I want to start with a confession.

I built trading bots that my community relies on every day. I’ve spent more hours than I can count debugging alert logic, fixing duplicate signals, tuning parameters, and rebuilding systems from scratch when they broke in ways I didn’t anticipate. I believe in what I’ve built.

And I still make bad trades.

Not because the tools don’t work. They work. But because somewhere between the alert firing and my finger hitting the button, I stopped being a systematic trader and became a human being with opinions, emotions, a position that was already down, and a completely irrational certainty that this next one was going to recover everything.

The tools didn’t fail me in those moments. I failed myself. And I’ve watched enough traders in my community make the same mistake often enough to know that what I’m about to say is the conversation the AI trading tools industry is actively avoiding — because it doesn’t help them sell subscriptions.

So let’s have it.

The alert is not the trade

This sounds obvious. It isn’t, apparently.

I built my swing bot to scan multiple timeframes, identify setups based on criteria I defined when I was calm and thinking clearly, and push alerts to my Discord. It does that job well. But I’ve sat in live sessions and watched members receive an alert and enter a position within seconds — no volume check, no broader market context, no consideration of whether they’d already taken two losses that morning and maybe shouldn’t be trading at all.

The bot flagged a setup. They heard a decision.

Those are not the same thing. An alert tells you something worth examining just happened. It says nothing about whether you should act, how large your position should be, what your stop is, or whether this particular day is a good day for you to be pulling triggers at all. A VWAP reclaim on above-average RVOL in the context of a strong sector tape means something different than the same signal on a news-driven spike in a choppy overall market. The bot can’t know that. You have to know that.

This is the gap nobody in the AI tools space wants to talk about. The tools are built to look impressive in demos — fast, confident, clean. What they’re not built to do is slow you down when you should be slowing down. And the moments that cost traders the most money are rarely the ones where they had bad information. They’re the ones where they had good information and moved on it before they’d thought it through.

AI amplifies what you already are

This is the thing I had to learn the expensive way.

There was a stretch where my swing bot’s signal quality was genuinely good — the setups it was flagging were clean, the follow-through was there, and the logic held up. And my account still underperformed during that period. Not because of the bot. Because I was also day trading separately, making impulsive entries on tickers that had nothing to do with my system, averaging into losers, ignoring the rules I’d set for myself and justifying every single exception in the moment.

The bot was doing its job. I wasn’t doing mine.

What that experience clarified — painfully, over multiple sessions — is that an AI tool is not a floor that catches you when you’re trading badly. It’s a multiplier on whatever you’re already doing. If your discipline is solid, your risk management is consistent, and you’re genuinely following a process, the right tool can sharpen your edge in real ways. If you’re chasing, overtrading, letting losses make you reckless — the tool just helps you do all of that with more information and faster execution.

I have a rule I keep for myself: by 10:30 AM on Fridays, I’m out of everything. No new entries. The week is done. It took a while to build that discipline. No bot gave it to me. I built it because I’d seen too many times what happened when I didn’t have it.

Rules like that — the ones you make when you’re clear-headed and enforce when you’re not — are the real edge. The tool is secondary to the trader running it.

What these tools are actually good for

I don’t want to be all doom about it, because there’s genuine value here if you understand what you’re working with.

The honest case for AI trading tools comes down to three things.

Consistency. My system runs the same scan in hour four of a session as it ran at open — same criteria, same logic, same output. I don’t. By mid-afternoon, I’m tired, I’ve already made decisions I’m second-guessing, and my pattern recognition is quietly degrading in ways I can’t fully perceive in the moment. The bot doesn’t have that problem. It doesn’t have a bad day. In a domain where emotional fatigue kills performance, that’s nothing.

Coverage. I physically cannot watch 200 tickers across multiple time frames simultaneously and catch every relevant setup. The bot can. It misses nothing on its watchlist, which means I catch opportunities I would have missed and pass on noise I would have rationalized into something.

Record-keeping. Every alert my system generates is logged. Every condition that triggered it is documented. Over time, that data becomes something genuinely valuable — an honest performance record, stripped of the selective memory that leads most traders to overestimate their win rate because they remember the good trades more vividly than the bad ones. Automated systems don’t have selective memory. Mine has shown me setups I thought were working that weren’t, and setups I’d been dismissing that were consistently cleaner than I’d given them credit for.

All of that is real. None of it decides for you.

A word on bad products

I know traders who have been burned badly enough by AI tools that they’ve written off the whole category. Some of those experiences were completely legitimate — there are genuinely bad products in this space. Backtests built on look-ahead bias. Parameters curve-fitted to a specific period of market history that fall apart the moment conditions change. Marketing copy that implies a documented edge the underlying system has never actually demonstrated in live conditions.

Healthy skepticism toward specific products is rational. Dismissing everything because one tool was garbage is like avoiding all cars because one had faulty brakes.

The right question about any tool isn’t “can AI work in trading” — the evidence that systematic, data-driven approaches generate an edge is extensive and goes back decades. The right question is whether this specific tool, built on this specific logic, by these specific people, actually does what it claims when real money is on the line. Ask for a live track record. Not a backtest. A live track record, with drawdowns, with losing streaks, with all the ugly periods included.

If they don’t have one, or won’t show you one, that’s your answer.

The part nobody wants to hear

AI is not going to make trading easier.

The market at the margin is zero-sum. The participants on the other side of your trades are also using AI — many of them with better data, more compute, lower latency, and teams of quants who do nothing else. Retail AI tools don’t close that gap. They never will.

What they can do, in the right hands, is make you more consistent. More disciplined. Better at identifying the setups that actually fit your process and filtering out the ones that don’t. That’s real, and for the kind of systematic swing and position trading where I do my best work, it genuinely matters.

But it only works if you show up as the trader the system needs you to be. Not the trader who sees an alert and goes straight to the order ticket. Not the trader who blames the bot when a setup doesn’t follow through. The trader who built the rules understands why they exist and has enough self-awareness to know when they’re about to break them.

I built the tools. I still have to do that work.

So do you.

—

*Jinlu Wang is AI Editorial Strategist with Ubiq Broadcasting Corp, builds automated trading systems and web applications for financial markets. She runs Harp’s Trading, a paid investment research and trading community, and publishes institutional-style research covering AI infrastructure, energy, and commodity-linked technology themes.*

Share

The post What Retail Traders Get Wrong About AI Tools — From Someone Who Built Them appeared first on TV Punjab | English News Channel.

The Indian diaspora in the United States is one of the largest, most visible, and most economically influential immigrant communities. If India does not appear on a chart measuring welfare dependency, it is not because it was overlooked, but because it did not fit the narrative such a chart was designed to tell. Sometimes, data speaks loudest in what it does not say.

Indian immigrants, by and large, arrived through pathways that demanded skills, education and employability. Engineers, doctors, researchers, entrepreneurs — many came already equipped to contribute, not merely participate. Over time, this translated into higher median incomes, lower unemployment, and minimal reliance on public assistance. These are not symbolic achievements; they are structural outcomes of decades of emphasis on education, mobility and self-reliance.

To respond to this absence with complaint would be a misunderstanding about  its meaning — and worse, to risk diluting a hard-earned reputation. In global professional ecosystems, reputation is shaped less by protest and more by performance. The Indian community’s standing in the U.S. has been built quietly: through classrooms, hospitals, courtrooms, laboratories and boardrooms — not through demands for recognition.

There is also a cultural dimension at play. Indian success abroad has often been understated, almost invisible by design. It manifests not in slogans, but in stability; not in outrage, but in outcomes. The absence of India from a welfare-dependence list aligns with that tradition — a reminder that credibility often lies beyond the frame of political messaging.

This is not to suggest that every Indian immigrant prospers equally, or that hardship does not exist. It does. But national narratives are not built on exceptions; they are shaped by dominant patterns. And the dominant pattern here is one of contribution, not dependency.

In an age of performative nationalism and instant outrage, restraint itself can be a statement. India does not need to insert itself into every global debate to affirm its place. Sometimes, dignity lies in allowing facts to stand unamplified.

The invisible, in this case, is not a slight. It is a testament. And perhaps the most confident response is not to ask why India was missing — but to recognize why it did not need to be mentioned at all.

Share

The post The Power of Not Being Named appeared first on TV Punjab | English News Channel.

If measured by official language alone, the relationship appears to be in excellent health. Leaders on both sides speak of shared values, strategic trust, and a common vision for the Indo-Pacific. Military exercises continue to grow in scale and sophistication. Cooperation spans defense, technology, space, climate, and education. Few bilateral relationships today are as wide in scope.

Over the past year, tensions over trade, tariffs, and India’s energy choices—particularly its continued engagement with Russia—have strained the tone of the partnership. Sharp rhetoric from Washington and retaliatory frustration in New Delhi have reminded both sides that strategic alignment does not erase national interest. The relationship has not derailed, but it has lost some of its easy momentum.

This moment matters because U.S.–India ties are no longer driven by novelty or symbolism. The “historic breakthrough” phase is over. What remains is the harder work of managing expectations between two countries that are powerful, proud, and unwilling to subordinate their interests to the other.

At the strategic level, the logic of partnership is undeniable. The United States sees India as central to maintaining balance in Asia—too large to ignore, too independent to control, and too important to fail as a partner. In turn India recognizes that the U.S. remains unmatched in technology, capital, and global influence. Their cooperation is not sentimental; it is practical.

One of the persistent misunderstandings in Washington is the assumption that deeper partnership should naturally lead to closer alignment on every major global issue. India has never accepted that premise. It’s foreign policy has always been shaped by a desire to preserve room for maneuver, avoid entanglement, and make decisions case by case. This is not indecision; it is doctrine.

India’s engagement with Russia, most visibly in energy, has become the point where these differences surface most openly.  Washington see it as a contradiction. In New Delhi, it is understood as a necessary choice—rooted in economics, history, and a reluctance to allow outside pressure to define national policy. Neither side is acting irrationally—but they are operating from different assumptions.

Trade has become another fault line.  Even as both governments talk about building closer economic ties, old disagreements over tariffs, trade, and regulations are quietly resurfacing. For Indian businesses, these measures feel at odds with the promises of partnership. From the U.S. perspective, economic pressure has simply become a normal part of diplomacy. But if this gap between words and actions isn’t addressed, it could quietly sow long-term mistrust.

Defense cooperation is still going strong. Today, the two militaries work together more closely than ever before. Intelligence sharing, joint exercises, and coordination on equipment happen quietly and steadily—not through flashy announcements, but through consistent, professional collaboration.. These ties are built quietly—and that is often what makes them durable.

Technology collaboration is following a similar path. Cooperation in semiconductors, artificial intelligence, space research, and advanced manufacturing reflects a shared understanding that future power will be defined less by territory and more by innovation. These are long-term bets, insulated from the daily churn of political disputes.

Perhaps the most underappreciated strength of the relationship lies outside government altogether. The Indian diaspora in the United States—students, scientists, entrepreneurs, doctors—forms a human bridge that no policy disagreement can easily sever. These connections shape perceptions, soften rhetoric, and create incentives for stability on both sides. Governments argue; societies adapt.

In Washington, there is a growing impulse to sort partners into neat categories—aligned or unaligned, cooperative or obstructive. India fits none of these boxes comfortably. In New Delhi, there is rising skepticism about being described as a “key partner” while being subjected to public pressure and economic penalties. These perceptions are important because once trust is lost, it’s hard to get back.

The real danger isn’t a sudden breakup. It’s quieter—a slow shrinking of what the relationship can achieve. A relationship that continues to function, but stops dreaming big. That would be a loss—not just for the two countries involved, but for a global order that increasingly depends on flexible, plural partnerships rather than rigid alliances.

For the United States, the challenge is learning to work with an India that insists on being itself—independent, opinionated, and occasionally inconvenient. For India, the challenge is balancing autonomy with responsibility, ensuring that its insistence on strategic freedom does not slide into strategic ambiguity.

The U.S.–India relationship has reached a stage where success will not be measured by joint statements or summit photos, but by how well both sides manage disagreement without letting it define the partnership.  If they can manage that, the relationship won’t just survive—it could help shape global affairs for years to come.

Share

The post  US-India: A relationship that works, even when it doesn’t  agree appeared first on TV Punjab | English News Channel.

“Through our AI Box demo with Eagle-N at CES 2026, we will present a practical approach for effectively scaling AI capabilities even on existing mobility system,” said Jason (Jeongseok) Chae, Vice President and Head of Strategic Marketing & Sales at BOS.

“We aim to evolve beyond automotive semiconductors and become a core semiconductor company leading the era of Physical AI.”

At the event, BOS will outline its technology roadmap aligned with major industry shifts, including autonomous driving, Software Defined Vehicles (SDVs) and the expansion of Physical AI. The demonstrations are designed to show how mobility platforms can support a wide range of AI models based on convolutional neural networks and transformer architectures, while enabling real-time perception and decision-making.

Built on an on-device AI architecture, the AI Box processes sensitive data such as voice and video directly inside the vehicle, enhancing privacy and security while ensuring stable performance regardless of network connectivity.  BOS will demonstrate Vision-Language Models and Large Language Models at its booth in the Venetian Expo Hall A and at the Tenstorrent Demo Room, underscoring its ambition to position itself as a core semiconductor player in the emerging Physical AI era.

BOS Semiconductors is a fabless semiconductor company developing high-performance automotive semiconductors and AI accelerator solutions for autonomous driving and in-vehicle infotainment systems. With automobiles as its primary target market, the company is expanding its technology platform into broader Physical AI applications, including robotics and intelligent machines, leveraging the same product architecture across multiple mobility domains.

The company says the approach could help automakers reduce development costs and time by extending high-performance AI functions to both new vehicles and updated facelift models. By decoupling AI expansion from core vehicle systems, BOS aims to improve long-term competitiveness while accelerating adoption of advanced mobility features.

Share

The post CES 2026: BOS Semiconductors to Debut AI Box for Next-Generation Mobility   appeared first on TV Punjab | English News Channel.

The  company says future upgrades could also  include laser projection, mist effects, underwater lighting and scent dispersion, expanding its appeal to immersive experience designers. With a modular build, waterproof housing and remote operation capabilities, ARIVIA is positioning the drone as a long-term asset for both temporary events and permanent waterfront installations worldwide.

“Our water-surface light & fountain drone—a new entertainment platform that synchronizes light, water, sound, and motion to transform pools, resorts, ports, and waterfront venues into immersive show spaces.” Said  Michihiro Kobayashi, CEO of SPACEONE Fukushima (Space One Co., Ltd.), Japan.

The drone integrates multiple systems into a single platform, including LED illumination, precision fountain controls, GPS navigation and an onboard audio unit. Designed to operate either alone or in synchronized groups, ARIVIA units can transform harbors, resorts, public pools and waterfront landmarks into coordinated light-and-water performance spaces.

Beyond entertainment, ARIVIA is also highlighting the drone’s environmental and civic applications. The platform is capable of collecting real-time data such as water temperature, turbidity and oxygen levels, opening potential revenue streams in environmental monitoring, research and regional water management.

The company is pitching the technology as a scalable solution for event producers, municipalities and hospitality operators. Multiple drones can be deployed simultaneously to create choreographed shows, reducing the need for permanent infrastructure while allowing for rapid setup and reconfiguration.

Share

The post CES 2026 : For entertainment and environmental markets, ARIVIA to unveil autonomous water-surface drone   appeared first on TV Punjab | English News Channel.

According to EPS, William Tremblay is   Indigenous, 5’7” and approximately 142 lbs with a slim build. His hair and beard are brown, and he wears glasses. Tremblay was last seen crossing the road at approximately 4:30 p.m. in the area of Mill Woods Road and Millbourne Road. At that  time, it was reported that he was wearing a black jacket, a red sweater, red checkered pants and brown shoes with orange laces. Tremblay lived in central Edmonton.

“Tremblay’s family has not heard from him since Dec. 4, 2025. At this time, police are concerned that he might have succumbed to the cold climate. In order to assist them with verifying Tremblay’s direction of travel, police are asking community members in the area of Mill Woods Road and Millbourne Road to please review their CCTV and dashcam video footage between the hours of 4 and 8 p.m. and to please check their yards and outbuildings like sheds.”

Share

The post  To locate missing male, police seek public help   appeared first on TV Punjab | English News Channel.

This final injury inquiry was initiated further to a notice received from the Canada Border Services Agency stating that a preliminary determination had been made respecting the dumping of the above‑mentioned goods.

On April 21, 2026, the Tribunal will determine whether the dumping has caused injury or retardation or is threatening to cause injury to the domestic industry.

The Tribunal is an independent quasi-judicial body that reports to Parliament through the Minister of Finance. It hears cases on dumped and subsidized imports, safeguard complaints, complaints about federal government procurement and appeals of customs and excise tax rulings. When requested by the federal government, the Tribunal also provides advice on other economic, trade and tariff matters.

Any interested person, association or government that wishes to participate in the Tribunal’s inquiry may do so by filing Form I—Notice of Participation.

Share

The post Oil Country Tubular Goods : Tribunal initiates final injury inquiry appeared first on TV Punjab | English News Channel.

“CES offers a unique opportunity to step back from individual product announcements and assess where the broader autonomous delivery ecosystem truly stands,” said Mark Hamm, COO of Arrive AI.

“Our goal is to engage directly with operators, integrators, and technology leaders to better understand what’s working in real deployments, where gaps remain, and how AI and autonomy can be applied responsibly in environments where reliability and trust are non-negotiable.”

Arrive AI’s delegation will include Chief Operating Officer Mark Hamm, along with product lead managers and engineers, underscoring the company’s focus on real-world execution, system reliability, and applied AI in complex, regulated environments.

Insights gathered at CES will help inform Arrive AI’s ongoing product and platform development, particularly as the company continues building an autonomous delivery network centered on secure delivery points, AI-driven orchestration, and system-level integration.

By bringing product leaders and engineers to the show alongside executive leadership, Arrive AI aims to ensure that strategic decisions remain closely tied to real-world feedback from partners, customers, and industry peers.

Arrive AI’s patented Autonomous Last Mile (ALM) platform enables secure, efficient delivery to and from a smart, AI-powered mailbox, whether by drone, ground robot or human courier. The platform provides real-time tracking, smart logistics alerts and advanced chain of custody controls to support shippers, delivery services and autonomous networks. By combining artificial intelligence with autonomous technology, Arrive AI makes the exchange of goods between people, robots and drones frictionless and convenient. Its system integrates with smart home devices such as doorbells, lighting and security systems to streamline the entire last-mile delivery experience.

Share

The post Arrive AI to engage industry leaders at CES 2026 on autonomous delivery appeared first on TV Punjab | English News Channel.

“Together with Dolby, we’ve made immersive audio flexible for every home, LG Sound Suite is a testament to our shared focus on audio innovation,” said Lee Jeong-seok, head of the LG Media Entertainment Solution Company’s Audio Business Division. “LG Sound Suite combines Dolby Atmos FlexConnect with its wireless modular design and AI-driven tuning, so consumers can create the system they want and enjoy cinematic sound from any seat.”

LG Sound Suite works seamlessly with LG’s premium TVs, allowing users to pair any of its wireless components – including the M7 and M5 surround speakers and the W7 subwoofer – with or without the H7 soundbar for 27 possible configurations. This flexibility means consumers can create the perfect setup for their space, whether starting small or building a full 13.1.7-channel home theater. When the H7 soundbar serves as the lead device, Dolby Atmos FlexConnect works with any TV via HDMI, giving consumers the freedom to meet their entertainment needs. LG is also bringing Dolby Atmos FlexConnect to its 2026 premium TV lineup and select 2025 models^* through a future software update, unlocking even more ways to enjoy Dolby Atmos.

Audio is reclaiming its place in the living room as streaming has replaced physical media. Leading platforms now deliver movies, shows and sports in Dolby Atmos and other advanced formats, making cinematic sound widely accessible. This shift has revived home theater, with consumers seeking immersive audio to match the stunning TV visuals. LG Sound Suite answers this demand with wireless convenience, simplicity and performance, bringing true surround sound back to the heart of the home. With Bluetooth and Wi-Fi connectivity, LG Sound Suite offers seamless pairing for streaming and device integration, making setup as simple as enjoying the sound.

In this regard, LG adds its own layer of innovation to elevate the experience. Sound Follow leverages ultra-wideband (UWB) technology to adjust the listening sweet spot based on the user’s location. When combined with Dolby Atmos FlexConnect, this ensures personalized immersion – so any seat feels like the best seat. Additionally, Room Calibration Pro analyzes acoustic characteristics and applies AI processing to refine the sound for a balanced, room-filling audio experience.

“Dolby and LG are unlocking a new level of audio flexibility for anyone who wants to enjoy better sound with Dolby Atmos,” said John Couling, Senior Vice President of Entertainment at Dolby Laboratories. “Whether your speakers sit on a shelf or are tucked into a corner, Dolby Atmos FlexConnect fits naturally into any home without the complexity of traditional systems. We’re excited for consumers to experience this new level of audio flexibility and performance.”

LG Sound Suite will be on show during CES 2026 from January 6-9 at LG’s booth.

Every component in the LG Sound Suite features Peerless speaker units, a name synonymous with audio excellence for over a century and renowned for high-performance craftsmanship in premium speaker systems. By pairing the simplicity and flexibility of Dolby Atmos FlexConnect with the high-caliber acoustic performance of Peerless speakers, LG Sound Suite ushers in a new era of immersive Dolby Atmos sound.

Share

The post LG to unveil World’s First Dolby Atmos FlexConnect-Powered Soundbar System at CES 2026 appeared first on TV Punjab | English News Channel.

“Guns and organized crime impact all of us and our government is working with local, provincial and federal partners to ensure we are taking the right steps to confront this violence head-on. This new team will help to keep people and businesses in northern communities safe from the violence of criminal gang activities” said Nina Krieger, Minister of Public Safety and Solicitor General.

The ND-UGET, led by the Combined Forces Special Enforcement Unit (CFSEU-BC), will focus on targeted operations and intelligence gathering through collaborative efforts with local and regional policing partners to tackle the growing issue of criminal activity linked to the drug trade.

Based in Prince George, ND-UGET will patrol rural and remote communities, and supplement the work of local police with investigations into gang and organized-crime activities.

In recent years, organized crime groups have expanded drug trafficking operations, moving weapons along major corridors and targeting remote communities throughout northern B.C.

““A dedicated UGET team in the North District is a proactive investment in long-term public safety. It gives CFSEU-BC the ability to respond faster, work more closely with our law enforcement partners and maintain sustained pressure on the violent offenders driving the illicit drug trade in northern communities.” Said Manny Mann Assistant commissioner and chief officer, CFSEU-BC.

The new permanent ND-UGET builds on efforts by the CFSEU to combat organized crime in the North. From 2020 until 2024, the CFSEU’s UGET was deployed to northern B.C. 28 times, and another six times in the first nine months of 2025. This represents 26% of UGET’s total deployments.

From April 1, 2024 until March 31, 2025, the CFSEU-BC seized 143 firearms, more than $700,000 in illegal cash, 23 vehicles, 440 kg of illicit drugs (including 19 kg of fentanyl) and 1,370 kg of precursor chemicals.

“We are grateful to the Province for investing in the North District Uniformed Gang Enforcement Team, which will strengthen enforcement against organized crime in the North. Our residents and businesses continue to be affected by vandalism, theft and street disorder, and we have consistently highlighted the need for enhanced public-safety resources in our community. We value this support and will continue to work collaboratively with the province to secure the additional tools needed to help keep Prince George safe.” Said Simon Yu, mayor, Prince George.

Share

The post New police unit launched in northern B.C. to target organized crime appeared first on TV Punjab | English News Channel.