策划、销售、财务、法务、项目管理（3765 个）
Model trading costs and execution assumptions in backtests, including slippage, the gap between expected and simulated fill prices. Compare price impact, fees, execution delays, and order splitting to assess how assumptions affect strategy results.
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Analyze earnings estimate changes, results versus analyst expectations, and management forecasts for US and Hong Kong stocks. Organize findings on post-earnings price trends and earnings quality into a structured investment research report.
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Analyze cross-border stock flows between mainland China and Hong Kong through Stock Connect. Compare overseas buying of mainland shares, mainland buying of Hong Kong shares, sector allocations, and price gaps between dual-listed shares.
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Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.
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Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.
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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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Evaluate dividend stocks by checking earnings, cash flow, debt, and dividend history. Assess whether payouts can last, identify high yields driven by falling prices, and consider total returns alongside dividend income.
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Structure research on war, sanctions, and supply disruptions using risk indicators and scenarios. Map potential effects across stocks, commodities, and currencies, then examine warning signals, defensive allocations, and possible market reversals as a crisis eases.
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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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Analyze candlestick data using Chan theory, a method based on price structure. Detect turning points, movement segments, and overlapping price zones, then generate buy and sell signals and compare patterns across timeframes.
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Compare company earnings forecasts with analyst consensus, the market’s shared estimate. Assess earnings surprises and changes in analyst expectations, then organize signals and supporting assumptions for trading research and historical testing.
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Assess whether a Chinese A-share company may receive ST or *ST risk warnings next financial year. Review financial forecasts, dividends, audit opinions, and regulatory penalties, then report risk severity separately from confidence in the prediction.
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Analyze price swings to detect Elliott Wave structures: five waves following a trend and three waves correcting it. Check wave rules and Fibonacci ratios, then generate signals for completed advances or pullbacks using a pandas implementation.
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Assess a company’s management through public statements, delivered commitments, crisis decisions, and use of company funds. Produce evidence-based scores for integrity, strategy, capital allocation, and governance, alongside a verdict on long-term trust.
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Recognize classic candlestick patterns using pandas, a Python library for tabular data. Combine bullish and bearish pattern scores into long, short, or stand-aside signals, with adjustable thresholds for candle bodies and shadows.
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Retrieve minute-level price data for stocks and cryptocurrencies, calculate average prices and volume patterns, and test intraday trading strategies. Configure the candle interval and trading costs to examine results using historical market data.
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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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Apply 12 structured investing frameworks to evidence already collected. Each framework orders the questions to ask, defines reasons to reject a case, and identifies its limitations, helping explain why different approaches reach different conclusions.
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Design research plans to protect existing investments using futures, ETFs, options, or other assets. Compare hedge sizes, estimated costs, and potential gains or losses under different market scenarios, with guidance on monitoring and adjustments.
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Evaluate investment funds and ETFs using returns, risk, fees, investment style, and manager performance. Detect changes in style, compare how closely ETFs follow their indexes, and plan portfolios that invest in multiple funds.
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Review decisions through Nassim Nicholas Taleb’s thinking about rare, severe losses and who bears their consequences. Identify hidden dependencies, compare potential gains with losses, and examine whether a strategy benefits from disruption or becomes more vulnerable.
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Examine startup ideas, product demand, writing, and career choices through frameworks drawn from Paul Graham’s essays and interviews. Reframe unclear questions, consider user needs and growth, and use writing and iteration to uncover better directions.
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Analyze product, organization, international expansion, and hiring decisions through frameworks drawn from 张一鸣’s public statements. Examine information flow, user needs, and long-term tradeoffs to identify underlying problems and opportunities for small-scale validation.
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Explore career choices, business opportunities, and competing goals using frameworks drawn from Naval Ravikant’s public work. Examine how software or content can multiply effort, identify distinctive knowledge, and clarify what wealth and freedom mean for a decision.
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