Crypto World
What Is the Wyckoff Trading Method?
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.
Geopolitical tensions surrounding the Strait of Hormuz renewed a risk-off mood across cryptocurrency markets over the weekend, pressuring Bitcoin after a brief rally earlier in the week. On Friday, Bitcoin surged above $78,300 on Coinbase — its highest level since early February — but the rally faded as broader developments escalated. By weekend’s end, BTC had retreated to the $75,000–$76,000 zone, and late Sunday slid further to briefly dip below $74,000 in the wake of a U.S. military operation in the region.
The U.S. military announced that it opened fire on and later seized an Iranian cargo ship it said was attempting to breach a blockade of Iranian ports, a move that Tehran characterized as a violation of a two-week ceasefire between the two nations. The ceasefire, which had contributed to a calmer backdrop for energy markets and crypto trading alike, is due to expire this week, with investors watching how any renewal or breakdown could influence risk assets.
As tensions escalated, Tehran signaled retaliation and reportedly rejected a new round of peace talks slated for Monday in Islamabad, citing the U.S. blockade. The combined stance from Washington and Tehran underscored the fragility of a de-escalation path, complicating the outlook for both oil and crypto markets in the near term.
The broader market backdrop reflected the tension. U.S. stock futures opened Sunday night lower, with S&P 500 futures down about 0.8%, Nasdaq-100 futures off 0.6%, and Dow futures down roughly 0.9% (around 450 points). Oil markets reacted in kind, with crude futures rising more than 4.5% and trading above $95 a barrel as supply concerns and geopolitical risk re-entered the narrative.
Crypto market sentiment also shifted. The Crypto Fear & Greed Index edged higher to 29 out of 100 on Monday, signaling a return to fear after a period of relative calm, though it remained in the cautious end of the spectrum rather than outright panic.
Bitcoin’s price trajectory over the weekend underscores how sensitive the crypto market remains to macro-driven risk factors in addition to its own supply-and-demand dynamics. The move back toward the mid-$70,000s after a weekend foray into the mid-$70k range highlighted the potential for renewed volatility should the conflict persist or escalate around Hormuz and related channels.
Cointelegraph has previously noted how macro tensions, including geopolitical flare-ups and oil price swings, have historically fed into bitcoin’s price action, offering a potential liquidity tilt during periods of global uncertainty. The current sequence — a Friday peak followed by a weekend retreat and a Sunday plunge tied to military actions — illustrates the ongoing intersection between energy markets, geopolitical risk, and crypto liquidity.
Looking ahead, the key question for traders is whether the ceasefire holds long enough for markets to re-price risk more calmly or if renewed escalation magnifies volatility. The end-date of the current two-week ceasefire looms large for both oil markets and digital assets, as any renewal terms or new conflict dynamics could reintroduce abrupt shifts in sentiment, liquidity, and hedge demand.
Analysts will also be watching how the U.S. and Iranian sides approach diplomacy in the coming days. Tehran’s rejection of new talks and its vow of retaliation, alongside the U.S. military actions, suggests that any easing in risk appetite may depend heavily on clear signals of de-escalation rather than the mere absence of headlines.
In the near term, Bitcoin and other major cryptocurrencies may continue to trade within a risk-off framework so long as geopolitical headlines dominate. Traders will likely weigh potential upside toward prior resistance levels against the risk of renewed volatility if tensions intensify or the ceasefire breaks down again. As always, liquidity, macro cues, and the evolving diplomatic calculus will shape the path forward for BTC and the broader crypto market.
What to watch next: the timing and outcome of any renewed discussions around the ceasefire, ongoing responses from both Tehran and Washington, and the corresponding reactions in oil and traditional equity markets. The coming days could reveal whether this episode marks a temporary pause in risk appetite or a more sustained shift in how investors price geopolitical risk into digital assets.
Crypto World
LayerZero blames Kelp’s setup for $290 million exploit, attributes it to North Korea’s Lazarus
LayerZero has placed responsibility for the $290 million Kelp DAO exploit on Kelp’s own security configuration, saying the liquid restaking protocol ran a single-verifier setup that LayerZero had previously warned against.
The attack used a novel vector targeting the infrastructure layer rather than any protocol code.
Attackers, whom LayerZero attributed with preliminary confidence to North Korea’s Lazarus Group and its TraderTraitor subunit, compromised two of the remote procedure call (RPC) nodes that LayerZero’s verifier relied on to confirm cross-chain transactions.
RPC nodes are the servers that let software read and write data on a blockchain, and LayerZero’s verifier used a mix of internal and external ones for redundancy.
The attackers swapped the binary software running on two of those nodes with malicious versions designed to tell LayerZero’s verifier that a fraudulent transaction had occurred, while continuing to report accurate data to every other system querying those same nodes.
That selective lying was engineered to keep the attack invisible to LayerZero’s own monitoring infrastructure, which queries the same RPCs from different IP addresses.
Compromising two nodes was not enough. LayerZero’s verifier also queried uncompromised external RPC nodes, so the attackers ran a distributed denial-of-service attack on those to force failover to the poisoned ones.
Traffic logs LayerZero shared show the DDoS running between 10:20 a.m. and 11:40 a.m. Pacific Time on Saturday. Once the failover triggered, the compromised nodes told the verifier a valid cross-chain message had arrived, and Kelp’s bridge released 116,500 rsETH to the attackers. The malicious node software then self-destructed, wiping binaries and local logs.
The attack only worked because Kelp ran a 1-of-1 verifier configuration, meaning LayerZero Labs was the sole entity verifying messages to and from the rsETH bridge.
LayerZero’s public integration checklist and direct communications to Kelp had recommended a multi-verifier setup with redundancy, where consensus across several independent verifiers would be required to confirm a message. Under that configuration, poisoning one verifier’s data feed would not have been enough to forge a valid message.
“KelpDAO chose to utilize a 1/1 DVN configuration,” LayerZero wrote, using the protocol’s term for decentralized verifier networks. “A properly hardened configuration would have required consensus across multiple independent DVNs, rendering this attack ineffective even in the event of any single DVN being compromised.”
LayerZero said it has confirmed zero contagion to any other application on the protocol. Every OFT-standard token and application running multi-verifier setups was unaffected.
The LayerZero Labs verifier is back online, and the company said it will no longer sign messages for any application running a 1-of-1 configuration, forcing a protocol-wide migration off single-verifier setups.
The architectural distinction matters for how DeFi prices LayerZero risk going forward.
A protocol-level bug would have implied every OFT token on every chain was potentially at risk. However, a configuration failure by a single integrator, combined with a targeted infrastructure attack, implies the protocol worked as designed and that Kelp’s security choices, not LayerZero’s code, created the opening.
Kelp has not yet publicly responded to LayerZero’s framing or addressed why it operated a 1-of-1 verifier setup despite the explicit recommendations against it.
Lazarus Group has been linked to the Drift Protocol exploit on April 1 and now Kelp on April 18, meaning the same North Korean unit has drained more than $575 million from DeFi in 18 days through two structurally different attack vectors: social engineering governance signers at Drift and poisoning infrastructure RPCs at Kelp.
The group is adapting its playbook faster than DeFi protocols are hardening their defenses.
Crypto protocols lost over $606 million to hacks in just 18 days of April 2026. That makes it the single worst month for exploits since February 2025.
The surge comes from two attacks on KelpDAO and Drift Protocol. Together, they account for 95% of April’s losses and 75% of 2026’s total of $771.8 million.
April 2026 Crypto Hack Losses Dwarf Q1 Combined
According to data from DefiLlama, April’s $606.2 million total across 12 incidents, it has already eclipsed the first quarter’s $165.5 million haul. That makes the month roughly 3.7 times as large as January, February, and March combined.
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| Month | Number of Hacks | Amount Lost |
| January | 12 | $100.1M |
| February | 8 | $24.2M |
| March | 15 | $41.3M |
| April (to April 18) | 12 | $606.2M |
| YTD Total | 47 | $771.8M |
Every month since February 2025 has held under $240 million, per DefiLlama’s tracker. That earlier figure was skewed by the $1.4 billion Bybit breach, which drove February 2025’s total to $1.466 billion.
April 2026’s losses arrived without any headline exchange hack of that size. The pattern shows how quickly attackers pivoted to Decentralized Finance (DeFi) infrastructure.
BeInCrypto reported that KelpDAO lost over $290 million on April 18, now the year’s largest single hack. Drift Protocol sits just behind at $285 million.
The damage has stacked up in recent days. Incidents at Vercel, Hyperbridge, Grinex Exchange, and Rhea Finance have piled in 2026.
“None of these accounts for the collateral damage seen across TVL, user trust, valuations, and the space’s morale. DeFi remains a niche market until risk can be properly priced; at this time, we’re far from it,” an anlyst wrote.
DeFi TVL Slides as Sentiment Cracks
DeFi total value locked (TVL) fell by more than 7% over the past 24 hours following the Kelp exploit. Aave alone dropped from $26.4 billion to near $17.9 billion.
“Every protocol is taking a hit now,” analyst Ted Pillows wrote.
Hack frequency is also climbing sharply. DeFi recorded 47 incidents in the first 4.5 months of 2026, compared with 28 over the same period in 2025. That works out to a roughly 68% year-over-year rise.
The reactions point to rising concern that DeFi’s risk pricing has not caught up with infrastructure-layer exploits. Dollar losses sit below 2025’s Bybit-skewed pace, yet incidents keep stacking. The next few weeks will show whether DeFi can tighten security before April’s trend defines the year.
The post April 2026 Becomes Worst Month for Crypto Hacks Since February 2025 appeared first on BeInCrypto.
The decentralized finance (DeFi) ecosystem is experiencing a sharp capital outflow following the weekend exploit of the KelpDAO protocol.
Leading DeFi lending platform Aave has lost $8.45 billion in deposits over the past 48 hours, driving a broader $13.21 billion decline in total value locked (TVL) across DeFi. TVL refers to the combined dollar value of crypto assets deposited across DeFi protocols, such as Aave, and is widely used as to measure liquidity and overall market activity.
Total value locked across DeFi fell from $99.497 billion to $86.286 billion, while Aave’s TVL declined by $8.45 billion to $17.947 billion over the same period, according to DefiLlama. Protocol-level data shows double-digit percentage drops across platforms, including Euler, Sentora, and Aave, with losses concentrated in lending, restaking, and yield strategies tied to the affected collateral.
The move stems from a $292 million exploit of Kelp’s bridge that allowed attackers to use stolen rsETH, a liquid re-staking token widely used in DeFi, as collateral to borrow funds on lending platforms.
Because these stolen tokens lacked legitimate collateral backing, borrowing against them created potential shortfalls for lenders. It’s similar to conning a traditional bank by depositing fake fiat and taking out loans against it, ultimately leaving the lender with bad debt.
Protocols responded by freezing affected markets, while panicked users withdrew funds, leading to a broad decline in total value locked.
Token prices have moved less sharply than deposits. The AAVE token is down about 2.5% over 24 hours, while UNI and LINK are down less than 1% over the same period, according to CoinDesk market data.
Peter Chung, head of research at Presto Research, said in a note the incident highlights risks in cross-chain infrastructure, particularly in verification systems used by bridges.
Early analysis suggests the issue may have originated in the verification layer rather than in smart contracts themselves.
Chung added that the episode also shows how interconnected DeFi protocols can transmit shocks beyond the initial point of failure, with withdrawal activity and market freezes extending to platforms without direct exposure to the exploit.
Bitcoin erased its weekend gains as it fell below $74,000 on Sunday after the US military seized an Iranian cargo ship, putting pressure on a ceasefire between the two countries.
Bitcoin (BTC) had soared above $78,300 late Friday on Coinbase, its highest price since early February, but dropped to between $75,000 and $76,000 over the weekend after Iran said it would close vital oil routes in the Strait of Hormuz.
The cryptocurrency then sank sharply late on Sunday to briefly trade below $74,000 after the US military said it opened fire on, and later seized, an Iranian cargo ship it claimed tried to run its blockade of Iranian ports, with Tehran accusing the US of violating an agreed ceasefire.
The two-week ceasefire between the US and Iran, which had helped boost the markets and temper oil prices, is set to end on Wednesday.
Tehran has vowed to retaliate over the US military’s seizure of the ship and has rejected a new round of peace talks slated for Monday in Islamabad, Pakistan, due to the US blockade, Iranian state media reported.
Related: Bitcoin eyes $90K as whales absorb 20x daily BTC supply in 30 days
US stock futures sank Sunday night amid rising tensions, with S&P 500 futures dropping 0.8%, Nasdaq-100 futures falling 0.6% and Dow Jones futures declining 0.9%, or about 450 points.
Oil futures also soared amid the hostilities and Iran’s threat to close the Strait of Hormuz, with crude oil futures rising over 4.5% to over $95 a barrel.
The Crypto Fear & Greed index rose by two points to a score of 29 out of 100 on Monday, its highest score since late January, but which still indicated a sentiment of “fear.”
Magazine: Bitcoin will not hit $1M by 2030, says veteran trader Peter Brandt
Crypto analyst Ansem argues that Ethereum (ETH) is in a “worse spot” in 2026 than it was in 2023, pointing to a thesis he says has been eroding for years.
His bearish take drew rebuttals from some members of the community. Meanwhile, on-chain activity and technical indicators elsewhere on the network flash bullish signals.
Ansem Lists Cracks in the ETH Thesis
Ansem argues that Solana (SOL) has dominated retail activity this cycle. Hyperliquid has taken the lead in perpetual futures trading, while rollups have failed to gain traction.
He also noted that Vitalik Buterin “publicly abandoned” the general-use rollup thesis. The ongoing Aave (AAVE) situation around the KelpDAO rsETH exploit, Ansem said, is a mark on Ethereum’s core value proposition of “safety + security of defi & insto interest.
“ETH thesis has been weakening consistently for years,” the analyst wrote. ETH in 2026 is in a worse spot than it was in 2023, amplified by AI doing extremely well & tech stocks being much more favorable investments with real revenues / emerging narratives / increasing momentum, ETH is a $300B asset with a ton of overhang from Tom Lee topblasting + complacent ETH holders sitting idle in defi protocols.”
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Technically, the analyst noted that ETH remains in a sustained downtrend after failing to break multi-year resistance. He projected that the second-largest cryptocurrency could slip to 2025 lows near $1,300 and to the bear-market lows from 2022.
“Tight invalidation 2377 assuming problems worsen if you want to play it loose assuming other risk assets continues doing well & drags it up probably somewhere around 2700/2800 invalidation fundamentals wise would want to see breakout activity from some new vertical,” the post read.
Community Members Push Back
The take triggered notable pushback. Ryan Berckmans accused Ansem of not understanding fundamentals. Leo Lanza went further, sharply dismissing the analyst’s bearish case on X.
Another user pointed to a 56% drop in the SOL/ETH pair this cycle.
“Soleth is down 56% after being up 12x+ *this cycle* because one guy decided to buy 5% of the eth supply after it had underperformed all cycle. idk why you guys act like i dont also bearpost solana i havent posted anything bullish about sol in over a year,” Ansem replied.
Not everyone shares the bearish view on Ethereum. BeInCrypto recently highlighted that network activity remains strong, while technical indicators like the Rainbow Chart and MACD are also flashing bullish signals.
With macro and geopolitical uncertainty still in play, the question is whether ETH slides further this year or stages a renewed rally.
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The post Ansem Says Ethereum Is in a Worse Spot Than 2023 as Thesis Weakens appeared first on BeInCrypto.
Total value locked on decentralized lending protocol Aave dropped by nearly $8 billion over the weekend after hackers behind the $293 million Kelp DAO exploit borrowed funds on Aave, leaving roughly $195 million in “bad debt” on the protocol and triggering withdrawals.
Data from DeFiLlama shows that Aave’s TVL fell from about $26.4 billion to $18.6 billion by Sunday, losing the top spot as the largest DeFi protocol.
Aave v3’s lending pools for USDt (USDT) and USDC (USDC) are now at 100% utilization, meaning that more than $5.1 billion worth of stablecoins cannot be withdrawn until new liquidity arrives or borrows are repaid.
Aave’s TVL fall shows how rapidly risk from a single security incident can spread throughout the broader, interconnected DeFi lending market, potentially leading to a severe liquidity crisis.
The incident began on Saturday when hackers stole 116,500 Kelp DAO Restaked ETH (rsETH) tokens worth about $293 million from Kelp DAO’s LayerZero-powered bridge and used them as collateral on Aave v3 to borrow wrapped Ether (wETH).
Crypto analytics platform Lookonchain said the move created about $195 million in “bad debt” on Aave, which contributed to the Aave (AAVE) token tanking nearly 20% from $112 on Saturday at 6:00 pm UTC to $89.5 about 25 hours later.
Lookonchain noted that some of the largest crypto whales to withdraw funds from Aave were the MEXC crypto exchange and Abraxas Capital at $431 million and $392 million, respectively.
Several crypto networks and protocols tied to rsETH or the LayerZero bridge have paused use of the bridge until the problem is resolved, including DeFi platform Curve Finance, stablecoin issuer Ethena and BitGo’s Wrapped Bitcoin (WBTC).
Aave has frozen several rsETH, wETH markets
Shortly after the Kelp DAO exploit, Aave said it froze the rsETH markets on both Aave v3 and v4 to prevent any suspicious borrowing and later stated that rsETH on Ethereum mainnet remains fully backed by underlying assets.
WETH reserves also remain frozen on Ethereum, Arbitrum, Base, Mantle and Linea, Aave said.
This incident marks the first significant stress test of Aave’s “Umbrella” security model, which was introduced in June 2025 to provide automated protection against protocol bad debt while enabling users to earn rewards.
Related: Aave DAO backs V4 mainnet plan in near-unanimous vote
Earlier this month, the Bank of Canada found that Aave avoided bad debt in its v3 market by using overcollateralization, automated liquidations and other strategies that shifted risk to borrowers.
In comments to Cointelegraph, Aave defended its liquidation-based model, framing it as a core safety mechanism that protects lenders while limiting downside for borrowers.
It comes as Aave parted ways with its longest-standing DeFi risk service provider, Chaos Labs, on April 6, following disagreements over the direction of Aave v4 and budget constraints.
Magazine: Are DeFi devs liable for the illegal activity of others on their platforms?
A breach at web infrastructure provider Vercel is forcing crypto teams to rotate API keys and do a deep inspection of their underlying code.
In a bulletin, Vercel said the hacker was able to grab behind-the-scenes settings that weren’t locked down, potentially exposing API keys — the digital credentials apps use to connect to other services. Those credentials act like digital passwords, allowing software to connect to databases, crypto wallets, and external services. In the wrong hands, they can be used to impersonate an app, burn through usage limits, or manipulate how it runs.
A post on cybercrime forum BreachForums claimed to be selling Vercel data for $2 million, including access keys and source code, though those claims have not been independently verified. Vercel said it has engaged incident response firms and law enforcement and is continuing to investigate whether any data was exfiltrated.
The company traced the intrusion to Context.ai, a third-party AI tool used by an employee, its CEO said in an X post, where a compromised Google Workspace connection allowed attackers to escalate access into Vercel’s internal environments. Vercel said environment variables marked as “sensitive” are stored in a way that prevents them from being read, and that there is no evidence that they were accessed.
The incident is drawing scrutiny because Vercel underpins frontend infrastructure for many crypto applications and is the primary steward of Next.js, one of the most widely used web development frameworks. Many Web3 teams host wallet interfaces and decentralized app dashboards on Vercel, relying on environment variables to store credentials that connect their frontends to blockchain data providers and backend services.
Solana-based decentralized exchange Orca said its frontend is hosted on Vercel and that it has rotated all deployment credentials as a precaution. The project added that its on-chain protocol and user funds were not affected.
Crypto World
BeInCrypto 100 Institutional Awards Nomination: BitGo for Best Stablecoin Infrastructure Leader
Stablecoins have moved into core financial infrastructure. Monthly on-chain volume now exceeds $2 trillion. Payment networks like Visa, Mastercard, and Stripe have all expanded into the space.
However, the infrastructure behind them is almost invisible. This includes custody, minting, settlement, and compliance systems. That is where BitGo operates.
The company is now nominated for Best Stablecoin Infrastructure Leader at the BeInCrypto Institutional 100 Awards 2026.
Growing Institutional Footprint
The nomination centers on BitGo Mint, launched April 2, 2026. The platform allows institutions to mint, redeem, and manage stablecoins directly within BitGo’s custody environment.
BitGo’s move comes after a series of structural milestones. In December 2025, the Office of the Comptroller of the Currency approved its conversion to a federally chartered national trust bank.
One month later, BitGo listed on the New York Stock Exchange under the ticker BTGO.
That sequence placed BitGo in a unique position where it operates stablecoin infrastructure inside a federally regulated banking framework.
Founded
Assets on Platform
Clients
Ticker
Insurance
Federal Charter
2013
$81.6 billion
5,322
NYSE: BTGO
$250 million
OCC
Assets and client data are based on BitGo’s SEC filings as of December 31, 2025. Insurance and charter details follow the OCC approval in December 2025.
BitGo Mint launched with support for two stablecoins. These include USD1, developed by World Liberty Financial, and SoFiUSD, issued by SoFi Bank. Both run on BitGo’s Stablecoin-as-a-Service infrastructure.
This system handles custody, reserve management, and minting mechanics. It also provides compliance frameworks required for institutional issuance. USD1 is backed by short-term US Treasuries and cash equivalents, with reserves held under qualified custody.
Building a Regulated Stablecoin Backbone
Scale is a central part of the nomination. According to its March 2026 10-K filing, BitGo reports $81.6 billion in assets on platform.
Institutional clients reached 5,322, up 103.5% year over year. The platform also serves 1.2 million users and holds $15.6 billion in staked assets.
The company operates under a national trust bank charter. This allows it to provide custody and related services across all 50 US states without separate licenses. Assets held in custody are insured for up to $250 million.
Analysts have described BitGo as a “military-grade custodian.” The comment reflects its long-standing focus on institutional security infrastructure.
The stablecoin push extends beyond BitGo Mint. In March 2026, the firm partnered with Stable Sea to support B2B stablecoin payments and on-chain treasury services. These products run through its Crypto-as-a-Service stack.
As a result, BitGo now offers a unified system. Custody, wallets, staking, trading, financing, and stablecoin infrastructure operate within a single regulated entity.
This is the core of the nomination. BitGo has combined federal banking oversight with stablecoin issuance and custody in one platform. Most providers still separate these functions across different systems.
The model is already live. Institutions can mint, hold, and distribute stablecoins within a regulated custody workflow.
That changes how stablecoins move between issuers, markets, and counterparties.
The BeInCrypto Institutional 100 Awards aim to identify infrastructure providers shaping the next phase of digital finance. BitGo’s nomination reflects its role in building the backend systems that support institutional stablecoin adoption.
The post BeInCrypto 100 Institutional Awards Nomination: BitGo for Best Stablecoin Infrastructure Leader appeared first on BeInCrypto.
TLDR:
- Bitcoin Open Interest fell from $27B to $24B, reflecting broad long position closures across the derivatives market.
- Funding rates stayed slightly positive, confirming shorts are not leading BTC’s current price correction phase.
- One-hour heatmap data showed no major liquidity zones, pointing to capital outflows rather than liquidity hunting moves.
- Analyst Carmelo Alemán noted BTC’s price decline is a consequence of prior structural weakness, not a fresh bearish trigger.
Bitcoin Open Interest has declined sharply, drawing attention to the market’s weak structural foundation. On-chain analyst Carmelo Alemán noted that BTC’s recent price pullback aligns with a notable drop in derivatives exposure.
Open Interest fell from roughly $27 billion to $24 billion. This pattern reflects long position closures and progressive deleveraging rather than aggressive selling. The data confirms that the earlier rally lacked real spot demand and was largely built on leveraged positions.
BTC Price Decline Tied to Derivatives Deleveraging
Bitcoin’s recent correction is directly connected to a derivatives-heavy market structure. Alemán had previously raised concerns that the bullish move lacked structural consistency.
The rally was fueled by futures activity rather than genuine demand in the spot market. Recent market behavior has since confirmed that earlier assessment clearly.
Open Interest dropping from $27 billion to $24 billion captures the full scope of the unwind. Long positions have been closing at a steady pace, pulling down overall derivatives exposure.
This process does not point to aggressive bearish pressure from short sellers. Instead, it reflects a gradual, market-wide effort to reduce leveraged exposure.
Heatmap analysis on the one-hour timeframe adds further context to the price movement. Based on TradingDifferent visual data, no major contiguous liquidity zones were identified in the area.
This rules out liquidity hunting or stop-loss sweeps as the primary driver behind the move. The price action therefore reflects capital outflows rather than directional pressure from either side.
Alemán, a verified contributor on CryptoQuant, noted that this outcome was foreseeable. A move built on derivatives tends to lose consistency once leverage begins coming off.
The price decline is not the root of the problem but a consequence of earlier fragility. The weak structural base was already present before the correction started materializing.
Positive Funding Rates Signal Risk Reduction, Not Bearish Control
Funding rates have remained slightly positive even as Bitcoin’s price continues to pull back. This is an important data point when assessing who is leading the current market move.
Positive funding rates show that long traders are still paying short traders a small periodic fee. Shorts are not the dominant force pushing prices lower at this stage.
Alemán noted that the market is not attacking the downside. Rather, participants are collectively choosing to reduce their derivatives exposure in an orderly way.
There is no evidence of coordinated short-side aggression driving the current phase. The correction aligns more with disciplined deleveraging than with a fresh bearish trend forming.
The one-hour heatmap data also supports this more neutral reading of market structure. Without major liquidity clusters nearby, price tends to drift lower in a measured, methodical manner.
The sharp, reactive moves typical of liquidity-driven markets are largely absent here. This reinforces the view that capital outflows, not targeted selling, are steering the current phase.
Bitcoin Open Interest contraction is clearing the excess leverage that accumulated during the earlier rally. Once this process runs its course, the market may find a more stable structural base.
Alemán’s analysis ties the current correction directly to the previously identified weakness in market structure. The price decline reflects the consequence of that fragility rather than a fresh bearish catalyst.
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