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Welcome to the Investing News Network's weekly look at the best-performing Canadian mining stocks on the TSX, TSXV and CSE, starting with a round-up of Canadian and US news impacting the resource sector.
On Tuesday (February 17) Canadian Prime Minister Mark Carney announced the creation of Canada’s first Defense Industrial Strategy, aimed at supporting the nation’s defense sector and overall sovereignty.
The strategy will shift procurement's focus to prioritize Canadian manufacturers, aiming to create 125,000 new jobs throughout the supply chain, and will include accelerating critical mineral projects.
Not included in the prime minister's official announcement, the strategy will also create a critical minerals stockpile to support the independence of domestic supply chains. The news follows a February 7 announcement out of the US, which said it will create its own critical minerals stockpile through Project Vault, a multibillion-dollar plan aimed at reducing dependence on the foreign supply chain and providing access to minerals needed for advanced manufacturing.
Statistics Canada released its December monthly mineral production survey on Friday (February 20).
The data shows an increase in the production and shipment of gold and copper over November’s figures.
Copper output increased to 43.65 million kilograms, from 39.7 million the previous month; meanwhile, gold production rose to 18,210 kilograms from 18,086 kilograms in November. For shipments, copper jumped to 57.86 million kilograms from 45.87 million kilograms, while gold shipments increased to 19,233 kilograms from 17,625 kilograms.
As for silver, production saw a slight fall to 22,747 kilograms from 23,198 kilograms in November, meanwhile shipments increased to 26,888 kilograms versus 26,207 kilograms.
For more on what’s moving markets this week, check out our top market news round-up.
Canadian equity markets were mixed this week.
The S&P/TSX Composite Index (INDEXTSI:OSPTX) gained 3.96 percent over the week to close Friday (February 13) at 33,817.51, while the S&P/TSX Venture Composite Index (INDEXTSI:JX) rose 4.99 percent to 1,042.56.
The CSE Composite Index (CSE:CSECOMP) gained 2.6 percent to 165.86.
The gold price gained 3.5 percent to close at US$5,094.04 per ounce on Friday at 4:00 p.m. EST. The silver price fared better, closing the week up 11.89 percent at US$84.16 on Friday.
In base metals, the Comex copper price recorded a 1.71 percent increase this week to US$5.93.
The S&P Goldman Sachs Commodities Index (INDEXSP:SPGSCI) was up 3.3 percent to end Friday at 602.33.
How did mining stocks perform against this backdrop?
Take a look at this week’s five best-performing Canadian mining stocks below.
Stocks data for this article was retrieved at 4:00 p.m. EST on Friday using TradingView's stock screener. Only companies trading on the TSX, TSXV and CSE with market caps greater than C$10 million are included. Mineral companies within the non-energy minerals, energy minerals, process industry and producer manufacturing sectors were considered.
Weekly gain: 108.93 percent
Market cap: C$508.45 million
Share price: C$1.17
Belo Sun Mining is an explorer and developer focused on advancing its Volta Grande gold project in Brazil.
The property covers approximately 2,400 hectares within the Tres Palmeiras greenstone belt in Pará, Brazil. The company has been working on the project since 2003, and acquired the necessary development permits in 2014 and 2017.
A 2015 mineral reserve estimate demonstrated a proven and probable reserve of 3.79 million ounces of gold from 116 million metric tons of ore with an average gold grade of 1.02 per metric ton (g/t).
Development at the site stalled in April 2017 after a suspension order was issued by the Brazilian Federal Regional court until an indigenous study was completed. The decision was later upheld by courts in December of that year.
Then, early in 2018, a federal judge ruled that the Federal Brazilian Institute of the Environment (IBAMA) would be the competent authority for issuing environmental permits. The decision was overturned in 2019, with the Secretariat of Environment and Sustainability of the State of Pará (SEMAS) reassuming its permitting authority. The decision was once again reversed in September 2023, returning authority to IBAMA.
In January 2025, Belo Sun announced that the Federal Court of Appeals had reassigned SEMAS as the permitting authority for the Volta Grande project. The company said it was pleased with the decision, as the agency is familiar with the project and enjoys a constructive and transparent relationship with it.
The most recent news on the case came on February 14, when the company announced that the project's installation license had been reinstated. The court found Belo Sun had complied with the conditions imposed to complete the Indigenous Component Study and that consultation had been conducted in good faith and accordance with protocol.
The company noted that respondents to the appeal will be given the opportunity to file their response with the court and said they would provide further updates as appropriate.
Weekly gain: 48.05 percent
Market cap: C$32.66 million
Share price: C$0.57
Walker River is an exploration company focused on advancing its Lapon Gold project in Nevada, US.
The project, located southeast of Reno, consists of 149 claims covering 3,101 acres and hosts three key target areas: Pikes Peak, Lapon Canyon/Rose, and Range Front Rattlesnake.
According to the project page, small-scale underground historic mining at the site dates back to 1914, with more modern exploration occurring in the 1990s after it was acquired by Teck Resources (TSX:TECK.A,TECK.B,NYSE:TECK). During its exploration, low-grade surface-mineralization was discovered over a strike length of 450 meters.
In December 2025, Walker River announced the most recent assays from the site, which returned grades of 3.05 grams per metric ton (g/t) over 117.4 meters, which included an intersection of 6.67 g/t over 18.3 meters.
The company has not released news in the past week.
Weekly gain: 37.43 percent
Market cap: C$228.17 million
Share price: C$4.92
Chesapeake Gold is a precious metals explorer and developer advancing the Metates and Lucy projects in Mexico. Metates is the more advanced of the two projects and is located northeast of Mazatlan. A July 2021 preliminary economic assessment (PEA) for the project indicated a post tax net present value of US$930 million, with an internal rate of return of 55.9 percent and a payback period of 1.6 years based on a gold spot price of US$1,786 per ounce.
The PEA also reports a measured and indicated resource of 19.8 million ounces of gold and 542 million ounces of silver with average grades of 0.47 g/t gold and 12.9 g/t silver from 1.3 billion metric tons of ore.
The company also owns the less-advanced Lucy project in Sinaloa, Mexico. The property covers 483 hectares and hosts zinc- and gold-bearing skarn systems. A 10 hole, 900 meter exploration program in 2024 produced one highlighted sample grading 6.11 g/t gold over 24 meters from surface.
The most recent news from the company came on Tuesday, when it announced it was named to this year's TSX Venture 50 list. It delivered annual share price growth of 388 percent and a 415 percent increase to its market cap.
Weekly gain: 33.33 percent
Market cap: C$12.85 million
Share price: C$0.38
New Zealand Energy is an oil and gas producer focusing on projects in New Zealand’s Taranaki basin.
According to the company’s December 2024 oil and gas reserves summary, it holds proven and probable quantities of 1.15 million barrels of oil equivalent across a range of producing, non-producing, and undeveloped projects. The main producing projects are the Tariki 5 and Tariki 5A wells, which are 50 percent joint ventures with L&M Energy.
The most recent news from New Zealand came on February 9, when it announced that it had closed a non-brokered private placement for 17.5 million common shares for gross proceeds of C$3.5 million.
The company said that the funds raised will be directed to advancing its gas storage project and general working capital.
Weekly gain: 32.43 percent
Market cap: C$64.66 million
Share price: C$0.245
Unigold is an exploration company advancing its Nieta Concession in the Dominican Republic.
The property consists of two primary areas, Nieta Sur and Nieta Norte, totaling approximately 21,000 hectares in the Northwest Dominican Republic, near the border with Haiti.
The Candelones project, Unigold’s main focus, is hosted at Nieta. A December 2022 feasibility study for the project indicated a post-tax net present value of US$30.64 million with an internal rate of return of 43.6 percent.
The study also included a mineral resource estimate with measured and indicated open-pit quantities of 974,000 ounces of gold, 59.24 million pounds of copper, and 2.43 million ounces of silver with average grades of 1.56 g/t gold, 0.14 percent copper, and 3.89 g/t silver from 19.37 million metric tons of ore.
The most recent news from Unigold came on Tuesday, when it announced the appointments of Juana Barcelo and Andrés Marranzini to its board of directors. Barcelo has more than 15 years of business and legal experience in the Latin American and Caribbean mining sector, and was most recently the president/country manager for the Barrick Mining (TSX:ABX,NYSE:B) and Newmont (NYSE:NEM,ASX:NEM) joint venture, Barrick Pueblo Viejo.
Meanwhile, Marranzini is a lawyer and the current CEO of Punta Bergantín Development, and has previously held positions within the Dominican government.
The TSX, or Toronto Stock Exchange, is used by senior companies with larger market caps, and the TSXV, or TSX Venture Exchange, is used by smaller-cap companies. Companies listed on the TSXV can graduate to the senior exchange.
As of December 2025, 898 mining companies and 71 oil and gas companies are listed on the TSXV, combining for more than 60 percent of the 1,531 total companies listed on the exchange.
As for the TSX, it is home to 175 mining companies and 51 oil and gas companies. The exchange has 2,089 companies listed on it in total.
Together, the TSX and TSXV host around 40 percent of the world’s public mining companies.
There are a variety of different fees that companies must pay to list on the TSXV, and according to the exchange, they can vary based on the transaction’s nature and complexity. The listing fee alone will most likely cost between C$10,000 to C$70,000. Accounting and auditing fees could rack up between C$25,000 and C$100,000, while legal fees are expected to be over C$75,000 and an underwriters’ commission may hit up to 12 percent.
The exchange lists a handful of other fees and expenses companies can expect, including but not limited to security commission and transfer agency fees, investor relations costs and director and officer liability insurance.
These are all just for the initial listing, of course. There are ongoing expenses once companies are trading, such as sustaining fees and additional listing fees, plus the costs associated with filing regular reports.
Investors can trade on the TSXV the way they would trade stocks on any exchange. This means they can use a stock broker or an individual investment account to buy and sell shares of TSXV-listed companies during the exchange's trading hours.
Article by Dean Belder; FAQs by Lauren Kelly.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Dean Belder, hold no direct investment interest in any company mentioned in this article.
Securities Disclosure: I, Lauren Kelly, hold no direct investment interest in any company mentioned in this article.

This year's TSX Venture 50 list showcases a major shift in sentiment toward the mining sector.
The TSX Venture 50 ranks the top 50 companies on the TSX Venture Exchange based on annual performance using three criteria: one year share price appreciation, market cap growth and Canadian consolidated trading value.
This year’s list includes 51 companies due to a tie based on the ranking system.
Together, the 51 companies have an average share price appreciation of 431 percent — that’s compared to just 207 percent achieved by last year’s group. These companies successfully raised C$1.5 billion in new capital.
Market value growth was an impressive 775 percent for C$17.9 billion in market cap creation.
That market value growth is not only more than double the 333 percent averaged in 2025, but also represents the largest annual gain since the TSX Venture 50 list began in 2006.
The unprecedented performance of the TSX Venture 50 companies, even in the face of mounting global economic uncertainty, is a clear indication that investor confidence in Canadian capital markets remains solid.
“The Venture 50 list this year really does reflect the global interest in mining and this entrance into a commodity super cycle," said Robert Peterman, chief commercial officer at TSX & Global Capital Formation. Compared to last year’s list, which included only 10 mining companies, this year’s list has 48, the vast majority of which are gold and silver juniors.
Here the Investing News Network takes a look at the five best-performing precious metals stocks on the list.
Share price appreciation: 1,130 percent
Market cap growth: 3,122 percent
Prospector Metals’ flagship property is the 10,869 hectare ML gold project, located 25 kilometers northeast of the former Brewery Creek mine in Yukon, Canada. It’s located within the Tintina Gold Belt, which hosts significant historic mining operations and current exploration and development projects. B2Gold (TSX:BTO,NYSEAMERICAN:BTG) is a strategic partner in the project and holds a 19.9 percent equity stake in Prospector Metals.
Prospector’s 2025 exploration work at ML led to the discovery of the TESS gold-copper zone in October. High-grade and near-surface intercepts include 288 grams per metric ton (g/t) over 1 meter within 21.93 g/t over 24.65 meters.
Keep an eye out for more drill results coming from Prospector as the company has more than C$40 million in working capital and plans to kick off a 25,000 meter program in 2026.
Share price appreciation: 1,100 percent
Market cap growth: 1,137 percent
Santacruz Silver has producing operations in Bolivia and Mexico. It has a 45 percent stake in the Bolivar and Porco mines, and wholly owns the Caballo Blanco Group mines in Bolivia and the Zimapan mine in Mexico.
For 2025, Santacruz's production came in at 5,598,680 ounces of silver, down 17 percent from the year prior. The company attributed the decline to a major flooding event at Bolivar in May, which led to a temporary shutdown of mining activities in certain areas. However, its silver production consistently improved in the year's last two quarters.
In 2026, Santacruz is working toward improving operational efficiencies and recovery rates to boost output.
Share price appreciation: 875 percent
Market cap growth: 2,711 percent
Goldgroup Mining is building a portfolio of high-quality gold assets in Mexico. Its cornerstone property is the producing Cerro Prieto heap-leach gold mine in Sonora. In the same state, the company recently acquired the formerly producing San Francisco gold mine and is evaluating the potential to restart production.
Cerro Prieto has been in continuous production since 2013 and currently produces about 11,500 ounces of gold annually. For 2026, Goldgroup is undertaking an optimization and exploration program to more than double the mine’s output to over 30,000 ounces. Through a definitive merger agreement with Gold Resource (NYSE:GORO), Goldgroup will soon add the producing Don David gold mine in Oaxaca to its portfolio. The deal is expected to close in Q2.
Share price appreciation: 700 percent
Market cap growth: 695 percent
Golconda Gold is a precious metals producer and explorer with mining operations and exploration projects in South Africa and New Mexico. These include the producing Galaxy gold mine in South Africa’s prolific gold district, the Barberton Greenstone Belt. In New Mexico, the company is working to restart the Summit high-grade silver-gold mine.
In 2025, Golconda’s Galaxy mine produced 13,020 ounces of gold, up 69 percent compared to the previous year. Golconda’s goal is to triple production over the next three years.
At Summit, the company is working to bring the mine back into production in Q2 2026 and then spin it out as a standalone US-focused gold-silver producer by the end of the year.
Share price appreciation: 646 percent
Market cap growth: 1,481 percent
Fuerte Metals is exploring and developing advanced base and precious metals projects across Canada, Mexico and Chile. Its flagship project is the Coffee gold project in Yukon. A measured and indicated resource estimate of 3 million ounces of gold makes it one of the top 10 largest heap-leach development projects in the world.
Fuerte’s asset portfolio also includes the Placeton-Caballo Muerto copper-gold project in Chile, plus the Christina gold-silver-zinc project and Yecora copper-silver-molybdenum project in Mexico. Fuerte’s shareholder base includes Newmont (NYSE:NEM,ASX:NEM) and Agnico Eagle Mines (TSX:AEM,NYSE:AEM).
The Coffee project is in the final stages of permitting, engineering and resource expansion drilling as Fuerte prepares for a construction decision.The company expects to complete a preliminary economic assessment in the first half of 2026, with a feasibility study coming in the second half of the year.
Don’t forget to follow us @INN_Resource for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.

Welcome to the Investing News Network's weekly brief on tech news and tech stocks driving the market.
We also break down next week's catalysts to watch to help you prepare for the week ahead.
The US market kicked off the holiday‑shortened week with many tech stocks opening lower after Alibaba (NYSE:BABA) unveiled its new AI model, Qwen 3.5, on Monday (February 16), amplifying concerns about risks from the Chinese market. Major indices closed little changed after a day of subdued trading.
In correspondence with INN, Eugenia Mykuliak of B2PRIME Group said she views the current pullback as an “adjustment” rather than “true fear,” as investors move past the 2025 AI euphoria and start asking practical questions about whether AI investments are generating returns.
This caution, she added, is compounded by uncertainty in the broader macro backdrop, driving down stocks in AI‑exposed sectors. She concluded that this process reflects a maturing market, predicting that in 2026, capital will concentrate around firms with clear, monetizable AI strategies.
Futures gained ground on Wednesday morning (February 17) ahead of the release of the FOMC minutes from its latest meeting, which highlighted a divide: some participants favored another rate hike if inflation remains above target, directly contradicting market expectations of additional cuts amid forecasts of economic weakness.
Also on Wednesday, Federal Reserve Governor Michael Barr outlined three potential scenarios for how AI could impact the labor market during a speech at the New York Association for Business Economics.
The first, and currently favored, scenario is gradual adoption, where slow AI integration minimizes job loss and any brief skill mismatch is addressed through training. The second scenario is rapid advancement, where AI outpaces the labor market, potentially rendering many people “unemployable.” In this case, fast‑moving AI startups could displace older firms, triggering mass unemployment and requiring a complete overhaul of the social safety net to share productivity gains.
The third possibility suggests that electricity or capital shortages will limit AI’s full potential, making it an indispensable tool but not a truly revolutionary force. Barr concluded that the degree of disruption will ultimately depend on societal investment in creating new jobs, training workers, and implementing mitigation strategies.
Stocks rallied midday but pulled back in a late‑session softening tied in part to the release of the FOMC minutes. A volatile session in tech saw the Nasdaq Composite (INDEXNASDAQ:.IXIC) pare earlier strength, finishing up 0.8 percent.
On Thursday (February 19), the market retraced the mid‑week bounce, with the Nasdaq closing down 0.3 percent.
Friday’s PCE report suggested inflation could be reigniting, keeping rate‑sensitive equities range‑bound in early trading, but the Supreme Court's decision to strike down US President Trump's global tariffs caused a rally in Wall Street's heavyweights in the afternoon.
Shopify led NDXT gainers, advancing 14.73 percent. Phillip Securities upgraded the stock to “Strong‑Buy”.
AppLovin saw a 14.68 percent gain, extending its post‑earnings rally.
DoorDash advanced by 9.36 percent after Bank of America (NYSE:BAC) raised its price target to U$272, citing AI and chatbot efficiencies as well as grocery expansion, while Citizens analyst Andrew Boone reiterated “market outperform” on strong order growth and unchanged 2026 EBITDA outlook.

Tech exchange-traded funds (ETFs) track baskets of major tech stocks, meaning their performance helps investors gauge the overall performance of the niches they cover.
This week, the iShares Semiconductor ETF (NASDAQ:SOXX) advanced by 1.83 percent, while the Invesco PHLX Semiconductor ETF (NASDAQ:SOXQ) advanced by 1.77 percent.
The VanEck Semiconductor ETF (NASDAQ:SMH) also increased by 1.76 percent.
Next week, tech‑focused investors will be watching NVIDIA's Q4 print on February 25 as the key driver of sentiment across semiconductor and other AI‑related names.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.

Here's a quick recap of the crypto landscape for Friday (February 20) as of 9:00 p.m. UTC.
Get the latest insights on Bitcoin, Ether and altcoins, along with a round-up of key cryptocurrency market news.
Bitcoin (BTC) was priced at US$67,697.37, up by 0.9 percent over the last 24 hours.

Antonio Di Giacomo, a senior market analyst at XS.com, noted that BTC deepened its corrective phase after the US Federal Reserve’s January meeting minutes revealed a division over the future path of interest rates, increasing volatility and weakening appetite for speculative assets.
A combination of macroeconomic caution, persistent price pressures, and geopolitical tensions has kept the Fed on a cautious stance, thus keeping BTC volatile and trading between technical resistance and intermediate support.
Its future direction will largely depend on the evolution of US data, interest rates and regulatory developments.
Ether (ETH) was priced at US$1,968.25, up by one percent over the last 24 hours.
The White House hosted its third meeting with its Crypto Policy Council, led by Executive Director Patrick Witt, Senate Banking Committee staff, crypto representatives and banking executives on Thursday (February 19), focusing on the yield v reward debate for stablecoins as part of negotiations for the CLARITY Act and GENIUS Act updates.
The first meeting, a broad introductory discussion that ended without a resolution, was held on February 2. The second meeting, held on February 10, was reportedly more focused, with banks presenting yield and interest prohibition principles, prohibiting rewards tied to holding stablecoins. The closed-door meetings, with no public records, were described by anonymous sources, attendees and journalists as productive but inconclusive.
During the latest meeting, the White House reportedly pushed for a compromise, allowing rewards tied to transaction activity, but not to idle holdings that resemble bank deposits; however, no final deal was reached.
Banking representatives from Goldman Sachs (NYSE:GS), JPMorgan (NYSE:JPM), Bank of America (NYSE:BAC) Wells Fargo (NYSE:WFC), Citigroup (NYSE:C), PNC Financial (NYSE:PNC) and US Bancorp (NYSE:USB), as well as trade groups like Bank Policy Institute, American Bankers Association and Independent Community Bankers of America, were said to actively work on language to that end, though a final draft will still have to be circulated and weighed by the banks.
CME Group will begin offering round-the-clock trading for its cryptocurrency futures and options on CME Globex starting May 29, 2026, pending regulatory approval.
The decision follows a record US$3 trillion in notional crypto derivatives volume in 2025. Year-to-date in 2026, crypto derivatives average daily volume has climbed 46 percent year over year to 407,200 contracts, while futures ADV is up 47 percent. Average daily open interest currently stands at 335,400 contracts.
By eliminating weekend closures, CME allows traders to hedge in real time as crypto markets move, reducing the price gap risk that builds when traditional markets are shut.
Spot Bitcoin exchange-traded funds logged another US$165.8 million in net redemptions on February 19, stretching a five-week outflow streak to nearly US$4 billion.
Weekly withdrawals since mid-January have ranged from US$318 million to US$1.49 billion, raising questions about whether institutional demand is cooling.
Despite the steady redemptions, Bitcoin edged up 1.4 percent over the past day to roughly US$67,800, lifting the broader crypto market cap to around US$2.4 trillion.
A Solana-based meme coin known as PUNCH has surged sharply after securing a listing on a major exchange, briefly jumping more than 80 percent in a single session and posting eye-catching weekly gains.
The token’s market capitalization climbed past US$30 million as it ranked among CoinGecko’s top gainers.
The coin draws branding from a viral story about a rescued baby long-tailed macaque named Punch, which gained traction across social media.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.

A team of researchers at Penn State have developed a plant-based nanomaterial capable of selectively extracting dysprosium from rare earth mixtures, according to a recent report.
The findings published in the study detail how the team engineered a modified form of cellulose capable of isolating dysprosium, a heavy rare earth element used in semiconductors, electric motors, and generators.
Rare earths tend to occur together in nature and share nearly identical chemical properties, making separation complex and costly. Commercial processes typically rely on large-scale solvent extraction systems that require extensive chemical inputs and multiple repetitive stages to achieve high purity.
“As technology advances, manufacturers will need more and more dysprosium — some forecasts estimate the demand for this material may surge over 2,500 percent in the next 25 years,” said Amir Sheikhi, associate professor of chemical engineering at Penn State.
The research builds on earlier work by the team, which previously used cellulose-based compounds to recover neodymium from electronic waste.
In the latest study, the focus shifted to dysprosium and the challenge of separating heavier rare earth elements from lighter ones more efficiently.
To achieve this, the researchers modified cellulose at the molecular level, creating nanoscale crystalline particles roughly 100 nanometers long. When introduced into a water-based mixture containing both neodymium and dysprosium, the nanocellulose selectively captured dysprosium through adsorption.
The team observed that the modified cellulose chains behaved differently in the presence of dysprosium, effectively isolating it from the mixture.
“Separating rare earth elements from one another has been extremely difficult, due to the metals’ very similar chemical structures,” Sheikhi explained. “We have been looking for a reliable way to separate heavy elements like dysprosium from lighter elements like neodymium, while avoiding the negative environmental side effects that come from current separation approaches.”
The simplicity of the approach contrasts sharply with traditional rare earth separation facilities, which often require sprawling industrial plants and dozens of equilibrium stages to achieve magnet-grade purity.
Industry studies have shown that separating similar rare earth elements can require upward of 60 repetitive extraction stages, underscoring the technical barrier that has helped concentrate processing capacity in countries such as China.
China currently accounts for the majority of global rare earth processing, particularly for heavy rare earth elements like dysprosium that are critical for high-temperature magnets and defense applications.
The Penn State team argues that a cellulose-based system could reduce chemical usage and lower the environmental footprint of rare earth recovery if successfully scaled.
Future work will focus on refining the material and testing its ability to isolate additional rare earth elements.
Don't forget to follow us @INN_Resource for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
4xPip is a professional software development company specializing in Forex automation, MQL4/MQL5 programming, and custom Expert Advisor (EA) creation. In today’s fast-moving trading environment, traders and EA sellers need reliable automation tools to execute strategies accurately on MetaTrader platforms. By converting manual strategies into automated bots and providing trade management tools, 4xPip helps us implement consistent, rule-based trading systems while minimizing emotional decisions.
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We provide custom EAs, indicators, and trade management tools designed to automate strategies, but reported performance statistics are based on client feedback and backtests rather than independently verified results. While the development team emphasizes precise coding and iterative testing, actual trading outcomes depend heavily on market conditions, broker execution, and the user’s strategy settings. Traders using 4xPip’s programming services should recognize that past performance or demonstrations do not guarantee future profits.
Real-world trading may introduce slippage, volatility, and unexpected market events that can affect results from automated bots or trade signals. Maintaining realistic expectations, using proper risk management techniques, and starting with demo accounts or small positions are recommended practices. By understanding these factors, traders can use 4xPip’s services to improve efficiency and consistency while mitigating exposure to unforeseen market risks.
4xPip is a specialized software development company focused on Forex automation, MQL4/MQL5 programming, and custom Expert Advisor (EA) creation. By converting manual strategies into automated trading systems and providing trade management tools, 4xPip helps traders implement consistent, rule-based strategies while reducing emotional decisions. The company offers a wide range of services including custom EA and indicator development, strategy conversion, advanced trade management features, license protection, and real-time trade alerts.
While 4xPip is not a regulated broker and does not manage client funds, it maintains strong security, transparent payment practices, and reliable license management systems. User feedback across platforms highlights technical expertise, timely delivery, and responsive support. However, performance depends on market conditions, broker execution, and individual strategy settings. Traders can assess 4xPip’s trustworthiness through clear documentation, small test projects, and evaluating the professionalism of their communications.
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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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.
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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Free Forex trading bots for MT4 and MT5 are automated Expert Advisors designed to execute trades based on predefined rules, often distributed at no cost through forums, marketplaces, or developer sites. Many MetaTrader users are drawn to these bots because they promise hands-free trading, faster execution, and rule-based discipline without upfront investment. In practice, these free tools usually represent generic strategies with limited customization, which is why traders frequently test them on MT4 or MT5 before considering any real capital exposure. From our experience at 4xPip, traders often start with free bots to understand automation basics before moving toward strategy-specific solutions.
This raises the core question: are free Forex trading bots MT4 MT5 actually suitable for live accounts, or are they better confined to testing and educational use? In this article, we examine their real-world performance, risk exposure, technical constraints, and operational limitations. We also look at how professional automation, where a trader, EA owner, or EA seller converts a defined strategy into a controlled Expert Advisor, differs from running unverified free bots on live accounts, setting clear expectations for informed decision-making rather than marketing claims.

Most free trading bots operate on predefined rules coded into an Expert Advisor, usually combining basic indicators, simple price action triggers, or time-based execution logic. These bots follow fixed instructions such as moving average crossovers, RSI thresholds, or session-based entries without understanding broader market context. From our work at 4xPip, we often see traders use these free bots as a starting point to observe how a strategy behaves when automated, but the logic is typically generic and not aligned with a trader’s specific risk model or execution requirements.
There is also a clear technical distinction between Expert Advisors built for MetaTrader 4 and MetaTrader 5. MT4 EAs are written in MQL4 and follow a simpler execution model, while MT5 EAs use MQL5, which supports advanced order handling, faster execution, and multi-asset trading. Free bots usually target one platform only and offer limited flexibility, with fixed settings and minimal adaptability to changing market conditions. In contrast, when a trader, EA owner, or EA seller works with 4xPip, our programmers develop bots based on defined strategy logic, platform-specific behavior, and controlled parameters, highlighting the practical limits of relying on free tools for serious live trading.
One of the main reasons traders gravitate toward Forex bots for MT4 and MT5 is accessibility. With zero upfront cost and simple installation on MetaTrader platforms, beginners can attach an Expert Advisor to a chart and observe automated execution within minutes. This low barrier to entry makes free bots appealing for traders who want to experiment with automation before defining a clear strategy. At 4xPip, we regularly see traders start this way to understand how a bot interacts with price data, orders, and basic risk parameters inside MT4 or MT5.
Free bots are also commonly used to explore automated trading concepts without financial commitment. Many traders rely on eye-catching backtest reports or marketing claims showing high historical returns, even though these results often come from optimized or curve-fitted data. From a professional automation perspective, this is where limitations become clear. When a trader, EA owner, or EA seller works with us, our programmers build bots from explicit strategy rules, real execution logic, and controlled testing conditions, highlighting the difference between experimenting with free tools and running a strategy-driven Expert Advisor on a live account.
A major limitation of free trading bots becomes visible once they move from backtests or demo accounts to live trading. Historical results often ignore real execution factors such as variable spreads, slippage, order rejections, and broker-specific execution rules. In live market conditions, these variables directly affect entry price, stop-loss placement, and overall risk exposure. At 4xPip, we treat these execution realities as core design inputs when automating a strategy, because ignoring them leads to misleading performance expectations.
Market conditions also evolve, and most free bots rely on fixed strategy logic that cannot adapt to changing volatility, liquidity, or structural shifts. Without access to the source code (mq4/mq5 file), traders cannot refine logic or adjust filters as conditions change. Free bots are rarely updated or optimized over time, which increases drawdown risk on live accounts. In contrast, when a trader, EA owner, or EA seller works with 4xPip, our programmers develop Expert Advisors with controlled parameters, ongoing refinements, and platform-specific behavior, highlighting why static free bots often struggle outside controlled test environments.
Risk management is one of the weakest areas in many free Forex bots for MT4 and MT5, especially when applied to live accounts. These bots often use basic or overly aggressive risk settings, such as fixed lot sizes or percentage risks that do not scale properly with account equity. Without alignment to a trader’s actual risk tolerance, even a simple losing streak can escalate drawdowns quickly. At 4xPip, we see this issue frequently when traders move from testing free bots to real capital and realize the risk model does not match live account conditions.
A deeper concern is the widespread use of Martingale, Grid, or high lot-sizing strategies in free bots, often without clear disclosure or protective controls. While these approaches can look profitable in backtests, they expose accounts to compounding risk during extended adverse market moves. Most free bots also lack built-in safeguards such as drawdown limits, equity protection, or trade suspension logic. In contrast, when a trader, EA owner, or EA seller defines a strategy with 4xPip, our programmers can integrate drawdown limiters and risk rules, highlighting why unmanaged free bots pose serious account safety concerns on MT4 and MT5.
When running free trading bots for MT4 and MT5 on live accounts, technical execution risks often surface quickly. Differences in broker infrastructure, spread models, execution speed, and server location can significantly alter how an Expert Advisor behaves in real time. Latency and VPS dependency also play an important role, especially for strategies sensitive to entry timing. At 4xPip, we account for these operational variables during development, as a strategy that works in one environment can fail entirely under different broker or VPS conditions.
Code quality is another common concern with free bots. Many are written with inefficient logic, poor error handling, or hidden restrictions that limit functionality once deployed on live accounts. Without access to the source code (mq4/mq5 file), traders cannot audit or refine how the bot executes trades. Free bots also typically come with minimal documentation and no support, making troubleshooting difficult when issues arise. In contrast, when a trader, EA owner, or EA seller collaborates with 4xPip, our programmers deliver documented, transparent code and operational clarity, underscoring the operational gaps present in most free solutions.
Free Forex trading bots can be useful in limited, controlled scenarios. We see value when traders, EA owners, or EA sellers use them for basic strategy observation, learning EA behavior inside MetaTrader (MT4/MT5), or understanding how automated execution responds to spreads, order types, and session changes. In this context, free bots act as learning tools, not production systems. At 4xPip, many customers first explore automation using simple bots before approaching us to convert a manual strategy into an Expert Advisor built with defined logic, filters, and risk rules by our programmers.
Relying on free bots for consistent live trading profits is generally unrealistic because most are not aligned with a trader’s specific strategy, risk tolerance, or broker conditions. Without access to the source code (mq4/mq5 file), meaningful evaluation and refinement are not possible. We recommend assessing any bot by analyzing its strategy logic, risk model, drawdown behavior, and execution consistency on demo or small test accounts before live deployment. This evaluation process is the same framework we apply at 4xPip when developing custom bots, where every EA is built around a clearly defined strategy, tested logic, and controlled execution rather than assumptions or generic performance claims.
Free Forex trading bots for MT4 and MT5 are automated tools designed to execute trades based on predefined rules, often offered at no cost through forums or marketplaces. While they attract traders due to zero upfront cost, ease of setup, and promise of hands-free trading, these bots usually employ generic strategies with limited adaptability. They are most useful for learning automation, observing strategy behavior, or testing in demo accounts. However, relying on them for live trading carries significant risks, including inconsistent performance, lack of proper risk management, and operational limitations related to broker execution, latency, and code quality. Professional Expert Advisors, like those developed by 4xPip, are built around defined strategy logic, controlled risk parameters, and platform-specific optimization, offering a more reliable approach for live trading. Ultimately, free bots are suitable for experimentation and learning, but careful evaluation and strategy-specific development are essential for live account deployment.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
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Expert Advisors (EAs) are high-value intellectual property for any trader, EA owner, or EA seller operating in the MetaTrader ecosystem. An EA represents strategy logic, execution rules, and market behavior analysis that often take months or years to develop. In real-world distribution, EA sellers only provide the Ex4 file (setup file) to customers, not the Mq4 source code, yet unauthorized copying and redistribution remain common. Once a customer shares an EA externally, it can spread freely online, removing all control from the EA owner and directly impacting revenue, strategy integrity, and long-term viability.
From our perspective as developers, EA licensing is not a legal checkbox, it is a technical access-control mechanism. A proper EA licensing system determines who can run an EA, on which MetaTrader account number, and for how long. At 4xPip, we approach licensing as a practical implementation layer built directly into the EA, supported by a cloud-based web portal that enforces account binding, expiry control, and subscription validation. This guide focuses strictly on implementation-level licensing practices for MetaTrader developers and EA sellers, drawing from how we design and integrate licensing systems that prevent unauthorized EA usage without relying on assumptions or manual enforcement.

EA piracy usually starts after an EA seller provides the Ex4 file (setup file) to a customer. Once distributed, that file can be shared with other traders, uploaded to forums, or bundled into cracked versions without any restriction. Another common misuse scenario is unauthorized account usage, where one customer runs the same EA on multiple MetaTrader account numbers beyond what was agreed. Without control mechanisms, an EA quickly becomes available free of cost on the internet, making it impossible for the EA owner to differentiate between a legitimate customer and an unauthorized user.
From our experience at 4xPip as programmers and developers, the root cause is the absence of a licensing system. An unrestricted Ex4 file operates on any account number and for an unlimited time period, which removes all access control from the EA owner. Over time, this directly impacts revenue, as subscriptions are bypassed, and also damages reputation when outdated or modified copies circulate under the original EA name. This is why our licensing approach focuses on binding EA usage to a specific MetaTrader account number and a defined expiry period, ensuring the EA owner, not the customer, controls who can use the EA and for how long.
At the execution level, a secure EA must validate authorization before it is allowed to place trades. In an MT4 EA licensing system, this starts when the customer inserts a license key (for example, eLRQ3bHn2ty7yiDSA4hp7YOoTeGXpRHVai7tq0QQpTs) into the EA inputs during installation. At 4xPip, we integrate licensing logic directly into the EA so it connects with a web portal and verifies the subscription status in real time. If the license is valid, the EA runs; if not, trade execution is blocked. This ensures that an Ex4 file alone is never enough to operate the EA without proper authorization.
Access control also depends on binding licenses to unique identifiers. Our system ties each subscription to a specific MetaTrader account number, which is fetched and saved into the database automatically on first activation. This prevents the same license from being reused on unauthorized accounts. License expiry and activation limits are enforced through the admin portal, where the EA owner controls how long the EA operates and on how many accounts a single license key can be used. When a subscription expires or is revoked, the EA stops functioning and displays remaining expiry days on the chart, keeping both the EA owner and customer aligned under a controlled, transparent licensing framework.
Local license checks rely on hardcoded conditions or file-based validation inside the EA itself. In these setups, the Ex4 file operates independently once installed, with no external verification. From our experience as developers at 4xPip, this approach offers very limited protection because static logic can be bypassed, copied, or reused across multiple MetaTrader account numbers. Offline licensing models also cannot enforce expiry dates reliably or prevent customers from redistributing the EA, which directly conflicts with the EA owner’s need to control who can use the EA and for how long.
A server-based approach, which we implement in our MT4 EA licensing system, shifts authorization to a centralized web portal / server / cloud controlled by the EA owner. Each subscription is validated against the server using a unique license key, and the account number is fetched and saved into the database automatically. This allows real-time control over expiry, account limits, and revocation without modifying the Ex4 file. By managing customers, licenses, and expiry dates from the admin portal, EA owners maintain continuous oversight while ensuring that unauthorized users cannot operate the EA, even if the file itself is shared.
Binding an EA license to a specific MetaTrader account number is one of the most effective ways to prevent unauthorized reuse. In 4xPip’s licensing system, the customer inserts the license key only once during installation, after which the account number is fetched and saved into the database automatically. This ensures that even if the Ex4 file is shared, the EA will not operate on any other account. By enforcing account-level binding, the EA owner retains full control over which customer can use the EA and eliminates uncontrolled redistribution.
Beyond account numbers, environment-level restrictions add another layer of control. While the core enforcement in our system is account-based, EA owners can also align licensing rules with practical conditions such as account usage limits and defined expiry periods. The admin portal allows the EA owner to balance strict security with operational flexibility, charging differently for multiple accounts or longer usage periods while avoiding unnecessary friction for legitimate customers. This approach keeps licensing enforcement precise, transparent, and aligned with real trading workflows rather than rigid or impractical constraints.
Effective license management starts with controlled issuance and clear tracking. In our Expert Advisor licensing system, a subscription is created when a customer purchases an EA, and a unique license key is generated through the web portal. The EA owner manages customers, account numbers, and expiry dates from a centralized admin portal, allowing updates when a customer legitimately changes accounts. Since the account number is fetched and saved into the database automatically, access changes are enforced without redistributing the Ex4 file, keeping license control consistent and auditable.
License validation also plays a direct role in updates and monitoring. Because the EA communicates with the server, execution and update access remain tied to an active subscription. Expired or revoked licenses stop functioning and clearly display remaining expiry days on the chart. Usage visibility through the portal, such as active and expired customers, helps EA owners detect abnormal patterns like repeated activation attempts or misuse across accounts. This centralized oversight allows early identification of suspicious behavior while maintaining a smooth experience for legitimate users operating under valid licenses.
One of the most common mistakes we see is relying solely on Ex4 or Ex5 file protection and basic obfuscation. While these measures hide source logic, they do not stop an EA from running on unlimited MetaTrader account numbers once distributed. Another frequent error is treating licensing as an afterthought, added only after piracy becomes a problem. Without a licensing system, the EA owner loses control the moment the setup file is shared, allowing customers to redistribute the EA freely and bypass subscription limits.
From our development experience at 4xPip, licensing must be planned early in the EA lifecycle and integrated at the core execution level. Combining account-based access control, expiry enforcement, and server validation creates a technical foundation that supports clear documentation and usage terms. When license rules are transparent, such as how many accounts a subscription allows and how long it remains active, support requests decrease and disputes are minimized. A licensing framework aligns development, customer support, and long-term EA distribution under one controlled system rather than relying on assumptions or manual enforcement.
Secure EA licensing is an important technical requirement for MetaTrader developers who want to protect their trading strategies, revenue, and long-term product integrity. Because Expert Advisors are distributed as Ex4 files without source code, they are inherently vulnerable to unauthorized sharing, multi-account misuse, and uncontrolled redistribution. A practical licensing system goes beyond legal terms and acts as an access-control layer inside the EA itself. By combining license keys, account-number binding, expiry enforcement, and server-based validation through a centralized portal, developers can ensure that only authorized users can run an EA, for a defined period and on approved accounts. When implemented early and correctly, this approach minimizes piracy, maintains transparency for customers, and gives EA owners continuous control over usage without relying on manual monitoring or assumptions.
4xPip Email Address: services@4xpip.com
4xPip Telegram: https://t.me/pip_4x
4xPip Whatsapp: https://api.whatsapp.com/send/?phone=18382131588
The post A Practical Guide to Secure EA Licensing for MetaTrader Developers appeared first on 4xpip.
Back in the mid-2000s, Amazon (Nasdaq: AMZN) was already an extremely successful retailer. It had the kind of brand recognition, scale and logistics that most competitors simply couldn’t match.
But the move that helped turn Amazon into the tech powerhouse it is today had nothing to do with selling more toilet paper online.
It had everything to do with selling infrastructure.
You see, Amazon had built large internal computing systems to run its operations. These systems helped the company manage data, handle traffic spikes and coordinate its warehouses.
Eventually, Amazon realized that these systems’ capabilities weren’t just useful internally, they were something that other businesses needed too. And they weren’t easy to reproduce. Building them required serious investment and technical depth.
This led to Amazon Web Services.

At the time of its inception, AWS didn’t seem like a big deal. Renting computing power to developers certainly didn’t appear to be the defining opportunity of the decade.
But it solved a real bottleneck, giving startups and enterprises access to serious computing resources without having to build their own facilities.
Today AWS generates tens of billions of dollars a year, and it accounts for over 60% of Amazon’s total operating profit. More importantly, it sits underneath huge portions of the modern internet.
AWS built the foundation that software companies run on. And it went on to reshape the entire tech industry.
Now, Jeff Bezos might be pursuing a similar playbook in space.
Most of the attention around satellite connectivity focuses on SpaceX’s Starlink network.
That makes sense. Elon Musk’s Starlink is largely a retail business, connecting households and small users to the internet directly. It reaches millions of users and continues expanding globally.
And it’s already generating serious revenue. Analysts estimate Starlink is bringing in roughly $10 billion a year, and that number is only going up.
But Blue Origin — the space company founded by Bezos in 2000 — has a different goal for its new TeraWave constellation.

Image: Blue Origin
Instead of chasing household subscribers, the company is targeting the heavy data traffic moving between cloud platforms, enterprise networks and government systems.
That’s a smaller customer base, but one that spends far more per connection.
The plan calls for more than 5,400 satellites operating across two orbital layers. The low-orbit segment — over 5,000 spacecraft — is designed to deliver connection speeds reaching about 144 gigabits per second. Above that, a backbone layer of 128 satellites is expected to move data using optical links reaching roughly 6 terabits per second.
Again, this network isn’t being built to stream Amazon Prime Video into your living room. It’s meant to move massive volumes of information across networks.
Blue Origin has indicated the network is designed for roughly 100,000 high-capacity customers worldwide. Deployment is expected to begin in late 2027.
Do you notice a familiar strategic logic here?
Amazon dominated cloud computing by building the infrastructure others rely on. Blue Origin appears to be pursuing a similar strategy in space.
And it could end up being just as profitable.
Compared with the vast networks on Earth, the satellite internet market remains small. But it’s expanding quickly, projected to more than double by 2030.

Source: marketsandmarkets.com
Broader industry forecasts that include enterprise services and government demand push potential revenue into the $25 to $30 billion range.
That’s why money is pouring into this sector to build the infrastructure needed to support it.
Industry investment already runs into the tens of billions annually as companies fund launch systems, orbital hardware and network capacity.
And a big part of the interest here comes down to global reach. Because satellites can connect places fiber simply can’t.
There’s also reliability. Space-based networks give governments and companies backup paths when ground systems fail.
But the newest force pushing this concept forward is computing demand.
AI workloads are exploding and cloud systems are spreading across the planet. This creates pressure to move enormous amounts of data quickly and reliably around the globe.
Being able to transmit from space solves this problem.
Blue Origin seems to be leaning into this new reality. Which means SpaceX and Blue Origin are building their satellite networks from entirely different directions.
Starlink scaled outward first. It deployed satellites rapidly, built a global user base and created a service that generates meaningful revenue today. Subscriber growth and expansion into mobile connectivity are extending this model further.
In other words, Starlink is taking a product-driven strategy built on reach.
But by targeting the high-capacity pathways that large networks depend on, Blue Origin’s direction appears to be far more platform-driven.
Of course, neither approach is inherently superior. Both can succeed.
But history shows that companies involved in building infrastructure tend to have a lasting influence. That’s because everything else runs on top of it.
And Bezos knows it. AWS is proof.
Perhaps that’s why he posted this cryptic image on X the other day, tagging Blue Origin. Because he envisions it as the tortoise to Starlink’s hare.

Amazon became a leader in cloud computing by building the foundation everything runs on.
Blue Origin appears to be trying something similar in orbit.
If TeraWave develops as outlined, this could represent Blue Origin’s most strategically meaningful move to date. Because as data traffic grows and activity in orbit expands, the companies that control high-capacity connections could shape how the space economy develops.
SpaceX still leads in scale and execution today. But if Blue Origin establishes itself in the layer its targeting, it could become a far more important competitor than today’s headlines might suggest.
After all, Bezos has already proven that bets like this one can redefine entire industries.
Regards,

Ian King
Chief Strategist, Banyan Hill Publishing
Editor’s Note: We’d love to hear from you!
If you want to share your thoughts or suggestions about the Daily Disruptor, or if there are any specific topics you’d like us to cover, just send an email to dailydisruptor@banyanhill.com.
Don’t worry, we won’t reveal your full name in the event we publish a response. So feel free to comment away!
One of our favorite stocks in the market just spiked 2,638%.
Let that sink in.
If you had $2,000 of this stock before the spike, at its peak, your account would be worth over $52,000 … from one trade.
And it’s far from the last spike of its kind. (As always, past performance does not indicate future results.)
All of these setups follow a repeating strategy.
The same strategy I’ve taught for almost 20 years.
And while I pull millions of dollars from the market with this easy-to-follow process, I’ve seen traders on the wrong side of this pattern dig holes so deep their grandchildren will be in debt.
Not because the market is rigged. Not because they were unlucky. They just chose the wrong strategy and refused to learn the difference.
Granted, it’s not their fault (in the beginning). There’s a lot of false information, fake gurus, and bull-crap patterns out there.
But I’ve traded both sides of this momentum…
I know the true potential for gains and losses better than anyone.
There’s a light side and a dark side to this market. Most veterans know the difference immediately. But for new traders, the lines are completely blurred.
And with blurry vision, they eventually stumble right into a lion’s den.
I’m setting the record straight right now:
• The best strategy to use in the market.
• And a tempting “strategy” to steer clear of.
Choose a future full of market gains…
I’ve seen countless traders blow up their accounts with this one “strategy.”
It looks logical on the surface. As simple as 2+2=4. Or the law of gravity, what goes up must come down.
Here’s the setup:
Almost every day in the market, traders see a small-cap penny stock spike +100%.
Whether it has news or not … Anyone who’s been around long enough will tell you these penny stock spikes don’t last.
As a result, traders start to think, “ I could short the stock at the top and ride it all the way back down.”
They’re not wrong about the pattern. When a penny stock spikes, it often crashes back toward pre-spike levels within a few days. Sometimes intraday. The logic feels sound.
That’s exactly what makes this so dangerous.
When too many short sellers pile into the same small-cap stock, they squeeze each other out.
The price pushes higher and every short seller scrambles to cover their position, buying more shares. That pushes the price up further, which forces more covering, which pushes it higher still.
There’s no ceiling. No limit. No gravity.
As a result, unlike a regular long trade, short sellers can lose exponentially more than their original position. The stock can go up 500%, 1,000%, even more.
I’ve seen it happen in real time.
For example, on February 17, Polaryx Therapeutics Inc. (PLYX) spiked 2,638% during premarket hours.
This was pure short-squeeze momentum.
If you shorted that spike and guessed the top at 200%, you were in agony on your way to 500%.
At 1,000%, your future children dropped a whole tax bracket.
And at 2,638%, even your grandchildren were wincing.
That’s not a bad trade. That’s a generational loss.
I’ve seen traders blow up six-figure accounts in a single morning chasing this exact pattern.
Savings gone. Margin accounts wiped. Money borrowed from family: evaporated.
The math looked simple. But the market said otherwise.
The market doesn’t care that your logic was right. Price action is king. And price action on a short squeeze is absolutely vicious.
This isn’t a strategy. It’s a trap with a logical-looking door.
For every Yin there’s a Yang.
While short sellers got obliterated on PLYX, another group of traders quietly made a killing. And they didn’t do anything new…
They followed the same patterns I’ve traded and taught for almost 20 years.
Short squeezes don’t create new patterns. They amplify existing ones. The emotion that drives the price action is identical: fear and greed, the same cocktail that’s moved markets since the beginning of time.
The only difference? When overzealous short sellers pile in, those emotions get turned up to an eleven.
The spikes get more explosive. The breakouts get cleaner. And the opportunity gets bigger!
PLYX was a textbook breakout pattern. Picture perfect. The kind of setup I’ve drawn on whiteboards in front of thousands of students.

Source: StocksToTrade
PLYX chart intraday, 1-minute candles.
Now, look what happened the very next minute, at 6:35 a.m. ET:

Source: StocksToTrade
PLYX chart intraday, 1-minute candles.
The spike is so big you can’t even see the prior breakout level. And traders who were long had a full hour to sell for a profit until the price finally dipped below the prespike level.
That’s the strategy.
Trade the breakout pattern. Ride the momentum. Take gains. And move to the next one.
Don’t fall for the siren song of shorting crappy penny stock spikes. Chatroom pumpers and Twitter gurus make it sound sexy: “Easy money on the way down.”
In reality, it’s a first-class ticket to going broke.
If you have any questions, email me at SykesDaily@BanyanHill.com.
Cheers,

Tim Sykes
Editor, Tim Sykes Daily
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!
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In an attempt to better understand the potential discount or premium to NAV for the Fundrise Innovation Fund (VCX), I wanted to examine Pershing Square Holdings, ticker PSHZF, listed on the London Stock Exchange. Pershing Square manages over $18 billion and is run by American, Bill Ackman. Meanwhile, the fund currently trades at about a […]
The post Why Pershing Square Holdings Trades At A Deep Discount To NAV appeared first on Financial Samurai.
If you want to sell a home for a potential maximum overbid, you need something rare. A tasteful remodel with permits helps. A highly functional layout helps. Being in a prime location helps even more. Beyond those three fundamentals, I strongly recommend trying to buy a home with a view and or one that sits […]
The post The Rarest Homes Have Enclosed Front And Back Yards appeared first on Financial Samurai.
Back in 2012, when I left my finance job, I worried I had made a huge mistake. The money was good. The job provided decent status. But I was exhausted by the grind. So I did what any rational person would do when faced with a single, finite life: I chose a better lifestyle. It […]
The post Becoming A Competent Investor Is A Vital Skill To Master appeared first on Financial Samurai.
One of the more entertaining aspects of financial social media is watching hyperbole get passed around like a hot potato. Almost every month, there seems to be a new label designed to classify where people supposedly stand in society. We already have poor, low income, lower middle class, middle class, DUPs, HENRY, mass affluent, Fat […]
The post Escaping The Permanent Underclass May Not Be Necessary After All appeared first on Financial Samurai.
My primary goal for this site is to help you achieve financial freedom sooner rather than later. And if you’re still on your path to financial freedom, sending your children to private grade school often works against that objective. I’ve experienced freedom from bosses, work travel, rush hour commutes, and client pressures since 2012. And […]
The post Be Careful Sabotaging Your Retirement For Private Grade School appeared first on Financial Samurai.