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Algo & Quant Trading in IndiaIntroduction The Indian financial markets have witnessed a remarkable transformation over the past two decades. From open outcry systems in regional stock exchanges to fully automated electronic trading platforms, India’s capital markets have evolved into one of the fastest-growing ecosystems in the world. Among the most significant developments in recent years is the rise of algorithmic trading (algo trading) and quantitative trading (quant trading). In simple terms: Algorithmic trading uses pre-programmed computer instructions (algorithms) to execute trades in financial markets. Quantitative trading relies on mathematical and statistical models to identify trading opportunities. Together, they form the backbone of modern high-speed and data-driven trading strategies. In India, the adoption of algo and quant trading has grown rapidly, supported by advances in technology, regulatory approval, and the increasing sophistication of market participants. This article provides a comprehensive 3000-word description of algo and quant trading in India, including its evolution, functioning, strategies, regulatory landscape, challenges, and the future ahead. Evolution of Algo & Quant Trading in India Early 2000s: The Seeds of Automation The National Stock Exchange (NSE) introduced electronic trading systems in the 1990s, replacing traditional open outcry methods. This laid the foundation for automated order placement. However, at that time, trading was still manual — brokers placed buy and sell orders directly. The first signs of algorithmic trading emerged in the early 2000s, when institutional investors started experimenting with Direct Market Access (DMA). This allowed traders to place orders directly into the exchange’s trading system without manual intervention by brokers. 2008: SEBI’s Green Signal In 2008, the Securities and Exchange Board of India (SEBI) formally allowed algorithmic trading in India. This was a landmark event. Initially, adoption was slow due to high costs, lack of awareness, and limited technological infrastructure. 2010s: Rapid Growth The next decade saw exponential growth in algo trading: The NSE introduced co-location facilities (where traders could place their servers near exchange servers to reduce latency). Institutional investors, hedge funds, and proprietary trading firms increasingly adopted algorithmic and quantitative strategies. Retail participation remained limited, but brokers began offering algo-based tools to their clients. By 2019, about 50% of trading volume on Indian exchanges was driven by algorithms, mostly by large institutions. 2020s: Democratization of Algo Trading With the rise of fintech, APIs, and discount brokers, algo and quant trading started reaching retail traders. Platforms like Zerodha Streak, Upstox API, and others began offering plug-and-play strategies for small investors. Today, algo trading is not just the playground of hedge funds and foreign investors — even retail traders in India are experimenting with coding their own strategies. What is Algo Trading? Algo trading refers to computerized trading where pre-programmed rules determine the execution of trades. These rules can include price, timing, volume, and mathematical models. For example, instead of manually watching charts and entering trades, a trader can program: “If Nifty 50 rises above its 50-day moving average and volume increases by 20%, buy 100 shares of HDFC Bank.” The computer will then execute this trade instantly and without emotions. Benefits of Algo Trading Speed: Orders are executed in milliseconds. Accuracy: Eliminates manual entry errors. Emotion-Free: No fear, greed, or panic. Backtesting: Traders can test strategies on historical data. Cost Efficiency: Reduces market impact and transaction costs. What is Quant Trading? Quantitative (quant) trading is a step deeper than algo trading. It uses advanced mathematical, statistical, and computational models to identify profitable patterns in markets. For example, a quant trader might use machine learning models to analyze correlations between global interest rates, currency fluctuations, and Indian equity prices to predict short-term opportunities. Key Features of Quant Trading Data-Driven: Relies heavily on historical and real-time data. Models and Predictions: Uses regression, probability, and AI/ML algorithms. Risk Management: Emphasizes hedging and portfolio optimization. Scalability: Models can be applied across multiple assets and markets. In short, all quant trading is algorithmic, but not all algorithmic trading is quantitative. Algo can be simple rule-based, while quant involves complex mathematical logic. Popular Algo & Quant Strategies in India Indian traders and institutions use a wide variety of algo and quant strategies, depending on their goals, risk appetite, and access to data. Some of the most popular include: 1. Trend-Following Strategies Based on moving averages, momentum indicators, and breakouts. Example: Buy Nifty futures when the price crosses above 200-day EMA with high volume. 2. Arbitrage Strategies Exploit price differences across instruments. Types include: Cash-Futures Arbitrage: Buying stock in the cash market and selling futures when prices differ. Index Arbitrage: Exploiting mispricing between index futures and constituent stocks. 3. Statistical Arbitrage (Pairs Trading) Identify two historically correlated stocks (e.g., HDFC Bank and ICICI Bank). If correlation breaks temporarily, long one and short the other, expecting mean reversion. 4. High-Frequency Trading (HFT) Involves ultra-fast order execution using co-location servers. Firms place thousands of trades within seconds to capture tiny price inefficiencies. 5. Options-Based Algo Strategies Automated execution of straddles, strangles, iron condors, etc. Dynamic hedging using the Greeks (delta, gamma, theta). 6. Market Making Algorithms Providing liquidity by continuously quoting buy/sell prices. Profits earned from bid-ask spreads. 7. Quantitative Models Factor investing (value, momentum, quality). Machine learning predictions (random forest, neural networks). Sentiment analysis using news and social media. Regulatory Landscape in India Algo and quant trading in India are tightly regulated by SEBI to ensure fairness and reduce systemic risks. Key Regulations Approval Requirement: Brokers offering algo services must get approval from exchanges. Risk Controls: Mandatory circuit breakers, order limits, and risk checks before execution. Co-Location Services: Exchanges offer equal access to minimize unfair advantages. Audit Trails: Brokers must maintain complete records of all algo trades. Retail Algo Regulations (2022): SEBI proposed stricter oversight on retail algo platforms to prevent misuse and scams. Concerns for Regulators Market manipulation through spoofing and layering. Flash crashes caused by runaway algorithms. Unequal playing field between institutions and small traders. Despite these challenges, SEBI has been proactive in encouraging innovation while maintaining safety. Technology Infrastructure Algo and quant trading in India require robust technology: Low Latency Networks: Millisecond execution is crucial. Co-Location Facilities: Placing servers near exchanges. APIs and Algo Platforms: Brokers like Zerodha, Upstox, and Interactive Brokers provide APIs. Programming Languages: Python, R, C++, and Java are widely used. Data Feeds: Real-time tick data from NSE/BSE is critical. Conclusion Algo and quant trading are reshaping India’s capital markets. What began as an institutional experiment in 2008 has now become mainstream, driving nearly half of all exchange volumes. While challenges remain in terms of regulation, infrastructure, and retail education, the future looks promising. India’s unique mix of high market participation, growing fintech innovation, and regulatory oversight positions it as a global hub for algorithmic and quantitative trading. In the coming years, the line between human and machine-driven decisions will blur further. Traders who adapt to this new paradigm — whether retail or institutional — will be better placed to thrive in the fast-paced world of Indian financial markets.
NSE:EIHOTELEducation
by TechnicalExpress
Step-by-Step Guide to Crafting a Winning Trading PlanStep 1: Define Your Trading Goals The foundation of any trading plan begins with clarity. What do you want to achieve? Financial Goals: Are you trading to build long-term wealth, generate short-term income, or diversify your portfolio? Return Expectations: Do you expect 10–15% yearly returns like a conservative investor, or are you aiming for aggressive 50–100% gains with higher risk? Lifestyle Goals: Do you want trading to be a full-time career, a side hustle, or just a way to grow savings? 👉 Example: Rohit, a part-time trader, sets a goal to earn 15% annually by swing trading stocks. His focus is on consistency, not hitting lottery-style wins. This goal shapes his strategy and risk limits. Key takeaway: Be realistic. Setting unattainable goals leads to frustration and reckless decisions. Step 2: Choose Your Trading Style Your lifestyle, time availability, and personality should define your trading style. The main types are: Scalping: Ultra-short-term trades, lasting seconds or minutes. Requires speed, focus, and advanced tools. Day Trading: Multiple trades within a day, no overnight positions. Best for those who can monitor markets closely. Swing Trading: Positions held for days to weeks. Suitable for part-timers. Position Trading/Investing: Long-term trades based on fundamentals and macro trends. 👉 Example: If you have a full-time job, swing trading or position trading may suit you. If you can dedicate 6–8 hours daily, day trading could work. Key takeaway: Don’t copy someone else’s style. Align your trading style with your time and personality. Step 3: Select Your Market and Instruments Markets are vast. A winning plan focuses on a specific set of instruments: Stocks/Equities – Suitable for both beginners and professionals. Futures & Options – For leverage and hedging, but carry higher risks. Forex – Highly liquid, global 24/5 market. Commodities – Gold, silver, crude oil for diversification. Cryptocurrencies – Highly volatile, but opportunities exist for skilled traders. 👉 Example: Meera decides to specialize in Indian equities and Nifty50 futures instead of spreading across forex and crypto. This sharp focus makes her more skilled in her chosen area. Key takeaway: Specialization beats generalization in trading. Step 4: Risk Management Rules No trading plan is complete without risk management. This protects your capital and ensures longevity. Risk per Trade: Never risk more than 1–2% of your total capital in one trade. Position Sizing: Adjust trade size based on account size and stop-loss distance. Stop-Loss: Predetermine exit levels to prevent catastrophic losses. Diversification: Don’t put all your capital in a single stock or sector. Drawdown Limits: Decide how much of your capital you’re willing to lose before stopping trading (e.g., 10–15%). 👉 Example: If you have ₹5,00,000 capital, risking 1% means you can lose only ₹5,000 per trade. If your stop-loss is ₹50 away, your position size should be 100 shares (₹5,000 ÷ ₹50). Key takeaway: Risk management ensures survival—the #1 rule in trading. Step 5: Develop Entry and Exit Strategies A trading plan must clearly define when to enter and exit trades. Entry Criteria Technical indicators (RSI, MACD, Moving Averages, Volume Profile). Chart patterns (Head & Shoulders, Breakouts, Pullbacks). Fundamental triggers (earnings reports, economic data). Exit Criteria Profit targets (e.g., 2:1 risk-reward ratio). Trailing stop-loss to lock in profits. Time-based exit (close trade if target not hit in X days). 👉 Example: Raj trades breakouts. His plan: Enter above resistance with 2:1 risk-reward. Stop-loss below support. Exit if the stock fails to break in 3 days. Key takeaway: A defined strategy prevents emotional, random decisions. Step 6: Trading Psychology and Discipline Even the best plan fails if you lack emotional control. Stick to the Plan: Don’t override your rules based on gut feelings. Avoid Overtrading: More trades ≠ more profits. Quality over quantity. Detach from Money: Think in terms of percentages, not rupees/dollars. Accept Losses: Losses are part of the game. Don’t chase revenge trades. 👉 Example: Anita sets 3 trades per day as her maximum. Even if she feels she can take more, she respects her limit to avoid overtrading. Key takeaway: Discipline is the bridge between planning and profits. Step 7: Record Keeping and Journaling A trading plan is incomplete without a trading journal. Record: Entry/exit prices Reason for trade Outcome (profit/loss) Emotions felt during trade 👉 Example: Over 3 months, a trader notices most of his losses come from trades taken outside his strategy. Journaling reveals weak spots. Key takeaway: Journaling turns mistakes into lessons. Step 8: Review and Improve the Plan Markets evolve—so should your plan. Weekly Reviews: Check if trades followed your rules. Monthly Reviews: Analyze win rate, risk-reward, and profits. Quarterly Adjustments: Update strategies if market conditions change. 👉 Example: A trader’s breakout strategy worked in trending markets but failed in sideways markets. Reviewing allowed him to add a range-trading method. Key takeaway: Flexibility ensures your plan stays relevant. Common Mistakes Traders Make When Planning Overcomplicating the plan with too many indicators. Ignoring risk management while chasing profits. Copying another trader’s plan without customization. Setting unrealistic expectations. Not reviewing performance regularly. Conclusion: Turning Your Plan into Profit A trading plan is more than a document—it’s your personal trading compass. It defines your goals, trading style, risk tolerance, and strategy. More importantly, it keeps emotions in check and brings consistency. The steps are simple but powerful: Define goals. Choose style. Select instruments. Manage risk. Build entry/exit rules. Control emotions. Keep records. Review and improve. Every professional trader has a plan. Every failed trader ignores one. If you want long-term success, commit to your trading plan, refine it with experience, and let it guide every move.
NSE:EIHOTELEducation
by TechnicalExpress
10
Derivatives in India: Secret Strategies for Massive ReturnsChapter 1: Understanding the Derivative Landscape in India Before diving into strategies, it’s essential to understand the structure of derivatives in India. 1.1 What Are Derivatives? A derivative is a financial contract whose value is derived from an underlying asset—such as stocks, indices, commodities, or currencies. In India, the most popular derivatives are: Futures: Obligatory contracts to buy/sell at a predetermined price and date. Options: Rights (but not obligations) to buy (call) or sell (put) at a specified price. 1.2 Key Milestones in India’s Derivatives Market 2000: NSE introduced index futures (Nifty 50). 2001: Index options and stock options launched. 2002: Stock futures introduced. 2020s: Surge in retail participation, especially in weekly options like Bank Nifty and Nifty. 1.3 Why Derivatives Matter in India High Liquidity: Nifty and Bank Nifty options are among the most traded contracts globally. Leverage: Small capital can control large positions. Risk Management: Hedging against market volatility. Speculation: Rapid gains (or losses) from price swings. Chapter 2: The Psychology of Massive Returns Before we look at the “secret strategies,” it’s important to highlight the psychological aspect. 2.1 Retail vs. Institutional Mindset Retail traders often chase short-term profits, influenced by tips and news. Institutions focus on risk-adjusted returns and hedging. 2.2 The Power of Discipline The secret to massive returns isn’t chasing every trade but mastering risk control. Successful derivative players: Limit losses using stop-loss orders. Diversify positions. Understand implied volatility and time decay. 2.3 The Illusion of Quick Money Many traders blow up accounts because derivatives magnify both profits and losses. True success comes when strategies align with market structure. Chapter 3: Secret Derivative Strategies for Massive Returns Now let’s uncover the advanced and lesser-known strategies that experienced traders in India deploy. 3.1 The “Covered Call” Strategy How it works: Buy a stock and sell a call option on the same stock. Why it works in India: Many Indian stocks (like Infosys, HDFC Bank, Reliance) have stable long-term growth. Covered calls allow investors to earn extra income through premiums. Secret Edge: Institutions frequently roll over covered calls, effectively compounding returns. 3.2 The “Straddle & Strangle” Trick Before Events Straddle: Buy both a call and a put at the same strike price. Strangle: Buy a call and a put at different strike prices. When to use: Before high-volatility events (Union Budget, RBI monetary policy, earnings). Secret Edge: In India, implied volatility (IV) tends to spike before events, allowing traders to profit even without large price moves. 3.3 The “Iron Condor” Strategy for Sideways Markets Setup: Sell an out-of-the-money call and put, and buy further out-of-the-money call and put. Why it works: Indian indices often consolidate after big moves, making non-directional strategies highly profitable. Secret Edge: Works exceptionally well during weeks when no major events are scheduled. 3.4 The “Calendar Spread” Advantage How it works: Sell near-term options and buy long-term options. Why it works in India: Weekly options expire every Thursday, while monthly options provide longer exposure. Traders exploit the faster time decay in short-term contracts. 3.5 The “Delta Neutral” Hedge Fund Style Strategy Concept: Create positions where overall delta (price sensitivity) is near zero, focusing on volatility instead of direction. Example: Combine futures and options to balance exposure. Secret Edge: Many prop desks in India use delta-neutral positions with high leverage to scalp volatility. 3.6 Bank Nifty Weekly Options: The Retail Goldmine Why Bank Nifty? It has the highest liquidity and volatility. Secret Trick: Institutions often sell far out-of-the-money (OTM) options to collect premiums, while retail traders chase cheap options. How to win: Instead of buying OTM lottery tickets, adopt option-selling strategies with strict risk management. 3.7 “Event-Based Futures Arbitrage” Concept: Price discrepancies often exist between cash and futures markets during dividend announcements, stock splits, or mergers. Secret Edge: Advanced traders arbitrage these mispricings for near risk-free profits. 3.8 “Sectoral Rotational Strategies” How it works: Track which sector index (Nifty IT, Nifty Pharma, Nifty Bank) is gaining momentum. Secret Edge: Derivatives allow leveraged plays on sectors, amplifying returns during sectoral bull runs. Chapter 4: Institutional Secrets That Retail Misses Institutions and proprietary trading desks in India use strategies hidden from retail eyes. 4.1 Options Writing Dominance Data shows institutions and HNIs are net option sellers, while retail is usually on the buying side. Sellers win most of the time due to time decay (theta). 4.2 Smart Order Flow Analysis Institutions use algorithms to analyze open interest (OI) buildup. For example: Rising OI with price rise → Long buildup. Rising OI with price fall → Short buildup. Retail often ignores these signs. 4.3 Implied Volatility Arbitrage Big players monitor volatility skews between Nifty and Bank Nifty, or between weekly and monthly contracts. They profit from mispriced options that retail never notices. Chapter 5: Risk Management – The True Secret to Longevity No matter how powerful your strategy, risk management is the real differentiator. 5.1 The 2% Rule Never risk more than 2% of capital on a single trade. 5.2 Stop-Loss Discipline Options can go to zero, but a stop-loss saves you from portfolio collapse. 5.3 Position Sizing Institutions diversify across indices, stocks, and expiries to avoid overexposure. Retail traders should do the same. Conclusion Derivatives in India present unparalleled opportunities for those who know how to use them wisely. The secret strategies for massive returns aren’t really about exotic formulas—they’re about understanding volatility, market psychology, institutional behavior, and risk management. While retail traders often chase lottery-style option buying, the real winners are those who: Sell options with discipline. Use spreads and hedges to limit risks. Exploit volatility and time decay. Align trades with institutional flows. If you want to succeed in the derivative markets of India, stop searching for shortcuts. Instead, master these strategies, respect risk, and trade with a professional mindset. The potential for massive returns is real—but only for the disciplined few.
NSE:EIHOTELEducation
by TechnicalExpress
6
EIHOTEL 1 Day View📈 Daily Support & Resistance Levels Based on recent data, here are the critical levels: Support Levels: S1: ₹402.15 S2: ₹396.05 S3: ₹388.93 Resistance Levels: R1: ₹412.75 R2: ₹417.25 R3: ₹423.35 These levels are derived from standard pivot point calculations and provide insight into potential price reversal zones. 🔍 Technical Indicators Overview RSI (14-day): 55.79 – Neutral, indicating neither overbought nor oversold conditions. MACD: 7.41 – Suggests a bearish trend, as the MACD line is above the signal line. Moving Averages: 5-day EMA: ₹399.37 – Slightly below the current price, indicating a short-term bearish trend. 20-day EMA: ₹391.96 – Above the current price, suggesting medium-term bullish momentum. 50-day EMA: ₹381.97 – Above the current price, reinforcing the medium-term bullish outlook. 🧭 Trend Analysis The stock is trading above its 20-day and 50-day EMAs, which typically indicates a bullish trend. However, the MACD suggests a potential short-term bearish phase. Traders should monitor the support and resistance levels closely for potential breakout or breakdown opportunities.
NSE:EIHOTELLong
by TechnicalExpress
6
EIH LtdDate 27.08.2025 EIH Timeframe : Weekly Chart Technical Remark : (1) Buy Above 412 (2) Sell Below 401 (3) Weekly Candle spinning Top (4) Breakout Closing Pole & Flag + Ichimoku Cloud Fundamental Remarks : Pioneer of Luxury Hotels in India (1) Oberoi (2) Trident (3) Maidens Hotels (1) Domestic Keys : 3,772 keys across Oberoi, Trident, and Maidens brands. (2) International Keys : 497 under The Oberoi Brand Pipeline Project (1) Expansion plans include 20 properties (2) Aiming 1,350 keys by 2029 (11 domestic and 9 international) Additional Businesses (1) Air Charter Services (2) Car Rental through a joint venture (AVIS India Mobility Solutions) (3) Mixed-use developments, including retail and F&B spaces Key Data Points Owned Hotels (1) ARR ₹16,940 (2) Occupancy % 73% (3) RevPAR ₹12,364 Managed Hotels (1) Average Daily Rate ₹16,398 (2) Occupancy 72% (3) RevPAR ₹11,807 Zero Debt and Higher Asset Base (1) Has total assets of 5267 Crs (2) Zero debt (3) The company was cash-positive with ~Rs. 711 Crs Key Valuations (1) Stock PE 32 (2) ROCE 23.4% (3) ROE 18% (4) OPM 37.4% (5) Sales Growth 9.86% (6) Profit Growth 23.55% Regards, Ankur
NSE:EIHOTEL
by AnkurSingh
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 Breakout in CUPID BUY TODAY SELL TOMORROW for 5%
NSE:EIHOTEL
by Kapil-Mittal
5
EIH-Will it break or fall back to support?EIH Limited has recently exhibited multiple inside bar patterns on its daily chart. An inside bar occurs when a candlestick's price range is entirely contained within the range of the preceding bar, signaling market consolidation and potential for a significant price movement. The presence of multiple inside bars suggests a period of low volatility, often preceding substantial breakouts. Consider monitoring EIH's price action closely, as a decisive move beyond the mother bar's range could indicate the next directional trend. Disclaimer: This analysis is for informational purposes only and should not be construed as financial advice. Please conduct your own research before making investment decisions.
NSE:EIHOTEL
by sandeepbalachandran
EIHOTEL - Stock to be in RADAR and Hidden Trendlines MarkedView : To be determined Entry Zone- Once the price breaks out of the Black color trendline with a strong green candle. Timeframe: Daily Notes: The price has been consolidating since Feb 2024, forming a Wedge pattern. Also, Hidden line marked in black color. Resistance and support levels are marked on the chart, showing how the price has consistently respected these levels. * This is not a trading recommendation; for educational purposes only
NSE:EIHOTELLong
by Breakout_Spotter
Turning Bullish: EIH Introduction EIH is the pioneer of luxury hotels in India. EIH primarily owns and manages premium luxury hotels and cruisers under the luxury Oberoi, Trident and Maidens brands. The Company is also engaged in flight catering, airport restaurants, project management and corporate air charters. Fundamentals: Market Cap: ₹ 24,461 Cr.; Stock P/E(Ind. P/E): 38.5 (46.64); Book Value: ₹ 63.0; Dividend Yield: 0.31 %; ROCE: 23.6 %; ROE: 17.6 %; Compounded Sales Growth (TTM): 20%; Compounded Profit Growth (TTM): 56% Company has delivered good profit growth of 30.2% CAGR over last 5 years Cons: OPM: 26%(Sep.2024) down from 41%(Jun 2024) Technical Analysis EIH is trading near the important support level of 391. Resistance levels: 406, 427, 461, 485 Support levels: 379, 365, 391
NSE:EIHOTELLong
by shanmurali
EIH Ltd: Symmetrical Triangle Breakout Imminent EIH Ltd is forming a symmetrical triangle pattern on the hourly chart, with price action squeezing towards the apex. A breakout above 385 would signal a potential upward move, targeting the 410 zone. The RSI is trending upwards, indicating building bullish momentum. Watch for a volume spike to confirm the breakout, which could result in a swift move higher. Keep an eye on the support at 370 for stop loss placement in case of any pullback.
NSE:EIHOTELLong
by Marketik
1
EIH Bullish Setup on Breakout of Descending TrendlineEIH is showing a potential breakout from the descending trendline on the daily chart, coupled with a bounce from the lower Bollinger Band, which suggests a reversal in momentum. The stock has found strong support near 365, with RSI indicating a slight bullish divergence. If the price breaks above the 390 resistance level, further upside towards 410-420 can be expected. Traders should watch for a confirmed breakout with volume for sustained momentum.
NSE:EIHOTELLong
by Marketik
Flag Pattern and Support LineThis appears to be a strong support line, as it has been tested more than three times, and a FLAG pattern has also formed. It seems to be creating BOXES. Waiting to see if it breaks below this box to make lower lows. In comparison to its peers, its P/E ratio is only 36.23, while Indian Hotels, Chalet Hotels, Lemon Tree Hotels, Juniper Hotels, and Mahindra Holidays have P/E ratios of 78.69, 80.92, 67.23, 176.39, and 66.61, respectively. Trident and Oberoi Hotels, renowned for their presence in the luxury segment, need no introduction. From a long-term perspective, this could be a solid investment, but the valuation still seems high, similar to the broader market. NSE:EIHOTEL
NSE:EIHOTELLong
by RZR22
EIHOTEL Trade Analysis for Buy using Wyckoff methodWyckoff Story Prior to trading range we were in uptrend and then we have Stoping action and CHoCH (Change of character). Let’s assume our bias is accumulation based on CHoCH as we don’t see lot of supply in the CHoCH. Down wave Analysis We can see that the volatility of the down wave is decreasing from Phase A to Phase D, confirming the accumulation Bias. Volume Analysis We have supply decrease from Phase A to Phase C indicating supply is being absorbed. Final View Bullish on stock with entry marked on the chart
NSE:EIHOTELLong
by ksujit08
Bullish set-up in EIHOTEL!!!EIHOTEL is showing strong momentum in technicals. 1. Stock broke out of descending triangular Pattern after long consolidation and gave strong follow-through after the breakout. 2. Stock has filled the earnings gap quickly and currently sustaining above the gap area signifying strength of the buyers. 3. Stock has tested 50EMA once and bounced back quickly. 4. Trading in a tight range and tested resistance level of 425-430 multiple times making the resistance weak. Fundamentally the company is well positioned and is showing consistent earings growth which is clearly visible in the performance of the share price. Hotel industry is witnessing sectoral tailwinds and EIHOTEL is taking advantage of the same. Takeaway - technically 425 to 430 will be best Entry point, watch out for increasing volumes on intraday basis to take entry and trailing the SL based on the risk appetite is suited strategy to play this out.
NSE:EIHOTELLong
by saikrishna9999