As the crypto market enters the new year under cautious sentiment, investors looking for the best altcoins to buy are becoming more selective. ETF flows are slowing, whale activity is rising, and price action across majors has turned mixed.
In this context, the most compelling picks combine either strong real-world utility, clearly defined technical levels, or asymmetric upside from early-stage pricing.
This list highlights three assets that meet those criteria in different ways and draw analysts` attention as the best cryptos to buy this January:

Digitap ($TAP), an omnibank crypto presale built for everyday payments
Solana (SOL), a Layer-1 blockchain used for DeFi, apps, and payments
Ripple (XRP), a payments-focused blockchain for institutional settlement and cross-border transfers

Digitap ($TAP) Presale: Live App And Clear Price Structure
Demand is growing for platforms that unify crypto and fiat without forcing users to juggle multiple apps, wallets, and banking services. This shift has made utility-first platforms increasingly attractive among investors searching for the best crypto to buy now, particularly in the crypto presale category.

Digitap offers a live omni-banking app where users can hold, exchange, and spend both fiat and crypto from one interface. The platform supports over 20 fiat currencies and more than 100 cryptocurrencies, with global transfers enabled via SEPA, SWIFT, and blockchain networks.
Unlike many crypto presales that exist only on paper, Digitap&rsquo;s app is already live and available for download.
The ecosystem is powered by $TAP, a fixed-supply ERC-20 token capped at 2 billion units. The token has no inflation, no buy or sell tax, and multiple burn mechanisms tied to platform usage and staking penalties. $TAP is used for cashback rewards, reduced fees, staking, governance, and access to VIP account tiers.

From a valuation standpoint, the current crypto presale price is $0.0411, with the next stage increasing to $0.0427 and a confirmed launch price of $0.14. Moving from the current stage to launch represents a predefined multiple of more than three times, based on preset mechanics rather than market speculation.
Notably, the percentage shown in the presale reflects stage completion, not the full presale allocation.
For investors evaluating crypto to buy now, Digitap stands out for its live product, transparent tokenomics, and a structured pricing model that rewards early participation.

Solana Near $138: ETF Flows Cool As Selling Pressure Builds
Solana trades near $138 after falling 1.78&#37 over the last 24 hours, underperforming its 7-day gain of nearly 8&#37 while broadly aligning with the market&rsquo;s recent pullback. Short-term pressure has been driven by whale transfers to exchanges and cooling ETF inflows.

Recent data shows Solana ETFs recorded $3.6 million in net inflows, a slowdown from the stronger momentum seen late last year. This suggests institutional interest remains, but not at levels sufficient to fully offset selling pressure.
Still, SOL&rsquo;s 30-day performance of roughly 2&#37 outpaces both Bitcoin and Ethereum, reinforcing its relative strength among large-cap altcoins.
Technically, Solana remains in consolidation following its late-year rally. Momentum indicators point to stabilization rather than expansion, implying that further upside may depend on renewed volume or broader market recovery.
For those seeking established altcoins to buy, SOL offers liquidity and ecosystem depth rather than early-stage upside.
XRP Breaks $2.21 Support: Where Traders Look Next
XRP has seen a heavier downside, falling over 6&#37 in the last 24 hours and underperforming the broader crypto market. The move followed significant ETF outflows of roughly $41 million, ending a long inflow streak, alongside elevated whale transaction activity signaling distribution.

Technically, XRP broke below the $2.21 pivot level, weakening its short-term structure. Momentum indicators suggest fading bullish pressure, with the next key support zone near $2.09, aligned with a mid-range retracement level. Until price stabilizes, upside attempts may remain limited.
Despite near-term weakness, XRP remains relevant as a payments-focused large-cap asset. However, its current setup contrasts with early-stage opportunities where valuation is still forming rather than correcting.
Why Timing Matters More Than Size In January
The key difference between these assets is not credibility, but timing. Solana and XRP are priced on existing adoption and macro conditions. Digitap, by contrast, remains in its early valuation phase. The presale structure guarantees incremental price increases regardless of market volatility, offering clarity that is rare in crypto markets.
At $0.0411, moving toward the $0.14 launch price reflects a predefined pricing gap rather than speculative projections. Combined with a live app, fixed supply, and deflationary mechanics, Digitap aligns closely with what many investors seek when evaluating the best crypto to buy now in the crypto presale segment.

Analysts List $TAP As The Best Crypto To Invest In This January
January&rsquo;s market favors selectivity. Solana offers institutional relevance with moderate momentum, while XRP is in a corrective phase under distribution pressure. Digitap stands apart as a live, utility-driven platform that is still priced at an early-stage level.
For investors exploring the best altcoins to buy, crypto to buy now, Digitap combines real-world utility, transparent tokenomics, and a clearly defined pricing path-key traits for navigating the current market cycle.
Discover how Digitap is unifying cash and crypto by checking out their project here:
Presale: https://presale.digitap.app
Website: https://digitap.app
Social: https://linktr.ee/digitap.app
Win $250K: https://gleam.io/bfpzx/digitap-250000-giveaway
Disclaimer:The information provided on the Website does not constitute investment advice, financial advice, trading advice, or any other form of advice, and you should not interpret any of the Website`s content as such. Midday does not recommend that you buy, sell, or hold any cryptocurrency. Please conduct your own due diligence and consult with a financial advisor before making any investment decisions. Midday does not endorse or promote any such activities, and you access them at your own risk, fully understanding the monetary and legal consequences involved. Midday shall not be held responsible for any losses you may incur as a result of using any such apps or websites. Cryptocurrency products and NFTs are unregulated and can be highly risky. There may be no regulatory recourse for losses resulting from such transactions. 

Volatility often appears intimidating, especially to traders who rely on instinct or emotion. Yet when you approach it with structure and discipline, it becomes one of the most dependable sources of opportunity in the options market.. Adopting a systematic trading framework helps traders move from guesswork to evidence-based decision-making, ensuring that every entry and exit is backed by historical probability rather than emotion. It allows them to measure risk precisely, design strategies that match market conditions, and test ideas before placing a single trade.
This structured approach is central to working with market swings. Instead of reacting to sudden moves, traders learn to recognise the patterns behind volatility and use them to their advantage.
Understanding How Volatility Is Measured
&nbsp;Before developing any strategy, a trader must learn options trading basics via an options trading course and then understand how to measure volatility through a volatility trading course. These measurements serve as the base for building rules, adjusting trade size, and selecting the right options structure.
Average True Range
ATR helps traders set dynamic stop-loss and take profit levels. Rather than relying on fixed numbers, ATR adjusts exits according to recent price movement, which can provide more stability during sharp swings.
Standard Deviation
This measurement shows how widely prices tend to move from their average. A higher standard deviation signals higher uncertainty. In practice, traders use this value to understand the typical range of movement and build strategies around those expectations.
VIX
Known informally as the fear index, the VIX reflects expected future volatility in the market. Traders use this insight to hedge portfolios or design strategies that benefit from rising or falling volatility.
Beta
Beta compares the movement of a stock against the broader market. A stock with a higher beta tends to move more aggressively. By analysing beta, traders can group stocks, build balanced portfolios, and manage overall risk exposure.
Hands-on coding exercises help traders calculate each measure and visualise patterns. By plotting and experimenting with data in Python, concepts become easier to understand and apply.
Trading Market Swings with Technical Indicators
Volatility rarely moves in a straight path. It shifts in cycles, creating openings for both trend-following and mean reversion approaches, which is central to options volatility trading. Bollinger Bands are one of the most effective tools for spotting these volatility cycles. They show when prices are stretched or compressed, helping traders judge whether a move is losing momentum or preparing to expand. A flat middle band can point to mean reversion, while widening bands often suggest a breakout. By testing these conditions in Python, traders can evaluate how each setup performs and identify which market environments offer the strongest edge.
Exploring Advanced Concepts in Volatility Trading
More experienced traders eventually move toward deeper ideas that shape options pricing and risk.
Studying Different Types of Volatility
Historical volatility shows what happened. Implied volatility shows what the market expects. Realised volatility shows what actually occurred. Understanding the differences between these three forms is essential for selecting the right strategy.
Pricing Models and the Greeks
The Black Scholes Merton model offers a structured way to calculate the fair value of an option. Traders also learn the Greeks, which explain how changes in price, time, volatility, or interest rates affect an option&rsquo;s value. This knowledge is vital for building controlled and balanced portfolios.
Advanced Estimators and Forecasting
Traders explore more precise volatility estimators such as the Parkinson and Garman-Klass methods. These use more detailed price information to produce stronger insights. The GARCH model takes this further by forecasting future volatility. Understanding these forecasts helps traders time their strategies and adjust risk.
Trading the Variance Premium
The difference between implied and realised volatility creates an opportunity known as the variance premium. By testing strategies such as straddles in Python, traders examine how to use this premium in a structured way. Monte Carlo simulations help visualise how the strategy behaves under various conditions.
Risk Management Through Systematic Tools
Structured and disciplined risk control is central to systematic options trading. Techniques like delta hedging and gamma scalping help manage price sensitivity and movement risk, keeping exposures aligned with the strategy&rsquo;s design. Adding dollar based limits creates another layer of discipline, ensuring that the portfolio stays within defined boundaries. Even when volatility rises sharply, this systematic framework helps keep the overall position stable and controlled.
Implementing Systematic Rules in Live Trading
A systematic approach includes several important steps.
Checking Data Quality
Traders begin with accurate data and eliminate missing or inconsistent entries.
Creating an Options Screener
A screener helps identify liquid options with stable pricing and tight spreads.
Calculating Probability of Profit
PoP calculations, whether empirical or model-based, give traders a clearer picture of expected outcomes.
Building and Backtesting Strategies
Traders test butterflies, iron condors, spreads, and other structures against historical data. They add stop loss and take profit rules and evaluate results using metrics such as maximum drawdown and the Sharpe ratio.
This process reveals how a strategy behaves in different market conditions and helps traders refine their rules before risking capital.
Case study
Jyotish Sebastian, a tourism professor from Chennai, began exploring the stock market last year and wanted a structured way to strengthen his options trading skills. He enrolled in a Python-based options strategy course and found the lessons clear, practical, and easy to follow. The quizzes, Jupyter notebook exercises, and simple explanations helped him track progress and apply concepts effectively. He especially valued the step-by-step Python setup guide. Motivated by the experience, he now plans to deepen his Python skills further.
Strengthening Skills Through Structured Learning
Quantra and QuantInsti play an important role in helping traders build strong quantitative and algorithmic skills. Quantra offers a suite of quantitative finance courses that are modular and flexible, providing the foundation needed to build an automated trading system from scratch. Its learn by coding approach and affordable pay-per-course model, along with a free starter course, make it accessible to learners at every stage. QuantInsti&rsquo;s flagship EPAT programme provides live classes, expert faculty, and placement support, backed by real outcomes through hiring partners, salary growth, and alumni success stories. Together, they create a practical path for long-term skill development.
Disclaimer: The information provided on the Website does not constitute investment advice, financial advice, trading advice, or any other form of advice, and you should not interpret any of the financial content as such. Please conduct your own due diligence and consult with a financial advisor before making any investment decisions. Midday does not endorse or promote any such activities, and you access them at your own risk, fully understanding the monetary and legal consequences involved. Midday shall not be held responsible for any losses you may incur as a result of using any such apps or websites. 

Being a creator today extends far beyond producing visually engaging posts or videos. As the creator economy continues to mature, influencers and independent creators are increasingly expected to&nbsp;operate&nbsp;like professional businesses-managing campaigns, schedules, negotiations, and ongoing communication alongside content creation.&nbsp;
For many creators, the workday begins with multiple unread messages. Brands seek updates on deliverables, collaborators require&nbsp;timely&nbsp;responses, and conversations unfold simultaneously across platforms. In a fast-moving ecosystem, responsiveness has become an implicit expectation.&nbsp;
However, managing communication is&nbsp;emerging&nbsp;as a significant operational challenge. It often consumes time and energy that would otherwise be directed toward creative work. Delayed responses are no longer viewed as minor lapses; they can affect trust, slow campaign execution, and result in missed opportunities.&nbsp;
The Growing Communication Problem for Creators&nbsp;
Influencers and independent creators increasingly function as single-person enterprises, responsible for partnerships, deadlines, negotiations, and stakeholder management. Communication takes place across multiple channels, including social media platforms, email, messaging applications, and brand portals, making coordination more complex.&nbsp;
What appears to be a simple response&nbsp;frequently&nbsp;involves&nbsp;switching between platforms, revisiting conversations, and repeatedly sharing similar information. Over time, this leads to operational fatigue-distinct from creative burnout-where administrative demands begin to overshadow creative focus.&nbsp;
As the creator economy becomes more structured, this divide between content creation and operational management is becoming more pronounced, underscoring the need for systems that can support creators at scale.&nbsp;
A Creator-Centric Industry Perspective&nbsp;
As these challenges intensify, organisations working closely with both creators and brands have gained clearer visibility into the operational pressures faced by creators. One such organisation is&nbsp;Eleve Media, which&nbsp;operates&nbsp;across creator-led campaigns, brand partnerships, and digital platforms.&nbsp;
According to&nbsp;Prince Khanna, Founder and CEO of Eleve Media, &ldquo;Communication inefficiencies&nbsp;remain&nbsp;one of the most underestimated challenges within the creator ecosystem.&rdquo;
&ldquo;Creators are expected to manage multiple campaigns, conversations, and delivery timelines simultaneously, often without structured support,&rdquo; Khanna said. &ldquo;While the creator economy has grown rapidly, the systems that support creators&rsquo; day-to-day operations have not evolved at the same pace.&rdquo;&nbsp;
He further added &ldquo;Brands increasingly demand faster execution and greater accountability; operational efficiency is becoming as critical as creative output. Responsiveness and clarity now play a significant role in building trust and sustaining long-term partnerships,&rdquo; he noted.&nbsp;
Drawing from its experience across diverse campaigns and creator segments, Eleve Media has focused on developing infrastructure that supports creators beyond visibility alone. This approach has informed the development of&nbsp;CreatorTag, a platform designed to help creators manage collaborations, communication, and workflows in a more structured manner.&nbsp;
Addressing Communication Efficiency at Scale&nbsp;
As speed and clarity become increasingly central to professional credibility, industry stakeholders are exploring ways to reduce friction in routine creator-brand interactions. Repetitive queries, follow-ups, and time-sensitive messages now account for&nbsp;a significant portion&nbsp;of a creator&rsquo;s operational workload.&nbsp;
In response to these evolving requirements,&nbsp;CreatorTag&nbsp;has introduced features aimed at streamlining routine communication. One such feature,&nbsp;Swift&nbsp;Reply, is intended to&nbsp;assist&nbsp;creators in managing&nbsp;frequently&nbsp;occurring interactions more efficiently, while&nbsp;maintaining&nbsp;consistency and individual communication style.&nbsp;
Rather than replacing personal engagement, such tools are designed to reduce repetitive manual effort, allowing creators to remain responsive without constant administrative intervention. This is particularly relevant for creators handling multiple collaborations simultaneously, where communication delays can affect timelines and campaign outcomes.&nbsp;
Why Speed and Clarity Are Becoming Industry Standards&nbsp;
As brands increasingly collaborate with multiple creators across platforms, communication efficiency has&nbsp;emerged&nbsp;as a key operational consideration. Delayed or inconsistent responses can disrupt campaign execution and strain long-term partnerships, making responsiveness an essential aspect of professional conduct.&nbsp;
Industry observers note a broader transition within the creator ecosystem-from informal workflows toward more structured systems that prioritise sustainability. For creators without dedicated management teams, access to operational support tools can play&nbsp;an important role&nbsp;in&nbsp;maintaining&nbsp;growth without increasing burnout.&nbsp;
Looking Ahead&nbsp;
The future of the creator economy will be shaped not only by creative excellence, but also by how effectively creators manage the operational aspects of their work. As the industry continues to mature, solutions that enhance efficiency without compromising authenticity are expected to gain greater relevance.&nbsp;
By focusing on infrastructure and operational support, platforms&nbsp;operating&nbsp;in this space highlight the growing recognition that long-term creator success depends on more than visibility alone-it depends on systems that allow creativity to thrive sustainably.&nbsp;

From ride-hailing fares and online shopping carts to subscription plans and travel bookings, algorithms now play a central role in determining what consumers pay. While AI-driven pricing systems promise greater efficiency and personalization, they have also raised concerns about fairness, transparency, and long-term trust. Following the publication of two recent IEEE conference papers, AI systems researcher Anmol Aggarwal discusses how pricing algorithms can produce hidden disparities and how fairness can be deliberately incorporated into large-scale optimization systems.
Q: You recently published two IEEE conference papers, &ldquo;Fairness-Aware Personalized Pricing: A Simulation Study of Trade-offs Across Behavioral, Group, and Envy-Based Constraints&rdquo; and &ldquo;GTSO++: Fairness-Aware Causal Uplift for Tiered Pricing with Generative Personas.&rdquo; What problem do these papers address, and why does it matter now?
Anmol Aggarwal: Personalized pricing and promotions are now driven by machine learning across many digital products. The core issue is that systems optimized purely for short-term revenue can create hidden unfairness. The first paper examines fairness trade-offs in personalized pricing across multiple fairness constraints. The second paper, GTSO++, introduces a fairness-aware causal uplift approach for tiered pricing and uses generative personas to evaluate outcomes across diverse user behaviors. The research is particularly relevant as pricing systems increasingly operate at scale, and without explicit fairness objectives, it becomes challenging to audit or correct their long-term impact.
Q: In simple terms, what makes AI-driven pricing &ldquo;unfair,&rdquo; and what does your first paper add to existing discussions about price discrimination?
Aggarwal: Unfairness in AI pricing is often not about a single price difference. It emerges as a pattern over time. What the paper adds is a structured way to compare different fairness definitions that are often discussed separately. Instead of treating fairness as one vague concept, we measure behavioral, group, and envy-based fairness side by side in a controlled simulation. This allows us to quantify the trade-offs involved and understand how different fairness goals change system behavior.
Q: You focus on three fairness types. Can you briefly explain what they mean in the context of pricing?
Aggarwal: Behavioral fairness looks at whether specific behavior segments are systematically disadvantaged. A typical example is loyal or high-intent users consistently paying more because models assume they will convert regardless.
Group fairness focuses on parity across defined groups, where the concern is whether pricing outcomes align with demographic or categorical differences.
Envy-based fairness comes from economics and asks whether one individual would prefer another person&rsquo;s outcome. In pricing terms, it relates to how often users experience worse prices than comparable users, which directly affects perceived fairness and trust.
Q: Your study emphasizes trade-offs. What happens when companies enforce fairness constraints in pricing systems?
Aggarwal: The primary trade-off is between unconstrained revenue optimization and limiting disparities. Stronger fairness constraints reduce the degrees of freedom available to the algorithm, which can lower short-term uplift. However, our results show that the &ldquo;price of fairness&rdquo; is often modest. In many scenarios, meaningful reductions in disparity come with relatively small performance losses.
One finding highlighted by the research is a design decision with measurable consequences. Systems should make these trade-offs explicitly, rather than allowing unfair patterns to emerge unintentionally.
Q: Your second paper uses causal uplift modeling. Why is this approach particularly suited to pricing and promotions?
Aggarwal: Standard prediction models estimate whether someone will buy, but they do not answer whether an intervention changes the outcome. Causal uplift modeling focuses on the incremental effect of an offer compared with no offer. This distinction matters because giving discounts to users who would buy anyway can be inefficient and can also create perceived unfairness.
Q: What does GTSO++ add beyond traditional uplift-based systems?
Aggarwal: GTSO++ integrates fairness constraints directly into the uplift-based allocation of pricing tiers or offers. Traditional systems rank users purely by expected incremental response. GTSO++ ensures that the final allocation also respects fairness objectives, rather than optimizing uplift alone.
The method also introduces generative personas as a stress-testing layer. Persona-based simulation helps surface fairness failures that might otherwise remain hidden until after deployment.
Q: Generative personas may sound abstract. How are they used in practice in your research?
Aggarwal: In this work, generative personas are simulated user profiles with controlled behavioral traits such as loyalty, impulsivity, price sensitivity, or trust decay. The goal is not to replace real data, but to probe system behavior under varied conditions.
For example, we can simulate how a pricing policy behaves if a segment becomes more price-sensitive, or if repeated perceived unfairness erodes trust. This allows teams to test robustness and fairness before policies reach production.
Q: What should companies take away from this research if they already rely on A/B testing and revenue metrics?
Aggarwal: A/B tests and revenue metrics are necessary, but they are not sufficient. Companies should track disparity metrics aligned with their fairness goals, and distinguish correlation from causal impact when allocating offers.
Pre-deployment stress-testing, including persona-based simulation, can help identify risks earlier in the decision pipeline.
Q: What keeps you grounded outside of work?
Aggarwal: Continuous learning and mentoring help maintain perspective.
The shift toward pervasive AI-driven pricing makes responsible optimization a central challenge. This research highlights how fairness must be addressed deliberately in system design. Aggarwal contends that future pricing systems will be evaluated not just on performance, but also on the transparency and equity with which they treat users.

In many Indian households, scalp oiling and massage are seen as weekly rituals-often passed down from mothers and grandmothers. But while the practice may feel old-school or even outdated in a world of fancy serums and gadgets, there&rsquo;s more to Ayurvedic scalp massage than just tradition.
Modern research is beginning to catch up with what Ayurveda has known for centuries: gentle, intentional scalp massage can do more than relax you-it can actually support better hair growth.
What Is Ayurvedic Scalp Massage?
In Ayurveda, the scalp is viewed as an extension of the nervous system. Oiling and massaging the head (known as Shiro Abhyanga) is believed to:

Balance the doshas (especially Pitta, which governs heat and metabolism)
Improve blood circulation to the hair follicles
Reduce excess body heat
Calm the mind and support deeper sleep

The process usually involves using warm herbal oils and applying them in slow, circular motions across the scalp, temples, and neck.
Scientific Benefits of Scalp Massage
You don&rsquo;t need to fully believe in doshas to benefit from Ayurvedic scalp massage. Here`s what modern studies and observations suggest:
1. Improved Blood Flow
Massage increases blood circulation to the scalp, which delivers more oxygen and nutrients to hair follicles. This helps stimulate dormant follicles and supports the growth phase of hair.
2. Reduction in Stress Hormones
Stress is a major trigger for hair fall. Scalp massage can reduce cortisol levels and promote parasympathetic nervous system activity (the &ldquo;rest and digest&rdquo; mode).
3. Stimulation of Dermal Papilla Cells
These are the key cells at the base of hair follicles that control the hair growth cycle. Some studies show that regular scalp massage may influence their activity and thickness of the dermis.
4. Loosening of Tension
Tightness in the forehead, temples, or neck can reduce scalp flexibility and restrict blood flow. Massage helps relieve this tension, allowing the scalp to &ldquo;breathe.&rdquo;
Best Oils for Ayurvedic Scalp Massage
Choosing the right oil is as important as the massage itself. Here are a few commonly used options in Ayurveda:

Bhringraj oil: Often called the &ldquo;king of herbs&rdquo; for hair. Known to strengthen roots and support regrowth.
Amla oil: Rich in vitamin C and antioxidants. Helps cool the scalp and reduce hair fall.
Coconut oil: Good for calming excess Pitta and reducing scalp heat.
Brahmi oil: Used to soothe the mind and support mental clarity-especially helpful if hair fall is linked to anxiety or poor sleep.
Neem oil: Helpful if dandruff, itching, or scalp infections are present.

Warm the oil slightly before applying. This helps open the pores and improves absorption.
How to Do It Right
You don&rsquo;t need a professional to get started. Just follow a few simple steps:

Warm the oil until it`s lukewarm-not hot.
Apply small amounts across different areas of your scalp.
Use your fingertips (not nails) to massage in small circles.
Spend 5&ndash;10 minutes covering the entire scalp and temples.
Let the oil sit for 30&ndash;60 minutes before washing off with a mild shampoo.

Do this 2&ndash;3 times a week for best results. Avoid aggressive rubbing or pulling.
More Than Just Hair Benefits
Ayurvedic scalp massage has ripple effects across your body:

Supports deeper sleep and reduces racing thoughts
Relieves eye strain and tension headaches
Helps balance mood by calming the nervous system
Can reduce the tendency to touch/pick hair (common with stress-based hair fall)

It&rsquo;s not just a beauty routine-it&rsquo;s a full-system reset in 10 minutes.
Combining Tradition With Modern Understanding
Today, platforms like Traya combine the age-old wisdom of scalp massage with science-backed hair diagnostics. For those whose hair fall is linked to stress, inflammation, or excess scalp heat, they include oiling and massage as part of a broader root-cause treatment plan.
The result? A more complete approach that doesn&rsquo;t discard tradition-but places it in context.
Final Thoughts
Ayurvedic scalp massage isn&rsquo;t just about oil or habit. It&rsquo;s about tuning in, slowing down, and giving your scalp the attention it needs to recover and thrive.
In a world full of quick fixes, this is one ritual that&rsquo;s slow-but powerful. And the science is starting to agree.
Disclaimer: Mid-Day holds no responsibility or liability for any direct, indirect, implied, punitive, special, incidental, or consequential damages resulting directly or indirectly from the use of this content. It is advisable to seek guidance from an expert advisor or health professional as the information on the site is not a substitute for professional medical advice, diagnosis, or treatment. The information provided should not be used for diagnosing or treating a health problem or disease, and individuals seeking personal medical advice should consult with a licensed physician. The views and opinions expressed are those of the sponsor/author/agency and do not represent the stance or views of Mid-Day. Any purchases made from the branded segment are at your own discretion and risk. 

Owning a vehicle insurance guarantees that the vehicle owner prioritizes their own safety and that of the others.

Financial Implications of Driving Without Insurance

/buzz/text-shots/financial-implications-of-driving-without-insurance-537

Kashyap envisions a future where AI-driven automation and serverless infrastructure operate in perfect harmony.

Gaurav Kashyap’s contributions serve as a benchmark

/buzz/text-shots/gaurav-kashyaps-contributions-serve-as-a-benchmark-for-innovation-and-impact-521

Discover why when searching for undervalued tokens with massive potential, keep your eyes on FXGuys, FLOKI, Shiba Inu, Uniswap, and Dogecoin.

The crypto market is a battlefield of innovation, resilience

/buzz/text-shots/the-crypto-market-is-a-battlefield-of-innovation-resilience-and-the-occasional-meme-fueled-madness-514

IntelMarkets (INTL) is set to revolutionize crypto trading with the launch of the world`s first fully-backed AI-powered platform.

IntelMarkets Stands Out From the Competition

/buzz/text-shots/intelmarkets-stands-out-from-the-competition-513

Sifat’s journey with Phoenix by Sifat shows that even small actions can lead to big changes.

Eight-Year-Old Sifat Raises Over Rs 1 Lakh for Street Dogs

/buzz/text-shots/eight-year-old-sifat-raises-over-rs-1-lakh-for-street-dogs-with-eco-friendly-soap-brand-507

Kareena Kapoor Khan’s presence as Gloirio’s brand ambassador has been instrumental in its success. 

Crafting Unique Spaces with Gloirio

/buzz/text-shots/crafting-unique-spaces-with-gloirio-476

Dr. Kiran Bedi applauded the initiative, emphasizing the importance of recognizing individuals who embody selfless service and innovation.

Dr. Basant Goel has been bestowed with the prestigious Ratan

/buzz/text-shots/dr-basant-goel-has-been-bestowed-with-the-prestigious-ratan-tata-business-excellence-award-2024-475

Why Fixed Deposits will be the best investment options in 2025.

Why Fixed Deposits Are a Safe Investment Option in 2025?

/buzz/text-shots/why-fixed-deposits-will-be-the-best-investment-options-in-2025-468

Pulkit began his journey in 2009, joining his father`s business, which already had a strong foothold in exporting utensils and rice to West Africa.

Lessons in Diversification From Pulkit Jain Who Built a Mult

/buzz/text-shots/pulkit-began-his-journey-in-2009-joining-his-fathers-business-which-already-had-a-strong-foothold-in-exporting-utensils-and-rice-to-west-africa-465

Linear measurement tools are essential for determining the dimensions of an object. These tools provide a way to quantify distance in a straight line.

A Beginner`s Guide to Accurate Linear Measurements in Engine

/buzz/text-shots/why-do-we-need-linear-measurement-tools-457

Check, and read the latest and breaking Buzz News at Mid-day. Here you’ll get all types of news and headlines.

Text Shots

Buzz News Stories

Must-Have Coins For January: Digitap (USD TAP), Solana, and XRP

Must-Have Coins For January: Digitap (USD TAP), Solana, and XRP

Systematic Approaches to Trading Volatility Using Options Strategies

As the Creator Economy Matures, Communication Is Emerging as a Critical Challenge

AI Pricing Isn’t Just About Revenue-It’s About Fairness, Says Researcher Anmol Aggarwal

Exploring the Science Behind Ayurvedic Scalp Massage

Home / Buzz

Text Shots

Buzz News Stories

Must-Have Coins For January: Digitap (USD TAP), Solana, and XRP

Must-Have Coins For January: Digitap (USD TAP), Solana, and XRP

Systematic Approaches to Trading Volatility Using Options Strategies

As the Creator Economy Matures, Communication Is Emerging as a Critical Challenge

AI Pricing Isn’t Just About Revenue-It’s About Fairness, Says Researcher Anmol Aggarwal

Exploring the Science Behind Ayurvedic Scalp Massage