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TRM Labs On-chain Evidence Key to Convicting 3 Terrorism Financiers

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Crypto Breaking News

Indonesia’s courts are increasingly accepting on-chain evidence as a legitimate basis for terrorism-financing prosecutions, marking a notable shift in how blockchain data is treated in legal proceedings. In cases resolved in 2024 and 2025, authorities relied on wallet addresses, transaction histories, and on-chain flows to build the narrative of illicit funding, a development highlighted by TRM Labs as a sign that crypto traces are becoming a cornerstone of prosecutorial work.

“Indonesian courts have demonstrated that cryptocurrency evidence — wallet addresses, transaction histories, on-chain flows — is not only admissible but can anchor a terrorism financing prosecution,” said TRM Labs in a statement. The firm adds that these cases reflect a broader trend in which regulators and law-enforcement agencies are nearing parity with traditional financial channels when pursuing illicit financing.

TRM noted that terrorism-financing networks have increasingly used cryptocurrency as a movement mechanism, partially because authorities have historically scrutinized fiat channels more intensively. However, the framework is evolving, with courts and investigators reportedly closing the gap between digital traces and real-world consequences.

In Indonesia, one defendant allegedly sent more than $49,000 in USDt across 15 transactions from a domestic exchange to a foreign platform, with funds later routed to an ISIS-linked fundraising campaign in Syria, according to blockchain analytics cited by TRM Labs. The tracing work was conducted by Indonesia’s financial intelligence unit and the counterterrorism police unit, Densus 88, who presented the findings to the courts. The blockchain data was deemed a pivotal piece of evidence in each of the three cases.

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TRM Labs emphasized that the Indonesian case underscores a broader Southeast Asian push to harness blockchain intelligence in criminal investigations, as authorities increasingly view crypto-forensics as a critical enforcement tool.

“Similar patterns are emerging across Southeast Asia, where governments are investing in blockchain intelligence capabilities and enhancing collaboration between public and private sectors to address illicit finance risks.”

Beyond Indonesia, regional authorities are building capacity to trace cryptocurrency flows. TRM noted that Singapore and Malaysia’s financial-intelligence units and law-enforcement agencies are expanding technical capabilities to follow crypto activity across borders, reflecting a growing regional emphasis on digital-forensics as part of anti-financial-crime strategies.

These developments sit against a broader backdrop of regional enforcement and cases that illustrate the expanding role of crypto-tracing tools in Southeast Asia. In April, Cambodian and Chinese authorities extradited Li Xiong, a leader of the Huione Group, to China to face fraud and money-laundering charges connected to the organization’s scam operations. The move followed the earlier arrest of Chen Zhi, the head of Prince Group, which operates the Huione network. Separately, TRM’s data from 2025 showed a surge in illicit stablecoin activity, with about $141 billion worth of stablecoins flowing to illicit entities, marking a five-year high in this space.

Key takeaways

  • Indonesian courts are increasingly accepting on-chain data — including wallet addresses and transaction histories — as admissible and pivotal evidence in terrorism-financing prosecutions.
  • A concrete case linked more than $49,000 in USDt moved across 15 transactions from a local exchange to a foreign platform, with funds ultimately directed to ISIS-linked fundraising in Syria.
  • Regional significance is growing: Southeast Asian authorities are expanding blockchain-forensics capabilities and fostering cross-sector collaboration to tackle illicit crypto activity.
  • TRM data points to a broader scale of illicit crypto use in 2025, including a substantial surge in illicit stablecoin activity, underscoring why forensics capacity matters for regulators and law enforcement.

Courts and crypto traces: what changed in Indonesia

Central to the Indonesian cases was the application of blockchain analytics by the country’s financial intelligence unit in tandem with Densus 88, the national counterterrorism police unit. By correlating on-chain activity with exchange flows and cross-border transfers, investigators constructed a continuous chain of custody from a domestic source to an international donor and ultimately to a fundraising operation tied to ISIS. The courts’ acceptance of these traces signals a shift in evidentiary standards, aligning digital footprints with traditional investigative records.

TRM’s analysis frames this development as part of a wider trend in which prosecutors are learning to treat crypto evidence not as an adjunct but as a core element of financial-crime cases. The implications for investors and operators are nuanced: while the cases demonstrate that crypto-era enforcement is moving toward greater scrutiny, they also underscore the increasing value of transparent, auditable on-chain activity as a legal tool.

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Regional momentum and what it means for the market

The Indonesian trajectory is occurring amid a regional mobilization to fortify crypto-forensics. Southeast Asia is seeing a push to scale capabilities that can trace crypto flows across borders, with Singapore and Malaysia cited as examples of jurisdictions expanding their analytical arsenals and public-private collaboration. For market participants, the trend translates into a more predictable regulatory environment around digital-asset tracing, even as enforcement remains vigilant against abuse.

From an investor perspective, the trend raises several practical considerations. First, the integrity of on-chain evidence can influence case outcomes, potentially elevating the risk-reward calculus for illicit actors and increasing the likelihood of sanctions or asset seizures in connected networks. Second, as authorities invest in blockchain intelligence tools, exchanges and custodians may be called upon to provide faster or more granular data, which could affect due-diligence timelines and compliance costs. Third, the regional emphasis on cross-border cooperation could help standardize some investigative approaches, reducing ambiguity for global firms operating in multiple markets.

Broader enforcement context and ongoing developments

The Southeast Asian enforcement narrative extends beyond Indonesia. In a related development, Li Xiong, a leader of the Huione Group, was captured in Cambodia and China and extradited to China to face fraud and money-laundering charges tied to scam operations. This came three months after the arrest of Chen Zhi, head of the Prince Group, which operates Huione. In parallel, TRM reported that illicit stablecoins activity reached about $141 billion in 2025, signaling a five-year high and reinforcing the importance of robust tracing capabilities for regulators and financial institutions alike.

Taken together, these pieces illustrate a broader pattern: as crypto tracing tools mature and cross-border cooperation intensifies, authorities appear increasingly confident in leveraging on-chain data to pursue financial crime, including terrorism financing. For market participants, that means continuing attention to compliance, transparent corporate disclosures, and readiness to respond to regulatory expectations around crypto-asset flows.

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Readers should monitor ongoing capacity-building efforts among Southeast Asian FIUs and law-enforcement agencies, as well as any new court rulings that further define the role of on-chain evidence in criminal cases. The evolving landscape will shape both risk and opportunity for exchanges, wallets, and institutional actors operating in the region.

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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Ethereum price forms double top as market reacts to Iran tensions, will it crash?

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Ethereum price has formed a double top pattern on the 4-hour chart.

Ethereum price retraced some of its gains from Monday after U.S. President Donald Trump brushed off an Iranian proposal to end the war and warned that strikes would target key infrastructure if Tehran fails to reopen the Strait of Hormuz by the deadline.

Summary

  • Ethereum price fell 3.4% below $2,100 as Trump rejected Iran’s proposal and warned of strikes if the Strait of Hormuz is not reopened.
  • Risk sentiment weakened across crypto and equities, with Asian markets flat to lower and investors pulling capital amid geopolitical uncertainty.
  • A confirmed breakdown below $2,000 could trigger a double top pattern and liquidations of up to $1.41B in long positions.

According to data from crypto.news, Ethereum (ETH) price fell 3.4% below the $2,100 support after reports emerged that Trump will not call off the strikes at Iranian infrastructure unless Tehran commits to reopening the Strait of Hormuz, a key maritime corridor that handles 20% of all the global oil trade. This came after the U.S. President dismissed a proposal from the Iranian leadership to end the war while keeping the Strait closed.

Fears of a very aggressive strike on Iran are likely causing investors to withdraw capital as they await the conclusion of this geopolitical standoff. Investors are withdrawing from both crypto and traditionally safe-haven assets such as gold and silver, a sign of broader derisking across global markets as uncertainty intensifies.

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Asian tech stocks such as Japan’s Nikkei 225, Hong Kong’s Hang Seng, and the Shanghai Composite all remained either still or dropped as uncertainty weighed on the region.

Besides these factors lowering risk sentiment, retail investors are also likely panicking as they potentially face liquidation of $1.41 billion worth of long positions being erased from the market should Ethereum price slide further down to $2,040.

On the daily chart, Ethereum price has been forming a double top pattern on the 4-hour chart. Double top patterns are some of the most common bearish signals in technical analysis. The neckline of the pattern lies at around $2,017.

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Ethereum price has formed a double top pattern on the 4-hour chart.
Ethereum price has formed a double top pattern on the 4-hour chart — April 7 | Source: crypto.news

If Ethereum price falls below the $2,000 support, it would confirm the double top pattern and will continue to drop lower to under $1,900 as calculated by subtracting the height of the double tops formed from the point at which the neckline stands.

Technical indicators show that bears are starting to take control. Notably, the Aroon Up and Down lines have pointed sharply downwards, suggesting a strong downtrend. The MACD lines are close to forming a bearish crossover, a sign that selling pressure is mounting.

For now, the immediate support level that decides the trend lies at $2,000. Failure to hold this level would confirm both the double top pattern and the long liquidation cascade.

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

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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