Coinbase has begun integrating DEX trading directly into its app via Base, expanding user access to millions of tokens compared to the current 300 listed assets, according to an Aug. 8 announcement.

The feature allows select US customers, excluding those in New York State, to trade newly created Base-native assets within moments of their launch using Coinbase’s existing interface.

The integration marks a significant shift for the exchange, merging the speed and breadth of decentralized finance (DeFi) markets with the usability of a centralized trading platform.

According to DefiLlama data, Base registered the fourth-largest spot monthly volume in July, surpassing $41 billion.

At launch, users can discover and trade tokens from projects such as Virtuals, SoSo Value Indices, Auki Labs, and Super Champs. 

Trades are routed through leading protocols like Aerodrome and Uniswap, with aggregators scanning available liquidity to secure the best pricing. 

Coinbase’s system abstracts away many of the complexities of decentralized trading by including a built-in self-custody wallet, sponsoring all network fees, and allowing customers to fund transactions from their Coinbase balance or USDC.

Furthermore, the company is rolling out DEX asset support in batches to ensure performance and reliability, with plans to index more Base assets daily and to expand to other networks such as Solana shortly. 

It is also preparing to extend DEX access beyond the US. Coinbase emphasized that while it does not list or review DEX assets, it will block tokens flagged as malicious or fraudulent by trusted third-party vendors and will surface on-chain data to give traders more transparency.

Coinbase says issuers who launch on Base, even without a centralized exchange listing, can reach millions of traders through the DEX interface within about an hour of their token being indexed.

Jesse Pollak, creator of the Base network, said the move “puts Base builders on a level playing field.”

He added:

“Base is for everyone, but because of the antiquated listings process, that didn’t always feel true. Now it is, and it’s up to builders to earn the attention with hard work. Onwards!”

By embedding DEX functionality into its consumer app, Coinbase is increasing asset accessibility and signaling a more profound commitment to supporting the fast-growing on-chain economy.

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The NFT market saw a remarkable resurgence in July, outpacing DeFi in terms of user activity, according to an Aug. 7 DappRadar report.

The shift marks a significant milestone and could indicate that NFTs are once again capturing the public’s attention following significant lull that has lasted since their fall in the 2022 bear market.

NFTs volume surge in July

DappRadar data showed that NFT trading volume surged by 96%, reaching $530 million in July. However, the total number of transactions fell by 4%, with only 5 million NFTs changing hands during the month.

The trend reveals a clear shift in buyer behavior, with fewer NFTs changing hands but selling for significantly higher prices. In fact, the average NFT sale price more than doubled, rising from $52 in June to $105 in July.

Platforms catering to power users and creators saw the most growth during the period. Blur accounted for as much as 80% of Ethereum-based NFT trading volume, driven by professional traders and its Blend lending feature.

Meanwhile, OpenSea, the largest NFT marketplace, remained the most active in daily user count, with approximately 27,000 traders, thanks to its long-tail listings and multichain support.

Meanwhile, Zora, a platform built for creators on the Coinbase-backed Base network, gained momentum with its Layer 2 solution and native ZORA token, which reduced NFT minting costs.

DappRadar concluded that these numbers show the significant evolution within the NFT landscape from the early market hype to the increasing utility of these digital assets.

According to the blockchain firm, the space is no longer limited to art and digital collectibles. Instead, it has expanded into practical use cases such as digital identity, event ticketing, gaming, and real-world asset tokenization.

DeFi grows too

While NFTs made waves in July, DeFi also continued to experience impressive growth. DappRadar reported that the total value of assets locked (TVL) in DeFi surged by over 30%, reaching $259 billion by the end of the month.

Notably, the sector reached a new all-time high of $270 billion on July 28, driven by growing user demand and fresh liquidity injection across lending, trading, and tokenized assets.

Meanwhile, a standout trend in DeFi came from tokenized stocks, with wallet interactions increasing from approximately 1,600 to over 90,000. This surge contributed to a 220% increase in the market cap of tokenized stocks, signaling that real-world assets (RWAs) are gaining substantial traction.

Across assets, Ethereum continued to lead DeFi, commanding $166 billion in TVL, far surpassing Solana’s $23 billion.

ETH’s significant rise can be attributed to a nearly 60% price surge in July, likely driven by positive regulatory developments, alongside staking rewards reaching 29.4% APY.

On Solana, Hyperliquid emerged as a key player, accounting for 35% of blockchain revenue in July. The platform saw rising demand for derivatives and now processes over 60% of 24-hour perpetual trading volume, with $15.3 billion in open interest and $5.1 billion in USDC bridging.

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In today’s crypto ecosystem, milliseconds matter. The explosive growth of digital assets and the ever-increasing number of trading platforms have turned fast execution into a potent competitive advantage. Whether you’re an institutional trader, an ambitious developer, or a passionate retail participant, understanding how to build a high-speed crypto sniper bot can mean the difference between market triumph and just missing out.

This comprehensive guide explores the nuances of creating a lightning-fast crypto sniper bot — from fundamentals and architecture to sophisticated strategies, deployment, and risk management. Drawing on insights from the realm of Cryptocurrency Exchange Development Services, this blog will empower you with the knowledge to get started, refine your craft, and position yourself for operational success.

Every second — sometimes every millisecond — can dramatically shift your profit margin. Price slippage, network congestion, and smart contract delays mean that “being first” isn’t just a catchphrase; it’s an execution imperative.

To turn a sniper bot concept into reality, it’s essential to leverage robust APIs offered by digital asset platforms. Many professional developers and institutions work with Cryptocurrency Exchange Development Services to ensure seamless and scalable integration. These services bridge the gap between your trading logic and the real-world exchange infrastructure, handling everything from secure authentication to real-time price feeds.

Before diving into code, let’s examine the critical components that distinguish a sniper bot:

• Market Data Listener: Continuously listens for price, liquidity, and trade updates.
• Trigger Engine: Reacts to specific market conditions (e.g., new listing, price movement).
• Order Executor: Sends buy/sell orders with minimal delay.
• Risk Module: Controls order sizes, stop-losses, and take-profits to minimize losses.
• Monitoring Dashboard: Visualizes activity and alerts you to anomalies or opportunities.

Successful crypto bot development relies on a blend of technology and infrastructure:

• Programming Language: Python, Node.js, or Go are common choices for low-latency code.
• Web3 Libraries: For interacting with decentralized exchanges (DEX), libraries such as web3.py or ethers.js are imperative.
• API Wrappers: Ccxt for centralized exchanges, custom SDKs for specific platforms.
• Automated Testing Tools: pytest, unittest, or custom simulation suites.
• Servers: VPS or dedicated servers close to exchange nodes for reduced latency.

Step 1: Local Environment

• Install Python (3.8+), Node.js (if required).
• Use virtual environments for dependency management.
• Install essential libraries (pip install ccxt web3).

Step 2: Sandbox Accounts

• Register demo accounts on centralized and decentralized exchanges.
• Obtain API keys and configure environment variables securely.

APIs are the lifeline of any trading bot. Understanding REST, WebSocket, and RPC endpoints is critical:

• REST APIs: Suitable for account management and non-realtime transactions.
• WebSocket APIs: Enable real-time data streaming and ultra-fast order placement.
• Private vs. Public Endpoints: Authenticate securely; use encrypted channels.

A sniper bot is only as good as the strategy that drives it. Popular sniper strategies include:

• Token Launch Snipe: Monitor new listings and snipe in the first transaction block.
• Liquidity Pool Snipe: Detect major liquidity injections to enter at optimal prices.
• Flash Arbitrage: Identify and exploit price discrepancies across venues within seconds.

Define clear entry and exit rules, backtest thoroughly, and prioritize capital preservation.

Below is a simplified illustration in Python (expandable upon request):

• Colocate servers: Host infrastructure in the same region/data center as the exchange.
• Optimize networking: Use WebSockets, persistent HTTP connections, and minimal dependencies.
• Code efficiency: Profile for bottlenecks; remove extraneous loops and unnecessary checks.

No strategy should go live without thorough backtesting:

• Obtain historical tick-level data.
• Simulate past scenarios, adjusting for slippage and exchange latency.
• Analyze win-rate, drawdown, and max exposure.

Sniper bots inherently walk the line between sharp trading and regulatory scrutiny. Be aware:

• Front-running: Illegal in many jurisdictions; always respect exchange rules.
• Arbitrage: Monitor fees, latency, and withdrawal/deposit times.
• Market Impact: Large orders may move the market against you.

Building is half the battle — maintaining operational resilience is the rest:

• Implement logging, error tracking, and automated restart scripts.
• Use dashboards (Grafana, Kibana) for real-time insights.
• Regularly patch dependencies and rotate secrets.

• Incorporate predictive analytics using machine learning for price prediction.
• Reinforcement learning agents can dynamically adjust snipe strategies in volatile conditions.
• Use anomaly detection to flag unexpected market moves or bot errors.

• Never hardcode API keys; use encrypted vaults or environment variables.
• Rate-limit API calls to avoid bans and detection.
• Periodically review code for vulnerabilities, especially with open-source dependencies.

• Ensure compliance with exchange terms of service and regional regulations.
• Stay updated on changing KYC/AML laws.
• Never deploy bots that could disrupt fair market operations or violate ethical trading practices.

• Use Docker for containerization, enabling rapid scaling and easy maintenance.
• Set up CI/CD pipelines for robust testing and smooth deployment.
• Monitor performance continuously and be ready to pause during high-volatility events or outages.

• Scale horizontally with multiple servers for redundant execution.
• Implement distributed event queues for large volume handling.
• Profile system resource consumption and upgrade infrastructure accordingly.

• Ignoring test environments or deploying untested code.
• Overleveraging or risking more capital than you can afford to lose.
• Disregarding security — one compromised key could mean total loss.

Anecdotes from the field:

• Success Story: A developer built a sniper bot for DeFi launches, netting consistent profits by acting within the first few blocks after new tokens went live — carefully adhering to best practices and running continuous safety checks.
• Cautionary Tale: An inexperienced team neglected proper error handling, causing repeated account lockouts and loss of trading privileges during high-traffic events. Learn from mistakes — robust bot management is mission-critical.

Building a high-speed crypto sniper bot requires a comprehensive approach — blending technical mastery, strategic insight, vigilance, and respect for evolving market rules. With a focus on modular design, robust infrastructure, security, and ethical integrity, you’re well-positioned to compete in the fast lane of crypto trading.

Partner with codezeros for bespoke crypto development and unlock the next level of automated trading. Whether you’re seeking Cryptocurrency Exchange Development Services, smart contract audits, or end-to-end crypto bot development, our experts deliver tailored solutions for your business growth. Contact us today to start building your edge!

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The dip from peak levels, approximately a 4.1% decline, has not dampened broader investor sentiment, with several on-chain indicators suggesting renewed buying interest and reduced selling pressure.

Bitcoin Whale Withdrawals Decline, While Stablecoins Flow In

In a recent analysis posted to CryptoQuant’s QuickTake platform, analyst Amr Taha shared insights pointing to a strategic change in behavior among key Bitcoin holders and investors.

The report, titled “Stablecoin Flood and Whale Retreat: Binance Moves Foreshadow Risk-On Sentiment”, outlined significant trends in whale activity and stablecoin flows that may support continued bullish momentum in the near term.

Taha’s research highlighted a steep reduction in whale-level Bitcoin deposits on Binance. Over the past 30 days, these deposits have dropped from $6.75 billion to $4.5 billion, a $2.25 billion decline.

Historically, large deposits from whales to centralized exchanges often signal an intention to sell, so the recent drop may imply a reduction in immediate sell-side pressure. This could stabilize Bitcoin’s price in the short term, especially if whales continue to hold or move assets to cold storage instead of preparing them for sale.

At the same time, stablecoin flows have increased dramatically across major exchanges. On July 16, Binance and HTX saw combined stablecoin inflows exceeding $1.7 billion.

Taha interpreted this as an indication that large entities, possibly institutions or whales, are preparing to accumulate digital assets. Large stablecoin deposits often precede significant buying activity, suggesting that the market could be gearing up for another leg higher, particularly if paired with reduced sell-side movements.

Macroeconomic Developments and Miner Sentiment Add Context

This on-chain activity is unfolding amid broader economic and political developments. Taha’s report also pointed to speculation around President Donald Trump’s comments during a private meeting, in which he reportedly considered replacing Federal Reserve Chair Jerome Powell.

Though later denied, the remark sparked reactions in traditional markets, including a weaker dollar and rising bond yields. These shifts signaled a rotation into risk assets, potentially benefiting crypto markets as investors reallocate capital in anticipation of a more accommodative monetary stance.

Separately, CryptoQuant analyst Arab Chain analyzed Bitcoin’s miner profitability using the Puell Multiple indicator. The data shows that while miners are currently making solid profits, the level has not reached historical peaks seen during prior market tops.

In the 2017 and 2021 cycles, extreme miner profitability (indicated by Puell readings exceeding 2.0–3.0) often preceded sharp price corrections. At current levels, Arab Chain believes the market is not in a euphoric state, reducing the likelihood of imminent volatility due to miner-driven selloffs.

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Financial services titan JPMorgan Chase is suddenly turning bearish on the stocks of popular tech and restaurant companies as the S&P 500 hits record highs.

JPMorgan analysts say several big-named stocks appear overvalued and may be smart shorting plays for investors, reports Barron’s.

JPMorgan analyst Ryan Brinkman says Tesla (TSLA) currently has a “sky-high valuation” and expects earnings to plummet after President Trump reduced government subsidies for electric vehicle (EV) purchases. Brinkman also predicts that Tesla’s robo-taxi initiative is “likely to disappoint.”

He is also bearish on Tesla’s rival Rivian Automotive (RIVN). According to Brinkman, the firm’s efforts to improve its balance sheet “will likely [be] hampered by reduced EV subsidies and tariffs.”

Next up, JPMorgan analyst Kenneth Worthington says Circle Internet Group (CRCL), the stablecoin issuer, is due for a correction.

“Circle is a market leader in stablecoins with amazing technology, we view competition emerging and its current valuation as excessive.”

Moving on to the social media sector, JPMorgan analyst Doug Anmuth says Snapchat (SNAP) faces continual hurdles, including big brand advertisers’ “volatile” spending as well as the firm’s “poor track record on execution.”

Bumble (BMBL) is also earning a bearish outlook as JPMorgan analyst Cory Carpenter says the dating app stock faces a “structurally challenged” online dating sector, and the firm “is early in its turnaround effort.”

Other stocks JPMorgan analysts say are among the best candidates for investors to look for corrections include the restaurant chain Cheesecake Factory (CAKE), chipmaker Intel (INTC) and fast-food chain Shake Shack (SHAK).

As of Monday’s close, the S&P 500 is trading at record highs at 6,286 points.

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A Goldman Sachs executive is outlining potentially tactical stock trades as second-quarter earnings reports begin to roll out in mid-July.

John Marshall, Goldman’s head of derivatives research, says in a new interview with CNBC that the brokerages Interactive Brokers (IBKR) and Charles Schwab (SCHW) are benefiting from a surge in retail trading activity, which could boost their stock prices.

“The retail activity – while they may not have been buying intensely over the last couple of months, they’ve been very active, and that should be a tailwind for both of them.” 

Marshall also says Goldman believes the equipment and machinery giant John Deere (DE) could benefit from the agricultural cycle, which the firm believes is at a cyclical bottom.

Goldman Sachs’ other tactical trades related to Q2 earnings reports include the cloud-based data storage firm Snowflake (SNOW), the aircraft leasing company Air Lease Corporation (AL), the restaurant franchise giant YUM! (YUM) and the global branded food company Hormel Foods (HRL).

In terms of stocks that could slide in price due to earnings reports, Marshall mentions the furniture giant Restoration Hardware (RH).

“While they don’t report until September, that’s a name which has tough compares.”

Other stocks that Goldman thinks could have potential downside include the airline giant Southwest (LUV) and the Boston Beer Company (SAM).

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Key points:

• Bitcoin fell below the $100,000 support on Sunday, but a rebound could depend on how US stock futures open.

• Bitcoin’s weakness has pulled ETH, XRP, SOL, and HYPE below their respective support levels.

Bitcoin (BTC) nosedived below the psychological $100,000 support on Sunday as traders digested the US strike on Iran’s nuclear facilities. Popular trader Cas Abbe said in a post on X that Bitcoin could drop toward the $93,000 to $94,000 zone before starting a reversal. 

Bitcoin’s weakness has spread to several major altcoins, which have entered a deeper correction by breaking below their respective support levels. This suggests the sentiment has soured, and traders are taking risk off the table.

However, a positive sign is that analysts remain bullish on Bitcoin for the long term. Real Vision CEO Raoul Pal said in a recent video that the current crypto cycle resembles the pattern seen in 2017. He expects the crypto cycle to extend into Q2 2026. 

Could Bitcoin bulls push the price back above $100,000, or will bears remain in control? Will select altcoins find buyers at lower levels? Let’s study the charts to find out.

Bitcoin price prediction

Bitcoin broke below the 50-day simple moving average ($104,788) on Friday and the $100,000 support on Sunday.

The moving averages are on the verge of a bearish crossover, and the relative strength index (RSI) is in the negative territory, indicating that bears are in control. If the price maintains below $100,000, the selling could intensify, pulling the BTC/USDT pair to $93,000.

Buyers will have to push the price above the 20-day exponential moving average ($104,616) to prevent the downside in the near term. The pair could then rise to the downtrend line, which is likely to pose a substantial challenge for the bulls.

The pair completed a bearish descending triangle pattern on a close below the $100,700 level. The pattern target of the negative setup is $89,420, but the bulls are unlikely to give up easily.

Buyers will try to start a relief rally, which could face selling at $100,700 and then at the 20-EMA. If the price turns down from the overhead resistance, the pair may deepen the correction. 

The bulls will have to drive and maintain the price above the 50-SMA to start a meaningful recovery.

Ether price prediction

Ether (ETH) turned down from the 20-day EMA ($2,487) and fell below the 50-day SMA ($2,481) on Friday.

Selling continued on Saturday, and the ETH/USDT pair broke below the $2,323 support. Buyers tried to push the price back above the breakdown level of $2,323, but renewed selling by the bears has pulled the pair near the $2,111 support. The bulls will try to defend the $2,111 level with all their might because a break below it may sink the pair to $1,754.

If the price rebounds off $2,111, the bulls will have to push the pair back above the 20-day EMA to suggest that the near-term correction may have ended.

The pair could find support at the $2,111 level, but the rebound is expected to face strong selling at the breakdown level of $2,323. If the price turns down sharply from $2,323, the bears will again try to sink the pair below $2,111.

Conversely, if the bulls successfully defend the $2,111 level, the pair could form a range in the near term. The pair may swing between $2,111 and $2,323 for some time. The selling pressure could weaken on a close above the 50-SMA.

XRP price prediction

XRP’s (XRP) range between $2 and $2.65 resolved to the downside on Sunday, indicating increased selling pressure from the bears. 

If the price sustains below $2, the XRP/USDT pair could tumble to the $1.61 support. Buyers are expected to vigorously defend the $1.61 level because a break below it may start a collapse to $1.28.

The bulls will have to swiftly push the price back above the breakdown level of $2 to prevent a breakdown. The pair could then rise to the moving averages, where the bears are likely to pose a strong challenge.

The bulls tried to start a bounce off the $2 support, but the bears aggressively sold near the 20-EMA on the 4-hour chart. The price turned down and broke below the $2 support, pulling the RSI into the oversold territory. That suggests a relief rally is possible in the short term.

On the upside, the bears may sell the recovery attempt at $2 and above that at the 20-EMA. If the price turns down sharply from the overhead resistance, the pair risks a further downside. A close above the 50-SMA will be the first sign that the selling pressure is reducing.

Related: Here’s what happened in crypto today

Solana price prediction

Solana (SOL) completed a bearish H&S pattern when the price closed below the $140 support on Saturday.

The bulls will try to start a recovery but may face selling at the 20-day EMA ($148). If the price turns down from the 20-day EMA, the SOL/USDT pair could plunge to the $110 support and eventually to the pattern target of $93.

Conversely, a break and close above the 20-day EMA suggests solid demand at lower levels. The pair could rise to the 50-day SMA ($160), which is likely to behave as a strong obstacle.

The downsloping moving averages signal that bears are in command, but the oversold level on the RSI points to a possible relief rally in the near term. Recovery attempts could face selling at the breakdown level of $140. If the price turns down from $140, the bears will try to resume the downward move.

Buyers will have to push and maintain the price above the 50-SMA to signal a comeback. That opens the doors for a relief rally to $149 and thereafter to $158.

Hyperliquid price prediction

Repeated failures to maintain the price above $42.50 started a sharp correction in Hyperliquid (HYPE), signaling that the bulls are hurrying to book profits.

The bulls held the 50-day SMA ($32.26) on Saturday, but the bounce has been sold into. That increases the possibility of a break below the 50-day SMA. The HYPE/USDT pair could descend to the breakout level of $28.50.

Buyers are likely to have other plans. They will try to defend the 50-day SMA and push the price back above the 20-day EMA. If they manage to do that, the pair could climb to $40. 

Both moving averages are sloping down, and the RSI is in the negative zone on the 4-hour chart. Pullbacks to the 20-EMA are likely to be sold into. There is minor support at $30.50, but it could be broken. The pair may then plummet to the solid support at $28.50.

The first sign of strength will be a break and close above the 20-EMA. That suggests the bears are losing their grip. The pair may ascend to the 50-SMA, which could again attract sellers.

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

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