GBP/USD is showing positive signs above 1.3500 and 1.3525. EUR/GBP declined and is now consolidating losses below 0.8700.

Important Takeaways for GBP/USD and EUR/GBP Analysis Today

· The British Pound started a fresh increase above 1.3500 to enter a positive zone.

· There was a break above a key bearish trend line with resistance at 1.3510 on the hourly chart of GBP/USD at FXOpen.

· EUR/GBP is trading in a bearish zone below the 0.8685 pivot level.

· There is a connecting bearish trend line forming with resistance near 0.8665 on the hourly chart at FXOpen.

GBP/USD Technical Analysis

On the hourly chart of GBP/USD at FXOpen, the pair remained well-bid above 1.3450. The British Pound started a decent increase above 1.3470 against the US Dollar.

The bulls were able to push the pair above the 50-hour simple moving average and 1.3500. The pair even climbed above a key bearish trend line with resistance at 1.3510. A high was formed at 1.3548, and the pair is now consolidating gains above the 23.6% Fib retracement level of the upward move from the 1.3447 swing low to the 1.3548 high.

On the upside, the GBP/USD chart indicates that the pair is facing resistance near 1.3550. The next hurdle for the bulls could be 1.3565. A close above 1.3565 could open the doors for a move toward 1.3600. Any more gains might send GBP/USD toward 1.3660.

On the downside, the bulls might remain active near 1.3525. If there is a downside break below 1.3525, the pair could accelerate lower. The first major support is at 1.3495 and the 50% Fib retracement, below which the pair could test 1.3470.

The next key area for the bulls could be 1.3445, below which the pair could test 1.3400. Any more losses could lead the pair toward 1.3350.

EUR/GBP Technical Analysis

On the hourly chart of EUR/GBP at FXOpen, the pair started a steady decline from well above 0.8720. The Euro traded below 0.8695 against the British Pound.

The EUR/GBP chart suggests that the pair even declined below 0.8670 and the 50-hour simple moving average. A low was formed at 0.8650, and the pair is now consolidating losses. There was a move above 0.8665 and toward the 23.6% Fib retracement level of the downward move from the 0.8720 swing high to the 0.8650 low.

The pair is now facing resistance near a connecting bearish trend line at 0.8665. The next major barrier for the bulls could be 0.8685 and the 50% Fib retracement.

A close above 0.8685 might accelerate gains. In the stated case, the bulls may perhaps aim for a test of 0.8695. Any more gains might send the pair toward the 0.8720 pivot.

Immediate support sits near 0.8650. The first key zone sits at 0.8620. A downside break below 0.8620 might call for more downsides. In the stated case, the pair could drop toward 0.8565.

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A new study from London Business School and Yale University challenges the notion that prediction markets reflect crowd wisdom. Focusing on Polymarket, the researchers argue that a small cadre of well-informed traders drives most price discovery on these platforms.

According to the paper, roughly 3.5% of accounts generate the bulk of price discovery on Polymarket. The remaining majority trades actively but contributes little information; their losses tend to accrue to the informed minority. The study, authored by Roberto Gomez-Cram, Yunhan Guo, Theis Ingerslev Jensen, and Howard Kung and revised on April 25, relies on a sign-randomization approach that re-samples each account’s past trades 10,000 times to simulate profit and loss.

“Prediction market accuracy thus reflects the wisdom of an informed minority, not the wisdom of the crowd.”

Polymarket and other prediction markets have surged in crypto circles, with industry data suggesting monthly trading volumes commonly around $15 billion across markets spanning sports, elections, corporate results, and cultural events.

However, the rise of these platforms has drawn regulatory scrutiny amid concerns that insider trading could exploit confidential information. The authors note that prediction markets operate with less oversight than traditional securities markets, in part because many users are pseudonymous and contracts are narrowly defined around specific events.

“These features make prediction markets an attractive venue for trading on private information,” the authors write, highlighting a salient tension between market efficiency and potential misuse.

The “informed minority” and outsized profits

The study identifies the informed minority as comprising market makers and “skilled takers,” together capturing over 30% of total gains on prediction markets. On average, market-maker accounts earned about $11,830 per account in the period studied.

By contrast, roughly 69% of profit-takers fall into a category the authors call the “lucky winners,” who account for about 29% of all accounts. The remaining participants are the “unlucky losers,” who absorb the aggregate losses.

These dynamics echo earlier research suggesting that a small subset of traders can dominate profitability on Polymarket. A separate analysis published earlier this month by crypto analyst Andrey Sergeenkov estimated that just 0.015% of Polymarket traders achieve profits large and consistent enough to contemplate leaving their day jobs.

The broader takeaway is clear: while prediction markets can show high activity and liquidity, the actual informational value often hinges on a narrow group of participants rather than a democratic crowd signal.

Regulatory spotlight and market design implications

The authors’ findings arrive at a moment of intensified regulatory attention toward crypto prediction markets. Insiders trading on platforms like Polymarket and Kalshi has become a focal point for policymakers, who are weighing how to balance innovation with safeguards against confidential-information trading. The study notes that pseudonymity and narrowly defined contracts create structural vulnerabilities that could complicate enforcement and oversight.

For platform operators, the results raise practical questions about design choices, such as how to encourage broader participation without diluting the precision of price signals, and what kinds of disclosure or verification might enhance market integrity without eroding user trust.

Investors and users, meanwhile, should consider that a large portion of trading volume may reflect participation by less information-rich actors. As price discovery appears concentrated within a minority, capital decisions tied to these markets could be influenced more by information asymmetries than by the crowd-sourced wisdom some proponents hoped to see.

What to watch next

As regulators scrutinize insider-trading risk and as exchanges iterate on their market designs, readers should monitor how policy, enforcement, and platform innovations shape the accessibility and integrity of prediction markets. The core question remains whether safeguards can widen the circle of informed participation without dampening the very signals that keep these markets functional.

Source data and the study’s methodology are documented in the authors’ paper, which is available for reference as a revision published on April 25. For broader context on market volumes, industry data place monthly prediction-market activity around the $15 billion mark across the sector.

XRP price has been consolidating over the past week, holding the $1.40 support despite market volatility. But now a potential bearish MACD crossover threatens a breakdown below the major support level.

According to data from crypto.news, XRP (XRP) price rallied 17% to a monthly high of $1.50 in April before entering consolidation within the $1.40-$1.46 range for the past week as investors remained cautious amid no progress in peace talks between the U.S. and Iran, whose war has been impacting the Strait of Hormuz region, a key maritime waterway for global oil and energy flows.

Unlike Bitcoin (BTC), which has been in an uptrend since the beginning of April, XRP has so far failed to sustain its momentum, with buyers unable to push the asset past the $1.45 resistance zone. 

Now, on-chain data suggest that the token is positioned to lose the $1.40 support soon, which can be attributed to a significant drop in network growth and declining whale accumulation. CoinGlass data show that a massive liquidation cluster has formed at $1.40, which acts as a price magnet for market makers seeking liquidity.

Meanwhile, charts also indicate that the token could be entering a distribution phase as trading volume thins out. On the XRP daily chart, the MACD lines are close to confirming a bearish crossover, which often signals strong downside over the following sessions.

At the same time, the Supertrend indicator has flipped green, a sign that the local trend is still technically bullish, but this conflicting signal suggests a high-stakes battle between bulls and bears. 

Hence, once the MACD crossover is confirmed, XRP price would drop to $1.30, the next major psychological support level, and potentially lower if broader market sentiment continues to sour. 

Derivative traders have already been positioning for this shift as CoinGlass data show that the long/short ratio of XRP futures has fallen below 1, a telltale sign that more traders are now betting on further price declines.

Key Takeaways

• Michael Burry revealed a fresh Microsoft position through his Cassandra Unchained Substack on April 23
• The purchase followed a software sector decline triggered by disappointing IBM and ServiceNow earnings guidance
• Burry dismisses concerns about AI disruption undermining traditional software companies
• Microsoft shares have declined approximately 25% from July 2025 highs and roughly 13% year-to-date
• Burry simultaneously increased stakes in Adobe, Autodesk, Veeva Systems, MSCI, and PayPal

Michael Burry has established a long position in Microsoft (MSFT), incorporating the tech giant into his expanding portfolio of discounted software investments.

Microsoft Corporation, MSFT

The investment was made public through Burry’s Cassandra Unchained Substack newsletter on April 23. While the precise stake size remains undisclosed, Burry confirmed he has “gone long on Microsoft” following what he described as “forensic” analysis of the company.

The entry point was strategic. Software equities experienced significant pressure that day following weak forward guidance from IBM and ServiceNow. Market participants interpreted the results as evidence that artificial intelligence tools are cannibalizing traditional enterprise software revenue.

Burry interpreted the situation through a different lens. He characterized the selloff as excessive and identified opportunities in what he termed “bombed out software and payment stocks.” Notably, he maintained all existing software holdings throughout the decline.

The approach reflects Burry’s contrarian investment philosophy — accumulating positions when market sentiment turns negative.

The Microsoft Investment Case

Microsoft has experienced significant valuation compression. Shares have retreated approximately 25% from the July 2025 all-time high and declined roughly 13% on a year-to-date basis. Despite an 18% rebound from recent lows preceding Burry’s announcement, the stock remains substantially below peak levels.

The current forward price-to-earnings ratio stands near 26x, representing a considerable discount to the five-year median P/E of 34x, per GuruFocus data.

For Burry, this valuation disconnect represents an attractive entry opportunity. His investment thesis centers on acquiring a proven cash-generating business trading below historical multiples, rather than speculating on AI narrative.

Microsoft’s commercial cloud operations — encompassing Azure, Office 365, and Dynamics — operate on subscription models generating predictable recurring revenue. Azure ranks among only two true hyperscale cloud infrastructure platforms globally. The corporation produces tens of billions in annual free cash flow.

Burry’s perspective is direct: the underlying business fundamentals remain intact, while current pricing reflects emotional selling rather than deteriorating economics.

Expanded Software Sector Accumulation

The Microsoft investment forms part of a broader strategic initiative. Throughout recent weeks, Burry has systematically accumulated positions across multiple software companies.

He established new positions in Adobe (ADBE), Autodesk (ADSK), and Veeva Systems (VEEV). Additionally, he expanded existing holdings in MSCI and PayPal.

His investment rationale remains consistent across these positions — artificial intelligence disruption concerns have compressed valuations of high-quality software businesses to levels that undervalue their fundamental earnings capacity.

Institutional investors have predominantly moved in the opposite direction, reducing software exposure based on concerns that AI applications will erode traditional software economics. Burry’s Substack communications center on positioning contrary to this consensus view.

Sell-side analysts maintain constructive views on Microsoft aligned with Burry’s perspective. The stock holds a consensus Strong Buy rating from 37 analysts — including 34 Buy ratings and three Hold ratings. The mean price target of $581.61 suggests potential upside of approximately 56% from current trading levels.

Burry initiated his Microsoft stake on April 23, 2026, coinciding precisely with the software sector decline following IBM and ServiceNow’s guidance announcements.

Cryptocurrency markets are often framed as a battle of information, technology, and strategy. In reality, they are just as much a battlefield of human psychology. Price charts may look mathematical, but the forces driving them—fear, greed, hope, and regret—are deeply emotional.

Understanding the psychology behind investor behavior is not just helpful; it is essential. Many of the most costly mistakes in crypto are not caused by lack of knowledge, but by predictable cognitive and emotional biases that influence decision-making under uncertainty.

1. Why Investors FOMO Into Market Tops and Panic Sell at the Bottom

One of the most persistent patterns in crypto markets is simple but brutal: people buy high and sell low.

This behavior is largely driven by herd mentality and emotional contagion.

When prices rise rapidly, social proof kicks in. Investors see others making money, timelines filled with profit screenshots, and influencers calling for higher targets. The fear of missing out (FOMO) becomes overwhelming. At this stage, decisions are no longer based on valuation or fundamentals, but on urgency and social pressure.

Ironically, this is often when risk is highest.

On the flip side, during downturns, the same crowd dynamic reverses. Fear spreads faster than optimism. Red candles trigger anxiety, and narratives shift from “this will change the world” to “this is going to zero.” Investors panic sell, not because their original thesis changed, but because emotional discomfort becomes intolerable.

This cycle repeats because it is rooted in instinct: humans are wired to follow the crowd in uncertain environments. In crypto, that instinct is financially punished.

2. The Illusion of “Easy Money” in Bull Markets

Bull markets create a dangerous narrative: that making money is easy.

During strong uptrends, almost every asset appreciates. Low-quality projects pump alongside fundamentally sound ones. New investors enter the market and experience early success, often attributing gains to skill rather than favorable conditions.

This leads to overconfidence bias.

Investors begin to believe they have superior insight or timing ability. Risk management becomes an afterthought. Leverage increases. Portfolio concentration rises. Due diligence declines.

The market, however, has not become easier—only more forgiving.

When conditions change, this illusion collapses quickly. Strategies that worked in a rising market fail in a sideways or bearish one. Losses accelerate, and the same investors who once felt invincible struggle to adapt.

The “easy money” phase is not just misleading—it sets the stage for future mistakes.

3. Dopamine and the Addictive Nature of Trading

Crypto trading is not just financially engaging—it is neurologically stimulating.

Every price movement, every trade, every notification triggers the brain’s dopamine reward system. This is the same system activated by gambling, social media, and other habit-forming activities.

• Winning trades create a sense of euphoria.
• Near-misses encourage continued participation.
• Volatility increases engagement by constantly presenting new opportunities.

Over time, this can shift behavior from strategic investing to compulsive trading.

Instead of asking, “Is this a good decision?” the brain begins to seek the next reward. This leads to:

• Overtrading
• Chasing pumps
• Ignoring risk
• Increasing position sizes impulsively

The market effectively becomes a feedback loop, where emotional highs reinforce behavior—even when that behavior is objectively harmful.

Recognizing this dynamic is critical. Without awareness, investors may believe they are acting rationally when, in fact, they are responding to neurological impulses.

4. Survivorship Bias on Crypto Twitter

Social media plays a powerful role in shaping perception—especially in crypto.

Platforms like Crypto Twitter tend to amplify success stories:

• Traders posting massive gains
• Early adopters highlighting life-changing returns
• Influencers showcasing winning strategies

What is missing is equally important: the losses.

This creates survivorship bias, where only successful outcomes are visible, while the majority of unsuccessful participants remain silent. As a result, the ecosystem appears far more profitable—and far less risky—than it actually is.

New investors entering this environment develop distorted expectations. They may believe:

• High returns are common
• Successful trades are easily repeatable
• Losses are rare or due to incompetence

In reality, many profitable accounts benefit from timing, luck, or selective reporting.

Survivorship bias does not just misinform—it pressures individuals to take on excessive risk in an attempt to match an unrealistic standard.

5. Why This Matters More Than Strategy

Most investors spend their time searching for better indicators, earlier signals, or more accurate predictions. While these tools have value, they are often overshadowed by psychological factors.

A well-designed strategy can fail if executed emotionally. Conversely, a simple strategy can succeed if applied with discipline.

The difference lies in behavior.

Understanding the psychological traps in crypto markets allows investors to:

• Recognize emotional decision-making in real time
• Maintain consistency during volatility
• Resist social pressure and hype cycles
• Develop long-term resilience

In a market defined by uncertainty, self-awareness becomes a competitive advantage.

Conclusion

Crypto markets are not just financial systems—they are reflections of collective human behavior under extreme conditions.

FOMO, panic selling, overconfidence, dopamine-driven actions, and survivorship bias are not anomalies. They are the default.

The uncomfortable truth is that most investors are aware of these patterns, yet still fall into them. Not because they lack intelligence, but because emotional responses are fast, automatic, and difficult to override.

Recognizing these tendencies is the first step. Managing them is the real challenge.

Because in crypto, the biggest edge is rarely information.

It is control.

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In January, Microsoft shares came under pressure following the company’s earnings report. Although both revenue and earnings per share exceeded analysts’ expectations, growth in the Azure cloud platform slowed to 39% year-on-year from 40% in the previous quarter—enough to disappoint investors. The market is now preparing for the next release: on 29 April, after the close of trading, Microsoft will publish results for the third quarter of its 2026 financial year. Analysts forecast adjusted EPS at $4.04, up 17% from the same period last year. The focus remains on Azure’s performance and the expansion of the paid user base for Copilot within Microsoft 365.

Technical Overview

Until late January, Microsoft shares moved sideways, but the 29 January earnings release triggered a sharp gap down accompanied by an abnormal surge in vertical volume, prompting a rapid repricing of the asset. This move laid the foundation for a well-defined downward channel, with the price steadily declining along its boundaries to a low near 357 by the end of March. In April, a recovery pushed the price to around 433, followed by consolidation within the 412–433 range, where it remains ahead of the upcoming earnings announcement.

The horizontal volume balance zone is located at 403–406, with the broader market profile spanning 390–422—current prices are trading above the bulk of accumulated volume. The nearest significant resistance stands at 443, while support levels are seen at 390 and 371. The RSI with moving averages shows readings of 64 / 72 / 61: the oscillator sits between two upward-sloping moving averages, reflecting a bullish bias within the consolidation phase.

Summary

The 412–433 consolidation range is forming just ahead of the 29 April earnings release—an event similar to the one in January that triggered a two-month decline. The volume profile indicates that prices remain above the balance zone at 403–406, while RSI holds in positive territory. The market’s reaction to the upcoming results will determine whether the recovery extends further or the price returns to the prior accumulation range.

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This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.