'trends' 검색 결과

Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.

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• Detect unusual values in a single time series
• Check the latest incoming measurement for anomalies
• Find changes in time-series trends

Collect social posts, business listings, reviews, and other web data by selecting from over 55 Apify Actors, ready-made extraction tools. Run the selected tool, summarize results, and export data as CSV or JSON.

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• Building prospect lists from business listings
• Collecting competitor posts and ads
• Gathering reviews for analysis

Gather market research data from maps, social platforms, and travel sites using Apify Actors, tools for collecting online data. Summarize regional demand, pricing, and consumer insights, with chat results or CSV and JSON exports.

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• Investigating business density and regional demand
• Comparing marketplace prices
• Exploring consumer needs through social posts

Organize supplied health records, including sleep, exercise, nutrition, and test results, to describe trends, relationships, and risk factors. Prepare general health information, summaries, and questions for a doctor, with clear limits on medical interpretation.

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• Summarize sleep, exercise, nutrition, and health records together
• Explore changes and relationships in health metrics
• Prepare questions to discuss with a doctor

Choose and track startup metrics suited to the business model and funding stage. Calculate customer acquisition cost, customer lifetime value, retention, and cash usage, then organize trends and targets for operational reviews and investor reporting.

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• Choose core metrics for a startup's stage and business model
• Calculate customer acquisition cost and lifetime value
• Review retention, growth efficiency, and cash usage

Analyze customer profitability and revenue durability for SaaS, subscription, and other recurring businesses. Examine acquisition costs, retention, and revenue trends by customer group, then produce an Excel workbook, summary slide, and issues for further investigation.

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• Assessing recurring revenue quality in an investment target
• Tracking revenue by customer acquisition year
• Comparing acquisition costs with customer lifetime value

Create a single PowerPoint slide summarizing recent funding activity in selected sectors or companies. Using S&P Global Capital IQ data, it highlights funding totals, company valuations, major investors, key trends, and links to individual deals.

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• Weekly funding recaps for selected sectors
• Tracking funding rounds at watched companies
• Briefing colleagues on major deals and valuation changes

Create stock research notes combining analyst forecasts, reported financials, price history, and economic conditions. Compare market expectations with business performance, present valuation measures, and summarize an investment case with positive scenarios, risks, and potential catalysts.

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• Preparing an initial research note on a stock
• Comparing analyst forecasts with reported results
• Reviewing financial trends and stock valuation

Review portfolio company financial reports in Excel, PDF, or CSV, compare key measures with budgets and prior periods, and summarize performance trends, warning signs, and compliance with financial conditions in loan agreements.

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• Reviewing monthly performance against budget
• Preparing financial summaries for board meetings
• Checking financial conditions in loan agreements

Create an industry report covering market size, growth drivers, major competitors, and valuation levels. Organize findings into Word or PowerPoint with charts and company comparisons, plus an Excel appendix containing detailed company data.

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• Preparing an industry overview for a client
• Building internal knowledge of an unfamiliar sector
• Researching an investment theme

Analyze price differences between bond futures and cash bonds, identify the cheapest bond to deliver, and compare implied financing rates with market rates. Present valuation tables and historical context to assess potential basis trades.

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• Comparing bond futures with cash bond prices
• Identifying the cheapest bond to deliver
• Comparing implied financing rates with market rates

Plan Power BI reports around business goals and audience needs. Get recommendations for chart types, page layouts, filters, navigation, mobile views, and accessibility, along with design specifications and a framework for reviewing usability.

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• Plan an executive dashboard with key metrics
• Choose charts for comparisons and trends
• Improve filters and navigation to detailed data

Analyze public blockchain records to assess crypto market conditions. Combine network activity, large-holder transfers, decentralized finance liquidity, and valuation measures into a report with indicator comparisons, a composite score, and an interpretation of market signals.

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• Compare blockchain activity with price trends
• Examine large-holder transfers and exchange flows
• Review funds held in decentralized finance and trading liquidity

Compare money moving into and out of US exchange-traded funds to assess sector rotation and appetite for risk. Produce a structured view of broad market, growth versus value, bond, and thematic fund flows.

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• Review broad US equity ETF inflows and outflows
• Identify sectors attracting or losing capital
• Compare growth and value fund flows

Track USDT, USDC, and other stablecoins to assess capital entering or leaving crypto markets. Combine supply changes, issuance and redemption, exchange balances, transfer activity, and movements between blockchains into a structured liquidity report.

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• Review USDT and USDC issuance and redemption
• Assess changes in stablecoin balances on exchanges
• Compare stablecoin flows across blockchains

Analyze price and volume data using trend indicators, overbought and oversold measures, and volume changes. Combine these three perspectives into a single long, short, or stand-aside signal, with adjustable calculation periods and thresholds.

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• Combine several technical indicators into one signal
• Check trends alongside overbought and oversold conditions
• Adjust indicator periods and thresholds

Generate trading signals using Ichimoku Kinko Hyo, a five-line chart framework. Combine conversion-line and base-line crossovers with price position and cloud direction to classify conditions as long, short, or stand aside using pandas.

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• Evaluate trends with the five Ichimoku lines
• Identify crossovers that agree with the cloud
• Adjust calculation periods and displacement

Interpret economic indicators and central bank policy across China, the United States, and Europe. Identify the economic cycle stage and produce a structured assessment of whether to increase, maintain, or reduce allocations to major asset classes.

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• Assess the economic cycle using growth and inflation data
• Interpret policy signals from the Fed, PBOC, and ECB
• Review allocation directions across major asset classes

Use investor psychology to examine trading signals and risk controls, especially in China A-shares. The skill provides sentiment measures, checklists for biased decisions, and frameworks for assessing momentum, which follows trends, and reversal strategies.

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• Reviewing market optimism and fear
• Examining momentum and reversal strategies
• Checking investment decisions for cognitive biases

Break down major industrial trends into materials, components, and equipment to find listed suppliers at supply bottlenecks. Compare scarcity, financial performance, and valuation, then organize candidates into a ranked research board with supporting evidence and risks.

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• Find overlooked suppliers benefiting from AI infrastructure growth
• Compare supply constraints in energy transition supply chains
• Check valuations of companies at critical supply bottlenecks

Analyze income statements, balance sheets, and cash flow statements together to assess earnings quality. Break down return on equity into its drivers, compare profits with operating cash flow, and organize warning signs that warrant closer accounting review.

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• Check whether reported profits translate into cash
• Explain changes in return on equity
• Review accounting warning signs

Guide a structured review after a security incident, using timelines and response data to identify root causes and process gaps. Produce review notes, response metrics, and practical improvements with named owners and deadlines.

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• Reviewing response after a ransomware incident
• Turning exercise findings into process improvements
• Updating incident response playbooks

Build dashboards and reports for security operations teams using incident and alert data. Track detection and resolution times, false alarms, analyst workload, and detection coverage to assess operational trends and the effects of improvement initiatives.

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• Preparing monthly or quarterly security operations reports
• Reviewing analyst workload and shift staffing
• Comparing performance before and after tool adoption

Collect and organize victim postings from ransomware data leak sites through tracking feeds. Analyze group activity over time, compare sector and country patterns, and produce threat reports with risk assessments and defensive recommendations.

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• Track monthly activity across ransomware groups
• Assess ransomware exposure by sector or country
• Identify newly observed ransomware groups