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Wave Analysis

NATIONALUM 1 Week View 📊 Snapshot Current price: ~ ₹253–254. Weekly pivot (classic) on weekly timeframe: ≈ ₹254.92. Weekly support levels: ≈ ₹245.54 (S1), ₹240.40 (S2) Weekly resistance levels: ≈ ₹260.06 (R1), ₹269.44 (R2) ✅ Key levels to monitor this week Near term resistance: ~ ₹255–256 Primary target if bullish: ~ ₹260 Extended upside: ~ ₹269 (if strong breakout) Primary support: ~ ₹245.5 Secondary support: ~ ₹240 ⚠️ Risks to watch Failure to close above ~₹255 this week → possible sideways/weak move. A drop below ~₹240 could open up more downside risk. Being in the metals sector, external factors (global aluminium price, energy costs, mining issues) can influence price rapidly even if technicals look okay.
NSE:NATIONALUMLong
by TechnicalExpress
MARKET CONTEXT CHART H1 I 11/25Market Context (English Version) Gold is still moving within a solid bullish structure, shown clearly through its sequence of higher-highs and higher-lows. Buying pressure remains dominant in the short term, but price is approaching the Supply Zone at 4,147 – 4,150, where profit-taking pressure may appear. The Volume Profile reveals: POC at 4,093 → This is the price level with the highest traded volume, showing strong agreement from both buyers and sellers. VAH Zone 4,120 – 4,125 acts as soft resistance; if this zone holds after a pullback, the bullish trend remains intact. VAL Zone 4,043 – 4,020, combined with the lower Demand Zone, forms a strong defensive layer for buyers if price makes a deeper correction. Currently, price is running closely along the ascending trendline, signaling that buyers are still applying pressure. However, as price approaches the Supply Zone, the market may temporarily stall and create a technical correction. Notable signals: H1 candles show upper wicks, indicating that sellers are starting to react around 4,145 – 4,147. The Volume Profile is heavier toward the upper range, suggesting the market may need a liquidity grab back toward the POC before continuing upward. Overall: ➡️ The primary trend is still bullish. ➡️ But the market is likely in need of a pullback to accumulate more strength. ➡️ Only if price breaks below 4,093 will a deeper correction begin. ➡️ A break below 4,015 would confirm a full structural shift from bullish to bearish. 🟦 Scenario 1: Price continues upward – Breaks the Supply Zone (bullish continuation) Conditions: Price maintains the ascending trendline. 4,120 (VAH zone) holds and price bounces strongly. Development: Price retraces toward 4,120 – 4,093 (VAH & POC). Strong buying absorption appears → forms a higher low. Price pushes back up to retest the 4,147 Supply Zone. If buyers dominate → break above 4,147 and extend toward 4,160 – 4,175. Meaning: The bullish trend remains intact. Buyers are fully in control. 🟧 Scenario 2: Deep correction before continuing upward (pullback to VAL Zone) Conditions: Price breaks the ascending trendline. Buyers fail to defend VAH/POC and price loses 4,120. Development: Price breaks below 4,093 (POC). Drops further toward 4,043 – 4,020 (VAL zone). This is a strong prior demand level. Price reacts at VAL → forms a new low → resumes bullish momentum. Meaning: Healthy correction. Market pulls back to gather liquidity before the next bullish leg. 🟥 Scenario 3: Bearish reversal – Break of Demand Zone Conditions: Price breaks below 4,043 – 4,015 (Demand + VAL). Strong selling absorption overwhelms buyers. Development: Price falls through the Demand Zone. Retests it, turning it into new Supply. A medium-term bearish trend forms. Downside targets: 4,000 3,985 3,970 Meaning: Market structure breaks. Bullish trend ends, and a new bearish phase begins.
OANDA:XAUUSD
by Mark_Melanie_Gold_Stragegy
CASTROLIND 1 Week View 🔍 Key Levels Based on recent technical data: Support zone: ~ ₹187 – ₹189 (ET Money shows S3 ≈ ₹185.42, S2 ≈ ₹186.71) Pivot / near-term equilibrium: ~ ₹190 – ₹191 (Weekly central pivot ~₹190.42) Upside resistance: ~ ₹194 - ₹196 (Weekly R1 ~₹192.83, R2 ~₹196.64) 📈 Short-Term Bias & Likely Scenarios The momentum indicators (RSI ~33, CCI negative) show the stock is under downward pressure/weak momentum. If the price stays above ₹187-189, one could anticipate a bounce up into the ₹194-196 zone this week. If it breaks below ~₹187-189 decisively, support further down could be ~₹183-185 (based on extension levels) ✅ My View for the Week Bias: Mildly bearish to neutral unless buyers step in strongly. Actionable zone: Watch ₹187-189 closely — a failure here may trigger further decline; a hold could enable rebound toward ₹194-196. If you want a more aggressive trade setup (with stop-loss, reward ratio), I can map that too.
NSE:CASTROLINDLong
by TechnicalExpress
Microstructure Trading Edge1. What Is Microstructure Trading? Microstructure trading focuses on: Order flow (who is buying/selling and with what urgency) Liquidity (where big orders sit in the book) Bid–ask dynamics Market maker behavior Execution algorithms Slippage and transaction cost analysis Short-term price impact Instead of predicting future prices using patterns, a microstructure trader reads the real intentions of market participants through order book changes, volume imbalances, and execution footprints. This gives the trader the ability to: Enter before breakouts actually occur Predict fakeouts and liquidity grabs Spot absorption by big players Identify high-probability reversal points Understand when momentum is real or manufactured In short, microstructure trading is about recognizing the behavior of money, not the movement of lines. 2. The Foundation of Microstructure Edge A microstructure trading edge emerges when you consistently identify and exploit inefficiencies in: Order execution Limit order placement Market maker risk control Liquidity distribution Price impact of aggressive orders These inefficiencies exist because: Limit orders are placed by humans and algorithms with predictable patterns Market makers adjust spreads based on risk Large players cannot hide their intentions completely Liquidity is uneven and clustered around obvious levels Retail traders chase breakout candles, creating temporary mispricings Understanding these behaviors offers a structural edge rather than a psychological one. 3. Key Elements of Microstructure Trading (A) Order Flow Analysis Order flow tells you the story behind every candle. Key concepts: Aggressive Buying → Market buy orders lifting liquidity at ask Aggressive Selling → Market sell orders hitting bids Delta and Cumulative Delta → Shows the net buying/selling pressure Example edge: If price is rising but cumulative delta is falling, it indicates passive absorption, meaning big players are selling into the rally. A sharp drop is likely ahead. (B) Liquidity Pools Liquidity pools are areas where large stop-losses or limit orders accumulate: Swing highs/lows Round numbers Previous day high/low Big figure levels VWAP Smart money often pushes price toward these pools to trigger liquidity and fill their large orders. Edge: When price aggressively taps a liquidity pool but shows no follow-through, it often marks a reversal or fade opportunity. (C) Market Maker Behavior Market makers provide liquidity but also: Adjust spreads based on volatility Absorb or reject aggressive orders Hedge inventory risks Manipulate micro-movements to attract order flow A microstructure trader watches for: Spread widening (hinting at imbalance) Sudden liquidity removal Fake liquidity (spoofing) Iceberg orders Hidden limit orders When you know why a market maker widens spreads or pulls liquidity, you get clues about impending volatility or direction. (D) Price Impact Models Large institutional orders create predictable patterns: They move price in the direction of the trade The price impact is nonlinear—bigger orders have exponentially higher impact They break orders into small chunks using algorithms (VWAP, TWAP, POV) A microstructure trader identifies these patterns through: Consistent small prints at fixed intervals Volume clustering Slow grind with no retracements This often signals algorithmic accumulation or distribution, forming early entries. (E) Queue Position & Execution Advantage In limit order markets, queue priority matters. Being early in the queue gives: Better fill probability Lower slippage Reduced adverse selection HFT firms exploit this with: Speed advantage Order anticipation Rebate capturing Retail traders can still gain edge through: Using limit orders at well-selected liquidity zones Avoiding poor execution times (open & close volatility) Minimizing mechanical slippage This transforms trading from random entries to strategic liquidity positioning. 4. Types of Microstructure Trading Edges 1. Liquidity Edge Understanding where liquidity sits allows you to anticipate: Stop hunts False breakouts Sharp reversals You know why price moves, not just where. 2. Order Flow Timing Edge Knowing when aggressive orders enter the market helps you: Ride momentum early Avoid fading strong pressure Identify trap moves This is especially powerful during: First 15–30 minutes News volatility Breakout retests 3. Market Maker Pattern Edge Market makers behave consistently under: Low liquidity Sudden volatility One-sided order flow Recognizing their footprints gives you: High-probability scalps Reversal signals Safe entry timing 4. Execution Efficiency Edge Improving order placement reduces: Slippage Costs Unnecessary losses Over thousands of trades, this becomes a significant edge. 5. Structural Pattern Edge Microstructure traders often specialize in: Liquidity grabs Absorption blocks Exhaustion prints Imbalance continuation Fair value gaps Order blocks Auction inefficiencies These are not traditional chart patterns—they are behavioral signatures of large traders. 5. Practical Microstructure Trading Strategies (1) Liquidity Grab Reversal Strategy Steps: Identify swing high/low with visible liquidity. Wait for price to spike into the zone aggressively. Watch order flow: If volume spikes but price fails to follow → absorption. Enter toward the opposite direction. Target nearest imbalance or range midpoint. Edge: You ride the trapped traders’ pain. (2) Imbalance Continuation Strategy Look for strong one-sided delta. Price creates a displacement (fast move). Wait for shallow pullback into imbalance or fair value gap. Enter with trend. Exit before next liquidity pool. Edge: You ride institutional execution algorithms. (3) Absorption Detection Strategy Price approaches support/resistance. Aggressive buying/selling is absorbed by opposite passive orders. Price struggles to break despite large market orders. Enter opposite direction. Edge: You detect hidden limit orders absorbing flow. 6. Why Microstructure Trading Works Human and algorithmic behaviors repeat Liquidity distribution is predictable Markets must move to fill large orders Retail traders consistently provide exploitable patterns Market makers follow rules and risk constraints Order flow cannot be completely hidden Microstructure trading edge is structural and durable, unlike pattern-based edges which decay over time. 7. Final Thoughts Microstructure trading offers a deep understanding of why price moves, not just where it moves. By studying order flow, liquidity, market maker behavior, and execution mechanics, traders gain a sustainable edge rooted in the actual functioning of markets. It requires discipline, screen time, and precision, but the rewards are significant—superior timing, reduced risk, and higher accuracy.
NSE:M&MEducation
by TechnicalExpress
Traders’ Psychology in Indian Markets1. The Foundation of Trading Psychology Trading psychology refers to the mindset and emotional framework that shapes how traders think, behave, and make decisions in the market. It includes: Emotions like fear, greed, hope, and regret Behavioural biases such as overconfidence or loss aversion Mental discipline in following strategies Risk-taking ability and rational thinking The ability to stay calm under pressure In India’s fast-moving markets—especially in derivatives where leverage is high—psychology becomes even more important. It is often said that 90% of trading is psychology, and 10% is strategy, because the best strategy fails without disciplined execution. 2. Key Emotional Drivers in Indian Markets A. Fear Fear in trading emerges in two forms: Fear of losing money New traders in Indian markets often exit trades too early, especially after a small profit, because they are fearful of giving it back. On the flip side, they may hold losing positions for too long due to fear of booking a loss. Fear of missing out (FOMO) When indices rise sharply—like Nifty or Bank Nifty during bullish momentum—retail traders chase moves without proper analysis. This leads to poor entries and emotional exits. B. Greed Greed pushes traders to: Overtrade Increase lot sizes impulsively Avoid booking profits Try to “recover” losses quickly Take trades without setups during high market volatility Greed is particularly visible during stock rallies, upper circuits, or news-driven moves in Indian markets. C. Hope Hope is dangerous in trading. Many Indian traders hold losing positions expecting a reversal that never comes. Especially in futures or options, this behaviour can destroy capital quickly. Hope is not a strategy; discipline is. D. Regret Regret shapes trader behaviour by: Influencing revenge trading Causing hesitation in new trades Creating emotional instability A trader who missed a move in HDFC Bank or Reliance may jump aggressively into unrelated trades out of frustration. 3. Behavioural Biases Influencing Indian Traders India’s trading community is heavily influenced by behavioural finance. Some common biases are: A. Herd Mentality Retail traders often follow social media tips, TV channels, WhatsApp groups, or Telegram “gurus”. This results in: Blindly following others Entering trades without analysis Impact-driven movements in small-cap/mid-cap stocks Herd mentality is one of the biggest reasons behind widespread losses. B. Overconfidence After a series of winning trades, traders feel invincible. They increase risk, ignore stop-losses, or believe the market will follow their prediction. Overconfidence particularly hurts option buyers or scalpers in indices. C. Loss Aversion Indian traders find it harder to book losses than to book profits. This leads to: Small profits and big losses Poor risk–reward ratios Emotional stress Loss aversion is the biggest barrier to consistent profitability. D. Recency Bias Recent events overly influence decisions. For example: A breakout stock yesterday → expected breakout today Yesterday’s trending market → expectation of another trending day Markets rarely repeat exactly the same behaviour daily. 4. The Unique Indian Market Environment Indian traders face specific psychological challenges due to: A. High Retail Participation Retail traders form a large chunk of volume in Indian derivatives. High participation increases sentiment-driven volatility. B. Leverage Availability Futures and options provide leverage, making emotional mistakes more costly. C. News Sensitivity Announcements related to: RBI policy Government budgets Corporate earnings Election outcomes Global cues (US markets, crude, dollar index) create sharp, unpredictable intraday spikes causing emotional swings. D. Social Influence Many Indian traders engage in trading communities. While community learning is positive, excessive dependence leads to bias and emotional reactions. 5. Psychological Stages of an Indian Trader’s Journey Stage 1: Excitement and Overtrading Beginners start with unrealistic expectations. They trade too much, expecting daily income. Stage 2: Confusion and Losses After repeated losses, frustration builds. Emotion-based trading increases. Stage 3: Realization Traders understand that psychology, risk management, and discipline matter more than strategy. Stage 4: Discipline and Structure A mature trader develops: A trading journal A fixed system Consistent risk rules Emotional stability Stage 5: Consistency The trader learns not to force trades and accepts that the goal is consistency, not perfection. 6. How Indian Traders Can Build Strong Psychology A. Create a Trading Plan A plan includes: Instruments to trade Timeframe Entry and exit rules Stop-loss levels Risk per trade A written plan removes emotional decision-making. B. Position Sizing Keeping risk low per trade reduces psychological pressure. Professional traders risk 0.5%–2% of capital per trade. C. Practice Patience Impatience is common in Indian markets, especially in intraday index trading. Patience allows traders to wait for perfect setups rather than jumping into noise. D. Control Overtrading Limiting trades per day helps avoid emotional spirals. E. Accept Losses Losses are part of the business. Emotionally detaching from losses is key to long-term success. F. Maintain a Trading Journal A journal records: Entry/exit Reason for trade Emotions felt Outcome Reviewing it helps identify emotional patterns. G. Meditation & Mindfulness Many successful traders practice breathing techniques, meditation, or mindfulness to stay calm during market movements. H. Avoid Tips and Noise Rejecting social media signals protects traders from herd behaviour and emotional trading. 7. The Mindset of a Successful Indian Trader A disciplined trader: Is comfortable with uncertainty Never chases trades Controls emotions, not the market Focuses on risk first, returns second Follows rules even on losing days Does not attach ego to market decisions Trading success comes from mental strength, not from predicting direction. 8. Final Thoughts Traders’ psychology is the cornerstone of success in Indian markets. While strategies, charts, and indicators are important, they are secondary. The real challenge is managing yourself. Markets consistently test patience, discipline, fear, and greed. Those who master their psychology thrive; those who don’t repeat cycles of emotional trading and losses. In the Indian trading landscape—full of volatility, leverage, news triggers, and retail activity—the ability to control emotions becomes even more crucial. Master psychology, and the market becomes a place of growth, consistency, and opportunity.
Education
by TechnicalExpress
Trading with Automated Systems in the Indian Market1. What Is Automated Trading? Automated trading is a method of executing trades using pre-defined rules, strategies, and algorithms without requiring manual intervention. Instead of manually clicking buy or sell, traders write logic such as: Buy Nifty futures when RSI < 30 Exit the trade when profit reaches ₹3,000 Place stop loss at 1% Square off all positions by 3:20 PM Once the rules are defined, the system executes trades automatically through the broker’s API. In India, automated trading became popular after exchanges allowed API-based access and brokers enabled retail algos. Today, many traders use Python-based systems, no-code platforms like Tradetron, or broker APIs like Zerodha Kite API, Angel One SmartAPI, and Alice Blue ANT API. 2. Growth of Automated Trading in India The Indian market has witnessed exponential growth in automation due to several factors: High volume and volatility in indices like Nifty and Bank Nifty Lower brokerage costs and zero-cost APIs Rise of fintech platforms providing retail algos Increased participation of proprietary firms and HFT desks Demand for disciplined trading among retail investors Today, over 70% of market orders in India are algorithmically generated (including institutional HFT). 3. How Automated Trading Works Automated trading has three core components: (A) Strategy Development Strategies are based on: Technical indicators (MACD, RSI, Supertrend) Price action (breakouts, volume analysis) Statistical models (mean reversion, pairs trading) Options strategies (straddles, strangles, spreads) Machine learning models Traders define: Entry rules Exit rules Risk management rules Position sizing Time filters (B) Execution System The execution engine connects the logic to market orders. This involves: Strategy triggers a signal System sends order via broker API Broker sends order to exchange Confirmation is sent back to the algorithm Execution speed is measured in milliseconds. (C) Risk Management Layer A robust algo includes: Stop loss Trailing stop Maximum daily loss Maximum number of trades Auto-square-off time In India, proper risk controls are critical due to the fast movement in index derivatives. 4. Types of Automated Trading in the Indian Market 1. Trend-Following Systems These strategies buy when the market breaks out and sell on breakdowns. Example: Supertrend, Moving Average Crossover 2. Mean-Reversion Systems Prices are assumed to return to their average after deviation. Example: RSI, Bollinger Bands pullback 3. High-Frequency Trading (HFT) Used by institutions; trades executed within microseconds. 4. Options Automated Strategies Very popular in India due to high liquidity. Straddles, strangles, spreads, iron condors Delta-neutral strategies Weekly expiry automated trading 5. Arbitrage Algorithms Cash-futures arbitrage Index arbitrage Cross-exchange arbitrage 6. Machine Learning Algos Models predict short-term price movement using data patterns. 5. Why Automated Trading Is Popular in India (A) Discipline and Emotion Control Most retail traders lose due to emotions such as fear, greed, and overtrading. Algorithms eliminate emotions and execute only according to logic. (B) Speed and Accuracy Indian markets, especially Bank Nifty options, move extremely fast. Manual execution cannot match the speed of an automated system. (C) Multi-Market Monitoring An algorithm can monitor: Stocks Index futures Options Greeks Intraday volatility Simultaneously. (D) Backtesting and Optimization Before deploying, traders can test strategies on historical data and refine them. (E) Scalability A single trader can simultaneously run: 20 symbols Multiple strategies Multiple timeframes 6. Tools for Automated Trading in India 1. Broker APIs Zerodha Kite Connect Angel One SmartAPI Dhan API Alice Blue ANT API 5Paisa API 2. No-Code Algo Platforms Tradetron AlgoTest Squares Streak (rule-based) Quantman 3. Coding-Based Systems Python (most popular) Java & Node.js for HFT-grade systems Cloud servers (AWS, DigitalOcean, Google Cloud) 7. Regulatory Framework in India The Securities and Exchange Board of India (SEBI) regulates automated trading. Key rules include: (1) API approval and broker responsibility Brokers must monitor suspicious algo activity. (2) No fully automated systems without risk checks Retail automation must include: Order confirmation Risk filters Limits (3) No misleading “guaranteed profit” claims Platforms offering automated strategies must avoid unrealistic promises. (4) HFT and co-location are regulated Only institutions get access to exchange co-location. Overall, SEBI ensures algos improve efficiency without harming market stability. 8. Advantages of Automated Trading More disciplined and emotionally neutral Faster execution, reducing slippage Ability to run multiple strategies Consistent performance No fatigue, distractions, or human errors Suitable for high-volume traders Efficient risk management through automated stops 9. Challenges and Risks (A) Technical Failures Internet outage, server down, or broker API error can disrupt trading. (B) Over-Optimization Backtested strategies may fail in live markets if over-fitted. (C) Rapid Market Movements Events like RBI policy, global news, or election results can trigger massive swings. (D) Broker API Limits Some brokers throttle API calls, causing delays. (E) Psychological Pressure Even automated systems need confidence to stick with drawdowns. 10. Best Practices for Traders Using Automation Start with small capital and scale gradually Use cloud servers for stable execution Always keep manual override ready Use multiple risk layers Backtest, forward test, and paper trade before going live Monitor markets at least during volatile sessions Avoid strategies dependent on unrealistic assumptions Conclusion Automated trading in the Indian market is a powerful evolution of modern finance. It empowers traders with speed, discipline, precision, and data-driven decision-making. With the growth of APIs, options trading, and fintech platforms, automation has become accessible to every retail trader—not just professionals. However, automation is not a magic solution; it requires strong logic, rigorous testing, and robust risk management. When used wisely, automated systems can transform trading performance and help traders participate in India’s dynamic and fast-growing market with confidence and consistency.
BITSTAMP:BTCUSDEducation
by TechnicalExpress
BEL 1 Day Time Frame✅ Current Status Latest price around ₹407 – ₹410 on the NSE/BSE. Technical indicators (daily time frame) are leaning bearish/weak: e.g., daily moving averages show more “sell” signals than “buy”. 📌 Key Levels to Watch (Daily Chart) Based on available pivot/level data and recent price action, here are approximate levels: Support levels: S1 ~ ₹407–₹408 S2 ~ ₹405–₹406 A deeper support zone if this breaks might be ₹400-₹404. Resistance levels: Pivot ~ ₹413-₹414 R2 ~ ₹416-₹417 R3 ~ ₹419-₹420+ 🔍 Short-Term Outlook Because the stock is hovering just above support (~₹407-₹408), holding above this zone is important to maintain near-term structure. If price breaks below ~₹405, risk of further weakness increases. On the upside, a successful breakout above ~₹416-₹417 could open space towards ~₹419-₹420. The current momentum is weak/negative, so any upside will likely need a catalyst (volume, news) to gain strength.
NSE:BELLong
by Knowledgehub
LICHSGFIN 1 Day Time Frame 📍 Key Current Levels The stock is trading around ₹ 550 (recent quotes ~₹ 548-550) on the NSE. Pivot & major levels (from one source) on the daily: Classic pivot: ~₹ 550.32 Support levels: ≈ ₹ 547.39 (S1), ≈ ₹ 542.02 (S2) Resistance levels: ≈ ₹ 555.69 (R1), ≈ ₹ 558.62 (R2) Longer-term moving averages: 50-day MA ≈ ₹ 559.47; 200-day MA ≈ ₹ 570.32 — both above current price, indicating downward pressure. RSI and oscillator reading: RSI around ~41 (neutral/leaning oversold) per one data point. 🔍 Interpretation & What to Watch With price below major moving averages (50 & 200 day), the bias remains bearish on the daily chart. The pivot around ₹ 550 is a key level: holding above may help stabilise; falling below could signal more weakness. Important support to watch: ~₹ 547 and then ~₹ 542. If these break, risk of further downside. Key resistance: ~₹ 555-558 zone. A break up through that with volume could offer short-term upside. The RSI being relatively low (though not deeply oversold) suggests potential for a rebound if positive trigger arises, but trend is not yet positive. Because the broader trend remains negative, any bounce should be treated cautiously unless backed by strong volume and a clear breakout above that resistance zone.
NSE:LICHSGFINLong
by Knowledgehub
COAI Falling Wedge Setup📌 Pattern Overview • COAI is forming a Falling Wedge, highlighted clearly by the two downward-sloping converging red trendlines. • This is a bullish reversal structure, especially when it forms after a prolonged downtrend. • Price has tapped the wedge support multiple times, showing seller exhaustion and decelerating momentum. • The latest bounce near the lower boundary suggests early signs of accumulation. ⸻ 📉 Key Levels Support • $0.3438 — Major swing support + wedge bottom • $0.5626 — Local support, currently acting as short-term demand Resistance • $0.9502 — First key horizontal resistance • $1.2124 — Major supply zone / previous structural breakdown level • $2.3780 — Full target if wedge breaks and momentum expands ⸻ 📈 Market Outlook Bias: Bullish but breakout-dependent • Price is coiling inside a confirmed falling wedge. • Multiple liquidity sweeps near the lower boundary indicate seller weakening. • If price breaks above the wedge top, momentum could accelerate sharply due to thin liquidity above. Breakout Direction • Upside breakout is statistically more likely with a falling wedge. • However, a sweep-and-reversal fakeout downside is still possible before final expansion. ⸻ 🧭 Trade Scenarios 🟢 Bullish Scenario Trigger: • 4H candle close above the falling-wedge resistance OR clean break above 0.9502 Targets: • TP1 → $1.2124 • TP2 → $2.3780 (full wedge breakout expansion zone) Rationale: • Break above wedge equals trend reversal confirmation • Above $1.21, there’s a liquidity vacuum straight to $2.37+ ⸻ 🔻 Bearish Scenario Trigger: • Breakdown below 0.3438 (wedge invalidation) Targets: • TP1 → 0.28 • TP2 → 0.20 (liquidity void + psychological) Rationale: • Losing the wedge bottom turns structure into continuation downtrend • Price discovery into lower zones possible after liquidity flush ⸻ ⚠️ Final Note Given current price behavior, volatility will likely spike once COAI chooses a direction. ⸻
Long
by Jitendra_Verma
Perfect Short & Long Swing Example | ABLBL 1. Short-Term Swing Trade (Short Swing) ✔ Reason: The stock repeatedly bounces between support and trendline resistance, creating a tight swing range. Key Points Visible in Chart: Strong support around ₹122–124 Clear falling trendline around ₹132–135 Price touched bottom → bounced → heading toward trendline MACD shows early green ticks RSI recovering from oversold Short Swing Meaning: Buy near support Sell near trendline resistance Example from Chart: Entry: ₹124–126 Target: ₹132–135 Profit window: 5–7%, achievable in 3–10 days This is what you highlighted as “short swing” — quick bounce trade. 2. Long Swing Trade (Bigger Move / Trend Breakout) ✔ Reason: The stock is inside a large wedge/channel, and the price is at the lower trendline, signalling potential bigger trend reversal. Key Points: Long-term trendline pointing upward Multiple swing lows forming higher bottoms Potential breakout above the falling blue trendline If breakout happens → rally toward ₹150–155 becomes likely Strong bullish structure visible Long Swing Meaning: Buy near major trendline support Hold until it reaches upper trendline Example from Chart: Entry: ₹124–128 Target: ₹150–155 Potential gain: 18–22% Time: 3–8 weeks This is what you marked as “long swing.” Note: This analysis is for educational purposes only. It is not a buy/sell recommendation. Always do your own research and manage risk before trading.
NSE:ABLBLLong
by apstockanalysis
LTIM 1 Day Time Frame 🧮 Key Data Snapshot Previous close: ~ ₹ 5,922. Today’s intraday low: ~ ₹ 5,850. Today’s intraday high: ~ ₹ 5,918. 52-week range: Low ~ ₹ 3,802, High ~ ₹ 6,767.95. 📌 1-Day Technical Levels to Watch Support levels: ~ ₹ 5,850 — today’s intraday low; if price dips below this it may signal intraday weakness. ~ ₹ 5,760-5,770 — a slightly lower zone (recent intraday “floor” area) that could act as secondary support. If those break, next meaningful structural support might be closer to ~ ₹ 5,500-5,600 (though further away, so bigger risk). Resistance levels: ~ ₹ 5,918-5,920 — today’s intraday high; a breakout above this could open upside for the day. ~ ₹ 6,000 — psychological and round number resistance; if momentum pushes, this is the next target. Above that, near the 52-week high (~₹ 6,767) but that’s more medium-term than for intraday. 🎯 Intraday Trading Scenarios Bullish intra-day trade: If price holds above ~₹ 5,850 and breaks above ~₹ 5,920 with volume, one could target ~₹ 6,000 or slightly above for the day, with a stop-loss below ~₹ 5,850 (or even ~₹ 5,770 depending on risk tolerance). Bearish intra-day trade: If price fails to hold ~₹ 5,850, and breaks down with momentum, one could look at a short, targeting ~₹ 5,700 or ~₹ 5,600. Stop-loss would be above ~₹ 5,910 zone. Range-bound play: If the price continues to oscillate between ~₹ 5,850 and ~₹ 5,920, one might play the range – buy near the lower bound, sell near the upper bound, but keep stops tight.
NSE:LTIMLong
by Knowledgehub
HINDPETRO - early signs of Trend Termination?TF: Daily CMP: 458 The impulse from March 2025 and Sep 2025 lows seem to have matured at 495 levels. We are witnessing signs of impulse price action in the corrective direction, hence, I am considering that the trend has ended at 495. This view is invalid if the price trades above and beyond 510-520 zone. I have marked internal counts for easy understanding. Please be informed that, as per DOW theory, the price is still in uptrend (HH-HL structure is still intact) In simple price action terms it could be a breakout and retest of a Cup & handle Pattern (For those with bullish bias) Finally the counts from 2020 also suggests that the 5 waves upmove has ended. Chart with internal counts from 2020 is copied below My Take: Price is still trading above 50 DEMA and most of the indications suggests bullish trend is still intact. But the wave counts suggests otherwise. I would avoid taking aggressive long positions and wait for structural change in the price action (LH-LH formation) for validation Disclaimer: I am not a SEBI registered Analyst and this is not a trading advise. Views are personal and for educational purpose only. Please consult your Financial Advisor for any investment decisions. Please consider my views only to get a different perspective (FOR or AGAINST your views). Please don't trade FNO based on my views. If you like my analysis and learnt something from it, please give a BOOST. Feel free to express your thoughts and questions in the comments section.
NSE:HINDPETRO
by Murthy_Santhosh
1
Fabtech 1 Day Time Frame 🔍 Technical Context Moving averages (20-day, 50-day) are showing price above them, which suggests bullish bias. Oscillators: RSI ~ 59-60 meaning moderate strength. A recent source says the daily summary is “Neutral” on investing.com, indicating caution. 1-day pivot levels (classic) from Investing.com: Pivot ~ ₹ 237.73 Resistance R1 ~ ₹ 240.46, R2 ~ ₹ 244.72, R3 ~ ₹ 247.45 Support S1 ~ ₹ 233.47, S2 ~ ₹ 230.74, S3 ~ ₹ 226.48 📊 Key Levels to Watch Today Support Zone: ~ ₹ 233-235 If the stock approaches or dips into this area, watch for whether it holds or breaks. Immediate Pivot / Mid-range: ~ ₹ 237-238 The pivot (~₹237.73) is a critical inflection point. A clear move above might bias upside; a break below may shift focus downward. Resistance Zone: ~ ₹ 240-245 Upper resistance around ~₹240.46 to ~₹244.72. If momentum picks up and this zone is breached, next upside target ~₹247.45. Lower Breakdown Level: ~ ₹ 230-227 If support in the ~233-235 zone fails, look toward ~₹230.74 and then ~₹226.48 as next real support.
NSE:FABTECHLong
by Knowledgehub
Gold H1 – Will Economic Slowdown Trigger a Liquidity Sweep?🟡 XAUUSD – Intraday Smart Money Plan | by Ryan_TitanTrader (24/11) 📈 Market Context Gold continues to move inside a tight compression range while markets react to new economic concerns raised by U.S. analysts. According to today’s report, economists are increasingly worried about an unusual slowdown pattern in consumer behavior — spending remains high, but confidence and savings are weakening. This mixed macro picture creates uncertainty: 🔹 Key takeaways from today’s news: • U.S. consumers are still spending but confidence is deteriorating, a red flag for future growth. • Economists warn this divergence could lead to slower economic momentum over the next quarters. • Weakening sentiment → higher recession fears → typically supportive for gold after liquidity sweeps. • However, short-term volatility remains high as markets reassess the sustainability of U.S. demand. With uncertainty rising, institutions are likely engineering both-side liquidity grabs before committing to a directional move. Gold is currently rotating between 4015–4100, respecting a clean SMC range structure. 🔎 Technical Analysis (1H / SMC Structure) • Market Structure Price is forming a descending compression pattern with repeated CHoCH signals, indicating engineered liquidity on both sides. • Premium Sell Zone (1H Supply) 4100 – 4102 → Overhead resting buy-side liquidity → Aligns with unmitigated internal supply + trendline liquidity • Discount Buy Zone (1H Demand) 4015 – 4013 → Inside the prior sweep zone → Confluence with ascending structure + BOS origin • Liquidity Map • Buy-side liquidity: above 4102 – 4110 • Sell-side liquidity: below 4013 – 4008 A sweep of either pocket is likely before real displacement. 🔴 Sell Setup (Premium Reaction Zone) Entry: 4100 – 4102 Stop-Loss: 4110 Take-Profit Targets: → 4065 (imbalance fill) → 4040 (range midpoint) → 4018–4015 (discount retest) 📌 Execution Rule: Wait for liquidity sweep into the zone + bearish CHoCH on M5–M15. 🟢 Buy Setup (Discount Reaction Zone) Entry: 4015 – 4013 Stop-Loss: 4008 Take-Profit Targets: → 4055 (short-term reaction) → 4080 (premium edge) → 4100 (sweep target) 📌 Valid only if price takes sell-side liquidity first and shows bullish displacement from discount. ⚠️ Risk Management Notes • Market may react unpredictably to weakening U.S. consumer sentiment — reduce risk during spikes. • Avoid trading inside the 4040–4070 chop zone unless a clean break or CHoCH forms. • Treat both setups as liquidity–based plays, not trend continuation trades. • Expect engineered manipulation during Asian session before London expansion. 📝 Summary Gold remains trapped in a controlled SMC range as economic signals turn mixed. With economists raising concerns about consumer–confidence divergence, gold may experience pre-breakout liquidity sweeps today. Key Zones: 🔴 Sell Zone: 4100–4102 🟢 Buy Zone: 4015–4013 Expect the classic SMC sequence: Accumulation → Sweep → Displacement → Retest → Target. 📍 Follow @Ryan_TitanTrader for more Smart Money updates.
OANDA:XAUUSDLong
by Ryan_TitanTrader
Elliott Wave Analysis XAUUSD – 25/11/2025 1. Momentum D1 D1 momentum has entered the overbought zone and is showing early signs of reversal. This indicates the current bullish leg is weakening. Today or tomorrow, if a strong bearish D1 candle appears, it will likely confirm the reversal. H4 H4 momentum is also in the overbought zone, with the lines sticking tightly together — a typical sign that a reversal could happen at any moment. Once we see a bearish H4 candle close, we can consider the current high as a potential top. H1 H1 momentum is currently in the oversold zone and preparing to turn upward. This means price may still show one more short-term bullish correction or move sideways before any meaningful decline. ________________________________________ 2. Wave Structure D1 Yesterday’s bullish daily candle did not change the D1 wave count. We are still in the Y wave (purple). However, one critical point needs attention: • D1 momentum is already overbought. • When D1 momentum rolls over, what we want to see is: o Price failing to break the current X-wave high, and o A strong, sharp decline to complete wave Y. If price does not decline sharply as expected, the market may shift into a more complex corrective structure — such as a triangle or a larger WXY formation. I will update the count if that scenario develops. ________________________________________ H4 Yesterday’s bullish move broke above the previous wave (2) high. This invalidates the 5-wave scenario and confirms that the structure is instead forming a 3-wave corrective pattern. With H4 momentum turning down and D1 momentum already overbought, the current price region is highly likely to be the top of wave 2. ________________________________________ H1 A clear 3-wave ABC corrective pattern has completed. Wave C (blue) now reaches the target area around 4158, making this a very attractive region to look for Sell entries. However, keep in mind: • H1 momentum is in the oversold zone and preparing to turn upward. • This suggests price may still push slightly higher or move sideways before H1 reaches the overbought zone. The best Sell timing will be when H1 and H4 momentum align together in overbought zones. ________________________________________ 3. Key Liquidity Zones Two important liquidity areas lie ahead: • 4143 • 4184 If price holds above 4143, the probability of reaching 4184 increases — especially with H1 momentum turning upward. Because H1 momentum is about to rise, it is difficult to find a precise Sell entry at 4143–4158–4184 without waiting for a clear price reaction. The safest approach is to wait for bearish confirmation signals at each zone. For my personal plan: • First attempt to catch the top with a small position at 4158. • Second attempt at 4184 if price extends further. ________________________________________ 4. Trade Plan 📌 Sell Zone 1 • 4156 – 4158 • SL: 4168 • TP1: 4123 • TP2: 4081 • TP3: 4020 📌 Sell Zone 2 • 4184 – 4185 • SL: 4205 • TP1: 4123 • TP2: 4081 • TP3: 4020
OANDA:XAUUSDShort
by WavePoint_FX
BTCUSD: Overbought Rally Approaches Strong Support ZoneBINANCE:BTCUSD is nearing a crucial support zone, one where buyers have consistently stepped in before and sparked significant reversals. This price history alone makes this level incredibly important to watch closely. Price is approaching this zone once more, and the current market structure suggests potential for a bullish move if we see signs of rejection, such as a strong bullish engulfing candle, long lower wicks indicating absorption of selling pressure, or an uptick in buying volume. If this support holds, I anticipate price will push towards the 98,700 area, fitting well with a short-term rebound scenario. However, if price breaks through this support and remains below it, the bullish thesis will be invalidated, opening up the possibility for a deeper pullback. The best approach here is to wait for confirmation from the chart. Pay attention to how candles close, how volume behaves, and only consider long positions if the market defends this support level clearly. Solid risk management is key: position sizing, stop loss placement, and invalidation levels should always be aligned with the volatility that could arise around such a critical area. This is just my personal view on the current support and resistance structure, not financial advice. Always do your own research and trade with a well-structured risk management plan. Best of luck out there!
BINANCE:BTCUSDLong
by LauraCharts
Bank Nifty — Wave 5 Meets 100% Extension ResistanceBank Nifty completed its five-wave rise with Wave 5 ending exactly at the 100% Fibonacci extension of Wave 1 , a classic termination level when Wave 3 is extended. Inside this zone, price printed a Hanging Man followed by a bearish confirmation candle . The confirmation is not strong, but together with the Fibonacci symmetry at the Wave-5 target, it reflects clear exhaustion. A corrective phase from this region is reasonable. A strong reclaim above the recent high would invalidate the exhaustion and reopen the upside. Disclaimer : This analysis is for educational purposes only and does not constitute investment advice. Please do your own research (DYOR) before making any trading decisions.
NSE:BANKNIFTYShort
by WaveXplorer
NZDUSD - Mandelbrot Theorem 1:7 RRSome properties of the Mandelbrot set This section summons some properties of the Mandelbrot set first without proof, then some statements are proved. Theorem 3 (Symmetry) The Mandelbrot set is symmetric with respect to the real axis. This means, if a complex number $ z$ belongs to the mandelbrot set then this is also true for the conjigate complex number $ \bar z$. (You can see this symmetry in Figure 3) Theorem 4 (Boundary) The Mandelbrot set is bounded. You can easily proove, thet the set must lie in the interior of the circle $ \vert z \vert = 2$. (Also see Figure 3) Theorem 5 (Itself-Similarity) The Mandelbrot set is itself similar in a non exact sense.
by KaniSivan