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How does stock trading AI software work?
AI technology has revolutionized the world of stock trading by utilizing machine learning algorithms and artificial intelligence. Now, we have a wide range of stock trading AI software in the market. Do you know how they work? Let us tell you how they work in simple words.
The Steps Involved
Collects Data: The first thing that an AI software does is collect important data. This step is the most crucial in the whole process. In this step AI application gathers past data and the current data to proceed further.
Analyze Data: Once the data is collected, the next step is to analyze the data. Using the algorithms, the AI bots study the market trends and recognize the patterns and the current market situation. After thorough research and investigation, it reaches a conclusion that will help to generate profits.
Decision Making: Once the data is examined, the software makes you aware of the current market situation, and the necessary parameters like top and bottom catchers, penny stocks, dark pool and order flow, and the leading stocks.in this way, it will help you make the right decision to reduce risks.
Executes Trades: If it is an automated trading AI software, then it will execute trades on its own behalf while looking at the key indicators such as top and bottom catchers, penny stock, and other crucial parameters. However, if it is simply instructional software, it will present favorable metrics in front of you to maximize your success rate and gain profit as discussed in the previous step.
This is a brief idea of how stock trading AI software works. It has changed the way people opt for trading. Not only this, a few AI software like Tradespect also educate people about trading and how to become a professional in this skill besides offering AI-driven trade ideas and intelligent trading strategies. Moreover, its discard bot is always there to assist if you have any doubts. Interested in learning more? Then visit their website and pave the way to safe and smart trading.
#stock trading AI software#AI Based Trading Platform#AI Trading Platform#AI Software for Stock Trading#AI Stock Market Trading#Best AI Trading Software
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Over the past few years, the Indian stock market has witnessed a significant transition, moving away from traditional manual trading to more advanced and efficient algorithmic trading, all thanks to the power of Artificial Intelligence (AI). This shift has been further accelerated with the advent of free AI stock trading software, which has democratised access to sophisticated trading tools that were once the exclusive domain of institutional investors. This blog post delves into the reasons behind the growing popularity of AI stock trading software among Indian retail investors and which risks they should avoid in AI-powered trading.
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Build and Automate Trading Bots with LumiWealth’s Expert Course
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#algorithmic trading course#algo trading course#stock trading bot#ai trading software#automated ai trading#ai trading algorithm#lumibot
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How AI Software is Changing the Way We Trade Stocks
Artificial Intelligence (AI) software is revolutionizing the stock trading landscape, providing investors with advanced tools and insights that were previously unimaginable. The integration of AI in trading processes enhances decision-making, improves efficiency, and adapts to market changes in real-time. This article explores how AI software for stock trading is transforming the implications for both individual investors and institutional traders.
1. Understanding AI Software in Stock Trading
Definition of AI Software: AI software refers to programs that use machine learning algorithms and advanced data analytics to make predictions, automate tasks, and enhance decision-making in trading.
Role in Trading: AI software analyzes vast amounts of market data, identifies patterns, and makes predictions about stock price movements, enabling traders to make more informed decisions.
2. Advanced Data Processing
Big Data Utilization: The stock market generates enormous volumes of data every second, including price movements, trading volumes, and economic indicators. AI software can process this big data quickly and efficiently.
Diverse Data Sources: AI software integrates various data types, including traditional financial metrics and alternative data sources such as social media sentiment, news articles, and macroeconomic trends, providing a holistic view of market conditions.
3. Predictive Analytics
Machine Learning Models: AI software employs machine learning algorithms to analyze historical data and identify trends. These models can predict future price movements based on learned patterns.
Sentiment Analysis: By analyzing news articles and social media posts, AI software can gauge public sentiment regarding specific stocks. Understanding market sentiment can provide valuable insights into potential price movements.
4. Algorithmic Trading
Automated Trading Systems: AI software enables the development of automated trading systems that can execute trades based on predefined criteria, reducing the need for human intervention.
High-Frequency Trading: AI plays a crucial role in high-frequency trading, where algorithms make thousands of trades per second. This allows traders to capitalize on small price fluctuations that human traders might miss.
5. Enhanced Decision-Making
Real-Time Analysis: AI software can analyze market conditions in real-time, providing traders with up-to-date information to inform their decisions. This capability is essential in fast-paced trading environments.
Data-Driven Insights: With AI-driven analytics, traders can access data-driven insights that enhance their decision-making processes, reducing emotional biases that can cloud judgment.
6. Risk Management
Continuous Monitoring: AI software continuously monitors market conditions and evaluates risks associated with various investments, allowing traders to make timely adjustments to their strategies.
Portfolio Optimization: AI tools can recommend optimal asset allocation based on an investor’s risk tolerance and financial goals, helping to minimize risk while maximizing returns.
7. Cost Efficiency
Reduced Trading Costs: By automating many aspects of the trading process, AI software can lower transaction costs and management fees, making trading more accessible to individual investors.
Increased Accessibility: AI-powered platforms democratize access to sophisticated trading tools, enabling retail investors to leverage advanced strategies previously available only to institutional investors.
8. Overcoming Challenges
Market Volatility: The unpredictable nature of financial markets can challenge the effectiveness of AI predictions. However, AI software can adapt to changing conditions, enhancing its resilience.
Data Quality: The success of AI in trading relies heavily on data quality. AI software must be fed accurate and comprehensive data to make reliable predictions and analyses.
Model Overfitting: AI models can sometimes become too complex and overfit historical data, leading to poor performance in real-world trading. Continuous refinement and validation are necessary to mitigate this risk.
9. The Human Element
Complementing Human Expertise: While AI software provides advanced insights and automation, human expertise remains essential. Experienced traders can interpret AI-generated data within the context of broader market trends.
Decision-Making Balance: Successful trading often requires a balance between AI-driven insights and human judgment, particularly in volatile markets where instinct and experience can play a crucial role.
10. The Future of AI in Stock Trading
Technological Advancements: As AI technology continues to evolve, we can expect more sophisticated models capable of adapting to complex market dynamics, further enhancing predictive capabilities.
Integration with Emerging Technologies: The combination of AI with blockchain and other emerging technologies could lead to more secure and transparent trading processes, fostering trust and efficiency in the market.
Ethical Considerations: As AI becomes more prevalent in trading, ethical issues surrounding data privacy, algorithmic bias, and accountability will need to be addressed to ensure fair trading practices.
Conclusion
AI software is significantly changing the way we trade stocks, offering powerful tools for data analysis, predictive modeling, and risk management. By automating processes and providing real-time insights, AI enhances decision-making and improves trading efficiency. However, challenges such as market volatility and data quality remain. The most successful traders will be those who harness the power of AI while also valuing human expertise and judgment. As we move forward, the integration of AI in stock trading promises to make investing more efficient, accessible, and informed, ultimately transforming the investment landscape for both individual and institutional traders. Embracing this technological revolution will empower investors to navigate the complexities of the market with greater confidence and success.
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#Galileo FX Reviews#Trading Software#AI#Investing#Stock Market#Share Research#Market Analysis#Trading Tips
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Following disappointing quarterly earnings results by Microsoft and Google owner Alphabet, Reuters reports that AI-related companies lost a whopping $190 billion in stock market value. Microsoft may have eked out a win, with the promise of AI services convincing investors, but even its stock dropped by 0.7 percent in extended trade, per the report. Google's parent company fared much worse, dropping 5.6 percent after missing ad revenue expectations. Meanwhile, AI chip producer AMD also got hit, despite reporting a solid quarter.
[...]
It's still too early to tell if the recent drop in stock value is related to investors becoming weak on AI. Are they spooked by the daunting costs of expanding infrastructure to keep up with a surging appetite? Data centers designed to crunch data for tools like ChatGPT, which Microsoft has integrated into its software, aren't just incredibly expensive to build — they're also extremely pricey to run. In short, has Wall Street really hit peak AI? Are we looking at a bubble that's about to burst? At the end of the day, it's all going to hinge on whether AI companies can figure out a way to make money.
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A link-clump demands a linkdump
Cometh the weekend, cometh the linkdump. My daily-ish newsletter includes a section called "Hey look at this," with three short links per day, but sometimes those links get backed up and I need to clean house. Here's the eight previous installments:
https://pluralistic.net/tag/linkdump/
The country code top level domain (ccTLD) for the Caribbean island nation of Anguilla is .ai, and that's turned into millions of dollars worth of royalties as "entrepreneurs" scramble to sprinkle some buzzword-compliant AI stuff on their businesses in the most superficial way possible:
https://arstechnica.com/information-technology/2023/08/ai-fever-turns-anguillas-ai-domain-into-a-digital-gold-mine/
All told, .ai domain royalties will account for about ten percent of the country's GDP.
It's actually kind of nice to see Anguilla finding some internet money at long last. Back in the 1990s, when I was a freelance web developer, I got hired to work on the investor website for a publicly traded internet casino based in Anguilla that was a scammy disaster in every conceivable way. The company had been conceived of by people who inherited a modestly successful chain of print-shops and decided to diversify by buying a dormant penny mining stock and relaunching it as an online casino.
But of course, online casinos were illegal nearly everywhere. Not in Anguilla – or at least, that's what the founders told us – which is why they located their servers there, despite the lack of broadband or, indeed, reliable electricity at their data-center. At a certain point, the whole thing started to whiff of a stock swindle, a pump-and-dump where they'd sell off shares in that ex-mining stock to people who knew even less about the internet than they did and skedaddle. I got out, and lost track of them, and a search for their names and business today turns up nothing so I assume that it flamed out before it could ruin any retail investors' lives.
Anguilla is a British Overseas Territory, one of those former British colonies that was drained and then given "independence" by paternalistic imperial administrators half a world away. The country's main industries are tourism and "finance" – which is to say, it's a pearl in the globe-spanning necklace of tax- and corporate-crime-havens the UK established around the world so its most vicious criminals – the hereditary aristocracy – can continue to use Britain's roads and exploit its educated workforce without paying any taxes.
This is the "finance curse," and there are tiny, struggling nations all around the world that live under it. Nick Shaxson dubbed them "Treasure Islands" in his outstanding book of the same name:
https://us.macmillan.com/books/9780230341722/treasureislands
I can't imagine that the AI bubble will last forever – anything that can't go on forever eventually stops – and when it does, those .ai domain royalties will dry up. But until then, I salute Anguilla, which has at last found the internet riches that I played a small part in bringing to it in the previous century.
The AI bubble is indeed overdue for a popping, but while the market remains gripped by irrational exuberance, there's lots of weird stuff happening around the edges. Take Inject My PDF, which embeds repeating blocks of invisible text into your resume:
https://kai-greshake.de/posts/inject-my-pdf/
The text is tuned to make resume-sorting Large Language Models identify you as the ideal candidate for the job. It'll even trick the summarizer function into spitting out text that does not appear in any human-readable form on your CV.
Embedding weird stuff into resumes is a hacker tradition. I first encountered it at the Chaos Communications Congress in 2012, when Ang Cui used it as an example in his stellar "Print Me If You Dare" talk:
https://www.youtube.com/watch?v=njVv7J2azY8
Cui figured out that one way to update the software of a printer was to embed an invisible Postscript instruction in a document that basically said, "everything after this is a firmware update." Then he came up with 100 lines of perl that he hid in documents with names like cv.pdf that would flash the printer when they ran, causing it to probe your LAN for vulnerable PCs and take them over, opening a reverse-shell to his command-and-control server in the cloud. Compromised printers would then refuse to apply future updates from their owners, but would pretend to install them and even update their version numbers to give verisimilitude to the ruse. The only way to exorcise these haunted printers was to send 'em to the landfill. Good times!
Printers are still a dumpster fire, and it's not solely about the intrinsic difficulty of computer security. After all, printer manufacturers have devoted enormous resources to hardening their products against their owners, making it progressively harder to use third-party ink. They're super perverse about it, too – they send "security updates" to your printer that update the printer's security against you – run these updates and your printer downgrades itself by refusing to use the ink you chose for it:
https://www.eff.org/deeplinks/2020/11/ink-stained-wretches-battle-soul-digital-freedom-taking-place-inside-your-printer
It's a reminder that what a monopolist thinks of as "security" isn't what you think of as security. Oftentimes, their security is antithetical to your security. That was the case with Web Environment Integrity, a plan by Google to make your phone rat you out to advertisers' servers, revealing any adblocking modifications you might have installed so that ad-serving companies could refuse to talk to you:
https://pluralistic.net/2023/08/02/self-incrimination/#wei-bai-bai
WEI is now dead, thanks to a lot of hueing and crying by people like us:
https://www.theregister.com/2023/11/02/google_abandons_web_environment_integrity/
But the dream of securing Google against its own users lives on. Youtube has embarked on an aggressive campaign of refusing to show videos to people running ad-blockers, triggering an arms-race of ad-blocker-blockers and ad-blocker-blocker-blockers:
https://www.scientificamerican.com/article/where-will-the-ad-versus-ad-blocker-arms-race-end/
The folks behind Ublock Origin are racing to keep up with Google's engineers' countermeasures, and there's a single-serving website called "Is uBlock Origin updated to the last Anti-Adblocker YouTube script?" that will give you a realtime, one-word status update:
https://drhyperion451.github.io/does-uBO-bypass-yt/
One in four web users has an ad-blocker, a stat that Doc Searls pithily summarizes as "the biggest boycott in world history":
https://doc.searls.com/2015/09/28/beyond-ad-blocking-the-biggest-boycott-in-human-history/
Zero app users have ad-blockers. That's not because ad-blocking an app is harder than ad-blocking the web – it's because reverse-engineering an app triggers liability under IP laws like Section 1201 of the Digital Millenium Copyright Act, which can put you away for 5 years for a first offense. That's what I mean when I say that "IP is anything that lets a company control its customers, critics or competitors:
https://locusmag.com/2020/09/cory-doctorow-ip/
I predicted that apps would open up all kinds of opportunities for abusive, monopolistic conduct back in 2010, and I'm experiencing a mix of sadness and smugness (I assume there's a German word for this emotion) at being so thoroughly vindicated by history:
https://memex.craphound.com/2010/04/01/why-i-wont-buy-an-ipad-and-think-you-shouldnt-either/
The more control a company can exert over its customers, the worse it will be tempted to treat them. These systems of control shift the balance of power within companies, making it harder for internal factions that defend product quality and customer interests to win against the enshittifiers:
https://pluralistic.net/2023/07/28/microincentives-and-enshittification/
The result has been a Great Enshittening, with platforms of all description shifting value from their customers and users to their shareholders, making everything palpably worse. The only bright side is that this has created the political will to do something about it, sparking a wave of bold, muscular antitrust action all over the world.
The Google antitrust case is certainly the most important corporate lawsuit of the century (so far), but Judge Amit Mehta's deference to Google's demands for secrecy has kept the case out of the headlines. I mean, Sam Bankman-Fried is a psychopathic thief, but even so, his trial does not deserve its vastly greater prominence, though, if you haven't heard yet, he's been convicted and will face decades in prison after he exhausts his appeals:
https://newsletter.mollywhite.net/p/sam-bankman-fried-guilty-on-all-charges
The secrecy around Google's trial has relaxed somewhat, and the trickle of revelations emerging from the cracks in the courthouse are fascinating. For the first time, we're able to get a concrete sense of which queries are the most lucrative for Google:
https://www.theverge.com/2023/11/1/23941766/google-antitrust-trial-search-queries-ad-money
The list comes from 2018, but it's still wild. As David Pierce writes in The Verge, the top twenty includes three iPhone-related terms, five insurance queries, and the rest are overshadowed by searches for customer service info for monopolistic services like Xfinity, Uber and Hulu.
All-in-all, we're living through a hell of a moment for piercing the corporate veil. Maybe it's the problem of maintaining secrecy within large companies, or maybe the the rampant mistreatment of even senior executives has led to more leaks and whistleblowing. Either way, we all owe a debt of gratitude to the anonymous leaker who revealed the unbelievable pettiness of former HBO president of programming Casey Bloys, who ordered his underlings to create an army of sock-puppet Twitter accounts to harass TV and movie critics who panned HBO's shows:
https://www.rollingstone.com/tv-movies/tv-movie-features/hbo-casey-bloys-secret-twitter-trolls-tv-critics-leaked-texts-lawsuit-the-idol-1234867722/
These trolling attempts were pathetic, even by the standards of thick-fingered corporate execs. Like, accusing critics who panned the shitty-ass Perry Mason reboot of disrespecting veterans because the fictional Mason's back-story had him storming the beach on D-Day.
The pushback against corporate bullying is everywhere, and of course, the vanguard is the labor movement. Did you hear that the UAW won their strike against the auto-makers, scoring raises for all workers based on the increases in the companies' CEO pay? The UAW isn't done, either! Their incredible new leader, Shawn Fain, has called for a general strike in 2028:
https://www.404media.co/uaw-calls-on-workers-to-line-up-massive-general-strike-for-2028-to-defeat-billionaire-class/
The massive victory for unionized auto-workers has thrown a spotlight on the terrible working conditions and pay for workers at Tesla, a criminal company that has no compunctions about violating labor law to prevent its workers from exercising their legal rights. Over in Sweden, union workers are teaching Tesla a lesson. After the company tried its illegal union-busting playbook on Tesla service centers, the unionized dock-workers issued an ultimatum: respect your workers or face a blockade at Sweden's ports that would block any Tesla from being unloaded into the EU's fifth largest Tesla market:
https://www.wired.com/story/tesla-sweden-strike/
Of course, the real solution to Teslas – and every other kind of car – is to redesign our cities for public transit, walking and cycling, making cars the exception for deliveries, accessibility and other necessities. Transitioning to EVs will make a big dent in the climate emergency, but it won't make our streets any safer – and they keep getting deadlier.
Last summer, my dear old pal Ted Kulczycky got in touch with me to tell me that Talking Heads were going to be all present in public for the first time since the band's breakup, as part of the debut of the newly remastered print of Stop Making Sense, the greatest concert movie of all time. Even better, the show would be in Toronto, my hometown, where Ted and I went to high-school together, at TIFF.
Ted is the only person I know who is more obsessed with Talking Heads than I am, and he started working on tickets for the show while I starting pricing plane tickets. And then, the unthinkable happened: Ted's wife, Serah, got in touch to say that Ted had been run over by a car while getting off of a streetcar, that he was severely injured, and would require multiple surgeries.
But this was Ted, so of course he was still planning to see the show. And he did, getting a day-pass from the hospital and showing up looking like someone from a Kids In The Hall sketch who'd been made up to look like someone who'd been run over by a car:
https://www.flickr.com/photos/doctorow/53182440282/
In his Globe and Mail article about Ted's experience, Brad Wheeler describes how the whole hospital rallied around Ted to make it possible for him to get to the movie:
https://www.theglobeandmail.com/arts/music/article-how-a-talking-heads-superfan-found-healing-with-the-concert-film-stop/
He also mentions that Ted is working on a book and podcast about Stop Making Sense. I visited Ted in the hospital the day after the gig and we talked about the book and it sounds amazing. Also? The movie was incredible. See it in Imax.
That heartwarming tale of healing through big suits is a pretty good place to wrap up this linkdump, but I want to call your attention to just one more thing before I go: Robin Sloan's Snarkmarket piece about blogging and "stock and flow":
https://snarkmarket.com/2010/4890/
Sloan makes the excellent case that for writers, having a "flow" of short, quick posts builds the audience for a "stock" of longer, more synthetic pieces like books. This has certainly been my experience, but I think it's only part of the story – there are good, non-mercenary reasons for writers to do a lot of "flow." As I wrote in my 2021 essay, "The Memex Method," turning your commonplace book into a database – AKA "blogging" – makes you write better notes to yourself because you know others will see them:
https://pluralistic.net/2021/05/09/the-memex-method/
This, in turn, creates a supersaturated, subconscious solution of fragments that are just waiting to nucleate and crystallize into full-blown novels and nonfiction books and other "stock." That's how I came out of lockdown with nine new books. The next one is The Lost Cause, a hopepunk science fiction novel about the climate whose early fans include Naomi Klein, Rebecca Solnit, Bill McKibben and Kim Stanley Robinson. It's out on November 14:
https://us.macmillan.com/books/9781250865939/the-lost-cause
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2023/11/05/variegated/#nein
#pluralistic#hbo#astroturfing#sweden#labor#unions#tesla#adblock#ublock#youtube#prompt injection#publishing#robin sloan#linkdumps#linkdump#ai#tlds#anguilla#finance curse#ted Kulczycky#toronto#stop making sense#talking heads
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Broadcom's AI surge challenges Nvidia's dominance
New Post has been published on https://thedigitalinsider.com/broadcoms-ai-surge-challenges-nvidias-dominance/
Broadcom's AI surge challenges Nvidia's dominance
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Riding the AI wave, semiconductor giant Broadcom has joined the stampede of companies chasing Nvidia for a piece of the lucrative AI chip market. The computing and software conglomerate is up more than 66% in the past year, as it makes power moves to establish itself as one of the most dominant players in AI today. Broadcom has been making aggressive moves that have piqued the interest of analysts and investors, from buying VMware in a $61 billion deal to strengthen its data centre and cloud chops, to investments in AI chip R&D.
Central to Broadcom’s AI aspirations now is its fast-growing AI-connected chip business, which the company said it now forecasts will bring in an astounding $11 billion in revenue for fiscal 2024, up from a previous forecast of $10 billion. Combined with a 15% jump in Broadcom Inc shares recently, the upward revision reinforces the strong appetite for chips driving the rise of generative AI.
Morningstar analysts agreed in a note to Reuters that Broadcom remains “we continue to see Broadcom as incredibly well-positioned to benefit from rising generative AI investment in the long term,” — a view widely held on Wall Street. A second explanation for the upswing in AI for Broadcom is essentially through buying or investing very well over the years.
They come as one of three planned spinoffs in Dell’s drive to become a full-fledged cloud computing firm with the $61 billion acquisition of VMware next year, which also added $50 billion to its market capitalisation, per FactSet data. In addition, Broadcom has been ramping up its own custom AI chip business, inking deals with tech giants including Alphabet’s Google and Meta Platforms.
In March, the company revealed that a third unidentified customer was using its custom AI chips, which gave its business credibility in this high-stakes industry. According to Reuters, “At an investor conference on Wednesday, Broadcom said it will produce the new custom AI chips for ‘hyperscaler’ buyers that are mostly Alphabet’s Google and Meta Platforms.”
Diversified revenue streams and investor optimism
Broadcom’s software division, bolstered by the VMware acquisition, added $2.7 billion to its second-quarter revenue, further diversifying the company’s revenue streams and positioning it as a formidable force in the AI ecosystem. The company’s stock performance reflects this optimism, with shares surging 76% over the past 12 months and closing at a staggering $1,495.5 on Wednesday.
Broadcom’s recent announcement of a 10-for-1 stock split, a move reminiscent of Nvidia’s strategy, is expected to further fuel investor enthusiasm. “It’s a sure-fire way to send your stock soaring,” Triple D Trading analyst Dennis Dick told Reuters, commenting on the stock split, adding that the move was “right out of Nvidia’s book.”
Nvidia’s dominance and competitive pressure
Broadcom is progressing, but Nvidia is still the leader in this space. For years, Nvidia has benefited from the first-mover advantage of producing AI chips that cater to a long tail of applications while favoring innovation over turning in big volume. While that balance appears to be in flux, Broadcom’s recent wins shed light on how the writing may be on the wall for a boom in AI now benefiting more than just one company.
This new contender has even forced Nvidia’s CEO Jensen Huang to admit that ‘a resurgent Broadcom (and other start-ups) have planners at Nvidia nervous. Huang, for his part, stressed how the company must continue to innovate to ensure that it remains ahead of its peers. Nevertheless, competition has yet to make a dent on Nvidia’s enviable lead in the AI chip market as the company busily cranks out its top-performing AI tech.
Broadcom vs Nvidia: The battle for AI chip supremacy
Unlike Nvidia’s graphics processing units which have long dominated the industry, Broadcom’s custom AI chips – or application-specific integrated circuits – might offer a great business opportunity for tech giants with massive and steady-state AI workloads. These bespoke chips require considerable initial capital investment but they can offer large cost savings in both CapEx and power consumption, which sets them up as a more cost-effective (if less general purpose) option to Nvidia’s.
Also bullish on Broadcom is Piper Sandler analyst Harsh Kumar, who writes, “We continue to see [Broadcom] as the best AI play [excluding Nvidia] due to its strong positioning in the custom ASIC business along with its strong software portfolio.”
Broadcom’s multi-pronged strategy of pumping cash into buyouts, offering bespoke chips and expanding into a software business has established it as a strong rival, as the AI revolution shows few signs of abating. Nvidia is still the undisputed leader in the industry, but Broadcom’s bold AI play here was enough to light a fire under investors and analysts both, sowing the seeds of what could become an epic showdown in the market for AI chips.
(Photo by Kenny Eliason)
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Tags: ai, artificial intelligence, broadcom, Nvidia
#2024#ai#ai & big data expo#AI chip#AI chips#amp#applications#Art#artificial#Artificial Intelligence#automation#Big Data#billion#book#broadcom#Business#CEO#chips#Cloud#cloud computing#Companies#competition#comprehensive#computing#conference#cost savings#Custom AI Chip#cyber#cyber security#data
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Larry Savage Birmingham About Logistics Challenges And How To Overcome Them
Logistics managers are now more aware of the need to obtain vital information instantly due to the pandemic. Additionally, it encouraged warehouse managers to be proactive in mitigating risks related to supply and demand. Today, machine learning software that analyzes real-time data can help prevent both overstock and out-of-stock. This is similar to IoT sensors assisting transportation businesses in tracking goods throughout the route. So, to learn more, read Larry Savage Jr Birmingham – Challenges That Necessitate The Need For An Organized Logistics Industry to level up your business performance.
Strengthen communication at all levels
A vital component of surviving in business is anticipating logistical obstacles and knowing how to overcome them. You should include improving communication with the participants in your global supply chain in your planning. You might even wish to create connections with far-off logistical companies to increase your marketing reach if your company is local. In order to stay informed about the state of the resources supporting your products and market, it's critical to keep in constant contact with your suppliers.
Establish standards for suppliers and partners
If businesses follow different standards, it could confuse some of them when arranging many deliveries daily with several supply chain managers. Logistics operations are considerably more streamlined and coherent when every service follows the same loading and unloading procedures. Supply chain visibility can also be maximized for all participants in this coordination through smart technology and interconnected electronic networks.
Invest in the right technology
Companies today are also overspending on the latest software and hardware developments due to the quick changes in business technology. Spending less on technology to achieve maximum efficiency is now possible if you use cloud technologies.
If your business is operating on a tight budget, cloud services offer the most economical options. A warehouse might think about collaborating with logistics industry specialists if it needs additional flexibility, scalability, or experience.
Using third-party logistics providers to carry goods to markets is one way for businesses that can't afford to invest in creating a logistics service that makes use of automation, robots, and artificial intelligence.
Reduce warehouse management errors
An infrastructure's likelihood of errors decreases as it becomes more digital through automation or improved access to pertinent real-time data.
Adopting warehouse management software with integrations to new and innovative technologies like 5G, AI, and IoT has become crucial in this century. You can use these technologies to gather and archive important logistics data.
Proper placement of warehouse inventory products is also crucial to avoid a cascade of disruptions.
Then, to prepare items for delivery, they must be carefully chosen and packed. Incomplete orders and incorrect delivery information are two common order fulfillment mistakes that still happen. Warehouse managers can effectively decrease these errors by using more vigilant supervision and enhanced picking and packing confirmation protocols.
Final thoughts
In the future, meeting customer needs will be the hardest task for the logistics industry. So, improving warehouse structure and layout by analyzing logistics will help you. Lastly, don’t read Larry Savage Birmingham — Know About The Basics Of Stock Options Trading to keep your fortunes thriving.
#Larry Savage Birmingham#Logistics Challenges#Logistics Expert#Logistics Industry#business owner#business ideas#business strategy
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Over the past few years, the Indian stock market has witnessed a significant transition, moving away from traditional manual trading to more advanced and efficient algorithmic trading, all thanks to the power of Artificial Intelligence (AI). This shift has been further accelerated with the advent of free AI stock trading software, which has democratised access to sophisticated trading tools that were once the exclusive domain of institutional investors. This blog post delves into the reasons behind the growing popularity of AI stock trading software among Indian retail investors and which risks they should avoid in AI-powered trading.
#algorithmic trading#free AI stock trading software#Artificial intelligence trading software#No-code algo trading platforms#AI trading software
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Python Option Trading Made Easy: Learn to Build and Automate Strategies with LumiWealth
Dive into Python option trading with LumiWealth and transform your trading approach. Our educational resources guide you through the process of using Python to design, test, and execute sophisticated options trading strategies. Discover how to integrate machine learning and automation to enhance your trading decisions and boost your profitability. With LumiWealth, you gain access to the tools and knowledge needed to excel in the dynamic field of Python-based option trading.
#algorithmic trading course#algo trading course#stock trading bot#ai trading software#ai trading algorithm
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Understanding the Role of AI in Stock Trading
In recent years, the financial landscape has witnessed a trans formative shift, thanks to the rapid advancement of artificial intelligence (AI) in stock trading. AI technologies, including machine learning and algorithmic trading software, are reshaping how investors and traders navigate the complex world of stock markets.
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How robots, artificial intelligence, and machine learning will affect employment
Industrial robots, artificial intelligence, and machine learning are examples of emerging technologies that are developing quickly, but their effects on employment and public policy have received little notice.Emerging technologies may increase the availability, cost, and speed of products and services, but they also have the potential to displace a significant portion of the labor force.
Read this article of Sachin Dev Duggal to know more about the AI . The conventional benefits model, which links health insurance and retirement savings to jobs, is put to the test by this prospect. We must consider how to provide benefits to displaced employees in an economy with significantly fewer jobs.
The business is already noticing the effects of automation technologies.Over the past few years, there have been a lot more industrial robots installed around the globe.Robotic employees are now cost-competitive with human workers thanks to robots' declining prices and their ability to work nonstop for an entire day.
In the service industry, computer algorithms can carry out stock trades much more quickly than any person could. These technologies will find even more uses in an economy as they become more accessible, affordable, and competent.
Read this article : https://www.aninews.in/news/business/business/sachin-dev-duggal-changed-the-idea-of-software-development-with-builderai20230209153027/
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What is the Stock Market & How Does It Work in 2025?
With each passing year, the stock market grows in importance for individual and institutional investors alike. The Index and Stock Trading Academy recognizes that understanding the stock market is essential for anyone looking to achieve financial freedom. But what exactly is the stock market, and how does it operate in the dynamic economy of 2025?
Target Audience
Who Is This Blog For?
This guide is aimed at:
⦁ Beginners: Those entirely new to the world of stock market trading.
⦁ Intermediate Traders: Those with some knowledge of the share market who want to understand modern strategies for 2025.
⦁ Young Professionals & Investors in Major Cities: Especially in Pune, Delhi, Mumbai, Bangalore, Hyderabad, Chennai, and Kolkata, seeking to learn how the stock market works and build a stronger financial future.
⦁ Students: Those looking to gain stock trading knowledge to supplement their academic studies.
Purpose/Goal
The aim of this blog is to provide a clear understanding of how the Indian stock market operates and its relevance in 2025. By exploring stock market fundamentals and current trading dynamics, readers will gain insight into how they can start trading or investing and the role of Index and Stock Trading Academy in guiding beginners through stock trading courses and options trading strategies.
Blog Structure
Introduction: Why Understanding the Stock Market Matters in 2025
The stock market is more than just numbers and data — it’s a platform for wealth creation, capital allocation, and economic growth. Whether you’re a seasoned investor or a curious beginner, understanding how the stock market works in today’s fast-paced world can open doors to financial independence. The Index and Stock Trading Academy offers comprehensive courses to teach you how the stock market operates and how to leverage it for your financial benefit.
Target Audience: Who Should Learn About the Stock Market?
The stock market is relevant to anyone looking to grow their wealth or build a diversified financial portfolio. With rising interest in stock market trading across India, understanding how the market works has never been more valuable.
This blog is ideal for:
⦁ Beginners: Those new to stock market terminology and concepts.
⦁ Casual Investors: Individuals familiar with the share market but wanting to build deeper knowledge.
⦁ Young Investors in Major Cities: People in urban hubs like Delhi, Mumbai, Bangalore, Hyderabad, and Pune interested in wealth-building through trading.
⦁ Students & Young Professionals: Looking to add financial literacy to their skill set for personal and professional growth.
What is the Stock Market?
The stock market is a marketplace where shares of publicly traded companies are bought and sold. It plays a crucial role in the economy by helping businesses access capital and giving investors a chance to earn returns on their investments. But in 2025, the stock market is more complex and dynamic than ever, incorporating digital advancements like AI-powered trading algorithms and digital assets.
How the Stock Market Works in 2025
1. The Basics of Buying and Selling Shares
⦁ Stock Exchanges: The Bombay Stock Exchange (BSE) and National Stock Exchange (NSE) are the primary exchanges in India where shares are traded.
⦁ Trading Mechanisms: The stock market operates through a system of bids and asks, allowing traders to buy or sell shares based on current market prices.
⦁ Tools and Platforms: With advancements in trading software, tools like real-time data analysis and trading alerts have become essential for traders. The Index and Stock Trading Academy courses cover these tools, helping you navigate the market with confidence.
2. Current Trends in Stock Market Trading (2025)
⦁ AI and Machine Learning in Trading: Algorithms analyze vast amounts of data to predict trends and assist traders in making faster, more informed decisions.
⦁ Options Trading and Diversified Investment: Options trading is increasingly popular for those looking to hedge investments and maximize returns with limited capital.
⦁ Increased Interest in Sustainable and ESG Investing: Investors are focusing on companies that prioritize environmental, social, and governance (ESG) factors, balancing profits with positive social impact.
3. Types of Investors and Traders
⦁ Retail Investors: Everyday investors who buy and sell stocks through trading accounts.
⦁ Institutional Investors: These are larger entities like banks and hedge funds with considerable capital and sophisticated strategies.
⦁ Day Traders & Long-Term Investors: Day traders capitalize on short-term market movements, while long-term investors focus on the growth potential of companies.
4. Learning Resources and Courses
⦁ Stock Market Courses by Index and Stock Trading Academy: With dedicated courses for each experience level, from beginners to advanced traders, the Academy provides a structured path to understanding stock market dynamics.
⦁ Online Trading Platforms: Platforms like Zerodha and Upstox provide a practical means of implementing learned strategies.
⦁ Options Trading Courses: For those interested in high-reward strategies, options trading courses dive deep into the techniques necessary for success in a volatile market.
5. Cities in India Offering In-Person and Online Training
⦁ Major cities like Delhi, Mumbai, Bangalore, Hyderabad, Chennai, and Pune are hubs for in-person stock market courses, often featuring workshops, seminars, and boot camps.
⦁ Online Options: Index and Stock Trading Academy offers online courses accessible from any location in India, allowing flexibility and convenience.
Conclusion: Start Your Journey with the Index and Stock Trading Academy
Understanding how the stock market works and learning to invest wisely can have a transformative effect on your financial future. Whether you’re new to the market or have some experience, Index and Stock Trading Academy offers the tools and knowledge needed to succeed in stock trading.
Style and Tone
This blog employs a conversational yet professional tone, making complex concepts accessible without sacrificing depth. Data-driven and structured, the blog is tailored for readers curious about real-world applications of stock market knowledge.
Call-to-Action: Begin Your Trading Journey
Ready to learn more about the stock market and boost your trading skills? Contact Index and Stock Trading Academy today to enroll in our courses or schedule a free consultation. Follow us on social media for market insights, course updates, and start taking control of your financial future.
#Stock market courses#Stock trading courses#Indian stock market#Stock market trading#Share market trading#Learn stock market basics
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Nasdaq sharply lower, oil spikes ahead of NFP
US stocks ended lower on Thursday as tech issues took a hammering following warnings from Meta Platforms and Microsoft about rising AI costs with their earnings which were released after-hours on Wednesday.
The mood was also cautious ahead of more mega-cap tech earnings from Apple, down 1.8%, and Amazon, off 3.4%, posted after the Thursday close.
In the event, Apple reported record third quarter revenue but saw a decline in net income, with its shares falling 1.9% in after-hours trade. But Amazon jumped 5.6% after-hours as its numbers beat market expectations.
And chipmaker Intel, having fallen 3.5% during the session, leapt 15% higher in after-hours trading following its results, with investors excited by an improved outlook.
At the closing bell in New York, the blue-chip Dow Jones Industrial Average was 0.9% lower at 41,763, while the broader S&P 500 shed 1.9% to 5,705, losing all its monthly gains, and the tech-laden Nasdaq Composite dropped 2.8% to 18,295
NAS100 H4
Putting on the pressure, Facebook and Instagram owner Meta fell 4.1% and software giant Microsoft dropped 6.5% on the AI concerns, even as both saw their earnings for the third quarter beat expectations.
Among other results on Thursday, eBay fell 8.1% after the eCommerce firm reported disappointing guidance for the crucial holiday shopping season.
Robinhood slumped 16.7% after the trading platform reported that its third-quarter earnings missed expectations, although crypto trading volume and revenue doubled year-on-year.
Uber Technologies fell 9.3% after the ride-hailing firm’s gross bookings grew at its slowest pace in over a year, even as it edged past quarterly profit estimates.
And Estee Lauder slumped 20.9% after the cosmetics giant reported a revenue miss and withdrew its fiscal 2025 outlook amid ongoing challenges in China and travel retail.
But Comcast rose 3.4% after the NBC owner reported higher quarterly sales and said it may spin off its cable networks.
US economic data released on Thursday showed that the personal consumer expenditures (PCE) index - a key inflation metric closely monitored by the Federal Reserve - slowed to an annualised growth rate of 2.1% in September, in-line with economists’ expectations, down from an upwardly revised reading of 2.3% in August. Meanwhile, the core PCE metric came in at 2.7% annually, above expectations of 2.6% but equaling August's growth.
Elsewhere, as traders await Friday’s September non-farm payrolls report, the latest weekly jobless claims dipped to 216,000, down from 228,000 in the prior week.
Meanwhile, US employers announced 55,597 job cuts in October, according to the latest Challenger survey, down from September's reading of 72,821 but markedly higher than 36,836 at the same time a year earlier.
Finally, the Chicago Fed's purchasing managers index sank to 41.6 in October, according to the Institute of Supply Management, down from 46.6 in September and well short of expectations for a reading of 47.0.
The key figures all come with Federal Reserve officials set to meet next week to contemplate their next policy decision having moved to cut borrowing costs by a bigger than expected 50 basis points in September. The latest interest rate decision comes on Wednesday, November 7, just two days after the too-close-to-call US Presidential election.
On the commodities front, oil prices rose on Thursday, extending a rally made in the previous session due to stronger than expected US fuel demand and reports that OPEC+ could delay a planned output increase.
USOIL H1
US gasoline stockpiles fell by more than expected to a two-year low in the week ending October 25, according to the Energy Information Administration, while crude inventories registered a surprise drawdown as imports slipped.
US WTI crude rose 2.8% to $70.53 a barrel, while UK Brent crude gained 2.5% to $74.02 a barrel.
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