#copy trading software development

[plurancetechnologies]

10 Best Crypto Copy Trading Platform in 2025

Searching for the top cryptocurrency copy trading platforms? Here's a 2025 guide to the top 10 cryptocurrency copy trading platforms based on user volume and trading methods.

What is crypto copy trading?

Crypto copy trading is an investment method in which traders mimic experienced or professional traders' trades on a cryptocurrency trading platform. It enables new or inexperienced investors to participate in the cryptocurrency market by automatically imitating the activities of seasoned traders.

Features of Crypto Copy Trading

Automated Trading

Trader Selection

Real-Time Tracking

Risk Management Tools

Customizable Investment

Multi-Strategy Options

Diversification

Transparent Performance

And more

Top Crypto Copy Trading Website on User Count

Bitget

A user-friendly platform known for high performance and strong liquidity, supporting a wide range of cryptocurrencies including popular cryptos like Bitcoin, Ethereum, BNB, USDT and more 

Users: 8+ million globally.

Trading Volume: $12 billion+ monthly.

Key Features:

Real-time trade execution.

Advanced risk management (e.g., stop-loss and take-profit).

Multilingual support for worldwide traders.

Deep liquidity allows for smooth trading.

Benefits:

Beginner-friendly interface.

High-performing trader profiles for users to follow.

Binance

Binance is well-known for its diverse array of digital assets and strong liquidity, as well as its highly user-friendly interface, making it ideal for real-time strategy imitation.

There are more than 150 million users.

Trading volume exceeds $65 billion each day.

Key features:

High liquidity across hundreds of trading pairings.

Detailed analytics for trader evaluations.

Integration with Binance Earn provides passive income opportunities.

Benefits:

The most diverse variety of cryptocurrency.

Industry-leading security protocols.

eToro

eToro, a pioneer in social trading, offers a user-friendly interface with extensive performance analytics, making it ideal for newbies looking to emulate experienced traders.

There are more than 30 million users.

Trading volume averages $1.5 billion each day.

Key features 

Detailed trader performance statistics.

Social feed for trader engagement.

Integrated with both cryptocurrency and traditional assets.

Benefits

Intuitive UI makes it ideal for novices.

Diverse portfolio possibilities include a variety of asset categories.

Bybit

Bybit is well-known for its user-friendly interface and extensive list of traders to copy. It also provides adjustable preferences and fund allocation choices.

There are more than 10 million users.

Trading volume exceeds $12 billion each day.

Key features 

Adjustable copy trading preferences.

Demo accounts are ideal for beginners.

Multi-currency support at competitive rates.

Benefits

Access to expert traders with proven track histories.

Quick onboarding and platform setup.

Phemex

A prominent cryptocurrency and derivatives exchange that provides extensive copy trading capabilities, adaptable copy order conditions, and thorough performance information to traders. 

There are more than 1.5 million users.

Trading volume: $3 billion every month.

Key Features

Margin trading and copy trading are included.

Performance tracking using rank-based leaderboards.

Provides trading in cryptocurrency, FX, and commodities.

Advantages

Advanced traders can use high leverage options.

Secure platform with two-factor authentication.

PrimeXBT

PrimeXBT combines social trading with cryptocurrency exchange services, providing margin trading, cheap fees, and a demo account for practice. 

There are more than 5 million users.

Trading volume averages $1.5 billion each day.

Key features

Flexible profit-sharing options for traders and followers.

Transparent trader statistics and real-time replication.

Free demo accounts for strategy testing.

Benefits

A community-driven platform for social commerce.

Supports both futures and spot trading.

BingX

BingX, a new cryptocurrency exchange with a simple and flexible copy trading feature, encourages an active social trading community and offers demo accounts for practice.

There are more than 20 million users.

Trading volume averages $11 billion each day.

Key features

high-frequency trading support.

Integrated instructional materials for traders.

Multi-device support (web and mobile).

Benefits

Emphasis on user education and skill development.

Incentives for active traders and followers.

WunderTrading

A social trading platform which values community engagement while also providing access to professional information and automated trading tools.

There are more than one million users.

Trading volume exceeds $500 million every month.

Key features

Automated trading bots with copy trading options.

Access to trader success data and analytics.

Advanced trading strategy customisation.

Benefits

Suitable for both novice and advanced users.

Concentrate on community collaboration and learning.

OKX

A well-known exchange that provides a variety of trading options, including copy trading, has a user-friendly interface and supports many cryptocurrencies.

Globally, there are more than 20 million users.

Trading volume averages $11 billion each day.

Key features:

Diverse Strategies: Provides high-frequency, scalping, and swing trading alternatives.

Performance Metrics: Real-time statistics on trader profitability and risk levels.

Multi-Device Compatibility: Works with mobile, desktop, and web applications.

Benefits

transparent trader analytics for followers.

Activity-based rewards are provided to both traders and followers.

Advanced security features include multi-layer encryption.

3Commas

A platform that provides advanced trading bots and copy trading tools, allowing users to replicate successful traders and automate their trading techniques.

There are more than 700,000 users.

Trading volume: $150 million or more per month.

Key features

Smart trading bots for automated tactics.

Tools for keeping track of your portfolio are comprehensive.

Integration with leading cryptocurrency exchanges.

Advantages

Highly adjustable bot strategies.

Real-time analytics enable informed decision-making.

Final Thoughts

The cryptocurrency market appears to be bullish, and these patterns will influence how traders approach crypto copy trading. The current trends, like as huge transaction volumes, cross-chain interoperability, and AI, will add a new dimension to crypto copy trade.  Entrepreneurs who have chosen to invest in crypto copy trading platforms will experience tremendous growth in the coming year. Businesses wishing to diversify their crypto investment can contact Plurance, a well-known crypto copy trading software development company that provides comprehensive crypto solutions. We provide scalable white-label crypto copy trading solutions based on tried-and-true trading techniques. Collaborate with us to dominate the crypto sector.

[stevblog]

Enhance Your Profit Potential with Cutting Edge Crypto Copy Trading Software

In recent years, the popularity of cryptocurrencies has skyrocketed, attracting a multitude of investors and traders eager to capitalize on the volatile nature of digital assets. One innovative method that has gained traction among crypto enthusiasts is copy trading. Copy trading platforms allow users to replicate the trades of successful traders, enabling even novice investors to benefit from the expertise and strategies of seasoned professionals. In this article, we will explore how to generate revenue by utilizing a crypto copy trading platform.

What is Crypto Copy Trading Platform?

Crypto copy trading software, also known as copy trading platforms or social trading platforms, is a type of software that allows users to automatically replicate the trades of successful traders in the cryptocurrency market. It enables less experienced traders to benefit from the strategies and expertise of more seasoned and successful traders by automatically copying their trades in real-time. These platforms provide a user-friendly interface that allows traders to browse and select from a pool of professional traders who have made their trading strategies and performance metrics publicly available.

Crypto Copy Trading Software Development:

copy trading software development involves designing a user-friendly platform, integrating with cryptocurrency exchanges, implementing trade replication algorithms, incorporating risk management tools, providing performance analytics, ensuring security and compliance, and offering continuous support and updates. The development process requires expertise in trading technology, blockchain, and user experience design to create a reliable, efficient, and user-friendly copy trading platform.

How to Generate Revenue by Using a Crypto Copy Trading Platform?

Choosing the Right Copy Trading Platform:

The first step in generating revenue through copy trading is selecting a reliable and reputable platform. Conduct thorough research to find a platform that offers a wide range of cryptocurrencies, a transparent and user-friendly interface, and a community of experienced traders to follow. Look for platforms that prioritize security, have a solid track record, and provide features such as risk management tools, real-time notifications, and customizable settings.

Selecting Successful Traders to Follow:

Once you have chosen a copy trading platform, the next step is identifying successful traders to emulate. Evaluate the performance of different traders based on their historical trades, risk management strategies, average returns, and overall consistency. Look for traders who have demonstrated a track record of generating positive returns over a significant period. It is important to note that past performance does not guarantee future success, so diversifying your copy trading portfolio by following multiple traders is advisable.

Risk Management and Diversification:

To generate consistent revenue using a copy trading platform, it is crucial to employ effective risk management techniques and diversify your investments. Copy trading platforms often provide tools to control risk, such as setting stop-loss orders or limiting the amount of capital allocated to each trader. By diversifying your portfolio across various traders and cryptocurrencies, you can mitigate the impact of potential losses and increase your chances of generating steady revenue.

Continuous Monitoring and Adjustments:

While copy trading allows you to automate your trading activities, it is essential to regularly monitor your portfolio and make necessary adjustments. Keep a close eye on the performance of the traders you are copying and be prepared to make changes if their strategies become less effective or their performance starts to decline. Stay updated with market trends, news, and developments to make informed decisions and adjust your portfolio accordingly.

Education and Learning:

To maximize your revenue potential, it is crucial to continually educate yourself about cryptocurrencies and trading strategies. Learn about technical analysis, fundamental analysis, and market trends to gain a deeper understanding of the factors that drive crypto prices. Stay connected with the trading community, participate in forums, and seek insights from experienced traders. The more you learn, the better equipped you will be to make informed decisions and potentially identify profitable opportunities on your own.

Why Hivelance is the right Choice for develop Your Crypto Copy Trading Software?

When it comes to developing a crypto copy trading software, Hivelance stands out as an exceptional choice for several reasons. Hivelance possesses extensive expertise in the field of cryptocurrencies and trading technology. Their team comprises experienced developers who are well-versed in blockchain technology, cryptocurrency exchanges, and trading algorithms. This deep understanding ensures that your copy trading software will be built with a solid foundation and equipped with the necessary features to succeed in the crypto market. Hivelance recognizes that each client may have unique requirements and preferences for their copy trading software. They offer a high degree of customizability and flexibility, allowing you to tailor the software to your specific needs.

[mostlysignssomeportents]

Canada sues Google

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/2024/12/03/clementsy/#can-tech

For a country obsessed with defining itself as "not America," Canada sure likes to copy US policies, especially the really, really terrible policies – especially the really, really, really terrible digital policies.

In Canada's defense: these terrible US policies are high priority for the US Trade Representative, who leans on Canadian lawmakers to ensure that any time America decides to collectively jump off the Empire State Building, Canadian politicians throw us all off the CN Tower. And to Canada's enduring shame, the USTR never has to look very hard to find a lickspittle who's happy to sell Canadians out.

Take anti-circumvention. In 1998, Bill Clinton signed the Digital Millennium Copyright Act, a gnarly hairball of copyright law whose Section 1201 bans reverse-engineering for any purpose. Under DMCA 1201, "access controls" for copyrighted works are elevated to sacred status, and it's a felony (punishable by a five-year prison sentence and a $500k fine) to help someone bypass these access controls.

That's pretty esoteric, even today, and in 1998, it was nearly incomprehensible, except to a small group of extremely alarmed experts who ran around trying to explain to lawmakers why they should not vote for this thing. But by the time Tony Clement and James Moore (Conservative ministers in the Harper regime) introduced a law to import America's stupidest tech idea and paste it into Canada's lawbooks in 2012, the evidence against anti-circumvention was plain for anyone to see.

Under America's anti-circumvention law, any company that added an "access control" to its products instantly felonised any modification to that product. For example, it's not illegal to refill an ink cartridge, but it is illegal to bypass the access control that gets the cartridge to recognise that it's full and start working again. It's not illegal for a Canadian software developer to sell a Canadian Iphone owner an app without cutting Apple in for a 30% of the sale, but it is illegal to mod that Iphone so that it can run apps without downloading them from the App Store first. It's not illegal for a Canadian mechanic to fix a Canadian's car, but it is illegal for that mechanic to bypass the access controls that prevent third-party mechanics from decrypting the error codes the car generates.

We told Clement and Moore about this, and they ignored us. Literally: when they consulted on their proposal in 2010, we filed 6,138 comments explaining why this was a bad idea, while only 53 parties wrote in to support it. Moore publicly announced that he was discarding the objections, on the grounds that they had come from "babyish" "radical extremists":

https://www.cbc.ca/news/science/copyright-debate-turns-ugly-1.898216

For more than a decade, we've had Clement and Moore's Made-in-America law tied to our ankles. Even when Canada copies some good ideas from the US (by passing a Right to Repair law), or even some very good ideas of its own (passing an interoperability law), Canadians can't use those new rights without risking prosecution under Clement and Moore's poisoned gift to the nation:

https://pluralistic.net/2024/11/15/radical-extremists/#sex-pest

"Not America" is a pretty thin basis for a political identity anyway. There's nothing wrong with copying America's good ideas (like Right to Repair). Indeed, when it comes to tech regulation, the US has had some bangers lately, like prosecuting US tech giants for violating competition law. Given that Canada overhauled its competition law this year, the country's well-poised to tackle America's tech giants.

Which is exactly what's happening! Canada's Competition Bureau just filed a lawsuit against Google over its ad-tech monopoly, which isn't merely a big old Privacy Chernobyl, but is also a massively fraudulent enterprise that rips off both advertisers and publishers:

https://www.reuters.com/technology/canadas-antitrust-watchdog-sues-google-alleging-anti-competitive-conduct-2024-11-28/

The ad-tech industry scoops up about 51 cents out of every dollar (in the pre-digital advertising world the net take by ad agencies was more like 15%). Fucking up Google's ad-tech rip off is a much better way to Canada's press paid than the link tax the country instituted in 2023:

https://www.eff.org/deeplinks/2023/05/save-news-we-must-ban-surveillance-advertising

After all, what tech steals from the news isn't content (helping people find the news and giving them a forum to discuss it is good) – tech steals news's money. Ad-tech is a giant ripoff. So is the app tax – the 30% Canadian newspapers have to kick up to the Google and Apple crime families every time a subscriber renews their subscriptions in an app. Using Canadian law to force tech to stop stealing the press's money is a way better policy than forcing tech to profit-share with the news. For tech to profit-share with the news, it has to be profitable, meaning that a profit-sharing press benefits from tech's most rapacious and extractive conduct, and rather than serving as watchdogs, they're at risk of being cheerleaders.

Smashing tech power is a better policy than forcing tech to share its stolen loot with newspapers. For one thing, it gets government out of the business of deciding what is and isn't a legit news entity. Maybe you're OK with Trudeau making that call (though I'm not), but how will you feel when PM Polievre decides that Great Replacement-pushing, conspiracy-addled far right rags should receive a subsidy?

Taking on Google is a slam-dunk, not least because the US DoJ just got through prosecuting the exact same case, meaning that Canadian competition enforcers can do some good copying of their American counterparts – like, copying the exhibits, confidential memos, and successful arguments the DoJ brought before the court:

https://www.justice.gov/opa/pr/justice-department-sues-google-monopolizing-digital-advertising-technologies

Indeed, this already a winning formula! Because Big Tech commits the same crimes in every jurisdiction, trustbusters are doing a brisk business by copying each others' cases. The UK Digital Markets Unit released a big, deep market study into Apple's app market monopoly, which the EU Commission used as a roadmap to bring a successful case. Then, competition enforcers in Japan and South Korea recycled the exhibits and arguments from the EU's case to bring their own successful prosecutions:

https://pluralistic.net/2024/04/10/an-injury-to-one/#is-an-injury-to-all

Canada copying the DoJ's ad-tech case is a genius move – it's the kind of south-of-the-border import that Canadians need. Though, of course, it's a long shot that the Trump regime will produce much more worth copying. Instead, Trump has vowed to slap a 25% tariff on Canadian goods as of January 20.

Which is bad news for Canada's export sector, but it definitely means that Canada no longer has to worry about keeping the US Trade Rep happy. Repealing Clement and Moore's Bill C-11 should be Parliament's first order of business. Tariff or no tariff, Canadian tech entrepreneurs could easily export software-based repair diagnostic tools, Iphone jailbreaking tooks, alternative firmware for tractors and medical implants, and alternative app stores for games consoles, phones and tablets. So long as they can accept a US payment, they can sell to US customers. This is a much bigger opportunity than, say, selling cheap medicine to Americans trying to escape Big Pharma's predation.

What's more, there's no reason this couldn't be policy under Polievre and the Tories. After all, they're supposed to be the party of "respect for private property." What could be more respectful of private property than letting the owners of computers, phones, cars, tractors, printers, medical implants, smart speakers and anything else with a microchip decide for themselves how they want to it work? What could be more respectful of copyright than arranging things so that Canadian copyright holders – like a games studio or an app company – can sell their copyrighted works to Canadian buyers, without forcing the data and the payment to make a round trip through Silicon Valley and come back 30% lighter?

Canadian politicians have bound the Canadian public and Canadian industry to onerous and expensive obligations under treaties like the USMCA (AKA NAFTA2), on promise of tariff-free access to American markets. With that access gone, why on Earth would we continue to voluntarily hobble ourselves?

[empty-movement]

May I ask what scanners / equipment / software you're using in the utena art book project? I'm an artist and half the reason I rarely do traditional art is because I'm never happy with the artwork after it's scanned in. But the level of detail even in the blacks of Utena's uniform were all captured so beautifully! And even the very light colors are showing up so well! I'd love to know how you manage!

You know what's really fun? This used to be something you put in your site information section, the software and tools used! Not something that's as normal anymore, but let's give it a go, sorry it's long because I don't know what's new information and what's not! Herein: VANNA'S 'THIS IS AS SPECIFIC AS MY BREAK IS LONG' GUIDE/AIMLESS UNEDITED RAMBLE ABOUT SCANNING IMAGES

Scanning: Modern scanners, by and large, are shit for this. The audience for scanning has narrowed to business and work from home applications that favor text OCR, speed, and efficiency over archiving and scanning of photos and other such visual media. It makes sense--there was a time when scanning your family photographs and such was a popular expected use of a scanner, but these days, the presumption is anything like that is already digital--what would you need the scanner to do that for? The scanner I used for this project is the same one I have been using for *checks notes* a decade now. I use an Epson Perfection V500. Because it is explicitly intended to be a photo scanner, it does threebthings that at this point, you will pay a niche user premium for in a scanner: extremely high DPI (dots per inch), extremely wide color range, and true lossless raws (BMP/TIFF.) I scan low quality print media at 600dpi, high quality print media at 1200 dpi, and this artbook I scanned at 2400 dpi. This is obscene and results in files that are entire GB in size, but for my purposes and my approach, the largest, clearest, rawest copy of whatever I'm scanning is my goal. I don't rely on the scanner to do any post-processing. (At these sizes, the post-processing capacity of the scanner is rendered moot, anyway.) I will replace this scanner when it breaks by buying another identical one if I can find it. I have dropped, disassembled to clean, and abused this thing for a decade and I can't believe it still tolerates my shit. The trade off? Only a couple of my computers will run the ancient capture software right. LMAO. I spent a good week investigating scanners because of the insane Newtype project on my backburner, and the quality available to me now in a scanner is so depleted without spending over a thousand on one, that I'd probably just spin up a computer with Windows 7 on it just to use this one. That's how much of a difference the decade has made in what scanners do and why. (Enshittification attacks! Yes, there are multiple consumer computer products that have actually declined in quality over the last decade.)

Post-processing: Photoshop. Sorry. I have been using Photoshop for literally decades now, it's the demon I know. While CSP is absolutely probably the better piece of software for most uses (art,) Photoshop is...well it's in the name. In all likelihood though, CSP can do all these things, and is a better product to give money to. I just don't know how. NOTENOTENOTE: Anywhere I discuss descreening and print moire I am specifically talking about how to clean up *printed media.* If you are scanning your own painting, this will not be a problem, but everything else about this advice will stand! The first thing you do with a 2400 dpi scan of Utena and Anthy hugging? Well, you open it in Photoshop, which you may or may not have paid for. Then you use a third party developer's plug-in to Descreen the image. I use Sattva. Now this may or may not be what you want in archiving!!! If fidelity to the original scan is the point, you may pass on this part--you are trying to preserve the print screen, moire, half-tones, and other ways print media tricks the eye. If you're me, this tool helps translate the raw scan of the printed dots on the page into the smooth color image you see in person. From there, the vast majority of your efforts will boil down to the following Photoshop tools: Levels/Curves, Color Balance, and Selective Color. Dust and Scratches, Median, Blur, and Remove Noise will also be close friends of the printed page to digital format archiver. Once you're happy with the broad strokes, you can start cropping and sizing it down to something reasonable. If you are dealing with lots of images with the same needs, like when I've scanned doujinshi pages, you can often streamline a lot of this using Photoshop Actions.

My blacks and whites are coming out so vivid this time because I do all color post-processing in Photoshop after the fact, after a descreen tool has been used to translate the dot matrix colors to solids they're intended to portray--in my experience trying to color correct for dark and light colors is a hot mess until that process is done, because Photoshop sees the full range of the dots on the image and the colors they comprise, instead of actually blending them into their intended shades. I don't correct the levels until I've descreened to some extent.

As you can see, the print pattern contains the information of the original painting, but if you try to correct the blacks and whites, you'll get a janky mess. *Then* you change the Levels:

If you've ever edited audio, then dealing with photo Levels and Curves will be familiar to you! A well cut and cleaned piece of audio will not cut off the highs and lows, but also will make sure it uses the full range available to it. Modern scanners are trying to do this all for you, so they blow out the colors and increase the brightness and contrast significantly, because solid blacks and solid whites are often the entire thing you're aiming for--document scanning, basically. This is like when audio is made so loud details at the high and low get cut off. Boo.

What I get instead is as much detail as possible, but also at a volume that needs correcting:

Cutting off the unused color ranges (in this case it's all dark), you get the best chance of capturing the original black and white range:

In some cases, I edit beyond this--for doujinshi scans, I aim for solid blacks and whites, because I need the file sizes to be normal and can't spend gigs of space on dust. For accuracy though, this is where I'd generally stop.

For scanning artwork, the major factor here that may be fucking up your game? Yep. The scanner. Modern scanners are like cheap microphones that blow out the audio, when what you want is the ancient microphone that captures your cat farting in the next room over. While you can compensate A LOT in Photoshop and bring out blacks and whites that scanners fuck up, at the end of the day, what's probably stopping you up is that you want to use your scanner for something scanners are no longer designed to do well. If you aren't crazy like me and likely to get a vintage scanner for this purpose, keep in mind that what you are looking for is specifically *a photo scanner.* These are the ones designed to capture the most range, and at the highest DPI. It will be a flatbed. Don't waste your time with anything else.

Hot tip: if you aren't scanning often, look into your local library or photo processing store. They will have access to modern scanners that specialize in the same priorities I've listed here, and many will scan to your specifications (high dpi, lossless.)

Ahem. I hope that helps, and or was interesting to someone!!!

[amessageonthewind]

The Creation and Purpose of Porygon

Porygon was a Pokémon created in 1995 through computer programming when the Pokémon Storage System was invented on Cinnabar Island in the Cinnabar Lab, making it the very first artificial manmade Pokémon in history made entirely out of programming code.

It was designed as a prototype in order to test the concept of the Pokémon Storage System as a way to test if converting Pokémon into storable data was possible. By creating this Pokémon, it wouldn’t require testing on any existing Pokémon.

It was created, in essence, to be a ‘generic’ Pokémon, indicated by its simple identifiable geometric design in order to see which parts of a Pokémon are being accurately converted into data and back. It’s Normal-type and possesses the signature moves of Conversion (changes the user’s type to match the type of one of the user’s moves including Conversion itself, unable to copy the type of a move that already matches the user’s current types) and Conversion 2 (will randomly change the user’s or an adjacent Pokémon’s type to any type that either resists or is immune to the type of the move last used by the target, including status moves, excluding types it currently has – will fail if the Pokémon already has all types that resist the type of the last damaging move and bypasses accuracy to always hit unless the target is in a semi-invulnerable turn of a move such as Dig or Fly) in order to test if the system could preserve a Pokémon’s type and contain data to test all of them. It also possessed the Ability of Download (either raises the Attack or Special Attack by one stage depending on the foe’s current lowest defensive stat, otherwise will raise Special Attack) in order to test if Abilities could be preserved as well.

The design inspiration came from depictions of it documented in Hisui, essentially making its existence something of a Grandfather Paradox, given that they were first seen emerging from spacetime distortions.

After the invention of the Pokémon Storage System, Porygon then became useful for use in cybersecurity and software development and became popular among collectors after the fact.

Silph Co. takes credit for the creation of Porygon and became invested in its development, though for a time it became obsolete. They were interested in upgrading it to work in space for planetary devolvement reasons, so Silph Co. gave it a digital drive the likes that they would need to send across to hold in order to test the trading system and test if Pokémon could transfer while holding items as well in case they needed to send Porygon up with important items to the space stations above, surprising them with an evolution and discovering trade evolutions in the process.

Porygon2 is a result of being upgraded from the most cutting-edge technology available at the time and became the project, sporting completely rounded shapes and no sharp edges of its preevolution. Silph Co. invented the Upgrade as an evolutionary item to evolve Porygon into Porygon2 by trading it in order to further develop it for work in space software, though its inability to fly limits this ability. It can survive in the vacuum of space, but cannot move very well in zero gravity.

Unlike Porygon that has an outlined purpose that it does not deviate from, Porygon2 is far more intelligent and is capable of learning new behaviours on its own, including proprietary information, and can speak a language that only other Porygon2 can understand. It is truly a feat of artificial intelligence.

Naturally, the next step in Porygon2’s development would be the final frontier – dimensional travel. If Porygon2 was invented to assist in space travel, then the final feat would be dimensional travel. And so, development was initiated on the next project – Porygon3.

However, this project would not find success like the former. An error in the programming of the next upgrade resulted in corrupting the final form and causing it to act erratic and unstable, making it difficult to work with for research and testing and deeming the development to be labelled a failure and for development to be abandoned. The final result was then named Porygon-Z and the discs responsible for this evolution were disposed of and deemed dubious. Academics can’t seem to agree on whether Porygon-Z should be considered a true evolution of Porygon2 or not.

The Dubious Disc, as it has become known by, still sees underground circulation amongst black market collectors and underground researchers interested in further researching both Porygon-Z and revisiting the possibility of completing development on Porygon3, though no progress or breakthroughs have yet been reported at this time.

Taglist:

@earth-shaker / @little-miss-selfships / @xelyn-craft / @sarahs-malewives / @brahms-and-lances-wife

-

@ashes-of-a-yume / @cherry-bomb-ships / @kiawren / @kingofdorkville / @bugsband

If you'd like to be added/removed from my taglist, please let me know :3

[canmom]

more on art production ~under capitalism~

reading Who Owns This Sentence?, a very engaging and fiercely critical history of the concept of copyright, and it's pretty fire. there's all sorts of fascinating intricacies in the way the notion of IP formed around the world (albeit so far the narrative has mainly focused on Europe, and to a limited extent China), and the different ideologies that justified the types of monopolies that it granted. the last chapter i read skewers the idea that the ability to exploit copyright and patents is what motivates the writing of books and research/invention, and I'll try and pull out the shape of the argument tomorrow. so far I'm only up to the 18th century; I'm looking forward to the rest of their story of how copyright grew from the limited forms of that period into the monster it is today.

it's on libgen if you wanna read it! i feel like the authors would be hypocrites to object :p

it is making me think about the differences between the making of books and other media, from (since this has been rattling around my head lately) an economic angle...

writing books, at least in the case of fiction is usually done on a prospective, spec-work kind of basis (you write your novel with no guarantee it will get published unless you're already an established author under contract). admittedly, a lot of us probably read books by authors who managed to 'make it' as professional authors and write full time - but this is not a lucrative thing to do and to make it work you need truly exceptional luck to get a major hit, or to be extremely prolific in things people want to read.

the films and games of the types most of us play are, by contrast, generally made by teams of salaried people - and thus do rarely get made without the belief it will be profitable. if you went on about your 'monetisation model' when writing a book, people would look at you funny and rightly so, but it's one of the first questions that gets asked when pitching a game.

open source software is a notable comparison here. a lot of it is done for its own sake without any expectation of profit, taking untold hours, but large free software projects tend to sprout foundations, which take donations (typically from companies that use the software) to pay for full time developers. mozilla, notably, gets a huge part of its funding from google paying for their search engine to be the default in Firefox; this in turn drives development of not just Firefox itself but also the Rust programming language (as discussed in this very enlightening talk by Evan Czaplicki). Blender is rightly celebrated as one of the best open source projects for its incredibly fast development, but they do have an office in amsterdam and a number of full time devs.

what money buys in regards to creative works is not motivation, but time - time to work on a project, iterate and polish and all that. in societies where you have to buy food etc. to survive, your options for existence are basically:

work at a job

own capital

rely on someone else (e.g. a parent or partner)

rely on state benefits if you can get them

beg

steal

if you're working at a job, this takes up a lot of your time and energy. you can definitely make art anyway, loads of people do, but you're much more limited in how you can work at it compared to someone who doesn't have to work another job.

so again, what money buys in art is the means of subsistence for someone, freeing them to work fully on realising a project.

where does the money come from that lets people work full time on art? a few places.

one is selling copies of the work itself. what's remarkable is that, when nearly everything can be pirated without a great deal of effort, it is still possible to do this to some degree - though in many ways the ease of digital copying (or at least the fear if it) has forced new models for purely digital creations, which either trade on convenience (streaming services) or in the case of games, find some way to enforce scarcity like requiring connection to a central server and including 'in-app purchases', where you pay to have the software display that you are the nebulous owner of an imaginary thing, and display this to other players. anyway, whichever exact model, the idea is that you turn the IP into capital which you then use to manufacture a product like 'legal copies', 'subscriptions' or 'accounts with a rare skin unlocked'.

the second is using the work to promote some other, more profitable thing - merchandising, an original work, etc. this is the main way that something like anime makes money (for the production committee, if not the studio) - the anime is, economics-wise, effectively an ad for its own source manga, figurines, shirts etc. the reason why there is so much pro media chasing the tastes of otaku is partly because otaku spend a lot on merch. (though it's also because the doujin scene kind of feeds into 'pro' production)

the third is some kind of patronage relationship, notably government grants, but also academic funding bodies, or selling commissions, or subscriptions on a streaming platform/patreon etc.

grants are how most European animated films are funded, and they often open with the logos of a huge list of arts organisations in different countries. the more places you can get involved, the more funds you can pull on. now, instead of working out how to sell your creation to customers who might buy a copy, under this model you need to convince funding bodies that it fits their remit. requesting grants involves its own specialised language.

in general the issue with the audience patronage model is that it only really pays enough to live on if you're working on a pretty huge scale. a minority make a fortune; the vast majority get a pittance at most, and if they do 'make it', it takes years of persistence.

the fourth is, for physical media, to sell an original. this only works if you can accumulate enough prestige, and the idea is to operate on extreme scarcity. the brief fad of NFTs attempted to abstract the idea of 'owning' an original from the legal right to control the physical object to something completely nebulous. in practice this largely ended up just being a speculative bubble - but then again, a lot of the reason fine art is bought and sold for such eye watering sums is pretty much the same, it's an arbitrary holder of an investment.

the fifth is artworks which are kind of intrinsically scarce, like live performances. you can only fit so many people in the house. and in many cases people will pay to see something that can be copied in unique circumstances, like seeing a film at a cinema or festival - though this is a special case of selling copies.

the sixth is to sell advertising: turn your audience into the product, and your artwork into the bait on the hook.

the alternative to all of these options is unpaid volunteer work, like a collab project. the participants are limited to the time and energy they have left after taking care of survival. this can still lead to great things, but it tends to be more unstable by its nature. so many of these projects will lose steam or participants will flake and they'll not get finished - and that's fine! still, huge huge amounts of things already get created on this kind of hobby/indie/doujin basis, generally (tho not always) with no expectation of making enough money to sustain someone.

in every single one of these cases, the economic forces shape the types of artwork that will get made. different media are more or less demanding of labour, and that in turn shapes what types of projects are viable.

books can be written solo, and usually are - collaborations are not the norm there. the same goes for illustrations. on the other hand, if you want to make a hefty CRPG or an action game or a feature length movie, and you're trying to fit that project around your day job... i won't say it's impossible, I can think of some exceptional examples, but it won't be easy, and for many people it just won't be possible.

so, that's a survey of possibilities under the current regime. how vital is copyright really to this whole affair?

one thing that is strange to me is that there aren't a lot of open source games. there are some - i have memories of seeing Tux Racer, but a more recent example would be Barotrauma (which is open source but not free, and does not take contributions from outside the company). could it work? could you pay the salaries of, say, 10 devs on a 'pay what you can' model?

it feels like the only solution to all of this in the long run is some kind of UBI type of thing - that or a very generous art grants regime. if people were free to work on what they wanted and didn't need to be paid, you wouldn't have any reason for copyright. the creations could be publicly archived. but then the question i have is, what types of artwork would thrive in that kind of ecosystem?

I've barely talked about the book that inspired this, but i think it was worth the trouble to get the contours of this kind of analysis down outside my head...

[rainedragon]

do you have any tips for scanning old magazines/catalogs? i'd like to help archive some of the publications i have, but i don't really know where to start ʕ⁠´⁠•⁠ᴥ⁠•⁠`⁠ʔ

i'm mostly concerned about binding (especially on glbs) and what scanner specifications to look at, but any other advice or resources would be appreciated too!

So, I'm not actually an archivist, I'm a web developer by trade. I own a relatively inexpensive flatbed printer/scanner, mostly because it was what I could go out to a physical store and buy for relatively cheap when I started out scanning old magazines and catalogs.

For anything that is staple bound, like a magazine, and can be put flat on a table while open, scanning is relatively easy. You just need a flatbed scanner that is bigger than the pages, and a book to put on top of the lid to keep it flat (don't use too heavy of a book or you will damage the scanner 1-2 magazines is usually good. Also, don't forget they are there, open the lid and fling them across the room). Line up a corner of the page on the corner of the scanner and you should be golden. Scan in photo mode if your scanner software has options. Ideally, for things like the GLB, you would either want a copy you can destroy (which I kind of think is what some of the 'latest magazines' scanning farms were doing in the 2010s) and to carefully unbind the whole thing and scan the pages flat (which I have no personal interest in doing because destroying books pains me and I'm not trying to digitize "clean" digital copies for any professional reason). OR, my understanding is you want something with a V-shaped cradle of some type that is specialized for scanning books, either as an actual scanner or a camera setup with software. The problem is last time I looked those were like 10K and up if you get a piece of specialized equipment.

I've vaguely dabbled with the idea of doing a very hacky version of a DIY build with boxes cut down to the right angle and some panes of glass and my DSLR for my pink house catalogs because they are too big but I never really got it fully figured out. I will admit, I haven't tried super hard. I kept getting reflections, and I had to worry about the glass scratching the pages, and I didn't feel like getting a proper light.... I know I should really try again, and try a little harder, but it's a lot and I have a lot of other stuff I need to do so it just keeps getting kicked down the road.

That said, if you want to get into trying a DIY build, there is a whole community of people who were doing that in the 2010s that have posted good info on types of glass and way more detailed suggestions than I can make here: https://diybookscanner.org/forum/index.php This box scanner is essentially what I was trying to set up and it theoretically should work, I'm pretty sure my whole issue is that I was trying to do it all quickly at like midnight one day and did not have the right lighting and didn't try too hard to fix that. Like... I could have tried a lot harder than I did https://www.instructables.com/Bargain-Price-Book-Scanner-From-A-Cardboard-Box/ (good pictures of one here: https://diybookscanner.org/forum/viewtopic.php?f=14&t=1202)

And then I needed to take it apart because I needed the table back...

But yeah, if you don't want to invest thousands or destroy them, I would say try a cardboard box scanner for things like the GLB, see if you can get it to work for you?

And then for things that can go flat, a combo scanner/printer that is good enough for photographs will be more than good enough for the print resolution of most magazines and the scanner/printer combos are way cheaper than dedicated scanners because they think you are going to become an ink customer and buy printer ink, so they make it cheaper. But the joke is on them. My combo scanner printer has never had ink in it before. (Note: do read reviews and make sure it's not stupid enough to require it's ink to be full to scan. I wouldn't put it past some companies to add that to their software). If you are really passionate about this, there are a lot of people who are way more dedicated to archival book scanning who have developed all sorts of DIY solutions for speeding up the process, automating parts of it, etc, and searching for terms like DIY book scanner should get you in the right place on the internet.

[archoneddzs15]

Sega Saturn - Slayers Royal

Title: Slayers Royal / スレイヤーズろいやる

Developer: Onion Egg

Publisher: Kadokawa Shoten / Entertainment Software Publishing (ESP)

Release date: 25 July 1997

Catalogue No.: T-27903G

Genre: RPG

If it wasn't for Slayers Royal 2, then I would have written quite a long piece for this game. But since Slayers Royal 2 is basically the same game with improvements, I think I'll pass. Check out the Slayers Royal 2 page for the lowdown on what great little games these two are.

Anyway, plot. Lina, Gourry, and Naga are barely together for a day before finding themselves yet again as the only thing standing in the way of a worldwide cataclysm. It's up to them, as well as many returning friends, to save the world, or what will be left of it anyways.

My copy comes with a silver card slip case, trading cards, and a telephone card.

[creepypasta-boy]

Pale Luna

In the last decade and a half, it's become infinitely easier to obtain exactly what you're looking for by way of a couple of keystrokes. The Internet has made it all too simple to use a computer to change reality. An abundance of information is merely a search engine away, to the point where it's hard to imagine life as any different.

Yet, a generation ago, when the words 'streaming' and 'torrent' were meaningless save for conversations about water, people met face-to-face to conduct software swap parties, trading games and applications on Sharpie-labeled, five-and-a-quarter inch floppies.

Of course, most of the time, the meets were a way for frugal, community-minded individuals to trade popular games like King's Quest and Maniac Mansion amongst themselves. However, a few early programming talents designed their own computer games to share amongst their circle of acquaintances, who in turn would pass them on, until, if fun and well-designed enough, an independently-developed game had its place in the collection of aficionados across the country. Think of it as the 80s equivalent of a viral video.

Pale Luna, on the other hand, was never circulated outside of the San Francisco Bay Area. All known copies have long been disposed of, all computers that have ever run the game now detritus buried under layers of filth and polystyrene. This fact is attributed to a number of rather abstruse design choices made by its programmer.

Pale Luna was a text adventure in the vein of Zork and The Lurking Horror, at a time when said genre was swiftly going out of fashion. Upon booting up the program, the player was presented with an almost completely blank screen, except for the text:

You are in a dark room. Moonlight shines through the window. There is GOLD in the corner, along with a SHOVEL and a ROPE. There is a DOOR to the EAST. Command?

So began the game that one writer for a long-out-of-print fanzine decried as "enigmatic, nonsensical, and completely unplayable". As the only commands that the game would accept were PICK UP GOLD, PICK UP SHOVEL, PICK UP ROPE, OPEN DOOR, and GO EAST, the player was soon presented with the following:

Reap your reward. PALE LUNA SMILES AT YOU. You are in a forest. There are paths to the NORTH, WEST, and EAST. Command?

What quickly infuriated the few who've played the game was the confusing and buggy nature of the second screen onward — only one of the directional decisions would be the correct one. For example, on this occasion, a command to go in a direction other than NORTH would lead to the system freezing, requiring the operator to hard reboot the entire computer.

Furthermore, any subsequent screens seemed to merely repeat the above text, with the difference being only the directions available. Worse still, the standard text adventure commands appeared to be useless: the only accepted non-movement-related prompts were USE GOLD, which caused the game to display the message:

Not here.

USE SHOVEL, which brought up:

Not now.

And USE ROPE, which prompted the text:

You've already used this.

Most who played the game progressed a couple of screens into it before becoming fed-up of having to constantly reboot their devices and tossing the disk in disgust, writing off the experience as a shoddily programmed farce. However, there is one thing about the world of computers that remains true, no matter the era: some people who use them have way too much time on their hands.

A young man by the name of Michael Nevins decided to see if there was more to Pale Luna than what met the eye. Five hours and thirty-three screens worth of trial-and-error and unplugged computer cords later, he finally managed to make the game display different text. The text in this new area read:

PALE LUNA SMILES WIDE. There are no paths. PALE LUNA SMILES WIDE. The ground is soft. PALE LUNA SMILES WIDE. Here. Command?

It was another hour still before Nevins stumbled upon the proper combination of phrases to make the game progress any further: DIG HOLE, DROP GOLD, then FILL HOLE. This caused the screen to display:

Congratulations. —— 40.24248 —— —— -121.4434 ——

Upon which the game ceased to accept commands, requiring the user to reboot one last time.

After some deliberation, Nevins came to the conclusion that the numbers referred to lines of latitude and longitude. The coordinates lead to a point in the sprawling forest that dominated the nearby Lassen Volcanic Park. As he possessed much more free time than sense, Nevins vowed to see Pale Luna through to its ending.

The next day, armed with a map, a compass, and a shovel, he navigated the park's trails, noting with amusement how each turn he made corresponded roughly to those that he took in-game.

Though he initially regretted bringing the cumbersome digging tool on a mere hunch, the path's similarity all but confirmed his suspicions that the journey would end with him face-to-face with an eccentric's buried treasure.

Out of breath after a tricky struggle to the coordinates, he was pleasantly surprised by a literal stumble upon a patch of uneven dirt. Shoveling as excitedly as he was, it would be an understatement to say that he was taken aback when his heavy strokes unearthed the badly-decomposing head of a blonde-haired little girl.

Nevins promptly reported the situation to the authorities. The girl was identified as Karen Paulsen, 11, reported as missing to the San Diego Police Department a year and a half prior.

Efforts were made to track down the programmer of Pale Luna, but the nearly-anonymous legal gray area in which the software swapping community operated inescapably led to many dead ends.

Collectors have been known to offer upwards of six figures for an authentic copy of the game.

The rest of Karen's body was never found.

Credited to Mikhail Honoridez 

[mariacallous]

“Americans, your calls and texts can be monitored by Chinese spies,” a Washington Post opinion piece recently headlined. China has “growing cyber-sophistication and relentless ambition to undermine U.S. infrastructure” another Post article reported. Some analyses trace the recent exploitation to a telecommunications network backdoor created early in the era of digital networks to allow for court-authorized wiretaps.

When the digital wiretap law was passed in 1994, no one foresaw the kind of sophisticated intrusions apparently developed by the Chinese. It is an experience that we must remember as the design of digital network technology continues to evolve. 

I helped negotiate the 1994 Communications Assistance for Law Enforcement Act (CALEA) that, some fear, created the exploitable access for Chinese spies. The concern at the time was that the evolution from analog to digital telecommunications was hindering law enforcement. “Some of the problems encountered by law enforcement relate to the explosive growth of cellular and other wireless services,” the House committee report explained. “[T]he increasing amount of transactional data generated by the millions of users of on-line services” was an accompanying problem. Written 30 years ago, it is a description of today’s communications environment, in which wireless networks deliver online digital information.

At the time, I was the CEO of the Cellular Telecommunications and Internet Association (CTIA), the wireless industry’s trade association. Along with wired communications providers, our members were concerned about the way the FBI was proposing to monitor communications across the new digital technology. After detailed and lengthy negotiations, industry and law enforcement mutually agreed to a result that addressed the FBI’s concerns about access to the new technology, while also addressing industry concerns.

On August 11, 1994, I sat next to FBI Director Louis Freeh before a joint House and Senate hearing to announce that we had reached an agreement on the CALEA legislation and to urge its passage. That what we jointly endorsed that day could, decades later, be potentially hackable by Chinese spies was not part of that discussion.

Today—30 years after CALEA—a new digital wireless technology promoted by both the industry and government is raising new cyber risks. Called Open Radio Access Network (O-RAN), it is a new technical standard that seeks to copy for telecommunications infrastructure the scale and savings enjoyed by the computer industry’s interoperability of different pieces of network equipment from different vendors. In O-RAN, the network functions once performed by purpose-built hardware are instead virtualized in software. Based on input from the Federal Communications Commission (FCC) and Department of Commerce, the software is broken into multiple layers, thus expanding the number of vendors.

The O-RAN concept is an important step forward that will deliver increased capabilities at decreased costs. Accompanying these advantages, however, is the challenge to mitigate the increased risk of cyberattacks resulting from software that relies in part on open-source code running on commodity hardware. 

Earlier networks ran on proprietary equipment utilizing proprietary software that offered focused protection against attacks. Moving more functions to hackable software that is disaggregated from a purpose-built network appliance creates new pathways to attack these new networks.

Another attractive aspect of O-RAN is how the shift to virtualize hardware breaks the chokehold of the traditional suppliers of network equipment. This advantages cybersecurity because it creates alternatives to Chinese hardware manufacturers, such as Huawei. Yet, this too comes with the countervailing paradox that such supplier diversity represents another increase in the number of attack trajectories in the networks.  

As the European Union’s Report on the Cybersecurity of Open Radio Access Networks concluded, while there are security benefits to the diversification of suppliers, “by introducing a new approach, new interfaces and new types of RAN components potentially coming from multiple suppliers, Open RAN would exacerbate a number of the security risks of 5G networks and expand the attack surface.”

Network operators and law enforcement were reportedly blindsided by the ability of Chinese hackers to create advanced persistent threats (APTs) to exploit CALEA. This experience, however, is but the most current of many warnings that the networks on which our nation relies are vulnerable. Whatever the outcome of the ongoing investigation, the latest exploitation should send a message that we need cybersecurity as a forethought, rather than an afterthought, in the design of digital networks, accompanied by ongoing oversight of network security.

Looking back to go forward

Twenty years after CALEA passed, I was chairman of the FCC, the agency responsible for America’s networks. As chairman, I tried to work with network providers to develop cybersecurity standards that were flexible enough to evolve with the technology and the ever-evolving attack techniques of those seeking to exploit the networks. The irrefutable fact is that every single one of the cyberattacks that affect our nation traverse, at one point or another in their transmission, a private network regulated by the FCC.

What we proposed in 2014 was that the companies implement and report on their adherence to the National Institute of Standards and Technology’s (NIST) Cybersecurity Framework. The NIST Framework is a collection of best-practice internal controls developed collaboratively with industry that is continually evolving to help companies protect against cyberattacks. Along with implementing the voluntary NIST Framework, we asked the industry to identify where they set their objective cyber-risk threshold, their progress toward implementation of the Framework, and the steps taken to cure internal control shortfalls.

It was a new approach to network oversight that stopped short of regulatory micromanagement in favor of standards-based expectations. “The communications sector is at a critical juncture,” I said in a June 14, 2014, speech laying out the new program. “We know those [cyber] threats are growing. And we have agreed that industry-based solutions are the right approach… We will implement this approach and measure results. It is those results that will tell us what, if any, next steps must be taken.”

Unfortunately, the effort fell apart when the companies resisted a plan for reporting to the FCC. The industry argued the Department of Homeland Security (DHS) was a better place for such oversight. DHS, of course, had no regulatory authority over the networks. The Trump FCC then followed the industry’s preference and ceased the FCC initiative. 

DHS subsequently established the Cybersecurity and Infrastructure Security Agency (CISA), which is doing great work to advance best practices across the economy. Absent regulatory authority, however, such efforts can only go so far.  Cyber risk is a business risk; at the end of the day, how much a company invests in risk reduction is a bottom-line decision. The appropriate role for a regulator such as the FCC should be to establish expectations for such decisions to stimulate sufficient cyber protection by the nation’s networks—and then to inspect the results.

Today, the FCC’s minimal cybersecurity reporting obligations are constrained to cyber incidents that lead to outages, with no reporting requirements for compromises to confidentiality or network integrity. Amazingly, through its detailed reporting requirements on cyber issues, the Securities and Exchange Commission (SEC) has more information on cyber shortfalls than the regulator charged with protecting America’s networks. 

Thirty years ago, government and industry worked together to protect public safety and national security in a rapidly evolving digital environment. Ten years ago, industry and government could not come to terms with ongoing cybersecurity oversight at the FCC. The current cyberattacks are a clarion call that network security must be both a forethought in network design and an ongoing regulatory responsibility for the agency entrusted with oversight of the nation’s networks.

[falatiseo]

The Secret Guide to Find the Best Intellectual Property Lawyer

In today's rapidly evolving world, intellectual property (IP) has become a valuable and fiercely protected asset. Whether you're a creative artist, a tech startup, or an established corporation, your ideas, inventions, and innovations deserve safeguarding. This is where intellectual property lawyers come into play. In this article, we'll explore the critical role of intellectual property lawyers and why their expertise is indispensable in an era of creativity and innovation.

Understanding Intellectual Property

Before we delve into the role of an intellectual property lawyer, it's essential to grasp what intellectual property encompasses. Intellectual property refers to the legal rights granted to individuals or entities over their creations or inventions. These creations can include:

Copyrightable Works: Such as literature, music, films, and software. Trademarks: Identifiers of goods or services that distinguish them from others. Patents: Exclusive rights to inventions, processes, and innovations. Trade Secrets: Proprietary information, like manufacturing processes, formulas, or customer lists.

The Vital Role of Intellectual Property Lawyers

Strategic Counsel: Intellectual property lawyers provide strategic guidance on how to protect your IP assets. They assess your unique needs and develop a customized plan to safeguard your creations.

IP Portfolio Management: For businesses, managing a portfolio of IP assets can be complex. Lawyers assist in organizing, maintaining, and enforcing these assets, ensuring they remain valuable assets.

Registration and Filing: Intellectual property lawyers are experts in filing and registering IP with the appropriate government authorities. This includes copyright registrations, trademark applications, and patent filings.

IP Enforcement: When someone infringes upon your intellectual property rights, an IP lawyer is your advocate. They can send cease-and-desist letters, negotiate settlements, or take legal action on your behalf.

Defensive Strategies: Intellectual property lawyers can help clients defend against allegations of IP infringement. They evaluate the claims, gather evidence, and develop a strong defense strategy.

Licensing and Contracts: Many IP owners license their rights to others. Lawyers negotiate and draft licensing agreements, ensuring that the terms protect the IP owner's interests.

Due Diligence: In mergers, acquisitions, or investments, intellectual property lawyers conduct due diligence to assess the value and risks associated with IP assets.

Challenges in the Digital Age

In today's digital age, the protection of intellectual property faces unique challenges. The ease of copying and distributing digital content, the rise of online infringement, and the global nature of the internet have added complexity to IP issues. Intellectual property lawyers must adapt to these challenges by staying current on legal developments, cybersecurity threats, and international IP treaties.

The Importance of Early Action

One crucial aspect of intellectual property protection is early action. Waiting until an issue arises can be costly and limit your legal options. Intellectual property lawyers stress the importance of proactive protection. Whether you're an individual artist or a business entity, consulting with an IP lawyer early in the creative or innovative process can help you establish a strong foundation for protection.

Navigating International IP Law:

In our interconnected world, intellectual property often crosses international borders. Intellectual property lawyers are well-versed in international IP treaties and agreements. They can assist clients in protecting their IP rights globally, ensuring that innovations, trademarks, and copyrights are safeguarded in multiple jurisdictions.

IP Litigation and Enforcement:

When disputes over intellectual property arise, IP lawyers are prepared to advocate for their clients in legal proceedings. IP litigation can be complex, involving issues such as patent infringement, copyright disputes, or trademark challenges. Lawyers specializing in IP have the expertise to build strong cases and represent their clients effectively in court.

Emerging Technologies and IP:

As technology continues to advance, intellectual property lawyers are at the forefront of addressing novel challenges. This includes issues related to artificial intelligence, blockchain, virtual reality, and biotechnology. Lawyers work to ensure that innovators in these fields have adequate protection for their creations while also navigating the ethical and legal complexities that arise.

Digital Rights Management (DRM):

In the digital age, the protection of digital content is paramount. IP lawyers play a role in advising content creators and distributors on implementing DRM strategies to prevent unauthorized copying or distribution of digital assets.

Open Source and IP Licensing:

Open-source software and collaborative projects have become essential parts of the tech industry. Intellectual property lawyers help clients understand the intricacies of open-source licensing and ensure compliance with license terms when using open-source software in their projects.

Protection Against Counterfeiting and Piracy:

Counterfeiting and piracy remain significant threats to intellectual property rights. IP lawyers work with clients to develop strategies to combat counterfeit products and piracy in various industries, from fashion to pharmaceuticals.

Education and Awareness:

Intellectual property lawyers often play an educational role, helping clients understand the importance of IP protection. They can offer guidance on best practices for IP management within organizations, including employee training on IP issues.

Environmental Considerations:

In some cases, intellectual property intersects with environmental concerns. IP lawyers work with clients to protect environmentally sustainable innovations, such as clean energy technologies, and navigate IP issues related to environmental regulations and patents.

Ethical Considerations:

The ethical responsibilities of IP lawyers are multifaceted. They must uphold the highest ethical standards in their practice, ensuring confidentiality, avoiding conflicts of interest, and providing clients with honest and transparent advice. Ethical considerations are particularly important when dealing with sensitive matters such as trade secrets.

Conclusion: Guardians of Innovation and Creativity

In a rapidly evolving world driven by innovation and creativity, intellectual property lawyers serve as essential guardians of the rights and interests of individuals, businesses, and organizations. They navigate complex legal landscapes, address emerging challenges in technology and digital media, and provide strategic guidance that allows innovators to thrive while protecting their valuable creations.

The role of an intellectual property lawyer extends beyond legal expertise; it encompasses a commitment to fostering innovation, creativity, and the responsible management of intellectual assets. By collaborating with these legal professionals, individuals and entities can navigate the intricate terrain of intellectual property rights, secure their innovations, and contribute to the vibrant tapestry of human progress. In an age where ideas and innovations are catalysts for change, intellectual property lawyers are instrumental in safeguarding the intellectual legacy of today and the innovations of tomorrow.

[ecrivainsolitaire]

In other words, the AI is not the root of the problem, it's just a magnifying glass on a bunch of other problems that have existed for a long time and that everyone just shrugged and ignored, which now they cannot do.

The AI didn't teach children to cheat on their essays. Their teachers overloading them with work that rewards form over substance and time over both did. What AI did is make it impossible to keep ignoring.

I know this is fact because I remember hearing the exact same arguments ten years ago about Wikipedia. Teachers complaining about kids just copying and pasting wikis, essay trading in web forums, people sending each other homework through MSN messenger.

The solution then was the same as now. Refocusing teaching and grading goals to adapt to the current needs of the student body. The reason you can't get away with copying Wikipedia anymore isn't because it got harder, it's because teachers now need to weigh the known writing skills of the student against the submitted product. If I have a student who can barely spell their own name suddenly come up with the word "acquiescence" I know the internet was involved somehow. If that happens, what I have to do is call the student up to my desk to talk about what I noticed, ask them questions about the subject of the essay, and probe them until they either fess up or demonstrate enough knowledge that I can let them off with a warning and a lower grade. This is what teaching is. Identify weaknesses, point them out, guide the student towards developing the required strengths. If it becomes a repeated offence, involve higher authorities. That is a healthy way to handle cheating on an essay.

What you do not do when a student hands you a clearly cheated on essay is single them out in front of the class, run it through a forensic assessment software like this is fucking NCIS, begin an investigation on a district level that will result on their expelling, and then blow it up on social media to further annihilate their chances of a decent future.

That is not the behaviour of an education centre. It is the behaviour of a surveillance state.

None of this is conducive to learning. We have lost focus so much that everyone is now more worried about policing bot use than actually giving a shit about why students are resorting to bot use. The argument that it's easier to cheat, therefore more people will, carries the underlying assumption that a student's primary goal in the education system, by default, is to get out of it by doing as little work as possible.

How the fuck did education go so wrong that this is how we think of students?

If this is true, then the education system is failing them by making school work seem like an unfair punishment instead of a vital part of the learning process. If this is false, then the education system is failing them by acting like the goddamn CCP instead of focusing on improving their learning process.

In neither case is the solution "police them more so that they are forced to learn".

And honestly, I'm sick of AI scapegoating. People blame the tool to avoid accountability for their own actions. Are students cheating because my class requirements are unreasonable? No it's the bot's fault. Are waymos and teslas crashing and killing people because they were allowed to skip quality control processes to make sure they follow safety regulations? Bo it's the bot's fault. Are people exploiting social media with generative slop because the algorithms are designed to reward low effort and high output over quality or feedback because they keep trying to find ways to deny users feedback? No it's the bot's fault. Are computers expensive because of artificial scarcity, political warfare and focus on stockholder profit over consumer satisfaction? No it's the bot's fault. Are tariffs stupid because some dumbass was using them for a penis contest with no regard for what's mathematically and politically feasible? No it's the bot's fault. Somehow this tool, this thing that cannot think and has no agency or a physical body or any control over its outputs beyond what is expected of it, in less than three years had become responsible (how?) for all the ills of mankind. Because if it's the bot's fault, then I don't have to put any effort in changing how I teach. Then politicians don't have to consult with economists before passing stupid bills. Then car manufacturers don't have to pay liability lawsuits. No I'm not liable, the bot Microsoft sold me did it. Oh but Microsoft doesn't own it, it's OpenAI. Oh but they don't control it, actually it's super scary and will kill us all, but also if we try to stop it then a basilisk will bite you or some shit. No one is accountable therefore no one is liable therefore no one is at fault, nothing has to change, we can keep carrying on with the same broken systems that we already know do not work. Just burn the witch and keep going the same way you were going. Easy. We can keep overworking children and making combustible cars and copyright trolling on YouTube and doing all the shitty things we currently do, and nothing needs to get better, ever. Because doing things better is hard and I'd rather not bother trying to improve and oops I wonder where my students learned that, is this the time for some introspection?

No, it's the children who are wrong.

"what did students do before chatgpt?" well one time i forgot i had a history essay due at my 10am class the morning of so over the course of my 30 minute bus ride to school i awkwardly used by backpack as a desk, sped wrote the essay, and got an A on it.

six months later i re-read the essay prior to the final exam, went 'ohhhh yeah i remember this', got a question on that topic, and aced it.

point being that actually doing the work is how you learn the material and internalize it. ChatGPT can give you a short cut but you won't build you the the muscles.

[shivam1605]

How Generative AI is Transforming Industries

The Rise of Generative AI Applications

Generative AI applications are transforming industries with how they operate, create, and innovate. The sudden boom of products such as ChatGPT, MidJourney, and DALL-E over the past two years has repositioned AI as a front-line innovation machine instead of an end-of-line data-processing tool. From redefining drug development as a process to revolutionising ad tech campaigns, generative AI applications are industry-sustainable and ubiquitous in adoption. This blog post discusses the sweep of generative AI application use cases and their sheer potential across healthcare, finance, marketing, and design. 

 What Are Generative AI Applications?

Generative AI solutions are technology and software capable of producing new, fresh content, data, or ideas in line with the patterns learned. Generative AI does everything normal AI can do plus more because it is capable of producing text, models, images, or music. Generative AI solutions are constructed on the foundation of large language models (LLMs), generative adversarial networks (GANs), and diffusion models, and therefore, such solutions best suit the work that requires originality and creativity.

Key Generative AI Use Cases Across Industries

Generative AI applications vary across industries. Among the most popular ones are:

Text Generation – Marketing copywriting, chatbots, content, and coding help.

Image Generation – Logo creation, artwork, buildings, and virtual world design.

Audio Generation – Audio generation of music, voice-overs, or even deepfakes audio.

Synthetic Data – Generation of a synthetic training dataset for AI models.

Product Design – Automations of prototyping and iteration in industrial design.

Let us see how these tools are being utilised in some industries.

AI in Healthcare: Redefining Diagnosis and Treatment

The healthcare sector is adopting AI at a very fast rate, and the generative AI tools are assuming the lead role in research, diagnosis, and individualisation of treatment.

1. Drug Discovery

Generative AI can mimic molecular shape and predict their behaviour, allowing pharmaceutical firms to identify new drugs precisely and rapidly.

2. Medical Imaging

Techniques such as generative adversarial networks (GANs) augment imaging by imputing missing information, eliminating image noise, or modelling anomalous disease states.

3. Personalised Treatment Plans

Medicine now allows physicians to design personal treatment plans based on their patients' medical history and genetics.

4. Synthetic Patient Data

Hospitals utilise generative AI for the creation of artificial patient records for model training without sacrificing confidentiality.

Generative AI in Finance: Automating Insights and Strategy

Generative AI in finance is evolving from reactive to active generation of insights.

1. Financial Report Generation

AI is utilised by financial analysts and institutions to automatically generate earnings reports, portfolio reports, and investment memoranda in volume.

2. Fraud Detection and Simulation

Generative AI enables the staging of a simulation of fictitious activity to mimic security controls and fraud detection systems.

3. Algorithmic Trading Strategies

AI algorithms formulate trading strategies based on learning from historical trends and economic information.

4. Customer Communication

Chatbots trained on financial data provide individuals with personalised financial counsel or customer support.

Marketing with AI: Revolutionising Campaigns and Content

AI marketing is transforming content creation, personalisation, and customer interaction.

1. Automated Content Creation

AI writing tools like Jasper and ChatGPT allow marketers to write blogs, ads, and target market scripts.

2. Hyper-Personalization

AI analyses customer data to generate tailored email marketing campaigns, product recommendations, and ad copy.

3. Creative Brainstorming

AI generates new campaign ideas, images, and taglines.

4. Social Media Automation

Apps publish auto-captions, status updates, and response messages across social media platforms.

AI for Design: Creating the Future of Aesthetics

Design AI is transforming the design process of the architect, artist, and product designer.

1. Logo and Visual Design

MidJourney and Canva AI require the minimum amount of input to design logos and promotional materials.

2. Interior and Industrial Design

Designers use AI for interior design, furniture layout, and even product positioning in ergonomics.

3. Game and Animation Design

AI designs scenes, stories, and characters, which speeds up the game design development cycles.

4. UX and Web Design

Generative AI creates wireframes, mockups, and design versions by itself, allowing teams to design better user experiences more quickly.

Challenges in Generative AI Applications

While there are deserving challenges:

Data Bias: AI is trained on recent data, and that can include biases in society.

Intellectual Property: Ownership of AI content is a matter of open law.

Authenticity Risks: Deepfakes and disinformation are reputational and ethical concerns, including the potential for AI-generated child content.

Cost and Infrastructure: Generative model training and deployment need high-performance computing.

The Future of Generative AI Applications

The future of generative AI is more autonomous, collaborative, and responsible systems. Future trends soon to be seen include the following:

Multimodal AI Models – A single model simultaneously produces text, images, and code.

Real-Time Collaboration Tools – Real-time collaboration teams with AI assistants.

Explainable AI – User explanations and interpretability of generative models.

Industry-Specific Fine-Tuning – Industry-targeted models for industries like law, biotech, and education.

FAQs on Generative AI Applications

Q1: What industries are using generative AI the most?

Healthcare, finance, marketing, and design now top the utilisation of generative AI because creativity, automation, and customisation are needed.

Q2: How does generative AI differ from traditional AI?

The conventional AI works with prediction and classification, while the generative AI produces new items in images, words, and simulations.

Q3: Can generative AI replace human jobs?

While it may do repetitive work, the generative AI is as much a partner to extend human imagination.

Q4: Is generative AI safe for use in sensitive fields like healthcare?

Yes, the generative AI is being utilised in diagnostics and treatment planning under compliance and close monitoring.

Q5: What are the biggest risks of generative AI?

Bias, disinformation, legal ambiguity, and computation scale are significant risks to be contained.

Conclusion: Embracing the Power of Generative AI

Generative AI solutions are a reality today. They're transforming the way industries innovate, automate, and interconnect. To deliver better patient results in healthcare, financial planning, innovation in marketing, or revolutionise design processes, the uses are wide and profound. The more it's adopted, the greater the need for companies to balance innovation and accountability, so stability in generative AI benefits users and society.

[cybersecurityict]

Artificial Intelligence Market gains unstoppable growth traction through 2032

The Artificial Intelligence Market was valued at USD 178.6 Billion in 2023 and is expected to reach USD 2465.8 Billion by 2032, growing at a CAGR of 33.89% from 2024-2032.

U.S. remains a dominant hub for AI innovation, investment, and adoption across both public and private sectors

Artificial Intelligence Market is experiencing exponential growth as enterprises integrate AI-driven solutions to boost operational efficiency, accelerate automation, and deliver smarter customer experiences. With applications spanning across healthcare, finance, automotive, retail, and manufacturing, AI is redefining how industries innovate, scale, and serve.

Artificial Intelligence Market continues to transform rapidly, fueled by advancements in machine learning, NLP, and computer vision technologies. Tech giants and startups alike are driving ecosystem-wide innovation, creating a competitive landscape filled with opportunities for next-gen solutions and strategic collaborations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2801 

Market Keyplayers:

Google (Alphabet Inc.) - Google AI

IBM - IBM Watson

Microsoft - Azure AI

Amazon Web Services (AWS) - AWS Deep Learning AMIs

NVIDIA Corporation - NVIDIA DGX Systems

Intel Corporation - Intel Nervana

Baidu, Inc. - Baidu AI

Salesforce - Salesforce Einstein

Apple Inc. - Siri

Tencent - Tencent AI Lab

SAP - SAP Leonardo

Adobe Inc. - Adobe Sensei

OpenAI - GPT-3

Market Analysis

The AI market is propelled by increasing data availability, improved algorithms, and rising demand for intelligent automation. Organizations are embedding AI into their workflows to drive accuracy, reduce costs, and uncover actionable insights. The market is also witnessing a surge in AI-as-a-Service (AIaaS) models, allowing scalable adoption for small to large enterprises.

Government initiatives, particularly in the U.S. and parts of Europe, are playing a pivotal role in advancing research, funding, and regulatory support. Meanwhile, ethical AI and data privacy remain key focus areas, shaping responsible innovation across industries.

Market Trends

Rapid deployment of AI in cybersecurity, fraud detection, and predictive maintenance

Growth in generative AI tools transforming content creation and software development

Expansion of edge AI for real-time processing in IoT devices

AI integration in customer service via chatbots and virtual assistants

Rise of explainable AI to increase transparency and trust

Development of industry-specific AI models for targeted applications

Increased collaboration between tech firms and academia to accelerate breakthroughs

Market Scope

The scope of the Artificial Intelligence Market is both broad and dynamic, reflecting AI’s role as a transformative engine across sectors. Businesses are not just exploring AI—they are embedding it as a core strategy.

AI in healthcare for diagnostics, drug discovery, and patient monitoring

Automation in finance for risk assessment and trading strategies

Smart manufacturing powered by AI-led robotics and supply chain optimization

Personalized marketing and consumer analytics in retail

AI-driven mobility and autonomy in automotive industries

Cloud-based AI platforms simplifying deployment for enterprises

Forecast Outlook

The future of the Artificial Intelligence Market is shaped by evolving technologies and increasing enterprise confidence in AI solutions. Continued investment, particularly in cloud infrastructure and open-source AI tools, is expected to democratize access and drive deeper market penetration. As organizations move beyond experimentation to full-scale implementation, AI is poised to become a foundational driver of digital transformation across the global economy.

Access Complete Report: https://www.snsinsider.com/reports/artificial-intelligence-market-2801 

Conclusion

Artificial Intelligence is no longer a futuristic concept—it’s the centerpiece of modern innovation. From revolutionizing diagnostics in Boston hospitals to powering autonomous systems in Berlin, the global momentum behind AI is undeniable. As businesses and governments align to shape an intelligent future, those investing in responsible, scalable, and human-centric AI will lead the next wave of transformation.

Related Reports:

U.S.A Eye Tracking Market set to revolutionize user experience with cutting-edge innovations

U.S.A witnesses rising demand for Endpoint Detection and Response (EDR) solutions amid growing cyber threats

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

Mail us: info@snsinsider.com

[xaltius]

Agentic AI vs GPT: What’s best for Your Business?

The AI revolution is in full swing, and two powerful paradigms are leading the charge: Generative AI (like GPT models) and Agentic AI. While both are built on cutting-edge AI foundations, they serve fundamentally different purposes. Understanding these distinctions is crucial for businesses looking to strategically deploy AI and extract maximum value. It's not about which is "better" overall, but which is "best" for a specific business need.

Let's break down their core differences and help you decide.

Generative AI (GPT-style Models): The Master of Content and Conversation

Generative AI, exemplified by models like OpenAI's GPT series, Google's Gemini, or Anthropic's Claude, excels at creating new content based on patterns learned from vast datasets. They are phenomenal at understanding and generating human-like text, images, code, audio, and even video.

Core Function: Creation, Transformation, and Retrieval of Information.

Best for Your Business If You Need:

Content Generation at Scale:

Marketing: Drafting blog posts, social media captions, ad copy, email newsletters.

Customer Service: Generating detailed FAQ answers, script templates, or personalized customer responses.

Internal Communications: Summarizing meetings, drafting internal memos, creating training materials.

Information Synthesis and Explanation:

Research: Quickly summarizing lengthy reports, academic papers, or market analyses.

Knowledge Management: Creating concise explanations of complex topics, building interactive knowledge bases.

Q&A and Chatbots: Powering conversational interfaces that provide comprehensive answers to user queries.

Code Assistance:

Generating code snippets, debugging existing code, refactoring, or translating code between languages.

Creative Brainstorming:

Generating new product ideas, marketing campaign concepts, or design variations.

Think of GPT-style AI as your ultimate creative assistant, content factory, and conversational knowledge base.

Agentic AI: The Autonomous Task Executor

Agentic AI, or AI Agents, takes AI a significant step further. It's not just about generating information; it's about autonomously understanding a goal, planning a sequence of actions, executing those actions, interacting with external tools and environments, and iterating until the goal is achieved.

Core Function: Autonomous Goal Achievement and Task Automation.

Best for Your Business If You Need:

Automated Multi-Step Workflows:

Sales & Lead Nurturing: An agent could identify potential leads, research their company, draft personalized outreach emails, schedule follow-ups, and update the CRM – all autonomously.

Customer Support: Beyond answering questions, an agent could troubleshoot issues, access customer accounts, initiate refunds, or escalate complex cases by integrating with internal systems.

Complex Problem Solving:

Financial Analysis: An agent could research market trends, analyze company financials, identify investment opportunities, and execute trades based on defined parameters.

Supply Chain Management: An agent could monitor real-time disruptions, dynamically reroute shipments, re-order stock from alternative suppliers, and update inventory systems.

Dynamic Interaction with Tools & APIs:

Agents can connect to and utilize a wide array of existing software (CRM, ERP, ticketing systems, databases, web browsers) to perform tasks that span multiple applications.

Autonomous Research & Development:

An agent could conduct literature reviews, design experiments, run simulations, analyze results, and even propose new hypotheses in scientific research.

Think of Agentic AI as your autonomous project manager, intelligent personal assistant, or automated problem-solver.

The Powerful Synergy: Not Either/Or, But Both

The most transformative AI solutions will increasingly combine both paradigms. An Agentic AI often uses Generative AI as a powerful tool within its workflow:

An agent performing market research might use a GPT model to summarize articles it found via web search.

An agent writing code for a new feature might ask a GPT model to generate a specific function or debug an error.

An agent managing customer support might use a GPT model to draft a empathetic and accurate response before sending it.

Conclusion:

Choosing between Generative AI and Agentic AI isn't about picking a winner, but about understanding your specific business challenge. Do you need to create content, communicate effectively, and synthesize information? GPT-style Generative AI is your powerhouse. Do you need to automate complex, multi-step tasks, interact autonomously with systems, and achieve defined goals? Agentic AI is your strategic solution.

The future of business intelligence and automation lies in leveraging the unique strengths of both, building sophisticated systems where the creative power of generative models fuels the autonomous execution of intelligent agents, delivering unprecedented value.

[toplifetimedeal]

Stock Trading Lifetime Deals in 2025

In a world where stock trading is increasingly powered by AI and modern platforms, these lifetime deals offer traders a chance to lock in value for the long term, eliminating the risk of constant subscription price hikes or feature limitations. But what exactly are lifetime deals in stock trading, and why should you consider them in 2025?

What Are Stock Trading Lifetime Deals?

Stock trading lifetime deals are one-time purchases that provide access to trading tools, software, updates, and sometimes training courses for a lifetime. These deals typically include:

Software: Advanced trading tools to help analyze, execute, and monitor stock trades.

Lifetime Updates: Continuous updates to keep your software on the cutting edge of the market.

Lifetime Support: Access to customer service for troubleshooting and guidance throughout your trading journey.

Training Courses (sometimes included): Resources to help you improve your trading skills.

Lifetime deals are different from traditional subscription models, where users pay recurring fees. With lifetime access, traders pay once and enjoy long-term use of the platform without worrying about renewal costs or subscription plans.

Why Choose Lifetime Deals Over Subscription-Based Platforms?

Cost Benefits: Lifetime deals often cost significantly less than the cumulative cost of a recurring subscription. For traders who are committed to stock trading for the long haul, this one-time payment can be a far more cost-effective solution.

Access to Premium Features: Lifetime deals usually include access to the platform’s full range of features, allowing you to take advantage of everything without additional costs.

Psychological Advantage: Constantly paying monthly or yearly bills can be stressful. With a lifetime deal, you’re free from worrying about those recurring charges.

Continuous Updates: With AI becoming integral to stock trading, platforms offering lifetime deals often provide free updates, ensuring that you stay on top of the latest developments in trading technology.

Example: Platforms like Fox Signals (available on AppSumo) offer lifetime access with continuous updates, while others may rely on monthly subscriptions for premium features.

Top Stock Trading Apps and Platforms Offering Lifetime Deals in 2025

Several platforms are offering lifetime deals, making it easier for traders to access advanced tools and AI-powered features. Here’s a breakdown of some top picks:

Best Stock Trading Apps and Platforms Comparison:

Best Stock Trading Apps Comparison:

Fox Signals has key features for everyone. It gives real-time market signals and predictive analytics to help both beginners and experts. These tools help you make smart choices and react quickly to market changes.

AI-Powered Trading Signals: Our AI operates 24/7, scanning the markets for every trading opportunity and delivering them to you.

Real-time Notifications: Get instant alerts for signals, targets, and outcomes — never miss a chance to trade!

Take the Next Step Easily: Copy signals with ease and unlock your trading potential — bypass the analysis and start succeeding now! Join a Trading Platform: Create your account on Binance or another stock or forex platform. Then, finish the verification process to get ready to trade.

Download Fox Signals: Available on both iPhone and Android. Just download, install, and subscribe to our premium service. There are no hidden fees — only clear access!

Start Trading: When a new signal comes in, follow the Take-Profit (TP) and Stop-Loss (SL) instructions, then sit back and enjoy the profits. Claim Your Fox Signals Lifetime Deals!

Sterling Stock Picker features help you choose the right stocks through advanced analysis. It’s perfect for intermediate to advanced traders, offering alerts on market changes.

Stock analysis based on fundamental, financial, and technical metrics.

Curated database of over 60,000 stocks and cryptos.

Live stock quotes are available 24/7, powered by high-speed API connections.

Cryptanalysis using technical indicators.

Comprehensive stock search based on your risk tolerance.

Stock search that aligns with your values.

Access to weekly market live streams.

Buy/sell stock recommendations via email or text.

Customized portfolio recommendations.

Finley AI: your financial coach.

Customized real-time streaming ticker.

Get stocks with over 50% earnings growth, leading industry results, and a 5-star North Star rating.

Community chat forum for recommendations: most watched and best performers.

Stock price target notifications via email, text, or both.

Customized portfolio, watchlist, dashboard, and news feed.

Track stock performance easily.

Access to insights from top SSP investors.

Harnessing Artificial Intelligence for Stock Trading: Lifetime Access to Cutting-Edge Tools

AI is revolutionizing stock trading by offering predictive insights and automation tools that significantly reduce the complexity of market analysis.

Free vs Paid AI Stock Trading Bots: While some free bots are available, paid versions (often offered via lifetime deals) provide enhanced accuracy, better support, and real-time predictive analytics. Platforms like Fox Signals integrate AI bots that can make automatic trades based on data-driven predictions, helping traders make smarter decisions.

How AI Bots Work: AI bots scan the market 24/7, providing traders with real-time signals, alerts, and predictions based on a wealth of historical data. This allows traders to make more informed decisions faster, without the need for constant manual intervention.

Practical Tips:

Use these AI tools for real-time market analysis.

Regularly check for updates, as AI-powered tools improve with each update.

How to Start Trading Stocks with Lifetime Tools and Software

If you’re new to stock trading, a lifetime deal platform can be the perfect entry point. Here’s how to get started:

Opening Accounts: Sign up on a trading platform that offers lifetime deals and choose a suitable account based on your experience level.

Selecting Platforms: Choose platforms like Fox Signals or Sterling Stock Picker, which offer lifetime access to powerful trading tools.

Using Demo Accounts: Many platforms offer demo accounts where you can practice trades without real financial risk.

Learning the Basics: Enroll in any free courses or use resources available to learn about stock market trading and familiarize yourself with strategies.

Day Trading Stocks and Options with Lifetime Tools

Day trading requires real-time market insights, and using lifetime tools can significantly enhance your trading experience:

Best Stocks for Options Trading: Look for volatile stocks with frequent price changes, as they present profit opportunities.

Risk Management: Lifetime tools often come with advanced risk management features, like stop-loss and take-profit orders, which help limit potential losses.

Understanding Market Timing and Trading Days

Best Times for Trading: Understanding when the stock market is most active (e.g., during market openings) allows you to make better decisions.

Trading Days: Different markets (U.S., EU, Asia) have distinct trading calendars, and knowing these can help you plan your trades effectively.

Cost Efficiency and Value of Lifetime Deals in Stock Trading

Investing in lifetime deals can save you a lot of money in the long run. Consider:

One-Time Investment vs Recurring Fees: While recurring subscriptions may seem affordable at first, the total cost over several years will far exceed the one-time fee for a lifetime deal.

Long-Term Savings: With lifetime updates and support, you’re shielded from future price increases and hidden fees.

Real-Life Success Stories and Testimonials

Case Studies: Many traders have turned a profit by choosing lifetime deals. For example, users of Fox Signals have reported increased accuracy in their trades and better market understanding.

Before and After Scenarios: Traders often see significant improvement in their trading performance after using lifetime tools, as they can make data-driven decisions more effectively.

Conclusion 

Lifetime deals offer long-term value by providing access to advanced trading tools, AI-powered features, and continuous updates without the stress of recurring payments. Evaluate your trading goals and consider the financial savings before purchasing a lifetime deal. Platforms like Fox Signals and Sterling Stock Picker offer excellent tools for both beginners and experienced traders, helping you stay ahead in the stock market.

If you’re ready to elevate your stock trading game, investing in a lifetime deal could be a smart move for your trading journey in 2025.

FAQs About Stock Trading Lifetime Deals

Are lifetime deals worth it for beginners? Yes, especially when you consider the long-term cost savings and access to advanced tools that would otherwise be unaffordable for new traders.

What happens if the platform closes or updates cease? Ensure that the platform has a reliable support system and offers lifetime access with future-proof updates.

Can lifetime deals be upgraded or transferred? This depends on the platform. Some lifetime deals include upgrade options, while others may not.

How to find legitimate lifetime deals? Stick to trusted sources like AppSumo, where you can review verified user feedback and platform details.