Business
How to Retain Key Employees After an Acquisition
When a company is acquired, about 18% of its employees are gone within 18 months, and departures among senior management run close to 20%, according to Revelio Labs.
The people most likely to leave are often the ones a buyer most needs to keep: the leaders, the relationship holders and the specialists whose knowledge is not written down anywhere. Retention is not an HR footnote to a deal. In service and knowledge businesses, it is the deal.
Keeping key people is not about paying everyone to stay. It is about knowing who matters, understanding why they leave and acting inside a window that closes fast. Here is how buyers hold onto the talent they paid for.
Identify the key people before the deal closes
You cannot retain people you have not identified, and the identification should happen during diligence, not after close. “Key” is not the same as “senior.” A mid-level engineer who wrote the core system, an account manager who personally holds the top customers or an operations lead the whole floor relies on can each be more critical than a title on an org chart.
Build a specific list. For each name, capture what they hold that the business depends on, how replaceable it is and how much flight risk they carry. This turns retention from a vague worry into a targeted plan, and it tells the buyer where to concentrate money and attention. A structured post merger integration checklist keeps this workstream on the same timeline as the rest of the integration, so retention is designed before Day One rather than scrambled together after the first resignation.
Understand why acquired employees actually leave
Money is rarely the first reason people leave after an acquisition. Uncertainty is. When employees cannot see their role, their manager or their future in the new organization, the confident ones start looking, and the confident ones are the ones with options.
Revelio’s data shows the pattern is not uniform. Certain roles leave at much higher rates: recruiters showed the highest attrition at 26%, and marketing roles also departed at higher rates, while technical and operations roles tended to stay. A buyer that understands which groups are most at risk can target communication and retention where the danger is highest instead of spreading effort evenly across a workforce that does not need it evenly.
Make retention offers specific and early
Retention offers work when they are concrete and when they arrive before someone has already mentally left. A generic “we value you” message does nothing. A specific conversation about this person’s role, this reporting line and this opportunity does.
Financial retention has its place, usually a stay bonus paid across the risk window, often the first 12 to 24 months, tied to remaining and to defined outcomes. But money alone buys presence, not commitment. The people who stay and stay engaged are the ones who see a real future: a defined role, a path to grow and a leader they trust. Pair any financial arrangement with a genuine answer to the question every key employee is silently asking, which is whether they are better off here than somewhere else.
Communicate more than feels necessary
In the absence of information, people assume the worst, and rumor fills the vacuum an acquisition creates. The buyer’s instinct to say nothing until everything is decided is exactly wrong. Frequent, honest communication, even when the message is “we have not decided this yet, and here is when we will,” beats silence every time.
Communication should be direct and personal for the key group. Town halls have their place, but the people who carry the value need one-on-one conversations with someone senior who can speak to their specific situation. Managers at every level need to be equipped to answer questions honestly, because employees trust their direct manager more than any corporate announcement. When the manager cannot answer, the employee concludes no one can.
Protect the culture that made the target worth buying
Buyers often acquire a company partly for how it works: its speed, its customer intimacy, its way of solving problems. Then they impose their own processes and wonder why the thing they bought stopped performing. Heavy-handed integration is itself a driver of attrition, because the people who thrived in one culture will not all thrive after it is bulldozed.
This does not mean leaving everything alone. It means being deliberate about what to preserve and what to change, and being honest with employees about which is which. Sequencing helps. Stabilize first, integrate deeper later and involve the acquired company’s own respected leaders in decisions about how the two organizations come together. People accept change they helped shape far more readily than change done to them.
Retention is a plan, not a hope
The buyers who keep their key people are not luckier than the ones who lose them. They identified the critical talent during diligence, understood which groups were most at risk, made specific and early offers, communicated more than felt comfortable and protected the culture worth keeping. With roughly a fifth of senior leaders gone within 18 months across the average deal, doing none of this is a choice to let the value walk out the door. Retention planning is how a buyer makes sure the team that built the business it bought is still there to run it.
Frequently asked questions
How many employees leave after an acquisition? Revelio Labs found that about 18% of acquired employees had left the parent company within 18 months, with senior management departures near 20% and some roles, such as recruiters at 26%, leaving at even higher rates. Much of that decision is made in the first weeks after close.
Who counts as a key employee in an acquisition? Key employees are the people the business depends on regardless of title: leaders, holders of top customer relationships and specialists with critical, often undocumented knowledge. They should be identified by name during due diligence so retention can be planned before the deal closes.
Do stay bonuses actually retain people? Stay bonuses help hold people through a defined risk window, usually 12 to 24 months, but money alone secures presence rather than commitment. Lasting retention comes from pairing any financial arrangement with a clear role, a growth path and a leader the employee trusts.
Why do acquired employees leave? The primary driver is uncertainty rather than pay. When employees cannot see their role, manager or future in the new organization, those with the most options start looking. Heavy-handed integration that erases the culture people valued is another common cause.
U.K. consumer goods company Reckitt Benckiser RKT said it agreed to divest of its hygiene arm in Russia, which has been dragging on sales due to changes to European Union sanctions on the country.
The maker of Durex condoms and Mucinex cold medicine said Friday that it was selling the Russian hygiene unit to Arnest Management. It didn’t disclose financial terms of the deal, but said the business represented around 1% of Reckitt’s net revenue in 2025.
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MiniMed: Next-Generation Diabetes Platform Supports A Buy Rating
The Jaipur-headquartered lender, which is in a transition into a universal bank, also announced the elevation of chief operating officer Yogesh Jain to deputy chief executive officer to strengthen the leadership bandwidth.
Its pre-provision operating profit rose 9% year-on-year at Rs 1435 crore, supported by a 32% surge in net interest income at Rs 2695 crore while a 97% fall in treasury earnings pulled other income down by 15% at Rs 689 crore.
The net interest margin for the quarter stood at 5.9%, improved by 47 basis points from what it was in the year-ago period. The key ratio however moderated 7 bps quarter-on-quarter.
The bank’s operating expenses increased 26% year-on-year at Rs 1949 crore, which the bank attributed to higher business volumes and investment in distribution, manpower, branding and technology.
Gross non-performing assets ratio improved to 2.1% as on June 30 from
2.5% a year prior, backed by a 22% decline in fresh slippages at Rs 798 crore.. The provision for the quarter came down 30% to Rs 372 crore from Rs 533 crore, led by normalisation of unsecured business, the bank said.
Its gross loan portfolio grew 23% year-on-year to Rs 1.44 lakh crore with secured business growth at 25% outpacing the unsecured loan expansion of 11%. Total deposits grew by 24% to Rs 1.58 crore.
Michigan battles massive outbreak as state reels from Trump cuts
“Cost-effective” is one of those phrases that means five different things depending on who’s asking. A freelancer producing 20 client images a week defines it very differently from a solo creator making three social posts a day. And “cheap” isn’t the same as “cost-effective” — a $5 plan that only lets you generate 30 usable images is worse value than a $30 plan giving you 3,000.
This piece takes ten of the most-used AI image platforms in 2026 and works out the actual economics: what a real image costs after credits, tiers, and annual discounts; what you get for free before paying anything; and how the effective cost per image changes once you start pushing volume. No headline prices without context — just the math.
The Cost-Effectiveness Framework
Four numbers determine whether a platform is genuinely a good deal:
- Effective cost per usable image. Not “per credit” — per image you’d actually keep and use.
- Free tier volume. Whether it’s enough to finish a real project before the paywall.
- Annual discount depth. Which platforms reward commitment, and by how much.
- Marginal cost at scale. What the 500th image of the month costs vs. the 50th.
A platform can win on one axis and lose on another. Below, each entry is scored on all four.
Quick Comparison
| Rank | Platform | Cheapest Paid Entry | Effective $/Image | Free Tier | Annual Savings |
| 1 | Chat Image | $14.9/mo (annual) | $0.12–$0.20 | 3 credits (1 image) | 25% off |
| 2 | Nano Banana Bingo | $19.9/mo (annual) | $0.015–$0.037/credit | 3 credits | Up to 33% off |
| 3 | Krea AI | $5/mo (annual) | ~$0.08 | 100 units/day | 40% off |
| 4 | Hailuo AI | $7.99/mo (annual) | $0.012–$0.02 | Trial credits | Up to 49% off |
| 5 | getimg.ai | $8/mo (annual) | $0.0015–$0.0033/credit | 100 free credits | 20% off |
| 6 | OpenArt | $12.6/seat/mo | $0.0018–$0.0035 | Limited daily credits | Up to 27% off |
| 7 | CGDream | $10/mo | $0.04–$0.06 | Free tier available | None advertised |
| 8 | EaseMate AI | $7.49/mo (annual) | $0.056–$0.098 | 200K chat tokens/day | ~25% off |
| 9 | Envato | $16.5/mo (Core annual, no AI) | $0.39 (Plus) | No AI on free | Up to 35% off |
| 10 | Shutterstock AI | $29/mo (annual) | $0.58–$1.99/credit | No AI on free | ~50% off vs. no-contract |
The Rankings
1. Chat Image — Predictable Per-Image Math
Most cost-effectiveness questions get complicated the moment credit tiers get involved. Chat Image sidesteps that by charging a fixed 3 credits per GPT Image 2 generation, regardless of aspect ratio or prompt complexity. You always know what one image costs.
Run the numbers across the four tiers:
- Basic annual — $178.8/yr ÷ (300 credits × 12 ÷ 3) = $0.149/image
- Basic monthly — $19.9/mo ÷ 100 images = $0.199/image
- Professional annual — $358.8/yr ÷ 2,600 images = $0.138/image
- Enterprise annual — $2,398.8/yr ÷ 20,000 images = $0.120/image
The gap between the cheapest tier ($0.12) and the most expensive path ($0.199) is under 40% — narrow compared to platforms where per-image cost swings 10× depending on which model you pick. Annual billing shaves 25% off every tier, applied uniformly rather than gated behind higher plans.
Value case: if your monthly output sits between 80 and 220 GPT Image 2 renders, Basic annual is the sweet spot. Beyond 500 images, Professional or Enterprise annual drops effective cost below $0.14.
Pros
- Fixed 3 credits per image makes budgeting straightforward
- 25% annual discount applied uniformly to all paid tiers
- Effective cost stays within a narrow $0.12–$0.20 band
- Commercial-ready downloads included from the entry paid tier
Cons
- Free tier caps at 3 trial credits
- Single-model pricing — no cheaper alternative model inside the same subscription
Best value for: anyone whose workflow centers on GPT Image 2 and wants a predictable monthly bill.
2. Nano Banana Bingo — Tier-Adjustable Cost Per Image
Nano Banana Bingo takes a different approach to pricing. Instead of a fixed cost per image, you dial cost up or down by choosing which of three model tiers to run — Standard, Lite, or Pro. Combine that with the per-credit pricing curve, and Nano Banana ends up with one of the more flexible cost profiles on this list.
Per-credit cost across the four plans:
- Starter monthly — $29.9 ÷ 800 = $0.037/credit
- Starter annual — $19.9 ÷ 800 = $0.025/credit
- Pro annual — $39.9 ÷ 1,600 = $0.025/credit
- Max annual — $69.9 ÷ 4,000 = $0.017/credit
- Ultra annual — $149.9 ÷ 10,000 = $0.015/credit
Because a Standard-tier image consumes fewer credits than a Pro-tier image, the same subscription can produce a very different number of usable outputs depending on how you allocate them. Users who mix quick drafts (Standard) with final renders (Pro) tend to get more mileage per dollar than users who run everything at max quality.
The Ultra plan’s 1×–5× usage multiplier is worth noting — it effectively expands the 10,000-credit ceiling for heavier workloads without moving you to a higher subscription bracket.
Pros
- Three model tiers let you match cost to output quality on a per-generation basis
- Per-credit cost drops from $0.037 to $0.015 as tiers scale
- Annual billing saves 20–33% depending on plan
- Ultra tier’s 1×–5× multiplier extends effective credit ceiling
Cons
- Starter plan does not include commercial licensing
- Credit-per-image count varies by chosen model tier
Best value for: users who mix quick iterations with high-quality finals, and want granular control over cost per generation.
3. Krea AI — Cheapest Paid Entry, Unlimited at the Top
Krea has the lowest paid entry price on this list: $5/mo on annual billing. That gets you 5,000 units, which Krea documents as roughly 64 Nano Banana 2 images or 20 Seedance 2.0 videos.
Effective image cost:
- Basic annual — $60/yr ÷ 768 images = $0.078/image
- Pro annual — $252/yr ÷ 3,072 images = $0.082/image
- Max annual — $756/yr ÷ 9,216 images = $0.082/image on tracked units
But Max’s real value isn’t the tracked units — it’s the unlimited relaxed generations. Once you’re producing more than a few thousand images a month, marginal cost per image drops toward zero. That makes Max the cheapest per-image plan on the list at high volume, even though its headline price is $63/mo.
Krea also runs the deepest annual discount (40%), which is genuinely unusual — most platforms cap annual savings around 20–25%.
Pros
- Lowest paid entry price on this list ($5/mo annual)
- 40% annual discount (deepest of any platform here)
- Unlimited relaxed generations on Max drives marginal cost toward zero
- Transparent unit-to-image conversion published by the platform
Cons
- Free tier limited to single-task image generation, no video concurrency
- Node-based workflow adds a learning curve for prompt-only users
Best value for: heavy users who can commit annually and are willing to work in relaxed mode.
4. Hailuo AI — Cheapest Frontier-Model Access
Hailuo’s cost-effectiveness case is different from the others: you’re not paying the lowest per-image rate, you’re paying the lowest rate for access to frontier models. Veo 3.1, Sora 2, Seedance 2.0, Nano Banana Pro, Seedream 5.0 Lite, GPT Image 2 — all inside one $7.99/mo annual subscription.
Standard-tier image cost math:
- A GPT Image 2 image at 1K/Low = 2 Shells
- Standard annual — $7.99 ÷ (1,000 Shells ÷ 2) = $0.016/image
- Pro annual — $27.99 ÷ (4,500 Shells ÷ 2) = $0.012/image
Pro and above unlock unlimited generation on selected models at set resolutions — Nano Banana at 1K on Pro, at 2K on Master, and other image models up to 4K on Max. That effectively drives marginal cost to zero for the models you use most.
Annual billing saves up to 49% — the largest percentage discount on this list (Krea’s 40% is on smaller absolute numbers).
Pros
- Cheapest single subscription that includes Veo 3.1, Sora 2, and Seedance 2.0
- Up to 49% annual savings
- Unlimited generation on selected models from Pro tier upward
- Watermark removal on every paid plan
Cons
- Shell-based currency adds a mental conversion step
- Free tier is a one-time trial rather than recurring
Best value for: users who want premium video and image models under one bill.
5. getimg.ai — Lowest Per-Credit Rate
getimg.ai’s per-credit pricing is the tightest on this list: $0.0033 on Entry monthly down to $0.0015 on Ultra annual. Combined with a full multi-modal toolkit — image, video, music, speech — that makes it one of the strongest value propositions if you’d otherwise be paying for multiple tools.
Tier math (per credit):
- Entry monthly — $10 ÷ 3,000 = $0.0033
- Entry annual — $96 ÷ 36,000 = $0.0027
- Core annual — $300 ÷ 180,000 = $0.00167
- Ultra annual — $1,800 ÷ 1,200,000 = $0.0015
Actual per-image cost depends on which of the platform’s 11+ image models you use, so budgeting requires a bit of testing. But even at 5× credit consumption per image, effective cost still comes in under $0.02.
Pros
- Lowest per-credit rate on this list ($0.0015 on Ultra annual)
- Multi-modal coverage — one subscription replaces three
- Commercial rights on every paid tier
- 100 free credits to start
Cons
- Effective per-image cost varies by model, complicating exact budgeting
- Entry plan is single-user only
Best value for: small creative teams replacing multiple single-purpose subscriptions.
6. OpenArt — Lowest Headline $/Image
If you look purely at published per-image math, OpenArt wins the headline number. Its 1 credit ≈ 1 image conversion, combined with generous credit allocations, pushes effective cost to $0.0018–$0.0035.
Tier math:
- Essential annual — $151.2/yr ÷ 48,000 credits = $0.00315/image
- Advanced annual — $278.4/yr ÷ 144,000 credits = $0.00193/image
- Infinite annual — $524.4/yr ÷ 288,000 credits = $0.00182/image
That’s an order of magnitude below Chat Image or Nano Banana Bingo. The caveat: those numbers apply to base image generation. Video, premium models, and higher-resolution options consume more credits per output, which pulls the effective average up. Realistic mixed-use per-image cost typically lands in the $0.01–$0.03 range once you factor in the models most people actually pick.
Still, for base image workloads, OpenArt is genuinely cheap per unit.
Pros
- Lowest headline per-image cost on this list ($0.0018 on base images)
- 100+ models accessible from one subscription
- 27% annual discount
- Wonder tier includes unlimited Seedream 5.0 Pro generation
Cons
- Essential plan excludes commercial rights
- Per-seat billing scales up quickly for teams
Best value for: solo creators generating high volumes of base-model images.
7. CGDream — 2D + 3D Under One Bill
CGDream’s cost-effectiveness comes from being one of the few platforms that generates both 2D images and native 3D models at consumer pricing. Text-to-3D and image-to-3D would normally require a separate subscription.
Per-image math at 60 credits per default Flux/Pro 1.1 image:
- Basic — $10 ÷ (10,000 ÷ 60) = $0.06/image
- Pro — $30 ÷ (40,000 ÷ 60) = $0.045/image
- Premium — $60 ÷ (90,000 ÷ 60) = $0.04/image
Credit-to-dollar ratio scales 1× / 4× / 9× across tiers — jumping to Pro effectively quadruples value per dollar, and Premium multiplies by nine. All paid plans advertise “Unlimited Credits per Day” and Relaxed Generations as a fallback.
No public annual discount, which is unusual on this list. If you can only commit monthly, though, CGDream’s tier scaling still delivers.
Pros
- Native 2D + 3D generation under one subscription
- Credit-value ratio scales 1× / 4× / 9× across tiers
- Unlimited Credits per Day advertised on all paid plans
- Inpainting included alongside standard workflows
Cons
- No publicly advertised annual discount
- Basic plan lacks Slow Mode fallback
Best value for: anyone working across 2D and 3D who wants one bill instead of two.
8. EaseMate AI — Bundle Economics
EaseMate’s pricing looks mid-range on image generation alone — around $0.056–$0.098 per image. What tips it toward cost-effective is the bundling: image, video, LLM chat (GPT-5, Claude, Gemini), OCR, PDF chat, translation, and math solvers all in one subscription.
Tier math on default 10-credit images:
- Lite annual — $89.88/yr ÷ 14,400 credits × 10 = $0.062/image
- Pro annual — $202.8/yr ÷ 36,000 credits × 10 = $0.056/image
- Credit packs — $0.098/image (500-pack) down to $0.070/image (15,000-pack, 30% off)
Credit packs never expire, which matters for irregular usage. If you generate 100 images one month and 500 the next, you don’t lose unused allocation.
Renewal pricing is worth watching — first-month/first-year promos step up on renewal.
Pros
- Image + video + chat + productivity in one subscription
- Credit packs never expire
- Access to GPT-5, Claude, Gemini, Midjourney, and Sora 2 under one bill
- 30% discount on largest credit pack
Cons
- Promotional first-cycle pricing steps up on renewal
- Free tier disables OCR and Face Swap
Best value for: solo users consolidating multiple SaaS subscriptions.
9. Envato — Only If You Need the Stock Library
Envato’s AI-generation math looks weak in isolation: $0.39 per generation on Plus annual, at only 100 generations/month. Compared to specialist tools charging $0.02, that’s a 20× premium.
But Envato isn’t sold as a pure AI tool. The $16.50/mo Core plan unlocks 28M+ stock assets with lifetime commercial licenses. The $39/mo Plus plan adds 100 AI generations on top. If you’d otherwise be paying for Envato Elements anyway, the incremental AI cost is $22.50/mo — a much better number.
For unlimited AI, Ultimate at $109/mo eliminates the per-generation cap. At 500 generations/month, effective cost drops to $0.22/image. At 2,000/month, $0.055/image.
The value case only works if the stock library matters. As a standalone AI subscription, it’s the worst deal on this list.
Pros
- Lifetime commercial license on all AI outputs and stock downloads
- 28M+ asset library included alongside AI
- Unlimited AI generation on Ultimate reduces effective per-image cost at volume
- Broad model access (Flux, NanoBanana, Veo, Kling, ElevenLabs, Topaz)
Cons
- Core plan excludes AI generation entirely
- Per-generation cost on Plus is 10–20× higher than specialist tools
Best value for: teams already paying for stock media who want AI in the same bill.
10. Shutterstock AI — Value Only if You Already Need Stock
Shutterstock’s per-AI-credit cost is the highest on this list — $0.58–$1.99 per credit if you attribute the full subscription cost to AI usage. As a standalone AI platform, it’s not competitive.
But like Envato, that’s not really how anyone uses it. The $29/mo annual Unlimited Images plan buys you unlimited downloads from 83M+ premium images and 100M+ videos/music/SFX. The 50 monthly AI credits are a side dish.
If you’re already paying for stock, the AI credits are effectively free at the margin. If you’re not, this is the wrong platform.
Annual billing roughly halves the cost vs. no-contract pricing — the steepest percentage swing on this list, though the base rate is high enough that the savings don’t outweigh specialist tools for pure AI use.
Pros
- Access to Imagen 4 Ultra, Gemini 3.1 Flash, GPT models, and Runway
- 83M+ images and 100M+ mixed-media assets bundled
- Single-user commercial license simplifies rights management
- ~50% savings on annual vs. no-contract billing
Cons
- Standalone AI cost-per-credit is the highest on this list
- 50–100 monthly AI credits is low for AI-first workflows
Best value for: teams already using Shutterstock stock who want light AI supplementation.
Where Your Dollar Goes Furthest
Under $10/mo: Krea Basic annual ($5) and getimg.ai Entry annual ($8) are the cheapest paid entries. Krea has the deeper discount; getimg.ai has the wider tool coverage.
Under $20/mo, single tool: Chat Image Basic annual ($14.9) delivers the most predictable per-image cost. Nano Banana Bingo Starter annual ($19.9) delivers the widest cost-quality range.
Best per-image headline: OpenArt Advanced annual at $0.0019 on base images.
Best per-credit rate: getimg.ai Ultra annual at $0.0015.
Deepest annual discount: Hailuo (49%) and Krea (40%).
Cheapest frontier-model access: Hailuo Standard annual at $7.99/mo.
Best bundle economics: EaseMate (image + video + chat + productivity), Krea (image + video + 3D + workflows), getimg.ai (image + video + music + speech).
Final Thoughts
Cost-effectiveness isn’t a single ranking — it’s a match between your workflow and a pricing model. Someone generating 50 images a month at fixed quality gets the best deal from Chat Image. Someone generating 5,000 mixed-quality images gets the best deal from Krea Max or OpenArt Wonder. Someone who needs Veo 3.1 and Nano Banana in the same subscription gets the best deal from Hailuo.
The math on this list is real, but so is the workflow fit. The cheapest platform in dollars per image isn’t cost-effective if you spend an extra ten hours a month working around it.
Pick two or three that match your actual output pattern, generate the same prompts through each free tier, and calculate cost per usable image — not per credit. That’s the number that matters.
Stocks looked set to struggle for direction on Friday as a drop in oil prices eased fears about higher inflation, even as artificial-intelligence jitters lingered.
Dow Jones Industrial Average futures gained 231 points, or 0.5%. S&P 500 futures ticked up 0.2%. Nasdaq 100 futures rose 0.1%.
The Dow was on track to outperform the other two major indexes because it tends to be more reactive to oil prices, which were retreating having spiked above $100 a barrel the previous session.
Earnings call transcript: Jindal Steel Q1 2027 margins improve as volumes dip
Business
Concurrent Gainers: 12 smallcap stocks that gained for 5 days in a row – Against Market Odds
Over the five trading sessions ending July 24, the Sensex declined 2.68%, or 2,092 points, to close at 76,059. The benchmark index finished lower in each of the five sessions (July 20–24). Despite the broader market weakness, 11 smallcap stocks bucked the trend, posting gains in all five trading sessions and delivering cumulative returns of up to 35% during the period. (Data Source: ACE Equity)
Jindal Steel Q1FY27 slides: margins rise as value-added mix grows
Business
Bitcoin stays near $64K, Ethereum underperforms as weak risk appetite keeps crypto markets under pressure
In the past 24 hours, both Bitcoin and Ethereum were down 2% respectively. Among the major altcoins, BNB, XRP, Solana, Tron, Hyperliquid, Dogecoin, and Cardano corrected up to 3%.
Also Read | Explained: Thinking about building a Rs 1 crore corpus? Here’s how much you should invest through SIPs The global crypto market capitalisation edged down 2% to $2.19 trillion, according to CoinMarketCap.
Riya Sehgal, Research Analyst, Delta Exchange said Bitcoin’s one-year realized volatility is near 42%, while the broader Bitcoin implied-volatility gauge is around 37, close to multi-year lows and this divergence between subdued historical movement and low options pricing points to a tightly coiled market, where the next decisive macro or liquidity catalyst could trigger a meaningful expansion in volatility.
Technically, Bitcoin remains constructive above the $64,100–$64,700 demand zone, although repeated rejection near $66,500–$67,200 shows fading upside momentum. Ethereum is comparatively weaker below $1,880–$1,890, with $1,790 acting as the key structural support, Sehgal further said.
In the past week, Bitcoin was down 0.03% and Ethereum was up 0.6%. Among the major altcoins, BNB, XRP, Solana, Hyperliquid, Dogecoin and Cardano fell up to 4% whereas Tron was up 2%.Nischal Shetty, Founder, WazirX said crypto markets ended the week on a steady note, with Bitcoin trading in the $64,500-$66,300 range and Ethereum fluctuating between $1,860 and $1,930.
“Market sentiment improved early in the week on the back of positive regulatory developments and sustained institutional participation, although renewed geopolitical tensions later prompted a modest pullback.”
Ethereum continued to outperform on the back of record staking participation and growing institutional accumulation, Shetty further said.
(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
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