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Info Edge (India) Limited (NAUKRI) Stock - Complete Technical Analysis - Sep 04, 2024

Info Edge (NAUKRI) Stock Analysis: Key Support

Disclaimer: This analysis is for informational purposes only and should not be considered financial advice. Investing in stocks involves risks, and it's essential to conduct thorough research or consult with a financial advisor before making investment decisions. For Info Edge (India) Limited, currently trading at 7,435, let's dive into the technical analysis. The stock shows a robust upward trend as indicated by the Average Directional Index (ADX), which is above 39, suggesting strong momentum. However, the Relative Strength Index (RSI) is around 55, pointing to a neutral but slightly bullish sentiment. The MACD indicates a strong upward trend, with the MACD line above the signal line. The Stochastic %K is around 57, showing that the stock is neither overbought nor oversold. On the other hand, the Stochastic RSI is quite low, hinting at potential oversold conditions despite the MACD strength.

In terms of moving averages, the price is currently above all key Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), indicating a bullish trend. The 10-day EMA at 7,491 and the 50-day EMA at 7,068 are notable for immediate support and resistance levels. The Classic Pivot point is at 7,395, which could act as a support level if the price declines. Key resistance levels to watch are around the Woodie Pivot R1 at 8,151 and the Fibonacci Pivot R1 at 7,755.

Volatility is captured by the Average True Range (ATR), which is on the higher side, suggesting significant price swings. The Hull Moving Average at 7,514 and the Ichimoku Base Line at 7,264 provide additional context for short-term support and resistance.

In summary, the stock appears to be in a strong uptrend with considerable volatility. Traders should watch for support at 7,395 and potential resistance around 7,755 to 8,151. The technical indicators suggest a bullish outlook, but with caution due to the high ATR and mixed signals from the Stochastic RSI.





 

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