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Trend Analysis

Nifty trades and targets for - 26/2/25Hello Everyone. The market was in a very tight range the previous day. Let the resistance or support range break with 15-minute candle before going for any trades. If we do trades in between these zones premium eating will happen and we end up seeing losses. Book profits every 30 points as we are getting very few trending moves. If the market opens flat then we can see continuation of trend. If it opens gap up then we need to see the resistance level to break before looking for CE trades. If it opens gap down then look for PE trades after support zone is broken. Let the market settle in first 15 to 40 minutes then look for directional trades.
NSE:NIFTY
by GOPISRI
NIFTY Trading Strategy for 25th Feb 2025NIFTY Intraday Trading Strategy Buy Setup 📈 Enter a BUY trade above the high of the 15-minute candle that closes above 22,675. Targets: Target 1: 22,705 Target 2: 22,758 Target 3: 22,801 Stop-Loss (SL): Can be placed below the low of the breakout candle or as per risk management. Sell Setup 📉 Enter a SELL trade below the low of the 15-minute candle that closes below 22,510. Targets: Target 1: 22,469 Target 2: 22,435 Target 3: 22,401 Stop-Loss (SL): Can be placed above the high of the breakdown candle or as per risk management. Important Notes ✅ Always follow proper risk management and position sizing based on your capital. ✅ Wait for confirmation – Do not enter based on a spike; wait for a solid close above/below the levels. ✅ Keep an eye on market trends, news, and global cues before taking a position. ✅ This strategy is suitable for intraday trading; ensure to monitor price action closely. 🚨 Disclaimer 📢 I am not a SEBI-registered analyst. The above trading levels are purely for educational and informational purposes only. Please conduct your own research and consult with a SEBI-registered financial advisor before making any trading decisions. Trading in the stock market involves risk, and past performance does not guarantee future results.
NSE:NIFTY
by ramkkyy
Nifty50 Prediction for 25-02-2025Resistance Zone (~22,639.45 & 22,714.35 - Red Lines) The price is struggling to break above these resistance levels. If the price breaks and sustains above 22,639.45, it could push towards 22,714.35. Support Zones (~22,530.00 & 22,476.75 - Green Lines) 22,530.00: Immediate support; a break below this level could lead to further downside. 22,476.75: Stronger support; if broken, the price may fall further. Descending Trendline (Blue Line) The price is continuously making lower highs. A break above this trendline could indicate a bullish reversal. Possible Price Scenarios (Blue Arrows) Bullish Move: Breakout above the descending trendline and 22,580, leading to 22,639.45 and potentially 22,714.35. Bearish Move: Break below 22,530 could trigger a fall toward 22,476.75.
NSE:NIFTY
by scibokaro
Gold Trading Strategy for 25th Feb 20254📌 GOLD INTRADAY TRADE SETUP 📌 📈 BUY SETUP (Bullish Scenario) ✅ Entry: Buy above the high of the 15-minute candle that closes above 2963 🎯 Target Levels: 🔹 Target 1: 2973 🔹 Target 2: 2982 🔹 Target 3: 2990 🛑 Stop-Loss (SL): Below the low of the same 15-minute candle 📉 SELL SETUP (Bearish Scenario) ❌ Entry: Sell below the low of the 15-minute candle that closes below 2921 🎯 Target Levels: 🔻 Target 1: 2916 🔻 Target 2: 2904 🔻 Target 3: 2890 🛑 Stop-Loss (SL): Above the high of the same 15-minute candle ⚠️ Important Notes & Risk Management: 🔸 Wait for a proper 15-minute candle close before confirming an entry. 🔸 Do not enter prematurely—let the price action confirm the setup. 🔸 Stick to stop-loss to protect capital and minimize risk. 🔸 Use position sizing to manage risk effectively. 🔸 Be mindful of news events and volatility that may impact gold prices. 📢 Disclaimer: This analysis is for educational and informational purposes only. Trading in financial markets involves high risk, and past performance does not guarantee future results. Always conduct your own research and consult a financial professional before making any trading decisions. The author is not responsible for any financial losses incurred. 🚀 Trade Smart, Trade Safe! ✨📊
TVC:GOLD
by ramkkyy
Database trading part 2# **Database Trading – Part 2: Data Collection & Analysis for Profitable Trading** In **Part 1** of this series, we introduced the concept of **Database Trading**, where traders use structured market data to improve decision-making and strategy development. Now, in **Part 2**, we will explore **how to collect, organize, and analyze market data** for effective trading strategies. --- ## **1️⃣ Why is Data Collection Important in Trading?** 📌 **Definition:** Data collection is the process of gathering **historical and real-time market data** to identify trading patterns, trends, and profitable setups. 📌 **Why is it Important?** ✅ **Removes Guesswork** – Traders rely on data-driven decisions instead of emotions. ✅ **Identifies Market Patterns** – Historical data helps detect **high-probability setups**. ✅ **Backtests Strategies** – Validates whether a strategy works before using real money. ✅ **Enhances Risk Management** – Understanding past behavior improves stop-loss & position sizing. 📌 **Example:** A trader analyzing **5 years of Nifty 50 data** can find **the most profitable days for intraday trading** and avoid low-volatility periods. --- ## **2️⃣ Types of Data Required for Database Trading** To build a strong database for trading, you need different types of data: ### **🔹 1. Market Data (Price & Volume Data)** ✅ **OHLC Data (Open, High, Low, Close)** – Used for price action analysis. ✅ **Volume Data** – Confirms trend strength and breakouts. ✅ **Tick-by-Tick Data** – Useful for HFT (High-Frequency Trading). ✅ **Historical Data** – Past price movements for backtesting strategies. 📌 **Example:** If **Nifty 50 breaks resistance with high volume**, it’s a **strong bullish signal**. --- ### **🔹 2. Derivatives Data (Futures & Options Data)** ✅ **Open Interest (OI)** – Shows how many contracts are open, indicating strength of a trend. ✅ **Put-Call Ratio (PCR)** – Helps identify market sentiment (bullish or bearish). ✅ **Implied Volatility (IV)** – Measures expected market movement. 📌 **Example:** If **PCR is above 1.5**, it indicates that there are more put options than calls, signaling **bearish sentiment**. --- ### **🔹 3. Fundamental & Macro Data** ✅ **Company Financials** – Earnings, revenue, debt, etc., for stock selection. ✅ **Economic Indicators** – Inflation, GDP, interest rates affect market trends. ✅ **News & Events** – FOMC meetings, RBI policy, geopolitical events impact volatility. 📌 **Example:** A **high CPI inflation report** may lead to **interest rate hikes**, affecting stock market movements. --- ### **🔹 4. Sentiment Data (Social Media & News Analytics)** ✅ **Twitter, Reddit, Financial News Sentiment Analysis** ✅ **Earnings Call Transcripts & Institutional Reports** 📌 **Example:** A sudden spike in **negative sentiment about a company** can indicate a potential **sell-off** before it reflects in the charts. --- ## **3️⃣ How to Collect Market Data for Database Trading?** ### **🔹 1. Free Sources for Market Data** ✅ **Yahoo Finance** – Historical & real-time data for stocks, indices, and forex. ✅ **TradingView** – Provides technical indicators and live price data. ✅ **NSE/BSE Website** – Option chain data, open interest, and stock market reports. 📌 **Example:** A trader downloads **5 years of Nifty 50 historical data** from Yahoo Finance to analyze past market trends. --- ### **🔹 2. API-Based Data Collection** For real-time data analysis, traders use APIs: ✅ **Alpha Vantage** – Free API for stock & forex market data. ✅ **Binance API** – For crypto market data. ✅ **NSE/BSE API** – Option chain & futures market data. 📌 **Example:** A Python script using **Alpha Vantage API** can fetch **daily stock prices** and store them in a database for analysis. --- ### **🔹 3. Web Scraping for Sentiment Analysis** ✅ **BeautifulSoup & Selenium (Python)** – Extracts news headlines, social media sentiment, and stock discussions. ✅ **Google Trends** – Measures search interest in stocks & crypto. 📌 **Example:** If **Google Trends shows increased searches for "buy Bitcoin,"** it indicates growing retail interest. --- ## **4️⃣ Organizing Market Data for Efficient Trading** Once data is collected, it must be **structured** properly for analysis: ### **🔹 1. Storing Data in a Database** ✅ **SQL Databases (PostgreSQL, MySQL)** – Used for structured historical market data. ✅ **NoSQL Databases (MongoDB, Firebase)** – Best for unstructured sentiment data. ✅ **CSV & Excel Files** – Suitable for small-scale traders. 📌 **Example:** A trader stores **5 years of Nifty 50 OHLC data** in a **PostgreSQL database** for backtesting. --- ### **🔹 2. Cleaning & Formatting Data** Before analysis, remove errors & format data: ✅ **Remove Duplicates & Missing Values** ✅ **Adjust for Corporate Actions (Splits, Dividends)** ✅ **Normalize Data (Scaling & Standardization)** 📌 **Example:** A stock split from ₹1000 to ₹500 should be **adjusted in the historical data** to maintain consistency. --- ## **5️⃣ Analyzing Data for High-Probability Trading Setups** ### **🔹 1. Identifying Trends & Patterns** Use statistical tools to find repeating patterns: ✅ **Moving Averages (SMA, EMA)** – Identify trend direction. ✅ **Bollinger Bands** – Detect volatility expansion. ✅ **RSI & MACD** – Measure momentum shifts. 📌 **Example:** If **Nifty’s 50-day EMA is above the 200-day EMA**, it signals a **bullish trend**. --- ### **🔹 2. Statistical Models for Market Analysis** ✅ **Mean Reversion Models** – Stocks tend to return to their average price. ✅ **Time Series Forecasting (ARIMA, LSTM)** – Predicts future prices based on past trends. 📌 **Example:** A **mean reversion strategy** might suggest **buying Nifty when RSI < 30** and selling when RSI > 70. --- ### **🔹 3. Correlation & Market Sentiment Analysis** ✅ **Sector Correlation** – Stocks in the same sector often move together. ✅ **Sentiment Scores** – AI-based sentiment analysis for stocks & crypto. 📌 **Example:** If **Crude Oil prices rise**, it may indicate a **bullish trend in energy stocks**. --- ## **6️⃣ Case Study: Using Database Trading for Nifty 50** A trader collects **5 years of Nifty 50 data**, stores it in SQL, and analyzes it using Python. The strategy: ✅ **Entry:** Buy when Nifty 50 RSI < 30 (oversold). ✅ **Exit:** Sell when Nifty 50 RSI > 70 (overbought). ✅ **Result:** Backtesting shows a **65% win rate** with a 1:2 risk-reward ratio. --- ## **7️⃣ Conclusion & Next Steps** ✅ **Data collection is the foundation of database trading.** ✅ **Structured & clean data helps identify high-probability trades.** ✅ **API integration & web scraping provide real-time market insights.** .
NSE:ICICIBANK
by Optionclub
#INDIANHUME - Reversal Pattern (W Bottom Pattern)📊 Script: INDIANHUME Key highlights: 💡⚡ 📈 W Bottom Pattern at Demand Zone 📈 Deman Zone tested 📈 W Bottom Pattern BO in DTF 📈 Volume Spike Seen 📈 MACD can give a Bounce 📈 Price consolidated for 31Days 📈 One can go for Swing Trade ⚠️ Over All Market condition is bad, Practice paper trading 🟢 If you have any questions regarding the setup, please feel free to leave your inquiries in the comments, and I will respond promptly. BUY ONLY ABOVE NA DCB ⏱️ C.M.P 📑💰- 373 🟢 Target 🎯🏆 – NA% ⚠️ Stoploss ☠️🚫 – Below Swing Low% ⚠️ Important: Always Exit the trade before any Event. ⚠️ Important: Always maintain your Risk & Reward Ratio. ✅#Boost, #Like & #Follow to never miss a new idea! ✅ Disclaimer: I am not SEBI Registered Advisor. My posts are purely for training and educational purposes. Eat🍜 Sleep😴 TradingView📈 Repeat 🔁 Happy learning with MMT. Cheers!🥂
NSE:INDIANHUMELong
by MMT_MakeMoneyTrading
BOSS, I'M TIRED! ETH.BINANCE:ETHUSDT 4H 1. 21 DAY in the range of 2500-2800 usdt. 2. The theft of 1.4 billion from BYBIT did not cause an abnormal sell-off by large sellers, despite the fact that this is the largest single hack in history! 3. This indicates the absence of panic on the part of institutional investors + active demand from large buyers. EXPECTATIONS: The most likely scenario is a hike to the lower boundary of the range and the removal of stops by potential long traders. From there, I expect a rotation to the upper boundary.
Short
by LemonBrazers
2
Quess Corp LtdDate 23.02.2025 Quess Corp Timeframe : Weekly Technical Remark : 1 Execute buy trade only once exit from the handle. 2 Or closes above handle, keep the low of handle as stoploss - weekly basis 3 Head & Shoulder's neckline + Cup & handle's neckline are same therefore its key support & resistance zone for the stock. Company Profile Quess Corp Limited is a business services company that provides staffing, IT, and facility management services. They also offer HR outsourcing, payroll, and training services. Other services Security Food services Telco network services Company Essentials Market Cap ₹ 9,179.59 Cr II Enterprise Value ₹ 9,187.40 Cr. P/E 20.83 II P/B 3.13 Book Value (TTM) ₹ 197.39 II CASH ₹ 300.22 Cr. DEBT ₹ 308.02 Cr II Promoter Holding 56.57 % EPS (TTM) ₹ 29.62 II Sales Growth 14.18% ROE 13.73 % ROCE 13.95 % Profit Growth 64.98 % Strength 1 Company has reduced debt. 2 Company has been maintaining a healthy dividend payout of 43.6% 3 Company's median sales growth is 26.3% of last 10 years Weakness 1 Stock is trading at 3.14 times its book value 2 Company has a low return on equity of 9.48% over last 3 years. Holding Pattern Promoter 56.57 % DII 10.45 % FII 15.24 % Public 17.73 % Regards, Ankur
NSE:QUESSLong
by AnkurSingh
1
2.24 Gold Price Daily Strategy Disclosure2.24 Gold Price Daily Strategy Disclosure Gold's trend today is completely in line with the low-long expectations. The current decline and long-term thinking remains unchanged. Today's bottoming rebound is strong. Currently, the US market and the Asian market are combined to hit the previous high again. Support below 2935, 2920 According to the strength of the callback, the upper side gradually probes 2955, 2965, 2980! Operation suggestion: Continue to go long in the 2935-2940 range, stop loss 2925 Target: 2955, 2962!
OANDA:XAUUSD
by Louisa_King
Technical Analysis: Price Action & Trend Technical Analysis: Price Action & Trend: The stock has been in a downtrend within a falling wedge or descending channel. It is currently testing a key support level near S1/S2 pivot points. If it breaks above the channel, it could signal a trend reversal. Fibonacci & Pivot Levels: Key support levels: S1 (~108.21), S2 (~90.04). Resistance levels: R1 (~111.10), R2 (~170.78). A potential upside target is around R2 (170.78 INR). Risk-Reward Ratio: The target is set at 170.78 INR, which represents 53.72% potential upside. The stop-loss is set at 90.04 INR, a downside of 18.96%. The Risk/Reward ratio is 2.83, which is favorable. MACD Indicator: The MACD crossover looks weak, but any bullish divergence could confirm a reversal. Currently, the blue MACD line is below the orange signal line, which suggests bearish momentum. If MACD starts crossing above the signal line, it will confirm a buy signal. Prediction & Conclusion: If 108 INR holds as strong support, and the price breaks above the falling wedge, we could see a bullish breakout towards 170 INR. If it fails to hold, the next major support is around 90 INR. A buy signal will be confirmed if there is a breakout with strong volume.
NSE:SAILLong
by TrueVithbyVishwanath
NIFTY: Trend Shift Signals Deeper Correction PotentialTopic Statement: NIFTY has broken below its long-term up trendline, indicating a shift in trend with potential for further downside. Key points: 1. The price has breached the long-term up trendline, suggesting a bearish or sideways trend. 2. Immediate support may be found at the 23.6% retracement level at 21,851. 3. Further correction to the 38.2% retracement level at 19,100 is possible. 4. The trend will remain bearish or sideways until a breakout above the down-trendline occurs.
NSE:NIFTYShort
by yogeshwar