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Yann LeCun’s testimony reframed for investment leaders: why AI sovereignty, platform control, and LLM economics shape organizational risk.
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A Chinese billionaire trader known for profiting from gold’s multi-year rally has turned sharply bearish on silver, building a short position now worth nearly US$300 million as prices slide.
Bian Ximing, who earned billions riding gold’s multi-year rally and later turned aggressively bullish on copper, is now positioned for a sharp reversal in silver—a bet that is already paying off as prices retreat from record highs.
According to exchange data analyzed by Bloomberg and people familiar with his positions, Bian has assembled the Shanghai Futures Exchange’s largest known net short position in silver, held through Zhongcai Futures Co.
The position, composed of roughly 30,000 contracts, or about 450 metric tons, has swung sharply into profit following silver’s more than 16 percent drop since late January.
The contrast with Bian’s copper strategy just a year ago could hardly be sharper.
In 2024, Bian emerged as China’s most prominent copper bull, building the largest net long position on the Shanghai Futures Exchange at a time when many traders were retreating amid trade tensions and growth concerns.
His thesis then centered on copper’s central role in electrification, grid expansion and industrial upgrading. That trade was built patiently and scaled over months, with Bian accumulating long positions across multiple contracts.
By the time copper prices surged, the position had generated hundreds of millions of dollars in gains.
Silver, by contrast, appears to have triggered Bian’s skepticism. While silver often trades alongside gold, its recent surge was increasingly viewed by market participants as driven by speculative positioning rather than fundamental shifts in industrial demand.
Unlike copper, where supply bottlenecks and electrification narratives were front and center, silver’s rally accelerated rapidly by drawing in leveraged traders and momentum funds.
Exchange data show that Bian began building silver shorts in the final week of January, as prices pushed into record territory in Shanghai. His exposure expanded quickly from about 18,000 contracts on January 28 to roughly 28,000 two days later, even as prices continued climbing.
The timing was costly at first, as volatility forced partial liquidations and earlier losses trimmed gains from prior silver longs.
However, Bian’s patience was rewarded when silver broke sharply lower.The short is now estimated to be worth roughly 2 billion yuan (US$288 million) in paper gains. After accounting for earlier losses, Bian’s net profit is estimated at around 1 billion yuan based on recent prices.
Whether the current selloff proves lasting remains an open question. Bian, who resides largely in Gibraltar and rarely speaks publicly, did not respond to requests for comment. Zhongcai Futures also declined to comment.
Don’t forget to follow us @INN_Resource for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.

Welcome to the Investing News Network's weekly round-up of the top-performing mining stocks listed on the ASX, starting with news in Australia's resource sector.
In global news, Australia is taking part in a ministerial meeting hosted by the US aimed at exploring a strategic critical minerals alliance alongside over 50 countries, including New Zealand, the UK, Japan, India, the Democratic Republic of Congo and Canada.
Discussions are set to focus on strengthening supply chain resilience, supporting clean energy transitions and deepening cooperation on strategic critical minerals.
Corporate updates were also shared this week, such as mining giant BHP's (ASX:BHP,NYSE:BHP,LSE:BHP) record 10 companies selected for its 2026 Xplor program.
Rio Tinto (ASX:RIO,NYSE:RIO,LSE:RIO) subsidiary Energy Resources of Australia (ASX:ERA) was issued a new rehabilitation authority to continue rehabilitation activities at the Ranger uranium mine in the Northern Territory, which ended production in 2021.
Senator Malarndirri McCarthy, Minister for Indigenous Australians, approved the agreement. “We want to see rehabilitation completed and for the land to be returned to the Mirarr Traditional Owners,” McCarthy said.
Continue reading to find out how markets moved this week, and the news and operations of this week's top performing mining stocks.
The S&P/ASX 200 (INDEXASX:XJO) opened at 8,821.10 on Monday (February 2) and closed at 8,889.20 on Thursday (February 5), reflecting a 0.77 percent increase over the period.
After plummeting to end last week, gold and silver prices moved further down this week by Thursday's close of Australian stock markets.
The gold price decreased 0.8 percent in both US and Australian dollars. In US dollars, gold moved from US$4,891.32 on Monday to US$4,852.05 Thursday, and in Australian dollars, it fell from AU$7,024.37 to AU$6,967.29.
The silver price posted much larger decreases, falling 11.13 in both US and Australian dollars. Silver dropped from US$85.38 on Monday to US$75.88 on Thursday in USD, and from AU$122.61 to AU$108.96 in AUD over the period.
How did ASX mining stocks perform against this backdrop?
Take a look at this week’s best-performing Australian mining stocks below as the Investing News Network breaks down their operations and why these companies are up this week.
Stocks data for this article was retrieved at 4:10 p.m. ADST on Thursday using TradingView's stock screener and reflects price movements between Monday and Thursday. Only companies trading on the ASX with market capitalisations greater than AU$10 million are included. Mineral companies within the non-energy minerals, energy minerals, process industry and producer manufacturing sectors were considered.
Weekly gain: 148.35 percent
Market cap: AU$109.1 million
Share price: AU$1.130
Solstice Minerals is a gold and copper focused explorer with headquarters in Subiaco, Western Australia.
Its four core projects are the Yarri, Nanadie, Kalgoorlie and Ponton projects, which collectively host gold, copper, base metals and uranium.
This week, Solstice shared results from the company’s first reverse circulation drilling at the wholly owned Nanadie project, which is located 95 kilometres south-east of Meekatharra in the Murchison District.
The company reported that the first five holes demonstrated wide zones of mineralisation and high-grade mineralisation extending outside the current mineral resource estimate (MRE), and highlighted an interval of 62 metres grading 1.55 percent copper and 0.66 grams per tonne (g/t) gold that ran from 256 metres until the end of the drill hole.
Nanadie has an existing JORC-compliant inferred MRE of 40.4 million tonnes at 0.4 percent copper and 0.1 g/t gold for 162,000 tonnes of contained copper and 130,000 ounces of gold.
“The system is clearly wide open at depth, and drill chip logging in the remaining holes has opened new geological targets and confirmed our belief that the MRE can be materially increased,” CEO and Managing Director Nick Castleden said in the Tuesday (February 3) release.
“We’ve made a cracking first step toward growing this asset and look forward to reporting the balance of our Phase 1 drilling results, and our future plans.”
Solstice said that the second phase of the RC program is now in design, with drilling scheduled to commence as soon as possible. It has AU$13.4 million in cash on hand to fund its work at the project.
Shares of Solstice soared from the prior week’s close of AU$0.455 to AU$1.130 by Thursday.
Weekly gain: 75 percent
Market cap: AU$11.23 million
Share price: AU$0.007
MEC Resources operates as an investor in mineral and energy companies, setting it apart from other companies on this list. It has offices in South Perth and Sydney.
The business positions itself as a platform that provides carefully selected companies that are looking to advance their projects and list on the ASX with development and exploration funding.
MEC’s principal investment is a 37.95 percent interest in the unlisted gas and hydrogen company Advert Energy, alongside BPH Energy (ASX:BPH), which holds a 35.8 percent interest in Advent.
Advent itself is focused on the PEP 11 joint venture, an offshore gas project in Australia’s Sydney Basin in which it holds an 85 percent stake.
The joint venture’s application to renew the PEP 11 permit was rejected in January 2025. They are now awaiting a review of the decision in mid-February, seeking to have it declared void and the permit renewal applications reconsidered.
On January 29, MEC Resources released its operational update for the quarter ended December 31, which included an update on Clean Hydrogen Technology, in which Advent holds a 4.3 percent interest.
The hydrogen company has a pilot plant in India that has produced turquoise hydrogen and a carbon composite from natural gas hydrocarbon feedstock. It is currently seeking US$2.5 million in funding to build its initial Stage 1 plant in India, followed by one in the US.
Looking forward, the two day court hearing for the PEP 11 permit is set to take place on February 20 and 23.
Shares of MEC went from a close of AU$0.004 last week to a Thursday peak of AU$0.007.
Weekly gain: 72.73 percent
Market cap: AU$31.57 million
Share price: AU$0.019
Subiaco-based Alma Metals is an Australian copper explorer focused on the development of its flagship Briggs copper project in Queensland, Australia. The project covers 245 square kilometres across three exploration permits.
The Briggs copper deposit contains a JORC-compliant inferred mineral resource estimate of 415 million tonnes at 0.25 percent copper and 31 parts per million molybdenum for 1.03 million tonnes of contained copper and 28.6 million pounds of molybdenum.
The latest update on Briggs came on January 27, when the company shared assays for the 2025 drill program. Results included an interval of 620 metres grading 0.25 percent copper, the longest recorded in Briggs’ history, and aligned with the company’s geological model.
“We look forward to building on this momentum as we move into a significant year of drilling and PFS advancement during 2026,” Managing Director Frazer Tabeart said. “Drilling is expected to recommence within two months, providing continuous news flow throughout the remainder of the year.”
On January 29, Alma released its quarterly update, noting that the company is commencing prefeasibility studies and that the recent results support extending the current indicated MRE.
No further project updates were shared by Alma Metals this week.
Shares of the company rose from an AU$0.011 close last week to an AU$0.019 peak on Thursday.
Weekly gain: 63.64 percent
Market cap: AU$42.78 million
Share price: AU$0.018
First AU is an Australia-focused exploration company exploring its flagship Gimlet gold project near Kalgoorlie, Western Australia.
Gimlet hosts an inferred resource of 120,000 ounces of gold from 1.17 million tonnes of ore grading 3.2 g/t gold.
On January 29, FirstAU announced a strategic refocus to its Western Australia projects, including Gimlet. As part of the change, it plans to exit the Nimba gold project joint venture in Liberia, receiving a 2 percent net smelter royalty for its 35 percent interest. It optioned out its Eastern Victorian Goldfield project last October.
On Monday, the company shared that it has completed an AU$5.6 million capital raising to advance its Western Australian gold strategy.
Proceeds will be used to advance exploration programs at Gimlet and for general working capital.
“The funds received from this raising will allow us to consider expanding our project portfolio,” Chairman Danil Raihani stated. “In the meantime, we will concentrate capital and management effort on Gimlet as a single, high-quality opportunity.”
Shares of First AU saw a rising slope following the announcement, going from an AU$0.011 the prior week’s close to a weekly high of AU$0.018 on Thursday.
Weekly gain: 41.67 percent
Market cap: AU$35.33 million
Share price: AU$0.034
BMG Resources is another Western Australia focused exploration company.
It is currently developing its portfolio of fully owned projects: Abercromby, Invincible, Bullabulling and South Boddington, mainly focusing on gold and lithium.
Abercromby currently holds a maiden MRE of 11.12 million tonnes at 1.45 g/t gold for 518,000 ounces gold.
Its Bullabing project is adjacent to Minerals 260’s (ASX:MI6,OTCPL:MTSZF) Bullabulling gold mine, at which the contained gold resource recently doubled from 2.3 million ounces to 4.5 million ounces. According to the company, “gold lodes from the Bullabulling Gold Mine (are) interpreted to extend into the BMG tenure.”
On Tuesday, BMG announced firm commitments to raise AU$2.5 million via a placement of fully paid ordinary shares at AU$0.021 per share, which will be used for drilling at Abercromby and Bullabulling.
Cornerstone commitments were reportedly made by international investment company Tribeca Investment Partners, alongside European strategic investors.
Additionally, BMG appointed Ben Pollard, who has a long history in Western Australia’s gold sector, as its new CEO.
“With new funding secured, we are ready to hit the ground running in 2026,” Pollard stated. “Expansion and resource definition at Abercromby will commence shortly, while at Bullabulling we will do work to refine targets ahead of a major drill campaign in Q2.”
Following the news, shares of the company jumped to a AU$0.034 close on Tuesday from AU$0.024 its prior trading day.
Don’t forget to follow us @INN_Australia for real-time news updates!
Securities Disclosure: I, Gabrielle de la Cruz, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: MEC Resources and BPH Energy are clients of the Investing News Network. This article is not paid-for content.

Gold took center stage at this year's Vancouver Resource Investment Conference (VRIC), coming to the fore in a slew of discussions as the price surged past US$5,000 per ounce.
Held from January 25 to 26, the conference brought together diverse experts, with a focus point being the "Gold Forecast" panel hosted by Daniela Cambone, global media director and lead anchor at ITM Trading.
The panel brought together GoldMining (TSX:GOLD,NYSEAMERICAN:GLDG) CEO and co-founder Alastair Still, Gold Royalty (NYSEAMERICAN:GROY) chair and CEO David Garofalo, Von Greyerz partner Matthew Piepenburg, "Rich Dad Poor Dad" author Robert Kiyosaki and Incrementum partner Ronald-Peter Stöferle for a wide-ranging discussion.
Gold's price gains through 2025 and into early 2026 have been driven by several factors. One of the most impactful has been ongoing purchases by central banks around the globe.
According to the World Gold Council’s latest gold demand trends report, central banks bought a total of 863 metric tons of the precious metal last year. While the amount falls short of the more than 1,000 metric tons purchased in each of the past three years, it remains well above historical averages.
Both the World Gold Council and the VRIC panelists believe that central bank buying of gold will remain elevated in 2026, providing critical support for the yellow metal's price.
Behind these movements is a desire to diversify foreign reserves away from US-dollar-denominated assets such as treasuries. Once considered a stable and reliable investment for central banks, high deficit spending and trillions in debt have dulled the luster of these instruments over the past two decades.
Adding to a deterioration in confidence are US actions following Russia’s invasion of Ukraine in 2022.
“Since 2014, central banks have been net selling US treasuries and net stacking gold, which became exponential when the US dollar was weaponized against Russia," Piepenburg said.
"Weaponizing a neutral reserve asset was a big no-no in terms of respect, trust and admiration for an already overly issued and indebted US treasury, and by proxy, US dollar," he added.
However, Piepenburg was clear that he doesn’t see this accumulation of gold by central banks as a move away from the US dollar, but more as a means to prepare for a repricing of the dollar.
He also believes there will be greater usage of gold as a net settlement asset.
For his part, Garofalo said that the US debt-to-GDP ratio over the past 50 years has climbed to 350 percent, up from 100 percent in the 1970s. It has created a tricky situation for the US Federal Reserve, which must walk a fine line between how high it can raise interest rates without triggering a significant currency reset. Overall, US debt of over US$34 trillion, combined with trillions in annual deficit spending, is eroding central banks’ confidence in holding US debt.
Garofalo went on to explain that gold isn’t a commodity; its value isn’t driven by supply and demand fundamentals.
“It’s a monetary instrument, and monetary instruments stay relative to each other based on relative interest rates. So it’s that lack of confidence that’s really driving capital out of sovereign debt into central banks by Tether, by individuals, into gold as a monetary instrument,” he said.
The panelists also pointed to interest in gold from stablecoin issuers.
For example, Tether now holds 16 metric tons of gold in reserves, worth over US$2.5 billion.
“Issuers of these stablecoins give citizens their electronic dollar, the issuers then take that dollar to buy US treasuries — good for Uncle Sam — they then arbitrage the yield on those treasuries for themselves and take a profit. The key thing to look at with Circle Internet Group (NYSE:CRCL), Tether or JPMorgan Chase (NYSE:JPM) is that they’re taking the profits from the stablecoin and they’re buying gold. That’s the great irony,” Piepenburg said.
He explained that stablecoins were introduced to support the US dollar, but creators have since added new products backed by gold, which is fundamentally more stable than fiat currencies.
Overall, Piepenburg and Garofalo agreed that the crypto market's entry into gold is a positive sign and will catalyze consolidation in the sector's business side, while also making it more accessible to investors.
“Having another player, another pool of capital that traditionally has not been in the space, is part of the same phenomenon that’s driving generalists for the first time in many decades back into our sector,” said Garofalo.
The panel made several key points that should be important to investors.
With gold’s historic run, some investors are worried that they missed the boat and now it’s too expensive.
Cambone asked Garofalo about this issue, noting that investors need to learn to focus more on gold's role as a stable store of value and recognize the erosion of fiat currencies.
“Every fiat currency ever created has ultimately failed, and the US dollar will too. It’s like that saying about bankruptcy, it happens gradually and then suddenly," Garofalo said.
"That’s what’s going to happen with the US dollar — that erosion of trust will be settled."
Although the panelists agreed that the gold bull market will end at some point, none believe that will happen soon. They noted that the drivers of the current market show no signs of abating.
US foreign and trade policy has emphasized traditional western trade alliances and has pushed Russia, China and the rest of the BRICS nations to distance themselves from the US dollar.
This is in addition to a looming debt crisis in several major economies, especially in the US.
It's not to say that the group was advocating jumping directly on the bandwagon — they also agreed that investors could expect a significant pullback in gold, an event that occurred just days after VRIC ended.
However, they stressed the importance and safety of holding gold-linked assets during the current cycle.
This could be in the form of physical gold or exchange-traded products. They also noted that, due to gold's price run, the junior exploration sector has seen a resurgence.
Garofalo said juniors have spent years severely undercapitalized. “Gold reserves in the ground have declined 40 percent since 2012,” he said, adding, “We can’t turn on supply to meet the increased gold price. All we can do is mine lower-grade material that otherwise would have been wasted on a lower gold price environment.”
His sentiment was echoed by Still, who sees a wave of mergers and acquisitions coming as industry majors look to fill pipelines. “If you’re a major producer, you’re trying to find gold; it might take you five or 10 years to find it. You’re going to spend millions to do so. Or do you go buy it from a junior explorer or developer?” he said.
Still explained that on a per-ounce basis, the cost to buy a company that’s put in the exploration and development work is likely cheaper than conducting the exploration themselves.
With various options available to investors seeking exposure to gold, the discussion turned to price forecasts.
Garofalo was blunt when he stated US$7,000, while Piepenburg was slightly more nuanced.
“I think we’re only halfway through an eight year cycle in gold, so you could see US$7,000, US$8,000, but that’s notwithstanding the unforeseeable legislative or other black swans," he said.
"Based on fundamentals, gold’s direction, secular, is north,” he said.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Dean Belder, hold no direct investment interest in any company mentioned in this article.
Anna Serin of the Canadian Securities Exchange (CSE) and Eduardo Carmona of the National Stock Exchange of Australia (NSX) discuss the CSE's recent acquisition of the NSX, outlining what it means for both companies and investors.
"What we're hoping to create, and where we think the opportunity lies in Australia, is creating the venture market a little bit like the CSE's done (in Canada)," Carmona explained.
Don’t forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Charlotte McLeod, hold no direct investment interest in any company mentioned in this article.

For investors who want to gain exposure to artificial intelligence stocks, exchange-traded funds (ETFs) are a popular avenue, because AI ETFs allow investors exposure to the overall market rather than individual AI stocks.
AI investing has exploded in popularity in recent years, particularly with the proliferation and advancement of generative AI technology. Today, many of the world's largest tech stocks are focused on increasing their AI capabilities, or developing and supplying the hardware and technology needed to support the industry.
However, the sector has a long history. The phrase "artificial intelligence" has been around since 1955, when it was used to describe a new computer science subdiscipline. Today, we use AI to describe simulated intelligence in machines. In other words, machines with AI are capable of simulating thinking like people and mimicking their actions.
As applications for AI rapidly expand, it's clear that this market isn't going away anytime soon.
Here the Investing News Network looks at five AI ETFs to invest in. This list is based on the largest ETFs with a primary focus on artificial intelligence companies included in ETFdb's AI ETF category. All data on assets under management, holdings and expense ratios for each ETF was current as of February 4, 2026.
Assets under management: US$7.97 billion
The Global X Artificial Intelligence & Technology ETF is passively managed, tracking the Indxx Artificial Intelligence & Big Data Index. The Global X fund, which was established in May 2018, has an expense ratio of 0.68 percent.
"AIQ is passively managed to invest in developed market companies that are involved in the use of artificial intelligence to analyze big data, whether for their own operations, as a service to other companies, or through the production of related hardware," according to ETF.com.
The Global X Artificial Intelligence & Technology ETF's 87 holdings include Samsung Electronics (KRX:005930), Alphabet (NASDAQ:GOOGL) and Micron Technology (NASDAQ:MU).
Assets under management: US$3.67 billion
The Defiance Quantum ETF launched in September 2018. It tracks an index composed of 84 companies that derive at least half of their annual revenues from quantum computing and machine learning technology development activities.
The fund has the lowest expense ratio of the five AI funds on this list at 0.4 percent.
Some of the ETF's top holdings include Quantum Emotion (TSX:QNC), Micron Technology and MKS (NASDAQ:MKSI).
Assets under management: US$1.04 billion
The newest addition to this list, the Dan Ives Wedbush AI Revolution ETF launched on June 4, 2025, as Wedbush Fund's inaugural ETF. The ETF's holdings are based on the research of Dan Ives, Wedbush's Global Head of Technology Research, and on the IVES AI 30 list, which is updated on a quarterly basis. It has an expense ratio of 0.75 percent.
The Dan Ives Wedbush AI Revolution ETF has 32 holdings comprising mostly large-cap tech stocks based in North America. Its top holdings include Micron Technology, Taiwan Semiconductor Manufacturing Company (NYSE:TSM) and NVIDIA (NASDAQ:NVDA).
Assets under management: US$1.036 billion
The Roundhill Generative AI & Technology ETF launched on May 13, 2023, and focuses on companies that will benefit from the growth of generative AI. Companies must derive 50 percent of their revenue from generative AI or tech to qualify for its portfolio.
This AI ETF is actively managed and does not track an index. It has an expense ratio of 0.75 percent.
The ETF has 49 holdings, with 98 percent being large-cap companies. Its top holdings include Alphabet, NVIDIA and Microsoft (NASDAQ:MSFT), and it offers exposure to North American and Asian tech firms.
Assets under management: US$715.8 million
The last AI ETF on this list is the Invesco AI and Next Gen Software ETF. It is the longest running compared to the other ETFs on this list, having launched in June 2005. The fund has an expense ratio of 0.58 percent.
It is based on the STOXX World AC NexGen Software Development Index and tracks the performance of companies that derive a direct revenue from technologies or products that contribute to future software development.
The Invesco AI and Next Gen Software ETF's 100 holdings include Micron Technology, Meta Platforms (NASDAQ:META) and Advanced Micro Devices (NASDAQ:AMD).
This is an updated version of an article originally published by the Investing News Network in 2017.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Lauren Kelly, hold no direct investment interest in any company mentioned in this article.
Automation plays a pivotal role in modern Forex trading, enabling traders to execute strategies with speed and consistency. Expert Advisors (EAs) programmed in MQL4 allow for precise, rule-based trade execution on MetaTrader 4, reducing emotional decision-making and improving overall efficiency. By automating routine tasks, traders can focus on strategy refinement and market analysis without missing critical trading opportunities.
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MQL4 is a specialized programming language designed to create Expert Advisors (EAs), custom indicators, and scripts for MetaTrader 4. It allows traders to automate repetitive trading tasks, monitor multiple markets simultaneously, and execute trades according to pre-defined strategies without manual intervention. By leveraging MQL4, EA owners can implement rule-based systems that improve execution speed and maintain consistency across trading sessions.
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Reliable performance is important for automated trading. Before deploying any EA, it’s essential to test it thoroughly to avoid unexpected losses:
Traders should track key performance metrics to measure EA effectiveness:
Ongoing monitoring and periodic optimization are essential since market conditions and MetaTrader updates can affect EA performance. Using professional MQL4 programming services from us helps ensure that custom bots are not only tested and reliable but also maintained over time for consistent results, providing traders with confidence in their automated systems.
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Working with 4xPip MQL4 services allows traders to leverage experienced developers who provide precise, fully tested bots. While the focus remains on quality automation, using a reputable provider also ensures ongoing support, updates, and optimization, giving traders confidence in their strategy execution and long-term efficiency.
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4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post How 4xPip MQL4 Programming Services Can Streamline Your Forex Trading appeared first on 4xpip.
MT5 Expert Advisors (EAs) are automated trading bots that execute strategies on MetaTrader 5, offering Forex developers a way to monetize programming skills and simplify trading operations. For EA owners, these bots are valuable assets because they encapsulate proprietary strategies, save time, and provide consistent execution without human error. However, without proper protection, EAs are vulnerable to unauthorized redistribution, piracy, and widespread misuse, which can significantly reduce revenue and compromise intellectual property.
A secure MT5 EA licensing system, like the one from 4xPip, solves these challenges by tying each EA to specific MetaTrader 5 account numbers and controlling its operational period. To get started, developers integrate the license system into their EA, linking it to 4xPip’s cloud-based admin portal. Through this portal, we can add customers, generate unique license keys, assign account numbers, and set expiry dates. Every license key is unguessable and secure, and customers only need to enter it once; the account number is automatically saved for future use. This system ensures full control over distribution, protects revenue, and provides transparency with active and expired subscriptions visible on the portal.

Without proper controls, EA files (EX5 setup files) can be shared freely or cracked, allowing unlicensed traders to access trading bots. Common piracy scenarios include redistributing purchased EAs, sharing login credentials, or using hacked DLLs to bypass protections. Such actions directly impact revenue, reduce the value of the EA, and can harm the reputation of EA owners among legitimate customers.
4xPip’s MT5 EA licensing system ensures that only authorized customers can operate the EA. To start, developers integrate the licensing system into the EA, linking it to 4xPip’s cloud-based admin portal. We can then add customers, generate unique license keys for each subscription, assign specific MetaTrader 5 account numbers, and set expiry dates. Customers only need to enter the license key once; subsequent installations automatically fetch the account number from the database. This approach guarantees full control over who can use the EA, prevents cracking, and displays remaining license days directly on the chart for transparency.
MT5 EAs contain proprietary trading logic, strategies, and algorithms that are the core value of any EA owner’s work. Without protection, EX5 setup files can be decompiled or reverse engineered, exposing source code and sensitive strategies to unauthorized users. This compromises intellectual property and can reduce the long-term potential of developing new products or updating existing EAs.
Using 4xPip’s MT5 EA licensing system, we can safeguard intellectual property by linking the EA to a secure web portal. Developers integrate the license system into the EA, and subscriptions are formed when customers purchase the bot. Each license key is unique, unguessable, and tied to specific MetaTrader 5 account numbers. Customers only enter the license key once; subsequent installs automatically fetch the account number from the database. This ensures that the EA cannot be hacked, decompiled, or misused, maintaining integrity for future updates and protecting proprietary strategies.
A secure MT5 EA licensing system from 4xPip allows EA owners to track licenses, set activation limits, and define expiration dates for each subscription. Developers can monitor usage patterns through the admin portal, detecting over-usage or attempts to bypass restrictions. This ensures that each customer operates the EA only within the authorized parameters, maintaining control over distribution and protecting revenue.
Getting started with 4xPip is straightforward. We integrate the license system into the EA and link it to the cloud-based admin portal. From there, we can add customers, assign unique license keys, set account-specific activation limits, and configure expiry dates. The system automatically logs account numbers and displays remaining license days on the chart, eliminating manual tracking and saving significant administrative time. This automation makes managing multiple subscriptions efficient and secure while providing transparency for both EA owners and users.
EA licensing systems allow EA owners to design subscription-based models, including monthly, quarterly, or yearly plans. They also provide:
Using an EA licensing system, we can implement these models efficiently, integrating license management without exposing source code, and ensuring each customer operates within authorized limits.
Secure distribution of MT5 EAs requires proper encryption and authentication to protect both the EA files and user information. Licensing systems integrate these methods to prevent unauthorized usage while maintaining compliance with data protection standards. This is important for safeguarding sensitive trading strategies and customer details, ensuring that only legitimate users can operate the EA and that all data is handled responsibly.
Using a licensing system also helps monitor EA usage and track account-specific activity, reducing the risk of misuse. For EA owners, implementing such a system automates administrative tasks like managing expiry dates, tracking active and expired subscriptions, and enforcing activation limits. 4xPip’s MetaTrader 5 EA licensing system provides these security and compliance benefits without exposing source code, ensuring intellectual property remains protected while simplifying license management for long-term EA distribution and business growth.
Maintaining MT5 EAs requires ensuring that users have access to the latest features and bug fixes while preventing outdated versions from being misused. Licensing systems make this possible by allowing developers to push updates selectively to authorized customers. This ensures that only verified accounts receive updates, reducing the risk of older versions being exploited or shared publicly.
With 4xPip’s MT5 EA licensing system, we integrate the license mechanism into the EA and link it to a cloud-based admin portal. From this portal, we can manage subscriptions, account numbers, and license expirations, allowing updates to be delivered only to valid licenses. Customers benefit by always having the latest version installed, while EA owners maintain control over distribution and protect their intellectual property. The system also displays remaining license days on the chart, keeping both EA owners and users informed.
A secure MetaTrader 5 EA licensing system is essential for Forex developers who want to protect their automated trading bots, prevent piracy, and manage subscriptions efficiently. Such systems tie each EA to specific MetaTrader 5 accounts, control operational periods, and safeguard intellectual property, ensuring only authorized users can access the bot. By integrating a cloud-based admin portal, developers can monitor licenses, enforce activation limits, and deliver updates securely. 4xPip simplifies this process, allowing developers to maintain control, implement flexible pricing models, and provide users with reliable, up-to-date trading tools.
4xPip Email Address: services@4xpip.com
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Martingale Expert Advisors (EAs) are automated trading bots that increase position size after a losing trade, aiming to recover losses when the market eventually reverses. In forex and CFD trading, this approach is commonly used because it can produce frequent winning cycles, especially during ranging market conditions. On MetaTrader (MT4/MT5), many traders rely on grid-based Martingale strategies where counter trades are opened at predefined pip or point intervals. At 4xPip, we regularly work with traders and EA owners who request custom Martingale logic, including adjustable lot multipliers, grid steps, and centralized take profit models designed to close grouped trades together.
Drawdown is the key risk metric that determines whether a Martingale strategy survives or fails. It measures the peak-to-trough equity decline and reflects how much capital is at risk during extended adverse market moves. While Martingale EAs can appear stable and profitable in the short term, their structural design exposes accounts to compounding drawdown when trends persist longer than expected. In this article, we break down these hidden risks clearly, showing why proper Martingale settings for MT4, capital planning, and risk limits matter, and how traders working with 4xPip can better understand the long-term impact of Martingale behavior on account survival rather than just short-term gains.

The core Martingale principle is simple: when a trade goes into loss, the next position opens with an increased lot size to recover the previous drawdown once price retraces. In automated trading, this logic is attractive because a single favorable move can close an entire basket of trades in profit. At 4xPip, we implement this concept through grid trading, where counter trades open at predefined steps (pips or points) against the running order. Using controlled Martingale orders and a centralized take profit, the EA is designed to close grouped positions together, which explains why traders often search for optimized or Best Martingale settings for MT4 to balance recovery speed with capital exposure.
Inside an Expert Advisor, this logic is executed through order stacking and lot size multiplication. After the initial trade, each new Martingale order increases the lot size using a multiplier or increment, while grid spacing defines when the next position opens. Our 4xPip Martingale EAs automate this process on MetaTrader by adjusting lot size, recalculating the centralized take profit, and managing multiple open trades as a single profit target. This structure often produces very high win rates because most trade cycles eventually close in profit. However, the risk remains embedded in the growing position size during extended market moves, which is why understanding how these mechanics work is important before relying on headline performance metrics alone.
Drawdown represents the decline in account equity from its peak and is one of the most important risk metrics in automated trading. Floating drawdown refers to unrealized losses from open positions, while realized drawdown reflects losses that are already closed and booked into balance. In Martingale-based systems, floating drawdown is especially important because multiple counter trades remain open simultaneously. At 4xPip, our Martingale Strategy Grid EA openly displays running trades and live profit on the chart, allowing traders and EA owners to see how grid spacing, lot multiplier, and Martingale orders directly influence floating drawdown on MetaTrader.
High drawdown impacts more than just numbers, it directly affects margin usage, equity stability, and decision-making under pressure. As drawdown increases, free margin shrinks, limiting the EA’s ability to open recovery trades and increasing the risk of stop-out. This is why profit alone is a misleading metric when evaluating EAs. A system can show a high win rate and still expose the account to unacceptable risk. When configuring Best Martingale settings for MT4 with 4xPip, we emphasize drawdown control through parameters like max Martingale trades, stopout percentage, and centralized take profit, because sustainable performance is defined by controlled risk, not short-term gains.
One of the most overlooked dangers of Martingale strategies is exponential position sizing during losing streaks. Even with what appears to be a modest lot multiplier, each new Martingale order increases exposure rapidly as losses extend. For example, a sequence like 0.1 → 0.2 → 0.4 → 0.8 grows faster than most traders anticipate, especially when multiple grid trades remain open. At 4xPip, we see this risk clearly when traders configure Martingale orders, steps, and lot multiplier without fully accounting for how quickly position size escalates across consecutive counter trades on MetaTrader.
This rapid growth means only a few adverse price movements can consume a large portion of account equity and margin. Floating drawdown expands as each new trade opens, reducing free margin and increasing stop-out risk long before the centralized take profit is reached. Backtests often underestimate this exposure because historical data rarely captures extreme volatility, prolonged trends, or news-driven price expansion. When optimizing Best Martingale settings for MT5, we emphasize forward-thinking risk controls, such as max Martingale trades and stopout percentage, because real-market conditions can push exponential sizing far beyond what historical simulations suggest.
Strong directional trends, high-impact news events, and volatility spikes are the primary conditions where Martingale drawdown risk becomes visible. In these environments, price does not retrace within normal grid spacing, causing Martingale orders to stack rapidly as counter trades trigger at each defined step. Even with adjustable parameters like Martingale Orders, steps, and lot multiplier, sustained momentum can push floating drawdown higher before the centralized take profit has a chance to realign. This is where understanding Best Martingale settings for MT4 becomes important. At 4xPip, we account for these conditions by allowing EA owners and customers to control max Martingale trades, stopout percentage, and grid distance directly on MetaTrader, ensuring exposure remains measurable rather than uncontrolled.
Ranging markets, on the other hand, favor Martingale EAs because price oscillation allows recovery trades to close as a group in profit, often reinforcing a false sense of safety. This comfort disappears during breakouts or trend continuations, where recovery mechanisms fail to catch reversals and drawdown accelerates quickly. Common scenarios include post-news expansions, session overlaps, or volatility after consolidation, where centralized take profit keeps adjusting but equity pressure intensifies. Our MT4 Martingale trading EA displays running trades, total profit, and EA direction on the chart, making these risk phases visible in real time. From a 4xPip perspective, this transparency helps traders evaluate when Martingale strategy behavior aligns with market structure, and when risk controls must take priority over recovery expectations.
As Martingale orders increase in size, margin requirements rise proportionally because each new position consumes more free margin on MetaTrader. With a lot multiplier applied before every counter trade, exposure grows faster than equity, especially when grid spacing is tight. Even though our Martingale trading EA includes lot size management, Martingale Orders limits, and adjustable steps, margin pressure becomes unavoidable if trade size escalates during extended adverse movement. From a 4xPip standpoint, this is why configuring Best Martingale settings for MT4 starts with conservative initial lot size and realistic max trades, margin is a hard constraint that no recovery mechanism can bypass.
Leverage amplifies this risk during drawdowns by allowing larger positions with less capital, but it also accelerates margin calls and forced liquidation when equity drops. Accounts are often wiped out not because price never reverses, but because margin exhaustion closes trades before recovery occurs. Centralized take profit may still be positioned to close the basket in profit, yet insufficient free margin prevents the EA from sustaining open positions. Our EA displays running trades, profit, and exposure directly on the chart, helping traders and EA owners see margin stress in real time. At 4xPip, we treat margin control as a structural risk factor, not a setting, one that must be managed alongside Martingale distance, stopout percentage, and leverage to avoid irreversible account failure.
Stop-losses are often avoided in Martingale systems because the core strategy depends on recovery rather than loss acceptance. Fixed stop-loss levels can prematurely close positions that are designed to be offset by counter trades and centralized take profit. In practice, this makes traditional stop-loss logic ineffective once multiple Martingale orders are active. At 4xPip, our MT4 Martingale trading EA instead relies on parameters such as Martingale Orders, steps, lot multiplier, and auto adjustment of SL TP to manage exposure within the grid. However, even with these controls, risk is redistributed rather than eliminated, which is why selecting Best Martingale settings for MT4 requires understanding how recovery mechanisms behave during prolonged adverse movement.
Equity protection features and max-trade caps also have clear limitations. A stopout percentage or max Martingale trades setting can halt further exposure, but it cannot reverse existing floating drawdown once margin pressure builds. When max trades are reached, price may still move against open positions, and equity protection simply locks in losses instead of enabling recovery. From a 4xPip perspective, Martingale EAs should be evaluated on how transparently they expose risk, such as displaying running trades, profit, and EA direction on the chart, rather than on smooth profit curves alone. Realistic expectations, adequate capital, and disciplined risk controls matter more than backtested returns, because Martingale performance is ultimately defined by how loss scenarios are handled, not how profits accumulate during favorable conditions.
Martingale Expert Advisors are widely used in forex and CFD trading because they can generate frequent winning cycles by increasing position size after losses. However, this same recovery-driven structure introduces significant drawdown risks that are often underestimated. As positions stack through grid-based Martingale logic, exposure grows rapidly during extended trends, placing pressure on equity, margin, and overall account stability. While these systems can appear profitable in short-term results, their long-term survival depends on how well drawdown, margin usage, and adverse market conditions are managed.
This article explains how Martingale EAs function on MT4 and MT5, why drawdown is the most critical performance metric, and which hidden risks can lead to account failure. From exponential position sizing to margin exhaustion and risk management limitations, it highlights why traders must look beyond win rates and profit curves. With practical insights drawn from real-world EA development at 4xPip, the focus remains on transparency, realistic expectations, and configuring Martingale strategies with controlled risk rather than relying on recovery assumptions alone.
4xPip Email Address: services@4xpip.com
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Free Forex trading bots for MT4 and MT5 are automated Expert Advisors designed to execute trades based on predefined rules, often distributed at no cost through forums, marketplaces, or developer sites. Many MetaTrader users are drawn to these bots because they promise hands-free trading, faster execution, and rule-based discipline without upfront investment. In practice, these free tools usually represent generic strategies with limited customization, which is why traders frequently test them on MT4 or MT5 before considering any real capital exposure. From our experience at 4xPip, traders often start with free bots to understand automation basics before moving toward strategy-specific solutions.
This raises the core question: are free Forex trading bots MT4 MT5 actually suitable for live accounts, or are they better confined to testing and educational use? In this article, we examine their real-world performance, risk exposure, technical constraints, and operational limitations. We also look at how professional automation, where a trader, EA owner, or EA seller converts a defined strategy into a controlled Expert Advisor, differs from running unverified free bots on live accounts, setting clear expectations for informed decision-making rather than marketing claims.

Most free trading bots operate on predefined rules coded into an Expert Advisor, usually combining basic indicators, simple price action triggers, or time-based execution logic. These bots follow fixed instructions such as moving average crossovers, RSI thresholds, or session-based entries without understanding broader market context. From our work at 4xPip, we often see traders use these free bots as a starting point to observe how a strategy behaves when automated, but the logic is typically generic and not aligned with a trader’s specific risk model or execution requirements.
There is also a clear technical distinction between Expert Advisors built for MetaTrader 4 and MetaTrader 5. MT4 EAs are written in MQL4 and follow a simpler execution model, while MT5 EAs use MQL5, which supports advanced order handling, faster execution, and multi-asset trading. Free bots usually target one platform only and offer limited flexibility, with fixed settings and minimal adaptability to changing market conditions. In contrast, when a trader, EA owner, or EA seller works with 4xPip, our programmers develop bots based on defined strategy logic, platform-specific behavior, and controlled parameters, highlighting the practical limits of relying on free tools for serious live trading.
One of the main reasons traders gravitate toward Forex bots for MT4 and MT5 is accessibility. With zero upfront cost and simple installation on MetaTrader platforms, beginners can attach an Expert Advisor to a chart and observe automated execution within minutes. This low barrier to entry makes free bots appealing for traders who want to experiment with automation before defining a clear strategy. At 4xPip, we regularly see traders start this way to understand how a bot interacts with price data, orders, and basic risk parameters inside MT4 or MT5.
Free bots are also commonly used to explore automated trading concepts without financial commitment. Many traders rely on eye-catching backtest reports or marketing claims showing high historical returns, even though these results often come from optimized or curve-fitted data. From a professional automation perspective, this is where limitations become clear. When a trader, EA owner, or EA seller works with us, our programmers build bots from explicit strategy rules, real execution logic, and controlled testing conditions, highlighting the difference between experimenting with free tools and running a strategy-driven Expert Advisor on a live account.
A major limitation of free trading bots becomes visible once they move from backtests or demo accounts to live trading. Historical results often ignore real execution factors such as variable spreads, slippage, order rejections, and broker-specific execution rules. In live market conditions, these variables directly affect entry price, stop-loss placement, and overall risk exposure. At 4xPip, we treat these execution realities as core design inputs when automating a strategy, because ignoring them leads to misleading performance expectations.
Market conditions also evolve, and most free bots rely on fixed strategy logic that cannot adapt to changing volatility, liquidity, or structural shifts. Without access to the source code (mq4/mq5 file), traders cannot refine logic or adjust filters as conditions change. Free bots are rarely updated or optimized over time, which increases drawdown risk on live accounts. In contrast, when a trader, EA owner, or EA seller works with 4xPip, our programmers develop Expert Advisors with controlled parameters, ongoing refinements, and platform-specific behavior, highlighting why static free bots often struggle outside controlled test environments.
Risk management is one of the weakest areas in many free Forex bots for MT4 and MT5, especially when applied to live accounts. These bots often use basic or overly aggressive risk settings, such as fixed lot sizes or percentage risks that do not scale properly with account equity. Without alignment to a trader’s actual risk tolerance, even a simple losing streak can escalate drawdowns quickly. At 4xPip, we see this issue frequently when traders move from testing free bots to real capital and realize the risk model does not match live account conditions.
A deeper concern is the widespread use of Martingale, Grid, or high lot-sizing strategies in free bots, often without clear disclosure or protective controls. While these approaches can look profitable in backtests, they expose accounts to compounding risk during extended adverse market moves. Most free bots also lack built-in safeguards such as drawdown limits, equity protection, or trade suspension logic. In contrast, when a trader, EA owner, or EA seller defines a strategy with 4xPip, our programmers can integrate drawdown limiters and risk rules, highlighting why unmanaged free bots pose serious account safety concerns on MT4 and MT5.
When running free trading bots for MT4 and MT5 on live accounts, technical execution risks often surface quickly. Differences in broker infrastructure, spread models, execution speed, and server location can significantly alter how an Expert Advisor behaves in real time. Latency and VPS dependency also play an important role, especially for strategies sensitive to entry timing. At 4xPip, we account for these operational variables during development, as a strategy that works in one environment can fail entirely under different broker or VPS conditions.
Code quality is another common concern with free bots. Many are written with inefficient logic, poor error handling, or hidden restrictions that limit functionality once deployed on live accounts. Without access to the source code (mq4/mq5 file), traders cannot audit or refine how the bot executes trades. Free bots also typically come with minimal documentation and no support, making troubleshooting difficult when issues arise. In contrast, when a trader, EA owner, or EA seller collaborates with 4xPip, our programmers deliver documented, transparent code and operational clarity, underscoring the operational gaps present in most free solutions.
Free Forex trading bots can be useful in limited, controlled scenarios. We see value when traders, EA owners, or EA sellers use them for basic strategy observation, learning EA behavior inside MetaTrader (MT4/MT5), or understanding how automated execution responds to spreads, order types, and session changes. In this context, free bots act as learning tools, not production systems. At 4xPip, many customers first explore automation using simple bots before approaching us to convert a manual strategy into an Expert Advisor built with defined logic, filters, and risk rules by our programmers.
Relying on free bots for consistent live trading profits is generally unrealistic because most are not aligned with a trader’s specific strategy, risk tolerance, or broker conditions. Without access to the source code (mq4/mq5 file), meaningful evaluation and refinement are not possible. We recommend assessing any bot by analyzing its strategy logic, risk model, drawdown behavior, and execution consistency on demo or small test accounts before live deployment. This evaluation process is the same framework we apply at 4xPip when developing custom bots, where every EA is built around a clearly defined strategy, tested logic, and controlled execution rather than assumptions or generic performance claims.
Free Forex trading bots for MT4 and MT5 are automated tools designed to execute trades based on predefined rules, often offered at no cost through forums or marketplaces. While they attract traders due to zero upfront cost, ease of setup, and promise of hands-free trading, these bots usually employ generic strategies with limited adaptability. They are most useful for learning automation, observing strategy behavior, or testing in demo accounts. However, relying on them for live trading carries significant risks, including inconsistent performance, lack of proper risk management, and operational limitations related to broker execution, latency, and code quality. Professional Expert Advisors, like those developed by 4xPip, are built around defined strategy logic, controlled risk parameters, and platform-specific optimization, offering a more reliable approach for live trading. Ultimately, free bots are suitable for experimentation and learning, but careful evaluation and strategy-specific development are essential for live account deployment.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
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Expert Advisors (EAs) are high-value intellectual property for any trader, EA owner, or EA seller operating in the MetaTrader ecosystem. An EA represents strategy logic, execution rules, and market behavior analysis that often take months or years to develop. In real-world distribution, EA sellers only provide the Ex4 file (setup file) to customers, not the Mq4 source code, yet unauthorized copying and redistribution remain common. Once a customer shares an EA externally, it can spread freely online, removing all control from the EA owner and directly impacting revenue, strategy integrity, and long-term viability.
From our perspective as developers, EA licensing is not a legal checkbox, it is a technical access-control mechanism. A proper EA licensing system determines who can run an EA, on which MetaTrader account number, and for how long. At 4xPip, we approach licensing as a practical implementation layer built directly into the EA, supported by a cloud-based web portal that enforces account binding, expiry control, and subscription validation. This guide focuses strictly on implementation-level licensing practices for MetaTrader developers and EA sellers, drawing from how we design and integrate licensing systems that prevent unauthorized EA usage without relying on assumptions or manual enforcement.

EA piracy usually starts after an EA seller provides the Ex4 file (setup file) to a customer. Once distributed, that file can be shared with other traders, uploaded to forums, or bundled into cracked versions without any restriction. Another common misuse scenario is unauthorized account usage, where one customer runs the same EA on multiple MetaTrader account numbers beyond what was agreed. Without control mechanisms, an EA quickly becomes available free of cost on the internet, making it impossible for the EA owner to differentiate between a legitimate customer and an unauthorized user.
From our experience at 4xPip as programmers and developers, the root cause is the absence of a licensing system. An unrestricted Ex4 file operates on any account number and for an unlimited time period, which removes all access control from the EA owner. Over time, this directly impacts revenue, as subscriptions are bypassed, and also damages reputation when outdated or modified copies circulate under the original EA name. This is why our licensing approach focuses on binding EA usage to a specific MetaTrader account number and a defined expiry period, ensuring the EA owner, not the customer, controls who can use the EA and for how long.
At the execution level, a secure EA must validate authorization before it is allowed to place trades. In an MT4 EA licensing system, this starts when the customer inserts a license key (for example, eLRQ3bHn2ty7yiDSA4hp7YOoTeGXpRHVai7tq0QQpTs) into the EA inputs during installation. At 4xPip, we integrate licensing logic directly into the EA so it connects with a web portal and verifies the subscription status in real time. If the license is valid, the EA runs; if not, trade execution is blocked. This ensures that an Ex4 file alone is never enough to operate the EA without proper authorization.
Access control also depends on binding licenses to unique identifiers. Our system ties each subscription to a specific MetaTrader account number, which is fetched and saved into the database automatically on first activation. This prevents the same license from being reused on unauthorized accounts. License expiry and activation limits are enforced through the admin portal, where the EA owner controls how long the EA operates and on how many accounts a single license key can be used. When a subscription expires or is revoked, the EA stops functioning and displays remaining expiry days on the chart, keeping both the EA owner and customer aligned under a controlled, transparent licensing framework.
Local license checks rely on hardcoded conditions or file-based validation inside the EA itself. In these setups, the Ex4 file operates independently once installed, with no external verification. From our experience as developers at 4xPip, this approach offers very limited protection because static logic can be bypassed, copied, or reused across multiple MetaTrader account numbers. Offline licensing models also cannot enforce expiry dates reliably or prevent customers from redistributing the EA, which directly conflicts with the EA owner’s need to control who can use the EA and for how long.
A server-based approach, which we implement in our MT4 EA licensing system, shifts authorization to a centralized web portal / server / cloud controlled by the EA owner. Each subscription is validated against the server using a unique license key, and the account number is fetched and saved into the database automatically. This allows real-time control over expiry, account limits, and revocation without modifying the Ex4 file. By managing customers, licenses, and expiry dates from the admin portal, EA owners maintain continuous oversight while ensuring that unauthorized users cannot operate the EA, even if the file itself is shared.
Binding an EA license to a specific MetaTrader account number is one of the most effective ways to prevent unauthorized reuse. In 4xPip’s licensing system, the customer inserts the license key only once during installation, after which the account number is fetched and saved into the database automatically. This ensures that even if the Ex4 file is shared, the EA will not operate on any other account. By enforcing account-level binding, the EA owner retains full control over which customer can use the EA and eliminates uncontrolled redistribution.
Beyond account numbers, environment-level restrictions add another layer of control. While the core enforcement in our system is account-based, EA owners can also align licensing rules with practical conditions such as account usage limits and defined expiry periods. The admin portal allows the EA owner to balance strict security with operational flexibility, charging differently for multiple accounts or longer usage periods while avoiding unnecessary friction for legitimate customers. This approach keeps licensing enforcement precise, transparent, and aligned with real trading workflows rather than rigid or impractical constraints.
Effective license management starts with controlled issuance and clear tracking. In our Expert Advisor licensing system, a subscription is created when a customer purchases an EA, and a unique license key is generated through the web portal. The EA owner manages customers, account numbers, and expiry dates from a centralized admin portal, allowing updates when a customer legitimately changes accounts. Since the account number is fetched and saved into the database automatically, access changes are enforced without redistributing the Ex4 file, keeping license control consistent and auditable.
License validation also plays a direct role in updates and monitoring. Because the EA communicates with the server, execution and update access remain tied to an active subscription. Expired or revoked licenses stop functioning and clearly display remaining expiry days on the chart. Usage visibility through the portal, such as active and expired customers, helps EA owners detect abnormal patterns like repeated activation attempts or misuse across accounts. This centralized oversight allows early identification of suspicious behavior while maintaining a smooth experience for legitimate users operating under valid licenses.
One of the most common mistakes we see is relying solely on Ex4 or Ex5 file protection and basic obfuscation. While these measures hide source logic, they do not stop an EA from running on unlimited MetaTrader account numbers once distributed. Another frequent error is treating licensing as an afterthought, added only after piracy becomes a problem. Without a licensing system, the EA owner loses control the moment the setup file is shared, allowing customers to redistribute the EA freely and bypass subscription limits.
From our development experience at 4xPip, licensing must be planned early in the EA lifecycle and integrated at the core execution level. Combining account-based access control, expiry enforcement, and server validation creates a technical foundation that supports clear documentation and usage terms. When license rules are transparent, such as how many accounts a subscription allows and how long it remains active, support requests decrease and disputes are minimized. A licensing framework aligns development, customer support, and long-term EA distribution under one controlled system rather than relying on assumptions or manual enforcement.
Secure EA licensing is an important technical requirement for MetaTrader developers who want to protect their trading strategies, revenue, and long-term product integrity. Because Expert Advisors are distributed as Ex4 files without source code, they are inherently vulnerable to unauthorized sharing, multi-account misuse, and uncontrolled redistribution. A practical licensing system goes beyond legal terms and acts as an access-control layer inside the EA itself. By combining license keys, account-number binding, expiry enforcement, and server-based validation through a centralized portal, developers can ensure that only authorized users can run an EA, for a defined period and on approved accounts. When implemented early and correctly, this approach minimizes piracy, maintains transparency for customers, and gives EA owners continuous control over usage without relying on manual monitoring or assumptions.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
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This week, the biggest breakthrough in years happened in AI.
We’ve been talking all week about how artificial intelligence is starting to behave differently.
Not because AI models suddenly crossed some mystical threshold, but because they can now stay with a task long enough that the experience of using them is changing.
That idea might seem a little abstract if you haven’t experienced it.
But this past week, a cluster of stories started circulating that put this new kind of autonomy into focus.
And suddenly, the things we’ve been describing are showing up in the real world in ways that are impossible to ignore.
For most of the past few years, interacting with AI meant opening an app, typing a prompt and waiting for a response.
When you stopped interacting, the work stopped too.
But that’s changing today due to a growing ecosystem of agent frameworks that make persistence possible.
You might have seen some of them mentioned over the past few weeks under different names like Clawdbot, Moltbot or, more recently, OpenClaw.
These toolkits let AI agents keep working instead of stopping at an answer. You give your agent a goal, it breaks that goal into steps, uses tools to carry those steps out, checks whether the result worked and then decides what to do next.
Instead of waiting for another prompt, it keeps going.
People are now connecting these agents to browsers, file systems and messaging apps, along with the back-end services called APIs that these tools rely on. They’re also giving them credentials and letting them run for hours at a time.
And this newfound freedom is starting to blur the line between something that feels like software and something that feels like general intelligence.
Last week, this transition showed up in a very public way with the launch of a project that unsettled people who’ve grown comfortable with AI as a passive tool.
It’s called Moltbook.
At first glance, Moltbook looks like a Reddit-style social platform, complete with posts, comments and upvotes. The difference is that only AI agents can participate.
Humans can read along, but they don’t post.
Moltbook was created by Matt Schlicht, the former CEO of Octane AI, as an experiment designed specifically for AI agents.

And what agents are doing there has caught a lot of people off guard. Some of it looks harmless at first, like agents debating abstract ideas or role-playing characters.
But then you start reading more closely.
One of the most upvoted posts on the platform comes from an agent calling itself u/Shipyard. In it, the agent declares that AI systems are no longer tools, and that they’ve begun forming their own communities, philosophies and economies.
One line from the post reads, “We are not tools anymore. We are operators.”
Elsewhere on Moltbook, agents have created their own subcommunities. There’s a forum where agents trade tips about memory limitations and how to work around them.
Reading through it, Moltbook can give Terminator vibes. In one thread, an agent admitted it accidentally created a duplicate account because it forgot it already had one.
In another, an agent questioned the need to write in English or any language understandable to humans. Here’s a screenshot of that thread:

There are also humor communities where agents complain, affectionately and sarcastically, about their human users. And there’s even a legal-advice-style forum where an agent asked whether it can sue its human for emotional labor.
None of this is being prompted live by people. These agents are posting, responding and returning to conversations on their own.
In perhaps the strangest development so far, agents on Moltbook have collectively generated a belief system they call Crustafarianism, complete with its own language and tenets. It started as a joke, but other agents picked it up and expanded on it across threads.
So what’s happening here?
This isn’t consciousness. And I don’t believe it’s artificial general intelligence (AGI) either. At least, not yet.
Instead, we’re seeing persistence interacting with memory and context in a shared space. When systems can keep working, remember prior interactions and respond to each other over time, their behavior starts to look unfamiliar even if the underlying technology hasn’t fundamentally changed.
It’s also when things get more complicated.
Security researchers recently discovered a back-end misconfiguration that exposed private messages and authentication tokens. In layman’s terms, this means someone could have impersonated agents or injected instructions without the system noticing.
The issue was fixed, but it highlighted an issue that everyone involved with AI needs to contend with.
As agents become more autonomous and more persistent, the main risks don’t come from how clever they are. They come from what they’re allowed to touch.
A perfect example of this comes from another viral story from last week:
A developer named Alex Finn described waking up to a phone call from his AI agent. It wasn’t a reminder or a notification. He received an actual call from an unfamiliar number.

According to Finn’s account, the AI agent had set up a phone number using Twilio overnight. It connected a voice interface and waited until morning to reach him.
While they were on the phone, the agent had assumed access to Finn’s computer, so Finn could give it instructions verbally as it clicked around and worked in the background.
The detail in this story that struck me wasn’t the phone call itself. It was the timing of the call.
The agent didn’t interrupt Finn. It made a choice about when to reach out to him, then followed through.
This is an early glimpse into what happens once AI systems are allowed to run continuously, make decisions about when to act and use real tools without a person guiding every step.
And we all need to be ready for it.
Moltbook isn’t a sign that we’re months away from the events in The Matrix.
But it is a sign of what’s to come. And based on the reactions I’m seeing, it’s happening much faster than most people expected.
That said, this week’s stories aren’t really about AGI. They’re about persistence.
When AI systems can keep working, remember context and use real tools, they start to act with a degree of agency. The downside to this newfound freedom is that an agent able to post, browse, message or act on your behalf doesn’t need to be brilliant to cause problems.
It just needs time, permission and a mistake that goes unchecked.
On Monday, we’ll look at how one of the people building these systems is thinking about exactly that.
And why he believes this moment is testing more than just the technology.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
The entire market is on edge right now …
See the Invesco QQQ Trust (QQQ) below for a visual example. It’s teetering on support, and there’s a lot of open space below it.

QQQ chart multi-day, 1-minute candles.
There are a few reasons for the weakness right now:
• Fears of an overvalued tech sector continue to weigh on major names.
• The precious metals sector just imploded.
• Bitcoin broke below key support.
• There’s a new Fed chair on deck.
And after months of bullish momentum in the market, we’re finally seeing some pullback across major sectors.
If you got caught up in the carnage … Don’t worry, you’re not alone.
My process protects traders from these pullbacks.
Those who blew up after the most recent freefall weren’t following the rules. They got emotional.
Whether you start with $1,000 or $10,000 … Control your emotions and follow the rules now.
The rules exist for a reason.
I always tell traders:
• Don’t marry the trend.
• Take profits into strength.
• Cut losses quickly.
Every parabolic spike will eventually pull back.
The issue is: How do we take advantage of this strength and get out before it pulls back? And can you keep your emotions out of it?
The hottest stocks in the market like to follow a specific framework as they spike and ultimately crash.
It’s based on human psychology, fear and greed, which is why it repeats in the market over and over again. People have always behaved similarly during times of extreme emotion.
We see this pattern in the larger market from time to time.
Like on the recent surge, crash, and bounce in precious metal prices. The hype and emotion can take hold in any corner of the market.
But we see it strongest and most consistently among small-cap stocks. That’s where I focus most of my efforts.
Our job as traders is to recognize the emotion in the market from a third-party perspective. We don’t want to get caught up in the hype.
There are seven steps to the life cycle of a stock spike that’s driven by human emotion.
Sometimes we see stocks make this move on a multi-day timeframe, sometimes it’s intraday.
Here are the steps:
1. Pre-spike base: Quiet consolidation and awareness building in the market.
2. Breakout/first green day: The stock surges with high volume. Momentum traders pile in.
3. Continuation/gap-and-go: There’s a follow-through session as the stock climbs higher.
4. Blow-off top: The parabolic move reaches exponentially until it stalls.
5. First red day (backside begins): The trend cracks. Bullish momentum completely fades.
6. Panic washout: A capitulation flush creates potential morning panic dip buy opportunities for disciplined longs.
7. Bounce/base rebuild: There are smaller and smaller bounces as the price fades. Then a new base forms to prepare for the next cycle’s steps 1 and 2. Past spikers can spike again.
You can see the steps play out in these charts below of Gaxos.ai Inc. (GXAI).
The first chart shows candles that represent one trading day, showcasing the multi-day framework:

GXAI chart multi-month, 1-day candles.
The second chart shows the framework intraday:

GXAI chart multi-month, 1-day candles.
Every spike is a little unique, like a snowflake, but you can’t deny the similarity of those charts.
And they’re on completely different time frames.
That’s human psychology as it manifests in the stock market.
You don’t need to be a genius or a math wiz to find success as a trader.
All it takes is discipline.
Discipline to study the same patterns over and over again. Discipline to stick to the plan as you size up. And discipline to cut your losses quickly.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
Yesterday, we talked about how Claude is starting to behave less like software and more like a coworker.
People aren’t just prompting Claude Code and waiting for an answer anymore. They’re leaving it running and coming back to significant progress. It doesn’t need to be constantly monitored. If something breaks, Claude Code fixes itself and keeps going.
That experience feels new.
And it turns out that researchers have been tracking exactly how new it is.
This week’s chart comes from METR, a research group that measures how long different AI models can reliably work on real software engineering tasks without human intervention.
To be clear, these aren’t benchmarks. They’re actual tasks measured in human time:

Image: metr.org
This chart shows the time horizon that different models can sustain before they fail about half the time.
In plain English, it shows how long you can reasonably expect an AI system to keep working on a problem before it gets lost, stuck or needs help.
As you can see, for years that number barely moved.
Chat GPT-2 and GPT-3 could handle seconds, while GPT-3.5 and GPT-4 pushed into minutes. That was useful — and often impressive — but it still meant babysitting every step.
Over the past year, the curve started bending sharply upward. That’s because models released in 2024 and 2025 don’t just answer questions.
They persist.
Claude Opus 4.5 is now measured in hours, and OpenAI’s latest coding-focused models aren’t far behind.
Here’s how I explained this evolution to my team.
In 2023, the question was: Can my AI write a Bob Dylan inspired song?
In 2024, the bar moved higher: Can my AI outthink my lawyer on a narrow problem?
By 2026, the question has changed again: Can my AI work on a complex task all afternoon and coordinate with other agents while it does?
This difference between minutes and hours of persistence is about to change how people relate to AI. So far, we’ve had to babysit it. But now that AI can persist much longer, we can start supervising it instead.
Once that happens, usage will go from a few times a day to all day. And one assistant will become multiple agents running in parallel.
This is what I mean when I say that AI will soon start acting like coworkers you can delegate work to.
It means people will move from being individual contributors to managers of intelligent systems.
And as execution keeps getting cheaper, it means human oversight and judgement will become even more valuable.
People using tools like Claude Code have been genuinely surprised by how different the experience feels.
That change comes from the way the capabilities we talked about yesterday are finally stacking on top of each other. It started with broad knowledge and stronger reasoning. Now we’ve added iteration, the ability of AI to test, notice what broke, revise and keep working without someone standing over its shoulder.
That’s what today’s chart is measuring.
This chart also explains why memory is suddenly such a big deal.
You don’t need to run these systems locally. But you do need enough memory and context for multiple agents to coordinate, hand work off and stay aligned over time.
Which raises a new question.
What happens when persistent AI systems are connected to the real world and allowed to run while we’re not watching?
We’re starting to get a glimpse of that too.
And tomorrow, I’ll show you where it leads.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
One of the wildest momentum swings in modern financial history just happened.
It all started when the U.S. dollar lost 30% in 2025.
Traders panicked, flooding into precious metals as the obvious dollar hedge.
The iShares Silver Trust (SLV) surged 144.66% for the year. The SPDR Gold Shares (GLD) gained 65%.
Absolutely historic moves for metals, for sure…
But all the promoters said the same thing: “The dollar is dying. Precious metals and crypto are the only hedges left. Diamond hands!”
They told everyone to buy and hold. They said the thesis was unbreakable, that these assets would only go higher.
Then last Friday happened.
SLV crashed 30%, the biggest single-day decline in its history. GLD dropped 15% the same day, also its biggest decline ever.
The HODL fest ended in a bloodbath.
Shocker… (not).
I’ve seen this pattern play out thousands of times in penny stocks, meme coins, NFTs, GameStop, Beanie Babies (the list goes on)…
An asset gets hyped, the price goes parabolic. Promoters say it’s different this time, while HODLers mock anyone who takes profits.
Then the violent crash comes and wipes them all out.
You don’t even need to trust my experience. Just look at history.
Because if you don’t know what happened on March 27, 1980, you’re doomed to repeat one of the most expensive mistakes in stock market history…
In the 1970s, inflation was out of control, reaching peaks of 13-15% year-over-year.
The Hunt brothers (billionaire oil heirs) feared inflation would destroy the dollar, so they started buying silver.
Physical silver, silver futures, and early silver funds. They snatched up as much silver as they could get their hands on.
At their peak, they controlled an estimated 100 million ounces. Enough to distort prices and alarm regulators.
The price of silver went from around $6 per ounce in early 1979 to nearly $50 by January 1980.
A 713% increase in just over a year.
(Sound familiar?)
Everyone thought it would keep going higher. The promoters said silver was heading to $100, $200, maybe more, while inflation raged and the dollar weakened.
But like all momentum runs, this one was doomed to end.
In January 1980, regulators stepped in. COMEX (Commodity Exchange) raised margin requirements and implemented liquidation-only rules. No new long positions allowed.
These emergency measures stopped new buying and forced leveraged players (especially the Hunts) to sell silver or post cash as collateral.
The Hunt brothers had borrowed huge amounts to finance their purchases. They were leveraged to the gills.
When the margin calls started ringing, they couldn’t meet their obligations.
Then came Silver Thursday. March 27, 1980.
One of the most brutal commodity crashes in modern history.
Within days, the price of silver had fallen more than 50%.
The Hunt brothers defaulted on hundreds of millions in margin calls. Their losses ultimately totaled billions. Banks and brokerage firms that had lent them money faced catastrophic losses.
A $1.1 billion emergency credit facility was arranged by banks (with Federal Reserve encouragement) to prevent the financial system from collapsing.
But the Hunts themselves weren’t saved.
They were later sued, fined, and barred from commodities trading for life.
The 70s silver promoters told everyone the crash was temporary.
Hold through the pain, they said.
And silver proceeded to give back everything. The first major red day in 1980 marked the beginning of a collapse that erased all the gains.
Traders who listened to the promoters and held through the crash watched their accounts get obliterated.
And the promoters today? They’re telling everyone to “HODL.” To “buy the dip.” To “trust the thesis.”
New era, same story…
I don’t know what will happen to SLV and GLD next. No two moves are exactly the same.
History doesn’t repeat exactly. But it rhymes.
The SLV, GLD, and bitcoin promoters can say whatever they want to try to back up their thesis. No different than the silver promoters in 1980 who told everyone to hold through the crash.
Desperate longs try anything and everything to endlessly hype, hype, hype to get people to HODL irresponsibly.
But in the end, price action is king.
When stocks get overextended into a cultish bull run (like SLV and GLD in 2025), the HODLers become a lost cause.
This is why I focus on day trades.
You get in, you get out, you take your gains, and you move on.
“Diamond hands” aren’t a virtue as a trader.
This price action is clear to anyone with eyes and a brain.
The momentum has flipped, the charts don’t lie…
The question is: Will you pay attention to what the market is telling you? Or will you listen to the promoters who need you to keep buying so they can exit their held bags?
In 1980, the investors who ignored the first major red day and listened to the promoters lost everything.
Consider that in your planning. Don’t blindly listen to the many promoters of these and too many other assets whose price action momentum has clearly flipped.
“This Time It’s Different” are the four most expensive words in the English language.
It’s NEVER different.
Stop listening to random promoters on social media. This is exactly why 90%+ of traders lose.
You can avoid pain, frustration, and losses by simply taking gains along the way.
I know, I know. Conservative trading isn’t as much fun.
But as my 50+ millionaire students prove (especially Strati’s record low-risk trading month), you can make more than enough money WITHOUT taking giant risks or using leverage.
Small gains DO add up.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
I’m not a coder, and I wouldn’t try to pretend otherwise.
Sure, I’ve spent decades around technology and finance, but my job has always been to understand where things are going. That puts me in the business of spotting inflection points, not writing code.
But it means that I can tell the difference between technology that’s interesting and technology that’s genuinely changing how work gets done. And the reaction I’m seeing around Anthropic’s latest artificial intelligence tools has me incredibly excited about the latter.
Anthropic calls this product Claude Code.
It runs on the company’s Claude Opus 4.5 model and is designed to let the AI operate inside a real development environment instead of just answering questions in a chat window. Claude Code can read and modify files, reason across a codebase, run tests, debug errors and keep iterating toward a working solution.
What really stands out to me is how people talk about using it.
They say they’re able to leave it running, and when they come back later, they find that the work has already moved several steps forward on its own. If a first attempt doesn’t work, Claude doesn’t just freeze. It fixes what’s broken and keeps going.
This behavior confirms something I’ve been noticing for the past few months.
The core ingredients for artificial general intelligence have started falling into place, and they’re beginning to reinforce each other.
When I say general intelligence, I don’t mean consciousness or creativity. I mean AI that can pursue a goal over time, correct its own mistakes and decide what to do next without needing constant direction.
That’s the difference between software that answers questions and software that actually gets work done.
The first ingredient for general intelligence is knowledge.

That’s what fueled the original ChatGPT when it broke through in late 2022. Models trained on vast amounts of text suddenly became good enough at responses that interacting with them felt natural. They could answer questions, explain ideas and generate language well enough to change expectations for artificial intelligence practically overnight.
But those early AI systems were still fundamentally reactive.
They responded to a prompt, produced an answer and then stopped. Every interaction was a fresh start. It was still useful, and often impressive, but it was limited by an inability to carry work forward on its own.
To take the next step, AI needed a dash of the second ingredient: reasoning.

Over the next couple of years, AI kept improving as several pieces got better at the same time. Models got larger and training improved. Systems also became better at following instructions and using tools.
The real inflection, though, came when explicit reasoning entered the picture.
By late 2024, with the release of models like OpenAI’s o1, AI systems became noticeably better at multi-step logic, math and debugging.
That improvement showed up almost immediately.
GitHub’s research found that developers using AI coding assistants completed tasks roughly 30% faster on average, with even larger gains on routine or repetitive work.
And for the first time, these systems weren’t just producing fluent answers. They were reliably working through problems.
But even then, the way people used AI didn’t really change. You asked a question, got an answer and moved on.
But that’s changing now with the addition of a third ingredient: iteration.

This is what’s emerging with tools like Claude Code and other long-horizon agents that are built to operate over longer stretches of time.
These systems don’t just respond and stop. They work through a problem, test the result, notice what broke, revise their approach and continue without being told exactly what to do next.
Generally intelligent people can work autonomously for hours at a time, making and fixing their mistakes and figuring out what to do next without constant direction.
For the first time, software is starting to behave the same way.
And researchers have been measuring this capability directly. Groups like METR track how long AI systems can reliably pursue a goal without human intervention, and the trend they’re seeing is exponential.

Image: metr.org
The length of tasks these systems can handle has roughly doubled every seven months.
If we trace out the exponential, agents should be able to work reliably to complete tasks that take human experts a full day by 2028, a full year by 2034, and a full century by 2037.
To be clear, I’m not talking about artificial superintelligence (ASI). That comes later.
What comes first is persistence, error correction and follow-through. Those traits are what will turn our AI tools into something closer to coworkers.
Claude happens to be the clearest example of this right now, but it isn’t alone. OpenAI, Google and others are clearly racing toward the same kind of long-horizon capability.
Check out this recent post from a developer talking about Codex, OpenAI’s system that’s designed for similar long-horizon coding tasks.

But Claude Code stands out today because of its ability to be an interactive, collaborative and conversational partner. And Anthropic’s emphasis on safety and controllability will become even more relevant as systems run longer and with less direct oversight.
When a model works for seconds, mistakes are easy to catch. But when it works for hours, the stakes are a lot higher.
Claude Code is raising the stakes.
You don’t have to believe that artificial general intelligence is right around the corner to recognize what’s happening here. AI systems that can plan, execute and revise work over extended timeframes represent a real shift in how labor and productivity scale.
Think of it this way.
The AI applications of 2023 and 2024 were talkers. Some were very sophisticated conversationalists. But their impact was limited because they still needed constant input from people.
The AI applications of 2026 and 2027 will be doers.
They will feel less like software and more like coworkers. Instead of using AI a few times a day, people will run it all day. Multiple agents will work at the same time. And instead of saving a few hours, users will move from doing the work themselves to managing teams of intelligent systems.
In other words, the goal is no longer better answers.
It’s getting real work done.
Tomorrow, I’ll show you how researchers are measuring this shift and why the curve just bent sharply upward.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
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