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BRITANNIA - Falling Wedge + Bullish Engulfing Combo💹 Britannia Industries Ltd (NSE: BRITANNIA) Sector: FMCG | CMP: ₹5,892.50 | View: Falling Wedge + Bullish Engulfing Reversal Setup 📊 Price Action: Britannia is currently displaying a strong confluence setup where both a chart pattern and a candlestick pattern align perfectly to signal a potential trend reversal. After weeks of consolidation within a downward-sloping structure, the stock has formed a Falling Wedge pattern — a classic bullish reversal formation. Adding strength to this structure, a Bullish Engulfing Candle on 4 Nov 2025 emerged from the wedge’s lower boundary, confirming buyer dominance and hinting at a near-term trend reversal. 📉 Chart Pattern Analysis – Falling Wedge (Bullish Setup): The Falling Wedge pattern is marked by two converging downward trendlines, each connecting a series of lower highs and lower lows. This structure reflects seller exhaustion and early buying interest. Britannia’s wedge formation is now reaching its apex, where breakout probability is highest. Volume contraction throughout the wedge also supports the notion that supply is drying up, preparing for a breakout above the upper trendline. 📈 Candlestick Pattern – Bullish Engulfing Confirmation: The Bullish Engulfing Candle formed on 4 Nov 2025 precisely at the lower support line of the wedge, validating the pattern with strong timing. It represents a shift in control from sellers to buyers, with the green candle completely engulfing the prior red body. Volume expansion on that session further confirmed active participation by institutions ahead of the upcoming news catalysts. This one-day reversal candle acts as the first technical confirmation, while a breakout above the upper trendline will serve as the structural confirmation for the wedge pattern. 📏 Fibonacci Analysis: From swing low ₹5,298 to swing high ₹5,930: 78.6% retracement @ ₹5,795 → Key reversal level defended. 61.8% retracement @ ₹5,888 → Currently reclaimed zone. 100% extension @ ₹5,930 → Short-term breakout threshold. The Fibonacci structure aligns beautifully with the wedge’s geometry, implying that the reversal zone is complete and buyers are regaining momentum. 🧭 STWP Support & Resistance: Resistances: ₹5,940 | ₹5,987 | ₹6,055 Supports: ₹5,825 | ₹5,775 | ₹5,710 The ₹5,775–₹5,825 range is acting as a high-confidence accumulation base, while ₹6,090–₹6,150 represents the key breakout trigger zone. 📊 STWP Volume & Technical Setup: Volume on 4 Nov surged to 363.4K vs 248.7K average, confirming institutional interest at lower levels. VWAP recovery and improving RSI (47→52+) show that momentum is gradually returning. MACD is approaching a bullish crossover, while Stochastic and CCI have both turned upward — all aligning with a reversal confirmation setup. Trend Direction: UPTREND (Transitioning) | Volume Confirmation: Possible Accumulation in Progress 🧩 STWP Summary View: Final Outlook: Momentum: Strengthening | Pattern: Falling Wedge + Bullish Engulfing | Risk: Moderate | Volume: Increasing Britannia’s technical structure now showcases dual confirmation — a chart pattern (Falling Wedge) supported by a candlestick reversal (Bullish Engulfing). This confluence enhances the reliability of the reversal signal and increases the probability of an upside breakout. As long as the price holds above ₹5,825, the bias remains bullish with potential continuation toward ₹6,150–₹6,250. ⚠️ Disclosure & Disclaimer – Please Read Carefully This analysis is for educational purposes only and should not be treated as financial or investment advice. I am not a SEBI-registered investment adviser. All views are based on technical observations and publicly available information. Trading involves risk; please assess your financial suitability, position size, and stop-loss levels before entering any trade. Always consult a SEBI-registered financial adviser for personalized guidance. Position Status: No active position in (BRITANNIA) at the time of this analysis. Data Source: TradingView & NSE India 💬 Found this useful? 🔼 Give this post a Boost if you value clean technical confluence studies. 💭 Comment your thoughts — does this wedge-breakout setup look convincing to you? 🔁 Share this post to help others understand pattern + candlestick synergy. 👉 Follow for more institutional-style technical breakdowns built on clarity and patience. 🚀 Stay Calm. Stay Clean. Trade With Patience. Trade Smart | Learn Zones | Be Self-Reliant 📊
NSE:BRITANNIALong
by simpletradewithpatience
5
Suzlon Energy – Based on Harmonic Pattern & Chart Gaps Suzlon Energy – CMP:65.92 •Looking at the chart, Suzlon has just completed a Bullish Harmonic Bat Pattern . After the “D” point was hit, the stock bounced nicely, and it’s now consolidating around ₹66 – which could be the calm before the next move. •RSI is sitting around 60, which is healthy – not overbought, so room to go higher. •Volume has picked up recently after the bounce from point D, suggesting buyers are stepping in. ✅ Entry Idea Right now, Suzlon is trading around ₹66, just above its key EMAs. This is a solid zone to start building a position. • You can enter around ₹65–67. • If the stock dips a little more, ₹63–64 is a great place to average or initiate as well (near the 50 EMA). 🔒 Stop Loss To manage risk: • Place your stop loss below ₹59.50, just under the 200 EMA and the last structure support. • If you want a tighter SL, go with ₹61 (that still keeps you safe). 🎯 Target Zones (Think in 3 Stages) As per the pattern aiming for multiple levels as the pattern unfolds and price fills the upside gaps: 1. Target 1: ₹69-71 – This is a nearby resistance and short-term goal. 2. Target 2: ₹76-78 – There's a visible price gap here + past selling zone. 3. Target 3: ₹84–86 – This is the harmonic target, where the full pattern projects to. Keep in mind, you don’t have to ride it all the way – partial booking at each target is a smart move. 📌 Thanks a ton for checking out my idea! Hope it sparked some value for you. 🙏 Follow for more insights 👍 Boost if you found it helpful ✍️ Drop a comment with your thoughts below!
NSE:SUZLONLong
by DrPrashantVerma
NMDC Ltd: Long-Term Accumulation AnalysisThe stock appears to be in a prolonged accumulation phase, gradually building a strong base after a period of consolidation. It is currently trading close to its 200-day moving average, indicating a potential zone of value and long-term support. The company’s financials remain robust, reflecting healthy fundamentals and steady growth prospects. With improving technical structure and sound balance sheet strength, the stock presents itself as a promising candidate for long-term investment. Continued accumulation near the 200-DMA, accompanied by sustained volume activity, could signal the beginning of a larger uptrend in the coming quarters. For educational purposes only; not investment advice
NSE:NMDCLong
by vishnu_vijayan_vj
XAG/USD (Silver vs USD) chart on the 2-hour timeframe...XAG/USD (Silver vs USD) chart on the 2-hour timeframe: Price is moving within a descending channel, still below the Ichimoku cloud, indicating continued bearish pressure. The recent candle is showing a rejection from the upper band of the channel / cloud resistance area (around 47.9–48.1). My marked two target points on the chart — both aligning with the lower parts of the descending channel. 🎯 Target Zones (Bearish Outlook) 1. First target: around 46.00 – 46.20 → This aligns with the mid-channel support and my first “target point” marking. 2. Final target: around 42.00 – 42.30 → This corresponds to the lower channel boundary and my second, deeper target point on the chart. 🔹 Summary Bias: Bearish below 48.10 Entry area: 47.8 – 48.0 rejection zone Targets: 🎯 TP1 = 46.10 🎯 TP2 = 42.20 Invalidation: A sustained close above 48.20 would weaken this bearish structure and could trigger a cloud breakout.
OANDA:XAGUSDShort
by HussaiN_JaNi
2
GBP/USD (1-hour) chart...GBP/USD (1-hour) chart: Price is moving within a descending channel, and currently testing the upper boundary of that channel. The Ichimoku cloud above the price suggests a bearish bias, as price remains below the cloud. There’s a projected leg down (green arrow) marked on my chart — pointing toward the lower channel line. 🎯 Likely Target Zone If the move respects the current channel and the upper rejection holds: Short-term downside target: around 1.2910–1.2920, aligning with the lower channel trendline and my marked “target point.” Intermediate resistance: near 1.3040–1.3060 (top of the cloud / channel upper edge). Summary: 📉 Sell bias below 1.3040 🎯 Target: 1.2910–1.2920 ❌ Invalidation: If price breaks above 1.3070 with strong candles (then potential reversal).
Short
by HussaiN_JaNi
3
Understanding Biocon’s Bullish Setup Through Elliott Wave & RSIBiocon Limited is showing signs of a long-term bullish trend, supported by Elliott Wave theory and RSI strength above 50. Its current price action above key moving averages reinforces the momentum. 📈 Understanding Biocon’s Bullish Setup Through Elliott Wave and RSI Biocon Limited, a prominent player in the biotechnology sector, is currently trading around ₹380.50. Technical analysis suggests that the stock is in the midst of a long-term bullish cycle, potentially targeting levels above ₹720. This projection is grounded in the principles of Elliott Wave Theory and supported by the Relative Strength Index (RSI) and moving average trends. 🔹 Elliott Wave Theory: Mapping Market Psychology Elliott Wave Theory is a powerful tool used to analyze market cycles and investor psychology. It posits that prices move in repetitive wave patterns—five waves in the direction of the main trend followed by three corrective waves. Wave 1 to 5: These represent the primary trend. In Biocon’s case, the current movement appears to be in the midst of this five-wave structure. Wave 3 is typically the strongest and longest, often driven by fundamental catalysts and broad market participation. Wave 5, which Biocon is believed to be entering or progressing through, often reflects the final push of bullish sentiment before a correction. Given the current price and technical setup, the projection toward ₹720+ aligns with the completion of this five-wave pattern. 🔹 RSI: Momentum Confirmation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. A reading above 50 typically indicates bullish momentum. Since early 2024, Biocon’s RSI has consistently remained above the 50 mark, suggesting sustained buying interest and upward momentum. This RSI behavior supports the Elliott Wave interpretation, reinforcing the idea that the stock is in a strong uptrend. 🔹 Moving Averages: Trend Validation Moving averages help smooth out price data and confirm trends. Biocon’s price currently trades above both its: 50-day moving average (DMA): Indicates short- to mid-term bullishness. 100-day moving average (DMA): Suggests longer-term strength and investor confidence. Trading above these key levels often acts as a support zone, reducing downside risk and attracting trend-following investors. 📊 Conclusion: A Technically Sound Rally Biocon’s current technical landscape paints a compelling picture for long-term investors and swing traders: The Elliott Wave structure suggests a continued rally toward ₹720+. The RSI above 50 confirms bullish momentum. Trading above 50 DMA and 100 DMA validates the trend. While technical analysis offers valuable insights, investors should also consider fundamental developments and broader market conditions before making decisions.
NSE:BIOCONLong
by NANARKAR
GPPL - Possible breakout after long consolidationGPPL has been consolidating in a range since June 2025 and currently showing signs of breaking out of the range. GPPL currently shows a healthy pullback within a new uptrend. Price Action Price has pulled back after testing resistance near ₹170 Price above 20, 50 and 200 EMA Structure A Change of Character (ChoCH) to bullish occurred earlier when price broke above a prior lower high (around ₹160). Then, a Break of Structure (BoS) confirmed the bullish intent. Currently, the pullback is testing the previous demand zone (PDL-PWL region: ₹158–₹160). This looks like a bullish retracement within a newly formed uptrend. RSI & ADX (Momentum) RSI is around 52–55, neutral zone — no overbought or oversold signals. Momentum cooled off after a recent rally, aligning with a healthy retracement phase. ADX at 27 shows momentum building up. Fundamentals Sep Qtr. Sales up 32% YOY EBIT up 34% YOY Net Profit up 38% YOY Trade Setup Entry - Wait for price confirmation (bullish candle or volume spike) near ₹168 before entering. SL - ₹155 If price closes below ₹155 — abort the long trade, as that would invalidate the bullish structure. Target- ₹193 (major supply zone)
NSE:GPPLLong
by PMD_SwingFocus
Elliott Wave Analysis – XAUUSD (Nov 05, 2025) 🔹 Momentum D1 timeframe: Daily momentum has reversed to the downside, suggesting that the dominant trend for the next 4–5 days is likely to be bearish. H4 timeframe: H4 momentum is currently turning upward, indicating a potential short-term bullish correction lasting 4–5 H4 candles. However, since price action is within a corrective wave, short-term momentum signals can be noisy. Still, this minor rally can provide valuable observation opportunities. H1 timeframe: H1 momentum is now in the overbought zone and about to turn down. I usually take entries when H1 and H4 momentum align, but right now they are out of phase, so the best move is to wait and observe. The 3891 level will be a key area to monitor in the short term. ________________________________________ 🔹 Wave Structure D1 timeframe: The corrective wave X (purple) within wave (4) (yellow) appears to be forming or nearing completion. The downside reversal on D1 suggests that wave X might have already ended, and price could now be starting wave Y downward. A break below 3892 would confirm that wave X is complete. However, note that this X-wave retracement is quite shallow (around 0.283 of the previous W-wave), which reduces the reliability of the momentum signal — meaning we must stay cautious and monitor closely. ________________________________________ H4 timeframe: On H4, the structure of wave X (purple) shows signs of a contracting triangle, anchored around the 4028 resistance zone with higher lows. In this scenario, an a–b–c correction is expected, where wave b forms the triangle, and wave c could rise toward 4050–4149 to complete the X-wave. However, the strong drop yesterday is weakening this scenario, though not invalidated yet. → The bullish scenario would be fully invalidated if price breaks below 3892. Thus, we must monitor two possible cases: 1. Case 1: Wave X is still in progress – supported by the current H4 momentum upswing. If price breaks above 4028 when H4 momentum reaches overbought, it will strengthen this view. 2. Case 2: Wave X has already completed as a triangle (abcde) shown on H1. In this case, the ongoing H4 rally is just a corrective bounce, and once H4 momentum enters overbought and price fails to close above 4028, a new bearish leg is likely to start. ________________________________________ H1 timeframe: The corrective X-wave (purple) seems to have completed as a triangle (abcde, black). That means the market is now likely in wave Y (purple) on D1, where the main trend is bearish, and any upmove is only corrective. Hence, the 3981 liquidity zone above is considered a high-probability sell area. ________________________________________ 🔹 Trading Plan • Sell Zone: 3981 – 3983 • Stop Loss: 4002 • Take Profit 1: 3892 • Take Profit 2: 3814 ⚠️ Note: Current volatility is extremely high — each H1 candle covers more than 200 pips. Therefore, the stop loss range is wide. 👉 To manage risk effectively: • Either avoid trading during this phase, or • Reduce position size to keep account safety intact.
OANDA:XAUUSDShort
by WavePoint_FX
poclStrong long-term uptrend still intact. Minor pullback (-12.9 %) is likely a normal consolidation. RS 90 and EPS Growth +45 % = leadership stock in current cycle. Volume pattern confirms accumulation, not distribution. New breakout possible if price clears ₹1,500 with volume > 1 M shares. Stop-loss for traders could be near ₹1,200 (8 – 9 % below current). Long-term investors may trail stops below ₹1,000 support. Fundamental backdrop (lead recycling, green metals) supports trend continuation. No red technical divergences visible yet. Overall rating: Bullish / Strong Uptrend Continuation candidate
NSE:POCL
by kpintu851
Part 1 Master Candle Stick Pattern How Options Work Each option represents a contract between a buyer and a seller. The buyer pays a premium to the seller (also called the writer) in exchange for certain rights: The call option buyer has the right to buy the asset at the strike price. The put option buyer has the right to sell the asset at the strike price. If the market moves in favor of the buyer, they can exercise the option to make a profit. If the market moves against them, they can simply let the option expire, losing only the premium paid.
FX:XAUUSDEducation
by SkyTradingZone
Unlocking Trading Breakouts and Avoiding Costly Mistakes1. What Is a Breakout in Trading? A breakout occurs when the price of a stock or asset moves outside a key support or resistance level with increased volume. Resistance Breakout: Price moves above a resistance level (previous high or consolidation zone). Support Breakout: Price drops below a support level (previous low or base). This movement suggests that market sentiment is shifting—buyers or sellers are gaining control. A valid breakout often signals a new phase of volatility or the beginning of a strong trend. For example, if a stock has been trading between ₹100 and ₹120 for weeks, a close above ₹120 on strong volume may signal a bullish breakout—potentially leading to a larger upside move. 2. Why Breakouts Matter Breakouts often mark major transitions in supply and demand. When price breaks above resistance, it shows that buyers have overpowered sellers. When price breaks below support, it means sellers have overwhelmed buyers. These moments attract large institutional traders and trigger algorithmic buying or selling. Breakout traders attempt to capture the early stage of a trend before the broader market catches on. However, not every breakout leads to a sustainable move. Many fail quickly—these are known as false breakouts or “bull traps” and “bear traps.” Understanding how to differentiate them is key to success. 3. Characteristics of a Strong Breakout To filter high-probability breakouts, traders should look for certain confirming signals: a. High Volume Volume is the heartbeat of any breakout. When price breaks a key level with high volume, it shows strong participation and conviction among traders. Low-volume breakouts often fail. b. Tight Consolidation Before Breakout A tight range or a base pattern (like a flag, pennant, or triangle) before breakout suggests accumulation or preparation for a major move. c. Strong Close Beyond the Level The price should close beyond the breakout point—not just spike intraday. Closing strength confirms that the breakout is genuine. d. Favorable Market Context Breakouts perform best in trend-supportive markets. A bullish breakout in a strong overall market (e.g., NIFTY 50 uptrend) has a higher chance of succeeding. 4. Common Types of Breakout Patterns 1. Horizontal Breakouts Price breaks a flat support or resistance level, often after sideways movement or consolidation. 2. Trendline Breakouts A long-standing trendline is breached, signaling a potential reversal or acceleration of momentum. 3. Chart Pattern Breakouts Patterns like triangles, flags, rectangles, cups and handles, and head and shoulders often lead to breakouts. Each has its psychology of accumulation and release. 4. Volatility Breakouts Price suddenly expands after a period of low volatility (e.g., after a squeeze on Bollinger Bands). Such breakouts are explosive but short-lived. 5. The Psychology Behind Breakouts Understanding trader psychology is as important as chart analysis. When price nears resistance, many traders expect rejection and place sell orders there. But once the price breaks above that level, short sellers are forced to cover, adding to buying pressure. Similarly, breakout traders jump in, driving price higher—a self-reinforcing cycle that fuels trends. However, emotions can be dangerous. Many traders fear missing out (FOMO) and chase the price after the breakout has already extended too far. This often leads to losses when price retraces. 6. The Most Common Breakout Mistakes (and How to Avoid Them) a. Entering Too Early Jumping in before confirmation is a common trap. Wait for a daily or hourly candle close above resistance (or below support). Premature entries often get caught in false breakouts. Solution: Be patient. Confirmation matters more than speed. b. Ignoring Volume Breakouts without volume often lack strength. Many traders ignore this and assume every move beyond a line is a breakout. Solution: Use volume indicators (like Volume Profile or OBV) to confirm market participation. c. No Stop-Loss Strategy Many traders enter breakouts without pre-defined stop-loss levels, hoping the price will “eventually” go in their favor. This leads to big losses. Solution: Always place a stop-loss just below the breakout point (for longs) or above it (for shorts). This protects against false breakouts. d. Chasing Price After the breakout, price may retest the breakout zone before resuming its trend. Impatient traders chase extended moves, only to see price pull back. Solution: Wait for a retest or minor pullback before entering. e. Ignoring Market Context A breakout in a weak overall market is risky. Broader sentiment influences individual stock movement. Solution: Align trades with broader trend direction. Bullish breakouts perform better in bull markets. f. Over-Leveraging Using high leverage amplifies both profit and loss. If the breakout fails, leveraged traders face margin calls. Solution: Keep position sizes moderate—risk no more than 1–2% of capital per trade. 7. Smart Techniques to Trade Breakouts Effectively a. Use Multi-Timeframe Analysis Check higher timeframes (like weekly or daily) to confirm structure, and use lower ones (like 1-hour) for entries. This ensures alignment between short-term and long-term trends. b. Employ Volume Profile Volume Profile helps identify high-volume nodes (HVNs)—zones of strong support/resistance—and low-volume nodes (LVNs)—areas where breakouts are likely to accelerate. c. Watch for Retests Many valid breakouts come back to retest the broken level before continuing. This offers low-risk entry points. d. Combine Momentum Indicators Use RSI, MACD, or ADX to confirm momentum. If these show strength during breakout, chances of success rise. e. Manage Emotions Don’t let excitement or fear dictate action. Follow your trading plan strictly—discipline beats prediction. 8. Risk Management in Breakout Trading Breakout trading works best with strict risk management because not all breakouts succeed. Here’s how to manage risk effectively: Stop-Loss: Place just beyond the opposite side of the breakout. Position Sizing: Limit risk to 1–2% of capital per trade. Trailing Stops: As price moves in your favor, trail your stop-loss to lock in profits. Risk–Reward Ratio: Target at least 2:1. For every ₹1 risked, aim to gain ₹2. Without proper risk control, even a few failed breakouts can wipe out profits from several successful ones. 9. Identifying False Breakouts False breakouts happen when price temporarily breaches a key level and then reverses sharply. These are often caused by stop-hunting or lack of follow-through buying/selling. How to Identify: Breakout happens with low or average volume. Price doesn’t close beyond the level. Immediate reversal candle (like a shooting star or bearish engulfing). How to Avoid: Wait for confirmation on closing basis. Avoid trading during major news events when volatility is erratic. Use alerts instead of instant market entries. 10. Conclusion: Mastering the Art of Breakouts Breakout trading offers tremendous potential—but only for disciplined traders who respect structure, volume, and risk. Successful breakout traders don’t chase—they anticipate, confirm, and control risk. By focusing on volume confirmation, price structure, and broader trend context, you can distinguish between genuine and false breakouts. Equally important is patience—waiting for setups that align technically and psychologically. Remember: every breakout is an opportunity, but only if you trade it with a plan. Stay objective, manage your emotions, and protect your capital. Over time, mastering breakout trading becomes less about prediction and more about precision—the art of entering when others hesitate and exiting when others panic.
Education
by TechnicalExpress
2
Quantitative Trading in India1. What is Quantitative Trading? Quantitative trading involves developing mathematical models that analyze large sets of historical and real-time market data to identify profitable trading opportunities. These models are then translated into algorithms that execute trades automatically when specific conditions are met. Unlike traditional trading, where decisions are based on human analysis or intuition, quant trading depends on data-driven models—built from statistical patterns, price behavior, and probability-based predictions. For instance, a quantitative model might identify that whenever a particular stock’s price crosses its 50-day moving average, there’s a 60% chance it will rise by 1% in the next two days. The algorithm will then automatically place a buy order when this condition occurs and exit when profit or risk targets are hit. 2. The Rise of Quantitative Trading in India The Indian financial market has undergone a digital revolution in the past decade. The introduction of advanced trading platforms, co-location services by exchanges, and faster internet connectivity has made algorithmic and quantitative trading more accessible. NSE and BSE Initiatives: Both the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) allow algorithmic trading through their APIs. The NSE launched “NOW” and later “Colo” services that let institutional traders place their servers near the exchange for low-latency execution. Growth in HFT and Algo Desks: Many domestic and foreign institutional investors now operate high-frequency trading (HFT) and quant desks in India. Retail Access: With brokers like Zerodha, Upstox, and Interactive Brokers offering APIs, even retail traders can deploy basic quant strategies today. India’s equity and derivatives markets—known for their liquidity and volatility—offer ideal conditions for quantitative models to thrive. 3. Key Components of Quantitative Trading Quantitative trading relies on multiple technical and analytical components: a. Data Collection and Processing The foundation of quant trading is data—price, volume, volatility, order book, and macroeconomic indicators. Traders use both historical data (to backtest strategies) and real-time data (for live execution). Data is cleaned, normalized, and structured before being fed into analytical models. b. Mathematical Modeling Traders use statistical and machine learning techniques to find relationships in the data. Common techniques include: Regression analysis to predict future price moves. Time-series modeling like ARIMA or GARCH for volatility forecasting. Machine learning models such as random forests or neural networks to identify non-linear market patterns. c. Backtesting Before deploying a model, it’s tested on historical data to evaluate performance metrics—profitability, drawdown, win rate, and Sharpe ratio. This step helps refine parameters and assess risk. d. Execution Systems The strategy is implemented using automated scripts written in Python, C++, or R. Execution systems ensure the trade is carried out efficiently and at the desired price, with minimal slippage and latency. e. Risk Management Quantitative traders use strict risk management protocols, including stop-losses, position sizing, and portfolio diversification. Models also include safeguards to handle sudden market disruptions. 4. Types of Quantitative Trading Strategies Quant trading covers a wide range of strategies. Some of the most popular in India include: a. Statistical Arbitrage This strategy involves exploiting temporary price inefficiencies between correlated securities. For example, if two bank stocks usually move together but diverge briefly, a trader might short one and buy the other, expecting prices to converge. b. Mean Reversion Based on the idea that prices eventually revert to their mean, traders buy when prices fall below the average and sell when they rise above it. c. Momentum Trading Momentum models look for stocks showing strong price movements in one direction and attempt to ride the trend. These are popular in the Indian equity derivatives market. d. Market Making Market makers provide liquidity by simultaneously placing buy and sell orders, earning from the bid-ask spread. Quant systems are used to constantly adjust quotes based on volatility and order flow. e. Machine Learning-Based Models AI and deep learning models analyze large datasets—including news, social media sentiment, and macro data—to predict short-term price trends. 5. Technology and Infrastructure Quantitative trading demands high computing power and low-latency infrastructure. Key tools and technologies include: Programming Languages: Python, R, C++, and MATLAB for model development. Databases: SQL, MongoDB, and time-series databases to handle massive data. Cloud Computing: Platforms like AWS and Google Cloud for scalability. APIs and FIX Protocols: For real-time data and automated order execution. Co-location Servers: Provided by NSE and BSE for high-speed trading. 6. Regulatory Framework in India The Securities and Exchange Board of India (SEBI) regulates quantitative and algorithmic trading. Some of the major regulations include: Approval Requirement: Institutional participants must get exchange approval before using an algorithm. Risk Checks: Pre-trade risk controls are mandatory—such as order price bands and quantity limits. Audit Trail: All automated strategies must maintain complete logs of trades. Fair Access: SEBI ensures equal market access for all participants, preventing latency advantages. Retail traders using broker APIs are also subject to compliance checks, including throttling limits and order validations. 7. Advantages of Quantitative Trading Quant trading offers multiple advantages over traditional manual methods: Emotion-Free Decision Making: Models rely on logic and data, not human emotion. Speed and Efficiency: Algorithms execute trades in microseconds. Backtesting Capability: Strategies can be tested before deployment. Scalability: The same model can be applied across multiple instruments. Diversification: Automated systems can manage hundreds of securities simultaneously. 8. Challenges in India’s Quant Landscape Despite its growth, quant trading in India faces unique challenges: Data Quality: Historical tick data is expensive and often inconsistent. Regulatory Complexity: Frequent SEBI changes create compliance hurdles. Infrastructure Costs: Co-location and low-latency systems are costly for small firms. Talent Gap: Skilled professionals with expertise in both finance and coding are limited. Market Depth: While Nifty and Bank Nifty are highly liquid, smaller stocks lack sufficient volume for quant models. 9. The Future of Quantitative Trading in India The future of quantitative trading in India looks extremely promising. As AI, machine learning, and big data analytics continue to evolve, trading models are becoming smarter and faster. The democratization of APIs and data feeds is enabling more retail traders to experiment with quant strategies. Additionally, with the growth of quant funds, hedge funds, and proprietary trading firms in India, institutional adoption is accelerating. Educational programs and fintech incubators are also nurturing the next generation of quantitative analysts. In the coming years, India is likely to see: Greater integration of AI-driven predictive analytics. Expansion of retail quant platforms. Development of multi-asset quant models including commodities and currencies. Stronger regulatory frameworks ensuring market fairness. 10. Conclusion Quantitative trading is transforming India’s financial landscape. It represents the intersection of finance, mathematics, and technology—allowing traders to make data-driven decisions with precision and speed. While challenges like regulation and data access remain, the momentum toward automation is irreversible. As markets mature and technology becomes more accessible, quantitative trading will continue to dominate institutional desks and increasingly empower sophisticated retail participants. In essence, the future of trading in India is quantitative, algorithmic, and intelligent.
TVC:US10YEducation
by TechnicalExpress
Volume Secrets in TradingThe Hidden Force Behind Price Movements In the world of trading, price often grabs all the attention. Traders talk about chart patterns, moving averages, and candlestick formations — but behind every price move lies the true driving force: volume. Volume is the heartbeat of the market, showing how many participants are involved and how strong or weak a move really is. Understanding the secrets hidden in volume can dramatically improve your trading accuracy and timing. 1. What is Volume in Trading? Volume represents the number of shares, contracts, or lots traded during a specific time period. For example, if 10 lakh shares of Reliance Industries are traded on a given day, its daily volume is 10 lakh. In simple terms, volume tells you how active the market is. Higher volume means more participation, stronger conviction, and greater liquidity. Lower volume, on the other hand, indicates weaker interest and often signals indecision or the end of a move. Volume can be applied to any market — equities, futures, forex, or cryptocurrencies — and remains one of the most reliable indicators of institutional activity. 2. The Relationship Between Price and Volume The secret of volume lies in understanding how it interacts with price. Volume confirms price moves and gives hints about whether a trend is genuine or fake. Here’s how different combinations reveal the market’s true intent: Rising Price + Rising Volume → Bullish confirmation. This shows strong buying interest and supports a sustainable uptrend. Rising Price + Falling Volume → Weak rally. The uptrend may lack conviction and could soon reverse. Falling Price + Rising Volume → Bearish confirmation. Indicates strong selling pressure and continuation of a downtrend. Falling Price + Falling Volume → Weak decline. The downtrend may be losing strength and nearing a reversal. By observing these relationships, traders can filter out false breakouts and spot trend reversals early. 3. Volume as a Measure of Strength Volume acts like a polygraph for price action — it tells you whether the price is lying. A breakout without volume is like a car without fuel — it won’t go far. When price moves on heavy volume, it shows genuine interest from big players. For instance, suppose a stock breaks a long resistance level at ₹500. If the breakout happens with double or triple the average volume, it means large institutions are accumulating. But if it happens on thin volume, it’s often a trap to lure retail traders before reversing. 4. Volume Patterns that Reveal Market Intent A. Volume Spikes (Climactic Volume) A sudden and massive surge in volume often signals a turning point. This is called climactic volume. It occurs when a trend reaches an emotional extreme — everyone wants in or out. At market tops, climactic volume shows buying exhaustion — smart money is selling while the crowd is buying. At market bottoms, climactic volume signals selling exhaustion — smart money starts accumulating as others panic. B. Volume Dry-Up (Low Volume Areas) Periods of low or drying volume often precede big moves. When a market becomes quiet and volume contracts, it shows that volatility is compressing — energy is building for the next strong move. C. Volume Divergence When price continues to move in one direction but volume doesn’t confirm it, it’s a warning signal. For example, if price keeps rising but volume declines, it shows weakening demand — a potential reversal is near. 5. Using Volume with Technical Indicators Volume can be combined with other indicators to strengthen your analysis. A. On-Balance Volume (OBV) OBV adds volume on up days and subtracts it on down days. It helps to identify whether money is flowing in or out of a stock. If OBV rises while price stays flat, it suggests accumulation before a potential breakout. B. Volume Moving Average This shows average traded volume over a period, such as 20 days. A sudden rise above the average volume indicates unusual activity — often a sign that smart money is taking positions. C. Volume Profile A more advanced tool, Volume Profile shows how much volume traded at different price levels (not over time). It reveals price zones of heavy activity, known as High Volume Nodes (HVN), where market participants agree on value, and Low Volume Nodes (LVN), where price tends to move quickly through. 6. Secrets of Institutional Volume Big institutions like mutual funds and FIIs cannot buy or sell massive quantities at once — they leave footprints in volume. Smart traders watch these clues to trade alongside them. Accumulation Phase: Price stays in a range, but volume slowly builds. Institutions are quietly buying without moving the price much. Breakout Phase: Once accumulation is done, price breaks out sharply with a surge in volume. Distribution Phase: After a rally, volume remains high but price stops rising. Institutions start selling gradually. Recognizing these volume footprints helps traders spot where big money is flowing. 7. Volume in Intraday Trading In day trading, volume gives instant clues about short-term momentum. The first hour usually shows the highest volume — a reflection of overnight news and institutional action. Sudden volume bursts during the day often precede strong intraday breakouts. Traders use Volume-Weighted Average Price (VWAP) to gauge institutional participation. If price stays above VWAP with strong volume, buying pressure dominates. 8. Secrets of Volume Confirmation The biggest mistake traders make is to ignore volume confirmation during entries. Before taking any trade: Check if the move is supported by above-average volume. Watch for volume spikes at support or resistance zones. Look for divergence between price and volume to detect traps. A trade backed by strong volume has a higher probability of success because it reflects real participation. 9. Practical Tips to Use Volume Effectively Track Average Daily Volume: Avoid illiquid stocks where volume is too low — they can show false moves. Compare Relative Volume: Look at current volume vs. the average to spot unusual activity. Use Volume in Multiple Timeframes: Confirm whether daily volume supports weekly or monthly trends. Watch Breakouts and Pullbacks: Real breakouts always occur on high volume; healthy pullbacks often show lower volume. Combine with Price Action: Never analyze volume in isolation — always relate it to what price is doing. 10. Conclusion: The Hidden Language of the Market Volume is not just a number on your chart — it is the language of the market’s heartbeat. It reveals the story behind every price movement — who is in control, where smart money is active, and when trends are about to reverse. By learning to read volume, traders gain a major edge. Price tells you what is happening, but volume tells you why it’s happening and whether it will continue. Mastering this hidden dimension transforms trading from guesswork into intelligent market reading. In short, price is the headline, but volume is the truth behind it.
BSE:SENSEXEducation
by TechnicalExpress
How to Understand Candlestick Patterns1. The Structure of a Candlestick A single candlestick consists of four main components: Open: The price at which the asset began trading during that time period. Close: The price at which the asset finished trading during that period. High: The highest price reached within that timeframe. Low: The lowest price reached within that timeframe. The body of the candlestick represents the range between the open and close prices. The wicks or shadows (thin lines above and below the body) show the highs and lows. If the close is higher than the open, the candlestick is often colored green or white, indicating bullish (buying) pressure. If the close is lower than the open, the candlestick is usually red or black, showing bearish (selling) pressure. This simple structure gives an instant snapshot of price behavior within that period. 2. Why Candlestick Patterns Matter Candlestick patterns are more than just shapes—they reflect market psychology: the emotions of traders, including fear, greed, and hesitation. When you interpret these patterns correctly, you can anticipate what the market might do next. For example: A long green candle indicates strong buying enthusiasm. A long red candle shows aggressive selling pressure. A candle with a small body and long wicks reflects indecision in the market. Over time, combinations of these candles form patterns that traders use to predict price direction. 3. Types of Candlestick Patterns Candlestick patterns are generally categorized into three main types: Reversal patterns – Indicate a change in trend direction. Continuation patterns – Suggest the trend will likely continue. Indecision patterns – Show hesitation, signaling a possible pause or reversal. Let’s explore each with examples. 4. Reversal Candlestick Patterns These patterns often appear at the end of a trend and signal a potential turning point. a. Hammer and Hanging Man Hammer: Found in a downtrend, it has a small body with a long lower wick. This means sellers drove prices down, but buyers stepped in and pushed it back up—a sign that bulls are gaining control. Hanging Man: Looks identical to a hammer but occurs in an uptrend. It suggests buyers are losing momentum and sellers might soon take over. b. Bullish Engulfing Pattern A small red candle is followed by a large green candle that completely engulfs the previous body. This shows a strong shift from selling to buying pressure, indicating a potential uptrend reversal. c. Bearish Engulfing Pattern The opposite of the bullish version. A small green candle is followed by a large red one that engulfs it—signaling that bears are taking charge, often leading to a downtrend. d. Doji A doji occurs when the open and close prices are nearly the same, forming a very small body with long wicks. It shows indecision between buyers and sellers. Depending on its position within the trend, it may signal a reversal or continuation. e. Morning Star and Evening Star Morning Star: A three-candle pattern signaling a bullish reversal. It consists of a long red candle, a small indecisive candle (doji or small body), and a long green candle confirming the reversal. Evening Star: The opposite, signaling a bearish reversal, often found at the top of an uptrend. 5. Continuation Candlestick Patterns These patterns suggest that the current trend—up or down—is likely to persist. a. Rising Three Methods Appears in an uptrend. It starts with a strong green candle, followed by several small red candles (temporary pullback), and then another strong green candle breaking above the previous high—confirming the continuation of the bullish trend. b. Falling Three Methods The bearish version of the above. A large red candle, followed by small green candles, and another large red candle indicate that the downtrend will continue. c. Bullish and Bearish Harami Bullish Harami: A small green candle forms within the body of a prior large red candle—suggesting selling pressure is weakening. Bearish Harami: A small red candle forms inside a prior green one—hinting at potential downward movement. 6. Indecision or Neutral Candlestick Patterns Some patterns show uncertainty or consolidation—meaning traders are waiting for a breakout in either direction. a. Spinning Tops These candles have small bodies and long upper and lower wicks. They indicate a tug-of-war between buyers and sellers, ending in near balance. They often precede a breakout or trend reversal. b. Doji (Revisited) Depending on its position, a doji might signal hesitation within an existing trend or the start of a reversal once confirmed by subsequent candles. 7. Understanding Candlestick Context Candlesticks don’t work in isolation—they must be analyzed in context: Trend Direction: A bullish pattern in a strong downtrend may not succeed unless confirmed by volume or follow-up candles. Volume: High trading volume strengthens the validity of a pattern. Support and Resistance: Patterns near key levels (like support zones or resistance lines) carry more weight. Timeframe: Higher timeframes (daily or weekly charts) usually provide more reliable patterns than shorter ones (5-minute or 15-minute). Example: If a hammer forms near a major support level with high volume, it’s a strong indication that buyers are stepping in. 8. Common Mistakes When Reading Candlestick Patterns Ignoring Market Context: Patterns can fail if you don’t consider overall trend or support/resistance zones. Trading Without Confirmation: Always wait for confirmation—like a closing candle or volume spike—before entering trades. Overtrading Patterns: Not every pattern guarantees a reversal or breakout. Use them with other tools like moving averages or RSI. Forgetting Risk Management: Even the strongest pattern can fail. Use stop-loss orders to manage risk. 9. Combining Candlestick Patterns with Indicators To improve accuracy, traders combine candlestick patterns with: Moving Averages (to identify trend direction) RSI (Relative Strength Index) (to gauge overbought/oversold levels) MACD (Moving Average Convergence Divergence) (to confirm momentum shifts) Volume Indicators (to measure strength of buying or selling pressure) For example, a bullish engulfing pattern confirmed by RSI moving up from an oversold level is a strong buy signal. 10. Final Thoughts: Mastering Candlestick Patterns Candlestick analysis blends visual observation with emotional insight. Every candle tells a part of the story—who’s winning, who’s losing, and what might come next. To truly master candlesticks: Study real charts daily. Observe how patterns behave across different timeframes. Learn which patterns work best in trending versus ranging markets. Always confirm patterns with volume and momentum indicators. With consistent practice, candlestick patterns will become second nature, allowing you to anticipate price movements with greater confidence and precision.
NSE:SILVERBEESEducation
by TechnicalExpress
Small-Cap Index Funds Volatility Explained1. Understanding Small-Cap Index Funds Small-cap index funds track market indices composed of small-cap stocks—companies typically valued between ₹5,000 crore and ₹20,000 crore in India (or between $300 million and $2 billion globally). Examples include the Nifty Smallcap 100 in India or the Russell 2000 Index in the U.S. Unlike actively managed funds, index funds do not attempt to pick specific stocks; they simply mirror the performance of a predefined index. This makes them cost-effective and diversified, offering investors exposure to a wide range of small companies in one investment vehicle. While this diversification helps reduce the risk of individual company failure, it doesn’t eliminate market-level volatility, especially in the small-cap segment. 2. Why Small-Cap Stocks Are Volatile The key reason behind small-cap fund volatility lies in the nature of the underlying small companies. They are in the growth or expansion phase of their business cycle, which makes their earnings, cash flows, and valuations less stable than those of large, established firms. Let’s break down the main causes: a) Limited Financial Resources Small-cap companies often have restricted access to credit and lower cash reserves. During economic downturns or credit crises, they struggle more than large firms to raise funds or maintain operations, which can cause sharp price declines. b) Low Liquidity Shares of small-cap companies are traded less frequently. When investors rush to buy or sell, prices can swing widely because there are fewer buyers or sellers in the market. This low liquidity amplifies short-term price movements. c) Higher Business Risk Many small-cap firms operate in niche markets or rely on a limited set of products. This lack of diversification in business models means that any disruption—such as regulatory changes, technological shifts, or a key customer loss—can severely impact their earnings and, consequently, stock prices. d) Sensitivity to Economic Cycles Small caps are considered economic barometers. They perform strongly during expansions when demand and growth rise, but they can fall sharply during recessions or when interest rates rise. This cyclical nature adds to their volatility. e) Market Sentiment Investor perception plays a significant role in small-cap stock movements. In bullish phases, investors often become overly optimistic, driving prices to unsustainable levels. Conversely, during market corrections, fear can lead to steep declines. Hence, sentiment swings are more pronounced in small-cap segments. 3. Historical Perspective: Volatility Patterns Looking at historical data, small-cap indices have shown higher annualized volatility compared to large-cap indices. For instance, over long periods, the Nifty Smallcap 100 has displayed greater short-term fluctuations compared to the Nifty 50, though it has also offered higher potential returns over a 10-year horizon. Periods of extreme volatility often follow market corrections or macroeconomic uncertainty—like the 2008 global financial crisis or the 2020 pandemic. However, in recovery phases, small caps tend to rebound faster and outperform, as investors return to riskier growth opportunities. 4. Measuring Volatility in Small-Cap Funds Volatility can be measured using several metrics: a) Standard Deviation It measures how much a fund’s returns deviate from its average over time. A higher standard deviation indicates greater volatility. Small-cap index funds typically have a higher standard deviation than mid- or large-cap funds. b) Beta Beta measures a fund’s sensitivity to the overall market. A beta greater than 1 indicates that the fund is more volatile than the market. Small-cap funds usually have betas ranging from 1.2 to 1.5, meaning they move more sharply in both directions compared to broader market indices. c) Sharpe Ratio This metric shows how much excess return a fund provides per unit of risk. Although small-cap funds may have high volatility, if they generate proportionately higher returns, they can still deliver a favorable Sharpe ratio. 5. Short-Term vs Long-Term Volatility Volatility matters most in the short term. Over days, weeks, or months, small-cap index funds can experience large swings—sometimes 5–10% in a single session during turbulent times. However, over long investment horizons (5–10 years), these fluctuations tend to average out. Historically, investors who remained invested through multiple market cycles often benefited from the compounding effect of growth in small companies that later became mid- or large-cap giants. 6. Benefits of Volatility: Hidden Opportunities While volatility often sounds negative, it also presents opportunities for disciplined investors: Higher Growth Potential: Small companies have more room to grow their earnings, and as their valuations expand, investors benefit from capital appreciation. Mean Reversion: After sharp sell-offs, small-cap indices often recover quickly, offering attractive entry points. Diversification Advantage: Adding a small-cap index fund to a portfolio primarily composed of large-cap stocks can improve overall portfolio returns and balance risk. Thus, for long-term investors who can tolerate fluctuations, volatility can be a friend, not a foe. 7. Managing Volatility: Smart Investment Strategies To navigate small-cap volatility effectively, investors can adopt several strategies: a) Long-Term Approach Holding investments for 7–10 years allows time for small-cap companies to grow and for short-term volatility to even out. b) Systematic Investment Plan (SIP) Investing through SIPs helps average out the cost of purchase across market cycles, reducing the impact of volatility. c) Diversification Balancing small-cap exposure with mid-cap and large-cap funds creates a more stable portfolio. This helps cushion against sudden declines in the small-cap space. d) Regular Review Monitoring fund performance relative to benchmarks ensures that the fund continues to align with your risk tolerance and financial goals. e) Avoid Market Timing Trying to predict highs and lows in volatile segments often backfires. Staying invested consistently usually yields better results than frequent trading. 8. Who Should Invest in Small-Cap Index Funds? Small-cap index funds are not suitable for everyone. They best fit investors who: Have a high risk tolerance Seek long-term capital growth Can withstand temporary market declines Understand that volatility is part of the journey toward higher returns For conservative investors or those nearing financial goals, it’s advisable to keep small-cap allocation limited (say 10–15% of the equity portfolio). 9. Real-World Example Consider the Nifty Smallcap 100 Index. Between March 2020 and November 2021, it surged over 150%, reflecting a massive post-pandemic recovery. Yet, in 2022, the same index dropped around 25% due to global inflation concerns and rate hikes. This wide swing highlights the volatility inherent in small caps—but also their recovery power. 10. Conclusion Volatility in small-cap index funds is not inherently bad—it’s a reflection of the growth potential and risk embedded in smaller businesses. These funds fluctuate more because they mirror the economic pulse of emerging companies—dynamic, ambitious, and vulnerable. For patient, informed, and risk-tolerant investors, small-cap index funds can be powerful tools for long-term wealth creation. However, success requires discipline: understanding the market cycles, managing emotions during downturns, and staying invested long enough for volatility to transform into opportunity.
NSE:ICICIBANKEducation
by TechnicalExpress
City Union Bank: A Textbook Breakout After Years of ConsolidatioCity Union Bank has recently delivered a compelling technical setup that offers a classic case study in breakout trading. After years of sideways movement, the stock has finally breached a long-standing resistance level, signaling potential for a sustained uptrend. 🕰️ Multi-Year Consolidation and Breakout Historical Resistance Breached: The stock closed above its January 2020 high yesterday, marking a significant breakout on a closing basis. Consolidation Phase: From March 2020 to June 2025, the stock remained range-bound, forming a prolonged base. Such extended consolidations often precede powerful moves when broken. Breakout Confirmation: The recent price action above the consolidation range confirms a major breakout, suggesting a shift in market sentiment and potential for trend continuation. 💪 Strength in Price Action Sustained Above Key Moving Averages: The stock is trading well above its 50-day and 100-day moving averages. This alignment of short- and medium-term trend indicators reflects underlying strength and bullish momentum. Momentum Building: The Relative Strength Index (RSI) has moved above 50 and is now attempting to cross 70, a zone often associated with strong bullish momentum. This supports the breakout narrative and indicates increasing buying pressure. 📚 Educational Takeaways This setup offers several lessons for traders and investors: Breakouts from Long Consolidations: When a stock breaks out after years of consolidation, it often leads to sustained moves due to pent-up demand and re-rating by market participants. Closing Basis Matters: A breakout confirmed on a closing basis adds credibility, reducing the risk of false breakouts. Moving Averages as Support: Trading above key moving averages reinforces trend strength and can act as dynamic support levels. RSI as a Momentum Gauge: RSI crossing above 70 during a breakout can validate the strength of the move, especially when aligned with price and volume action. 🔍 Final Thoughts City Union Bank’s recent breakout is a textbook example of how patience during consolidation can pay off. With price action confirming strength and momentum indicators aligning, this setup could serve as a valuable reference for traders studying breakout strategies.
NSE:CUBLong
by NANARKAR
Silver (XAGUSD) Technical Overview Silver remains in consolidation after a recent pullback, holding support at 46.80. Price stays capped by a descending trendline, reflecting short-term selling pressure, though buyers continue to defend the lower boundary. ### Upside A breakout above 48.22 would strengthen bullish momentum, targeting 49.30 and potentially 50.65 if sustained. ### Downside A drop below 46.80 could extend losses toward 45.82. Sustained weakness below 45.80 may indicate a deeper correction. ### Trend Short-term bias is bearish to neutral. Bulls need a clear move above 48.22 to regain control. ### Strategy - Bullish: Buy only on a confirmed breakout above 48.22, aiming for 49.30 / 50.65, stops below 47.00. - Bearish: Sell near 48.22–49.30 or on a breakdown below 46.80, targeting 45.82, stops above 48.30. ### Key Levels - R2: 50.65 - R1: 49.30 - S1: 46.80 - S2: 45.82
FX:XAGUSD
by creative_share
Onmobile Global cmp 73.96 by Weekly Chart viewOnmobile Global cmp 73.96 by Weekly Chart view - Support Zone 62 to 68 Price Band - Resistance Zone 78 to 85 Price Band - Bullish Rounding Bottom under Resistance Zone - 1st Falling Resistance Trendline seems well sustained - Next hurdles are Dotted Falling Resistance Trendline and Resistance Zone - Volumes needed to provide fresh upside to give breakout above the Resistance - Stock price trending well with positive technical indicators EMA, MACD, RSI, SAR, SuperTrend
NSE:ONMOBILE
by PIYUSHCHAVDA
BTC New ATH or Low??BTC bounced around the 0.236 level ($98K) — a healthy retracement zone in a strong uptrend. The corrective structure from ~$125K to ~$95K looks like a wave-4 correction. The dotted trendline in your chart shows strong ascending support, which has held since early 2023. No major distribution signs yet — volume dips on red candles suggest profit-taking, not panic selling. Historically, BTC enters a supply squeeze rally 6–12 months post-halving. Miners’ supply drops, while demand from institutions rises. Primary short-term support (Fib 0.236)- $98K–$100K Trendline + previous breakout area- $93K–$95K Fib 0.382 retracement zone- $82K–$85K What should be the next goal.
BITSTAMP:BTCUSDShort
by nikhilvishwakarma322