wheat processor fears wheat prices may rise. He buys wheat futures today. If spot prices rise later: He pays more in the physical market. But his futures position makes a profit. The profit offsets the extra cost—risk hedged. Example – Hedging against falling prices A farmer fears wheat prices may fall. He sells wheat futures today. If spot prices drop: He gets less money for selling wheat physically. But he gains on the short futures. Again, loss in one place is covered by gain in the other. Futures are powerful hedging tools for: Commodity producers Commodity consumers Stockholders Index investors Currency-dependent businesses Interest-rate-sensitive institutions They bring price certainty and remove uncertainty. 2. Options – Insurance Against Adverse Movements An option is a contract that gives the buyer the right—but not the obligation—to buy or sell an asset at a fixed price. There are two types: Call option – Right to buy Put option – Right to sell Options are the best hedging tool because they provide protection while allowing participation in favourable moves. Hedging with Put Options (Downside Protection) Buying a put is similar to buying insurance. A stock investor buys a put option at a strike price. If the stock falls heavily: Loss in the stock is offset by gain in the put option. If the stock rises: He loses only the premium, but still enjoys the upside. This is called a protective put. Hedging with Call Options (Upside Protection for Short Sellers) If someone has sold a stock or commodity and fears that prices may rise, they buy a call option as insurance. If prices rise: The call increases in value. Loss in the short position is reduced or offset. Why options are preferred for hedging: You control risk with limited premium. You keep unlimited favourable movement. They work like financial insurance policies. 3. Forward Contracts – Customized Hedging A forward contract is like a future but traded privately (OTC), not on an exchange. They are customized based on: Quantity Price Duration Delivery terms Hedging With Forwards – Example An Indian exporter expecting $1 million in three months fears the USD/INR rate might fall. He enters into a forward contract with a bank to sell $1 million at a fixed rate. If the dollar weakens: He gets less money in the market. But the forward contract guarantees a fixed rate. Thus the business avoids currency risk. Forwards are widely used by: Exporters and importers Banks Large corporations Commodity producers They hedge exchange rate risk, interest rate risk, or commodity price risk. 4. Swaps – Exchanging Cash Flows to Reduce Risk A swap is a contract between two parties to exchange cash flows. Two common types: Interest Rate Swaps Currency Swaps Interest Rate Swap Example A company with a floating-rate loan fears rising interest rates. It enters into a swap to convert the floating rate into a fixed rate. If market rates rise, the company pays more interest normally, but gains in the swap compensate the higher payment. This stabilizes finance costs. Currency Swap Example A company with revenue in USD but expenses in INR can exchange currency cash flows using a swap so that currency fluctuations do not hurt the business. Swaps reduce uncertainty for long-term financial planning. Real-World Hedging Examples Airlines and Crude Oil Airlines hedge oil prices using futures and swaps because fuel cost is uncertain. Hedging ensures predictable expenses. Farmers and Commodity Prices Farmers hedge against falling commodity prices using futures and options. Manufacturing Companies Steel consumers hedge rising metal prices using futures. Exporters and Importers Currency forwards and options reduce FX volatility risk. Stock Investors Portfolio managers hedge index risk using index futures or index put options. Benefits of Hedging with Derivatives ✔ Reduces risk and uncertainty ✔ Protects profit margins ✔ Stabilizes cash flows ✔ Improves planning and budgeting ✔ Protects portfolios from market crashes ✔ Provides insurance-like safety ✔ Allows businesses to focus on operations instead of price fluctuations Limitations and Risks of Hedging Hedging has costs (like option premium). Over-hedging can reduce profits. Mis-using derivatives can increase risk. Requires knowledge and discipline. Mark-to-market losses can occur, even if final protection holds. But despite costs, hedging is essential for long-term stability. Conclusion Derivatives are powerful tools for managing and reducing financial risk. By taking an opposite position in futures, options, forwards, or swaps, businesses and investors can ensure that adverse market movements are offset by gains in derivative markets. This transforms unpredictable markets into manageable environments. Whether it is an airline hedging fuel costs, an exporter hedging currency risk, or an investor protecting a stock portfolio, derivatives act as a financial shield. They do not eliminate uncertainty, but they convert unknowns into planned, controlled outcomes. That is the true power of hedging.
Education
by TechnicalExpress
AI Predicts Market Moves1. Why AI Is Ideal for Market Prediction Financial markets are driven by: Millions of daily transactions Global macroeconomic events News sentiment Social media trends Investor psychology Seasonality and liquidity changes Traditional statistical models struggle with non-linear and high-frequency patterns, but AI excels here. AI can detect: Hidden correlations Rapid trend reversals Micro-patterns in high-frequency price action Behavioral biases reflected in order flows Because AI systems continuously learn and adapt, they perform well in dynamic environments where patterns evolve rapidly. 2. Types of AI Models Used for Predicting Market Moves a) Machine Learning Models Machine learning (ML) is widely used in quantitative trading. 1. Linear and logistic regression models Used for probability-based predictions such as: Will price go up/down next day? Will volatility rise? Is a breakout likely? 2. Random Forest and Gradient Boosting Models These ensemble models help in: Multi-factor trend prediction Classifying bullish/bearish phases Predicting price momentum They combine multiple decision trees, improving accuracy and reducing noise. b) Deep Learning Models Deep learning can detect highly complex patterns. 1. LSTM (Long Short-Term Memory) Networks Ideal for sequential data such as: Price history Volume patterns Volatility cycles LSTM models capture long-term dependencies—useful for swing or positional trading prediction. 2. CNN (Convolutional Neural Networks) Surprisingly effective in market prediction because they treat charts like images. Applications: Pattern recognition (head-and-shoulders, flags, ranges) Candlestick image classification 3. Transformer Models Transformers—same architecture behind ChatGPT—are now used for: Sentiment analysis News interpretation Multi-input data prediction They can handle huge datasets and understand context more effectively than older models. c) Reinforcement Learning (RL) Reinforcement learning models learn by: Trying different strategies Receiving reward/punishment Optimizing decision sequences RL is used for: High-frequency trading Algorithmic trade execution Portfolio balancing Market making strategies Firms like DeepMind, JPMorgan, Citadel, and Goldman Sachs use RL at scale. 3. Data Used by AI to Predict Markets AI needs massive, multi-dimensional datasets. Common inputs include: a) Price & Technical Data OHLC (Open, High, Low, Close) Volume Moving averages RSI, MACD, Bollinger Bands Momentum indicators Order book depth VWAP and liquidity metrics b) Fundamental Data Earnings Valuations (PE, PB, PEG ratios) Revenue growth Debt levels Management commentary c) Macro Data GDP, inflation, interest rates Commodity prices Currency fluctuations Geopolitical events d) Sentiment Data AI analyzes sentiment using: News headlines Social media posts Analyst reports Global event interpretations Natural language processing (NLP) models convert text into sentiment scores. e) Alternative Data Modern AI uses unconventional datasets: Satellite imagery Foot traffic data E-commerce checkout volume Weather patterns Shipping/tracking data These unique insights give hedge funds a competitive advantage. 4. How AI Actually Predicts Market Moves Step 1: Feature Extraction AI transforms raw data (price, news, sentiment) into meaningful signals. Step 2: Pattern Detection AI searches for repetitive patterns such as: Trend continuation setups Volume–price divergence Mean-reversion behavior Market reaction to news events Step 3: Probability Prediction Instead of “predicting exact price,” AI predicts probabilities: 70% chance price goes up next hour 60% probability of volatility expansion High likelihood of trend reversal Step 4: Decision-Making For prediction-based trading: Buy signals Sell signals Risk management instructions For automated trading: Optimal entry/exit Position sizing Stop-loss levels Execution speed adjustments Step 5: Continuous Learning AI models retrain themselves using new data, improving accuracy automatically. 5. Benefits of AI in Market Prediction ✔ Speed AI analyzes millions of data points in milliseconds. ✔ Accuracy Through learning from massive datasets, AI detects subtle trends humans miss. ✔ Emotion-Free Trading AI eliminates biases such as fear, greed, overconfidence, or panic selling. ✔ Adaptability AI quickly adapts to: New market conditions Volatility spikes Regime shifts (bull to bear, consolidation to breakout) ✔ Scalability AI models can trade multiple markets simultaneously: Stocks Commodities Forex Crypto Indices 6. Limitations and Risks of AI Market Prediction Despite its power, AI is not perfect. a) Market Behavior Can Change Abruptly Sudden events like: War Natural disasters Flash crashes Black swan events …can disrupt any model. b) Overfitting AI sometimes memorizes data instead of learning patterns, leading to poor real-time performance. c) Garbage In, Garbage Out If input data is noisy, biased, or incomplete, predictions fail. d) Lack of Explainability Deep learning models often act as “black boxes”—hard to interpret decisions. e) Competition If many traders use similar AI models, predictive edge may disappear. 7. Real-World Use of AI in Markets a) Hedge Funds Top funds like Renaissance Technologies and Two Sigma use AI for: Predicting price movements Modeling volatility High-frequency trades b) Banks Banks use AI to: Optimize market-making Manage trading risk Detect anomalies c) Retail Traders Modern platforms provide: AI scanners Auto-chart patterns Sentiment analyzers Prediction dashboards d) Exchanges AI helps detect: Unusual order flow Spoofing or manipulative trades Liquidity risks 8. The Future of AI in Market Prediction Next-generation AI trading will include: Fully autonomous trading bots Agent-based market intelligence AI models analyzing global macro in real time AI risk engines predicting systemic failures Predictive accuracy will rise as: Data becomes richer Computing becomes faster Reinforcement learning evolves AI will not perfectly predict markets, but it will continue to dramatically improve decision-making and risk management. Conclusion AI has become a powerful tool for predicting market moves by combining massive data, advanced models, and real-time learning capabilities. Although not perfect, AI enhances accuracy, reduces emotional biases, and identifies patterns humans cannot see. As technology continues to evolve, AI will only grow more central in shaping financial markets and trading systems worldwide.
Education
by TechnicalExpress
POLYCAB 1 Day View📈 Key Price & Context Latest intraday trading range (recent session): ~ ₹ 7,416.00 – ₹ 7,568.50. 52‑week range: Low ≈ ₹ 4,555 • High ≈ ₹ 7,903. ⚠️ What the Mixed Signals Suggest (Today / Intraday) If price dips toward ₹ 7,412 – 7,440 — that could be a reasonable intraday support zone. A bounce from that area may lead to a move toward the resistance zone. On a rally — resistance around ₹ 7,510 – 7,578 is likely to cap upside unless there is strong volume or trigger news. Given mixed technical readings (some bullish MAs vs weak oscillators), expect sideways to modestly bullish bias — with potential for intra‑day swings rather than a strong trend.
NSE:POLYCABLong
by TechnicalExpress
SIEMENS 1 Day View 🔎 Recent / Intraday Price Snapshot According to one data source, today’s intra‑day range for Siemens Ltd is roughly ₹ 3,301.10 – ₹ 3,364.50. Other sources list a somewhat different day‑range near ₹ 3,266.20 – ₹ 3,316.60. ⚠️ What to keep in mind The two public sources disagree slightly — intraday ranges vary with data provider. Use this table as guidance, not a guarantee. Intra‑day support/resistance are temporary: they can shift if there’s strong volume, news or volatility. Always combine with volume, broader trend, and risk management.
NSE:SIEMENSLong
by TechnicalExpress
DIXON 1 Day View📌 Recent Price & Context Last price around ₹ 14,554–₹ 14,570. 52‑week range: low ~ ₹12,202 and high ~ ₹19,149. Recent technicals (RSI, MACD, etc.) suggest weak momentum / a “sell” bias on daily chart. ⚠️ What the Technicals Indicate Now With daily RSI & MACD negative/weak — momentum is bearish right now. Price is near lower part of pivot‑derived zone — meaning downside risk exists if supports fail. For bulls to regain control, breaking above ~ ₹14,400–14,500 (R1–R2) would be an encouraging sign — could pave way to medium‑term levels. If support at ~ ₹14,115–14,020 breaks, the next major support would be around the lower zone / 52‑week low vicinity (but that’s a bigger move).
NSE:DIXONLong
by TechnicalExpress
1
Part 10 Trade Like InstitutionsBear Put Spread – Best for Mild Downtrend with Controlled Risk Same concept but for bearish conditions. How it works Buy a lower strike put. Sell a farther out-of-the-money put. When to use Expect small to moderate fall. Want low risk and fixed cost. Risk and reward Risk: Limited to net debit (premium). Reward: Limited but predictable. Example Buy Bank Nifty 49,000 PE at ₹150 Sell 48,800 PE at ₹70 Net premium = ₹80 Max profit = 200 – 80 = ₹120
NSE:TVSMOTOREducation
by SkyTradingZone
XAUUSD/GOLD 1H BUY PROJECTION 02.12.25Market Structure Price has broken the uptrend line, causing a corrective move inside a descending channel. The correction is respecting channel boundaries (multiple rejections on top & bottom). 🔹 Key Zones Support Zone: 4180 area → Confluence of FVG (Fair Value Gap) + Demand Zone + Channel Bottom. Target Zone: 4218–4220 → Retest of the broken structure zone. 🔹 Buy Setup Logic Price dipped into OBEY CHANNEL + FVG + SUPPORT zone (blue/purple box). Expectation: Price should bounce from support and move higher. First target aligns with: Channel Top Breaked zone retest Previous minor structure level. 🔹 Projection Outcome A bullish push towards 4218.89 zone is projected if support holds. SL should be placed below the 4168–4170 zone under channel + FVG.
FX:XAUUSDLong
by kripsonfx97
Part 9 Trading Master ClassBull Call Spread – Best for Mild Uptrend with Low Risk This is a defined-risk bullish strategy. How it works Buy a lower strike call. Sell a higher strike call to reduce cost. When to use You expect a moderate rise, not a major rally. Premiums are expensive and you want to reduce cost. Risk and reward Risk: Limited to net premium paid. Reward: Limited (difference between strikes – cost). Example Buy Nifty 22,000 CE at ₹120 Sell Nifty 22,200 CE at ₹50 Net cost = ₹70 Max profit = ₹200 – 70 = ₹130
Education
by SkyTradingZone
BALKRISIND 1 Week Time Frame 📊 Key recent stats (as of 2 Dec 2025) Share price is ~ ₹ 2,410 (intra-day high ~ ₹ 2,429, low ~ ₹ 2,297). 52-week trading band: Low ≈ ₹ 2,152 — High ≈ ₹ 2,928. Key valuation metrics: P/E ≈ 32–33×, P/B ≈ ~4.3–4.5×, ROE ~15–17%. ✅ What I see as the Most Likely 1-Week Path Given the mixed technical indicators — some bullish signals, some neutral to bearish — I lean toward a mild upward drift or consolidation near current levels over the next few days. A modest bounce toward ~₹ 2,430–2,460 is plausible if sentiment holds. But downside risk remains real — so a slip to ~₹ 2,270–2,300 cannot be ruled out if broader market weakens.
NSE:BALKRISINDLong
by Knowledgehub
Part 7 Trading Master Class Long Call – Best for Trending Bullish Markets This is the simplest directional option trade. How it works You buy a call option. Profit increases as price moves above strike + premium. When to use You expect a big upside in short time. Market volativity is low, premiums are cheap. Risk and reward Risk: Only premium paid. Reward: Unlimited theoretical upside. Example You buy a Nifty 23,000 CE for ₹50. If Nifty goes to 23,200, your call may become ₹200. Your profit = ₹200 – ₹50 = ₹150 per unit.
BITSTAMP:BTCUSDEducation
by SkyTradingZone
HEROMOTOCO 1 Day View📈 Current Technical Snapshot As of the most recent close, Hero MotoCorp is trading around ₹ 6,174–₹ 6,175. Medium‑ to long‑term moving averages (20‑day, 50‑day, 100‑day, 200‑day) are all below current price — indicating a bullish trend on daily timeframe. Momentum indicators (e.g. MACD, RSI, CCI) remain positive in recent technical overlays — reflecting continued bullish bias. 🧭 What this means (short‑term bias) As long as the stock remains above ~ ₹ 6,098–6,100, positive bias likely remains intact — supports may hold if there’s a pullback. A break above ₹ 6,200–6,205 could open near‑term upside toward ₹ 6,250–6,300+ (near recent highs / psychological resistance). On downside — if price breaks convincingly below ~ ₹ 6,000, next real support comes only near ₹ 5,995–6,000. ⚠️ What to Watch / Limitations Technical levels are zones, not precise lines — price may overshoot briefly before reaction. Market‑wide factors or news (macroeconomic, demand for two‑wheelers, policy, daily volume) can override technicals. These levels are short‑term / 1‑day to few‑day oriented. For swing or long‑term holdings, combine with weekly / monthly chart analysis.
NSE:HEROMOTOCOLong
by TechnicalExpress
BTCUSD NO TRADE ZONE BOX WAITING FOR BRAKOUT PULLBACK✅ BTCUSD – No-Trade Zone Box Analysis Your marked blue box is a perfect consolidation range after a large downside move. This structure = NO TRADING ZONE because: 1️⃣ Market is in compression Inside the box, price shows: overlapping candles no clear direction equal highs/lows forming both sides liquidity being built This means Smart Money is accumulating orders for the next big move. 📌 Important Levels in Your Chart Upper boundary (Resistance) ≈ 87,200 – 87,400 This is where sellers defended → strong short-term supply. Lower boundary (Support) ≈ 86,200 – 86,400 This is where buyers defended → short-term demand. This creates a tight range, perfect for fake breakouts. 🚫 Why No Trade Inside the Box? Liquidity traps Stop-hunts both sides No trending volume Whipsaw candles → SL hits quickly Smart move = WAIT FOR BREAKOUT + RETEST. 📈 PLAN – How to Trade After Breakout 🟢 Bullish Breakout Setup Trigger: Candle close above 87,200 – 87,400 Entry: Retest of top of the box Targets: TP1 → 88,000 TP2 → 89,000 zone TP3 → 89,600 – major liquidity zone SL: Below 86,800 🔻 Bearish Breakout Setup Trigger: Candle close below 86,200 – 86,400 Entry: Retest of bottom of the box Targets: TP1 → 85,400 TP2 → 84,764 (monday low zone) TP3 → 84,000 SL: Above 86,800 🎯 Summary (Simple Version) Blue box = No-trade zone Wait for breakout + retest Above 87,200 → BUY Below 86,200 → SELL Big move is coming because price compressed after large drop.
BINANCE:BTCUSD
by Skalpfi
1