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Top stocks to buy today: Stock recommendations for May 21, 2025

Top stocks to buy today: Stock recommendations for May 21, 2025

Time of India21-05-2025

Top stocks to buy today (AI image)
Stock market recommendations
:
According to Mehul Kothari, DVP - Technical Research, Anand Rathi Shares and Stock Brokers, Chennai Petro, Jubilant Pharmova, and ONGC are the top stocks to buy today:
CHENNAI PETRO: BUY NEAR ₹670 | Stop Loss: ₹570 | Target: ₹870 (3 Months)
Chennai Petro has broken out of a prolonged consolidation phase, forming a classic inverse head and shoulders pattern.
The breakout is supported by strong volumes and has occurred above the 200 DEMA, adding strength to the bullish structure.
A positive crossover in ADX (14) and a breakout in the weekly RSI suggest trend initiation and fresh momentum. Traders may consider entering near ₹670 with a stop-loss at ₹570 and a target of ₹870 over the next 3 months.
JUBILANT PHARMOVA: BUY NEAR ₹980 | Stop Loss: ₹940 | Target: ₹1060 (Short Term)
Jubilant Pharmova has broken out above a previous swing high, confirming a range breakout.
A double bottom formation is visible on the charts, and RSI has shown a range shift above 60, which indicates bullish momentum. Traders can look to enter on dips near ₹980, keeping a stop-loss at ₹940 and targeting ₹1060 in the short term.
ONGC: BUY NEAR ₹250 | Stop Loss: ₹244 | Target: ₹260 (Short Term)
ONGC has also witnessed a breakout from its recent trading range. The stock has successfully reclaimed its 200 DEMA, a sign of strength returning to the trend.
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by Taboola
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The weekly RSI is turning up from support zones, adding confirmation. Traders may consider buying near ₹250 with a stop-loss at ₹244 and a short-term target of ₹260.
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There is a vast hidden workforce behind AI
There is a vast hidden workforce behind AI

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Technically, annotators give data the contextual information computers need to work out the statistical associations between components of a dataset and their meaning to human beings. In fact, anyone who has completed a CAPTCHA test, selecting photos containing zebra crossings, may have inadvertently helped train an AI. This is the 'unsexy" part of the industry, as Alex Wang, the boss of Scale AI, a data firm, puts it. Although Scale AI says most of its contributor work happens in America and Europe, across the industry much of the labour is outsourced to poor parts of the world, where lots of educated people are looking for work. The Chinese government has teamed up with tech companies, such as Alibaba and to bring annotation jobs to far-flung parts of the country. In India the IT industry body, Nasscom, reckons annotation revenues could reach $7bn a year and employ 1m people there by 2030. That is significant, since India's entire IT industry is worth $254bn a year (including hardware) and employs 5.5m people. Annotators have long been compared to parents, teaching models and helping them make sense of the world. But the latest models don't need their guidance in the same way. As the technology grows up, are its teachers becoming redundant? Data annotation is not new. Fei Fei Li, an American computer scientist known as 'the godmother of AI", is credited with firing the industry's starting gun in the mid-2000s when she created ImageNet, the largest image dataset at the time. Ms Li realised that if she paid college students to categorise the images, which was then how most researchers did things, the task would take 90 years. Instead, she hired workers around the world using Mechanical Turk, an online gig-work platform run by Amazon. She got some 3.2m images organised into a dataset in two and a half years. 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F&O Strategy: NALCO to Oberoi Realty— Rupak De suggests buy or sell strategy for THESE stocks
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Amazon has locked down hiring for this business; internal memo said: Any hiring requires ….
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