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Aave Drops Chaos Labs as Risk Provider, Citing Deliberate Decision

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Crypto Breaking News

Chaos Labs has parted ways with Aave after three years of serving as the crypto lending protocol’s primary risk service provider, citing a budget dispute and fundamental disagreements over how risk should be managed. The rupture signals a notable inflection point in DeFi risk governance as Aave advances its V4 migration and navigates ongoing governance tensions within its ecosystem.

Chaos founder Omer Goldberg announced the decision on X, stressing that the move was deliberate and not made in haste. He said Aave Labs was willing to raise its budget to $5 million, but that the engagement “no longer reflected how we believe risk should be managed.” Aave Labs CEO Stani Kulechov offered a different framing, describing Chaos’s departure as the result of a push by Chaos to become the sole risk provider and to replace other partner models. Aave’s stance, the two sides said, remains professional; Chaos did not depart on acrimony, but the parties simply could not reconcile their risk-management philosophies.

Key takeaways

  • Chaos Labs exits after a three-year engagement as Aave’s main risk service provider, citing a budget dispute and diverging views on risk management.
  • The split underscores tensions between a single-provider model and a two-layer risk framework that Aave maintains, with Chaos allegedly seeking to replace Chainlink’s oracles and other partners.
  • Aave assures that the departure has not disrupted its protocol, smart contracts, or listings, while signaling it will continue working with LlamaRisk during the transition.
  • The move comes amid broader governance frictions within Aave Labs over funding and revenue control, and just weeks after a notable risk incident fueled calls for stronger safeguards.

What triggered Chaos Labs’ departure from Aave

Chaos Labs has been a cornerstone of Aave’s risk infrastructure since November 2022, handling pricing, risk assessment, and related guardrails across Aave’s V2 and V3 markets. In that period, Aave’s total value locked expanded markedly, underscoring the centrality of robust risk tooling to the protocol’s growth. By late February, Aave had crossed a historic milestone in lending activity, with cumulative lending volume advancing past the trillion-dollar mark, a milestone the project highlighted as a first for the DeFi sector.

Goldberg framed the decision as one driven by a misalignment over risk management and the scope of Chaos’s duties. “This decision was not made in haste,” he stated in a post to X. “We worked in good faith with DAO contributors. Aave Labs was professional and supported increasing our budget to $5m to retain us. However, we are leaving because the engagement no longer reflects how we believe risk should be managed.”

Aave’s account of the dispute diverges on what Chaos was seeking. Stani Kulechov contended that Chaos sought to become the sole risk manager and to substitute Chaos’s price oracles for Chainlink—an approach that would have effectively sidelined other risk partners and compromised Aave’s established two-layer risk model. Chaos’s proposal, Kulechov suggested, would have forced Aave to abandon its multi-provider framework, a move the protocol did not accept. Chaos later indicated it was examining winding down its risk consultancy, even as Aave reportedly offered to double the compensation to keep Chaos onboard.

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Beyond the personnel dynamics, the departure arrives at a moment of heightened sensitivity around risk in Aave’s community. The ecosystem has recently grappled with high-profile events that tested the resilience of its risk tools, including a $50 million loss traced to a user interacting with Aave’s interface on March 12. In response, Aave rolled out a shielded risk feature designed to deter high-risk trading behavior, signaling a public push to bolster user safeguards even as internal governance wrestles with funding and control questions.

Risk architecture at stake: Chaos’s demands vs. Aave’s model

At the heart of the disagreement is Aave’s two-layer economic risk model, which blends on-chain risk pricing with external risk data. Chaos has been integrated into the back end of that risk framework, providing pricing and risk management services that supported V2 and V3 liquidity and lending operations. The move toward a broader, multi-provider risk architecture—anchored by partners like Chainlink—was a core feature of Aave’s design philosophy as it expanded and upgraded to V4.

Goldberg argued that Chaos’s push to become the sole risk provider, coupled with a desire to substitute its price oracles for Chainlink’s, would have undermined the protocol’s diversification of risk inputs. Kulechov, conversely, stressed that Chaos’s demand would displace established partners and thrust Chaos into a governance role that Aave does not appear prepared to concede. The exchange underscores a broader tension in DeFi: how to balance centralized expertise with multi-source resilience in a rapidly evolving risk landscape.

In practical terms, the split leaves Aave poised to continue with LlamaRisk and other risk partners as it advances V4 and maintains its two-layer model. Chaos had suggested it could take on a more centralized risk-management posture, but Aave’s leadership signaled a preference for a governance-driven, multi-vendor approach, particularly as the platform expands its risk surface with new features and markets. The dispute also highlights a broader industry question: what responsibilities do risk managers owe when a protocol experiences a failure, and who bears the blame when risk controls falter?

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Operational realities of the migration and broader implications

The timing of Chaos’s exit aligns with Aave’s ongoing transition from V3 toward V4, a process that executives warned could stretch over months or even years as liquidity and markets migrate and the new feature set is absorbed into existing ecosystems. Goldberg noted that ongoing operations would require maintaining both V3 and V4 during the migration window, a workload that can be substantial for any risk provider. He warned that without clear safety harbors or settled legal precedents, risk governance remains an area of ambiguity with real consequences when things go wrong.

Kulechov framed the disruption as manageable and non-disruptive to Aave’s immediate operations. He emphasized that Chaos’s departure did not affect Aave’s smart contracts, token listings, or network integrations, and that the protocol would continue collaboration with LlamaRisk to ensure a smooth transition. The episode sits against a backdrop of ongoing governance debates about funding and revenue allocation within Aave Labs, a debate that has punctuated discussions about how the DAO should remunerate development and risk oversight in a high-growth, capital-intensive ecosystem.

For users and investors watching the DeFi risk space, the episode underscores two distinct strands: the push for diversified risk inputs that mitigate single points of failure, and the practical realities of a multi-year migration that tests the stamina of risk tooling and governance structures. The fact that Aave achieved a meaningful lending-volume milestone while navigating this internal shift demonstrates the resilience of its ecosystem, but it also raises questions about the pace of migration and the potential for further shuffles among risk partners as V4 scales.

Cointelegraph’s coverage of related risk and governance developments provides broader context for these tensions. For instance, Aave’s response to the March incident and the subsequent shield feature was part of a wider market emphasis on user protection and risk-aware design. The departure also sits within the wider narrative of DeFi risk management evolving from boutique, single-provider arrangements toward resilient, multi-provider ecosystems that can weather shocks and governance disputes alike.

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As Aave moves forward, the roadmap will hinge on how smoothly LlamaRisk can integrate and how quickly the V4 platform absorbs legacy markets and liquidity from V3. Chaos’s exit, while financially notable—the firm had been engaged at a $5 million level—illustrates the bargaining power that risk providers can wield in a high-stakes DeFi environment and the lengthier arc of governance negotiations that can accompany critical infrastructure changes.

For readers tracking the real-world implications, the key questions are clear: will Aave maintain a diversified, resilient risk framework as V4 expands? How quickly will the migration reduce the operational overlap between V3 and V4? And what lessons will the DeFi community draw about risk governance, budgeting, and partnerships from this high-profile split?

Investors and developers should watch for updates on Aave’s transition timeline, any new risk-partner arrangements, and how the community approaches risk coverage as V4 matures. The coming months will reveal whether the industry’s move toward multi-provider risk management proves more robust in practice, or if further shifts among top risk suppliers test the protocol’s continuity and user protection standards.

In the meantime, Aave’s leadership reiterated its commitment to maintaining its two-layer risk model and to working with partners—including LlamaRisk—to ensure a seamless transition. The episode also reinforces the broader industry takeaway that risk management in DeFi remains a live, evolving discipline—one where governance choices, partner ecosystems, and architectural design all shape the safety and reliability that users rely on every day.

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Readers can follow ongoing developments as Aave navigates V4 integration and the evolving risk landscape, including how new safeguards and partner arrangements influence user experience, security, and the protocol’s long-term resilience.

Related coverage: Aave’s shield initiative after a high-profile loss, and discussions around risk provision and governance within DeFi ecosystems, offer useful context for evaluating how this split may influence future risk partnerships and platform upgrades. Aave Shield rollout and ongoing governance debates illuminate the environment in which Chaos and Aave operated.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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NVDA Shares Approach Key Resistance

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NVDA Shares Approach Key Resistance

Nvidia’s chip production is concentrated with Taiwanese contractor TSMC, increasing the company’s exposure to geopolitical risks and US export policy. Restrictions on shipments to China, including decisions related to H20-series chips, have led to significant financial adjustments, which the market estimates at several billion dollars, linked to inventory and expected demand.

At the same time, the revenue structure remains resilient — around 69% of income is generated in the US domestic market, where hyperscalers continue to expand purchases of data centre accelerators. In the fourth quarter of fiscal 2026, revenue reached $68.1 billion, marking a 73% year-on-year increase, while full-year revenue totalled $215.9 billion (+65%).

In late March, the company announced an expansion of its strategic partnership with Marvell Technology, including a $2 billion investment and integration via the NVLink Fusion ecosystem, strengthening its position in the physical AI and robotics segments. At the same time, the broader macro backdrop remains subdued.

Technical Outlook

After reaching an all-time high near 210 in late October 2025, the stock entered a corrective downtrend. The correction bottomed at 165 on 30 March 2026, followed by a rebound, although prices remain around 177, showing no clear signs of a sustained recovery. The volume profile adds further clarity.

The highest concentration of trading activity during the observed period is located in the 181–183 range, where the Point of Control (POC) is positioned — this is the level where market participants were most active over several months, making it a key reference zone. Above current levels, the volume profile remains dense up to 189, which aligns with local highs from the second half of 2025 and acts as the nearest resistance.

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The RSI stands at 49.37, remaining in neutral territory and offering no clear directional bias. The latest session’s volume, at 107.11 million, indicates continued market participation. However, it is worth noting that the most pronounced spikes in volume and volatility typically occur around earnings releases — and with the next report scheduled for May 2026, the stock may continue to consolidate within the current range.

Summary

NVIDIA remains in a prolonged consolidation phase, supported by strong operational performance but weighed by a subdued macro environment. The volume profile highlights significant activity above current price levels, while RSI remains neutral. Market participants appear to be assessing incoming signals without rushing to conclusions.

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Anthropic secures multi gigawatt TPU deal with Google and Broadcom

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Outset Media Index debuts to standardize media analysis as AI answers challenge the old search model

Anthropic has struck a major infrastructure deal with Google and Broadcom to secure multi-gigawatt computing capacity, as demand for its Claude AI models continues to climb.

Summary

  • Anthropic has secured access to roughly 3.5 gigawatts of TPU compute through an expanded partnership with Google and Broadcom.
  • Most of the new infrastructure will be built in the United States.
  • The AI firm’s Annualized revenue has surpassed $30 billion.

Details disclosed in a recent securities filing show the semiconductor firm will support future iterations of Google’s tensor processing units, with part of that capacity allocated to Anthropic. The arrangement is expected to unlock roughly 3.5 gigawatts of compute, with deployments set to begin scaling from 2027.

Anthropic said its annualized revenue has now crossed $30 billion, up sharply from around $9 billion at the end of last year. The company also reported that more than 1,000 enterprise customers are each spending over $1 million annually, a figure that has doubled within weeks.

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“We are making our most significant compute commitment to date to keep pace with our unprecedented growth,” Anthropic’s chief financial officer Krishna Rao said, adding that the partnership would “build the capacity necessary to serve the exponential growth we have seen in our customer base.”

Most of the new infrastructure will be based in the United States, extending an earlier pledge to invest $50 billion into domestic compute capacity. The expansion also builds on Anthropic’s existing relationships with Google Cloud and Broadcom, following earlier TPU capacity announcements.

From Broadcom’s side, the deal adds to a growing pipeline of AI-linked revenue. CEO Hock Tan had previously confirmed that the company was already supplying around 1 gigawatt of compute for Anthropic through Google’s TPU systems, with demand expected to climb past 3 gigawatts in 2027.

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For Broadcom, the latest deal adds to a quickly growing list of AI infrastructure partnerships. During the company’s March earnings call, Broadcom CEO Hock Tan said it was already supplying roughly 1 gigawatt of compute for Anthropic and added that this was expected to surpass 3 gigawatts by 2027.

Wall Street estimates suggest the partnership could translate into significant earnings. Analysts at Mizuho have projected that Broadcom may generate about $21 billion in AI-related revenue from Anthropic in 2026, potentially doubling to $42 billion the following year.

At the same time, competition across AI infrastructure remains intense. AI developers, including Anthropic and its peers, continue to rely on a mix of hardware platforms, including Nvidia GPUs, Google TPUs, and custom chips. 

Broadcom is also working with OpenAI on separate silicon efforts, while cloud providers such as Amazon, Google, and Microsoft remain central to delivering that compute at scale.

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Anthropic noted that its Claude models are now deployed across all three major cloud ecosystems, allowing workloads to be distributed depending on performance needs.

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Planet Labs (PL) Stock Slides 2.6% Following CFO’s $7M Share Sale Despite Analyst Upgrades

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PL Stock Card

Key Takeaways

  • Planet Labs (PL) shares declined 2.6% during Monday’s session, reaching an intraday low of $34.21 before settling near $34.96.
  • The company’s CFO and President, Ashley F. Johnson, offloaded 200,000 shares on April 2, generating approximately $7 million in proceeds.
  • Fourth quarter fiscal 2026 revenue reached $86.82M—representing a 41.1% annual increase and exceeding analyst projections—though EPS significantly underperformed at ($0.48) versus the ($0.05) consensus.
  • Multiple Wall Street firms increased their price targets, with Needham and Wedbush both moving to $40, while Citi upgraded to $35.
  • The satellite imaging company also disclosed plans to redeem all outstanding public warrants on April 27, 2026, at a price of $0.01 per warrant.

Planet Labs (PL) experienced a 2.6% decline on Monday as market participants weighed a substantial insider transaction from a senior executive against the company’s latest quarterly performance.


PL Stock Card
Planet Labs PBC, PL

Ashley F. Johnson, who serves as both CFO and President, divested 200,000 Class A shares on April 2, collecting approximately $7 million from the transaction. The sale occurred in two separate blocks—51,460 shares were sold at prices ranging from $34.57 to $34.94, while another 148,540 shares moved at prices between $34.585 and $35.87.

Additionally, on April 6, Johnson executed a transfer of 525,708 shares to The Johnson Joint Revocable Trust, an entity controlled by Johnson and her spouse as co-trustees.

Insider selling activity has been notably active in recent months. Throughout the previous quarter, company insiders disposed of a combined 218,566 shares valued at approximately $5.9 million. Board member Vijaya Gadde also participated in January by selling 20,000 shares.

Such consistent selling activity often triggers caution among investors—regardless of whether underlying business metrics are strengthening.

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Top Line Strength, Bottom Line Weakness

Planet Labs delivered fourth quarter fiscal 2026 revenue of $86.82 million, comfortably surpassing the $78.17 million consensus forecast. This represents a robust 41.1% increase compared to the prior year period.

However, the earnings picture proved less encouraging. The company reported an EPS loss of ($0.48), substantially worse than the ($0.05) loss analysts had anticipated. Planet Labs continues to operate at a loss, reflected in a negative net margin of 80.22% and a negative return on equity of 69.61%.

Looking ahead, management issued Q1 fiscal 2027 revenue guidance approximately 5% above Street expectations—a factor that contributed to maintaining positive analyst sentiment despite the earnings shortfall.

Goldman Sachs increased its price objective to $18 while maintaining a Neutral stance. Needham elevated its target to $40, highlighting revenue and EPS beats of 11% and $0.02 respectively, and reaffirmed its Buy recommendation. Wedbush similarly raised its target from $30 to $40 with an Outperform rating. Citi upgraded its target from $30 to $35 while maintaining a Buy rating.

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Technical indicators show the stock’s 50-day moving average positioned at $26.21, with the 200-day average at $19.64—both substantially below Monday’s closing price.

Satellite Deployments and AI Integration

From an operational standpoint, Planet Labs recently delivered three Pelican satellites to Vandenberg Space Force Base in California, preparing for an upcoming SpaceX rideshare launch. These satellites are equipped with NVIDIA’s Jetson AI platform, enabling onboard data processing capabilities.

Warrant Redemption Notice

The company has declared its intention to redeem all outstanding public warrants for Class A common stock on April 27, 2026, at a redemption price of $0.01 per warrant.

Trading volume on Monday registered approximately 12.5 million shares—roughly 11% below the average daily volume of 14.1 million.

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Planet Labs currently maintains a market capitalization of $12.10 billion, operates with a debt-to-equity ratio of 2.37, and exhibits a beta of 1.83.

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6 profitable AI crypto quant trading bots of 2026 offering lucrative options

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6 profitable AI crypto quant trading bots of 2026 offering lucrative options

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

AI-powered quant trading bots lead crypto evolution in 2026, automating strategies and boosting efficiency.

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Summary

  • AI trading bots dominate 2026 crypto markets, automating strategies and driving passive income adoption
  • BitsStrategy gains attention for high-frequency trading, using AI to capture rapid market fluctuations
  • Automated quant trading tools rise as investors shift from manual trading to data-driven execution

The cryptocurrency market has continued to evolve in 2026, and AI-powered quant trading bots are now at the forefront of this transformation. These bots utilize cutting-edge artificial intelligence to analyze massive amounts of market data, execute trades with lightning speed, and maximize profit potential. For those looking to tap into crypto’s profit potential without the need for constant manual trading, these AI-driven bots can automate their trading strategies and generate passive income on their behalf.

In this article, we’ll highlight the 6 most profitable AI crypto quant trading bots of 2026, each offering innovative features and proven strategies that cater to a variety of trading needs.

Why turn to AI quant trading bots for profit?

AI trading bots bring several significant advantages to crypto traders:

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  • Data-Driven Precision: These bots make decisions based on vast amounts of real-time market data, ensuring that trades are backed by analysis rather than instinct.
  • Round-the-Clock Trading: AI bots never rest, executing trades 24/7, and ensuring lucrative market movements are never missed out.
  • Emotional Discipline: Bots make decisions based on logic and strategy, avoiding emotional biases that can often lead to costly trading mistakes.
  • Ease of Use: With many bots requiring no technical skills, even beginners can take advantage of their profit-making potential.

Let’s explore the top 6 AI crypto quant trading bots that are delivering profitable results in 2026.

1. BitsStrategy: Mastering the art of high-frequency trading

Overview: BitsStrategy leads the pack with its specialized focus on high-frequency trading (HFT). Using AI, it can execute a large number of trades in a fraction of a second, capitalizing on minute price fluctuations for consistent profits.

Why it stands out:

  • Optimized for high-frequency trades and rapid decision-making
  • Continuously adapts to market conditions with real-time strategy adjustments
  • Advanced risk management ensures minimal losses

Why choose BitsStrategy?
For traders who want to harness the power of high-frequency trading, BitsStrategy is unbeatable. Its speed and automation allow it to capitalize on even the smallest market movements, creating a reliable stream of income for users who don’t want to manually monitor every trade.

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2. Pionex: Capitalizing on arbitrage opportunities

Overview: Pionex excels in arbitrage trading, where its AI bots track price differences between crypto exchanges and exploit these discrepancies for profit. This highly profitable strategy requires little input from the trader, making it perfect for those seeking a passive income stream.

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Why it stands out:

  • Built-in arbitrage bot that scans multiple exchanges for profitable gaps
  • Seamless integration with crypto exchanges for instant trade execution
  • Low fees and high liquidity ensure optimal profits

Why choose Pionex?
For those looking for a low-risk, high-return strategy, Pionex’s arbitrage trading bot allows them to take advantage of price differences across exchanges, offering a stable source of income with minimal involvement.

3. 3Commas: The portfolio powerhouse

Overview: 3Commas isn’t just a trading bot — it’s an entire portfolio management system that uses AI to manage multiple assets simultaneously. It combines powerful tools like Dollar-Cost Averaging (DCA) and Grid Trading to ensure consistent profits, even in volatile markets.

Why it stands out:

  • Robust portfolio management tools that automatically balance investments
  • DCA and Grid bots for steady, long-term profit generation
  • Multi-exchange support and seamless integration across platforms

Why Choose 3Commas?
3Commas is the go-to platform for portfolio management, making it ideal for traders who want to automate their strategies across multiple exchanges while maintaining a diversified portfolio. The AI tools are designed for long-term success, ensuring a reliable source of passive income.

4. Cryptohopper: Tailoring trading strategy

Overview: Cryptohopper offers the ultimate in customizability. This platform allows users to create personalized trading strategies while still leveraging the power of AI. Whether they are a beginner or a pro, Cryptohopper adapts to their needs with its easy-to-use interface and powerful optimization tools.

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Why it stands out:

  • Customizable AI strategies for a personalized trading experience
  • AI-powered optimization of existing strategies to improve performance
  • Access to a strategy marketplace to purchase or sell pre-built strategies

Why choose cryptohopper?
If anyone wants to customize their trading strategy while benefiting from AI-powered execution, Cryptohopper provides the perfect blend of control and automation. It’s ideal for traders who want to experiment with their own strategies and leverage AI to maximize profits.

5. TradeSanta: Simplifying crypto trading for beginners

Overview: TradeSanta is designed for those who want simplicity in their trading experience. Its intuitive platform allows users to set up pre-defined strategies like Grid Trading and DCA, making it ideal for beginners who want to profit without getting into complex setups.

Why it stands out:

  • Pre-set strategies such as Grid Trading and DCA for beginners
  • Cloud-based interface, accessible from any device
  • Minimal setup required with automated execution

Why choose TradeSanta?
TradeSanta is perfect for beginners who want to start trading without dealing with complicated configurations. With its easy-to-use interface and pre-set strategies, it makes earning passive income from crypto trading as simple as clicking a button.

6. Coinrule: No-code strategy building

Overview: Coinrule’s standout feature is its no-code strategy builder, allowing users to create personalized AI trading strategies without any technical expertise. The platform’s intuitive interface is accessible to both novice and experienced traders.

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Why it stands out:

  • No-code strategy builder allows for fully customized trading strategies
  • Real-time AI-powered execution of personalized plans
  • Backtesting features to test strategies before going live

Why choose Coinrule?
For those who want to create their own tailored trading strategies but don’t have coding skills, Coinrule makes it easy to build and automate their trading plans. It’s perfect for those who want to take a more hands-on approach to their crypto trading while benefiting from AI-powered execution.

Conclusion

These 6 most profitable AI crypto quant trading bots of 2026 offer a range of strategies, from high-frequency trading to arbitrage and portfolio management, ensuring that there is a solution for every type of trader. Whether someone is a seasoned professional or a beginner just starting out, these bots provide the tools and automation needed to profit from the dynamic crypto market.

  • BitsStrategy offers high-frequency trading for rapid profits.
  • Pionex specializes in arbitrage opportunities across exchanges.
  • 3Commas provides a comprehensive portfolio management system.
  • Cryptohopper allows for customizable AI strategies.
  • TradeSanta simplifies trading for beginners.
  • Coinrule enables personalized strategies without coding.

By leveraging these AI trading bots, anyone can automate their trading, reduce risk, and increase profitability in 2026’s fast-moving cryptocurrency market. Choose the bot that best fits a particular trading style and start profiting today!

Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.

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US Spot Bitcoin ETFs Hit Strongest Gains Since February

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US Spot Bitcoin ETFs Hit Strongest Gains Since February

US-listed spot Bitcoin exchange-traded funds (ETFs) have renewed the pace of inflows, recording their largest daily flows in weeks.

Spot Bitcoin (BTC) ETFs posted $471 million in inflows on Monday, the largest daily inflow since Feb. 25, when the funds attracted $507 million, according to SoSoValue.

The inflows came as the Bitcoin price briefly approached $70,000 before retreating below $69,000, according to CoinGecko data.

The volatility occurred amid ongoing geopolitical pressure as well as renewed concerns over Bitcoin’s quantum resistance, while the Crypto Fear & Greed Index remained in “Extreme Fear” at 13.

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BlackRock’s IBIT leads the inflows at $182 million

BlackRock’s iShares Bitcoin Trust ETF (IBIT) led the inflows with about $182 million, followed by the Fidelity Wise Origin Bitcoin Fund (FBTC) with $147 million, according to Farside data.

The ARK 21Shares Bitcoin ETF (ARKB) ranked third with nearly $119 million, marking its largest daily inflow since July 10, 2025.

On Monday, the blockchain analytics platform Arkham observed that ETF outflows slowed to a halt last week, with major issuers selling just about $16.6 million in Bitcoin. ARK Invest’s ARKB ETF purchased the most BTC, or $34 million in a week, it said.

Source: Arkham

Following the three trading sessions in April so far, US spot Bitcoin ETFs recorded about $307 million in net inflows, bringing total assets under management (AUM) back above $90 billion.

Related: Strategy adds $330M BTC as paper losses top $14.5B in Q1

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In March, Bitcoin ETFs posted $1.3 billion in inflows, marking the first monthly gain after outflows of $1.61 billion in January and $207 million in February.

Ether ETFs record $120 million in inflows

US spot Ether (ETH) ETFs followed the recovery in sentiment on Monday, recording $120 million in inflows and offsetting $78 million in outflows from the prior two trading sessions.

Ether ETFs posted three consecutive months of losses, bringing total outflows for the period to about $770 million.

Other altcoin ETFs saw muted activity, with XRP (XRP) recording zero inflows on Monday, while Solana (SOL) ETFs posted about $247,000 in inflows.

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Magazine: Your guide to surviving this mini-crypto winter