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#DLINKINDIA is Near to Break Previous All Time High Company has reduced debt. Company is almost debt free. Company has delivered good profit growth of 28.0% CAGR over last 5 years Company has been maintaining a healthy dividend payout of 39.8% Strengths: Established market position and strong distribution network: D-Link is the market leader in switches and wireless local area network (WLAN) products, with a significant market share. In fiscal 2019, the company introduced a series of high-end products for its enterprise business, including unmanaged long-term power over ethernet (PoE)/PoE plus switches; new generation layer 3 stackable managed switches with advance hardware and software enhancements for better performance, flexibility and ease of management; and industrial grade switches. D-Link has invested in state-of-the-art support infrastructure for both consumers and enterprises, which includes 10 D-Link-owned service centres with more than 50 experts in tier 1 cities, over 23 partner service centres with more than 40 experts in tier 2 / tier 3 cities, partner collection points in more than 105 cities and logistical support in over 190 cities. D-Link Technical Support Centres (DTSC) are manned by over 30 highly skilled engineers providing L1 to L3 support for all retail and enterprise customers. Healthy financial risk profile: Networth was Rs 363 crore as on March 31, 2023, and is expected to increase over the medium term because of steady accretion to reserves and absence of debt repayment. Return on capital employed improved to 36% in fiscal 2023 as profitability increased. In the absence of any debt-funded capex, the financial risk profile is expected to remain healthy over the medium term. Weaknesses: Exposure to intense competition and risks inherent in the networking industry: D-Link mainly operates in the home and small and medium enterprise segments of the networking industry, where profitability is lower than that in the institutional sales segment. The latter is dominated by Cisco India and other new entrants. Profitability in the retail segment is constrained by intense competition and commoditised products. Susceptibility to volatility in input price and currency: Copper, the key input for manufacturing cables is an open market commodity traded globally on exchanges, leading to volatility in its prices. Furthermore, fluctuations in currency also impact profitability, as the company imports about 30% of its traded products. Complete and immediate passing on of cost increases is difficult given the competitive pressure. The company experiences lag of 45-60 days in passing on price hikes. Hence, the operating margin will remain susceptible to fluctuations in raw material prices and currency. D-Link hedges currency exposure up to 70% of the total exposure by entering forward contracts. Liquidity: Adequate Cash accrual, expected at Rs 65-75 crore in fiscals 2024 and 2025, will support liquidity in the absence of any capex or debt obligation. Unutilised bank limit of Rs 10 crore will be adequate to fund the company’s fixed expenses. Cash surplus is expected to remain healthy over the medium term.
NSE:DLINKINDIALong
by iism-ExpertTrading
Nifty Medium term and stocks iam buyingMarket broke the support at 22150 New medium term support at 21500 and 21250 as shown in the chart. Meanwhile as mentioned in the last week specific value stock iam accumulating based on q4 results whenever there is a dip, Plan to purchase in three four parcels. Icici bank Axis bank Manppuram Dr reddys Natco Bajaj Fin serv Bajaj Fin Icici sec Acc Biocon These stick are given for analysis purpose. Individual can review and purchase according to their requirement.
NSE:NIFTYShort
by karthikss
#ASIANENEGeographical Presence The company has presence in India, Iraq, Nigeria, Myanmar, Indonesia & UAE. Business Areas 1. Seismic Services - The co. is a leading service provider of 2D and 3D Seismic services with extensive industry experience of over 25 years. 2. Production Facility Construction - The company creates high quality onshore and offshore oil & gas production facilities for various clients. 3. Production Facility O&M - It has extensive experience and expertise in turnkey operation & maintenance (O&M) of onshore and offshore oil and gas facilities. 4. Energy Infrastructure - It has forayed into energy infrastructure segment like rapid loading and handling system of coal & minerals. It also got an order from Coal India Ltd in FY21 for construction of rapid loading and material handling system with O&M for 5 years. Client Base As in June 21, the company is undertaking projects and providing services to various clients i.e. Vedanta, ONGC, Oil India, Coal India, Oilmax Energy (promoter) and Amni International. Company is almost debt free. Company is expected to give good quarter Debtor days have improved from 224 to 163 days.
NSE:ASIANENELong
by iism-ExpertTrading
Discovering profitable stocks for intraday trading █ Discovering profitable stocks for intraday trading: Simplifying the BeSt System Intraday trading style capitalizes on the market's daily fluctuations to generate profits, appealing to traders seeking quick returns. However, the rapid pace and high associated volatility require precise decision-making and a deep understanding of market dynamics. For intraday traders, the key to success lies in predicting market movements and identifying stocks that offer the best potential for profit within a limited timeframe. The BeSt system , short for Best Stock Finder, is a pioneering approach that uses data analysis to pinpoint promising stocks for daily trades. This article explores how this system works and what it means for the everyday trader. The primary goal of this research is to unearth effective strategies for selecting stocks that are most likely profitable for intraday trading. The relevance of this study is particularly pronounced in the current market environment, characterized by heightened volatility and increased trading volumes. These conditions heighten the risks associated with intraday trading and open up new opportunities for savvy traders. █  Understanding the BeSt System At its core, the best system employs a sophisticated blend of regression and sequence mining techniques to analyze historical stock data. By examining patterns in stock price movements and predicting future trends, the system identifies stocks most likely to experience significant price changes within the same trading day. ⚪ How Does the BeSt System Work? Regression Techniques: These algorithms predict future price variations by analyzing historical price data. The stocks showing the highest potential for price fluctuations are highlighted as prime candidates for trading. Sequence Mining: This method goes beyond simple price predictions by looking for recurring sequences in stock performance. It identifies patterns indicating which stocks are likely to perform well, based on their historical sequence of returns. Weighted Sequences: By assigning different weights to stock occurrences based on their profitability, the system prioritizes stocks that have consistently shown higher returns following specific patterns. ⚪ Simplifying How the BeSt System Works Predicting Price Changes: At its heart, the system uses past stock price movements to forecast future activity. Imagine being able to predict a stock’s price rise before it happens—that’s what this system aims to do. Finding Patterns: Beyond predictions, the BeSt system looks for patterns in how stocks have performed over time, identifying which stocks are likely to do well together or in sequence. This helps in anticipating market movements. Prioritizing Profitable Stocks: Not all stocks are treated equally; the system prioritizes those that have historically provided better returns following certain patterns. █  Conclusion: For intraday traders, the BeSt system offers a promising tool that enhances profitability and provides a deeper understanding of market dynamics. Turning complex data into actionable trading insights represents a significant step forward in the quest for optimal trading strategies. As technology and data science continue to advance, the BeSt system is well-positioned to become an indispensable part of every trader's toolkit. █   Methodology ⚪ Regression Techniques These algorithms predict the value of continuous variables based on the analysis of historical data.The goal is to predict the daily percentage variation in the price of a stock on the next trading day by analyzing the historical prices of market stocks on the preceding days. Stocks with the maximal predicted variation are recommended as the most tradeable on the subsequent trading day. Data Preparation: The historical price data of various stocks are collected, focusing primarily on daily percentage variations in stock prices. Model Training: Regression algorithms are used to create predictive models. These models analyze the historical prices and try to forecast the price movements of the stocks for the next trading day. Stock Selection: Stocks predicted to have the highest percentage variation in their prices the next day are flagged as potential candidates for trading. This prediction is based on the regression model’s output, which calculates the expected price change from one day to the next. ⚪ Sequence Mining This involves the use of unsupervised data mining techniques to discover recurrent sequences of items in large datasets. In this context, items are stocks, and the time stamps correspond to the closures of consecutive trading days. A sequence is an ordered list of itemsets, where an itemset is a set of items occurring at a given time stamp. Given the best-performing stocks on past and current trading days, a sequence indicates that if an arbitrary set of stocks is in the top list on preceding days, a given stock is likely to occur in the top list on the next day. Weighted sequences, rather than traditional ones, are used to weigh differently the occurrences of different stocks on the same trading day according to their daily profits. Data Handling: The process starts with collecting historical stock data, particularly focusing on the closing prices across consecutive trading days. This data is then prepared into a sequence format where each sequence represents the ordered list of stock performances over multiple days. Mining Process: Using sequence mining algorithms, the system searches for common patterns or sequences in the stock data. These patterns reveal which stocks frequently perform well in sequence—meaning if certain stocks are performing well today, which stocks are likely to perform well tomorrow based on historical patterns. Weighted Sequences: To refine the selection, the concept of weighted sequences is applied. This approach gives different weights to the occurrences of stocks based on their profit performances on particular days. For example, if a stock consistently shows higher gains than others on specific days following certain trends, it will be weighted more heavily in the predictive model. Stock Recommendations: The system identifies sequences with the highest recurrence and profitability. Stocks appearing in these sequences are recommended for trading. These stocks are expected to perform well in the short term, aligning with intraday trading goals. █   Data Set Used The data set used for this study consisted of a broad range of stocks across various sectors, including technology, finance, and consumer goods. To ensure the reliability of the data, the study focused on stocks listed on major exchanges like the NYSE and NASDAQ. █   Key Findings High Profitability: The BeSt system outperforms traditional stock selection methods like Support Vector Machines, Linear Regression, and random selection strategies. The sequence-based strategies used by BeSt, in particular, have proven to yield higher profits, demonstrating the system's ability to effectively identify the most promising stocks for intraday trading. Effective Trend Capture: The system is highly adept at identifying underlying trends in stock price movements. This capability allows traders to make informed decisions based on a solid analysis of historical data, ensuring that trades align with the most likely future movements of the market. [* ]Scalability: The BeSt system can handle large datasets efficiently, making it suitable for analyzing the numerous stocks listed on major stock exchanges. This scalability is crucial for intraday traders who need to quickly sift through vast amounts of data to identify trading opportunities. Interpretability of Results: Unlike many other data-driven trading systems, the BeSt system provides interpretable results. This feature is particularly beneficial for traders who prefer to understand the logic behind the recommended trades. The system's transparency helps build trust and allows users to learn from the system's insights. █   Practical Applications Even if you don’t have access to the BeSt system itself, understanding its principles can improve how you approach trading: ⚪ Look for Patterns: Start tracking how certain stocks perform in relation to each other and over various days. You might begin to notice patterns that can guide your trading decisions. ⚪ Use Available Tools: Many trading platforms offer basic tools for analyzing stock trends and predicting movements. Use these to start making more informed decisions. █   Limitations While the findings of this study are valuable, they come with limitations that traders should consider. The study focused on large-cap stocks listed on major exchanges, which may not apply to smaller-cap stocks or those on less liquid markets. Additionally, the historical data may not fully account for the market's future conditions as market dynamics continually evolve. █  Reference Baralis, E., Cagliero, L., Cerquitelli, T., Garza, P., & Pulvirenti, F. (2017). Discovering profitable stocks for intraday trading. Information Sciences, 405, 91-106. ----------------- Disclaimer This is an educational study for entertainment purposes only. The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
NASDAQ:GOOGLEducation
by Zeiierman
5
Apple: "Buy the dip " in short term?Hi Traders! On the daily time frame NASDAQ:AAPL has completed an important bullish structure and it is currently working on a corrective structure on the intraday chart. That said, in our view, Apple will trigger a bullish corrective structure in the near term, with ABC Pattern or a harmonic structure. With this in mind, our view is bullish with “Buy The Dip” with Target 1 around 180 area. Trade with care Like | Share | Comment
NASDAQ:AAPLLong
by TheAnonymousBanker
7
#SARDAENProduct Portfolio The Co. offers a wide range of products that include Wires Rods, HB Wires, Ferro Alloys, Pellets, Sponge Iron, and Billets. Ongoing Capex Projects Minerals: 1 Gare Palma IV/7 Coal Mine Chhattisgarh: Capacity enhanced from 1.2 MTPA to 1.44 MTPA in May-23, and increasing further to 1.68 MTPA in FY24 and seeking approvals for enhancement to 5.2 MTPA which will be carried out in phases. Also, setting up dedicated Railway Siding for more efficient coal transportation. 2 Coal Washery: Capacity expansion from 0.96 MTPA to 1.8 MTPA is under process. 3 Shahpur West Coal Mine : Extractable reserves of 13.4 MT and Production capacity of 0.6 MTPA – EC, CTE and Stage 1 Forest clearance received. 4 Surjagad 1 unexplored Iron Ore Block in Maharashtra: Declared as Preferred Bidder with 126.35% revenue share in May-23. Energy 1 Hydro Power: 24.9 MW plant on the Rehar river in Chhattisgarh - construction has started; Expected to achieve CoD in FY25. 2 Solar Power: 50 MW plant to be installed at Chhattisgarh facility for captive consumption, replacing costly grid power; Contract awarded Steel : 1 Wire Rod Mill: Received consent for capacity expansion from 180,000 MT to 250,000 MT, in FY23. 2 Iron Ore Pellet Plant: Received consent for capacity expansion from 8,00,000 tonnes p.a to 9,00,000 tonnes p.a., on 22-Dec-23. Waste : 1 Setting up a new project for manufacturing Mineral Fibre with an estimated outlay of Rs. 70 Crores. The project is expected to be operational by FY25.
NSE:SARDAENLong
by iism-ExpertTrading