Planning, sales, accounting, legal, and project management (3.8K skills)
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.
Analyze corporate events in China's A-share market, including mergers, major shareholder transactions, equity incentives, and financing. Calculate acquisition price gaps, assess dilution and delisting risks, and organize event timing, signals, and risks into a report.
Turn news, company announcements, and policy events into scored trading inputs. Store assessments in a standard CSV file, reduce their influence over time, and combine them with signals from price indicators to support event-based strategy testing.
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.
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.
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.
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.
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.
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.
Compare a Chinese company's US depositary receipts, Hong Kong shares, and mainland shares after adjusting for exchange rates and share ratios. Analyze pricing gaps, valuation differences, and delisting risks to support research into its different listings.
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.
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.
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.
Analyze US public company filings to summarize financial health, management commentary, changing risks, insider trades, and institutional holdings. Combine these findings into a structured research report with scores and investment implications.
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.
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.
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.
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.
Examine product costs, technical plans, and industry assumptions through a framework drawn from Elon Musk’s public record. Compare prices with material costs, question unnecessary requirements, and explore whether to build components internally or outsource them.
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.
Review investment and business decisions using frameworks drawn from Charlie Munger’s public work. Examine failure paths, thinking biases, and incentives, compare opposing evidence, and identify questions that fall outside the available knowledge.
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.
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.
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.