Google fires 28 employees after sit-in protest over controversial Project Nimbus contract with Israel

Google has terminated the employment of 28 employees following a prolonged sit-in protest at the company’s Sunnyvale and New York offices. The protests were in response to Project Nimbus, a $1.2 billion cloud computing contract inked by Google and Amazon with the Israeli government and its military three years ago. The controversial project, which also […]
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Get Two Years of Ultimate Security for 5TB of Files on 10 Devices for Just $120

ElephantDrive cloud storage solution will protect your data with encryption, plus a hybrid combination of cloud services and NAS hardware devices.

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The Implication of AI in Crypto Trading

The effects of AI and related technologies cannot be ignored. AI has successfully brought to life what many people wouldn’t believe. This has led to far-reaching implications in various sectors.
The crypto market is among the industries greatly affected by AI. The introduction of artificial intelligence into crypto trading has changed how these digital assets operate. Like in other industries, AI has brought automation, efficiency, and other previously unimaginable capabilities.
How AI is Impacting Crypto Trading
Crypto traders can use AI in the following ways:
1. Market Analysis
Traders should analyze the market before placing trades. Analyzing the market manually is time-consuming and prone to errors. Fortunately, traders looking to buy Bitcoin and other cryptos from Kraken and other platforms can benefit from AI-powered market analysis.
Artificial intelligence-powered algorithms are accurate at pattern recognition. They can precisely identify patterns from market data that aren’t easily apparent to human traders. Accurate identification of recurring patterns, like resistance and support levels, helps traders make better predictions of possible price movements.
Artificial intelligence also constantly monitors news headlines, social media posts, and other developments that can affect crypto prices. Prompt analysis of news articles and other sentiments gives traders valuable insights into the anticipated market reactions. This helps them adjust their trading positions.
You can also use AI to customize your trading strategies. AI-powered platforms can customize trading strategies to suit user preferences and other goals. These platforms use machine learning algorithms to optimize individual trading strategies.
2. Risk Management
Artificial intelligence also plays an important role in risk management. Crypto trading isn’t entirely risk-free. Experienced traders often lose a significant amount before making profits. However, traders can take advantage of AI to minimize their losses in many ways.
The first is through position sizing. AI-backed algorithms automatically adjust position sizes based on market volatility, risk balance, and other factors. Adjusting position size maximizes returns while minimizing the risk of making large losses.
AI is also important for liquidity risk management. AI algorithms closely monitor liquidity conditions in the crypto market to assess the difficulty levels of executing trades at the desired price. This helps traders avoid losses occasioned by trading in liquid markets.
Crypto traders also often make losses due to counterparties. Some counterparties, like crypto exchanges and brokers, are very unreliable. AI can help traders avoid such platforms by evaluating various factors like regulatory compliance and financial stability.
3. Arbitrage Opportunities
Besides conventional trading, traders can also make profits from arbitrage trading. This essentially involves identifying and taking advantage of presenting arbitrage opportunities. Unfortunately, identifying such opportunities manually is close to impossible.
AI makes the identification of arbitrage opportunities very easy. It analyzes real-time data from various crypto exchanges to identify trading volumes, price disparities, and spread in different markets. With this, AI can immediately identify arbitrage opportunities as they arise.
AI-powered platforms can also exploit latency arbitrage gaps as they execute traders faster than humans. AI collocates servers close to those of the exchange platform. This allows for high-speed connectivity, enabling AI to capitalize on slight price differences between crypto exchanges before they are standardized.
You can also use AI to achieve cross-exchange arbitrage. This essentially means identifying arbitrage opportunities between crypto exchanges offering the same assets at different prices. Though rare, such situations can occur due to market inefficiencies and regional factors. AI-guided opportunities can help you make profits by simultaneously executing trades in different exchanges.
4. Fraud Detection
Artificial intelligence also helps in detecting fraudulent activities, which have recently crippled the crypto markets. It does this through:
Detecting anomalies: AI algorithms can easily identify unusual patterns in trading activities that may suggest fraudulent transactions. AI analyzes transaction data, trading volumes, and other patterns to identify transactions that deviate from the norm.
Social network analysis: Al also analyzes social platforms and other communication channels used by traders to pick up communications between fraudulent individuals or groups. Monitoring their discussions and interactions helps uncover coordinated efforts by these persons to manipulate the market.
Pattern recognition: Fraud detection systems running on AI technologies can easily identify patterns associated with fraudulent activities. AI uses historical data and ML techniques to identify similarities between current and previous fraud incidents. This enables early detection and prevention.
Regulatory compliance: AI technologies also help agencies monitor crypto exchanges and trading platforms that don’t comply with regulations, such as the AML laws.
Risk scoring: AI-backed fraud detection tools evaluate and assign risk scores to accounts and transactions based on their likelihood of attempting or committing fraud. This helps alert traders and exchange operators of potentially fraudulent individuals.
Behavioral analysis: AI also analyzes an individual’s historical trading patterns to identify characteristics of fraudulent activities. Profiling traders helps exchange platforms flag suspicious accounts.
Artificial intelligence is important for fraud detection. It helps exchange operators identify and flag suspicious accounts and activities before they suffer significant damage.
The entrance of AI into the crypto field brought along a new wave of innovation and efficiency. AI algorithms can be used to power market analysis, trades, risk management, and detect fraud. AI has made it easy for crypto traders to navigate the seemingly complex crypto market with better confidence and precision.
The post The Implication of AI in Crypto Trading appeared first on ReadWrite.

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Tim Cook visits Singapore amid Apple’s Southeast Asia expansion efforts

Tim Cook will meet with Singapore’s next leader to conclude a whirlwind tour around Southeast Asia as Apple expands in the region.

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After chip breakthrough, Huawei launches fresh lineup of phones to challenge Apple in China

Huawei launched the Pura 70 series of smartphones on Thursday in a bid to continue its resurgence in China and ramp up its challenge to Apple in the market.

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Cisco debuts new AI-focused security system after $28 billion deal to buy Splunk

Enterprise tech giant Cisco unveiled a new security product, called HyperShield, which it says aims to secure clients’ data and devices with the help of AI.

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Orbex’s new funding may accelerate its Prime microlauncher into orbit

UK-based small launch developer Orbex got another boost from Scotland’s national bank and other investors as it gears up for its first orbital launch, though that mission still does not have a set date. Founded in 2015, Orbex is one of a handful of firms racing to develop the next generation of European launch vehicles. […]
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TSMC beats first-quarter revenue and profit expectations on strong AI chip demand

TSMC is the world’s largest producer of advanced processors and counts companies such as Nvidia and Apple as its clients.

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Google Fires Twenty-Eight Workers for Protesting Cloud Deal with Israel

The fired workers included nine Google employees who were removed by police after occupying Google offices on Tuesday.

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Elon Musk says in email that Tesla sent ‘incorrectly low’ severance packages to some laid-off employees

In a brief email to staffers on Wednesday, Tesla CEO Elon Musk said the company sent incorrect severance packages to some employees who lost their jobs.

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