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Investing News Network

Anglo Takes Third De Beers Writedown in Three Years (2026-02-20)

Anglo American (LSE:AAL,OTCQX:NGLOY) has slashed the value of its De Beers diamond business by US$2.3 billion, cutting the unit’s carrying value in half and pushing the FTSE 100 miner to a US$3.7 billion annual loss as a prolonged slump in the global diamond market deepens.
After previous charges of US$2.6 billion in 2023 and US$2.9 billion in 2024, De Beers is now valued at US$2.3 billion—a fraction of what it was worth just a few years ago.
The impairment drove Anglo to a net loss of US$3.7 billion for the year, compared with a US$3 billion loss previously. Losses at De Beers also widened sharply to US$511 million from just $25 million the year before, as the business recorded a third straight annual drop in production and trimmed its 2026 output forecast.
“There is at the moment a plentiful supply of rough diamonds in the market,” CEO Duncan Wanblad told reporters.
The diamond sector has been squeezed by several forces at once. US tariffs on India, where most rough diamonds are polished, have disrupted trade flows. Competition from lab-grown stones has also intensified, leading to the erosion of pricing power held by market players.
Anglo has been trying to exit diamonds as part of a sweeping restructuring announced after it fended off a £39 billion takeover approach from BHP (ASX:BHP,NYSE:BHP,LSE:BHP) in 2024. The plan includes divesting its diamond, coal, and platinum units and refocusing on copper and iron ore.
Wanblad said the sale of Anglo’s 85 percent stake in De Beers is at an advanced stage, with several credible bidders in the process alongside discussions with Botswana. The country currently owns 15 percent of the business and supplies about 70 percent of its annual rough diamond output.
Wanblad said he is “optimistic” that the company would “see a deal signed” this year.
Despite the hit from De Beers, Anglo’s underlying earnings before interest, tax, depreciation and amortisation rose 2 percent to US$6.4 billion, buoyed by strong copper prices. The company declared a dividend of US$0.23 per share, down from US$0.64 a year earlier, while net debt fell to US$8.6 billion.
Copper and iron ore remain the miner’s core profit drivers and are expected to anchor earnings once the restructuring is complete.
Anglo’s proposed combination with Canada’s Teck Resources (TSX:TECK.A,TECK.B,NYSE:TECK,OTCPL:TCKRF), which would expand its copper portfolio with assets including the Quebrada Blanca mine in Chile, has been approved by shareholders and is awaiting regulatory clearance.
Still, diamonds remain a drag at a time when the broader industry is facing structural change. Producers are currently grappling with falling prices, lab-grown competition, and shifting consumer trends.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
AI Still Has Legs, but Valuation Risk is Back in Focus (2026-02-20)

The tech rally that powered markets through 2025 is being tested in 2026.
In early February, a broad tech selloff hit markets, fueled by various elements, including aggressive artificial intelligence (AI) capital spending guidance from hyperscalers, as well as the rapid release of new AI models, which sparked disruption concerns within the software sector. This powerful combination forced investors to separate durable AI leaders from stocks whose gains were driven mainly by sentiment and stretched valuations.
Technology benchmarks saw significant losses. From December 31, 2025, to its February 5 year‑to‑date low, the S&P Technology Index (INDEXSP:SP500-45) dropped by nearly 7 percent. Software-focused measures were hit especially hard; the iShares Expanded Tech-Software Sector ETF (BATS:IGV) declined by almost 25 percent.
Meanwhile, semiconductor‑focused peers like the iShares Semiconductor ETF (NASDAQ:SOXX) remained up more than 5 percent over the same stretch. The divergence underscored how quickly a broad AI theme can split into clear winners and laggards depending on where revenues and profits are actually showing up.
Indexes have since returned some of their losses, but investors with a multi‑year horizon need portfolio construction that can withstand the volatile nature of a sentiment-sensitive sector like tech. In this kind of environment, the challenge becomes building exposure to long‑term AI growth without drifting into a concentrated valuation risk trade.
James Learmonth serves as co-chief investment officer at Harvest ETFs and oversees strategies including the Harvest Tech Achievers Growth & Income ETF (TSX:HTA). Over the same period, it declined only by about 7 percent, underscoring the difference between a diversified, income‑oriented structure and a pure software basket.
Learmonth spoke to the Investing News Network (INN) about how he distinguishes long‑term structural growth from short‑term valuation risk. Read on for his key takeaways and outlook.
Why did tech stocks sell off in early February?

After piling into AI‑linked software and services names on strong cloud and AI‑related revenue growth, the technology sector underwent a steep correction from its October 2025 high. The decline followed earnings reports that included guidance pointing to sustained, capital‑intensive buildouts and longer payback periods.
After hyperscalers signaled aggressive 2026 infrastructure spending, market participants began to question return‑on‑investment timelines, even as fundamentals largely held up.
Companies with less certain paths to monetization saw their share prices decrease rapidly, while those showing profitable AI‑driven growth and measurable returns on invested capital were hit less hard. Disruption‑driven headlines, such as the launch of Anthropic’s Claude Cowork tools and new AI assistants aimed at legal and accounting workflows, added to the perception that many software business models are at risk, even if long‑term AI adoption remains intact.
The move exposed the limits of a purely thematic AI basket approach; in this environment, a passive, set‑and‑forget AI allocation can quickly morph from a growth‑oriented bet into a concentrated valuation risk trade, which is where active managers like Learmonth are trying to draw a sharper line between structural growth and speculation.
For Harvest ETFs, that line starts with business quality rather than a story about AI.
“Obviously it’s a rapidly evolving landscape across AI right now,” he said. “I think having competitive moats in place is paramount for companies maintaining their leadership position over time. From a valuation perspective, we like to look at P/E with that growth multiplier peg applied to us, so you have that growth lens applied to the valuation.”
Several lenses help distinguish structural winners from speculative names.
Learmonth pointed to growing margins, return on equity and return on invested capital as key markers that AI‑driven capex is actually creating value, rather than just inflating a headline growth story.
“You want to make sure companies are actually growing profitably, and not just generating revenue for the sake of generating revenue, but not able to pass that through in terms of bottom‑line growth as well. I think return on equity and return on invested capital, along those same lines, are key metrics to look at too," he noted.
Companies with clear, recurring AI‑related revenue streams, such as infrastructure or enabling hardware, tend to fare better than those whose AI exposure is largely driven by narrative.
“We have for a long time argued that the hardware and semiconductor side of the business is where we want to be (more heavily focused) right now, because it is seeing the revenue and profit generation directly from the infrastructure investment. That being said, particularly with the severity of the declines that we’ve seen in the software side over the past few weeks, I think (some opportunities) might be starting to spring up there," said Learmonth.
“We have reduced our software exposure a little bit over the past few quarters, but we are still maintaining some software exposure in those companies where we think they have competitive moats, whether that's specialized areas like tax preparation and accounting, things like that," the expert elaborated.
Following the earlier correction, which Wedbush Securities analyst Dan Ives says may have been an overreaction, AI‑sensitive stocks are now trading at more reasonable multiples than at their October 2025 peak.
For the S&P 500 Software & Services group, the average forward P/E multiple has fallen from about 32.6 times to 22.7 times expected profits, even though analysts still forecast double‑digit revenue and earnings growth, plus net margins close to 30 percent. That average hides a wide gap between names that still trade on premium “AI story” multiples and others that have rerated much more sharply, which is where stock picking becomes critical.
In a recent note, Morgan Stanley (NYSE:MS) spotlighted Atlassian (NASDAQ:TEAM), Shopify (NYSE:SHOP) and Palo Alto Networks (NASDAQ:PANW) as some of the most compelling software opportunities for investors looking to buy the dip.
Investor takeaway

Against this backdrop, the focus is shifting from “how much AI” to “how AI is structured."
For investors who want to stay exposed to AI‑driven tech, but are wary of sharp, headline‑driven swings, vehicles like the Harvest Tech Achievers Growth & Income ETF could offer a middle ground by combining active stock selection in structural winners with a covered‑call overlay.
“That’s how we generate enhanced yields — by selling calls on our long equity positions to generate option premiums, which we then pay as distributions on a fixed monthly basis,” explained Learmonth.
“That sale of options can help to mitigate some of the month‑to‑month volatility across the fund, with the tradeoff being some foregone upside in a strong bull market.”
As the AI trend evolves, success will likely favor those who view AI as a long-term, multi-year structural shift rather than a short-term theme. Winners will employ active management, prioritize income and utilize a disciplined structure to separate signal from noise.
Don’t forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.
Steadright Critical Minerals: Advancing High-grade Mineral Assets in Morocco (2026-02-20)
Steadright Critical Minerals (CSE:SCM) is a Canadian-listed exploration and development company focused on unlocking value from Morocco’s mineral-rich terrain. It prioritizes assets with past production, strong geological datasets, and defined development pathways, aiming to shorten timelines, lower risk, and balance near-term cash flow with longer-term discovery upside.
Its core assets include the fully permitted, past-producing Goundafa polymetallic mine, the Copper Valley copper-lead-silver project in a proven mining district, and the TitanBeach heavy mineral sands project along Morocco’s Atlantic coast. A recent letter of intent with SilverLine Mining SARL could further strengthen the portfolio by adding a licensed, silver-focused asset, reinforcing Steadright’s strategy of acquiring high-quality, permitted projects.

Operating in Morocco—a jurisdiction known for modern mining legislation, strong infrastructure, and competitive fiscal incentives—Steadright benefits from a supportive mining environment. The company is led by an experienced management team with decades of global mining, exploration, and capital markets expertise, positioning it to advance its projects efficiently.
Company Highlights
- Near-Term Production: The historic Goundafa Polymetallic mine is fully permitted with a legacy of high-grade zinc, lead, copper, silver, and gold production, Goundafa offers near-term, non-dilutive cash flow from historic stockpile sales under a binding processing agreement.
- Diversified Portfolio: Fully permitted Goundafa Polymetallic mine (PbZn-Cu-Ag-Au), the Copper Valley CopperLead-Silver Project, SilverLine Mining Sarl (LOI) and the TitanBeach Heavy Mineral Sands
- Strategic Moroccan Operations: Operating in a mining-friendly jurisdiction with modern legislation, strong infrastructure, and significant fiscal incentives including corporate tax exemptions.
- Experienced Leadership: Management and technical teams bring decades of international mining, exploration, and capital markets experience.
This Steadright Critical Minerals profile is part of a paid investor education campaign.*
Click here to connect with Steadright Critical Minerals (CSE:SCM) to receive an Investor Presentation
Top Australian Mining Stocks This Week: Lithium Valley Results Boost Gold Mountain (2026-02-19)

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.
Mining giant BHP (ASX:BHP,NYSE:BHP,LSE:BHP) reported strong half-year copper results, saying that its copper operations accounted for the largest share of its overall earnings for the first time.
In terms of the top gainers, gold, lithium and copper companies took the lead.
Read on to discover what drove their share prices this past week.
Market and commodities price round-up

The S&P/ASX 200 (INDEXASX:XJO) opened at 8,953 on Monday (February 16) and closed at 9,086.2 on Thursday (February 19), reflecting a 1.49 percent increase over the period.
The gold price decreased 1.07 percent in US dollars, falling from US$5,043.28 per ounce on Monday to US$4,989.10 by Thursday, and 0.7 percent in Australian dollars, moving from AU$7,130.13 to AU$7,080.55.
Silver posted a small increase, rising 0.84 percent in US dollars.
The metal went from US$77.36 per ounce on Monday to US$78.01 on Thursday. In Australian dollars, the metal saw a larger 1.23 percent increase, rising from AU$109.37 to AU$110.71.
Top ASX mining stocks this week

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.
1. Gold Mountain (ASX:GMN)

Weekly gain: 73.68 percent
Market cap: AU$27.21 million
Share price: AU$0.165
Gold Mountain is focused on developing Brazil-based rare earths, lithium and copper projects.
Its flagship asset is the Down Under rare earths project, which has returned peak of values of 4,346 parts per million total rare earth oxide. Gold Mountain also holds the Araxá rare earths-niobium project, as well as the Lithium Valley project, which is made up of 49 tenements in Brazil’s Lithium Valley.
This week, the company shared results from stream sediment samples taken from Lithium Valley, saying that it has defined extensive lithium and gold anomalies at the Salinas South prospect.
Managing Director David Evans commented in a release that the program further validates Lithium Valley's "strong potential," adding that Gold Mountain is anticipating the development of drill targets at the project’s Salinas South and Coroaci prospects following work at the Irajuba prospect at Down Under.
“The structural location of the known zones of pegmatites and lithium anomalies, in zones of interpreted NE trending and NS trending structures is highly encouraging," he commented. “Our Lithium portfolio remains an important asset to the Company despite our current major focus on the Rare Earths at Irajuba.”
Shares of Gold Mountain went from an AU$0.105 close on Monday to a week’s high of AU$0.165 on Thursday.
2. Empire Resources (ASX:ERL)

Weekly gain: 70 percent
Market cap: AU$22.17 million
Share price: AU$0.017
Empire Resources is an exploration company focused on Australian copper-gold assets.
The company owns 100 percent of two projects it believes are highly prospective: the Yuinmery copper-gold project, 470 kilometres northeast of Perth, and the Penny’s gold project, 45 kilometres northeast of Kalgoorlie.
The company requested a trading halt on February 9, pending the release of an announcement.
On February 11, it said it had received firm commitments for a AU$5 million placement in two tranches. The first tranche was completed on Tuesday (February 17), with Empire confirming it had issued 363,478,311 fully paid ordinary shares at an issue price of $0.008 per share, raising approximately A$2.908 million (before costs).
The company saw its shares rise from a Tuesday close of AU$0.012 to AU$0.016 on Thursday.
3. Cosmos Exploration (ASX:C1X)

Weekly gain: 66.67 percent
Market cap: AU$13.56 million
Share price: AU$0.135
Cosmos Exploration is a lithium explorer with an option to merge with EAU Lithium, which is focused on developing Bolivian lithium reserves in a strategic partnership with Vulcan Energy Resources (ASX:VUL,OTCPL:VULNF).
On Monday, EAU shared that it had executed a non-binding negotiation agreement for potential future contracts related to lithium production with Bolivian state-owned lithium company YLB. The framework specifically focuses on using Vulcan Energy's VULSORB A-DLE technology, as the company recently completed a major financing round to fund the construction of its integrated lithium-geothermal project using the technology.
With this week’s activity, shares of Cosmos went from AU$0.082 on Monday to AU$0.135 on Thursday.
4. New Age Exploration (ASX:NAE)

Weekly gain: 50 percent
Market cap: AU$16.82 million
Share price: AU$0.003
New Age Exploration is a gold- and lithium-focused exploration and development company. Its flagship asset is the Wagyu gold project, located in the Central Pilbara region of Western Australia. The project lies within the Mallina Basin, just 5 kilometres west of Northern Star Resources' (ASX:NST,OTCPL:NESRF) 11.2 million ounce Hemi gold deposit.
Last week, the company published the first round of assay results from a reverse-circulation drill program at Wagyu, saying that results from the second half of the program are expected in the coming weeks. While no further updates have been made, the company traded at a high of AU$0.0045 on Tuesday, gaining the attention of the ASX.
In response to a query, it said it was not aware of any information that could explain the trading activity.
Shares of New Age closed at AU$0.003 on Thursday.
5. Hamelin Gold (ASX:HMG)

Weekly gain: 53.85 percent
Market cap: AU$17.85 million
Share price: AU$0.12
Hamelin Gold is an explorer focused on unlocking underexplored gold provinces in Australia. The company’s portfolio includes the West Tanami gold project and the Day Dawn project, both in Western Australia.
Hamelin shared its latest update on February 9, reporting on a review of historical drilling datasets. It said compilation and validation of historical drilling has defined the high-grade Aurora lode at Day Dawn.
On Tuesday, the company posted its presentation from the RIU Explorers Conference, saying that drilling at Day Dawn will commence in the May to June period. Meanwhile, Hamelin said 2026 programs at West Tanami will search for high-grade gold shoots within deposit-scale gold footprints.
Shares of Hamelin went from a Monday close of AU$0.078 to a Thursday close of AU$0.12.

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: New Age Exploration is a client of the Investing News Network. This article is not paid-for content.
Ole Hansen: Next Gold Target is US$6,000, What About Silver? (2026-02-19)

Ole Hansen, head of commodity strategy at Saxo Bank, believes US$6,000 per ounce is in the cards for gold in the next 12 months; however, silver may not enjoy the same price strength.
"If gold moves toward US$6,000, I would believe that ... silver at some point will struggle to keep up, and we'll see basically gold relatively outperform silver," he 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.

4xPip Blog

Is 4xPip Legit or a Scam? Review for Traders (2026-02-19)
Many traders search “Is 4xPip legit or a scam?” because the Forex automation space is filled with low-quality coding services, copied Expert Advisors, and unverified MQL4/MQL5 developers. In an industry where a single flawed algorithm can impact live capital, EA owners and strategy developers need transparency, technical precision, and secure development practices before trusting anyone with their trading logic or source code (mq4/mq5 file).

In this review, we evaluate 4xPip based on objective criteria, service structure, transparency, development standards, customer feedback, and support reliability. We examine what 4xPip MQL4 programming services and MT4/MT5 automation solutions claim to deliver, including custom Expert Advisors, indicators, trade panels, license systems, and conversion services, and assess whether those offerings meet professional trading standards.

What Is 4xPip and What Services Does It Offer?

4xPip is a professional software development company specializing in Forex automation and MetaTrader programming solutions. Through 4xPip’s MQL4 and MQL5 programming services and development, we convert a trader’s strategy into a fully functional Bot / EA / Expert Advisor for MetaTrader (MT4/MT5). Core services include custom EA development, indicator customization, strategy automation, MT4/MT5 trade panels, Forex dashboards, scanners, license systems, and conversion services such as MQL4 to MQL5 or TradingView (Pine Script) to MQL4/MQL5. Each solution is built around precise entry logic, filters, money management rules, and risk controls, including advanced techniques like Martingale, Hedging, Grid, and Drawdown Limiter systems.

The typical workflow at 4xPip follows this process: a Trader / EA owner / EA seller submits a strategy idea, we clarify requirements and trading parameters, our Programmer / Developer team codes the project, performs iterative testing, and delivers the final product for deployment. Services are designed for independent traders automating personal systems, EA sellers protecting intellectual property, signal providers converting manual alerts into automated execution, and trading educators transforming strategies into scalable tools. Through this process, 4xPip ensures that each Customer / User receives a customized, rule-based automation solution aligned with defined trading logic and platform specifications.

Company Transparency and Online Presence

4xPip maintains an information-rich official website at 4xpip.com, where core services such as MQL4/MQL5 programming, custom EA development, conversion services, license systems, Forex dashboards, and trade management tools are clearly described. Contact channels, service categories, and marketplace listings for pre-built tools are publicly accessible, allowing any Trader / EA owner / EA seller to understand what 4xPip MQL4 programming services include before initiating a project. The website outlines how a Strategy is converted into a Bot / EA / Expert Advisor for MetaTrader (MT4/MT5), and explains licensing, documentation, and support processes, which reflects operational clarity rather than vague service claims.

From a compliance perspective, 4xPip presents transparent communication regarding project scope, documentation, licensing systems, and responsible trading. Refund-related information, licensing protection, and service explanations are available directly on the platform, reducing ambiguity for any Customer / User. Branding consistency across the website, marketplace, blog resources, and support channels indicates structured operations, while documented communication from project initiation to final delivery reinforces development accountability. In the Forex automation industry, this level of presentation is a measurable indicator of legitimacy.

Quality of Technical Services and Deliverables

High-quality MQL4/MQL5 development is defined by precise implementation of a trader’s Strategy, efficient execution logic, stable order handling, and compatibility with different broker environments on MetaTrader (MT4/MT5). A properly coded Bot / EA / Expert Advisor must execute trades based strictly on defined rules, integrate filters, manage risk parameters, and avoid execution errors such as duplicate trades or incorrect lot sizing. Through 4xPip MQL programming services, our Programmer / Developer team focuses on precision coding, iterative testing, and direct alignment with the original trading logic, ensuring that automated execution remains consistent, stable, and technically reliable.

In terms of deliverables, 4xPip provides the complete operational package required for deployment, including compiled files ready for installation on MetaTrader and clear documentation explaining usage, settings, and configuration. Each Customer / User receives guidance on setup, while the development process emphasizes transparent communication from initial coding to final delivery. Revision handling, logic adjustments, and feature updates are managed through collaboration, ensuring that any required refinements maintain the integrity of the original Strategy while improving performance, usability, or compatibility when necessary.

Customer Reviews and Trader Feedback

Independent feedback is a important factor when evaluating any Forex automation provider. Reviews across platforms such as Trustpilot, the MQL5 Community, and Forex forums consistently reference great communication and technical implementation quality within 4xPip’s programming services.

Common Patterns in Trader Feedback:
- Fast turnaround time for custom Bot / EA / Expert Advisor development
- Clear communication during Strategy clarification and requirement discussions
- Accurate implementation of entry logic, filters, and money management rules
- Reliable integration of advanced systems such as Martingale, Hedging, Grid, and Drawdown Limiter
- Post-delivery responsiveness for minor adjustments or optimizations
How to Identify Genuine Reviews:
- Look for detailed references to MetaTrader (MT4/MT5) compatibility or broker behavior
- Check whether the reviewer explains specific Strategy logic or execution results
- Avoid overly generic praise without technical context
- Prioritize reviews mentioning documentation quality, testing process, or revision handling
When feedback repeatedly references development, technical precision, and consistent support, it indicates operational legitimacy rather than promotional uncertainty.

Pricing Structure and Value for Money

Custom MQL4/MQL5 programming in the Forex automation industry is typically priced based on Strategy complexity, number of features, integration requirements, and risk management logic. Factors such as multi-timeframe conditions, advanced systems like Martingale, Hedging, Grid, Drawdown Limiter mechanisms, trade panel integration, dashboard functionality, Telegram alerts, and license system implementation directly affect development scope. Within 4xPip, project pricing aligns with defined specifications meaning cost is tied to the exact trading rules, execution filters, and automation depth required for the Bot / EA / Expert Advisor operating on MetaTrader (MT4/MT5).

From an industry comparison standpoint, the programming services emphasize scope clarification before development begins, which reduces pricing ambiguity and prevents hidden feature gaps. For a professional Trader / EA owner / EA seller, value is measured not just by initial cost but by execution accuracy, documentation, revision handling, licensing protection, and post-delivery communication. When deliverables include stable compiled files, setup guidance, and collaborative refinement support, the cost reflects long-term operational reliability rather than one-time code delivery.

How Traders Can Verify Legitimacy Before Ordering

Before hiring any Programmer / Developer, a Trader / EA owner / EA seller should request a detailed written proposal outlining the Strategy logic, feature list, execution rules, risk management structure, delivery timeline, and revision policy. Clear scope confirmation prevents misunderstandings around entry filters, money management rules, Martingale, Hedging, Grid, or Drawdown Limiter systems. With 4xPip, project discussions are made around precise MetaTrader (MT4/MT5) requirements, ensuring the Bot / EA / Expert Advisor specifications are documented before development begins.

To further reduce risk, starting with a smaller test project, such as a simple indicator, trade manager, or partial automation module, allows a Customer / User to evaluate coding accuracy and execution reliability before committing to a complex system. Verifying communication clarity, response time, and revision handling is equally important. Through our programming services, support, documented communication, and defined post-delivery terms provide measurable indicators of professionalism before any large-scale automation investment is made.

Summary

4xPip is a professional Forex automation and MetaTrader programming service that helps traders transform strategies into fully functional Expert Advisors (EAs), indicators, trade panels, and license systems. By offering MQL4/MQL5 coding, conversion services, and custom automation solutions, 4xPip ensures precise trade execution, risk management, and strategy alignment. Their workflow, from strategy submission to iterative testing and delivery, prioritizes transparency, technical reliability, and customer support. Independent reviews highlight accurate coding, effective integration of advanced systems like Martingale and Hedging, and responsive post-delivery assistance. With clear pricing linked to project complexity and good communication practices, 4xPip demonstrates legitimacy and operational professionalism for traders seeking automation solutions.

4xPip Email Address: services@4xpip.com

4xPip Telegram: https://t.me/pip_4x

4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588

FAQs
1. What is 4xPip and what services do they provide?
  4xPip specializes in Forex automation, offering MQL4/MQL5 programming, custom Expert Advisor (EA) development, indicator customization, trade panels, dashboards, license systems, and conversion services such as MQL4 to MQL5 or TradingView scripts to MetaTrader.
2. How does 4xPip convert a trading strategy into an EA?
  Traders submit their strategy, 4xPip clarifies requirements and trading parameters, then developers code, test, and refine the EA. The final product includes compiled files, documentation, and guidance for MetaTrader deployment.
3. Is 4xPip a legitimate Forex automation provider?
  Yes. Transparency in communication, workflows, documented project scopes, and consistent customer feedback indicate operational legitimacy in the Forex automation space.
4. What kind of technical standards does 4xPip follow?
  4xPip emphasizes precise implementation of strategies, efficient trade execution, error-free order handling, and compatibility across brokers. Advanced features like Martingale, Hedging, Grid, and Drawdown Limiter systems are integrated reliably.
5. How do customer reviews reflect 4xPip’s quality?
  Independent reviews on platforms like Trustpilot and MQL5 highlight fast turnaround times, accurate strategy coding, clear communication, integration of advanced systems, and responsive post-delivery support.
6. How is pricing determined for 4xPip services?
  Pricing is based on strategy complexity, required features, risk management logic, and integration needs. Costs correspond directly to project specifications, including dashboards, trade panels, alerts, and license systems.
7. How can traders verify 4xPip’s services before committing?
  Traders should request a detailed written proposal outlining strategy logic, features, execution rules, risk management, delivery timeline, and revision policies. Starting with a smaller test project is also recommended.
8. Does 4xPip support revisions or updates after delivery?
  Yes. Communication and documented post-delivery support allow customers to request minor adjustments, logic refinements, or feature updates without compromising the original strategy integrity.
9. Are 4xPip solutions compatible with all MetaTrader brokers?
  Their EAs, indicators, and trade tools are coded to ensure compatibility with MT4 and MT5 across most broker environments, ensuring stable execution and proper order handling.
10. What measures indicate professionalism when hiring 4xPip?
  Indicators include clear project documentation, scope clarification, transparent pricing, communication, iterative testing, and consistent post-delivery support—key factors demonstrating technical and operational reliability.
The post Is 4xPip Legit or a Scam? Review for Traders appeared first on 4xpip.
Hidden Risks of Martingale Expert Advisors and How They Impact Drawdown (2026-01-15)
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.

How Martingale Expert Advisors Work in Automated Trading

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.

Understanding Drawdown and Why It Matters for EA Performance

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.

Hidden Risk of Exponential Position Sizing

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.

Market Conditions That Expose Martingale Drawdown Risks

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.

Margin Pressure, Leverage, and Account Wipeout Scenarios

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.

Risk Management Limitations in Martingale Expert Advisors

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.

Summary

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

4xPip Telegram: https://t.me/pip_4x

4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588

FAQs
1. What is a Martingale Expert Advisor in forex trading?
  A Martingale Expert Advisor is an automated trading system that increases trade size after a losing position. The goal is to recover previous losses when price retraces, often using grid-based entries and a centralized take profit on platforms like MT4 and MT5.
2. Why do Martingale EAs often show high win rates?
  Martingale systems close multiple trades together once price moves favorably, which results in frequent winning cycles. This structure creates the appearance of consistency, even though risk continues to build during losing streaks.
3. What is drawdown, and why is it important for Martingale strategies?
  Drawdown measures the decline in equity from its peak. In Martingale EAs, floating drawdown is especially important because multiple open trades can accumulate large unrealized losses during extended adverse market moves.
4. How does exponential position sizing increase risk?
  Each Martingale order increases lot size using a multiplier, causing exposure to grow rapidly. Even a few consecutive losing trades can significantly increase margin usage and drawdown beyond what many traders anticipate.
5. Which market conditions are most dangerous for Martingale EAs?
  Strong trends, high-impact news events, and volatility spikes are the most risky. In these conditions, price may not retrace within grid spacing, leading to rapid order stacking and escalating drawdown.
6. Why do backtests often underestimate Martingale risk?
  Historical data rarely captures extreme volatility or prolonged trends accurately. As a result, backtests can make Martingale strategies appear safer than they are under real-market conditions.
7. How does leverage affect Martingale drawdown and margin pressure?
  Higher leverage allows larger positions with less capital, but it also accelerates margin calls during drawdowns. Many accounts fail due to margin exhaustion before price has a chance to reverse.
8. Why are stop-losses rarely used in Martingale EAs?
  Martingale strategies rely on recovery rather than accepting losses. Fixed stop-losses can close trades prematurely, making them ineffective once multiple counter trades are active.
9. Do equity protection and max-trade limits fully control risk?
  These features can limit further exposure, but they cannot reduce existing floating drawdown. Once margin pressure builds, equity protection often locks in losses rather than enabling recovery.
10. How should traders evaluate Martingale Expert Advisors realistically?
  Martingale EAs should be assessed based on drawdown behavior, margin usage, and transparency rather than profit curves alone. Sustainable performance depends on controlled risk, sufficient capital, and a clear understanding of how loss scenarios are handled, an approach emphasized in 4xPip’s EA development philosophy.
The post Hidden Risks of Martingale Expert Advisors and How They Impact Drawdown appeared first on 4xpip.
Are Free Forex Trading Bots for MT4 and MT5 Worth Running on Live Accounts? (2026-01-13)
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.

What Free Forex Trading Bots for MT4 and MT5 Actually Do

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.

Common Reasons Traders Choose Free Bots

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.

Performance Limitations of Free Bots on Live Accounts

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 and Account Safety Concerns

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.

Technical and Operational Issues to Consider

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.

When Free Bots May Be Useful and When They Are Not

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.

Summary

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

4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588

FAQs
1. What are free Forex trading bots for MT4 and MT5?
  Free Forex trading bots are Expert Advisors programmed to execute trades automatically on MetaTrader 4 or 5 platforms based on fixed rules or indicators. They are often distributed at no cost to allow traders to experiment with automation.
2. Why do traders use free bots?
  Traders use free bots mainly for accessibility and learning. They allow beginners to explore automated trading without financial risk and to observe how EAs interact with price data, orders, and risk parameters.
3. Can free bots be used safely on live accounts?
  Free bots can pose significant risks on live accounts. Many have generic strategies, aggressive risk settings, or rely on high-risk methods like Martingale or Grid systems, which can quickly lead to large drawdowns if not carefully managed.
4. What limitations do free bots have compared to professional EAs?
  Free bots typically have static strategies, limited customization, poor error handling, and minimal adaptability to changing market conditions. Professional EAs, like those developed by 4xPip, use defined strategy logic, ongoing optimization, and strong risk management made to live trading environments.
5. How do MT4 and MT5 bots differ technically?
  MT4 bots are coded in MQL4 and use simpler execution logic, while MT5 bots are written in MQL5, supporting faster execution, multi-asset trading, and more advanced order handling. Free bots often target only one platform and lack flexibility.
6. Are backtest results from free bots reliable?
  Backtest results can be misleading. Many free bots show optimized or curve-fitted historical performance, which ignores real-world factors like slippage, variable spreads, and broker-specific execution. Real live account performance may differ significantly.
7. What risk management issues are common with free bots?
  Many free bots have basic or aggressive risk settings that do not scale with account size. They often lack drawdown limits, equity protection, or trade suspension mechanisms, leaving live accounts exposed to large losses.
8. When are free bots useful?
  Free bots are best used for learning, testing, and observing automated trading behavior in demo accounts. They are valuable for understanding how EAs operate but should not be relied on for consistent live profits.
9. How should traders evaluate free bots before using them?
  Traders should assess a bot’s strategy logic, risk model, drawdown behavior, and execution consistency using demo or small test accounts. Reviewing code quality and documentation, when available, is also recommended.
10. How do professional EAs from 4xPip differ from free bots?
  4xPip EAs are built around defined strategy logic, tested execution, and risk parameters. They are designed for live trading conditions, offer platform-specific optimizations, and include safeguards that free bots typically lack, providing a safer and more predictable trading experience.
The post Are Free Forex Trading Bots for MT4 and MT5 Worth Running on Live Accounts? appeared first on 4xpip.
A Practical Guide to Secure EA Licensing for MetaTrader Developers (2026-01-13)
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.

Understanding How EA Piracy and Misuse Occur in MetaTrader

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.

Core Components of a Secure EA Licensing System

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 vs Server-Based License Verification Methods

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.

Implementing Account and Environment Binding for EAs

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.

Managing License Distribution, Updates, and User Access

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.

Common Mistakes and Practical Recommendations for Developers

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.

Summary

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

FAQs
1. Why is EA licensing important for MetaTrader developers?
  EA licensing protects the intellectual property embedded in an Expert Advisor. Without licensing controls, an Ex4 file can run on unlimited MetaTrader accounts and be shared freely, leading to revenue loss, loss of strategy control, and brand damage from outdated or modified copies circulating online.
2. What is the main cause of EA piracy in MetaTrader?
  The primary cause is unrestricted Ex4 distribution. Once a customer receives the setup file, it can be shared externally or used on multiple accounts unless technical controls are in place to restrict usage by account number, time period, or subscription status.
3. How does a license key work in an MT4 EA licensing system?
  A license key is entered into the EA inputs during installation. The EA then connects to a server or web portal to validate the key, check subscription status, and confirm whether the EA is authorized to run. Without a valid license, trade execution is blocked.
4. What does account binding mean in EA licensing?
  Account binding ties a license to a specific MetaTrader account number. On first activation, the EA automatically fetches and stores the account number in a database. This prevents the same license from being reused on other accounts, even if the Ex4 file is shared.
5. Why is server-based license verification more secure than local checks?
  Local checks rely on static logic inside the EA, which can be bypassed or copied. Server-based verification centralizes authorization, allowing real-time control over expiry, revocation, and account limits without modifying or redistributing the EA file.
6. Can an EA owner control how long an EA can be used?
  Yes. A proper licensing system enforces expiry dates linked to subscriptions. When a license expires or is revoked, the EA stops functioning and can display remaining validity directly on the chart, keeping usage transparent for both parties.
7. What happens if a customer changes their trading account legitimately?
  Through a centralized admin portal, the EA owner can update or reset account bindings without issuing a new Ex4 file. This ensures flexibility for valid customers while maintaining strict control over unauthorized use.
8. How does licensing help with monitoring and misuse detection?
  Because the EA communicates with a server, the EA owner can track active, expired, and revoked licenses. Repeated activation attempts or unusual usage patterns can be identified early, helping prevent abuse before it escalates.
9. Is code obfuscation enough to protect an EA?
  No. Obfuscation hides source logic but does not prevent an EA from running on unlimited accounts once distributed. Licensing must operate at the execution level to control who can run the EA and under what conditions.
10. When should developers implement EA licensing in the development process?
  Licensing should be planned and integrated early in the EA lifecycle. Treating it as an afterthought often leads to rushed or weak implementations. A well-designed licensing framework reduces disputes, simplifies support, and ensures controlled distribution from day one.
The post A Practical Guide to Secure EA Licensing for MetaTrader Developers appeared first on 4xpip.
Top Security Techniques to Stop Competitors From Copying Your Trading Algorithms (2026-01-11)
Proprietary trading algorithms are high-value intellectual property. They reflect strategy logic, risk models, execution rules, and market behavior insights that take significant time and capital to develop. In real-world trading, these algorithms are frequent targets for reverse engineering, unauthorized redistribution, and resale, especially when EA owners distribute only an Ex4 setup file without enforcing strict access control. Once copied or leaked, an EA can spread freely online, directly damaging both strategy exclusivity and revenue.

Algorithm theft can occur across multiple environments, including MT4/MT5 Expert Advisors, cloud-based trading bots, and API-driven systems where weak access control or poor license enforcement exists. As developers of an EA licensing system, we see these risks daily. In this article, we outline practical, proven security techniques used at the code, server, and operational levels to control who can use an EA, on which MetaTrader account number, and for how long, focusing on real mechanisms that prevent unauthorized use rather than theoretical protection.

Understanding How Trading Algorithms Are Copied

Trading algorithms are commonly copied through multiple technical and behavioral methods. In MT4 and MT5 environments, attackers attempt to decompile Ex4 setup files, analyze trade execution timing, or infer logic by observing order placement, stop-loss behavior, and position sizing over time. In API-driven and cloud-based strategies, monitoring API calls, request frequency, and execution responses can gradually expose strategy rules. From our experience, simply hiding source code is not enough to protect a trading bot from copying once it is actively running on a live account.

Beyond file-level attacks, strategy logic is often extracted through account mirroring, signal scraping, and long-term order-flow analysis. By copying trades across multiple accounts, competitors can statistically reconstruct entry filters and risk logic. This is why fully preventing copying is extremely difficult in real-market conditions. Instead, layered security is required, combining controlled EA execution on specific MetaTrader account numbers, time-based expiry, and server-side license validation. This approach, which we implement in our EA licensing system, focuses on limiting unauthorized usage and redistribution rather than relying on a single defensive measure.

Code Obfuscation and Compilation Techniques

Code obfuscation is a foundational step to protect a trading bot from copying by making algorithm logic difficult to read, modify, or reverse engineer. Techniques such as renaming variables, flattening control flow, and masking logical conditions increase the effort required to understand strategy behavior, even if someone attempts analysis at runtime. At 4xPip, we treat obfuscation as a defensive layer that slows down reverse engineering but does not replace access control, especially once an EA is deployed on a live MetaTrader account.

Using compiled formats like Ex4 and Ex5 binaries further limits direct access to source logic, since EA sellers only distribute the Ex4 setup file and never the Mq4 source code. Best practices include removing debug symbols, avoiding verbose logs, and applying control-flow obfuscation to reduce pattern recognition. When combined with our MT4 EA licensing system, where EA execution is restricted to specific MetaTrader account numbers and time-based expiry, compilation and obfuscation work as part of a layered approach to protect trading bots from getting copied or redistributed.

License Management and User Authentication Controls

License management is one of the most effective ways to protect a trading bot from copying or unauthorized redistribution. Using a license key allows us to bind EA execution to a specific MetaTrader account number and enforce strict usage rules. In our MT4 EA licensing system, a subscription or license is formed when a customer purchases an EA, and the EA can only operate on the approved account numbers defined by the EA owner. This prevents customers from sharing the Ex4 setup file with others, as the EA will not function without valid authorization.

Authentication is handled through server-side checks performed via the web portal, where the EA owner manages customers, subscriptions, expiry dates, and account numbers. When a customer installs the EA and inserts the license key for the first time, the account number is fetched and saved into the database automatically, removing manual effort and reducing errors. Expiration-based licenses further limit long-term exposure by ensuring the EA stops operating after a defined time period, with remaining expiry days displayed directly on the chart. This layered control model, implemented through our licensing infrastructure, significantly reduces the risk of trading bots getting copied while giving EA sellers full control over access and duration.

Server-Side Strategy Execution Models

In client-side execution, the full trading logic runs inside the EA on the customer’s MetaTrader terminal, which exposes the strategy to behavioral analysis and long-term reverse engineering. Server-side execution shifts logic to a controlled environment on the server or cloud, where only validated signals or execution instructions reach the client. From our perspective at 4xPip, combining server-side logic with a licensing system is an effective way to protect a trading bot from copying, since customers never receive access to the complete strategy flow or decision-making rules.

By keeping core logic on the server, access is enforced through authentication checks tied to license keys, MetaTrader account numbers, and active subscriptions managed via the web portal. This approach significantly reduces the risk of code analysis or redistribution, but it introduces trade-offs. Server-side models require reliable infrastructure, increase operational cost, and can add latency if not designed carefully. When implemented correctly, server validation and controlled execution provide a practical balance between performance and security, especially for EA owners focused on long-term protection rather than one-time distribution.

Trade Logic Masking and Execution Randomization

Masking trade logic is an effective technique to protect a trading bot from copying by reducing the visibility of clear entry and exit patterns. Instead of exposing full decision logic in one place, partial calculations and conditional checks can be distributed across multiple execution paths, making it harder to infer the underlying strategy from trade history alone. At 4xPip, we view logic masking as a complementary layer to our EA licensing system, where the EA seller already controls who can execute the EA and on which MetaTrader account number.

Execution randomization further complicates statistical reverse engineering without harming performance when applied within defined rules. Techniques such as slight variation in order timing, controlled randomness in lot sizing, or adaptive execution sequencing prevent competitors from identifying fixed behavioral patterns over time. When combined with license-based access control, expiry enforcement, and account binding managed through our web portal, these methods help EA owners reduce long-term exposure while maintaining consistent trading behavior for authorized customers.

Monitoring, Auditing, and Ongoing Security Maintenance

Continuous monitoring is essential to protect a trading bot from copying or misuse after deployment. Usage logs, license validation checks, and anomaly detection help identify suspicious behavior, such as an EA attempting to run on unauthorized MetaTrader account numbers or beyond an approved time period. Through the 4xPip web portal, EA owners can review total customers, active customers, and expired customers, allowing quick action when irregular usage patterns appear.

Security is not a one-time implementation. As MetaTrader platforms, trading environments, and attack methods evolve, licensing and validation mechanisms must be maintained and updated. 4xPip’s EA licensing system supports ongoing control through expiry-based subscriptions, account binding, and server-side verification. Technical safeguards are most effective when combined with clear licensing agreements and terms of use, reinforcing both operational control and legal ownership for EA sellers who want long-term protection.

Summary

Protecting proprietary trading algorithms is very important for EA developers and strategy owners, as these systems represent significant intellectual and financial investment. In live trading environments, algorithms are vulnerable to copying through decompilation attempts, behavioral analysis, account mirroring, and weak license enforcement across MT4/MT5, cloud-based bots, and API-driven systems. Because complete prevention is unrealistic, effective protection relies on layered security. This includes code obfuscation, compiled binaries, strict license management tied to MetaTrader account numbers, time-based expiry, server-side validation, and ongoing monitoring. When combined thoughtfully, these techniques limit unauthorized use, reduce redistribution risk, and give EA owners long-term control without exposing core strategy logic.

4xPip Email Address: services@4xpip.com

4xPip Telegram: https://t.me/pip_4x

4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588

FAQs
1. Why are trading algorithms considered high-value intellectual property?
  Trading algorithms encapsulate strategy logic, risk management rules, and execution behavior that often take years of research and capital to develop. Once copied, this value is lost because competitors can replicate the strategy without incurring the original development cost.
2. How do competitors typically copy or analyze trading algorithms?
  Common methods include decompiling compiled EA files, observing trade behavior over time, mirroring accounts, scraping signals, and statistically analyzing order flow to infer strategy rules, even without direct access to source code.
3. Is distributing only an Ex4 or Ex5 file enough to protect an EA?
  No. While compiled files limit direct source access, they do not prevent runtime analysis or unauthorized sharing. Without license enforcement and access control, Ex4 or Ex5 files can still be misused.
4. What role does code obfuscation play in EA security?
  Code obfuscation makes the internal logic harder to understand or reverse engineer by altering variable names, control flow, and logical structures. It slows down analysis but works best as part of a broader security strategy.
5. How does license management help prevent EA copying?
  License management binds EA execution to specific MetaTrader account numbers and enforces usage rules such as expiry dates. Even if the file is shared, it will not function without valid authorization.
6. Why is server-side license validation important?
  Server-side validation ensures that license checks, account binding, and subscription status are verified externally rather than relying solely on client-side logic, which can be manipulated or bypassed.
7. What is server-side strategy execution, and why is it more secure?
  In server-side execution models, critical decision-making logic runs on a controlled server rather than inside the client EA. This prevents users from accessing or analyzing the full strategy flow, significantly reducing exposure.
8. Can trade logic masking really reduce strategy copying?
  Yes. By distributing calculations and masking clear entry or exit patterns, logic masking makes it harder for competitors to reconstruct a strategy from trade history alone, especially when combined with other controls.
9. How does execution randomization protect trading strategies?
  Small, controlled variations in order timing or execution behavior reduce predictable patterns that competitors rely on for statistical reverse engineering, without affecting overall strategy performance.
10. Why is ongoing monitoring necessary after an EA is released?
  Threats evolve over time. Continuous monitoring of license usage, account activity, and anomalies allows EA owners to detect misuse early, revoke access if needed, and maintain long-term control over their trading algorithms.
The post Top Security Techniques to Stop Competitors From Copying Your Trading Algorithms appeared first on 4xpip.

Banyan Hill Publishing

Is Blue Origin About to Have Its AWS Moment? (2026-02-20)
Back in the mid-2000s, Amazon (Nasdaq: AMZN) was already an extremely successful retailer. It had the kind of brand recognition, scale and logistics that most competitors simply couldn’t match.

But the move that helped turn Amazon into the tech powerhouse it is today had nothing to do with selling more toilet paper online.

It had everything to do with selling infrastructure.

You see, Amazon had built large internal computing systems to run its operations. These systems helped the company manage data, handle traffic spikes and coordinate its warehouses.

Eventually, Amazon realized that these systems’ capabilities weren’t just useful internally, they were something that other businesses needed too. And they weren’t easy to reproduce. Building them required serious investment and technical depth.

This led to Amazon Web Services.

At the time of its inception, AWS didn’t seem like a big deal. Renting computing power to developers certainly didn’t appear to be the defining opportunity of the decade.

But it solved a real bottleneck, giving startups and enterprises access to serious computing resources without having to build their own facilities.

Today AWS generates tens of billions of dollars a year, and it accounts for over 60% of Amazon’s total operating profit. More importantly, it sits underneath huge portions of the modern internet.

AWS built the foundation that software companies run on. And it went on to reshape the entire tech industry.

Now, Jeff Bezos might be pursuing a similar playbook in space.

Building for Data Highways

Most of the attention around satellite connectivity focuses on SpaceX’s Starlink network.

That makes sense. Elon Musk’s Starlink is largely a retail business, connecting households and small users to the internet directly. It reaches millions of users and continues expanding globally.

And it’s already generating serious revenue. Analysts estimate Starlink is bringing in roughly $10 billion a year, and that number is only going up.

But Blue Origin — the space company founded by Bezos in 2000 — has a different goal for its new TeraWave constellation.

Image: Blue Origin

Instead of chasing household subscribers, the company is targeting the heavy data traffic moving between cloud platforms, enterprise networks and government systems.

That’s a smaller customer base, but one that spends far more per connection.

The plan calls for more than 5,400 satellites operating across two orbital layers. The low-orbit segment — over 5,000 spacecraft — is designed to deliver connection speeds reaching about 144 gigabits per second. Above that, a backbone layer of 128 satellites is expected to move data using optical links reaching roughly 6 terabits per second.

Again, this network isn’t being built to stream Amazon Prime Video into your living room. It’s meant to move massive volumes of information across networks.

Blue Origin has indicated the network is designed for roughly 100,000 high-capacity customers worldwide. Deployment is expected to begin in late 2027.

Do you notice a familiar strategic logic here?

Amazon dominated cloud computing by building the infrastructure others rely on. Blue Origin appears to be pursuing a similar strategy in space.

And it could end up being just as profitable.

Compared with the vast networks on Earth, the satellite internet market remains small. But it’s expanding quickly, projected to more than double by 2030.

Source: marketsandmarkets.com

Broader industry forecasts that include enterprise services and government demand push potential revenue into the $25 to $30 billion range.

That’s why money is pouring into this sector to build the infrastructure needed to support it.

Industry investment already runs into the tens of billions annually as companies fund launch systems, orbital hardware and network capacity.

And a big part of the interest here comes down to global reach. Because satellites can connect places fiber simply can’t.

There’s also reliability. Space-based networks give governments and companies backup paths when ground systems fail.

But the newest force pushing this concept forward is computing demand.

AI workloads are exploding and cloud systems are spreading across the planet. This creates pressure to move enormous amounts of data quickly and reliably around the globe.

Being able to transmit from space solves this problem.

Blue Origin seems to be leaning into this new reality. Which means SpaceX and Blue Origin are building their satellite networks from entirely different directions.

Starlink scaled outward first. It deployed satellites rapidly, built a global user base and created a service that generates meaningful revenue today. Subscriber growth and expansion into mobile connectivity are extending this model further.

In other words, Starlink is taking a product-driven strategy built on reach.

But by targeting the high-capacity pathways that large networks depend on, Blue Origin’s direction appears to be far more platform-driven.

Of course, neither approach is inherently superior. Both can succeed.

But history shows that companies involved in building infrastructure tend to have a lasting influence. That’s because everything else runs on top of it.

And Bezos knows it. AWS is proof.

Perhaps that’s why he posted this cryptic image on X the other day, tagging Blue Origin. Because he envisions it as the tortoise to Starlink’s hare.

Here’s My Take

Amazon became a leader in cloud computing by building the foundation everything runs on.

Blue Origin appears to be trying something similar in orbit.

If TeraWave develops as outlined, this could represent Blue Origin’s most strategically meaningful move to date. Because as data traffic grows and activity in orbit expands, the companies that control high-capacity connections could shape how the space economy develops.

SpaceX still leads in scale and execution today. But if Blue Origin establishes itself in the layer its targeting, it could become a far more important competitor than today’s headlines might suggest.

After all, Bezos has already proven that bets like this one can redefine entire industries.

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!
Generational Wealth or Generational Debt (Your Choice) (2026-02-20)
One of our favorite stocks in the market just spiked 2,638%.

Let that sink in.

If you had $2,000 of this stock before the spike, at its peak, your account would be worth over $52,000 … from one trade.

And it’s far from the last spike of its kind. (As always, past performance does not indicate future results.)

All of these setups follow a repeating strategy.

The same strategy I’ve taught for almost 20 years.

And while I pull millions of dollars from the market with this easy-to-follow process, I’ve seen traders on the wrong side of this pattern dig holes so deep their grandchildren will be in debt.

Not because the market is rigged. Not because they were unlucky. They just chose the wrong strategy and refused to learn the difference.

Granted, it’s not their fault (in the beginning). There’s a lot of false information, fake gurus, and bull-crap patterns out there.

But I’ve traded both sides of this momentum…

I know the true potential for gains and losses better than anyone.

There’s a light side and a dark side to this market. Most veterans know the difference immediately. But for new traders, the lines are completely blurred.

And with blurry vision, they eventually stumble right into a lion’s den.

I’m setting the record straight right now:

• The best strategy to use in the market.

• And a tempting “strategy” to steer clear of.

Choose a future full of market gains…

The Dark Side

I’ve seen countless traders blow up their accounts with this one “strategy.”

It looks logical on the surface. As simple as 2+2=4. Or the law of gravity, what goes up must come down.

Here’s the setup:

Almost every day in the market, traders see a small-cap penny stock spike +100%.

Whether it has news or not … Anyone who’s been around long enough will tell you these penny stock spikes don’t last.

As a result, traders start to think, “ I could short the stock at the top and ride it all the way back down.”

They’re not wrong about the pattern. When a penny stock spikes, it often crashes back toward pre-spike levels within a few days. Sometimes intraday. The logic feels sound.

That’s exactly what makes this so dangerous.

The Most Common Market Trap

When too many short sellers pile into the same small-cap stock, they squeeze each other out.

The price pushes higher and every short seller scrambles to cover their position, buying more shares. That pushes the price up further, which forces more covering, which pushes it higher still.

There’s no ceiling. No limit. No gravity.

As a result, unlike a regular long trade, short sellers can lose exponentially more than their original position. The stock can go up 500%, 1,000%, even more.

I’ve seen it happen in real time.

For example, on February 17, Polaryx Therapeutics Inc. (PLYX) spiked 2,638% during premarket hours.

This was pure short-squeeze momentum.

If you shorted that spike and guessed the top at 200%, you were in agony on your way to 500%.

At 1,000%, your future children dropped a whole tax bracket.

And at 2,638%, even your grandchildren were wincing.

That’s not a bad trade. That’s a generational loss.

I’ve seen traders blow up six-figure accounts in a single morning chasing this exact pattern.

Savings gone. Margin accounts wiped. Money borrowed from family: evaporated.

The math looked simple. But the market said otherwise.

The market doesn’t care that your logic was right. Price action is king. And price action on a short squeeze is absolutely vicious.

This isn’t a strategy. It’s a trap with a logical-looking door.

The Light Side

For every Yin there’s a Yang.

While short sellers got obliterated on PLYX, another group of traders quietly made a killing. And they didn’t do anything new…

They followed the same patterns I’ve traded and taught for almost 20 years.

Short squeezes don’t create new patterns. They amplify existing ones. The emotion that drives the price action is identical: fear and greed, the same cocktail that’s moved markets since the beginning of time.

The only difference? When overzealous short sellers pile in, those emotions get turned up to an eleven.

The spikes get more explosive. The breakouts get cleaner. And the opportunity gets bigger!

PLYX was a textbook breakout pattern. Picture perfect. The kind of setup I’ve drawn on whiteboards in front of thousands of students.

Source: StocksToTrade

PLYX chart intraday, 1-minute candles.

Now, look what happened the very next minute, at 6:35 a.m. ET:

Source: StocksToTrade

PLYX chart intraday, 1-minute candles.

The spike is so big you can’t even see the prior breakout level. And traders who were long had a full hour to sell for a profit until the price finally dipped below the prespike level.

That’s the strategy.

Trade the breakout pattern. Ride the momentum. Take gains. And move to the next one.

Don’t fall for the siren song of shorting crappy penny stock spikes. Chatroom pumpers and Twitter gurus make it sound sexy: “Easy money on the way down.”

In reality, it’s a first-class ticket to going broke.

If you have any questions, email me at SykesDaily@BanyanHill.com.

Cheers,

Tim Sykes
Editor, Tim Sykes Daily
Chart of the Week: Are We Back in 1997? (2026-02-19)
I came across a fascinating chart on X a few weeks ago that stirred up some controversy.

It builds directly on last week’s Chart of the Week, where we talked about how the artificial intelligence arms race is showing up in earnings and stock prices.

But this new chart takes that idea a step further by suggesting that today’s AI-driven market might be replaying the late-1990s internet boom all over again. And if that’s true, then what we’ve seen so far might only be the warm-up.

It’s a clever chart. But it’s also misleading.

Same Shape, Different Story

This week’s chart overlays the Nasdaq’s performance after the Netscape IPO in 1994 with the Nasdaq’s performance after ChatGPT’s release in late 2022.

Through the same number of trading days, both lines are nearly a perfect match.

Source: Bespoke Investment Group

As you can see, the chart measures roughly 742 trading days after two technological inflection points. Through that window, the Nasdaq gained about 122% after Netscape and about 109% after ChatGPT.

Taken at face value, this must mean that history is repeating… right?

That’s not necessarily the case.

You see, back in 1997, most of the companies powering the dotcom boom weren’t profitable. In fact, many had minimal revenue.

The average dotcom IPO in 1999 had negative earnings and no clear path to cash flow. Their valuations were based on expected website traffic and hoped-for growth. In some cases, startups spent up to 90% of their budget on advertising to build brand awareness rather than focusing on profit.

Today’s AI leaders look nothing like that.

Take Microsoft (Nasdaq: MSFT). In its most recent fiscal year, it generated more than $100 billion in net income. Its cloud division, Azure, continues to post strong double-digit growth, driven in part by AI workloads.

Alphabet (Nasdaq: GOOG) also clears north of $90 billion in annual profit. Google Cloud revenue now runs above $30 billion annually and continues expanding as AI tools get embedded into enterprise software.

Then there’s Nvidia (Nasdaq: NVDA). In its latest reported quarter, revenue surged more than 62% year over year, with data center sales accounting for the vast majority of growth. The company is producing tens of billions in quarterly revenue, with margins most dotcom executives could only dream of in 1999.

Even newer AI companies seem to be faring far better than the vast majority of internet startups in the 90s.

OpenAI has reported a multi-billion-dollar annualized revenue run rate. And Anthropic has raised capital on the back of enterprise demand measured in billions of dollars.

What’s more, AI is embedding itself into the economy much faster than the internet did.

Enterprise customers are already paying for AI copilots inside productivity software, and cloud providers are monetizing AI inference workloads. On the hardware side, semiconductor firms are selling out of high-performance GPUs years in advance.

So, even though that chart looks eerily similar, there’s a big difference between now and then.

The internet boom was a story about future adoption. But today’s AI wave is already showing up in earnings.

Could enthusiasm for the potential of AI be running ahead of reality? Sure. Markets tend to do that.

But this time, the fundamentals are already massive.

Here’s My Take

The Netscape comparison in today’s chart works visually because both periods followed a major technological catalyst.

And the overlay is uncanny.

But when you dig beneath the surface, you can see that the economic engine driving today’s market is completely different.

The dotcom rally was fueled by small, unprofitable companies with untested business models. But the leaders of this cycle are already wildly profitable and deeply embedded in the global economy. These are trillion-dollar companies producing record cash flow.

If anything, this environment more closely resembles the early buildout of cloud computing in the 2010s than the speculative frenzy of 1999.

In other words, today’s market might rhyme with history.

But it’s not replaying it.

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!
Yearly Losses ➡️ Millionaire Trader: 1 Simple Philosophy (2026-02-19)
Imagine hitting a hot streak after months of studying, feeling like you finally hit your stride…

Only to watch your trades turn ice-cold, vaporizing all your profits and then some.

It’s a painful, frustrating experience most of us know all too well.

For Jack Schwarze, one of my students, it lasted for years!

So, how can he stand in front of traders today with $2.5 million in trading profits?

Source: Millionaire Media, LLC

For Jack, it’s all about trading what he knows, which includes:

• Shorting multi-day runners.

• Buying morning panics.

• Buying multi-day breakouts.

He doesn’t often win, only about 53% of the time.

But he keeps his losses small and takes them fast while leaning into his profitable trades.

However, the real key to his success, which turned everything around, was this simple philosophy…

How fast can I fix the flaws in myself and my system?

This feels like something out of a Silicon Valley startup…

But when you apply it to your trading, it becomes incredibly powerful.

I want to take you through some practical examples to help you overcome your obstacles.

Here’s how it works…

Everyone is Different

Before we dive in, I need to acknowledge the elephant in the room.

Many of us face similar problems: overtrading, forgetting a stop loss, too much risk, etc.

How we deal with our problems is unique.

True, you might find a lot of similarities with another trader.

But what works for one person doesn’t necessarily work for another.

That’s a big reason why I load Tim Sykes Daily with so much content.

I can explain a simple concept like cutting losses quickly. And someone might understand it clear as day the first time I mention it.

However, it could take another person months to study the same concept before it clicks.

The point is not to compare or get down on yourself.

Take each challenge as it comes. Turn it into an opportunity. Work through it the best way for YOU.

Know Your Enemy

To this day, Jack battles emotions.

He feels that tug and pull every time a stock makes a sharp move.

FOMO causes him, like so many others, to jump into trades at bad entries that can turn good setups into lousy ones.

Very few people can will emotions out of their trading.

Instead, you have two options: practice and automation.

Yes, you can practice how and when to take losses. In fact, it’s a good thing, so long as you do it cheaply or even with a simulated account.

That way, muscle memory kicks in when you’re trading for real money, and you don’t succumb to emotions.

However, it’s also important to be comfortable with your trades.

Jack strongly believes in trading what he knows with the size he’s comfortable with.

When you take an oversized position, worries start to creep in. If the trade doesn’t work immediately, you question your judgment, and the setup and eventually get into analysis paralysis.

Any changes you make to your trading, from size to strategy, should be done gradually.

And the more emotional you are, the slower you should go.

Be patient. There’s plenty of trading left before the world ends.

Quality Not Quantity

This doesn’t just apply to trading.

It applies to how you study and learn.

You can study 18 hours a day. But if it’s not productive, you won’t get very far.

Instead, limit your focus to one idea at a time.

Review your trades, and especially the decisions you made.

Ask yourself whether they adhered to your strategy and plan.

At first, you’ll spend a lot of time constantly beating back small mistakes.

However, as they decline, you’ll be left with the big ones that cause serious drawdowns.

Deal with those the same way.

Take them apart piece by piece and work on one component at a time.

For Jack, he would oversize his trades on tickers, thinking he wanted the extra risk, but mentally, he didn’t.

He pushed himself before his mind was ready, resulting in early stops with extra losses … despite getting the trade setup right!

Trading is an evolution and a regurgitation process.

You move forward while always shoring up the basics.

Take it one step at a time and enjoy the journey.

If you have any questions, email me at SykesDaily@BanyanHill.com.

Cheers,

Tim Sykes
Editor, Tim Sykes Daily
The Wisdom of the Crowd Meets the Power of AI (2026-02-18)
I enjoy watching the Super Bowl as much for the commercials as I do the game. And I know I’m not alone.

Sure, the game might deliver more excitement in the moment. But the ads tell you something about where business and culture are heading.

After all, a 30-second ad at this year’s Super Bowl cost between $8 and $10 million. You don’t spend that kind of money unless you’re trying to cement your place in the mainstream and signal that you’re building something big.

This year, that meant a wave of AI ads. Startups and tech giants alike were pitching automation, copilots and digital assistants as the new norm. The AI theme was unmistakable, even though not every spot hit the mark.

But do you know what I didn’t see during this year’s Super Bowl?

There wasn’t a single ad for prediction markets.

And that wasn’t an accident. The NFL banned advertising from platforms like Kalshi and Polymarket for the entire 2025 season, despite these platforms growing fast and attracting billions in funding and mainstream attention.

In fact, the NFL specifically kept these platforms out of the Super Bowl broadcast, putting them in the same prohibited category as tobacco and firearms.

The league says it’s concerned with integrity. League officials argue that these markets lack the safeguards of regulated sports betting, including protections against manipulation and strict data rules.

And maybe for good reason.

Because prediction markets — especially when combined with AI — are becoming something much more powerful than a novelty bet on the future.

They’re becoming engines of collective intelligence.

AI Joins the Crowd

Prediction markets work on a simple idea.

Instead of asking experts to guess what happens next, you let thousands of participants trade contracts tied to outcomes. Prices move based on conviction and money on the line. Over time, the market aggregates information, incentives and sentiment.

This isn’t just a theoretical approach.

One analysis of Polymarket data found the platform was about 90% accurate in forecasting outcomes a month ahead of events and up to 94% accurate shortly before they occurred.

And we saw that dynamic play out in 2024.

During the presidential election cycle, more than $3.3 billion flowed through Polymarket contracts tied to the race, with industry estimates putting total market activity closer to $3.7 billion.

And as all that money moved, the market odds started to differ from what polls were showing.

As the election got closer, markets priced Donald Trump’s chances as much higher than Harris. Yet, many surveys at the time framed the race as essentially even.

Large traders leaned into those signals. One participant alone placed positions with potential payouts near $46 million, as probabilities shifted toward roughly 62% versus 38%.

Down the ballot, the same thing was happening. Candidates favored by market pricing went on to win about 89% of competitive Senate races.

Researchers studying the election noted how probabilities evolved in real time across months of trading activity, highlighting a responsiveness traditional polling structures struggle to match.

But when you add artificial intelligence into the mix, the dynamic evolves even further.

Researchers studying conversational AI-assisted forecasting found that groups collaborating through AI mediation predicted Major League Baseball outcomes with 78% accuracy, beating Vegas betting markets that landed at 57%.

Source: unanimous.ai

Again, this advantage didn’t come from AI predicting alone. It came from using AI to structure debate and sharpen human judgment.

And we’re seeing similar results elsewhere.

One study showed that when human forecasters had access to advanced language model assistants, their prediction accuracy improved between 24% and 28%.

Yet, fully automated models trying to predict financial markets still struggle. Many approaches barely break past the mid-50% accuracy range, and even advanced hybrid systems only push accuracy toward about 60%.

The pattern here is pretty clear.

AI isn’t perfect at forecasting, and neither are we. Machines miss context, while humans bring their own biases.

But when you put them together, accuracy improves. And that’s starting to have real-world consequences.

Prediction markets take a wide range of opinions and turn them into prices that reflect probability. AI then digs into that data, finds structure and highlights signals that people wouldn’t see on their own.

Once those signals exist, they can influence decisions across investing, operations, risk management and many other areas.

So I can see why the NFL is uneasy about polymarkets. These platforms don’t just surface information quickly. They reflect public sentiment in real time, and that can shape behavior.

For a league built on competitive integrity, that’s a risk it can’t afford to ignore.

Here’s My Take

Prediction markets proved that crowds can outperform experts. AI is now proving that when these crowds are structured and sharpened by machines, they can do even better.

And it’s hard to ignore where this is heading.

Intelligence is changing. We’re moving toward a world where people and machines think alongside each other in real time.

Forecasting is simply the first place we see it happening today. But I don’t believe this hybrid intelligence will stay confined to prediction markets.

Wherever important decisions depend on probabilities and incentives, combining human networks with machine intelligence could improve the outcome. I’m talking about things like capital allocation, supply chains, political strategy and corporate planning.

Which means prediction markets could eventually evolve into infrastructure for decision-making itself.

And when that happens, we might look back at today’s polymarkets debates the same way we look at early arguments about online trading.

The moment before adoption became a foregone conclusion.

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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