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Complete guide to automated crypto trading in 2026

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Complete guide to automated crypto trading in 2026

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

A new guide explains how crypto trading bots automate strategies, manage risk, and execute trades across spot and futures markets around the clock.

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Summary

  • This guide explains how crypto trading bots automate strategies, manage risk, and operate across volatile markets 24/7.
  • Learn how grid, DCA, and other crypto trading bots work, plus setup tips, backtesting, and strategy basics.
  • Explore crypto trading bots, popular strategies, and practical guidance for automating trades across crypto markets.

A crypto trading bot can help users automate their trading strategies across volatile markets without staring at charts around the clock. This guide covers everything from grid trading and signal bot management to setup and optimization, so anyone can decide if automated crypto trading fits their plan.

Key takeaways

Modern trading bots automate buy and sell orders on a crypto exchange 24/7, executing trades based on predefined parameters while sleeping, working, or simply stepping away. Automated trading reduces stress and emotional mistakes, letting a strategy run without hesitation. Here are the essentials:

  • Grid bots and DCA bots dominate retail bot trading in 2026, profiting from market volatility by buying low and selling high across multiple levels.
  • Bots support long and short positions on both spot and futures markets, depending on the exchange and configuration.
  • Backtesting and paper trading are non-negotiable before committing real money. Setting up a profitable trading bot requires an understanding of trading strategies and market mechanics.
  • Profitability is never guaranteed. In comparative tests, only 3 of 8 bots produced consistent profit over six months. Success depends entirely on strategy and discipline.

What is a crypto trading bot?

A crypto trading bot is software that automatically executes buy and sell orders on a crypto exchange based on predefined rules or algorithms. Bots connect to exchanges via APIs to manage, buy, and sell cryptocurrencies, acting on real-time price data without manual intervention. Automated trading can operate 24/7 without human intervention across dozens of trading pairs simultaneously.

Common bot types include: grid trading bot, DCA bot, arbitrage bot, market-making bot, and trend-following bot. Each uses different indicators and logic to automate decisions. Since 2017–2018, crypto trading bots have evolved from simple scripts into full platforms with dashboards, mobile apps, cloud hosting, and a growing community of traders sharing custom strategies.

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How crypto trading bots work in practice

A typical workflow looks like this: connect an exchange via api keys, select a strategy, define risk parameters, enable the bot, then track performance over time. Crypto trading bots continuously monitor market data, including price and volume, evaluate conditions against a setup, and submit orders via exchange APIs.

Market analysis involves monitoring price, volume, order books, and technical indicators. Bots use limit orders, market orders, stop-loss, take-profit, and trailing stops to manage positions. They handle position sizing, scaling in, and scaling out for both long and short positions. Advanced bots can use machine learning or statistical models, but most retail bots in 2026 rely on rule-based strategies and backtested parameters. Automated bots can execute trades based on predefined parameters consistently, whether users configure a simple grid or a complex signal-based system.

Popular types of crypto trading bots

Bots differ mainly by strategy logic and how they respond to market volatility. No single bot type is best for making money; performance depends on configuration, risk limits, and market regime.

Grid trading bots

A grid trading bot places a series of buy and sell limit orders at predefined price levels, creating a grid that profits from price oscillations. Grid trading bots buy low and sell high automatically, and a grid bot operates within a predefined price range. Automated trading can profit in sideways markets with grid strategies, where price bounces between support and resistance.

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Visually, the grid looks like horizontal lines between a lower price bound and a higher price bound, with buy orders on lower levels and sell orders on higher levels across multiple levels. Variations include:

  • Neutral Grid bots profit in sideways markets by buying low and selling high
  • Long Grid bots accumulate profits during upward trends by buying dips
  • Short Grid bots automate short-selling in bearish market conditions
  • Infinity Grid bots expand upward without an upper price limit
  • Futures Grid bots operate on derivatives markets using leverage

Grid bots can be configured for bullish or bearish markets. Key parameters include grid range, number of grid levels, order size, base vs quote currency, and safety stops. A short grid bot works best during bearish conditions, while a long grid bot captures upside in trending markets. Users can also run hedge mode to maintain positions in both directions simultaneously.

DCA bots

Dollar-Cost Averaging (DCA) purchases a set amount of cryptocurrency regularly, and DCA bots automate this process by buying more as the price drops. For example, a DCA bot might buy $50 every time the price drops 5%, averaging entry at a lower price across multiple steps.

DCA bots combine with take-profit targets and trailing exits to lock gains once the average entry returns to profit. Be cautious: aggressive DCA without caps can lock all capital into a losing position. Always set a maximum number of safety orders and a fixed allocation.

Signal-based and copy trading bots

A signal bot executes trades automatically when it receives external signals from TradingView signals, custom APIs, or third-party providers. Traders connect indicators from platforms like TradingView to trigger automated orders on their crypto exchange account.

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Copy trading bots mirror trades from a strategy provider onto the user’s balance, making automation accessible to beginners. Always evaluate any new signal source with paper trading first, apply strict risk limits per trade, and verify the provider’s data and track record before committing real money.

Key features to look for in a crypto trading bot platform

Not every platform delivers equal results. Feature set, security, and reliability determine long-term success.

Essential features include support for major exchanges (spot and futures), backtesting, paper trading, robust risk management tools, and a responsive support team. Look for a visual strategy builder, pre-made templates for grid trading and DCA, clear performance analytics, and detailed documentation. Security risks include vulnerabilities in API keys used by bots for trading, which always require encrypted key storage, no withdrawal permissions, 2FA for account access, IP whitelisting, and activity logs. No credit card is required to start on most platforms.

Exchange connectivity and market coverage

A serious platform in 2026 should support multiple top-tier exchanges like Binance, OKX, Bybit, Coinbase, and Kraken for spot and derivatives. Users might notice the OKX logo alongside Binance and Bybit on most bot platforms. Check exchange-specific limits-minimum order size, tick size, and leverage caps-that affect bot configuration. Running the same grid strategy on two exchanges can produce different outcomes due to liquidity and fee differences.

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Backtesting, paper trading, and optimization

Backtesting means running a strategy on historical market data to estimate performance before risking capital. Backtesting strategies on historical data increases trading confidence. Grid trading strategies can be backtested over 15 days or longer to see how they handle both sideways phases and sharp breakouts.

Paper trading simulates live conditions with virtual balances. Optimize by adjusting grid width, number of levels, and take-profit distances. But beware of overfitting-strategies that perform perfectly on past data may fail in future volatile markets.

Risk management for bot trading

Successful bot trading requires strict risk management strategies. Automated trading amplifies both good and bad strategies, so risk controls are non-negotiable.

  • Never invest money that someone cannot afford to lose
  • Diversify across strategies and pairs
  • Cap maximum exposure per bot to 1–3% of total account equity
  • Use stop loss, equity limits, and max daily loss rules

Always start with a small size in live mode, even after successful paper trading, to account for slippage and execution differences.

Specific risks of grid trading bots

Range break risk occurs when price trends strongly beyond the grid range, leaving unclosed positions and large unrealized losses. Grid bots can also tie capital in numerous open orders, reducing flexibility. If grid steps are too narrow, trading fees (0.1–0.2% per cycle) consume most of the profit. Set an emergency stop loss beyond grid boundaries and monitor an account daily.

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Leverage and futures Bots: Long and short positions

Futures grid bots and DCA bots can use leverage to open long and short positions, amplifying both profits and losses. Isolated margin limits risk to a single position; cross margin exposes the entire account. Moderate leverage (2x–5x) suits most automated strategies. A short grid bot on BTC during a rapid short-covering rally can face liquidation. Understand the exchange’s funding fees, liquidation mechanics, and margin requirements before enabling any futures bot.

How to get started with a crypto trading bot in 2026

Start by learning basic crypto trading concepts, then choose a reliable exchange, enable 2FA, and create api keys with trading-only permissions. Select a platform that supports grid trading, DCA bots, paper trading, and clear tools to track performance. Begin with a simple predefined template instead of complex custom strategies on day one.

Step-by-Step Setup Checklist

  1. Create an exchange account, complete KYC, and enable 2FA
  2. Generate API keys-trading permissions only, no withdrawals, restrict by IP
  3. Connect a bot platform and enable paper trading
  4. Select a bot type (e.g., BTC/USDT neutral grid: wide range, 5–10 levels, small order size)
  5. Run simulation for 2–4 weeks, then go live with minimal capital
  6. Monitor logs, open orders, and realized PnL daily in the first week

After several weeks of stable results, gradually scale positions or deploy additional bots. Document every setup, result, and adjustment in a trading journal format to optimize an approach over time. Send a message or alert for any configuration change.

Advanced topics: Strategy design and optimization

Serious traders eventually design or configure their own trading strategies, combining indicators like RSI, moving averages, and Bollinger Bands with grid or DCA logic. Regime detection-distinguishing sideways vs trending markets-helps decide when to switch bots on or off. Multi-timeframe analysis (1-minute entries, 1-hour trend direction) improves robustness, and simple statistical filters like volatility thresholds can boost consistency.

Monitoring, analytics, and troubleshooting

Track metrics beyond profit: win rate, average trade size, maximum drawdown, and profit factor. Set up alerts (email, mobile, Telegram) for key events-bot stopped, API errors, equity drawdown thresholds. Common problems include a bot not trading due to a too-narrow grid, an incorrect position mode (hedge vs one-way), or an invalid symbol mapping. Manage a regular review schedule: daily quick check, weekly deeper analysis, monthly parameter review to keep performance aligned with current market conditions.

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Legal, tax, and ethical considerations

Regulations and tax rules vary by country and change frequently-consult local professionals. Some jurisdictions classify certain automated strategies as investment services requiring licensing. Profits from bot trading are typically taxed like manual crypto gains, but the higher trade volume means heavier record-keeping. Use exportable trade histories from your platform to simplify reporting. Avoid market manipulation tactics and respect exchange terms of service.

FAQ

Is a crypto trading bot profitable for beginners?

Bots do not guarantee profits-they execute a strategy consistently, so a bad strategy will still lose money. Beginners should use simple grid bots or dca bots with low risk settings and focus on learning risk management. Start with paper trading for at least 2–4 weeks, then go live with very small amounts.

How much money do I need to start bot trading?

Some exchanges allow orders as small as $10–$20, but the recommended capital for grid trading is $200 to properly cover multiple grid levels and minimum order sizes. Don’t deploy all capital into a single bot-keep a cash buffer and diversify.

Can I run multiple crypto trading bots at the same time?

Most modern platforms support running many bots simultaneously on different pairs or even the same pair with different strategies. Track total exposure to avoid over-allocating across overlapping bots on correlated assets, and cap active bot allocation at 30–50% of an account.

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What hardware and internet connection do I need?

Cloud-hosted platforms remove most hardware requirements. Self-hosted bots need a stable VPS (1–2 vCPUs, 2–4 GB RAM) with low-latency internet and a system clock synchronized via NTP. Avoid hosting critical bots on unreliable home connections without power backup or remote access.

How do I know if my API keys are safe on a bot platform?

Always disable withdrawal permissions and enable 2FA on both the exchange and bot platform. Choose platforms with encrypted key storage, IP whitelisting, and transparent security documentation. Rotate keys every 3–6 months and revoke immediately if suspicious activity is detected.

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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Bitcoin Price Rebounds as Trump Calls Off Iran Strikes and Hints at a Deal

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Bitcoin’s price is on the move today, prompted by the latest developments on the US-Iran war front, but this time in the opposite direction.

After it slipped to another multi-week low yesterday evening, the cryptocurrency has rebounded by approximately $1,500 and now sits at around $63,500. The reason for this is the major de-escalation announced by the POTUS hours ago.

US President Trump announced on his social media platform, Truth Social, that although his country’s military remains “locked and loaded” to continue attacking Iran, they were asked by the Middle Eastern country and other nations in the region to pause the strikes for now.

He added that those countries are working on a new deal that would include the “immediate, complete and total opening of the Hormuz Strait, and an end to Iran’s nuclear threat.”

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“Based on this request, I have agreed, for the future benefit of the WORLD and, likewise, the survival of a successful and prosperous Iran, to cancel the attack, subject to being able to rapidly make a DEAL. The Country of Israel joins me in this commitment. Get to work, everybody, and get it DONE.”

As mentioned above, BTC reacted immediately with a notable rebound. It had dipped to an 18-day low at $62,200 yesterday evening as the tension between the two had increased once again, with new planned strikes. In addition, there are other factors, such as ETF exodus and technical indicators, that suggested the cryptocurrency could face another leg down soon.

For now, though, the war developments appear to have the most significant impact on bitcoin’s price moves, and essentially every de-escalation brings back hope to the market. The actual impact is likely to be experienced on Monday morning, as it has happened numerous times in the past several weeks.

BTCUSD Aug 2. Source: TradingView
BTCUSD Aug 2. Source: TradingView

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Strategy Posts $8.2B Q2 Loss as Coinbase Revenue Falls 19%

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Leading Bitcoin treasury company Strategy’s results for the second quarter show a loss of over $8 billion, while crypto exchange Coinbase reported a 14% quarterly revenue loss.

According to the two companies’ latest earnings reports released on Thursday, Strategy lost over $8.23 billion in its operations after recording an unrealized loss of $8.32 billion in the second quarter of 2026. The largest crypto exchange by volume in the U.S., Coinbase, also suffered a 19% annual revenue decline, while its trading volumes went down 24% to slightly above $145 billion.

Q2 2026 Bitcoin Price Cooldown Sees Strategy Draw Losses

Strategy grew its BTC holdings by 846 units within the three-month period ending June 30. In its report, the company’s chief executive, Phong Le, said it reduced its convertible debt to just under $7 billion and increased its U.S. dollar holdings and Bitcoin per share by 12% and 5%, respectively. The Bitcoin treasury had seen a $10 billion income in the second quarter of 2025, but Bitcoin’s dull price performance this year has supposedly caused a net loss of $8.22 billion.

“Our objective is for STRC to trade over time at $99 to $100. If STRC trades below $100, we intend to repurchase STRC shares in a regular and disciplined manner, scaling our repurchases according to market price and liquidity. These repurchases are an attractive use of capital that reduces our future preferred dividend requirements at a discount while allowing independent market demand to establish a healthy and sustainable market,” the CEO explained.

In the total revenue column for the quarter, Strategy announced it had a 6.9% increase in the last 12 months, jumping from $114.5 million in Q2 2025 to over $122 million in Q2 2026. The gross profits made by the company’s business reached $81.6 million, which it counted as a 69% gross margin compared to the previous year’s second quarter’s $78.7 million.

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“In the midst of this phase of muted bitcoin sentiment and market skepticism, we continue to evolve our business model and establish Digital Credit as a new asset class. Our plan is to return STRC to health with stable demand, high liquidity, and low volatility trading near par. We believe this is the best way to create shareholder value over the long term,” executive chairman and founder Michael Saylor told reporters.

Coinbase Revenue Drops after Trading Slump, Prediction Market Thrives

Meanwhile, Coinbase’s first half of the year continues to yield lower-than-expected earnings following a continued loss trend in both quarters, but its prediction market sector has risen by more than $100% quarter-over-quarter. The exchange revealed its revenue had taken a 19% hit in the 12 months ending June 30, and its transaction revenue dropped 21%. As seen in the report on net losses, the trading company’s earnings before interest, taxes, depreciation, and amortization reached $208 million, while it recorded over $300 million in losses after adjustments.

Coinbase’s fee collection from subscriptions and services slumped by 5% in the quarter but accounted for almost half of its net revenue in that period. Consumer transactional revenue also fell by 20% compared to Q1 2026, which the company attributed to a 24% decline in crypto spot trading volume. At the end of the quarter, the average amount of USDC held across Coinbase products hit a record high of $20 billion, accounting for more than 30% of all USDC in circulation.

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FTX Case Advances as Polymarket Dispute and $35K Penalty Emerge

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Crypto Breaking News

Federal prosecutors are continuing to litigate the fallout from the collapse of FTX, as defense teams push back on what juries can hear and how certain market activities are regulated. In the Southern District of New York (SDNY), Michelle Bond—whose husband, former FTX executive Ryan Salame, is serving a 90-month sentence after pleading guilty in 2023—has asked the court to block references to that guilty plea in a campaign finance case.

At the same time, other SDNY-related crypto-adjacent legal fights are highlighting how prediction markets and event contracts can collide with insider-trading and commodity regulation arguments. Separate actions involving a former congressman’s Kalshi trades and a US soldier accused of making a large Polymarket bet underscore that courts may soon be forced to clarify both evidentiary rules and the legal classification of event contracts.

Key takeaways

  • Michelle Bond’s legal team asked SDNY to exclude evidence tied to Ryan Salame’s guilty plea, arguing it has little relevance to Bond’s alleged intent or knowledge.
  • In a separate CFTC case, former New York Rep. George Santos was ordered to pay $35,000 over trades on Kalshi’s event contracts, with the regulator citing misleading posts about his planned attendance at the 2026 State of the Union.
  • A US soldier accused of earning more than $400,000 on Polymarket event contracts is seeking dismissal, challenging whether the Commodity Exchange Act can clearly apply to event contracts as “swaps.”
  • Across these matters, the central pressure points are evidentiary fairness for defendants and regulatory clarity for prediction-market participants.

Bond seeks to bar Salame’s guilty plea in campaign finance fight

According to a Friday filing in the US District Court for the Southern District of New York, Michelle Bond’s attorneys asked the court to preclude the government from introducing evidence about Ryan Salame’s guilty plea or any “related plea materials” in her campaign finance case.

Bond faces charges over alleged unlawful campaign funding tied to her unsuccessful 2022 congressional run in New York. The prosecution’s theory, as described in the filing, is that contributions supporting Bond’s campaign were partially funded through FTX arrangements facilitated by Salame.

Salame pleaded guilty in 2023 and is currently serving a 90-month sentence connected to conduct arising from FTX’s 2022 collapse. In Bond’s motion, her lawyers argued that Salame’s plea—where he admitted to making political contributions in Bond’s name funded by transfers from accounts associated with an FTX-linked entity—should not be treated as evidence against Bond herself.

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“The Court should preclude the government from introducing or referring to Mr. Salame’s guilty plea or any related plea materials, because their minimal probative value is substantially outweighed by the risk of unfair prejudice to Ms. Bond,” the filing states.

Bond’s team further said that the plea materials do not meaningfully bear on Bond’s state of mind. They characterized the plea as an admission of Salame’s own guilt, not proof of Bond’s knowledge or participation in the charged conduct, quoting from the motion: “[…] Mr. Salame’s plea materials lack any probative value as to Ms. Bond’s guilt, knowledge, or intent. Mr. Salame’s plea is an admission of his own guilt, not evidence of Ms. Bond’s state of mind or participation in any charged offense.”

How personal litigation could become part of the argument

Bond’s motion also requested that the court allow information connected to her “contemporaneous divorce and custody proceedings.” Her lawyers appear to be positioning that personal context to rebut the government’s characterization of Bond as an “ordinary ‘individual’ donor,” despite her and Salame having divorced before the alleged criminal conduct.

While the filing’s request reflects a broader strategy often used in criminal litigation—attempting to shape how jurors interpret the campaign contributions and the parties’ relationship—the court’s decision will determine what personal-history evidence, if any, is ultimately presented.

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CFTC penalizes George Santos for Kalshi event-contract trading

Separate from the FTX-linked litigation, the US Commodity Futures Trading Commission (CFTC) has issued an order involving George Santos, a former member of the US House of Representatives who was expelled from Congress in 2023. The CFTC ordered Santos to pay $17,500 in a civil monetary penalty plus $17,570 in disgorgement from profits earned through prediction market trading on Kalshi.

According to the CFTC, the relevant trades were tied to event contracts betting on whether Santos would appear at the 2026 State of the Union in Washington, DC. The regulator said Santos posted on social media about his plans to attend or not attend the event, and that these posts contained “material misrepresentations and omissions.”

The CFTC added that after the posts, contract prices moved in a direction favorable to Santos’ positions, enabling him to earn over $17,500.

As part of the CFTC order, Santos is barred from trading on prediction market platforms for three years.

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The case also sits in the shadow of Santos’ criminal proceedings. Earlier coverage notes Santos was sentenced to 87 months in prison in 2025 for wire fraud and aggravated identity theft, though he served only three months before his sentence was commuted by US President Donald Trump, as reflected in the article’s background.

Polymarket insider-trading allegations tested under “swap” debate

A more direct challenge to prediction-market regulation is underway in another SDNY matter. Gannon Ken Van Dyke, a US soldier accused of making more than $400,000 trading Polymarket event contracts, is attempting to dismiss the indictment.

As outlined in the background of the case, prosecutors allege that Van Dyke traded using nonpublic information connected to a military operation involving the removal of Venezuelan President Nicolás Maduro in January. The US Department of Justice alleges he used that alleged insider information to wager on whether Maduro would be removed from power, leading to criminal charges filed in April.

In a Friday SDNY filing, Van Dyke’s attorneys submitted a 51-page memorandum supporting a motion to dismiss. Among other arguments, they contend that the Commodity Exchange Act (CEA) is ambiguous in how it treats event contracts as “swaps,” which is relevant to three of the charges.

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Van Dyke’s lawyers argue that the ambiguity affects basic fairness: if the “swap” definition is not clear across Congress, agencies, and courts, ordinary citizens may lack “fair notice” that their prediction-market wagers fall under the CEA.

“If Congress, executive branch agencies, and courts all find the ‘swap’ definition ambiguous, how can ordinary citizens have fair notice that prediction market wagers are covered by the CEA?” the filing asks.

The defense also contrasts with the position taken by the CFTC under Chair Michael Selig, which has argued it has “exclusive jurisdiction” over prediction markets by treating event contracts as “swaps.” The dismissal motion suggests that—at least for some counts—those jurisdictional assumptions may not survive if the law is too unclear.

Why these cases matter beyond one courtroom

Taken together, the filings point to two urgent fault lines for the crypto-adjacent prediction market space: what evidence courts allow juries to consider when guilt and intent are contested, and whether the regulatory framework—especially the CEA’s treatment of event contracts—offers enough clarity for enforcement.

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As courts weigh motions like Bond’s request to exclude plea materials and Van Dyke’s bid to dismiss based on legal ambiguity, traders, builders, and public officials using event-contract platforms may want to watch how judges define relevance, prejudice, and “fair notice.” The next procedural rulings could signal how far prosecutors can stretch existing statutes—and how tightly defendants can force regulators to justify their classification theories.

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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Crypto Hacks Drain $1.1B in First Half of 2026 Amid 212 Security Incidents

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The first half of 2026 was the most active six months for crypto exploits on record.

This is according to a new report from Blockaid, which shows hackers stole $1.1 billion across 212 incidents.

Crypto Hacks Top $1.1B in H1 2026

The Blockaid report found that four major incidents involving KelpDAO, Drift, Resolv, and CoW Swap made up roughly $707 million of the total losses.

KelpDAO suffered the largest loss, after hackers stole $292 million worth of crypto by faking a cross-chain message that siphoned off the protocol’s Ethereum reserves. Drift Protocol, a perpetuals exchange built on the Solana chain, also suffered a similarly huge hit, as it was exploited for $285 million within 12 minutes.

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Blockaid linked both cases to TraderTraitor, a state-sponsored North Korean subset of the larger Lazarus Group. Humanity Protocol’s $32 million loss was also connected to the same attacker cluster, bringing DPRK-linked losses to $609 million, which is about 55% of all funds stolen during the period.

The pace of attacks also increased through the year, with monthly incidents going from 18 in January to 57 in June. April proved to be the most painful month, as the KelpDAO and Drift Protocol hacks wiped out a combined $577 million to push total losses in that month to $635 million.

Privileged key misuse was the most costly attack type in the first half of 2026, with losses of approximately $790 million, or close to three-quarters of all funds stolen in the period, said Blockaid. Unbacked mint exploits came second in value, led by the $80 million Resolve breach. But the hacks at the code level caused the most casualties, accounting for nearly four out of five attacks by count.

Attack Vectors Change as New Threats Emerge

The report named AI agents as a new target after hackers in May used a prompt injection attack to fool Bankr’s AI agent into approving an unauthorized transaction for about $216,000.

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Cross-chain bridges also took a major hit, with attackers breaching the verification systems of KelpDAO and Taiko through forged proofs and attestations accepted by the destination chains.

In addition, security teams faced newer attack methods in 2026, with Blockaid identifying four incidents involving EIP-7702 wallet delegation attacks, where a wallet can hand control to a smart contract. Legacy smart contracts also continue to be a common vulnerability, with data showing around five cases in May and June, including two involving Aztec Connect and one targeting Raydium’s AMM V3.

Recent incidents outside the report period showed the same pressure on crypto infrastructure. For instance, on July 23, AFX Trade, BSquaredNetwork, and Verus were hit in separate attacks on the same day that collectively caused more than $35 million in losses. Recall that Verus had already suffered another exploit about two months earlier, and Blockaid linked both incidents to the same bridge contract and bug class.

Recovery results varied depending on the type of attack. Per the report, code-related incidents sometimes allowed teams to freeze funds or negotiate returns, while attacks involving stolen keys usually ended with the money moving through mixers or cross-chain routes.

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Michael Saylor and team maintain 12% dividend for STRC

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Strategy signals another bitcoin buy as company needs just 2% annual BTC growth to cover dividends

Holders of Strategy’s (MSTR) high-yielding preferred stock STRC will not see a dividend increase in August.

Led by Executive Chairman Michael Saylor, Strategy is maintaining the current 12% dividend on the shares.

STRC investors may have been expecting as much as a 50-basis-point hike in the dividend as Strategy has customarily raised the payout anytime the stock traded sizably below its par value ($100) for the month.

As recently as July 1, Strategy had lifted the dividend 50 basis points following June’s plunge in STRC to as low as $71.

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While that hike — along with Strategy’s sale of some bitcoin to fund dividends, and a bit of stabilization in the price of bitcoin — helped STRC bounce in July to the current $89.46, that level is still significantly below par.

CEO Phong Le yesterday said Strategy’s Corporate Objective is for STRC to trade at $99-$100 over time.

Nevertheless, the company is under no obligation to raise the dividend and chose not to do so this month.

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Key On-Chain Legal Updates This Week

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Crypto Breaking News

A Friday filing in the U.S. District Court for the Southern District of New York (SDNY) seeks to limit what prosecutors can use in the campaign-finance case involving Michelle Bond, the wife of former FTX Digital Markets co-CEO Ryan Salame.

Bond’s attorneys argued that evidence tied to Salame’s 2023 guilty plea—while relevant to his own conduct—should not be admitted against her because it carries a risk of unfair prejudice and, in their view, offers little direct proof of Bond’s knowledge or intent. The motion also asks the court to factor in details from Bond’s contemporaneous divorce and custody proceedings.

Key takeaways

  • Michelle Bond wants the court to exclude evidence and “related plea materials” tied to Ryan Salame’s guilty plea, arguing they are not probative of her state of mind.
  • Bond’s campaign-finance charges stem from allegations that contributions to her 2022 congressional bid were influenced by FTX-linked activity facilitated by Salame.
  • The SDNY motion also requests inclusion of information about Bond’s divorce and custody proceedings, contending she was not an “ordinary” donor.
  • Separately, the CFTC ordered former congressman George Santos to pay $35,000 in total—$17,500 in penalty and $17,570 in disgorgement—over trades connected to Kalshi prediction market event contracts.
  • A soldier accused of making more than $400,000 on Polymarket event contracts linked to a military operation asked the SDNY court to dismiss charges, citing ambiguity in how “swap” definitions apply to event contracts under the Commodity Exchange Act.

Bond asks SDNY to keep Salame’s guilty plea out of her case

Bond faces campaign finance charges tied to her unsuccessful 2022 congressional run in New York. According to the criminal allegations, contributions to her campaign were partly funded through FTX-related channels that were facilitated by her husband, Ryan Salame.

In the latest SDNY filing, Bond’s legal team asked the court to preclude prosecutors from introducing Salame’s guilty plea and related plea materials. The filing points to the core logic of the request: Bond is not being tried for Salame’s admissions, and the defense claims the government’s use of those materials would not meaningfully establish Bond’s guilt, knowledge, or intent.

Bond’s attorneys argued that Salame’s plea is an admission of his own conduct, not evidence about Bond’s mental state or participation in the charged offense. They said the materials’ probative value is substantially outweighed by the risk of unfair prejudice to Bond.

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Prosecutors are expected to weigh heavily on the narrative connecting alleged campaign funding to the conduct of individuals tied to FTX’s collapse. Bond’s motion, however, signals an effort to narrow what jurors are allowed to consider—particularly evidence that may influence them emotionally or circumstantially rather than strictly proving the elements of the charges against her.

Why the defense is raising divorce and custody proceedings

Alongside the evidentiary dispute over Salame’s plea, Bond’s filing also requested that the court include information related to Bond’s divorce and custody proceedings that were underway around the same time as the alleged crime.

Bond’s lawyers’ position is that the circumstances of her family life affect how her campaign-related donor status should be viewed. The filing argues that Bond should not be treated as an ordinary individual donor solely because she is facing personal charges in connection with her political bid, even if she and Salame were not married at the time of the alleged conduct.

Whether and to what extent these family-law details will be admissible is likely to be a key procedural issue. It can shape the tone and framing of the case—especially if the government seeks to portray the campaign finances as closely connected to Salame’s network rather than to Bond’s independent circumstances.

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George Santos ordered to pay over Kalshi predictions market trading

In a separate development involving prediction markets, the U.S. Commodity Futures Trading Commission (CFTC) ordered former New York representative George Santos—who was expelled from Congress in 2023—to pay a total of $35,000. The figure breaks down into a $17,500 civil monetary penalty and $17,570 in disgorgement of profits.

The regulator said the action was tied to Santos trading on event contracts on Kalshi connected to whether he would attend the 2026 State of the Union address in Washington, DC. The CFTC stated that Santos made social media posts about his plans to attend or not attend the event and that those posts contained “material misrepresentations and omissions.”

According to the CFTC, after the posts, the contract prices moved in a way that became favorable to Santos’ positions and allowed him to make more than $17,500.

As part of the same order, Santos was barred from trading on prediction market platforms for three years. The order also comes against the backdrop of criminal proceedings: Santos was sentenced to 87 months in prison for wire fraud and aggravated identity theft in 2025, but served only three months before his sentence was commuted by U.S. President Donald Trump, as noted in earlier reporting.

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Polymarket insider-trading allegations head toward dismissal arguments

Another SDNY filing, this time from the defense of Gannon Ken Van Dyke, challenges the legal foundation of allegations that he profited from Polymarket event contracts using nonpublic information.

The U.S. Justice Department says Van Dyke was involved in a military operation connected to the removal of Venezuelan President Nicolás Maduro in January, and prosecutors allege he later used insider information to bet whether Maduro would be removed from power—leading to criminal charges announced in April. The defense filing argues Van Dyke is facing accusations involving more than $400,000 in alleged profits from Polymarket event contracts.

Van Dyke’s attorneys filed a 51-page memo supporting a motion to dismiss the indictment based on multiple legal theories. One focus is the Commodity Exchange Act’s treatment of event contracts as “swaps,” which the defense characterizes as ambiguous.

While the CFTC under Chair Michael Selig has asserted that the agency has “exclusive jurisdiction” over prediction markets by treating event contracts as “swaps,” Van Dyke’s lawyers say the uncertainty itself is enough to dismiss at least some charges. In the filing, they argue that if lawmakers, executive agencies, and courts consider the “swap” definition ambiguous, then ordinary citizens cannot reasonably have fair notice that prediction market wagers fall under the CEA.

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The case is expected to proceed on a timeline that could lead to trial in late 2026 or early 2027, based on a schedule submitted in June, and Van Dyke has pleaded not guilty to all charges.

The defense’s arguments also extend beyond Van Dyke’s personal exposure. The filing suggests the ruling could matter for lawmakers and government officials who have used prediction markets in connection with political events or public statements. Earlier coverage referenced by the filing indicates that Trump’s teleprompter operator reportedly placed more than $100,000 in bets on Kalshi event contracts tied to presidential speeches, underscoring how prediction markets can draw interest from political circles.

Across these cases, courts are being asked to decide what evidence is fair game, what definitions govern crypto-adjacent instruments, and how much clarity regulators must provide before individuals can be held criminally liable—issues that could determine how future crypto and prediction-market enforcement plays out.

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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What Happened In Crypto Legal News This Week

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What Happened In Crypto Legal News This Week

Wife of former FTX executive seeks to preclude her husband’s guilty plea

In a Friday filing with the US District Court for the Southern District of New York (SDNY) over campaign finance charges, Michelle Bond’s legal team asked the court to consider precluding evidence related to former FTX Digital Markets co-CEO Ryan Salame, her husband who is currently serving a 90-month sentence after he pleaded guilty in 2023.

Bond faces campaign finance charges alleging that her unsuccessful 2022 congressional run in New York was partially funded by contributions from FTX facilitated by Salame. As part of the filings this week, Bond asked the court to exclude evidence of her husband’s guilty plea and “related plea materials,” in which the former executive admitted to making “political contributions in [his] name that were funded by transfers from the bank accounts” of an entity tied to FTX. 

“The Court should preclude the government from introducing or referring to Mr. Salame’s guilty plea or any related plea materials, because their minimal probative value is substantially outweighed by the risk of unfair prejudice to Ms. Bond,” said the filing.

Bond’s lawyers added:

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“[…] Mr. Salame’s plea materials lack any probative value as to Ms. Bond’s guilt, knowledge, or intent. Mr. Salame’s plea is an admission of his own guilt, not evidence of Ms. Bond’s state of mind or participation in any charged offense.” 

The motion also requested the court include information related to Bond’s “contemporaneous divorce and custody proceedings,” arguing that though she and Salame were not married at the time of the alleged crime, the former FTX executive was not an “ordinary ‘individual’ donor” contributing to her campaign.

Related: US Senate unanimously adopts resolution opposing clemency for SBF

The criminal case is one of the latest involving individuals tied to the defunct crypto exchange following its 2022 collapse. Salame, former FTX CEO Sam Bankman-Fried and former Alameda Research CEO Caroline Ellison were all sentenced to prison for their role in the misuse of customer funds and related charges.

Former congressman ordered to pay $35,000 over Kalshi bet

George Santos, a former New York House representative who was expelled from Congress in 2023, was ordered to pay a $17,500 civil monetary penalty and $17,570 in disgorgement from profits earned over bets placed on prediction markets platform Kalshi. The order from the US Commodity Futures Trading Commission (CFTC) stemmed from Santos trading on event contracts betting on his appearance at the 2026 State of the Union address in Washington, DC. 

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“While buying and selling positions in this market, Santos posted on social media about his plans to attend or not attend the SOTU,” said the CFTC. “In his social media posts, Santos made a series of material misrepresentations and omissions about whether he would attend the SOTU. After these posts, the SOTU contract prices moved in a direction that was favorable to Santos’ positions which allowed him to make over $17,500.”

February X post about his State of the Union attendance. Source: George Santos

Santos is barred from trading on prediction market platforms for three years as part of the order. He was also previously sentenced to 87 months in prison for wire fraud and aggravated identity theft in 2025, but served only three months before his sentence was commuted by US President Donald Trump.

US solider accused of making $400,000 Polymarket bet seeks to dismiss charges

Gannon Ken Van Dyke is a US soldier who faces charges for allegedly making more than $400,000 on Polymarket event contracts using nonpublic information tied to a military operation involving the removal of Venezuelan President Nicolás Maduro in January. He was involved in the operation removing Maduro, according to the US Justice Department, and allegedly used insider information to bet whether the Venezuelan president would be removed from power, leading to criminal charges in April.

In a Friday SDNY filing, Van Dyke’s legal team filed a 51-page memo in support of a motion to dismiss the indictment based on different legal theories, including that the Commodity Exchange Act (CEA) at the center of three of the charges was “ambiguous” in treating event contracts as “swaps.”

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Although the CFTC under Chair Michael Selig has claimed that the agency has “exclusive jurisdiction” over prediction markets on the basis that event contracts are treated as “swaps,” Van Dyke’s lawyers said the lack of clarity was sufficient to dismiss some of the charges.

“If Congress, executive branch agencies, and courts all find the ‘swap’ definition ambiguous, how can ordinary citizens have fair notice that prediction market wagers are covered by the CEA?” said the filing. “They cannot.”

The case is expected to have significant implications for lawmakers and government officials using prediction markets. Trump’s teleprompter operator reportedly made more than $100,000 using Kalshi event contracts related to the president’s speeches.

Based on a schedule filed in June, Van Dyke is potentially looking at a trial beginning in late 2026 or early 2027. He has pleaded not guilty to all charges.

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Magazine: Here’s why the CLARITY Act’s ethics deal may be so hard to reach

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Goldman traders are on pace for a record year. A close-up look at how they’re doing it

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Goldman traders are on pace for a record year. A close-up look at how they're doing it

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Bitcoin cold-wallet attack spreads to 4,500 addresses as losses near $89 million

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Russia-linked Grinex exchange halts operations after $13 million ‘state-backed’ hack

The attacker working through Coldcard-generated keys is now emptying wallets worth a few thousand dollars each.

Galaxy Research flagged a third wave of sweeps early Sunday, roughly 208 bitcoin drained from 1,912 addresses between Friday midday and Saturday morning UTC.

That is just over a tenth of a bitcoin per victim. The July 30 opening wave averaged close to a full coin, 1,083 bitcoin from 1,196 addresses in 41 minutes.

Observed losses across all three waves now total 1,367 bitcoin, nearly $89 million, from 4,585 addresses.

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Wave three sends each victim’s coins to its own destination rather than the handful of shared collector addresses that made the first two easy to map, and parks them in pay-to-witness-script-hash outputs, a format that can carry multisignature or timelock conditions, instead of the plain single-key outputs used before.

It batched an average of six victims into each sweep where wave one took exactly one at a time, and it scanned only the default derivation path, the standard branch of the key tree a wallet checks first, instead of testing several branches per seed.

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XRP Price Dips to ‘Battlefield’ Zone, but Analysts See Major Reversal Opportunity

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Perhaps due to the quickly re-escalating tension in the Middle East, the cryptocurrency market has posted fresh losses over the past few hours, with BTC dropping to $62,000 after failing to reclaim the $63,000 support during the day.

XRP was not spared, as it just slipped below $1.05. The asset was rejected at $1.20 during the mid-July rally after the favorable US inflation data for June, and eventually lost the coveted $1.10 support. Now, it fights for the last line of defense before the bulls would have to defend the $1.00 zone.

Popular analyst EGRAG CRYPTO outlined the significance of the $1.05 level, calling it the ‘battlefield’ region. Although he noted earlier today that the cross-border token had managed to maintain that level, he acknowledged the predominantly bearish structure of lower highs on the 4-hour chart.

The short-term path of recovery would be a successful defense of $1.05 before XRP can bounce above $1.083 and eventually reclaim the $1.10 level, which now acts as resistance.

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EGRAG laid out an even more promising road ahead for the asset if it manages to continue its recovery, with the “major price target” set at $1.30.

However, a decisive breakdown below $1.05 would essentially mean that XRP will head toward the notable liquidity zone at around $1.00, he warned.

Mikybull Crypto also believes XRP has the strength to stage a surprising comeback. The analyst claimed that the asset’s bullish reversal run is currently loading despite the negative outlook.

His long-term chart compares the current market structure with the one from two years ago when XRP was highly compressed at around $0.60. Once it broke out the upper boundary, though, it rocketed to a fresh all-time high within less than a year.

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“Before the last run, I screamed for you to buy at a crazy discount. The opportunity is presenting again,” he said now.

History is not on XRP’s side at the moment, though, as August has been quite a painful month for the asset. As reported earlier today, the cross-border token was deep in the red in all four previous editions.

The post XRP Price Dips to ‘Battlefield’ Zone, but Analysts See Major Reversal Opportunity appeared first on CryptoPotato.

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