Latest news with #Doji
Mint
18 hours ago
- Business
- Mint
Best stocks to buy today, as recommended by NeoTrader's Raja Venkatraman
India's stock market wrapped up last week on a high, posting nearly a 1% gain thanks to positive domestic developments. Initially, caution prevailed as investors awaited the Monetary Policy Committee's (MPC) decision. However, a pleasant surprise—a 50-basis point cut in the repo rate and a staggered 100-basis point reduction in the cash reserve ratio—swiftly shifted sentiment. This led to a significant upward surge, after which the market stabilized for the rest of the day. Ultimately, the Nifty 50 index closed near its daily high at 25,003.05. Here are three stocks to buy or sell today, as recommended by Raja Venkatraman of NeoTrader for Monday, 9 June. POLYCAB: Buy CMP and dips to ₹ 6,000 | Stop: ₹ 5,950 | Target: ₹ 6,525-6,700 BORORENEW: Buy CMP and dips to ₹ 542 | Stop: ₹ 525 | Target: ₹ 615-630 DALBHARAT: Buy above ₹ 2,120 and dips to ₹ 2,090 | Stop: ₹ 2,070 | Target: ₹ 2,250-2,325 The market rally on 6 June was broad-based, with all major sectors contributing. Rate-sensitive sectors like realty, financials, and auto were the biggest beneficiaries, with other sectors also performing well. Broader market indices also extended their gains, rising between 0.8% and 1.2%. While the Nifty 50 is still in a consolidation phase, the renewed vigor in rate-sensitive sectors, especially the breakout in the banking index, has reignited hopes for a sustained upward trend. A definitive break above 25,200 on the Nifty could initiate the next leg of the rally, potentially propelling the index towards 25,600. Looking ahead, the impact of the recent rate cut is expected to continue driving market sentiment. The rate-sensitive segments, along with specific themes like railways, are likely to remain in the spotlight, with other sectors contributing in a rotational manner. Finally, after some huffing and puffing, the Nifty 50 managed to crack through the resistance at 25,000 and powered its way higher by Friday. In between, there were some intraday fulminations but the bulls managed to hold the wheel and did not allow the trend to go off the road. Matters were helped in the last week when the best efforts by the bears were held at abeyance over three successive sessions, with Doji type candle formations. When such a pattern gave way to a bullish candle starting on Monday, the stage was set for more gains. Results flow has been good for the fourth quarter, and some heavyweights came out with Street-beating numbers, which has kept the sentiment juices flowing rather nicely. In addition, activity in the mid- and small-cap segments has also been good. With the threat of the Trump tariffs now receding with no real clarity, the market has one less item to worry about. The Reserve Bank of India's policy was the turning point last week. On Friday, the RBI Governor went beyond anticipation to give a 50 basis point repo rate cut and 100 bps CRR cut to bolster the banking and financials sectors. (TradingView) Bank Nifty compared to Nifty has fared well and would give us more than fair evidence of continued bullish play to emerge next week, however on dips. Considering the pointers, one should look to buy at lower levels in the indices. The sharp rise in trends on Friday beyond the much-touted resistances at 25,000 has given us some opportunity to look for some opportunities in Nifty now. Trading has been quite challenging as the movements are happening in spurts hence it's best to trade with suitable stop loss. Applying a fair amount of discretion shall enable us to profit from the volatility that shall continue, as we are now witnessing some positive vibes against the backdrop of a pensive global scenario. POLYCAB: Buy CMP and dips to ₹ 6,000 | Stop: ₹ 5,950 | Target: ₹ 6,525-6,700 Why POLYCAB is recommended: With about 25% organized market share, Polycab leads the domestic C&W market. The company is present in both cables (65% of the sales mix) and wires (25-30% of the mix).However, Jefferies feels that the stock will not face major headwinds as it already has an established presence and the new competition will take time to impact the revenues. This has led to a double bottom formation and a gradual ascent to the top . With prices holding firm at the TS line we can consider going long. With about 25% organized market share, Polycab leads the domestic C&W market. The company is present in both cables (65% of the sales mix) and wires (25-30% of the mix).However, Jefferies feels that the stock will not face major headwinds as it already has an established presence and the new competition will take time to impact the revenues. This has led to a double bottom formation and a gradual ascent to the top . With prices holding firm at the TS line we can consider going long. Key metrics P/E: 45.90 52-week high: ₹ 7,607.15 Volume: 319.43K Technical analysis: Support at ₹ 4,950; resistance at ₹ 6,950 Support at 4,950; resistance at 6,950 Risk factors: Market volatility and sector-wide fluctuations in geopolitical news could impact returns Market volatility and sector-wide fluctuations in geopolitical news could impact returns Buy at: CMP and dips to ₹ 6,000 CMP and dips to 6,000 Target price: ₹ 6,525-6,700 in 1 month 6,525-6,700 in 1 month Stop-loss: ₹ 5,950 BORORENEW: Buy CMP and dips to ₹ 542 | Stop: ₹ 525 | Target: ₹ 615-630 Why BORORENEW is recommended: BORORENEW posted weak Q4 numbers, indicating that the trends are under pressure. However, with the nature of the prices seen in the last few days we can comprehend that the newsflow has already been priced in. The volatile moves seen in the last 3 months are now seen giving up, indicating a possibility of some upward bounce as a V-U pattern is seen forming with volumes. Can look to go long. BORORENEW posted weak Q4 numbers, indicating that the trends are under pressure. However, with the nature of the prices seen in the last few days we can comprehend that the newsflow has already been priced in. The volatile moves seen in the last 3 months are now seen giving up, indicating a possibility of some upward bounce as a V-U pattern is seen forming with volumes. Can look to go long. Key metrics P/E: 225.05 52-week high: ₹ 644 Volume: 540.20K Technical analysis: Support at ₹ 460; resistance at ₹ 680 Support at 460; resistance at 680 Risk factors: Competition from streaming platforms and changing consumer preferences Competition from streaming platforms and changing consumer preferences Buy at: CMP and dips to ₹ 542 CMP and dips to 542 Target price: ₹ 615-630 in 1 month 615-630 in 1 month Stop-loss: ₹ 525 DALBHARAT: Buy above ₹ 2,120 and dips to ₹ 2,090 | Stop: ₹ 2,070 | Target: ₹ 2,250-2,325 Why DALBHARAT is recommended: The counter has been consolidating around the TS & KS Bands for the past few days. After a brief decline the stocks managed to gather support within the bands and produce a turnaround. After the recent test of the TS & KS bands and a strong closing on Friday we can look at some positive vibes to emerge. The counter has been consolidating around the TS & KS Bands for the past few days. After a brief decline the stocks managed to gather support within the bands and produce a turnaround. After the recent test of the TS & KS bands and a strong closing on Friday we can look at some positive vibes to emerge. Key metrics P/E: 208.50 52-week high: ₹ 2,166.70 Volume: 105.72K Technical analysis: Support at ₹ 2,050; resistance at ₹ 2,250 Support at 2,050; resistance at 2,250 Risk factors: Supplier retention and potential customer acquisition challenges Supplier retention and potential customer acquisition challenges Buy at: Above ₹ 2,120 and dips to ₹ 2,090 Above 2,120 and dips to 2,090 Target price: ₹ 2,250-2,325 in 1 month 2,250-2,325 in 1 month Stop-loss: ₹ 2,070 Raja Venkatraman is co-founder, NeoTrader. His Sebi-registered research analyst registration no. is INH000016223. Investments in securities are subject to market risks. Read all the related documents carefully before investing. Registration granted by Sebi and certification from NISM in no way guarantees performance of the intermediary or provide any assurance of returns to investors. Disclaimer: The views and recommendations given in this article are those of individual analysts. These do not represent the views of Mint. We advise investors to check with certified experts before making any investment decisions.
Forbes
29-05-2025
- Business
- Forbes
How AI Virtual Try-On Solutions Google & Doji Are Changing Retail
Google has introduced a new AI powered virtual try-on (VTO) feature within its AI Mode shopping experience. For now limited to participants in its experimental Search Labs initiative, the tool enables users to upload a full body photograph in order to visualize its apparel listings on their own likeness. While Google's generative AI tech has been enabling product visualisation on a range of different body types and skin colors for a couple of years already—sizes range from XXS to 4XL and a wide spectrum of skin tones are guided by the Monk Skin Tone Scale—this personalisation aspect is a first for the the tech powerhouse. Although it comes in the wake of releases from other AI powered start-ups, Google dubs its own proprietary version 'the first of its kind working at this scale' in that it allows shoppers 'to try on billions of items of clothing from our Shopping Graph.' According to the tech giant, 'it's powered by a new custom image generation model for fashion, which understands the human body and nuances of clothing — like how different materials fold, stretch and drape on different bodies.' Most hyped of Google's more boutique competitors is Doji which this month announced a $14 million raise led by Thrive Capital with continued participation from 776. Doji, which was founded in 2024 by Apple, Meta, Shopify and Google DeepMind alumni Dorian Dargan and Jim Winkens, leverages its own proprietary diffusion models (generative algorithms that add 'noise' to a dataset to learn how to remove it leaving behind high quality images.) It creates user avatars from six selfies snapped at different angles plus two full-body images on which it generates different suggested looks from brands including The Row, Sacai and Miu Miu while also allowing users to choose top and bottom pairings from listed items or uploaded urls. It directs users to partner sites for purchase—presumably working on an affiliate system. Doji has recently launched on the App Store following a few months in private beta, however it is still invitation only as it continues to be finessed by the development team. The downside is that avatar generation still stands at around 30 minutes but having tried it in its various incarnations, it offers arguably the most fidelity in terms of its photorealistic renderings when compared to competitors. Creation of further looks has speeded up considerably over the last few weeks. The previous wave of virtual try-on tech which included studios like Bods focused more on virtual fit technology with the objective of decreasing returns to save brands money and minimise environmental impact. Via computer vision and machine learning it generated body avatars from a combination of photographs and measurements. According to a story by Tech Crunch, Doji plans to address the issue of fit further down the line. Wanna's bag capacity widget Wanna Elsewhere, Wanna, a provider of virtual try-on solutions in AR—most notably for jewelry and accessories—and the fashion arm of Perfect Corp, industry leader in VTO for beauty, has just released its animated Bag Capacity Widget, a new innovation for online bag shopping within its product suite. It enables shoppers to assess storage capacity by virtually placing everyday items inside a bag, viewing capacity more accurately via a transparency mode that also reveals how many items would fit inside. As owners of larger iPhones will doubtless attest, the studio notes that size mismatches account for around 24% of returns in the bag category. Virtual try-on solutions are certainly a category to watch both as tools for engagement and those leading to more tangible return on investment.
Yahoo
21-05-2025
- Business
- Yahoo
Google introduces Shop with AI Mode with price tracking, agentic checkout, and virtual try-on
Google announced at Google I/O 2025 that it is adding multiple AI-powered features for online shoppers, including a new visual panel in Google Search's AI Mode, personalized price tracking notifications with agentic checkout, and virtual try-ons. The new shopping experience is rolling out in AI Mode, where shoppers can view product visuals and other AI-powered guidance that leverages product data. For instance, if you search for a travel bag, the results will show you a panel of listings and images matched to your tastes that you can easily scroll through. And, if you want to narrow things down using a more specific query, such as "bags suitable for a trip to Portland, Oregon, in May," AI Mode will run multiple simultaneous queries -- which Google describes as a query "fan-out" -- to figure out the best option for both long journeys and rainy weather. It will then update the panel of options to showcase those that are waterproof and those with easy access to pockets. As you continue to refine your query or add other specific filters for shopping, the visual panel on the right-hand will update to show new options. These features will arrive in the U.S. in the months ahead, says Google. The company is also adding a new price tracking feature with agentic checkout in the months ahead. Soon, consumers will be able to tap "track price" on any Google product listing. You'll then be able to select a product, filtering for things like color and size, and specify the amount you want to spend on that item. Google will track the price and send you a notification when the price matches what you were looking to spend. After confirming the details, you can opt to buy the item by tapping a new "buy for me" option. After clicking the buy button, Google adds the item to the checkout cart on the merchant's website and uses your Google Pay details to secure the purchase. This feature will initially launch with product listings in the U.S., Google says. Another new feature will allow shoppers to try on clothes virtually. While Google has offered something similar to virtual try-on tech, the feature only involved showing items on a diverse range of models' bodies. Now, the company will allow you to try clothes on yourself, too. To do so, you'll upload a full-length photo under good lighting where you're wearing fitted clothing. Google says it's using a new diffusion model for fashion to understand the human body and how different materials would fold and stretch on different people. Google's virtual try-on feature is available to users in the U.S. under Google's Search Labs starting today. Users who opt in will see a virtual try-on button next to product listings for shirts, pants, skirts, and dresses. You'll also be able to share your look with friends or tap to shop similar styles. Google's range of new AI shopping technology will challenge the work of other startups to various degrees. Notably, companies like Thrive-backed Doji and Stellation Capital-backed Vybe are working on technology to make virtual try-on easy and fun for users. Meanwhile, startups like Daydream, Cherry, and Deft have used AI to solve for product discovery. Plus, general-purpose AI-powered chatbots like ChatGPT and Perplexity have also added shopping features in recent months. This article originally appeared on TechCrunch at Sign in to access your portfolio
Time of India
19-05-2025
- Business
- Time of India
Decoding India's trading trends with real-time chart signals: What technical traders should know
(You can now subscribe to our (You can now subscribe to our ETMarkets WhatsApp channel As Indian markets continue to attract retail investors across asset classes, technical trading is emerging as a popular strategy among active participants in equities and derivatives. Traders who rely on candlestick patterns, chart structures, and price action signals are increasingly looking for faster, data-driven ways to identify actionable market trends—especially within the highly dynamic Futures and Options (F&O) address this evolving need, full-service brokerage firms like Angel One , with over two decades of experience in the Indian capital markets, now offer a chart-integrated feature that identifies trading signals in real time, surfacing potential bullish or bearish formations directly on stock and index charts. Covering NIFTY 50 stocks as well as NIFTY and BANKNIFTY indices and their option contracts, this tool allows technical traders to stay informed as patterns unfold—without the need to sift through multiple data points feature focuses on surfacing signals as they appear, without implying any advisory intent. Whether it's a Doji candlestick on a large-cap stock or a Head and Shoulders formation on BANKNIFTY options, these signals are automatically plotted on the chart along with visual cues to help users identify their nature—bullish or detected include popular candlestick formations like Morning Star, Engulfing, Harami, Piercing, and Dark Cloud. Chart patterns such as Double Top, Double Bottom, and various Head and Shoulders setups are also covered, alongside price action indicators like open interest (OI) shifts and price momentum—particularly useful for F&O are generated across multiple timeframes—ranging from 5-minute to daily intervals—offering flexibility for intraday, swing, and positional traders. The most recent signals appear first, enabling users to monitor fresh developments closely and make decisions based on their own trading systems and risk management a signal is detected, it is instantly plotted on the chart within the Angel One platform, with color-coded markers indicating its potential direction. This design enhances clarity, particularly for users tracking multiple instruments simultaneously. Since the signal appears within the trading chart itself, users can choose to act on the information immediately, if it aligns with their this functionality does not constitute a recommendation to buy or sell. A signal formation—while suggestive of a potential price move—does not guarantee that the market will follow the expected path. Price action can diverge post-signal, and traders are advised to apply their own judgement and technical setups before taking any increasing retail activity in the F&O segment, where contract turnover dwarfs that of the cash market, tools that simplify technical analysis are becoming integral to trading workflows. According to NSE data, index options alone saw massive growth in notional volumes over the past year, reflecting a growing appetite for actively managed making technical signals easily visible and accessible from within the Angel One trading interface, this chart-based signal feature helps traders incorporate pattern-based insights into their broader decision-making feature aims to support informed trading—not drive it. The idea is to enhance transparency by making key technical formations more visible in real time. Whether a user chooses to trade based on a Morning Star candlestick or a breakout from a Rising Wedge, the responsibility and decision lie entirely with India's F&O market matures and technical strategies evolve, such tools can provide traders with greater context and clarity in fast-moving market environments.
Yahoo
15-05-2025
- Business
- Yahoo
Doji raises $14M to make virtual try-ons fun through AI avatars
For years, big tech companies like Amazon and Google have been trying to make virtual try-ons engaging to encourage consumers to shop more online. Startups also tried to solve for inspiration and fit in fashion using AI. A new startup called Doji is now entering this space with an app designed to make apparel try-ons both fun and social. It does so by creating your avatar and then serving you different looks that may inspire you to buy new clothes. So far, early adopters have been impressed by it. Only days after publicly launching on the App Store, the company is announcing a $14 million seed round led by Thrive Capital with participation from Seven Seven Six Ventures. The funding will be used to improve Doji's AI models, the company says. An app like Doji only exists thanks to recent advancements in AI. The company uses its own diffusion models to create its personalized avatars and to make clothing try-ons more realistic. @doji_com The startup was founded last year by Dorian Dargan and Jim Winkens — hence the name Doji (Dorian + Jim). Dargan previously worked at Apple on VisionOS and at Meta on games and experiences on Oculus Quest. Winkens was a researcher at DeepMind and also worked on a generative AI-based consumer product at Google. The duo connected on Twitter/X around 2022. After realizing a shared interest in the fashion world, they began exploring side projects to work on together. Later, when the controversial avatar creation app Lensa was released, Dargan saw how deep a connection people had with their avatars. "Lensa was doing stylized avatars with different themes," Dargan told TechCrunch. "We saw Lensa and thought, what if we could do this for fashion, but in a photo-realistic way?" Thrive Capital partner Miles Grimshaw said he's been captivated by Doji's app since the first time he used it. He notes that diffusion models create an opportunity to build a "virtual mirror" to try on clothes. "Going around the web to hundreds of click links to shop is laborious. Doji has an opportunity to make shopping fun as it puts me at the center of the experience. The app also has a social aspect of making me want to share different looks [with friends and family]," he added. Doji, which is still in invite-only mode, guides users through the process of taking six selfies and uploading two full-body images to create an avatar. The app takes roughly 30 minutes to create an avatar, then notifies you when the avatar is ready. You can also choose your favorite brands during onboarding to see more items from them in the app. Other apps like Google-backed lock screen app Glance have tried to create AI-powered shopping inspiration flow by using a single image. However, Doji opted for a more in-depth setup process to create higher-quality avatars and better match users with the right clothes. By default, the app shows you clothes that might suit you through a series of looks with your avatar. You can scroll through the different tops and bottoms listed on the site and tap on them to create a new look for your avatar. Plus, you can post a link to apparel from the web to check if it would suit you. In tests, I felt that some of the images of the avatar made me look thinner or taller than I am. (Doji notes that users have the option of retraining the avatar through a new set of images if they don't like their results.) While the app lets you try on different clothes to see how certain apparel would look on you, it can't yet tell you how an item would fit. That's something the startup wants to tackle later, we're told. The team is also working to make the virtual try-on process faster and integrate the buying process in the app, instead of directing users to external sites. The startup, whose app is available in more than 80 countries, didn't specify when it will remove the invite system to allow everyone to use the app. Dargan said that what sets them apart from other try-on apps is that Doji also offers a fun way to explore clothes. Plus, he believes Doji is better at human representation than others, thanks to his experience designing avatars over the years. "I think people who have explored this idea before either haven't had the technology chops to make it good or the taste to understand what actually makes a person feel good about an image of themselves," Dargan said. "We have invested a lot in core technology to ensure the way you perceive yourself through images is interesting and inspiring." This article originally appeared on TechCrunch at Sign in to access your portfolio
