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Mercado Minerals Ltd. (CSE: MERC) ("Mercado" or the "Company") is pleased to report continued progress from ongoing exploration activities at its flagship Copalito Project ("Copalito" or the "Project"). The Company's technical team in Mexico has been actively mapping, sampling, and advancing preparations for Mercado's inaugural 3,000-metre diamond drill program.
Exploration Highlights
Discovery of New Veins and Outcrops
Prospecting across underexplored areas of Copalito has led to the discovery of multiple new vein occurrences in outcrop. Three newly identified areas of vein mineralization, which occur as quartz to quartz-carbonate veins, vein breccias and stockworks that range in width from 0.5 metres to 1.5 metres. Individual vein outcrops have been traced over a strike length of 1 metre to 10 metres, with two of the three new areas having veins exposed intermittently over a strike length of approximately 100 metres and 200 metres, respectively (Figure 1).
One of the new vein discoveries, currently interpreted to be the extension of the 5 Señores vein, occurs approximately 1 kilometre to the northwest of the last known location of the vein. This vein segment can be traced intermittently in two large outcrops over approximately 100 metres of strike length.
The second vein discovery, located near a historical surface float sample that returned 460 g/t silver, 0.31 g/t gold, 0.17% lead and 0.16% zinc, appears to be an extension of either the Cobriza or El Pilar veins. This new vein can be traced intermittently in four outcrops over 200 metres of strike length. The reader is cautioned that the above assay result is of a historic nature and that grab and float samples are not reliably indicative of the nature of the vein mineralization.
The third discovery is located approximately 500 m southwest of the 5 Señores vein, in an area with no previously documented mineralization. The discovery outcrop occurs as silicification and quartz stockwork found in andesite, which hosts galena sulphides and potentially silver-bearing sulphosalts. This area is intriguing as it is potentially located outside of the Copalito Graben, within which all previous known mineralization has been discovered.
All newly identified veins and mineralization have been sampled and are ready for shipment and analysis. Results from these samples will be released to the market once received. The full significance of the newly identified veins and mineralization is unknown pending further investigation and assay results.

Figure 1: Plan map of Copalito vein array with 3 areas of new mineralization occurrences outlined.
To view an enhanced version of this graphic, please visit:
https://images.newsfilecorp.com/files/12124/284460_fb544d67545cbb8f_001full.jpg
Drone Airborne Magnetic Survey
The high-resolution drone based magnetic survey has been completed, with data now being compiled for detailed interpretation. Early integration of magnetic results with existing geological and geochemical datasets is yielding encouraging correlations. Preliminary imagery highlights magnetic lineaments that correlate with known structures that host veins and mineralization, as well as new magnetic signatures away from known veins that have the potential to reveal new structures, potential veins and extensions to known veins. Current mapping and prospecting efforts in the areas of these new magnetic signatures have encountered new structures and vein mineralization discoveries that support this correlation.
Drone LiDAR Survey
Processing of the completed drone LiDAR survey is underway. Initial interpretation is expected to enhance understanding of surface expressions, identify subtle topographic features associated with veining, reveal areas with historic mine workings and highlight new areas of interest for sampling and mapping.
Soil Sampling
A systematic soil grid covering the know vein system and un-explored portions of Copalito is now 25% complete. The program is designed to fingerprint the soil geochemical signature over the known veins and expand the grid towards the northwest to help further define the extension of existing veins, or identify new target areas. This may reveal signatures that can aid in identifying new veins and vein systems in underexplored areas as well as providing insight into where vertically in the mineralizing system the outcropping veins at Copalito are located.
CEO Comments
Daniel Rodriguez, CEO & Director, comments "Our team is firing on all cylinders as we advance Copalito toward our first drill program. Prospecting in underexplored areas is already proving highly rewarding, and I'm eager to see the assay results from the newly discovered veins. Our technical team in Mexico continues to demonstrate exceptional expertise in the Sierra Madre, and with drilling on the horizon, I look forward to being on the ground with them as we take this next major step."
Qualified Person
The technical information in this news release has been prepared in accordance with the Canadian regulatory requirements set out in National Instrument 43-101 (Standards of Disclosure for Mineral Projects) and was reviewed and approved by Kelson Willms, P.Geo., of Archer, Cathro & Associates (1981) Limited. Mr. Willms is a Qualified Person for the purposes of National Instrument 43-101
About Mercado Minerals Ltd.
Mercado Minerals Ltd. (CSE: MERC) is a silver-focused exploration company targeting the next world-class discovery in Mexico's emerging Western Silver Belt, part of the prolific Sierra Madre Occidental mining district. With a proven team boasting extensive experience in Mexican exploration, Mercado is actively advancing multiple projects across more than 3,000 hectares. The Company is committed to creating shareholder value through disciplined exploration, strategic growth, and discovery-driven results.
For further information, contact:
Daniel Rodriguez
CEO & Director
Phone: (604) 353-4080
Email: drodriguez@mercadominerals.com
John Fraser
VP Business Development & Director
Phone: (604) 838-7677
Email: jfraser@mercadominerals.com
Forward-Looking Statement (Safe Harbor Statement):
This press release contains forward-looking statements within the meaning of applicable securities laws. The use of any of the words "anticipate," "plan," "continue," "expect," "estimate," "objective," "may," "will," "project," "should," "predict," "potential" and similar expressions are intended to identify forward-looking statements. In particular, this press release contains forward-looking statements concerning the Company's exploration plans and the intended use of proceeds from the Offering. Although the Company believes that the expectations and assumptions on which the forward-looking statements are based are reasonable, undue reliance should not be placed on these statements because the Company cannot provide assurance that they will prove correct. Forward-looking statements involve inherent risks and uncertainties, and actual results may differ materially from those anticipated. These forward-looking statements are made as of the date of this press release, and, except as required by law, the Company disclaims any intent or obligation to update publicly any forward-looking statements.
Neither the Canadian Securities Exchange nor its Regulation Services Provider (as defined in the policies of the Canadian Securities Exchange) accepts responsibility for the adequacy or accuracy of this release.

Panther Metals PLC (LSE: PALM), an exploration company focused on mineral projects in Canada, is pleased to announce that it has signed a letter of interest ("LOI") with Traxys Europe SA, a division of Traxys Group ("Traxys"), a global commodity trading and marketing market leader.
The non-binding LOI concerns Panther's Winston Tailings Project and is a formal recognition of an ongoing engagement between both parties as Panther progresses work to declare a Mineral Resource estimate, as part of series of ongoing workstreams to quantify, evaluate and permit the contained high-grade gold (Au), gallium (Ga), silver (Ag), zinc (Zn), copper (Cu), indium (In) and cobalt (Co) and other recoverable minerals located within the historic Winston Lake Mine tailings storage facility near Schrieber, Ontario, Canada.
About Traxys
Traxys is a physical commodity trader and merchant in the metals and natural resources sectors. Its sourcing, logistics, financing and marketing services are conducted by over 550 employees in over 20 offices worldwide, and its annual turnover is in excess of US$8 billion. Traxys designs for its supplier and customer base custom-made supply chain solutions. The group is active in the non-ferrous metals, ferro-alloys, minerals, industrial raw minerals, and energy industries, as well as green transition metals.
Traxys is committed to the highest internationally recognised principles for responsible business conduct, and to ensuring that its operations are equitable, sustainable, and transparent.
Traxys premises its practices on environmental, social, and governance (ESG) standards that enable Traxys to set a leading example for the responsible sourcing and trading of metals and minerals. To learn more about Traxys, go to: www.traxys.com.
Darren Hazelwood, Chief Executive Officer commented:
"We are extremely pleased to be in discussions with Traxys at this important stage in the development of the Winston Lake Tailings Project.
As a globally recognised leader in the financing and marketing of metal concentrates, Traxys brings an opportunity for a powerful combination of commercial expertise and the potential to deliver structured financial support aligned with future offtake.
We believe the LOI with Traxys represents a strong third-party endorsement of the Project's technical and economic potential.
The involvement of Traxys with their global scale and capability, potentially offers the capacity to significantly strengthen Panther's pathway, while providing a clear signal of confidence to our shareholders and the wider market as we advance the Winston Tailings Project towards production."
For further information, please contact:
Panther Metals PLC: Darren Hazelwood, Chief Executive Officer: | +44 (0)1462 429 743 +44 (0)7971 957 685 |
Brokers: | |
Optiva Securities Limited Christian Dennis Mick McNamara | +44 (0)20 3137 1902 |
Hybridan LLP Claire Louise Noyce | +44 (0)20 3764 2341 |
SI Capital Limited Nick Emerson | +44 (0)1438 416 500 |
Obonga Project - Advancing a High-Impact VMS and Critical Minerals District
Panther Metals' Obonga Project in Ontario continues to demonstrate strong potential as a district-scale exploration opportunity targeting base and critical minerals. Since acquiring the Obonga Greenstone Belt in July 2021, the Company has advanced multiple high-priority targets including Wishbone, Awkward, Survey, Ottertooth, and Silver Rim.
On 9 February 2026 Panther announced plans for an approximately 2,000-metre diamond drilling program at the Wishbone Prospect, following the grant of an Exploration Permit in June 2024 valid through 2027. Previous work confirmed compelling VMS-style mineralisation, including 27.3m of massive sulphide and 51m of sulphide-dominated mineralisation across multiple lenses, supported by high-grade copper anomalies in lake sediments.
In July 2024, Panther secured an Exploration Permit for Awkward West, enabling up to 31 drill holes. Historic drilling returned 27.2m at 2.25% TGC, with zones exceeding 5% TGC, alongside indications of nickel, copper, and platinum group elements, aligning with the Company's critical minerals strategy.
High-resolution magnetic and electromagnetic surveys continue to refine drill targeting across Obonga. Survey and Ottertooth remain highly prospective, hosting multiple untested geophysical anomalies and historic massive sulphide intercepts.
Winston Project - Tailings Evaluation and MRE Pathway
Panther Metals' Winston Project represents a near-term, development-focused opportunity centred on the evaluation of historic mine tailings and has been the subject of prior technical and commercial assessment involving Extrakt.
Current work is focused on tailings sampling, metallurgical testing, and data validation to define metal content, recoverability, and support the preparation of a Mineral Resource Estimate (MRE). This approach provides a clear value-creation pathway with lower geological risk than greenfield exploration and aligns with modern reprocessing and critical mineral's themes.
Dotted Lake Project - Hemlo-Adjacent Polymetallic Opportunity
Panther Metals' Dotted Lake Project, acquired in July 2020, is located approximately 16km from Barrick Gold's Hemlo Mine, within a well-established mining region.
Early exploration identified multiple gold and base metal anomalies, with initial drilling confirming gold mineralisation. In early 2025, follow-up drilling materially advanced the project, confirming nickel and magnesium mineralisation within an ultramafic intrusion and identifying a VMS-style system, significantly expanding the project's polymetallic potential.
The program refined structural controls, extended mineralisation, and identified multiple new drill targets, positioning Dotted Lake as a high-upside, multi-commodity exploration asset.
Commercial Strategy - Focused Value Creation
Panther Metals is focused on disciplined, discovery-driven value creation through efficient capital deployment and technical execution. With Obonga delivering high-impact exploration, Winston providing a resource-focused development pathway, and Dotted Lake offering polymetallic upside, the Company maintains a balanced portfolio aligned with favourable commodity market conditions.
The Company's strategy is to advance high-quality assets along the most efficient technical pathway, delivering tangible milestones that underpin long-term shareholder value.

First Class Metals PLC ("First Class Metals" "FCM" or the "Company") the UK listed company focused on the discovery of economic metal deposits across its exploration properties in Ontario, Canada, is pleased to provide an update on preparations for the forthcoming drill programme at the Roy structure on the Sunbeam Property. Drill mobilisation has now been completed.
Highlights
Marc J. Sale CEO First Class Metals Commented:
"The mobilisation of the drill rig to Roy and the anticipation of drilling starting this weekend marks an important step forward in advancing the Sunbeam Property. Forage has recently completed a programme in the district and brings both local experience and a strong operational reputation.
The rapid progression from planning to mobilisation at Sunbeam demonstrates that FCM is a company focused on delivery. Having recently completed drilling at North Hemlo and now positioning to commence at Sunbeam, we are advancing our exploration strategy in a disciplined and systematic manner.
The Roy trend represents a robust mineralised structure of district scale in a geological environment know to host significant resources."

Figure 1 showing the stripped area at Roy which returned 18.8g/t Au and will be the focus of the drilling.
Qualified Person
The technical disclosures contained in this announcement have been drafted in line with the Canadian Institute of Mining, Metallurgy and Petroleum standards and guidelines and approved by Marc J. Sale, who has more than 30 years in the gold exploration industry and is considered a Qualified Person owing to his status as a Fellow of the Australian Institute of Mining and Metallurgy.
For Further Information:
Engage with us by asking questions, watching video summaries, and seeing what other shareholders have to say. Navigate to our Interactive Investor hub here:
For further information, please contact:
James Knowles, Executive Chair
Email: JamesK@Firstclassmetalsplc.com
Tel: 07488 362641
Marc J Sale, CEO
Email: MarcS@Firstclassmetalsplc.com
Tel: 07711 093532
Novum Securities Limited (Financial Adviser)
David Coffman
Website: www.novumsecurities.com
Tel: (0)20 7399 9400
Axis Capital Markets (Broker)
Lewis Jones
Website: Axcap247.com
Tel: (0)203 026 0449
First Class Metals PLC - Background
First Class Metals listed on the LSE in July 2022 and is focused on metals exploration in Ontario, Canada which has a robust and thriving junior mineral exploration sector. In particular, the Hemlo 'camp' near Marathon, Ontario is a proven world class address for gold exploration, featuring the Hemlo gold deposit operated by Barrick Mining (>23M oz gold produced), with the past producing Geco and Winston Lake base metal deposits also situated in the region.
FCM currently holds 100% ownership of seven claim blocks covering over 250km² in northwest Ontario. A further three blocks are under option and cover an additional 30km2.FCM is focussed on exploring for gold but has base metals and critical metals mineralisation. FCM is maintaining a joint venture with GT Resources on the West Pickle Lake Property a drill-proven ultra-high-grade Ni-Cu project.
The flagship properties, North Hemlo and Sunbeam, are gold focussed. North Hemlo has a significant discovery in the Dead Otter trend which is a discontinuous 3.5km gold anomalous trend with a 19.6g/t Au peak grab sample. This sampling being the highest known assay from a grab sample ever recorded on the North Limb of Hemlo.
In October 2022 FCM completed the option to purchase the historical high-grade past-producing Sunbeam gold mine near Atikokan, Ontario, ~15 km southeast of Agnico Eagle's Hammond Reef gold deposit (3.3 Moz of open pit probable gold reserves).
FCM acquired the Zigzag Project near Armstrong, Ontario in March 2023. The property features Li-Ta-bearing pegmatites in the same belt as Green Technology Metals' Seymour Lake Project, which contains a Mineral Resource estimate of 9.9 Mt @ 1.04% Li2O. Zigzag was successfully drilled prior to Christmas 2023 and results have now been released.
The Kerrs Gold property, acquired under option by First Class Metals in April 2024, is located in northeastern Ontario within the Abitibi Greenstone Belt, one of the world's most prolific gold-producing regions. The project holds a historical inferred resource of approximately 386,000 ounces of gold, underscoring its potential as a meaningful addition to FCM's expanding gold portfolio. Kerrs Gold complements the Company's exploration strategy and provides exposure to a well-established mining district. FCM is currently reviewing plans to advance the project and further unlock its value.
The significant potential of the properties for precious, base and battery metals relates to 'nearology', since all properties lie in the same districts as known deposits (Hemlo, Hammond Reef, Seymour Lake), and either contain known showings, geochemical or geophysical anomalies, or favourable structures along strike from known showings (e.g. the Esa project, with an inferred Hemlo-style shear along strike from known gold occurrences).
For further information see the Company's presentation on the web site:
Forward Looking Statements
Certain statements in this announcement may contain forward-looking statements which are based on the Company's expectations, intentions and projections regarding its future performance, anticipated events or trends and other matters that are not historical facts. Such forward-looking statements can be identified by the fact that they do not relate only to historical or current facts. Forward-looking statements sometimes use words such as 'aim', 'anticipate', 'target', 'expect', 'estimate', 'intend', 'plan', 'goal', 'believe', or other words of similar meaning. These statements are not guarantees of future performance and are subject to known and unknown risks, uncertainties and other factors that could cause actual results to differ materially from those expressed or implied by such forward-looking statements. Given these risks and uncertainties, prospective investors are cautioned not to place undue reliance on forward-looking statements. Forward-looking statements speak only as of the date of such statements and, except as required by applicable law, the Company undertakes no obligation to update or revise publicly any forward-looking statements, whether as a result of new information, future events or otherwise.
Christopher Aaron, founder of iGoldAdvisor and Elite Private Placements, explains where gold and silver are in the current cycle and what his strategy looks like now.
"This cycle is going to end in a mania," he said. "You want to position not when the mania is unfolding, but when it gets quiet, and I think we're in one of those windows now to be positioning."
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.

Precious metals prices continued to face downward pressure this week as investors took strong US economic data and a changing geopolitical landscape into consideration.
After climbing to fresh all-time highs at the start of 2026, a myriad of factors in February have seemingly taken the sails out gold, silver and platinum prices. However, the underlying fundamentals for the precious metals remain strong, resulting in a resiliency that lends optimism to higher price points to come in 2026.
Let’s take a look at what got spot prices moving over the past week.
Gold hit a record high of close to US$5,600 per ounce at the end of January before sliding into one of the largest price drops in decades, dipping as low as US$4,400 as February kicked off.
Over the past week, the metal has oscillated between slumps and cautious recovery. The spot price lost the battle to remain above the key US$5,000 mark in morning trading on February 12, falling to an intraday low of US$4,907.41. February 13 saw gold rebound slightly and trade in a tight range between US$5,000 and US$5,040.
Gold couldn't hold that level on Monday (February 16), and the next day it began sliding below the US$4,900 support level. Wednesday (February 18) brought some relief, with gold once again fighting to stay above US$5,000.

The primary drivers for gold this past week are:
In other gold news, the 2026 TSX Venture 50 list was released on Wednesday, with several gold companies named as top performers. The top five gold stocks on the list are: 1911 Gold (TSXV:AUMB,OTCQB:AUMBF), TDG Gold (TSXV:TDG,OTCQX:TDGGF), Omai Gold Mines (TSXV:OMG,OTCQB:OMGGF), Prospector Metals (TSXV:PPP,OTCQB:PMCOF) and Goldgroup Mining (TSXV:GGA,OTCQX:GGAZF).
Silver has broadly tracked gold's price movements over the past week.
However, the white metal has exhibited significantly higher volatility, and the silver spot price is far outside of striking range of its all-time high of more than US$121 per ounce, which it reached on January 29.
Silver fell by more than 9 percent on February 12 as it followed gold on the downtrend, falling from around US$83 to US$75. On Friday the 13th, silver managed not to scare investors as it traded mostly sideways at the US$77 level.
For most of Monday and Tuesday (February 17), silver continued to limp along this trend line, but has managed to gain ground, rising from the US$75 level to an intraday high of US$78.24 as of 11:00 a.m. PST on Wednesday.

In addition to the macro factors influencing gold, volatility in the silver market has also come from the ups and downs in the artificial intelligence (AI) sector. Silver, the most electrically and thermally conductive metal on the planet, is considered a key material for AI tech, particularly in data centers and high-performance computing.
Over the past week, the Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ) has slid from approximately US$50.55 to US$49.94 as of midday on Wednesday, reflecting broader weakness in the sector.
In other silver news, in its latest annual outlook, published on February 10, the Silver Institute reported that it expects macroeconomic and geopolitical conditions to remain broadly supportive for silver in 2026.
Is the silver bull market doomed? Not quite. Check out the Investing News Network's February 11 interview with Keith Weiner of Monetary Metals, who discusses silver's remonetization.
On February 12, platinum was trading as high as US$2,136 per ounce in early morning trading, but soon followed its precious metals sisters on a downward slide to an intraday low of US$1,982.50. The metal was back above US$2,070 the next day, and for the first part of this week it's managed to trade above the US$2,000 level.
Wednesday was a recovery day for platinum as it reached an intraday high of US$2,122.90 as of 11:00 a.m. PST.

Platinum is one of the top-performing metals over the past year, reaching 12 year highs in recent weeks. Demand is being driven by the metal’s essential role in the emerging hydrogen economy. It's also still seeing robust demand from the auto sector despite the emergence of electric vehicles and uneasy consumer confidence in the economy.
On the supply side, global platinum reserves remain critically low, especially as the world’s biggest producer, South Africa, continues to be plagued by power shortages and operational disruptions.
This week, Johnson Matthey (LSE:JMAT,OTCPL:JMPLF), Sibanye-Stillwater (NYSE:SBSW) and Valterra Platinum (LSE:VALT,JSE:VAL,OTCPL:AGPPF) launched a multimillion-dollar partnership to develop new platinum-group metals clean energy and industrial technologies outside of the auto sector.
Palladium has been the black sheep of the precious metals family for the past few years, remaining well below its March 2022 all-time record of US$3,440.76 per ounce.
On February 12 it followed the precious metals pack down from US$1,741 to as low as US$1,664.
After a rebounding above to US$1,783 level on Monday, the following trading today brought much volatility to the metal, which traded in the US$1,670 to US$1,720 range. Platinum managed to to make gains to the upside on Wednesday with an intraday high of US$1,774 as of 11:00 a.m. PST.

The palladium price is being held down by a slump in demand for electric vehicles and a looming oversupply situation. Analysts at Heraeus Precious Metals predict that the palladium market may move into a surplus in 2026 as secondary supply from recycling increases by 10 percent.
On that note, an announcement shaping the outlook for palladium on the supply side this past week came from the US Department of Commerce, which issued a preliminary statement of support for anti-dumping duties of approximately 133 percent on unwrought Russian palladium imports.
This follows a petition from Sibanye-Stillwater over allegations that Russian metal is being sold in the US at less than fair value. A final decision is expected in the case by June of this year.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
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.

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.
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.
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.
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:
How to Identify Genuine Reviews:
When feedback repeatedly references development, technical precision, and consistent support, it indicates operational legitimacy rather than promotional uncertainty.
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.
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.
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
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Martingale Expert Advisors (EAs) are automated trading bots that increase position size after a losing trade, aiming to recover losses when the market eventually reverses. In forex and CFD trading, this approach is commonly used because it can produce frequent winning cycles, especially during ranging market conditions. On MetaTrader (MT4/MT5), many traders rely on grid-based Martingale strategies where counter trades are opened at predefined pip or point intervals. At 4xPip, we regularly work with traders and EA owners who request custom Martingale logic, including adjustable lot multipliers, grid steps, and centralized take profit models designed to close grouped trades together.
Drawdown is the key risk metric that determines whether a Martingale strategy survives or fails. It measures the peak-to-trough equity decline and reflects how much capital is at risk during extended adverse market moves. While Martingale EAs can appear stable and profitable in the short term, their structural design exposes accounts to compounding drawdown when trends persist longer than expected. In this article, we break down these hidden risks clearly, showing why proper Martingale settings for MT4, capital planning, and risk limits matter, and how traders working with 4xPip can better understand the long-term impact of Martingale behavior on account survival rather than just short-term gains.

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

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

EA piracy usually starts after an EA seller provides the Ex4 file (setup file) to a customer. Once distributed, that file can be shared with other traders, uploaded to forums, or bundled into cracked versions without any restriction. Another common misuse scenario is unauthorized account usage, where one customer runs the same EA on multiple MetaTrader account numbers beyond what was agreed. Without control mechanisms, an EA quickly becomes available free of cost on the internet, making it impossible for the EA owner to differentiate between a legitimate customer and an unauthorized user.
From our experience at 4xPip as programmers and developers, the root cause is the absence of a licensing system. An unrestricted Ex4 file operates on any account number and for an unlimited time period, which removes all access control from the EA owner. Over time, this directly impacts revenue, as subscriptions are bypassed, and also damages reputation when outdated or modified copies circulate under the original EA name. This is why our licensing approach focuses on binding EA usage to a specific MetaTrader account number and a defined expiry period, ensuring the EA owner, not the customer, controls who can use the EA and for how long.
At the execution level, a secure EA must validate authorization before it is allowed to place trades. In an MT4 EA licensing system, this starts when the customer inserts a license key (for example, eLRQ3bHn2ty7yiDSA4hp7YOoTeGXpRHVai7tq0QQpTs) into the EA inputs during installation. At 4xPip, we integrate licensing logic directly into the EA so it connects with a web portal and verifies the subscription status in real time. If the license is valid, the EA runs; if not, trade execution is blocked. This ensures that an Ex4 file alone is never enough to operate the EA without proper authorization.
Access control also depends on binding licenses to unique identifiers. Our system ties each subscription to a specific MetaTrader account number, which is fetched and saved into the database automatically on first activation. This prevents the same license from being reused on unauthorized accounts. License expiry and activation limits are enforced through the admin portal, where the EA owner controls how long the EA operates and on how many accounts a single license key can be used. When a subscription expires or is revoked, the EA stops functioning and displays remaining expiry days on the chart, keeping both the EA owner and customer aligned under a controlled, transparent licensing framework.
Local license checks rely on hardcoded conditions or file-based validation inside the EA itself. In these setups, the Ex4 file operates independently once installed, with no external verification. From our experience as developers at 4xPip, this approach offers very limited protection because static logic can be bypassed, copied, or reused across multiple MetaTrader account numbers. Offline licensing models also cannot enforce expiry dates reliably or prevent customers from redistributing the EA, which directly conflicts with the EA owner’s need to control who can use the EA and for how long.
A server-based approach, which we implement in our MT4 EA licensing system, shifts authorization to a centralized web portal / server / cloud controlled by the EA owner. Each subscription is validated against the server using a unique license key, and the account number is fetched and saved into the database automatically. This allows real-time control over expiry, account limits, and revocation without modifying the Ex4 file. By managing customers, licenses, and expiry dates from the admin portal, EA owners maintain continuous oversight while ensuring that unauthorized users cannot operate the EA, even if the file itself is shared.
Binding an EA license to a specific MetaTrader account number is one of the most effective ways to prevent unauthorized reuse. In 4xPip’s licensing system, the customer inserts the license key only once during installation, after which the account number is fetched and saved into the database automatically. This ensures that even if the Ex4 file is shared, the EA will not operate on any other account. By enforcing account-level binding, the EA owner retains full control over which customer can use the EA and eliminates uncontrolled redistribution.
Beyond account numbers, environment-level restrictions add another layer of control. While the core enforcement in our system is account-based, EA owners can also align licensing rules with practical conditions such as account usage limits and defined expiry periods. The admin portal allows the EA owner to balance strict security with operational flexibility, charging differently for multiple accounts or longer usage periods while avoiding unnecessary friction for legitimate customers. This approach keeps licensing enforcement precise, transparent, and aligned with real trading workflows rather than rigid or impractical constraints.
Effective license management starts with controlled issuance and clear tracking. In our Expert Advisor licensing system, a subscription is created when a customer purchases an EA, and a unique license key is generated through the web portal. The EA owner manages customers, account numbers, and expiry dates from a centralized admin portal, allowing updates when a customer legitimately changes accounts. Since the account number is fetched and saved into the database automatically, access changes are enforced without redistributing the Ex4 file, keeping license control consistent and auditable.
License validation also plays a direct role in updates and monitoring. Because the EA communicates with the server, execution and update access remain tied to an active subscription. Expired or revoked licenses stop functioning and clearly display remaining expiry days on the chart. Usage visibility through the portal, such as active and expired customers, helps EA owners detect abnormal patterns like repeated activation attempts or misuse across accounts. This centralized oversight allows early identification of suspicious behavior while maintaining a smooth experience for legitimate users operating under valid licenses.
One of the most common mistakes we see is relying solely on Ex4 or Ex5 file protection and basic obfuscation. While these measures hide source logic, they do not stop an EA from running on unlimited MetaTrader account numbers once distributed. Another frequent error is treating licensing as an afterthought, added only after piracy becomes a problem. Without a licensing system, the EA owner loses control the moment the setup file is shared, allowing customers to redistribute the EA freely and bypass subscription limits.
From our development experience at 4xPip, licensing must be planned early in the EA lifecycle and integrated at the core execution level. Combining account-based access control, expiry enforcement, and server validation creates a technical foundation that supports clear documentation and usage terms. When license rules are transparent, such as how many accounts a subscription allows and how long it remains active, support requests decrease and disputes are minimized. A licensing framework aligns development, customer support, and long-term EA distribution under one controlled system rather than relying on assumptions or manual enforcement.
Secure EA licensing is an important technical requirement for MetaTrader developers who want to protect their trading strategies, revenue, and long-term product integrity. Because Expert Advisors are distributed as Ex4 files without source code, they are inherently vulnerable to unauthorized sharing, multi-account misuse, and uncontrolled redistribution. A practical licensing system goes beyond legal terms and acts as an access-control layer inside the EA itself. By combining license keys, account-number binding, expiry enforcement, and server-based validation through a centralized portal, developers can ensure that only authorized users can run an EA, for a defined period and on approved accounts. When implemented early and correctly, this approach minimizes piracy, maintains transparency for customers, and gives EA owners continuous control over usage without relying on manual monitoring or assumptions.
4xPip Email Address: services@4xpip.com
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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.
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 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 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.
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.
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.
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.
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
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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.
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.
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!
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…
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.
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.
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
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.
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.
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!
We perfected it.
The best trading strategy in the stock market right now.
Almost every day last week, we saw stocks that followed this pattern. And this week, it’s the only setup you need to pay attention to.
Forget combing through CNN and CNBC articles about what the Magnificent 7 are up to.
Those stocks are too expensive and move too slowly. They don’t offer enough opportunity for small accounts.
Instead, my students and I target stocks that run +50% in a matter of hours.
That’s our window of opportunity.
And with a recurring trade pattern, we can limit our risk while pulling gains that rival an entire year’s investment in the SPY.
Plus, you don’t need to quit your job to watch the market all day long. As I mentioned, these moves only take a couple of hours.
Ladies and gentlemen…
This is the perfect trade pattern for side hustlers.
I talk a lot about the importance of premarket and after-hours setups.
• The momentum is cleaner because of the absence of heavy intraday trading volume.
• There aren’t volatility halts to break up a perfectly good chart.
• And it’s when the best catalysts are announced.
But recently, I’ve noticed a leader between the two time frames.
During premarket hours, we find a lot of the best runners of the day because that’s when most of the news is announced.
But there are two major issues with premarket trading.
First, it’s early in the morning.
I’m on the other side of the world right now. And due to the time difference, premarket hours are more attractive than they would be if I was in the U.S.
A lot of my students have a difficult time waking up early. And I completely understand.
Second, brokers open at different times in the morning.
That means a would-be spiker during premarket might not run because there isn’t enough volume in the market yet. Not enough brokers are open and trading.
Or maybe a stock is ready to spike, but a random bearish order directly when a broker opens causes the chart to fail.
The sudden increase of volume throughout premarket hours acts similarly to volatility halts that break up a perfectly good price chart.
As a result, I’m encouraging all of my students to watch the market close at 4 p.m. ET and after-hours momentum.
There are still news announcements during after hours, like earnings updates, and it’s later in the day, so you don’t have to cut into your sleep schedule.
Plus, all the brokers are open. Everyone who wants to trade during after-hours already has access.
I’ve got five examples from last week, and this is just the tip of the iceberg.
On February 9, Quince Therapeutics Inc. (QNCX) spiked 75% into after-hours alongside news of an engagement with LifeSci Capital to explore alternatives that maximize shareholder value.
The price spiked another 88% during after hours on February 10.
These were back-to-back moves on the same stock during the hottest time to trade in the market.

Source: StocksToTrade
QNCX chart multi-day, 1-minute candles.
On February 11 during after hours, Fastly Inc. (FSLY) spiked 34% with the announcement of record fourth quarter and full year financial results.
The price continued much higher over the next two days.

Source: StocksToTrade
FSLY chart multi-day, 1-minute candles.
On February 12, Haoxin Holdings Limited (HXHX) spiked 70% into after-hours, continuing the momentum it built intraday.
The stock didn’t announce any news. But it has a history of running in December 2025, and the float is only 2.3 million shares.
Those factors, plus the intraday momentum, was enough to make it a solid trade setup.

Source: StocksToTrade
HXHX chart intraday, 1-minute candles.
Also on February 12, Corsair Gaming Inc. (CRSR) spiked 47% into after-hours with a bullish earnings announcement.
Similar to the other earnings-announcement spike, FSLY, the price pushed higher into the next day.
Some of these after-hours spikes turn into terrific multi-day moves.
After trading the first run, make sure to set alerts at key levels and keep it on your watchlist.

Source: StocksToTrade
CRSR chart intraday, 1-minute candles.
I just showed you five setups from ONE week.
• 75%
• 88%
• 34%
• 70%
• 47%
Of course, past performance does not indicate future results. But, these are real gains in the market.
You don’t need to wake up at 6 a.m. for premarket hours. You don’t need to stare at charts during your 9-to-5.
You just need to open your computer at 4 p.m. ET when the market closes and after-hours trading begins.
That’s our window.
Make sure your charts show after-hours price action.
It’s when all the brokers are open, the volume is strong but not out of control, and we still see news catalysts to propel the stock higher.
This after-hours pattern is working RIGHT NOW. I see it almost every day.
You can keep holding the SPY, and hope for 10% this year, or you can spend a few hours after work today hunting for huge stock spikes that can actually flip your account … you know, within this lifetime.
Build your watchlist from intraday strength. Keep an eye on the news.
And when 4 p.m. hits, make sure you’re ready.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
There was a collective sigh of relief the first few years of ChatGPT…
Users described it as a glorified autocomplete. Businesses found that most AI implementations still needed an employee to hold its hand.
But that was three years ago. And in the tech sector, things happen fast.
Earlier this February, the CEO of Hyperwrite dropped an essay on Twitter that’s now been viewed over 40 million times.
Here’s his message: AI can do all of his technical work now. With almost no oversight. He walks away from his computer for four hours and comes back to find the job done. And he says it’s “done well.”
“We’re not making predictions. We’re telling you what already occurred in our own jobs, and warning you that you’re next.”
Jobs that don’t involve physical labor are most at risk.
Anthropic’s CEO predicts AI could wipe out up to 50% of white-collar, entry-level jobs within one to five years.
Which means these next few years are crucial … starting RIGHT NOW.
Don’t wait for AI to come knocking at your place of work. Get ahead of the trend and diversify your stream of income.
The stock market is full of opportunities. And everyone else already seems to be climbing on board…
In January 2026, U.S. equity markets shattered monthly records with over $1 trillion in shares traded daily. Volume for the month jumped 50% year-over-year.
While AI threatens to automate desk work, the market is exponentially rewarding those who capitalize on one-sided volatility.
Take control of your financial future.
It’s not necessarily about getting rich, this is about stability. Some of my millionaire students still trade as a side hustle to supplement their day jobs.
We’re insulating ourselves from a changing job market and reaping the resulting gains.
The AI panic isn’t coming. It’s already here.
Ford’s CEO just announced AI will “replace literally half of all white-collar workers.”
Microsoft’s data shows 5 million white-collar jobs facing extinction, including management analysts, customer service reps, sales engineers, etc.
Salesforce’s CEO claims AI is already doing 50% of the company’s workload.
The real issue is the kind of job that’s disappearing. We’re talking about entry-level work that helps employees move up the ladder.
Without these crucial ladder rungs, there’s no way to climb.
Workers are effectively shut out of higher-paying jobs because they can’t find employment that gives them the entry-level skills.
And thus, we’ve entered an era of side hustles.
Everyone’s trying to make an extra buck as inflation pressure persists, and prospects in the labor market shrink.
Turn to the stock market. Trading activity is booming right now.
For example:
Zero-day options are exploding in popularity. SPX 0DTE averaged roughly 2.3 million contracts a day in 2025 and made up about 59% of that product’s volume.
At the same time, U.S. ETFs pulled in a record $1.4 trillion during 2025. It marked the second straight year that ETF inflows topped $1 trillion, following $1.1 trillion in 2024.
Across the market, trading activity is up.
And that means more opportunity for traders who know how to recognize key setups.
You don’t need fifty tactics.
You just need a simple playbook to use on the hottest stocks every day. And the discipline to stick to it.
I start before the bell. The biggest stock spikes of the day usually begin during premarket hours.
I always scan for the top percent gainers that have fresh catalysts: Earnings, contracts, filings, trial updates, etc.
If it’s a former runner, even better. Past spikers can spike again.
Then I look for one of my patterns in the price action:
• Breakouts.
• Dip buys.
• Panic price action.
• Dip and rips.
These patterns repeat in the market because people are predictable during times of high stress.
I’ve used the same patterns to trade for over two decades. And with all the volatility in the market, the same spikes are growing even bigger.
With AI compressing white-collar jobs and liquidity surging through the market, there’s no better time to build a skill at trading.
Insulate your income. Only trade the best setups. Stay disciplined. The upside takes care of itself.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
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