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NIFTY Intraday Trade Setup For 30 Dec 2025NIFTY Intraday Trade Setup For 30 Dec 2025 Bullish-Above 26050 Invalid-Below 26000 T- 26260 Bearish-Below 25900 Invalid-Above 25950 T- 25650 We discussed that index may test 25900 below 26110, triggered and reached. Last week a shooting star candle has been formed in weekly TF. Now below 25900 index may extend the move till 25650. Bullish move can be seen if index sustains above 26050. 50 EMA in daily TF can be a confluence zone, break of which will trigger a short term bearishness in overall market. Plan the view on 15 Min candle close. I am Not SEBI Registered This is my personal analysis for my personal trading. Kindly consult your financial advisor before taking any actions based on this.
NSE:NIFTY
by Omahto
1
Open Interest Chain Analysis: Guidence for Traders and InvestorsUnderstanding Open Interest Open interest refers to the total number of outstanding derivative contracts—options or futures—that are currently open and not yet settled or closed. In options trading, open interest is calculated separately for each strike price and for calls and puts. It increases when new contracts are created (new buyer and new seller) and decreases when contracts are closed or expire. Importantly, open interest does not indicate direction by itself; instead, it shows participation and commitment at specific price levels. What Is an Option Chain? An option chain is a structured list of all available option contracts for a given underlying asset. It includes strike prices, expiration dates, call and put options, premiums, volume, implied volatility, and open interest. The option chain is essentially a snapshot of market positioning. By studying how open interest is distributed across strike prices, traders can infer where the market expects price consolidation, breakout, or reversal. Importance of Open Interest Chain Analysis Open interest chain analysis goes beyond simple price-based trading. It reveals hidden layers of market behavior. Large open interest at specific strikes often indicates institutional involvement, as big players hedge or build strategies around key price levels. These levels frequently act as strong support or resistance zones. By understanding OI dynamics, traders can align their trades with dominant market forces rather than trading purely on speculation. Call Open Interest Analysis Call options represent bullish expectations or hedging against upside movement. High call open interest at a particular strike suggests that many traders expect the price to stay below or move toward that level, depending on the strategy used. For example, if a stock is trading at 1,000 and the highest call OI is at 1,050, it often acts as a resistance zone. Call writers (sellers) usually want the price to remain below their strike so that options expire worthless. Therefore, heavy call OI can indicate a ceiling for price movement in the short term. Changes in call open interest are equally important. Rising call OI along with rising prices typically indicates bullish build-up, suggesting fresh long positions. However, rising call OI with falling prices may signal short build-up, which is bearish. Thus, OI must always be interpreted in combination with price action. Put Open Interest Analysis Put options are associated with bearish expectations or downside protection. High put open interest at a specific strike often acts as a support level. For instance, if the maximum put OI is at 950 while the stock trades at 1,000, that level may serve as strong support. Put sellers expect the price to stay above their strike, reinforcing that zone. Similar to calls, changes in put open interest matter. Rising put OI with falling prices indicates bearish build-up, while rising put OI with rising prices can suggest bullish sentiment due to short covering or protective hedging. Declining put OI may indicate profit booking or reduced fear in the market. Put-Call Open Interest Ratio (PCR) One of the most widely used indicators derived from OI chain analysis is the Put-Call Ratio (PCR). It is calculated by dividing total put open interest by total call open interest. A PCR above 1 indicates more puts than calls, often interpreted as bearish sentiment, while a PCR below 1 suggests bullish sentiment. However, extreme PCR values are often contrarian indicators. Very high PCR levels can signal excessive pessimism and potential market bottoms, while very low PCR values can indicate over-optimism and possible market tops. Identifying Support and Resistance One of the most practical applications of open interest chain analysis is identifying support and resistance levels. The strikes with the highest put OI generally act as support, while those with the highest call OI act as resistance. As the market approaches these levels, price movement may slow, reverse, or consolidate. Breakouts above call-heavy strikes or breakdowns below put-heavy strikes are often accompanied by rapid moves due to option unwinding and short covering. Open Interest Shifts and Trend Confirmation Tracking how open interest shifts over time is more valuable than looking at static data. If resistance shifts higher along with rising prices, it suggests a strong uptrend. Conversely, if support levels move lower with declining prices, it confirms a downtrend. Sudden unwinding of OI at key strikes can signal trend exhaustion or an upcoming breakout. Thus, dynamic analysis of OI provides early signals that price charts alone may not reveal. Role of Max Pain Theory Max Pain is the price level at which option buyers experience the maximum loss and option sellers gain the most at expiration. It is calculated based on total open interest across all strikes. Markets often gravitate toward the max pain level as expiration approaches, especially in range-bound conditions. While not always accurate, max pain is a useful reference point for short-term traders, particularly during weekly or monthly expiries. Combining OI Chain Analysis with Other Tools Open interest chain analysis is most effective when combined with technical indicators such as trendlines, moving averages, RSI, and volume analysis. For example, if technical charts show a breakout and OI data confirms call unwinding and put build-up, the breakout has higher reliability. Similarly, aligning OI signals with broader market sentiment, volatility indices, and macro news improves decision-making. Limitations of Open Interest Analysis Despite its advantages, open interest chain analysis has limitations. It does not reveal whether positions are bought or sold by hedgers or speculators. OI data is also backward-looking and may not capture sudden changes driven by news events. Additionally, misinterpretation of OI without price context can lead to incorrect conclusions. Therefore, it should never be used in isolation. Conclusion Open interest chain analysis is a cornerstone of professional options trading. It provides insight into market structure, institutional behavior, and potential price levels that are not visible through charts alone. By studying call and put open interest, tracking changes over time, and combining these insights with price action and technical analysis, traders can significantly enhance their market understanding. While it requires practice and discipline, mastering OI chain analysis equips traders with a powerful edge in navigating complex and dynamic financial markets.
NSE:BAJFINANCEEducation
by TechnicalExpress
1
BAJAJ‑AUTO 1 Day Time Frame 📊 Current Price Context (Approx) BAJAJ‑AUTO is trading around ₹9,070–₹9,220 intraday on NSE (day range roughly 9,025–9,235). 🔁 Daily Time Frame — Key Levels ➤ Immediate Resistance These are likely intraday upside barriers where price may stall: ₹9,124 – ₹9,149 — first resistance zone. ₹9,196 – ₹9,234 — stronger resistance / supply area. Above ~₹9,250–₹9,350 — breakout region (higher conviction range). ➤ Current Support Price levels where buyers may step in: ₹9,053 – ₹9,016 — near‑term support cluster. ₹8,981 – ₹8,882 — broader intra‑day support zone. Trendline / dynamic support ~₹8,850 – ₹8,900 — rising trend anchoring support. 📐 Pivot Levels (Indicative Guides) Useful for intraday direction bias: Pivot / central reference ~₹9,013 – ₹9,025 — current pivot zone. Above pivot → bullish bias; below pivot → bearish bias. 🧠 How to Use These Levels (Day Trading) Bullish scenario: Price holds above ₹9,050 and breaks ₹9,124–₹9,149, next target is ₹9,196–₹9,250. Bearish scenario: Failure below ₹9,016” may see slide to ₹8,900 support or lower. Breakout signal: A clean close above ₹9,250–₹9,350 suggests stronger intraday upside.
NSE:BAJAJ_AUTOLong
by Knowledgehub
1
DIXON 1 Week Time Frame 📉 Current Context The stock is trading near its 52-week low area (~₹11,700-₹12,000) and prices have been under pressure recently with weak momentum on daily and weekly charts. Technical indicators show bearish sentiment in the short term. 📊 Weekly Technical Levels (1-Week Range) 🔹 Immediate Support Levels 1. ₹11,903 – Immediate Weekly Support A key support for the upcoming week — if decisively broken, further downside could accelerate. 2. ₹11,479 – Secondary Support A deeper support zone below the first level, historically seen as a reaction area. 3. ₹10,708 – Major Lower Support Stronger long-term support if weakness intensifies — a break below here implies extended downtrend. 🔹 Resistance Levels 1. ₹13,098 – Immediate Weekly Resistance First meaningful upside barrier; a close above this signals short-term relief. 2. ₹13,869 – Major Weekly Resistance If price sustains above the first resistance, this is the next meaningful challenge. 3. Higher Zone: 13,800-14,000+ General overhead area where sellers may step in (also seen in other pivot/weekly structures). 📉 Short-Term Risk Indicators Technical oscillators and moving averages on daily/weekly remain weak/oversold — signaling bearish momentum, though oversold conditions can also lead to short bounces. Recent rebound attempts show the stock is still vulnerable unless clear upside breakout occurs. 📌 How Traders Use This Short-term longs may target ₹13,098 to ₹13,800 (with strict stops below ₹11,900). Short positions/continuation trades might aim for breakdown confirmation below ₹11,903, targeting ₹11,479 / ₹10,700. Weekly closes (not just intraday) above ₹13,098 or below ₹11,903 are stronger confirmations.
NSE:DIXONLong
by Knowledgehub
ATHERENERG 1 Day Time Frame 📌 Current Price (Daily) Live/Latest Price: Around ₹720–₹735 (varies slightly across data sources and latest session) — e.g., ~₹721–₹735 zone is recent trading area. 📈 Daily Pivot & Key Levels (Approximate, Updated Recently) These levels are calculated from recent price action and useful for intraday/day‑trading bias: ⚡ Central Pivot Point (Daily): ~ ₹701 📌 Support Levels: S1: ~ ₹693 S2: ~ ₹680 S3: ~ ₹671 📈 Resistance Levels: R1: ~ ₹715 R2: ~ ₹723 R3: ~ ₹736 (Note: Levels can shift slightly based on exact close price inputs) 🔍 How to Interpret These Levels Above Pivot (~701): Bullish bias for the day; buyers may target R1 → R2 → R3. Below Pivot: Signals possible weakness; support zones S1 → S2 → S3 may come into play on pullbacks. R1/R2 Zone (~715–723): Important resistance zone — price staying above can confirm strength. S1/S2 (~693–680): Key downside floors for intraday support. 🧠 Quick Daily Level Summary Level Price (Approx) Resistance 3 (R3) ~ ₹736 Resistance 2 (R2) ~ ₹723 Resistance 1 (R1) ~ ₹715 Pivot Point (PP) ~ ₹701 Support 1 (S1) ~ ₹693 Support 2 (S2) ~ ₹680 Support 3 (S3) ~ ₹671
NSE:ATHERENERGLong
by Knowledgehub
1
Geopolitical Risk: Understanding Its ImpactGeopolitical risk refers to the uncertainty and potential disruption arising from political, military, diplomatic, and strategic tensions between nations or regions. In an increasingly interconnected global economy, geopolitical developments in one part of the world can quickly transmit shocks across financial markets, trade flows, energy supplies, and investor sentiment. From armed conflicts and trade wars to sanctions, diplomatic standoffs, and regime changes, geopolitical risk has become a central factor shaping economic stability and market behavior. Nature and Sources of Geopolitical Risk Geopolitical risk emerges from a wide range of events and structural tensions. Traditional sources include wars, border disputes, and military confrontations. Modern geopolitical risks, however, extend beyond conventional warfare to include cyber conflicts, economic sanctions, resource nationalism, terrorism, and strategic competition between major powers. Trade disputes, tariffs, and technology bans—such as restrictions on semiconductors or telecommunications infrastructure—have added a new economic dimension to geopolitical tensions. Political instability within countries also contributes significantly to geopolitical risk. Changes in government, policy reversals, social unrest, or weak institutions can alter economic priorities and disrupt business environments. Elections in major economies, shifts toward protectionism, or the rise of populist movements can all trigger uncertainty in global markets. Additionally, geopolitical risk increasingly intersects with climate change, energy security, and access to critical resources such as rare earth metals, water, and food supplies. Transmission Channels to the Global Economy Geopolitical risk affects the global economy through multiple channels. One of the most immediate is trade disruption. Conflicts or sanctions can interrupt supply chains, raise transportation costs, and reduce the availability of key commodities. For example, tensions in major shipping routes or energy-producing regions can cause spikes in oil and gas prices, fueling inflation and increasing costs for businesses and consumers. Financial markets are highly sensitive to geopolitical developments. Heightened risk often leads to increased volatility as investors reassess growth prospects and corporate earnings. Equity markets may decline, particularly in sectors directly exposed to affected regions, while capital tends to flow toward perceived safe-haven assets such as gold, government bonds, or reserve currencies. Currency markets also react sharply, with capital outflows weakening currencies of countries perceived as high risk. Foreign direct investment (FDI) is another casualty of geopolitical uncertainty. Investors tend to delay or cancel long-term projects when political risks rise, reducing capital formation and slowing economic growth. Emerging markets are particularly vulnerable, as they often rely more heavily on foreign capital and exports. Over time, sustained geopolitical risk can lead to structural changes, including the reconfiguration of global supply chains and the reshoring or “friend-shoring” of production. Impact on Financial Markets Geopolitical risk influences asset prices, risk premiums, and investor behavior. Equity markets typically respond negatively to sudden escalations, especially when the outcome is uncertain. Defense-related and energy stocks may benefit during periods of heightened tension, while sectors such as tourism, aviation, and manufacturing often suffer. Bond markets usually experience a flight to safety during geopolitical crises, driving down yields on government securities of stable economies. Corporate bonds, particularly high-yield or emerging market debt, may see widening spreads as investors demand higher compensation for risk. Commodities are especially sensitive; oil, natural gas, and agricultural prices can surge due to supply fears, while precious metals like gold often rally as stores of value. Derivatives and volatility indices also reflect geopolitical stress. Implied volatility tends to rise as traders hedge against adverse outcomes. Options markets may price in larger potential price swings, signaling heightened uncertainty. For traders and investors, understanding these dynamics is essential for risk management and portfolio construction. Geopolitical Risk and Emerging Markets Emerging economies face disproportionate exposure to geopolitical risk due to weaker institutions, higher reliance on external financing, and greater sensitivity to commodity prices. Political instability or regional conflicts can quickly erode investor confidence, leading to capital flight and currency depreciation. Sanctions or trade restrictions can further isolate these economies from global markets, exacerbating economic challenges. At the same time, geopolitical shifts can create opportunities for some emerging markets. Countries positioned as alternative manufacturing hubs or energy suppliers may benefit from the diversification of supply chains. Strategic alignment with major powers can attract investment and trade advantages, highlighting that geopolitical risk is not uniformly negative but rather redistributive in nature. Corporate and Strategic Implications For corporations, geopolitical risk has become a core strategic consideration. Multinational companies must assess country risk, regulatory uncertainty, and potential disruptions when making investment and operational decisions. Supply chain resilience, diversification of sourcing, and geopolitical scenario planning are now critical components of corporate risk management. Firms in sectors such as energy, defense, technology, and infrastructure are particularly exposed. Export controls, sanctions compliance, and data sovereignty laws can directly affect business models. Companies that proactively monitor geopolitical developments and build flexibility into their operations are better positioned to navigate uncertainty and protect shareholder value. Managing and Mitigating Geopolitical Risk While geopolitical risk cannot be eliminated, it can be managed. Governments play a role through diplomacy, multilateral cooperation, and conflict resolution mechanisms. Clear and consistent policy communication can help reduce uncertainty and stabilize markets. For investors, diversification across regions, asset classes, and currencies is a fundamental strategy to mitigate geopolitical exposure. Active risk management tools, such as hedging with derivatives, allocating to safe-haven assets, or adjusting sector exposure, can help cushion portfolios against shocks. Long-term investors may focus on structural trends and fundamentals, recognizing that markets often recover once uncertainty subsides. Importantly, distinguishing between short-term market reactions and long-term economic impacts is crucial for disciplined decision-making. Conclusion Geopolitical risk is an enduring feature of the global economic landscape, shaped by power dynamics, resource competition, and evolving political priorities. Its influence extends across trade, financial markets, corporate strategy, and investor behavior. As globalization becomes more complex and multipolar, geopolitical considerations will continue to play a decisive role in shaping economic outcomes. For policymakers, businesses, and investors alike, understanding geopolitical risk is no longer optional—it is essential. Those who can analyze its sources, anticipate its transmission channels, and adapt to its consequences will be better equipped to navigate uncertainty and capitalize on opportunities in an increasingly interconnected yet fragmented world.
NSE:TCSEducation
by TechnicalExpress
XAUUSD 4H: Market Holding Positive StructureGold is moving with a stable bullish setup on the 4H chart. Price behaviour continues to show higher highs and higher lows, supported by consistent buying activity along the trend direction. The current zone near 4533 is an important area to monitor. A normal retracement may take place, bringing price back toward the 4510–4490 support range, where demand was seen earlier. If buyers stay active, this area can again provide support. As long as price remains above this support and the overall structure is respected, the possibility of a move toward the 4600 region remains open. Minor pullbacks should be considered part of healthy market flow, not a trend change. Traders should rely on price confirmation and follow proper risk control. This view is based only on technical analysis and market structure.
OANDA:XAUUSD
by SwingTrade_Concept
SILVER | Monthly TA – High-Risk ZoneSILVER | Monthly TA – High-Risk Zone #Silver is in a vertical Expansion Phase and Trading far above Long-Term Trend Support. Price is testing a macro Supply / Distribution Zone after a Parabolic advance. If Distribution Confirms: → Mean Reversion Toward 0.382–0.5 Fib ($39–$31) → Extended Correction into 0.618 Fib (~$24) Possible Momentum is Climactic — Risk > Reward at Highs. This is a Decision Zone, not a Chase Zone. Monthly Timeframe | Structure > Noise ⚠️ Disclaimer: This is Pure TA. Markets involve Risk. NFA & DYOR Before Making any Trading or Investment Decisions.
TVC:SILVERShort
by CryptoPatel
Technical Analysis vs Fundamental Analysis1. Conceptual Foundation Technical Analysis is based on the belief that all known information—economic data, company performance, market sentiment, and global events—is already reflected in the price. Therefore, instead of focusing on why prices move, technical analysts focus on how prices move. They study historical price data, volume, and chart patterns to identify trends and predict future price movements. Fundamental Analysis, on the other hand, seeks to determine the intrinsic value of an asset. It focuses on economic indicators, financial statements, management quality, industry conditions, and macroeconomic factors. Fundamental analysts aim to understand whether an asset is undervalued or overvalued relative to its true worth. 2. Core Philosophy Technical Analysis Philosophy Price discounts everything Price movements follow trends History tends to repeat itself Fundamental Analysis Philosophy Markets may misprice assets in the short term True value is driven by economic and financial realities Prices eventually converge to intrinsic value This philosophical difference shapes how each method is applied in real-world trading and investing. 3. Tools and Methods Technical Analysis Tools Price charts (line, bar, candlestick) Trendlines and channels Support and resistance levels Indicators (RSI, MACD, Moving Averages, Bollinger Bands) Chart patterns (Head & Shoulders, Double Top/Bottom, Flags, Triangles) Volume analysis Momentum and volatility indicators Technical tools are largely visual and mathematical, designed to capture market psychology and timing. Fundamental Analysis Tools Financial statements (income statement, balance sheet, cash flow) Valuation metrics (P/E, P/B, PEG, EV/EBITDA) Earnings growth and revenue trends Industry and sector analysis Macroeconomic indicators (GDP, inflation, interest rates) Corporate governance and management assessment Geopolitical and policy analysis Fundamental tools are data-driven and focus on long-term economic sustainability. 4. Time Horizon One of the most important distinctions lies in timeframe: Technical Analysis Short-term to medium-term Used by intraday traders, swing traders, and short-term option traders Emphasizes entry and exit timing Fundamental Analysis Medium-term to long-term Used by long-term investors, portfolio managers, and value investors Focuses on wealth creation over years rather than days or weeks While technical analysis answers “when to trade”, fundamental analysis answers “what to buy or sell.” 5. Market Participants Technical Analysis Users Day traders Swing traders Derivatives and options traders Algorithmic and quantitative traders Fundamental Analysis Users Long-term investors Mutual funds and institutional investors Value and growth investors Wealth managers Institutional investors often use fundamentals to select assets and technicals to fine-tune entry and exit points. 6. Data Dependency Technical Analysis relies heavily on: Historical price data Volume and open interest Market behavior patterns It does not require deep knowledge of a company’s business model or financials. Fundamental Analysis depends on: Accurate financial reporting Economic data reliability Corporate disclosures and forecasts It requires interpretation, assumptions, and long-term projections, which can be subjective. 7. Strengths and Advantages Advantages of Technical Analysis Effective for timing trades Useful in volatile and sideways markets Applicable across asset classes Works even when fundamentals are unclear Suitable for short-term trading and risk management Advantages of Fundamental Analysis Identifies long-term value opportunities Helps understand economic and business risks Builds conviction during market volatility Supports portfolio allocation decisions Ideal for wealth creation and capital preservation 8. Limitations and Risks Limitations of Technical Analysis Can produce false signals Less effective during sudden news-driven events Subject to interpretation bias Does not explain underlying business value Limitations of Fundamental Analysis Slow reaction to market changes Valuations may remain mispriced for long periods Requires accurate and timely data Less effective for short-term trading Markets can remain irrational longer than expected, challenging purely fundamental views. 9. Application in Different Market Conditions Trending Markets Technical analysis performs well Range-bound Markets Technical indicators and oscillators excel Economic Expansion Fundamental analysis helps identify growth leaders Economic Crisis or Policy Shocks Technical analysis helps manage risk and volatility Fundamentals explain long-term recovery potential 10. Technical vs Fundamental in Options and Derivatives In derivatives trading: Technical analysis is crucial for strike selection, timing, and volatility assessment Fundamental analysis helps identify direction and long-term bias Option traders often combine both—using fundamentals to decide bullish or bearish outlook and technicals to execute strategies. 11. The Combined Approach Modern market participants increasingly adopt a hybrid approach, combining both analyses: Fundamentals for asset selection Technicals for trade execution and risk management This approach reduces blind spots and enhances decision quality. 12. Conclusion Technical analysis and fundamental analysis are not rivals but complementary tools. Technical analysis excels at understanding market behavior, timing, and psychology, while fundamental analysis provides insight into value, growth, and economic reality. Traders and investors who understand both can adapt to changing market conditions, manage risk more effectively, and improve consistency. Ultimately, the choice depends on individual goals, time horizon, risk tolerance, and market participation style. Mastery comes not from choosing one over the other, but from knowing when and how to use each effectively.
NSE:M&MEducation
by TechnicalExpress
XAUUSD 1H: Structure Shift & Support-Based RecoveryOn the 1H timeframe, XAUUSD is currently in a corrective phase after rejection from the All-Time High near 4560. The sharp bearish move from the highs suggests profit booking and short-term distribution, not a confirmed long-term trend change. Price has now reacted from a strong support zone around 4345–4300, which earlier acted as a consolidation area and is showing demand through rejection wicks and slowing downside pressure. Market structure indicates possible base formation, with price trying to hold above support and stabilise. As long as price remains above 4300, a gradual recovery towards 4390–4415 is possible, followed by 4480–4520 if buying momentum improves. A decisive move below 4300 would invalidate the recovery scenario and increase downside risk. This analysis is purely based on technical price action and is for educational purposes only.
OANDA:XAUUSDLong
by SwingTrade_Concept
Part 2 Ride The Big Moves 1. Breakouts Option buyers profit most during: Higher highs Higher lows Volume expansion Trend confirmation 2. Reversals Put buyers benefit when: Market forms double tops Distribution zone breaks Supply zone rejection occurs 3. Volume Profile Important levels: POC (Point of Control) – maximum volume Value Area High / Low Low Volume Nodes (LVN) – breakout zones Option traders align entries with these areas. 4. Implied Volatility and Market Zones Low IV at support → calls become cheaper High IV at resistance → selling calls becomes attractive
NSE:ASHOKLEYEducation
by SkyTradingZone
Part 1 Ride The Big Moves 1. Single-Leg Strategies A. Long Call Directional bullish bet. Maximum loss = premium paid. B. Long Put Directional bearish view. Great for hedging. C. Short Call Range-bound strategy; unlimited risk. D. Short Put Used to accumulate stocks. 2. Multi-Leg Strategies (Spreads) These reduce risk but limit profit. A. Bull Call Spread Buy ATM Call Sell OTM Call Used in slow uptrend markets. B. Bear Put Spread Buy ATM Put Sell OTM Put Used in slow downtrends. C. Iron Condor Sell OTM Call + Put Buy further OTM Call + Put Perfect for sideways markets. D. Straddle Buy ATM Call + ATM Put Expect high volatility. E. Strangle Buy OTM Call + OTM Put Cheaper than straddle. F. Butterfly Spread Accurate range prediction; low risk.
NSE:JIOFINEducation
by SkyTradingZone
Part 1 Intraday Trading Master Class Types of Option Trading Styles 1. Intraday Option Buying Fast-moving Requires strong trend and momentum High risk, high reward Most traders use: Price action Volume profile Breakouts Trendlines Market structure shifts 2. Intraday Option Selling Profits from Theta decay within the day Works best in sideways or controlled market Risk is high if market breaks out sharply 3. Positional Option Buying Useful for events, trending markets Needs volatility expansion Slower but simpler than selling 4. Positional Option Selling Best for experienced traders Focus on: High probability setups Containing risk Credit spreads Hedged positions
Education
by SkyTradingZone
Chart Patterns Best Practices for Mastering Chart Patterns Practice on historical charts Back-test on long-term charts. Combine with indicators RSI divergence works well with reversal patterns. Volume Profile works well with triangles and wedges. Moving averages help define trend context. Focus on quality over quantity One clean pattern is better than 10 random ones. Look for confluence Strong patterns usually align with: Support/resistance Trendlines Fibs Volume zones
CRYPTO:BTCUSDEducation
by TechnicalExpress
1
BHARTIARTL 1 Day Time Frame 📌 Live/Recent Price (as of today) Current Price: ~₹2,095 – ₹2,098 on NSE (approx live market price). 📊 Daily Support & Resistance Levels (Technical) 📍 Pivot‑Based Levels (Typical daily structure) These levels are derived from recent data and pivot calculations (may vary slightly by source): Bullish / Resistance Levels R3: ~₹2,150 – ₹2,160+ R2: ~₹2,130 – ₹2,145 R1: ~₹2,115 – ₹2,120 Central Pivot (CP): ~₹2,095 – ₹2,100 (key intraday balance) Support Levels S1: ~₹2,080 – ₹2,085 S2: ~₹2,060 – ₹2,070 S3: ~₹2,040 – ₹2,055 These reflect short‑term intraday pivots used by many traders. 📊 Alternate Daily Pivot Points (from TipRanks) Level Approx Value R3 ~₹2,150.65 R2 ~₹2,129.70 R1 ~₹2,116.60 Pivot ~₹2,095.65 S1 ~₹2,082.55 S2 ~₹2,061.60 S3 ~₹2,048.50 🧠 Quick One‑Day Strategy Guide Bullish view (intra‑day): Above pivot (~₹2,095‑₹2,100) → upside bias. Target R1 (~₹2,115) → R2 (~₹2,130‑₹2,145). Bearish view (intra‑day): Below pivot and especially below S1 (~₹2,080) → downside to S2 (~₹2,060).
NSE:BHARTIARTLLong
by Knowledgehub
1