Get started

Cryptomarket

GIFT Nifty & Global Index Correlations1. Introduction The Indian financial ecosystem has undergone a significant transformation with the emergence of GIFT Nifty, a rebranded and relocated avatar of the former SGX Nifty. As India sharpens its global financial ambitions through GIFT City (Gujarat International Finance Tec-City), the GIFT Nifty has become a key component of the country’s market-linked globalization strategy. But how does GIFT Nifty correlate with global indices like the Dow Jones, NASDAQ, FTSE 100, Nikkei 225, Hang Seng, and others? What signals can traders extract from global market trends before the Indian markets open? This article explores in detail the correlation dynamics, strategic trading implications, and macroeconomic interlinkages between GIFT Nifty and major global indices. 2. Understanding GIFT Nifty 2.1 What is GIFT Nifty? GIFT Nifty is the derivative contract representing the Nifty 50 index, now traded on the NSE International Exchange (NSE IX), based in GIFT City, Gujarat. It replaced SGX Nifty, which was earlier traded on the Singapore Exchange. 2.2 Trading Timings (as of 2025) GIFT Nifty offers nearly 21 hours of trading, split into: Session 1: 06:30 AM to 03:40 PM IST Break: 03:40 PM to 04:35 PM IST Session 2: 04:35 PM to 02:45 AM IST (next day) This extended timing gives Indian and global investors the chance to react to major international events before the NSE opens. 3. Why GIFT Nifty Matters in Global Context 3.1 Price Discovery Previously, SGX Nifty was used globally to gauge early cues on Indian markets. Now, GIFT Nifty fulfills that role and is even more significant because it's regulated by Indian authorities. 3.2 Liquidity Bridge Foreign investors prefer GIFT Nifty because of: Tax neutrality (IFSC jurisdiction) Global accessibility Ease of hedging and arbitrage opportunities 3.3 Strategic Global Position Being open almost all day, GIFT Nifty trades during: Asian trading hours European sessions Part of US session This makes it a strategic derivative bridge between Indian equity markets and global macro flows. 4. Global Indices Overview: Benchmarks that Influence Index Country Nature Dow Jones USA Blue-chip, Industrial NASDAQ USA Tech-heavy, Growth S&P 500 USA Broad-market gauge FTSE 100 UK Multinational, Export-led DAX Germany Industrial + Auto-heavy Nikkei 225 Japan Export, Tech-heavy Hang Seng Hong Kong/China China proxy Kospi South Korea Semiconductors & Auto ASX 200 Australia Commodities & Finance 5. Key Correlation Patterns: GIFT Nifty & Global Indices 5.1 US Markets (Dow, NASDAQ, S&P 500) Time Lag Advantage: GIFT Nifty's evening session overlaps with the US market opening hours, making it sensitive to Dow/NASDAQ moves. Risk-On/Risk-Off Trends: If the NASDAQ or S&P 500 is sharply rising or falling due to earnings, inflation data, or Fed policy, GIFT Nifty reacts instantly. Example: Fed raises interest rates → US markets drop → GIFT Nifty falls in Session 2 → Nifty 50 opens gap-down next day. Correlation Type: Short-term positive correlation, especially during high-volatility events like CPI data or FOMC meetings. 5.2 European Markets (FTSE 100, DAX, CAC 40) Mid-Day Influence: European indices open in the afternoon IST, during GIFT Nifty’s Session 1. Their influence is moderate, often acting as early signals. Macroeconomic Impact: German or UK GDP data, ECB policy, or political issues (e.g., Brexit) affect GIFT Nifty during Session 1. Example: Weak PMI in Europe → FTSE falls → Risk aversion spreads → GIFT Nifty may drift lower. Correlation Type: Indirect correlation; significant during global crises or common central bank themes (e.g., inflation). 5.3 Asian Markets (Nikkei 225, Hang Seng, Kospi, ASX 200) Morning Cue Providers: Asian indices open before or along with GIFT Nifty’s Session 1, providing the first directional hint for Indian markets. China Sentiment Impact: Hang Seng and Shanghai Composite are highly sensitive to China policy. Their movements impact EM sentiment, which includes India. Example: Weak China export data → Hang Seng crashes → GIFT Nifty opens weak → Nifty follows suit. Correlation Type: Early session leading indicators, often showing short-term correlation due to regional capital flow sentiments. 6. Real Market Scenarios (Case Studies) 6.1 Fed Rate Hike Day – March 2025 US Market: Dow fell 500 points post-Fed hawkish tone. GIFT Nifty Reaction: Dropped 120 points in the 2nd session. Next Day NSE Open: Nifty 50 gapped down by 110 points. Inference: Strong US market correlation, with GIFT Nifty acting as a real-time risk indicator for Indian markets. 6.2 China Lockdown News – July 2024 Asian Markets: Hang Seng fell 4% due to Beijing lockdown. GIFT Nifty Session 1: Opened weak and stayed under pressure. European Markets: Added to risk-off mood. Inference: GIFT Nifty reflected immediate EM sentiment decline, even before Indian equities opened. 7. Correlation Statistics (Indicative) Index Average Correlation Coefficient (6-Month Daily Returns)* S&P 500 +0.55 (moderate positive) NASDAQ +0.47 (tech-led directional link) Dow Jones +0.52 (risk sentiment) Nikkei 225 +0.41 (Asian correlation) Hang Seng +0.48 (China-linked flows) FTSE 100 +0.35 (weak to moderate) Note: Correlation coefficients range from -1 (inverse) to +1 (perfect positive). Above +0.4 shows moderate correlation. 8. Correlation Factors: What Drives Interlinkage 8.1 Global Risk Sentiment Markets move together when there is either extreme fear (e.g., war, recession) or exuberance (e.g., tech rally, global rate cuts). 8.2 Dollar Index (DXY) & US Bond Yields When the Dollar rises, emerging markets like India often see outflows, affecting GIFT Nifty. 8.3 Crude Oil India imports >80% of its oil. Rising crude → inflation risk → negative for Indian markets → reflected in GIFT Nifty. 8.4 Institutional Flows Foreign Institutional Investors (FIIs) hedge positions through GIFT Nifty based on global triggers like Fed policy or earnings in the US. 8.5 Tech & IT Linkage Indian IT stocks (Infosys, TCS) are correlated with NASDAQ performance due to global outsourcing demand. Conclusion The GIFT Nifty’s correlation with global indices is not just statistical—it’s strategic. It acts as a real-time risk barometer for Indian markets, influenced by global capital flows, geopolitical risks, tech trends, and central bank moves. While the correlations vary across geographies, they offer a powerful predictive framework for active traders and investors alike. By mastering how GIFT Nifty reflects or diverges from global benchmarks like the Dow Jones, NASDAQ, Nikkei, or FTSE, traders can make more informed entry-exit decisions, especially during pre-market and overnight sessions.
BSE:SENSEXEducation
by TechnicalExpress
1
Gold, Silver & Commodity Trading (MCX)What is MCX (Multi Commodity Exchange)? The Multi Commodity Exchange of India Ltd. (MCX) is a government-regulated commodity derivatives exchange, launched in 2003. It is regulated by SEBI (Securities and Exchange Board of India) and allows traders to buy and sell commodity futures contracts across various categories like: Bullion: Gold, Silver Energy: Crude oil, Natural gas Base Metals: Copper, Zinc, Lead, Aluminum, Nickel Agricultural commodities: Cotton, Cardamom, Mentha Oil MCX operates similarly to stock exchanges like NSE or BSE but deals in commodity contracts rather than equities. Factors That Influence Gold & Silver Prices Understanding price drivers helps traders anticipate market movement: 🏦 1. Global Economic Conditions Inflation Recession fears GDP data 🪙 2. Currency Movements Gold is priced in USD globally. The USD-INR exchange rate significantly impacts domestic prices. 📉 3. Interest Rates Rising interest rates make non-yielding assets like gold less attractive, pushing prices lower, and vice versa. 💥 4. Geopolitical Tensions War, political instability, or crisis (Middle East conflict, Ukraine war, etc.) often boost gold/silver prices. 🛢️ 5. Crude Oil Prices High oil prices can lead to inflation, making gold more attractive as a hedge. 💼 6. Central Bank Policies Actions by RBI or Federal Reserve (US) in terms of gold reserves, rate hikes, or monetary policy changes affect sentiment.
NSE:HDFCBANK
by TechnicalExpress
4
"BTC’s Liquidity Grab: Is the Bull Ready to Charge?"🧠 Key Observations: Break of Structure (BOS): Multiple BOS levels confirm shifts in market structure from bullish to bearish and back. The latest BOS near the support zone suggests a possible shift from bearish to bullish trend. Support & Resistance Zones: Resistance marked near the 120,241 level, which is also the target zone. Support is clearly respected around the 114,898 level with price reacting strongly near the equal lows. Liquidity Hunt: Price swept the sell-side liquidity below the equal lows around 114,000 and bounced. This indicates smart money might have collected liquidity before pushing the price higher. Bearish FVG (Fair Value Gap): A bearish imbalance around the 117,000 zone acted as a resistance during the previous rally. Price might revisit this area for a mitigation before continuation to the upside. Volume Profile (left side): High volume nodes indicate significant trading interest in that region, confirming key price acceptance zones. 🎯 Expected Move: If price sustains above the support zone and confirms bullish intent with higher highs, we may see a move towards the target at 119,637 – 120,241 zone. 📌 Conclusion: Market has potentially formed a liquidity grab and BOS, signaling a bullish reversal. If this structure holds, BTCUSD could target the resistance area. However, if the price breaks below 114,000 again, it might invalidate this bullish setup.
BITSTAMP:BTCUSDLong
by Mentor_Michael03
BTCUSD-Eyes 120000 after Liquidity Sweep & Support RetestPrice action on the 15-min chart shows Bitcoin forming a potential bullish continuation after a liquidity sweep below short-term support. Here’s what stands out: 🔹 Triple Tap Support: Price respected a key zone multiple times, hinting at strong buyer interest. 🔹 Post-Sweep Reaction: Sharp recovery followed by consolidation suggests demand re-entered the market. 🔹 SignalPro Context: Leola Lens™ SignalPro highlighted key zones (yellow + orange), offering caution and trend context. 🔹 Projected Path: With price stabilizing above the reclaimed zone, potential upside target aligns with the 120000 region. 📌 Educational Note: This setup highlights how liquidity collection below support and subsequent recovery can offer clues to short-term directional intent. Always manage risk based on volatility and session context.
BITSTAMP:BTCUSDLong
by LEOLALENS-OFFICIAL
Institutional Intraday option Trading High Volume Trades: Institutions trade in huge lots, often influencing Open Interest. Data-Driven Strategy: Backed by proprietary models, AI, and sentiment analysis. Smart Order Flow: Institutions use algorithms to hide their positions using Iceberg Orders, Delta Neutral Strategies, and Volatility Skew. ⚙️ Tools & Indicators Used: Option Chain Analysis Open Interest (OI) & OI% Put Call Ratio (PCR) Implied Volatility (IV) Max Pain Theory Gamma Exposure (GEX) 🧠 Common Institutional Strategies: Covered Calls – Generate income on large stock holdings. Protective Puts – Hedge downside risk. Iron Condor / Butterfly Spread – Capture premium with neutral view. Long Straddle/Strangle – Expecting big move post-news. Synthetic Longs/Shorts – Replicating stock exposure using options.
NSE:BANKNIFTYEducation
by SkyTradingZone
11
Rise of Algorithmic & Momentum-Based Strategy Innovation🧠 Introduction The world of trading has changed drastically in recent years. Gone are the days when investors made decisions based on gut feeling, tips from friends, or simply following news headlines. Today, technology and data dominate the markets. A big part of this transformation is due to two fast-evolving areas of strategy: Algorithmic Trading (Algo Trading) Momentum-Based Trading Strategies Together, these innovations are not just making trading faster—they're making it smarter, more scalable, and, in some cases, more profitable. Let’s explore this rise of strategy-driven trading in simple, relatable terms. ⚙️ What Is Algorithmic Trading? Algorithmic trading (or "algo trading") refers to using pre-programmed computer code to buy and sell stocks or other financial assets. These programs follow specific sets of rules and conditions like: Price movements Volume changes Timing of the trade Technical indicators News sentiment (in advanced models) Instead of a human watching charts all day, the algorithm scans multiple assets simultaneously and executes trades at lightning speed when conditions are met. 🔍 Why Is It Popular? Speed: Algos react in milliseconds. Accuracy: Reduces human errors. Discipline: Emotions like fear or greed don’t interfere. Scalability: Can track hundreds of instruments at once. ⚡ What Is Momentum-Based Trading? Momentum trading is based on a simple principle: "What is going up will likely keep going up (at least for a while), and what is going down will keep going down." Momentum traders try to ride these price trends. They don’t care much about why something is moving—they care that it is moving. A momentum-based strategy focuses on: Relative Strength Index (RSI) Moving Averages Breakouts above previous highs Volume surges In today’s digital world, most momentum strategies are now executed through algorithms, bringing us to the heart of this innovation wave. 💡 Why Is Strategy Innovation Booming in 2025? 1. Availability of Real-Time Data In the past, getting real-time stock prices or volume data was expensive or difficult. Today, thanks to modern brokers and APIs, anyone can access tick-by-tick data in real time. This has democratized trading innovation. 2. Cloud Computing & Machine Learning Cloud platforms like AWS, GCP, and Azure now allow even small traders to run complex models. Add machine learning to the mix, and you can build: Predictive price models Auto-optimizing strategies Real-time anomaly detectors This tech stack is fueling rapid innovation in custom algos and momentum-based systems. 3. Rise of API Brokers Brokers like Zerodha (via Kite Connect), Upstox, and Dhan offer APIs that allow traders to: Place trades programmatically Access order books Monitor positions via code This has opened the doors for retail coders and quant enthusiasts to create strategies from their bedrooms—something only institutions could do a decade ago. 4. Market Volatility & Liquidity Modern markets, especially post-COVID and now with geopolitical unrest, are fast-moving and noisy. Traditional long-term investing sometimes feels too slow. This has created fertile ground for short-term strategies like intraday momentum and algo scalping. 🧬 Types of Momentum-Based Algo Strategies Gaining Popularity 1. Breakout Algos Entry: When price breaks above a resistance level or 52-week high. Exit: After achieving target return or on breakdown. 2. Mean Reversion Momentum Belief: Stocks that over-extend eventually revert back to mean. Algo buys on dips and sells on peaks, based on Bollinger Bands or Moving Average deviations. 3. Relative Momentum Rotation Focus: Switch between sectors/stocks showing strongest momentum. Example: If Auto sector shows higher returns than Pharma over 4 weeks, the algo reallocates capital into Auto. 4. High-Frequency Momentum Based on volume spikes, price speed, and Level-2 data. Needs co-location or ultra-low latency to profit from small tick movements. 📊 Real-World Examples (2025 Trends) Nifty and Bank Nifty Momentum Bots Retail algo traders now use trend-following strategies on Nifty weekly options, taking intraday calls when the index crosses VWAP + 2%. SME IPO Listing Day Momentum Plays Some traders have built algos that scan listing price action and jump in when a stock breaks opening highs with volume. AI-Augmented Algos AI-powered bots use NLP (Natural Language Processing) to analyze earnings calls, company announcements, and even tweets. If sentiment is strongly positive, they take long positions. 🧠 Benefits of These Innovations ✅ For Retail Traders: Better access to tools once exclusive to hedge funds. Ability to automate their edge. Save time watching screens all day. ✅ For Institutions: Lower execution costs. Scalable strategies across global markets. Statistical models reduce dependence on human traders. 🧱 Challenges and Limitations ❌ Overfitting in Backtests Just because a strategy worked in the past doesn't guarantee future success. Many algos “look perfect” in backtests but fail in live trading. ❌ API Latency and Downtime Retail infrastructure is not as reliable as institutional setups. Brokers may experience order delays or API failures. ❌ Regulation Risk SEBI and global regulators are watching algo trading closely. Flash crashes or manipulative algos can bring scrutiny and even bans. ❌ Emotional Disengagement Too much automation can make traders disconnected from market context. Sometimes, manual intervention is needed. 🧭 What’s the Future of These Strategies? 🔮 1. AI + Algo = Self-Learning Bots The next wave of bots may not follow fixed rules. They may adapt automatically by learning from market behavior—almost like an evolving trader. 🔮 2. Regulation Around Algo Trading Expect more regulation in 2025–2026 to ensure fairness and stability. SEBI may require audits or sandbox testing before public deployment. 🔮 3. Community-Based Innovation Open-source algo trading platforms (like Blueshift, QuantConnect, etc.) are becoming collaborative hubs where traders share and upgrade each other's strategies. 🔄 How Can a Retail Trader Start? ✅ Step 1: Learn Python or Use No-Code Platforms Python is the language of algo trading. If you can’t code, use platforms like AlgoTest, Tradetron, or Streak. ✅ Step 2: Start Small Begin with paper trading or small capital. Don’t go all-in until you have confidence and historical data. ✅ Step 3: Choose a Clean Strategy Start with something simple—like RSI + Moving Average crossover, and backtest on Nifty. ✅ Step 4: Track Metrics Measure win ratio, drawdown, average profit per trade. Good algo traders analyze more than they trade. ✍️ Final Words The rise of algorithmic and momentum-based strategy innovation is reshaping India’s trading landscape. It’s making the game smarter, faster, and more competitive. But like every tool, it depends on how you use it. These strategies aren’t magic bullets—they're systems that require patience, research, and constant optimization. For traders willing to invest in knowledge and tools, the opportunities are exciting. For those hoping to “copy-paste” quick riches, the market may prove costly. In 2025 and beyond, the best traders may not be those with the sharpest eyes—but those with the smartest code.
NSE:NIFTYEducation
by TechnicalExpress
2
DOGE Long Swing Setup – Institutional Narrative Heating UpThe Dogecoin narrative is back in focus! Bit Origin ( NASDAQ:BTOG ) is raising $500M to build one of the world’s largest DOGE treasuries—becoming the first U.S.-listed company to treat CRYPTOCAP:DOGE as a core asset. With institutional interest rising, DOGE could see renewed momentum. Our last trade surged 50%—here’s the next entry: 📌 Trade Setup: • Entry Zone: $0.20 – $0.21 • Take Profit Targets: o 🥇 $0.23 – $0.24 o 🥈 $0.27 – $0.28 • Stop Loss: Daily close below $0.18 #crypto #DOGE #BTOG
Long
by Richtv_official
renderwithme | IO.Net Technical Chart for the Next Six Months Price Prediction for next six Months 2025 Price Range: Based on various forecasts, IO.Net is expected to trade between approximately $0.500 and $1.3 in August 2025. The minimum price could be around $0.400, with a potential peak of $2. Bullish Scenario: If bullish momentum continues, driven by factors like institutional inflows or positive developments, IO.Net could test the $1 –$2 range or even approach $3 by late August. A breakout and close above $2.200 could trigger a rally toward $3 – $3.8. Please refer the chart ~~ Disclaimer ~~ This analysis is based on recent technical data and market sentiment from web sources. It is for informational \ educational purposes only and not financial advice. Trading involves high risks, and past performance does not guarantee future results. Always conduct your own research or consult a SEBI-registered advisor before trading. # Boost and comment will be highly appreciated.
Long
by renderwithme
renderwithme | ETH Price Prediction for next six Months 2025 Price Prediction for next six Months 2025 Price Range: Based on various forecasts, Ethereum (ETH) is expected to trade between approximately $2,500 and $3,360 in August 2025. The minimum price could be around $2,519.80, with a potential peak of $3,360.36. The average trading price is projected to be around $2,800–$3,100. Bullish Scenario: If bullish momentum continues, driven by factors like institutional inflows or positive network developments, ETH could test the $3,150–$3,300 range or even approach $3,500 by late August. A breakout and close above $3,100 could trigger a rally toward $3,550–$3,800. Bearish Scenario: If market sentiment turns negative, due to macroeconomic uncertainties or regulatory pressures, ETH could dip to $2,470–$2,500, with a potential further decline to $2,400 if support levels fail. ~~ Disclaimer ~~ This analysis is based on recent technical data and market sentiment from web sources. It is for informational \ educational purposes only and not financial advice. Trading involves high risks, and past performance does not guarantee future results. Always conduct your own research or consult a SEBI-registered advisor before trading. # Boost and comment will be highly appreciated.
BINANCE:ETHUSDLong
by renderwithme
4
Option TradingInvesting Approach by Institutions ✅ Investment Philosophy: Long-term horizon Focus on fundamentals (P/E, ROE, growth) Sector rotation and macro trends ✅ Allocation Strategies: Strategic Asset Allocation (SAA) Tactical Asset Allocation (TAA) Smart Beta and Factor Investing Trading Strategies by Institutions 🔹 High-Frequency Trading (HFT) Executes thousands of trades in milliseconds Relies on arbitrage, price inefficiencies 🔹 Statistical Arbitrage Mean-reversion strategies using historical patterns 🔹 Swing & Trend Trading Use technical indicators like MACD, Moving Averages, RSI
NSE:BANKNIFTYEducation
by SkyTradingZone
2
Advance Option Trading Why Institutions Prefer Options Leverage – Control large positions with small capital Risk Management – Protect portfolios Cash Flow – Earn premium income Volatility Play – Earn from IV rise/fall Customization – Tailored exposure using exotic options Core Strategies Used by Institutions 1. Protective Puts Buy puts to insure large stock holdings against downside risk. 2. Covered Calls Earn premium income on long-term stock holdings. 3. Calendar Spreads Take advantage of time decay and volatility differences. 4. Straddles & Strangles Bet on volatility movement, not direction. Tools Used by Institutional Option Traders Bloomberg Terminal – Real-time data, pricing models Quantitative Models – Black-Scholes, Binomial Trees Algo Execution – Smart order routing Risk Management Software – VaR, Greeks analysis Option Analytics Platforms – Orats, Trade Alert
OANDA:BTCUSDEducation
by SkyTradingZone
2
Option Trading Part-1 What Is Institutional Option Trading? Institutional Option Trading involves using derivatives (Options) for: Hedging big equity portfolios Speculating on volatility or price movement Arbitrage opportunities 🔹 Key Techniques: Volatility Arbitrage Delta-Neutral Hedging Covered Calls Protective Puts Iron Condors & Spreads How Institutions Use Options Differently ✅ Retail Focus: Naked calls/puts Directional trades Limited capital ✅ Institutional Focus: Portfolio insurance Complex multi-leg strategies Implied Volatility arbitrage Event-based hedging (like earnings or Fed news)
NSE:NIFTYEducation
by SkyTradingZone
3
Institution Option Trading What Is Trading? Trading refers to buying and selling financial instruments (stocks, options, futures) in financial markets for profit. It can be: Retail Trading – Done by individual investors. Institutional Trading – Conducted by large organizations like banks, mutual funds, hedge funds. What Is Investing? Investing involves allocating capital with the expectation of long-term wealth generation. It focuses on: Value appreciation Dividends or returns over time Longer holding periods
NSE:BANKNIFTYEducation
by SkyTradingZone
2
renderwithme | Bitcoin Technical Analysis for August 2025 # Price Trends: Bitcoin is trading above key exponential moving averages (EMAs) on daily charts (20-day: $108,285; 50-day: $105,843; 100-day: $101,952; 200-day: $95,985), signaling sustained bullish momentum. # Support and Resistance:Support: $110,000–$111,909 is a critical support zone. A drop below could test $105,000 or $101,000. # Resistance: $125,724–$126,000 is the next hurdle. A breakout above could target $145,000–$150,000 Chart for your reference ~~ Disclaimer -- This analysis is based on recent technical data and market sentiment from web sources. It is for informational \ educational purposes only and not financial advice. Trading involves high risks, and past performance does not guarantee future results. Always conduct your own research or consult a SEBI-registered advisor before trading. #Boost and comment will be highly appreciated
Long
by renderwithme
Best Possible Elliott Wave Counts: ETHUSDHello friends, Welcome RK_Chaarts. Today we're attempting to analyze Ethereum's chart from an Elliott Wave perspective. Looking at the monthly timeframe chart, we can see that from the beginning, around 2015-2016, when data is available, to the top in 2021 we have a Super Cycle degree Wave (I) marked in blue, which has completed. Next, June 2022 we have a bottom around $874, marking the end of Super Cycle Wave (II) in blue. We are now unfolding Wave (III), which should have five sub-divisions. Within this, the red Cycle degree Wave I and Wave II have completed, and we have possibly started the third of third wave. Monthly: Moving to a lower timeframe (Weekly) where we observed the completion of blue Wave (II) and the start of Wave (III), we notice that within this, the red Cycle degree Wave I and Wave II have completed, and we've possibly started Wave III of cycle degree marked in Red. Furthermore, friends, within this third wave, we've marked the black Primary degree Waves ((1)) and ((2)), which we've labeled as Rounded ((1)) and Rounded ((2)). We're assuming these are complete, and Wave ((3)) has started, which is our current working hypothesis. Weekly: Now, if we move to a lower timeframe, such as the daily chart, we can see that the Cycle degree Wave II, which ended at 1385.70, has been followed by a Primary degree black Wave ((1)) in Black & Wave ((2)) has pulled back, completing Waves ((1)) and ((2)), and now Primary degree Wave ((3)) has started. Possible wave counts on Daily Within Wave ((3)), we expect five Intermediate degree waves. We've marked the first Intermediate degree Wave (1) in blue, which is currently unfolding. If we move to an even lower timeframe, such as the 4-hour chart, we can see that within the Intermediate degree blue Wave (1), there are five Minor degree sub-divisions marked in red. Waves 1 and 2 are complete, and Wave 3 is nearing completion. Possible wave counts on 4 Hours: Once Wave 3 is complete, we expect Waves 4 and 5 to follow, completing the Intermediate degree blue Wave (1). After that, we may see a dip in the form of Wave (2), followed by a continuation of the bullish trend as blue Wave (3). Possible wave counts on 60 Min: Friends, based on our multi-timeframe analysis, the overall wave structure appears bullish. We've provided snapshots of each timeframe, and you can see the nearest invalidation level marked with a red line. In this study, we're using Elliott Wave theory and structure, which involves multiple possibilities. The scenario we're presenting seems plausible because it's aligned across multiple timeframes and adheres to Elliott Wave principles. However, please remember that this analysis can be wrong, and you should consult with a financial advisor before making any investment decisions. This post is shared purely for educational purposes, to illustrate possible Elliott Waves. I am not Sebi registered analyst. My studies are for educational purpose only. Please Consult your financial advisor before trading or investing. I am not responsible for any kinds of your profits and your losses. Most investors treat trading as a hobby because they have a full-time job doing something else. However, If you treat trading like a business, it will pay you like a business. If you treat like a hobby, hobbies don't pay, they cost you...! Hope this post is helpful to community Thanks RK💕 Disclaimer and Risk Warning. The analysis and discussion provided on in.tradingview.com/u/RK_Chaarts/ is intended for educational purposes only and should not be relied upon for trading decisions. RK_Chaarts is not an investment adviser and the information provided here should not be taken as professional investment advice. Before buying or selling any investments, securities, or precious metals, it is recommended that you conduct your own due diligence. RK_Chaarts does not share in your profits and will not take responsibility for any losses you may incur. So Please Consult your financial advisor before trading or investing.
BITSTAMP:ETHUSDLong
by RK_Chaarts
13
$SUI Inverse H&S FormingA large inverse Head & Shoulders pattern appears to be forming on $SUI. The $3.1758 zone looks like a solid area to long — potentially marking the bottom of the second shoulder. If a deeper correction occurs, I'm also watching the $2.7473 level for another possible long entry. My plan is to pre-position by longing near the second shoulder. Once $3.5902 breaks and we get a successful retest, the pattern would be confirmed. From there, a 50% move up toward the neckline target of $5.6252 could follow. This is not financial advice. Trade at your own risk.
Long
by utkarshx27
BITCOIN Just Smashed a 50-Day Supply Wall — Breakout or Fakeout Bitcoin (BTC/USDT) on the Daily & Weekly Timeframe just pulled off something BIG: ✅ Broke out of a 50-day consolidation range ✅ Closed above a strong Daily supply zone ✅ Cracked both DTF & WTF resistance lines (including a higher-high dynamic DTF resistance) ✅ Volume confirmation with a strong green candle 📌 This is an extremely bullish structure for short-term scalping ideas. But Wait — What’s Happening Technically? Supply Zone: This orange box is where BTC got sold off multiple times before. Breaking above this = strong bullish intent. ⚠️ Caution: Bitcoin is the King of Fakeouts 👑🐍 BTC has a notorious nature for false breakouts, trapping both bulls and bears. That’s why: 🧠 Best Strategy = Trap Trading OR ⏳ Wait for a pullback and retest of broken zones on higher timeframes . Plan your trade - trade your plan . Don't chase — let price come to you. 💬 Drop your thoughts / doubts in comments. 📌 Not financial advice — just me and my Emotions
Long
by Averoy_Apoorv_Analysis