Crypto World
Coinbase faces user pushback on prediction-market alerts
Coinbase rolled out prediction market bets for US-based users in January through a partnership with Kalshi, expanding the exchange’s product scope beyond traditional crypto trading. As March Madness unfolds, however, user feedback has highlighted a growing tension around how aggressively Coinbase is deploying event contracts and push notifications to drive engagement, with some describing the approach as akin to sports betting rather than crypto activity.
The rollout comes amid broader scrutiny of prediction markets in the United States, where regulators, lawmakers, and industry participants are navigating questions about jurisdiction, consumer protection, and potential misuse. Coinbase’s moves sit at the intersection of retail access to complex financial instruments and the evolving regulatory framework that governs how such markets should operate in the US.
Coinbase previously indicated that the Kalshi-backed service would bring a range of outcomes to the platform, from political events to sports results. In December, ahead of the public launch of its prediction market service, Coinbase filed lawsuits against regulators in Connecticut, Illinois and Michigan, arguing that the US Commodity Futures Trading Commission should have exclusive jurisdiction over its prediction markets rather than state gambling authorities. The company did not immediately respond to requests for comment on the user-reported experience during March Madness, as reported by Cointelegraph.
Key takeaways
- Coinbase’s January launch of Kalshi-backed prediction markets brought US users the ability to bet on event outcomes within the Coinbase app, bridging crypto trading with contract-based bets.
- During March Madness, some users reported an influx of push notifications urging bets on college basketball games, prompting criticism that the app is leaning toward sports gambling at a time of industry trust concerns.
- Regulatory tension surrounds prediction markets: state-level lawsuits against operators coexist with the CFTC’s push for exclusive jurisdiction over these markets.
- Legislative activity in Congress has considered curtailing use of prediction markets by politicians, amid concerns about insider information and potential conflicts of interest.
- Industry players are adopting safeguards: Kalshi bans political candidates from trading on election-related markets, while Polymarket has introduced measures to curb manipulation and insider trading.
Push notifications and the March Madness debate
Several users have voiced concerns about the frequency and framing of Coinbase’s market prompts during the March Madness window. A prominent example came from a poster on X who described receiving multiple basketball-related notifications within a single hour, arguing that Coinbase’s emphasis on sports betting reflects a broader shift toward monetizable gambling features on a platform many investors associate with crypto trading. The sentiment echoes a broader critique about trust erosion in the crypto industry and the perceived risk of platform strategies that monetize user engagement through gamified betting.
“I have received three separate notifications about College Basketball from Coinbase in the past hour alone. It is absurd that, amidst arguably the worst collapse in trust in this industry’s history, the largest American CEX has completely pivoted to trying to get their customer base hooked on sports gambling, so that they can extract even more exorbitant fees.”
Industry observers have pushed back with concerns about how such notifications might influence user behavior, especially given the sensitivity around responsible money management and the reliability of on-platform yield sources. John Palmer, co-founder of PartyDAO, voiced a closely related concern, pointing to broader questions about risk controls and the integrity of internal risk management as prediction markets push into mainstream app experiences.
These reactions occur against a backdrop of legal action and regulatory debates that complicate Coinbase’s product strategy. In December, Coinbase argued in court that the CFTC should regulate its prediction markets rather than state gambling authorities. The company’s stance mirrors a broader industry argument that federal-level oversight may provide a clearer, more consistent framework for prediction markets—but it has also drawn pushback from state regulators who view these markets as gambling activities with their own distinct consumer protections requirements.
Regulatory landscape and how it shapes the market
The regulatory environment for prediction markets in the United States is plural and evolving. Prediction market platforms have faced multiple lawsuits from state authorities, asserting various legal and regulatory oversight challenges. At the same time, the federal regulator, the U.S. Commodity Futures Trading Commission, has signaled a preference for exclusive jurisdiction over such markets, creating a jurisdictional dispute that complicates operations for platforms like Coinbase, Kalshi, and Polymarket.
The policy conversation has intensified as lawmakers consider proposals to limit or prohibit certain uses of prediction markets by public officials. Reports describe bills aimed at banning presidents or members of Congress from using these platforms, prompted in part by concerns about insider information and potential conflicts of interest. In response, Kalshi and Polymarket have taken steps to reduce risk: Kalshi announced it would ban political candidates from trading on election-related markets, while Polymarket introduced measures designed to limit manipulation and insider trading.
The headlines around regulation underscore a central tension: prediction markets could offer useful tools for forecasting and hedging, but they also raise concerns about market integrity, consumer protection, and access that policymakers are eager to address. The debate is not only about the legality of the markets themselves but about how they should be designed, who can participate, and what safeguards are necessary to prevent abuse or manipulation.
Industry safeguards, policy shifts, and what to watch next
Beyond high-level regulatory talk, the industry has begun layering practical safeguards into platform rules. Kalshi, for instance, has made an explicit policy choice to bar political candidates from participating in election-related markets, aiming to limit conflicts of interest and insider dynamics. Polymarket has rolled out updates intended to curb manipulation and insider trading, a move that some observers view as essential if prediction markets are to gain broader legitimacy among mainstream users and regulators alike.
For Coinbase, the strategy remains a test of how to merge traditional crypto trading narratives with newer, non-crypto product lines without eroding trust or prompting regulatory backlash. The company’s December lawsuits against state regulators, followed by January market rollout and ongoing user feedback, reflect a high-stakes balancing act: deliver value and diversification to users while navigating a maze of regulatory constraints that could redefine what constitutes a permissible service on a US platform. The tension between innovation and compliance will likely continue to shape both product design and public perception in the months ahead.
Investors, traders, and builders should monitor regulatory developments, particularly any moves by the CFTC or Congress that could standardize or constrain prediction markets in the near term. In parallel, observers will watch for how Coinbase and other operators adjust notification strategies, user onboarding, and risk disclosures to align with evolving expectations around responsible gaming, data privacy, and financial risk management.
The evolving landscape suggests that the next phase of prediction markets in the US will be defined less by a single breakthrough and more by a gradual harmonization of innovation with clear guardrails. Whether Coinbase’s approach will be seen as a model for responsibly integrating event contracts into mainstream financial apps or as a cautionary tale about flashy monetization remains contingent on regulatory clarity, user experience, and demonstrated safeguards against abuse.
Readers should keep an eye on potential policy updates, court decisions, and platform-level changes to betting and disclosure practices as the market seeks a stable path forward amid competing regulatory and commercial interests.
Crypto World
Ethereum Price Prediction: Pepeto Targets 1000x as $14B Options Expiry Crashes BTC While ETH and BNB Slide
One hundred million Americans carry medical debt, and one emergency room visit averaging $2,700 can put a family underwater for years. A $14 billion options expiry just crashed BTC below $68,000 while oil topped $100 for the first time this cycle.
The ethereum price prediction points to respectable growth and its staying power is real, but if the reader has eyes on returns that clear every medical bill from one entry, Pepeto has raised more than $8 million with a live exchange already serving traders and 1000x potential as the Binance listing approaches.
A $14 billion options expiry on Deribit collided with the macro selloff on March 27, crashing BTC below $68,000 as oil topped $100 and bond yields spiked higher according to CryptoSlate.
The crash wiped $300 million in leveraged longs and pushed the Fear and Greed Index to 10. According to InvestingNews, BTC hit $66,400, its lowest since March 9, as Treasury yields climbed for four straight weeks.
The ETH forecast faces serious pressure in this environment, and the real returns live further down the stack in presale entries where 1000x is the math.
The Ethereum Forecast Weighed Against What This Market Actually Needs
Pepeto: The Verified Exchange With 1000x Potential Where the Next Dogecoin Is Forming
The $14 billion options expiry just proved that the biggest players in crypto can move the entire market in a single session, and the ETH forecast is just one piece of a much larger puzzle. Pepeto is the verified exchange with 1000x potential where the next Dogecoin is forming, because no project in 2026 has matched this combination of viral energy and real exchange tools.
The exchange fills an urgent need for better trading protection. PepetoSwap clears every trade without charging fees so the reader’s medical bill money stays intact, the asset relay moves tokens between chains at zero expense, and the safety scanner reviews every contract before capital commits, confirmed by a SolidProof audit.
The same person who took the original Pepe token from zero to $11 billion market cap without any products constructed this exchange, and more than $8 million raised during a single digit fear reading is the conviction signal the $14 billion options expiry was designed to hide.
The wallets that entered Dogecoin early built the kind of wealth this cycle is about to produce again, and the ones entering Pepeto now are positioned for the same outcome with a working exchange behind it. Analysts project 1000x from the current entry at $0.000000186, and 192% APY staking multiplies the reader’s allocation while the listing countdown runs. The bull market is forming, and the wallets are entering with size because once the listing arrives this entry disappears permanently.
Ethereum (ETH)
ETH trades at $1,988 per CoinMarketCap, pressured by the $14 billion options expiry and over 75% leveraged positioning on Binance.
The ethereum price prediction targets $4,000 by year end, an impressive 95% ceiling, but if the reader carries $2,700 in medical debt from one ER visit, the life changing returns live in the presale entries where 1000x is still the math.
Binance Coin (BNB)
BNB trades at $610 per CoinGecko, holding steady while the broader market corrects around it. A recovery to $750 delivers 19% over months, a strong ecosystem anchor that suits patient holders.
While Pepeto at presale pricing offers the kind of return that turns a $2,700 medical emergency from a financial crisis into a rounding error.
The Ethereum Price Prediction Confirms the Bull Market and the Wallets Inside Pepeto See the Next Dogecoin Forming
The $14 billion options expiry crashed BTC below $68,000 and 100 million Americans are carrying medical debt they took on because one bad day happened at the wrong time.
The ethereum price prediction confirms the bull market is forming, but no project in 2026 has matched Pepeto’s combination of viral energy and real exchange tools, and the addresses filling this presale see the next Dogecoin forming inside it.
The Pepeto official website is where those wallets are entering with size, because once the listing arrives this entry disappears permanently and the people inside will hold the positions that turn a $2,700 ER visit from a crisis into a number they laugh about.
Click To Visit Pepeto Website To Enter The Presale
FAQs
What does the ethereum price prediction look like as the $14B options expiry crashes BTC?
The ethereum price prediction targets $4,000 by year end, but Pepeto’s presale with a verified exchange and 1000x potential offers the returns only presale entries with 1000x potential produce.
Can anything outperform the ethereum price prediction in terms of returns?
Presale entries with working products deliver the 1000x returns that only presale entries produce, and the Pepeto official website is where the 1000x entry with a verified exchange is still open.
Is the ethereum price prediction still worth following in 2026?
The ethereum price prediction matters for portfolio anchoring, but Pepeto’s presale targets 1000x with the Pepe builder and Binance listing, the kind of return that clears medical debt.
Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.
Ark Invest’s Bitcoin ETF saw one of the sharpest single‑day outflows of the month this week, as investors yanked tens of millions of dollars from spot products just as Bitcoin slid back toward the mid‑$60,000s.
Summary
- U.S. spot Bitcoin ETFs recorded about $171 million in net outflows on March 27, with Ark Invest’s ARK 21Shares fund among the hardest hit.
- Ark’s CEO Cathie Wood, long one of Bitcoin’s loudest institutional bulls, now faces a tape where her flagship crypto vehicle is bleeding capital even as she reiterates long‑term upside.
- The reversal in flows undercuts part of the “institutional floor” narrative that has supported Bitcoin since U.S. spot ETFs launched in early 2024.
The latest data show U.S. spot Bitcoin (BTC) ETFs posted a combined $171.12 million in net outflows on March 27, the largest one‑day withdrawal in more than three weeks and a stark contrast to the steady inflows seen earlier this month. According to ETF flow trackers, BlackRock’s IBIT led redemptions with roughly $41.9 million out, followed by Fidelity’s FBTC at about $32 million, while Ark Invest’s ARK 21Shares ETF saw approximately $30.5 million leave in a single session. Those exits hit as Bitcoin slipped back toward $70,000, with selling pressure from ETF desks reinforcing a broader risk‑off move across digital assets.
For Cathie Wood, the numbers add short‑term pain to a long‑running conviction trade. The Ark founder has for years argued that Bitcoin could eventually reach $500,000 if corporate treasuries and institutional allocators push even 5% of portfolios into the asset, telling CNBC at the SALT Conference that “the price will be ten‑fold what it is today” if that thesis plays out. Ark has backed that view with positioning, building exposure across vehicles such as its Next Generation Internet ETF and, more recently, via its ARK 21Shares spot product, which quickly became one of the most closely watched newcomers in the U.S. ETF lineup.
Yet the latest redemption wave shows how tactical those same institutions can be when macro conditions sour. Market data providers say investors are rotating out of risk assets on the back of sticky inflation, uncertainty over the Federal Reserve’s rate‑cut path, and escalating geopolitical tension around Iran, all of which have pushed volatility higher and forced some fast‑money players to de‑risk. “This pattern of inflows and outflows is becoming a key indicator of institutional positioning,” one ETF flow note observed, pointing out that even newer funds and smaller trusts such as VanEck’s HODL and Grayscale’s mini‑BTC product joined Ark’s ARKB in posting redemptions.
The move matters because Ark has been central to the story that spot ETFs would anchor Bitcoin with a deeper, more stable institutional base. Earlier in March, U.S. spot funds briefly flipped back to net inflows, including a day when the complex added about $167 million in fresh cash, suggesting some large accounts were willing to buy dips. That pattern appears to have reversed, at least temporarily, with several consecutive outflow days culminating in Thursday’s $171 million drawdown, undercutting the idea that ETF demand alone can offset macro shocks or positioning washes in derivatives.
Still, most analysts tracking Ark and its peers see the current outflows as tactical rather than a structural rejection of Bitcoin. Flows tend to whipsaw around options expiries, CPI releases, and geopolitical headlines, and Ark’s own research — including its latest Big Ideas 2026 report — continues to frame Bitcoin as a multi‑cycle, high‑conviction allocation rather than a quarter‑to‑quarter trade. For investors watching Wood’s ETF specifically, the question now is whether renewed inflows reappear on the next bout of weakness, or whether this week’s $30‑plus million exit marks the start of a longer period in which Ark’s name recognition is not enough to keep nervous capital from heading to the sidelines.
Bittensor (TAO) is trading at $322, down 6.97% on the session after briefly tagging $380 on March 26.
The 2-day chart shows TAO has cleared the 0.618 Fibonacci resistance zone at $306 that capped every rally for four months, but the move above it has immediately stalled.
TAO Holders’ Sentiment Drove the Breakout
The Santiment weighted sentiment chart covers March 3 through March 26, 2026. TAO sentiment spiked to above 5.0 on March 25 — the highest reading on the chart — as price surged toward $380. By March 26, sentiment had collapsed to 0.684 as price reversed sharply.
This pattern repeated twice earlier in the month. On March 13, sentiment spiked sharply before price reversed from $305 back toward $260. On March 19, another sentiment spike preceded a drop from $290 back toward $250. Each time, elevated sentiment coincided with a local TAO price top rather than sustained upside.
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The current reading of 0.684 is not yet negative, but the trajectory from above 5.0 to 0.684 in a single session mirrors the prior reversal patterns precisely. Sentiment drove capital into TAO at elevated prices and is now retreating, removing the buying pressure that generated the move.
Breaking This Ceiling Will Prove Beneficial For TAO
The TAO liquidation heatmap covers March 26 and 27. The brightest concentration of liquidation leverage — shown in yellow on the heatmap — sits at the $364 level, with 2.98 million in liquidation leverage at that exact price. Above $364, the cumulative short liquidation leverage reaches $17.81 million.
That $17.81 million short squeeze would be a powerful catalyst if triggered. A move through $364 would force those short positions closed, mechanically driving the price toward $407 and potentially $469. However, the 2.98 million in leverage concentrated at $364 itself acts as a magnet that also absorbs buying pressure, making it a ceiling before it becomes a springboard.
With sentiment already collapsed and price pulling back from $380 without clearing $364 on a close, the short squeeze scenario requires a fresh wave of buying that is not currently visible in either the sentiment data or the price structure.
TAO Price Prediction: Drop Back Into the $306 Zone Before Any Continuation
TAO spent four months consolidating under the red resistance zone under the 0.618 level at $306. The annotated breakout measured move shows a 20.33% gain over the past week as TAO escaped it.
MFI adds further weight to the bearish near-term outlook. MFI reached the overbought threshold last week, and every prior instance where MFI reached this zone coincided with a local price top.
In September 2024, MFI touched the overbought threshold as TAO traded near $700. In May 2025, MFI again reached the same level before the price rolled over from $450 toward $300. The current reading at 77.79 places TAO in identical territory on both occasions that preceded significant drawdowns.
TAO at $322 is above the prior resistance zone. But, a daily close below $306 would confirm the breakout has failed and put the 0.5 level at $275 and then the 0.382 level at $243 in focus as the next support levels.
The bullish invalidation requires a 2-day close above $364. That would trigger the $17.81 million short squeeze and mechanically push the price toward the 1.0 level at $407 and then the 1.236 level at $469. Without that close above $364, the four-month resistance zone that TAO just escaped threatens to reclaim the token.
The post Bittensor (TAO) Escapes 4-Month Long Barrier, Yet Price May Not Reach $400 appeared first on BeInCrypto.
Morgan Stanley plans to price its proposed spot bitcoin exchange-traded fund (ETF) at 14 basis points, a level just below current low-cost options for similar products, according to an amended filing with the U.S. Securities and Exchange Commission (SEC). The move could set off a new round of fee competition among existing funds.
The latest S-1 filing, filed Friday, shows the bank undercutting rivals that charge closer to 15 to 25 basis points. The lowest fee on the market today is Grayscale’s Bitcoin Mini Trust ETF , which carries a 0.15% expense ratio. Larger funds, including BlackRock’s iShares Bitcoin Trust (IBIT), priced their products at 25 basis points.
On paper, the gap looks narrow. In practice, it may be enough to shift money.
Spot bitcoin ETFs offer near-identical exposure. Each fund holds bitcoin and aims to track its price. That leaves cost as one of the few variables investors and advisors can act on. A financial advisor can move a client from one ETF to another with a single trade, keeping the same exposure while lowering annual fees.
That dynamic has shaped the ETF market before, and lower-cost products tend to attract inflows, while higher-fee funds can see assets drift out over time. Grayscale’s flagship product, its Bitcoin Trust (GBTC), holds about $10 billion in assets, down from $29 billion at launch in January 2024.
Morgan Stanley’s scale adds another layer. Its wealth management arm oversees trillions in client assets and has one of the largest adviser networks in the industry. Even small allocation changes across that base could move billions of dollars between funds.
The pricing decision also points to strategy. By entering with a lower fee, Morgan Stanley may be aiming to quickly gain share in a market where products are hard to differentiate. Cost and access, not structure, often decide which funds grow.
The filing follows confirmation from the New York Stock Exchange that it has issued a listing notice for MSBT, signaling the product could begin trading quickly if approved.
If regulators sign off, the fund would be the first spot bitcoin ETF issued directly by a major U.S. bank, setting up a new phase of competition where fees and distribution drive the outcome.
Stablecoins are once again at the center of the crypto business narrative — but for very different reasons.
Circle’s sharp sell-off this week highlights how sensitive crypto equities remain to regulatory headlines, even when the underlying business fundamentals appear unchanged. At the same time, developments in Canada show institutions are moving in the opposite direction, quietly laying the groundwork for stablecoin integration into traditional finance.
Elsewhere, prediction markets are facing growing pressure to clean up their act as regulators zero in on manipulation risks, while a new thesis from Forrester suggests the long-promised micropayments economy may depend less on infrastructure — and more on AI agents.
The latest edition of Crypto Biz points to a market where regulation, automation and institutional adoption are reshaping how value moves across crypto rails.
Circle slides on CLARITY Act fears, Bernstein says sell-off overdone
Shares of Circle plunged 20% on Tuesday after reports that a draft of the proposed CLARITY Act could restrict stablecoin rewards, but analysts at Bernstein say the market reaction may be mispriced.
In a Wednesday note, Bernstein analysts said investors are conflating “who earns yield” with “who distributes yield.” The draft legislation targets platforms that pass yield to users, they said, while Circle’s core revenue comes from reserve income on USDC (USDC), not reward distribution.
The legislative proposal would prohibit yield on passive stablecoin holdings or products deemed equivalent to interest, but leaves room for rewards tied to user activity, such as trading or payments. Bernstein said these carve-outs could still allow incentive structures without disrupting issuer economics.
Circle generates revenue primarily from interest on reserves backing USDC, which are largely invested in short-term US Treasurys. Bernstein estimates this income reached about $2.6 billion in 2025, underscoring what it views as limited direct impact from the draft bill.
Deloitte and Stablecorp prepare Canadian banks for stablecoins
Deloitte Canada is partnering with Stablecorp to bring stablecoin infrastructure into the country’s financial system, signaling growing institutional readiness ahead of new regulations. The initiative centers on integrating QCAD, a Canadian dollar–pegged stablecoin, into payment and settlement workflows.
The goal is to help financial institutions prepare for stablecoin adoption as Canada moves toward a formal regulatory framework for fiat-backed digital assets. Potential use cases include round-the-clock payments, faster settlement and improved transparency using blockchain-based systems.
QCAD is designed as a fully backed digital version of the Canadian dollar, aligning with expected regulatory requirements around reserves, compliance and risk management. This positions it as a candidate for institutional use once rules are finalized.
Polymarket tightens rules as insider trading fears grow
Prediction platform Polymarket is overhauling its rulebook amid intensifying scrutiny of allegations of insider trading and market manipulation. The updates apply to both its decentralized platform and its US-regulated exchange, signaling a push toward stronger compliance standards.
The new framework introduces stricter market design rules, clearer criteria for resolving outcomes and expanded surveillance systems to detect suspicious activity. Polymarket is also limiting certain markets considered highly manipulable or ethically sensitive.
The changes come amid mounting concerns that prediction markets may be vulnerable to traders with privileged information — especially in geopolitical or political event markets. Lawmakers and regulators have increasingly questioned whether such platforms blur the line between financial markets and gambling.
Forrester says AI agents could finally make micropayments work
AI agents may finally make micropayments viable, according to a new analysis from Forrester, which points to Stripe’s Machine Payments Protocol (MPP) as an early example of the trend.
Forrester analyst Meng Liu said micropayments have historically struggled due to user friction, as consumers are reluctant to repeatedly approve small transactions worth just a few cents or dollars. AI agents change that dynamic by executing payments automatically as part of completing tasks, removing the need for user interaction at checkout.
Stripe’s MPP is designed as a coordination layer that works across existing payment systems rather than a standalone network. Forrester’s Liu views this as a sign that infrastructure is emerging to support machine-to-machine transactions without requiring entirely new rails.
Liu said agent-driven payments could enable new business models, including pay-per-use services and automated digital commerce, while increasing demand for low-cost, high-frequency payment solutions such as stablecoins.
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President Donald Trump just dropped a wild merchandising bombshell on his official website for his meme coin and digital trading cards. Exactly 2,024 physical collectible cards embedded with real fabric swatches from his iconic debate suit.
Worn on June 27, 2024, during the first presidential debate and celebrated as his total “knockout” performance, these ultra-limited editions fuse memorabilia, NFTs, and full-on meme coin frenzy in classic Trump style.
This might very well be the first time an actual sitting president of the United States is selling his wardrobe as collectibles. Who profits from it? Most likely, Trump Family-affiliated ventures.
Although the company says it has no affiliation with Donald Trump, it does promote the product with a direct quote from the President.
From a crypto perspective, the mechanics are deliberate. Buyers can pay via credit card or WETH on Polygon, aligning tightly with Trump’s broader meme coin ecosystem. Some variants reference his July 13 mugshot following the assassination attempt, amplifying scarcity and narrative-driven demand.
It’s peak post-reelection mogul mode. Critics call it “tacky,” while supporters frame it as “genius” — iconic political moments repackaged into ownable assets.
The strategy builds on more than $10 million in past NFT sales and the momentum from his 2025 inauguration, reinforcing a brand that continues to convert attention into revenue.
Sold out already? Previous drops disappeared within minutes. Expect the same pattern here, with MAGA loyalists and crypto-native traders moving quickly to secure supply.
As neobanks tokenize RWAs, Trump’s suit scraps blaze the trail for personal asset tokenization. Physical rarity crashes into digital speculation. The ultimate dealmaker strikes gold again.
The post Trump Auctions 2024 Suit Pieces on Official Meme Coin Site appeared first on BeInCrypto.
The Wyckoff method is a technical analysis framework developed by Richard D. Wyckoff in the early 20th century. It focuses on analysing price and volume to identify institutional activity and market cycles.
The method is based on the idea that large market participants drive trends through accumulation and distribution phases. Traders use this approach to anticipate price movements and identify potential entry and exit points.
This article explains the core principles of the Wyckoff trading method, including its laws, market cycle, and application in modern Wyckoff trading strategies.
Wyckoff Method Explained (Quick Summary)
- The Wyckoff method is a price and volume-based trading framework
- It was developed by Richard D. Wyckoff in the early 1900s
- It focuses on institutional behaviour, often referred to as “smart money”
- The model includes four phases: accumulation, markup, distribution, and markdown
- Traders use Wyckoff schematics to identify potential reversals and trend continuation
- The method is applied across forex, stocks, commodities, and crypto* markets
What Is the Wyckoff Method in Technical Analysis?
The Wyckoff method is a type of technical analysis developed in the early 20th century by Richard D. Wyckoff, a renowned stock market trader and analyst. The method assumes markets are driven by supply and demand, which form repeatable and tradable price patterns.
The Wyckoff methodology provides a structured framework for building trading strategies based on price and volume behaviour. This system includes the relationship between price and volume, the identification of Wyckoff market structure, and the role liquidity plays in financial markets.
The Wyckoff method remains widely referenced in modern technical analysis and institutional trading frameworks. Its principles are closely aligned with price–volume analysis and market structure concepts used across global financial markets.
Why the Wyckoff Model Works
Large financial institutions need liquidity to execute sizeable orders without excessive slippage. To fill these orders, they require counterparties on the other side of the trade.
Liquidity clusters around predictable levels: above equal highs, below equal lows, beyond trendlines, and at support and resistance zones. Stop-loss orders and breakout entries sit at these levels in high concentration. Institutions target these pools because they provide the volume needed to absorb large positions at favourable prices.
By driving prices through these key levels, institutional participants trigger stops and breakout orders, generating the liquidity they need to build or offload positions. This mechanism of liquidity engineering, driven by institutional trading activity, is the fundamental idea behind the Wyckoff theory in forex, commodities, crypto*, stocks, and more.
Key Principles of Richard D. Wyckoff Method
There are a few fundamental principles of the Wyckoff methodology that are critical to your understanding: the Composite Man and the three laws.
Composite Man
The Composite Man represents a single dominant market operator whose actions traders analyse to interpret price movements. He is, in essence, the representation of smart money trading activity. Wyckoff believed that the Composite Man carefully plans and executes his trades, encouraging buyers (or sellers) only after he has accumulated a sizable position.
The Law of Supply and Demand
Simply put, if the demand for an asset is larger than its supply, prices will rise. On the other hand, if the supply of an asset is larger than its demand, prices will decrease.
The Law of Cause and Effect
This law states that Wyckoff events, such as accumulation and distribution, act as causes that drive future price movements. It also says that the effect, or the price movements, are proportional to the cause. An accumulation that occurs on the daily timeframe will produce a much more significant effect than one on the 1 minute, for instance.
The Law of Effort vs Results
This law says that price movements are a result of effort, characterised by volume. If a bullish trend is supported by strong volume, it will likely continue. High volume within a range, without price progress, may indicate weakening momentum and a potential trend reversal.
Wyckoff Market Cycle: Accumulation, Markup, Distribution, Markdown
The Wyckoff methodology frames the markets in four repeated phases. These are accumulations, markups, distributions, and markdowns.
Accumulations
Most often seen in ranges, the Wyckoff accumulation pattern represents areas where large players are building up a position to go long before the market reveals its true direction to other traders.
Markups
Once they hold a large enough position, these players start to bid the price up, encouraging other traders to jump in and push the price up further. Increasing participation reinforces upward momentum, pushing price out of the range and initiating a sustained uptrend. Note that a markup may have multiple re-accumulations where it pauses and consolidates before breaking higher.
Distributions
Once the price reaches its target and the buying pressure from other traders subsides, the big players will begin to distribute (sell) their positions while building up shorts. This Wyckoff distribution will, again, look like a range before a sharp move down.
Markdowns
This sharp move down is known as the markdown. It’s essentially the opposite of a markup: financial institutions push the price down and encourage traders to enter short positions to begin a downtrend. Like markups, there are also phases of redistribution that consolidate before moving lower.
How Traders Apply the Wyckoff Method Today
While the core principles remain unchanged, traders have adapted the Wyckoff methodology to suit modern markets and tools. Here are the most common applications:
- Market structure identification: Traders use Wyckoff schematics to label live price action, mapping accumulation and distribution phases across forex, equities, and commodities.
- Wyckoff volume profile integration: Modern charting platforms allow traders to overlay volume profiles onto Wyckoff ranges, pinpointing where the heaviest activity occurred.
- Multi-timeframe confirmation: Many traders identify a Wyckoff phase on higher timeframes (e.g., daily), then drop to lower timeframes (e.g., 1-hour). This may help to refine entries around Springs, Tests, or LPS zones.
- Confluence with other tools: The Wyckoff method is frequently combined with order flow data, support/resistance levels, and indicators like the RSI to add confirmation layers.
- Algorithmic detection: Some institutional and retail traders use algorithms to scan for Wyckoff-like structures across multiple instruments simultaneously.
Wyckoff Schematics Explained: Accumulation and Distribution Patterns
These cycles can be identified using standard Wyckoff chart patterns based on price and volume behaviour. If you want to test your own understanding, you may use the TickTrader platform with us at FXOpen.
Note that Wyckoff accumulations and distributions are practically identical, just flipped upside down. The key concepts, points, and phases across Wyckoff schematics are all the same.
Type 1 Schematics
Wyckoff Accumulation Schematic
Phase A
- Preliminary Support (PS): After a markdown, buying action interrupts the downtrend and causes a slight uptick in price. Volume increases.
- Selling Climax (SC): Long traders have their stop losses triggered, while breakout traders jump in short, believing the downtrend will continue. Here, the Composite Man absorbs the selling pressure. The SC may sometimes leave a long wick that shows the buying pressure.
- Automatic Rally (AR): Given that selling pressure is exhausted, buy orders push prices up easily, and shorts exit their trades, typically below PS. Note that the high of the AR sets the first upper bound for the accumulation, as seen in the Wyckoff accumulation examples above.
- Secondary Test (ST): The price falls from the AR to form a low near the SC, creating the ST. It can create equal lows or end up slightly higher or lower than the SC. This may also occur multiple times, creating a visual area of support. Volume is likely to be low.
Phase B
- Sign of Strength in Phase B (SOS(b)): After the ST, the price can rebound higher than the AR, forming the SOS(b). This won’t always occur, but if it does, it creates our second upper bound. Again, it is supposed to fall below the PS.
- Secondary Test in Phase B (ST(b)): This is the first “liquidation” event of the accumulation. A sharp move downward takes out the ST and, ideally, the SC. Here, the Composite Man taps into the stop losses below the ST and breakout sell orders to fill his buy orders, creating the Cause.
Phase C
- Spring: Following the ST(b), the price will likely test the first and second upper bounds, but it is supposed to always stay within them. After doing so, the Composite Man will push the price down for the last time below the ST(b), liquidating any orders resting below here to form the Spring.
- Test: After creating the Spring, the Composite Man will often test the area to see if there’s any supply left. The price will make a higher low near the Spring, often with a lower volume. Note that there can be multiple tests.
Phase D
- Last Point of Support (LPS): Following the test and another leg higher, the price will pull back to test supply once again. LPSs are usually much higher than the initial Tests and are often the last move before the markup begins. LPSs can form both before and after the SOS, depending on how the price action plays out.
- Sign of Strength (SOS): Here, the price breaks above the highest upper bound and confirms the schematic, often with higher volume. As mentioned, the LPS can form after the breakout and fall back in the range or test the upper resistance line. After the SOS forms, the markup begins and produces the Effect as seen in the Wyckoff accumulation chart above.
Wyckoff Distribution Schematics
Phase A
- Preliminary Supply (PSY): After an uptrend, the Composite Man begins to unload his position, causing the price to fall slightly.
- Buying Climax (BC): Like the SC, the BC is where buying pressure is at its most extreme, coinciding with high volume.
- Automatic Rally (AR): After buying subsidies, prices fall to form the AR, usually above the PSY. This is our first lower bound, shown in the Wyckoff distribution examples.
- Secondary Test (ST): The price revisits the BC area to create another high usually below the BC, building up liquidity for future phases. The volume should be low.
Phase B
- Sign of Weakness in Phase B (SOW(b)): A move down past the AR that indicates supply is entering the market. Like the SOS(b), the SOW(b) doesn’t always occur, but if it does, it forms our second lower bound.
- Upthrust (UT): This is the distribution equivalent of an ST(b). It must reach higher than the ST and may take out the BC. Here, the Composite Man uses short stop losses and breakout trades to fill his sell orders.
Phase C
- Upthrust After Distribution (UTAD): The UTAD is analogous to an accumulation’s Spring. Following the UT, one last tap into areas of liquidity is made before the markdown.
- Test: Similar to accumulation, there are usually one or more tests made near the UTAD attempting to see if any demand remains.
Phase D
- Last Point of Supply (LPSY): After the price declines, the final demand tests are made. Like accumulations, these points can occur before or after the Sign of Weakness. They’re typically the last bullish moves made before the markdown begins.
- Sign of Weakness (SOW): The lowest bound is broken as the price begins to confirm its bearish structure. Another LPSY can be made, but this is the final step before the markdown.
Type 2 Schematics
Type 2 Wyckoff schematics have all of the same ingredients, just without a Spring or UTAD. Wait for the SOS or SOW to occur. If you have just a single ST and an ST(b), or an ST and UT, and the markup or markdown begins, you know it’s a Type 2. This is seen in the Wyckoff graph above. Both can be traded in the same ways as a Type 1.
Wyckoff Trading: Pros and Cons
The Wyckoff trading method offers a systematic approach to analysing market trends and making trading decisions. Like any trading strategy, it comes with its advantages and disadvantages that traders often consider.
Pros
- Structured Framework: The Wyckoff method provides a clear framework for identifying market phases, supporting traders when building entry or exit strategies.
- Focus on Market Psychology: It emphasises understanding the behaviour of the “Composite Man,” which can offer insights into market sentiment and potential moves.
- Versatility: The Wyckoff strategy can be applied across various markets, including forex, stocks, commodities, and cryptocurrencies*.
- Incorporates Volume Analysis: Analysing volume in relation to price action may help traders to gauge the strength of trends and potential reversals.
Cons
- Complexity: The Wyckoff trading method requires a deep understanding of market mechanics and chart patterns, which may be challenging for beginners.
- Requires Patience: Identifying the correct phase of a Wyckoff accumulation or distribution can take time, and trades may require waiting for confirmation signals.
- Subjective Interpretation: Like many technical analysis tools, the Wyckoff method depends on the trader’s interpretation, leading to varying results.
- Not Foolproof: While the Wyckoff market cycle method is powerful, it is not infallible and is typically used in conjunction with other analysis tools.
The Five-Step Wyckoff Trading Strategy
Luckily, Wyckoff developed a five-step framework for applying his methodology. The following structure outlines how traders build Wyckoff trading strategies using price and volume analysis. It can be adapted to develop a Wyckoff forex trading strategy.
1. Determine the current market trend. Assess whether the overall market is bullish or bearish.
2. Choose your market. Find a pair that strongly correlates to this overall trend.
3. Find a pair currently undergoing accumulation or distribution.
4. Determine the pair’s readiness to move. This involves examining the Wyckoff phase of the asset and volume. If a Spring or UTAD has just occurred, you could consider it viable.
5. Find your entry. Traders often enter on Tests or LPS/LPSYs.
Final Thoughts
Despite its age, Wyckoff’s logic in forex trading remains relevant. It reflects important price–volume relationships and market structure, which support traders when determining key turning points. It may form the basis of a trading approach when combined with other types of technical analysis, such as harmonic patterns, indicators, and support/resistance levels.
If you want to apply the Wyckoff method or test other trading approaches, you can consider opening an FXOpen account to trade over 700 markets with tight spreads and low commissions.
FAQ
What Are the 4 Stages of the Wyckoff Cycle?
The Wyckoff cycle is a four-phase model that describes how markets move from consolidation to trend and back again. The four stages are accumulation (where institutional players build positions), markup (the resulting uptrend), distribution (where those positions are sold), and markdown (the subsequent downtrend).
What Are the Three Laws of Wyckoff?
The three laws of Wyckoff are foundational principles that govern price behaviour within the methodology. The Law of Supply and Demand determines the direction of price. The Law of Cause and Effect links the size of an accumulation or distribution phase to the magnitude of the resulting move. The Law of Effort vs Results compares volume (effort) to price movement (result) to assess whether a trend is likely to continue or reverse.
What Is the Wyckoff Trading Range?
The Wyckoff trading range is a consolidation phase where accumulation or distribution occurs before a trend develops. It reflects a balance between supply and demand, often preceding a breakout or reversal.
What Timeframe Is Popular for the Wyckoff Method?
The Wyckoff method is a multi-timeframe approach, though daily and weekly charts are the most commonly referenced. Patterns on higher timeframes tend to produce more defined schematics and more significant price moves.
Can You Use Wyckoff for Day Trading?
Day trading with the Wyckoff method is possible, though it demands a strong grasp of short-term market structure and fast interpretation of price and volume shifts. Traders typically apply Wyckoff schematics on intraday charts (e.g., 5-minute or 15-minute) while referencing higher timeframes for context.
What Are Wyckoff Trading Strategies?
Wyckoff trading strategies are systematic approaches built around identifying accumulation and distribution phases using price and volume analysis. They typically involve recognising a Wyckoff schematic, confirming its phase, and acting on key events like Springs, Tests, or Signs of Strength.
*Important: At FXOpen UK, Cryptocurrency trading via CFDs is only available to our Professional clients. They are not available for trading by Retail clients. To find out more information about how this may affect you, please get in touch with our team.
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.
Update (March 27, 2026, 10:52 am UTC: This article has been updated to include comments from Shawn Young, chief analyst at MEXC Research.
US spot Bitcoin exchange-traded funds (ETFs) logged $171 million in outflows on Thursday, their biggest day of redemptions since March 3, when they posted $348 million in outflows.
BlackRock’s iShares Bitcoin Trust ETF (IBIT) led the outflows with $41 million, Fidelity’s Wise Origin Bitcoin Fund (FBTC) followed with $32 million, the ARK 21Shares Bitcoin ETF (ARKB) sold $30.5 million, and Grayscale’s Bitcoin Trust ETF (GBTC) sold $24 million, according to data from Farside Investors.
The outflows follow a period of demand for Bitcoin ETFs, which attracted $1.36 billion in monthly inflows so far in March and are on track for their first month of net accumulation since October 2025, when ETFs clocked $3.42 billion in net inflows, according to Sosovalue data.
US-listed spot Bitcoin ETFs are a signal of institutional demand for Bitcoin (BTC), which fell below the $70,000 mark on Thursday. BTC fell 4.7% over the past week and traded at $67,780 at the time of writing, according to CoinMarketCap.
The $171 million in outflows signals that Bitcoin ETF investors are “beginning to pull back” and hedge against geopolitical escalations in the US-Israeli conflict with Iran, Shawn Young, chief analyst at MEXC Research, told Cointelegraph, but added that net ETF flows remained positive since the beginning of the conflict.
Still, Bitcoin ETFs are just “one good day away” from reversing their year-to-date outflows, said senior Bloomberg ETF analyst Eric Balchunas, who praised the ETFs for their “incredible fortitude” amid Bitcoin’s 46% correction from the $126,198 all-time high in October 2025.
“For context, when gold fell 40% in a short time frame about 10 years ago, it saw 1/3 of its investors bail,” said Balchunas in a Tuesday X post.
Related: Morgan Stanley files amended S-1 for MSBT Bitcoin ETF
Investors fear weekend war escalation
The Bitcoin ETF sell-off follows reports that the US Department of Defense is sending thousands of soldiers to the Middle East, sources familiar with the matter told Reuters on Tuesday.
On Thursday, US President Donald Trump announced an extension to the ceasefire on Iranian energy infrastructure by 10 days to April 6, citing constructive ongoing negotiations.
Despite the announcement by Trump, market participants remain worried about another unexpected weekend escalation, Kyle Rodda, senior financial analyst at Capital.com, told Cointelegraph. He said:
“Amidst the headline risk and he-said, she-said games about whether negotiations between the US and Iran are taking place, the US is moving assets and personnel towards the Middle East to prepare for what looks like a limited ground invasion.”
Investors are jittery about any potential escalation after being caught off guard by the initial US and Israeli strikes on Iran on Feb. 28, which occurred in the middle of constructive negotiations, Rodda added.
Magazine: Bitcoin’s ‘biggest bull catalyst’ would be Saylor’s liquidation — Santiment founder
Michael Saylor quoted a CNBC TV anchor who repeated his marketing spiel about STRC on live television.
On Thursday’s edition of CNBC’s Power Lunch, Saylor was asked by host Brian Sullivan, “Am I offending you if I call it a money market fund?”
Sullivan was referencing Strategy’s publicly-traded STRC, a 11.5% dividend-paying preferred share that is definitely not a money market fund.
Saylor, who’s spent months likening his uninsured STRC to insured savings products like FDIC-insured bank accounts and SIPC-insured money markets happily agreed.
“It’s meant to be like a money market,” Saylor replied, continuing months of misleading statements about the shares that are supposed to trade near $100 yet have traded beneath $93.50 on 10 separate days.
He later tweeted the clip, declaring that his company’s digital credit products are somehow “redefining” yield.
Unfortunately, STRC is paying 11.5% for a reason, mostly because Strategy hasn’t been able to lower that rate and sustain demand for STRC’s share price near its intended $100 stated amount.
STRC is also nothing like a money market fund, and according to Bloomberg, 80% of STRC buyers have been retail investors, rather than sophisticated institutions.
Read more: Strategy is paying credit card rates to keep STRC at $100
STRC versus an actual money market fund
Unlike a money market fund, Strategy isn’t required to hold full assets to back STRC’s par value, has no bid in the Nasdaq market to support its share price, isn’t required to maintain any particular pricing value of investors’ principal, and has no liquidity requirement to support redemptions.
SEC-registered money market funds must comply with Rule 2a-7 and its liquidity minimums and asset diversification rules.
Money markets maintain stable net asset values by investing in short-term, high-quality debt.
STRC, in contrast, doesn’t comply with money market regulations and invests in one of the most volatile assets in history, bitcoin (BTC).
Unlike a money market fund, STRC pays a dividend from a company with a junk “B-” credit rating from S&P analysts. That same company reported a $12.4 billion net loss in a single quarter.
US money market funds carry SIPC protections when purchased through a registered US brokerage. Bank money market accounts carry FDIC insurance. STRC carries no insurance.
Strategy itself admitted on page 90 of its earnings presentation that STRC isn’t a money market fund.
The company conceded that it’s “not required to hold any assets to back the STRC Stock.” That disclosure didn’t stop Saylor and Sullivan from floating the comparison on national television.
Nor did it stop Saylor from enthusiastically agreeing.
$100 or $90.52 per share, depending on the day
Money market funds shouldn’t lose more than 7% of their value in a few hours. STRC has, repeatedly.
The stock fell to $90.52 in November 2025 and to $93.10 in February 2026. Strategy hiked its dividend rate seven times since launch to encourage secondary trading closer to $100.
Its dividend rate, which started at 9% in July 2025, now sits at 11.5%, a 250 basis point increase.
Meanwhile, BTC trades near $66,000, well below Strategy’s average purchase cost of $75,694 per coin. The company’s entire BTC operation has lost money since inception, while MSTR common stock has declined 74% from its November 2024 high.
Saylor told Sullivan that BTC needs to appreciate just 2% a year to cover STRC’s dividends forever.
However, he conveniently omitted that his model only works for MSTR shareholders if BTC rallies 30% annually, a forecast he has repeated for years but that BTC’s five-year annualized return hasn’t delivered.
Indeed, Saylor has compared STRC to insured products for months.
He described it on CNBC as “a bank that pays you 20% interest.” On an earnings call, he recommended STRC “for your family treasury.”
Incredibly, STRC raised over $1.18 billion in a single week this month, suggesting that comparisons like Sullivan’s are working exactly as intended.
Sullivan’s framing of STRC as a money market fund may have been casual. For the retail investors buying STRC on the basis of these comparisons, the difference between a money market fund and a junk-rated perpetual preferred stock is anything but.
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In this video, we’ll explore the key economic events and market trends, shaping the financial landscape. Get ready for insights into financial markets to help you navigate the week ahead. Let’s dive in!
In this episode of Market Insights, Gary Thomson breaks down what moved the markets over the past few days and unpacks the strategic implications of the most critical events driving global markets.
👉 Key topics covered in this episode:
✔️ What Happened in the Markets Over the Past Few Days
US-Iran tensions are fueling market uncertainty, with shifting headlines, mixed negotiation signals, and no clear resolution. Oil remains volatile, and equities reflect fragile sentiment rather than a trend. Will markets find direction, or will uncertainty keep prices unstable?
✔️ US Retail Sales
US Retail Sales data on 1 April could signal shifts in consumer demand, following weak growth in recent months and a decline in January. The US dollar may react sharply if the new figures diverge from expectations. Will retail sales show a rebound, or continue the trend of weakening consumer demand?
✔️ US Nonfarm Payrolls and Unemployment Rate
US Nonfarm Payrolls and the Unemployment Rate on 3 April could reveal whether the labour market is weakening or stabilising, after February’s 92,000-job loss and a rise in unemployment to 4.4%. Will the data show further deterioration, or a surprising rebound in US employment?
In summary, next week markets face a balance between elevated volatility from geopolitical risks and potential direction from upcoming macroeconomic data.
Gain insights to strengthen your trading knowledge.
💬 Don’t forget to like, comment, and subscribe for more market insights every week.
Watch it now and stay updated with FXOpen.
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.
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