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Trend Line Break

Part 7 Trading Master Class With Experts Non-Directional Strategies Used when markets are expected to be sideways or volatile. 1. Straddle (Buy Call + Buy Put) Profit from high volatility in any direction. 2. Strangle Cheaper version of straddle, using OTM options. 3. Iron Condor Sell OTM call and put spreads. Used for stable markets to earn premium. 4. Butterfly Spread Low-cost strategy for low volatility expectations. These strategies help traders benefit from volatility, time decay, and neutral price movements.
CRYPTO:BTCUSDEducation
by SkyTradingZone
Gold is stuck in a wide range, ready for a decisive break.Good evening traders, Brian here with a fresh look at gold on the 2-hour chart. Price is compressing in a broad sideways range, building energy for the next leg – the break from this structure will set the tone for the coming sessions. Fundamental analysis The core driver remains the Fed’s December decision. The market is effectively split on whether we see a cut or a delay: A camp of institutions argues that rising unemployment and softer data could still justify a 25-basis-point cut in December, keeping pressure on the dollar and supporting gold on dips. Others point out that the Fed is short of clean, up-to-date data and may prefer to wait until next year before committing to an easing cycle. As a result, pricing for a December cut is roughly “fifty–fifty” and highly sensitive to the next run of labour-market and activity data. In short: the macro backdrop is undecided, so intraday direction will be driven mainly by levels and liquidity until the next data catalyst hits. Technical analysis On the H2 chart, gold is in a broad consolidation after the recent sell-off: Price is trading inside a descending structure, repeatedly respecting the short-term trendline from the recent high. The Fibonacci retracement of the latest impulse shows the 0.382 level lining up with a prior fair-value gap and horizontal resistance – this forms a key rejection zone overhead. Below price, there is a confluence of support where the rising trendline meets a small bullish FVG around 4027–4029, followed by a more important horizontal support band near 3998. The volume profile highlights a Value Area High (VAH) around 4075–4080, which is likely to act as a reaction zone if price rotates back into it. Until we break convincingly out of this structure, I treat it as a large accumulation range with a slight downside bias: sellers are still defending lower highs, but buyers are stepping in aggressively at trendline support. Key levels Resistance zones: 4080–4085 (VAH / short-term supply) 4135–4145 (Fibonacci 0.382 + FVG + structural resistance) Support zones: 4027–4029 (trendline + FVG confluence buy area) 3995–4000 (important horizontal support) 3940 region (deeper support if the range finally breaks down) Trade scenarios 1. Primary long – buy the trendline/FVG confluence Entry: 4027–4029 Stop: 4023 Targets: 4035 – 4050 – 4068 – 4080 Idea: look for price to react at the rising trendline where it overlaps with the small FVG. A clean rejection candle or shift in intraday order flow from that zone sets up a rotation back towards the VAH and potentially the upper boundary of the range. 2. Break-and-retest short – if the trendline fails Trigger: clear H1/H2 close below the rising trendline and the 4027 area Plan: wait for price to retest the underside of the broken trendline / prior support Entry: on rejection of that retest Initial targets: 4000, then 3940 if momentum accelerates This scenario treats any breakdown as a structural shift, using the retest as a lower-risk point to join the move rather than chasing the first leg. 3. Intraday scalp zones These are discretionary, short-term opportunities for active traders: Reaction sells: around 4085, and higher up if we spike into the 4135–4145 resistance band. Look for exhaustion or rejection patterns back into the range (potential targets 4060 then 4033). Reaction buys: into 3998–4000 if we see a liquidity sweep below the current range, with tight stops and quick profit-taking back towards the mid-range.
OANDA:XAUUSDLong
by BrianLionCapital
Part 4 Learn Institutional Trading Option Pricing Concepts (Greeks) Option pricing models use various mathematical tools called Greeks: 1. Delta Measures how much an option's price moves with the underlying asset. Call delta: 0 to 1 Put delta: 0 to –1 2. Theta Measures time decay—how much premium decreases daily. 3. Vega Measures sensitivity to volatility. 4. Gamma Indicates how delta changes as the underlying moves. These Greeks help traders understand risk and adjust their strategies.
FOREXCOM:XAUUSDEducation
by SkyTradingZone
Part 3 Learn Institutional Trading 1. Option Buying Risks High time decay Entire premium can be lost Low probability of profit if market does not move fast 2. Option Selling Risks Unlimited loss potential Requires high margin Needs strong risk management skills 3. Volatility Risk Changes in implied volatility affect premium prices. 4. Liquidity Risk Low liquidity leads to poor fill prices. 5. Emotional Risk Options move fast, causing psychological stress for beginners. Thus, risk management, position sizing, and discipline are essential.
NSE:INFYEducation
by SkyTradingZone
Candle Patterns Candlestick patterns are one of the most widely used tools in technical analysis. Originating from 17th-century Japanese rice trading, they provide visual information about market psychology, price momentum, and potential trend reversals. Each candlestick represents price movement during a specific time period—whether 1 minute, 1 hour, 1 day, or more. By studying candlestick patterns, traders try to anticipate whether buyers or sellers are gaining control and what the next move might be. A candlestick consists of four key data points: open, high, low, and close. The body of the candle reflects the distance between the open and close, while the wicks (also called shadows) indicate the highs and lows. A bullish candle typically closes higher than it opens, while a bearish candle closes lower. When these candles form specific shapes or sequences, they become candlestick patterns. Candlestick patterns fall into three major categories: bullish reversal, bearish reversal, and continuation patterns. Understanding each helps traders identify potential turning points and trend confirmations.
NSE:TATASTEELEducation
by TechnicalExpress
Premium Chart Pattern Understanding Chart Patterns Every chart pattern represents crowd psychology—fear, greed, uncertainty, accumulation, or distribution. Institutional traders leave their footprint on charts, and patterns help retail traders align with their moves. Patterns are formed across all time frames: 1-minute charts for scalping 5–15 minutes for intraday 1 hour for swing trading Daily/weekly charts for positional trading The bigger the time frame, the more reliable the pattern.
NSE:BANKNIFTYEducation
by TechnicalExpress
TRIDENT 1 Month Time Frame ✅ What we see Fundamentals Current price ~ ₹28.38. Market cap ~ ₹14,462 cr, P/E ~32.8×, P/B ~3.15×. ROE quite low (~8-10% range) and growth over past years has been muted. 52-week high ~ ₹40.20, 52-week low ~ ₹23.11. Recent quarterly figures: sales up modestly; profits under pressure. Technical / Price context The share is nearer to its 52-week low than high, which may offer perceived value to some. Some moving-average crossovers (per reports) flagged “sell signals” in short term. Short-term return in past month has been very small (~0.64% 1-month return).
NSE:TRIDENTLong
by Knowledgehub
Smart Loss Management Guide in the Trading Market1. Why Loss Management Is More Important Than Profit-Making Most new traders focus on making money and ignore risk control. But experienced traders know that your downside determines your survival. If capital is destroyed early, even a good trading system cannot help. Here’s why loss management matters: Capital Preservation: If you lose 50% of your account, you need a 100% gain to recover. Avoiding deep drawdowns is essential. Consistency Over Luck: A trader with average profits but disciplined risk control will outperform an aggressive trader without rules. Uncertainty of Markets: Even the best strategies have losing streaks. Smart loss management keeps you disciplined during uncertain phases. Simply put, losing small and winning medium-to-large is the essence of profitable trading. 2. Key Principles of Smart Loss Management 2.1 Risk Per Trade Rule Professional traders follow a simple rule: Risk only 1–2% of trading capital per trade. This ensures that even after 10 losing trades in a row, your capital stays strong. A 1% rule means: If your capital = ₹1,00,000 Max loss per trade = ₹1,000 This protects you from emotional decisions and ensures controlled drawdowns. 2.2 Position Sizing Position size determines how much quantity you buy or sell. It must be based on: Stop-loss distance Capital Risk per trade percentage Formula: Position Size = Risk Amount / Stop-Loss Distance Example: Capital = ₹1,00,000 Risk per trade = 1% = ₹1,000 Stop-loss = 5 points Position size = 1000 / 5 = 200 quantity This keeps your risk uniform across trades. 2.3 Placing Effective Stop-Loss Orders Not all stop-losses are equal. Smart traders use: Technical stop-loss: based on chart levels (support, resistance, swing high/low). Volatility-based stop-loss: dynamic stops using ATR (Average True Range). Time-based stop-loss: exit if trade doesn’t work within a fixed time window. Avoid placing stops too close, which results in premature exits. 2.4 Avoiding Averaging Down Many traders double their position when price goes against them thinking it will “bounce back”. This is dangerous. Averaging down increases exposure when your analysis is already wrong. Professional traders do the opposite—they scale out or exit. 2.5 Maintain Reward-to-Risk Ratio Every trade must have a minimum Risk-to-Reward (RR) ratio of 1:2 or 1:3. Example: If risk = ₹1,000 Target should be ₹2,000 or ₹3,000 This ensures that even with a 40% win rate, you remain profitable. 3. Psychological Pillars of Smart Loss Management Market losses are emotionally painful. Most poor decisions come from emotions like fear, hope, greed, and frustration. Smart traders master the psychology of loss. 3.1 Accept That Losses Are Normal Every trader—beginner or expert—has losing trades. Accepting losses helps: Reduce revenge trading Maintain discipline Focus on process, not outcome 3.2 Don’t Take Losses Personally A losing trade is not a failure of your personality. It is simply part of the game. Traders who attach ego to trades often avoid closing losing positions, leading to bigger losses. 3.3 Control Overtrading After a loss, many traders try to recover immediately. This emotional urge leads to irrational decisions. Smart loss management requires: Stop trading after big loss Follow pre-defined trade limits Reset emotionally before next trade 3.4 Develop Emotional Discipline The best loss management tool is self-control. This includes: Sticking to stop-loss Avoiding impulsive orders Following a checklist before entering trades Discipline converts a strategy into consistent profits. 4. Techniques for Smart Loss Management 4.1 Use Trailing Stop-Loss Trailing stops help protect profits as the trade moves in your favor. For example: If trade goes 20 points up, move stop-loss to breakeven If trade goes 40 points up, trail stop to +20 This locks in gains and avoids giving back profits. 4.2 Hedging Positions Advanced traders use hedging techniques like: Options hedging (buying puts to protect long positions) Futures hedging Ratio spreads Hedging reduces the impact of sudden volatility or news events. 4.3 Diversify Trades Avoid putting all your capital into one trade or one sector. Diversification ensures: Reduced exposure Stable overall performance Lower emotional pressure But don't over-diversify; focus on 4–8 quality trades. 4.4 Use a Daily Loss Limit Set a maximum daily loss that stops you from trading further. Example: Daily Max Loss = 3% of capital If you hit that limit, stop trading for the day. This prevents emotional breakdowns and unnecessary revenge trades. 4.5 Create a Trading Journal Record: Entry and exit Stop-loss Reason for trade Emotional state Reviewing your journal reveals patterns, mistakes, and ways to refine your strategy. 5. Common Mistakes to Avoid 5.1 Moving Stop-Loss Further Away Traders sometimes shift stop-loss thinking the market will reverse. This is a mistake. A stop-loss must be respected at all times. 5.2 Trading Without a Defined Exit A trade without a clear exit strategy becomes a gamble. Smart traders pre-plan both stop-loss and target. 5.3 Ignoring Market Conditions A strategy that works in trending markets may fail in sideways markets. Loss management includes reducing position size during choppy or news-heavy environments. 5.4 Emotions-Based Position Sizing Increasing lot size after a win or reducing after a loss emotionally disturbs risk management. Position size must always be formula-based. 6. Building Your Smart Loss Management System Step 1: Define Your Risk Rules Risk per trade, daily loss limit, maximum open trades. Step 2: Create Position Sizing Formula Based on stop-loss distance and capital. Step 3: Pre-Plan Stop-Loss Levels Technical, volatility-based, or time-based. Step 4: Maintain a Journal Track mistakes, patterns, and improvements. Step 5: Maintain Emotional Discipline Follow rules no matter what the market does. 7. Conclusion Smart loss management is the foundation of profitable trading. Markets reward discipline, not emotion. By controlling risk, using effective stop-loss techniques, maintaining psychological discipline, and applying structured methods, traders protect their capital and grow consistently over time. Every successful trader understands that losses are unavoidable, but big losses are preventable. With a strong loss management system, you turn volatility from a threat into an opportunity and ensure you remain a long-term player in financial markets.
NSE:HDFCBANKEducation
by TechnicalExpress
Index Rebalancing Impact1. Why Index Rebalancing Happens Indices are meant to represent a particular segment of the market. Over time, however: Some companies grow while others shrink. Market capitalizations change. New leaders emerge in sectors. Corporate actions (mergers, delistings, bankruptcies) occur. Market liquidity and trading patterns evolve. To maintain accuracy and credibility, index providers periodically evaluate components based on criteria such as: Free-float market capitalization Liquidity (trading volumes and turnover) Sector representation Corporate governance and regulatory compliance Financial performance Rebalancing ensures that the index remains aligned with the current structure and performance of the market. 2. How Rebalancing Works The rebalancing process typically includes: a. Announcement Phase Index providers (NSE Indices, MSCI, FTSE Russell, S&P Dow Jones) release the final list of changes ahead of implementation, typically 2–4 weeks in advance. This gives institutional investors time to prepare. b. Execution Day On the official rebalancing date—often coinciding with the end of a quarter—index funds and ETFs must: Buy stocks that are being added. Sell stocks that are being removed. Adjust weightings for stocks that remain but whose weight has changed. This creates heightened trading activity, especially in the closing session (closing auction window). c. Post-Rebalance Adjustment Stocks may continue to adjust over the next few sessions as traders reposition and arbitrage strategies unwind. 3. Impact of Index Rebalancing A. Price Impact on Stocks Being Added When a stock is added to a major index: Index funds buy the stock, leading to strong demand. Prices often surge in the short term (known as the index inclusion effect). Liquidity improves due to higher institutional participation. Valuations may rise as more ETFs and passive funds accumulate holdings. This effect is especially pronounced in indices with large passive following such as Nifty 50, S&P 500, or MSCI Emerging Markets. However, this rise may be temporary—after the initial bounce, prices may stabilize or even decline as speculative traders exit. B. Price Impact on Stocks Being Removed Stocks removed from the index face: Forced selling by index funds. Immediate drop in price due to excess supply. Reduced liquidity as passive funds exit. Potential long-term decline in visibility and analyst coverage. This is called the index deletion effect and can significantly hurt sentiment. C. Impact on Index Levels Rebalancing can change: Sector weights (e.g., financials vs. IT) Market-cap distribution Risk and volatility characteristics If high-weight stocks are added or removed, the impact on the overall index value can be sizeable. D. Impact on Trading Volumes and Liquidity Rebalancing typically results in: Surge in trading volumes, especially in the last hour. Increased delivery-based buying from funds. Temporary widening of spreads due to volatility. Short-term liquidity mismatches, particularly in mid-cap or small-cap rebalancing. Index rebalancing days are often among the highest volume days of the year. E. Impact on ETFs and Passive Funds Passive funds must replicate the index exactly. Rebalancing forces: High turnover in ETF portfolios. Transaction costs, which may be passed on to investors. Tracking error risks if markets are too volatile on rebalancing day. This mechanical trading adds to price distortions. F. Impact on Derivatives Markets Index rebalancing impacts: Nifty Futures and options due to hedging adjustments. Volatility around expiry, especially if rebalancing coincides with derivatives expiry. Straddle and strangle traders who position based on anticipated price swings. Quant traders and arbitrage desks particularly exploit these windows. G. Impact on Market Sentiment Inclusion in a major index is often seen as: A sign of strong fundamentals. Higher institutional confidence. Better corporate governance. Removal, on the other hand: Signals deterioration. May reduce analyst and investor focus. 4. Who Benefits from Index Rebalancing? i. Short-Term Traders They profit from: Price surges in stocks being added. Price drops in stocks being removed. Volatility spikes on execution day. High-frequency traders (HFTs) and algorithmic funds dominate this space. ii. Arbitrageurs They exploit price inefficiencies created by: Temporary demand-supply imbalance. Tracking errors in ETFs. Lag between announcement and execution. iii. Corporates Being added to an index increases visibility and prestige, potentially lowering cost of capital. 5. Risks and Challenges of Index Rebalancing a. Excess Volatility Prices swing sharply on announcement day and execution day, often unrelated to fundamentals. b. Temporary Distortions Stocks may become: Overvalued after inclusion. Undervalued after exclusion. These distortions eventually normalize but create risk for traders. c. Market Manipulation or Speculation Some traders attempt to anticipate rebalancing outcomes, leading to front-running—buying in advance of the official announcement. d. Overdependence on Indexing As passive investing grows, mechanical buying/selling can destabilize markets during rebalances. 6. Global vs. Local Impacts MSCI Rebalancing: impacts global flows in emerging markets including India. Nifty/Sensex Rebalancing: impacts domestic flows. Sectoral Index Rebalancing: affects specific industries. Global indices often cause bigger price swings due to foreign fund flows. Conclusion Index rebalancing is a critical process in ensuring that stock market indices remain accurate and relevant. While it may seem purely technical, its impact is widespread—from stock price movements and liquidity changes to investor sentiment and fund flows. For traders, rebalancing events offer opportunities to capitalize on predictable demand patterns, but they also come with significant volatility-related risks. For long-term investors, while the day-to-day swings may not matter much, understanding how rebalancing works can help explain sudden price movements and shifts in market dynamics. Overall, index rebalancing reinforces the efficiency and representativeness of financial markets, but it also introduces short-term inefficiencies that active participants can exploit.
Education
by TechnicalExpress
Nifty & Bank Nifty Options Trading1. Understanding Nifty & Bank Nifty as Option Underlyings Nifty 50 A diversified index covering 13 sectors, representing India’s overall equity market. Lower volatility compared to Bank Nifty Stable and predictable movements Preferred by positional traders and institutional hedgers Bank Nifty Composed of major banking stocks, highly sensitive to interest rates, RBI actions, liquidity flows, and global banking events. Extremely high volatility Fast intraday swings (frequently 300–700 points in a day) Preferred by aggressive intraday option buyers and advanced traders Liquidity in both instruments is extremely high, making them ideal for buying and selling options. 2. How Index Options Work Option Types You deal with two primary instruments: Call Options (CE) – You profit when the index goes up Put Options (PE) – You profit when the index goes down Expiry Cycles Both Nifty and Bank Nifty have: Weekly expiry Monthly expiry Quarterly (some strikes) Bank Nifty earlier had only weekly expiry on Thursday, but now expiries rotate due to SEBI’s rules. Nifty expires every Thursday as usual (unless it is a trading holiday). Lot Sizes Nifty lot size: typically 50 units Bank Nifty lot size: typically 15 units (These vary slightly during periodic revisions.) 3. Pricing Dynamics: Why Option Premiums Move Option premiums are governed by: i. Intrinsic Value The real, quantifiable value. CE intrinsic value = Spot price – Strike PE intrinsic value = Strike – Spot ii. Time Value (Theta) Time value decreases as expiry comes closer. Buyers get hurt by theta decay Sellers benefit from theta decay Bank Nifty has rapid intraday time decay, so sellers often dominate. iii. Volatility (Vega) Bank Nifty has higher volatility, meaning: Higher premiums Larger impact of news Bigger risk and reward potential iv. Delta Measures how quickly the premium moves with respect to the index. Example: Delta 0.50 → Option moves 50% of index move ATM options typically have delta ~0.5 Bank Nifty deltas shift faster due to rapid price movement. 4. Why Nifty & Bank Nifty Are Perfect for Options Trading 1. Deep liquidity Instant order execution, tight spreads. 2. Weekly expiries Fast premium decay → perfect for option sellers Low cost → attractive for option buyers 3. High volatility (Bank Nifty) Good for intraday scalping. 4. Large participation FIIs, DIIs, proprietary desks, retail traders provide continuous order flow. 5. Common Trading Styles A. Option Buying Best for: Trending markets Breakout strategies Intraday volatility plays Pros: Limited risk (premium paid) High returns when market trends strongly Cons: Theta decay kills slow markets Needs precise timing and direction Bank Nifty is favored by buyers due to sudden moves. B. Option Selling Best for: Range-bound markets High probability income Weekly expiry trading Pros: Higher win-rate Time decay works in seller’s favor Cons: Potential for large losses if market trends Must use hedging Nifty is preferred by conservative sellers due to calmer moves. Bank Nifty selling is profitable but demands skill and hedging discipline. 6. Key Strategies Used in Nifty & Bank Nifty 1. ATM/ITM Scalping (Intraday) Used for 1–3 minute charts. Buyers use fast entries on breakouts; sellers sell on reversals. 2. Straddles Sell ATM CE + ATM PE. Ideal when expecting low volatility. Highly used on: Expiry days Fridays in monthly series 3. Strangles Sell OTM CE + OTM PE. Safer than straddles, with wider breathing space. 4. Credit Spreads Bear call spread Bull put spread Controlled-risk selling strategies. 5. Iron Condor For sideways markets with limited risk. 6. Directional Option Buying Buyers typically look for: Trendline breakouts VWAP bounces CPR (Central Pivot Range) breakout Previous day high/low rejection Bank Nifty gives the best directional follow-through. 7. Hedge-Based Positional Trades Nifty traders often hold: Bull Call Spreads Bear Put Spreads Calendar spreads for monthly swings. 7. Expiry Day Dynamics Expiry days (especially Thursday) are unique: For Nifty & Bank Nifty Accelerated theta decay Frequent stop-hunt wicks Sudden option premium collapse Wild moves in the last 30 minutes Scalpers thrive; beginners get trapped. Option selling is usually profitable on expiry days, but only if: You hedge You manage risk You avoid naked selling Option buying works only during big directional moves or volatility spikes. 8. Risk Management (Non-Negotiable) Without risk management, Nifty & Bank Nifty options will punish you. Follow these guidelines: 1. Use Stop-Loss Always Options move insanely fast. Bank Nifty can wipe out capital in minutes. 2. Never Sell Naked Options Unhedged selling can cause large losses. 3. Control Position Size Risk per trade should not exceed: 1–2% of capital (positional) 0.5–1% (intraday) 4. Avoid Overtrading Chasing every move is a losing habit. 5. Understand News Events Avoid trading near: RBI policy Budget FOMC Inflation data Major geopolitical news These events create sudden spikes. 9. Psychological Discipline Options trading is 70% psychology. Don’t chase runaway premiums Don’t revenge trade Don’t hold losing trades hoping they “come back” Don’t keep adding to a losing position If you can stay calm during fast index swings, you will trade better than most participants. 10. Final Practical Advice I’ll be direct with you—Nifty & Bank Nifty options can help you grow your capital fast only if you learn structured trading. Otherwise, they can drain your account. Here’s the right mindset: Learn the basics thoroughly Trade small and build skill Specialize in one or two strategies Stick to charts, not emotions Think like a risk manager first, trader second If you invest time in practice and discipline, index options can become your strongest trading edge.
NSE:MCXEducation
by TechnicalExpress
BUY TODAY SELL TOMORROW for 5%DON’T HAVE TIME TO MANAGE YOUR TRADES? - Take BTST trades at 3:25 pm every day - Try to exit by taking 4-7% profit of each trade - SL can also be maintained as closing below the low of the breakout candle Now, why do I prefer BTST over swing trades? The primary reason is that I have observed that 90% of the stocks give most of the movement in just 1-2 days and the rest of the time they either consolidate or fall Trendline Support in DCMSHRIRAM BUY TODAY SELL TOMORROW for 5%
NSE:DCMSHRIRAM
by Kapil-Mittal
2
Bitcoin is in a clean daily downtrend right nowBitcoin is in a clean daily downtrend right now – every bounce is just providing fuel for the next leg until the structure says otherwise. Good evening traders, Brian here with a higher-timeframe look at BTCUSD. Fundamental analysis Bitcoin has been under sustained pressure even as some funds continue to accumulate spot positions. A few key points: Macro uncertainty and tighter dollar liquidity are weighing on high-beta assets. While gold has held up relatively well, the performance gap between BTC and XAU has been widening in recent weeks, highlighting a clear risk-off tone towards crypto. On-chain and fund flows suggest that a number of crypto investors are actually de-risking and pulling capital out, which reduces market depth and makes downside moves more violent when liquidity is thin. Narrative is still mixed: long-term holders and some institutions are happy to buy lower, but in the short term the order flow is dominated by forced selling, deleveraging and risk reduction. Bottom line: the macro backdrop does not yet justify an aggressive “buy the dip” approach on BTC. Trend-following shorts remain safer than trying to call the bottom. Technical analysis Daily structure is clearly bearish: We have a confirmed market structure shift on the left of the chart, with the prior higher-low support broken and a series of decisive lower lows since then. The main bullish trendline from earlier in the year has given way, and price is now travelling within a steep descending leg. BTC recently tagged the 1.618 Fibonacci extension of the last major swing, aligning with a prior liquidity pocket. That produced a sharp intraday bounce, but so far it looks like a reaction inside a downtrend, not a full reversal. Around 75.4k we have an important daily support zone. If this level is broken and accepted below, it opens the door to a deeper flush towards the next large support band lower on the chart. Overhead, there is a clean imbalance/FVG and prior distribution area around 108k, with an intermediate resistance block around 96–97k and a nearer supply zone around 88k. These are prime locations to look for fresh shorts if price retraces. For now my bias is simple: look to sell rallies into premium levels; any longs are tactical, short-term trades off key support only. Key levels Resistance / short zones: 88,000 – first reaction zone, “pay attention to the reaction” 96,500–97,200 – main short entry area for medium-term positions 108,000 – higher FVG / major daily supply Support / long-only intraday zones: 75,400 – key support + 1.618 Fib/liquidity zone 74,000–72,000 – deeper support if 75.4k fails Trade scenarios (for reference, not financial advice) 1. Short the first meaningful pullback – 88k area Entry: 88,000 Stop: 90,000 (above local structure) Targets: 82,000 → 78,000 → 75,500 Idea: treat 88k as the first supply zone in a downtrend. If price bounces from current levels and stalls here, I’m looking for rejection (wick rejections, failed break, or a clear shift in intraday structure) to join the trend. Once price moves in favour, I would look to pull the stop to breakeven and let the position run. 2. Core swing short – 96.5k–97.2k zone Entry: 96,500–97,200 Stop: 99,000 Targets: 88,000 → 82,000 → 75,500 This is my preferred “medium-term” sell area. It aligns with a more significant daily supply block and offers better risk–reward if the larger bearish leg continues. Any squeeze into this region after a series of lower lows is, in my view, a controlled opportunity to reload shorts. 3. Tactical long only at deep support Entry: 75,400–74,800 Stop: 73,800 Targets: 82,000 → 88,000 Here I would only consider a short-term long if we see a clean liquidity sweep into the 1.618 extension and strong rejection (long lower wicks, aggressive buy-back). The idea is simply to trade the bounce back into resistance, not to fight the higher-timeframe downtrend. If BTC loses 75.4k and starts closing below it on the daily, I would become much more cautious on any long exposure and focus almost entirely on short setups towards the lower “important support” zone on the chart. Trade with the trend, respect your risk, and don’t get trapped trying to be a hero at the bottom of a falling market. If this BTC breakdown adds value to your plan, make sure you follow Brian for more daily BTC and gold analysis, and share your own view in the comments so we can compare scenarios.
BINANCE:BTCUSDShort
by BrianLionCapital
NBCC 1 Day Time Frame 📊 Key numbers Current trading range (today): ~ ₹112.87 (low) to ₹115.50 (high) on the NSE. Previous close: ~ ₹115.99. 52-week range: ~ ₹70.80 (low) to ~ ₹130.70 (high). Valuation / fundamentals: P/E ~50.9x, P/B ~11.72x. ⚠️ Important disclaimers These levels are based on publicly available intraday ranges and technical observations — not guaranteed. Market conditions (volume, news, macro events) can shift levels rapidly. I’m not providing personalized financial advice. You should cross-check live charts, use proper risk management, and adapt to your trading style. For longer-term trends (beyond 1 day) you’d want to consult moving averages, trend lines, daily/weekly charts etc.
NSE:NBCCLong
by Knowledgehub
TVSMOTOR 1 Day Time Frame 📌 Key levels (approximate) Pivot (classic) for recent day: around ₹ 3,408.73. Resistance levels: R1 ≈ ₹ 3,448.47 R2 ≈ ₹ 3,510.43 R3 ≈ ₹ 3,550.17 Support levels: S1 ≈ ₹ 3,346.77 S2 ≈ ₹ 3,307.03 S3 ≈ ₹ 3,245.07 🎯 What to watch for possible trade decisions Bullish scenario: If price breaks above the pivot (~₹3,409) and holds above R1 (~₹3,448), a move toward R2 (~₹3,510) or higher may be possible. Bearish scenario: A break below S1 (~₹3,347) could open risk toward S2 (~₹3,307) or S3 (~₹3,245). Neutral/Ranging: The stock may also trade between ~₹3,347 and ~₹3,448 while the trend remains unclear.
NSE:TVSMOTORLong
by Knowledgehub