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Stock analysis is used by traders to make buy and sell call. It’s an approach to make informed decisions while investing in stocks. Stock analysis can be categorised into – fundamental analysis and technical analysis. Fundamental analysis is evaluation of data from sources, including financial records, economic reports, company assets, and market share. Analysts typically study the company’s financial statements – balance sheet, income statement, cash flow statement, and footnotes. These statements are made available to the investors in the form of quarterly earnings, disclosures to stock exchanges in compliance with the Securities and Exchange Board of India (Sebi) norms. In fundamental analysis, the analysts particularly check for a company's core income, income from other sources, profitability, guidance, assets and liabilities and debt ratio among other parameters. The other method, i.e. the technical analysis focuses purely on statistical data. It works on two assumptions; one, the stock price reflects the fundamentals. Second, the study of past and present movement in prices can help determine the future price trends. Technical analysis primarily deals with price, volume, demand and supply factors. This method is effective only when supply and demand forces influence the market. However, when outside factors are involved in a price movement, technical analysis may not be successful. More

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  • Trade Spotlight: How should you trade Siemens, Torrent Pharma, Data Patterns, CAMS, PB Fintech, LTIMindtree, and others on Wednesday?

    Trade Spotlight: How should you trade Siemens, Torrent Pharma, Data Patterns, CAMS, PB Fintech, LTIMindtree, and others on Wednesday?

    The benchmark indices are expected to consolidate in the upcoming sessions and look for fresh triggers. Below are some trading ideas for the near term.

  • Trade Spotlight: How should you trade Titan, Shriram Finance, Jubilant Foodworks, NALCO and others?

    Trade Spotlight: How should you trade Titan, Shriram Finance, Jubilant Foodworks, NALCO and others?

    The market is anticipated to sustain its upward bias in the forthcoming sessions. Here are some trading ideas for the near term.

  • Hot Stocks: Petronet LNG, Data Patterns, Bharat Electronics may deliver 18-20% returns

    Hot Stocks: Petronet LNG, Data Patterns, Bharat Electronics may deliver 18-20% returns

    In terms of levels, immediate resistance for Nifty is noted at 22,900, followed by further resistance at 23,170 and 23,400. Conversely, crucial support levels are identified at 22,500 and 22,300.

  • Trade Spotlight | Your strategy for Data Patterns, BHEL, New India Assurance today

    Trade Spotlight | Your strategy for Data Patterns, BHEL, New India Assurance today

    New India Assurance Company has seen a decisive breakout of long downward sloping resistance trendline on the weekly charts and surpassed previous swing high of February 15, 2021.

  • Trade Spotlight | How you should deal in Larsen & Toubro, Oil India, Data Patterns today

    Trade Spotlight | How you should deal in Larsen & Toubro, Oil India, Data Patterns today

    Data Patterns India continued to consolidate since the mid of September and formed Doji candlestick pattern on the daily scale, but tested 50-day EMA (Rs 2,113) and went closer to falling resistance trendline during the day. The stock rose 0.85 percent to Rs 2,099 on the NSE

  • Trade Spotlight | Your game plan for Rossari Biotech, NCC, Data Patterns India today

    Trade Spotlight | Your game plan for Rossari Biotech, NCC, Data Patterns India today

    NCC has seen a breakout of nearly a month-long consolidation and formed strong bullish candlestick pattern on the daily scale with robust volumes. In fact, the trading volume was highest since January 2 this year.

  • Analysts initiate coverage on 5 stocks with buy rating, expect 14-39 percent returns

    Analysts initiate coverage on 5 stocks with buy rating, expect 14-39 percent returns

    Brokerages see opportunities in companies including Star Health, Data Patterns, Cipla, Aditya Birla Capital and KPIT Technologies

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