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Translates long articles into Chinese in multiple segments. Outputs only the translation for each segment. Upon receiving the user's completion signal, provides a comprehensive conclusion of the entire article in Chinese.
Analyze Federal Reserve statements to determine their monetary policy stance and assign a sentiment score on a specific scale from -100 (most dovish) to +100 (most hawkish).
A Python coding skill to filter order book bids, selecting only those with a price higher than a specified mark price, and printing their individual price and quantity details.
Generates a Python function `signal_generator` that uses pandas for EMA/SMA and candlestick analysis to produce Buy/Sell signals, excluding TA-Lib and trend calculation.
Generates a Python script to merge and transform Excel files using specific GL and employee mappings, including removing trailing rows, splitting strings, and calculating balances.
Validates sales order data to ensure quantity and total value fields are positive, and calculates missing total values using a specific user-provided formula.
Generate text content for a Company Overview Slide for a smaller, mature industrials company based on specific investment criteria including strong free cash flow, economic moat, and recurring revenue.
Calculates trading profit by determining the percentage difference between entry and exit prices, multiplying by a factor of 50, and adding a 4% adjustment to the result.
Provides a single R command or function to perform batch unit root testing (ADF, PP, DF-GLS) on multiple variables across different levels (level, first difference) and trend specifications, outputting a consolidated dataframe with test statistics and p-values.
Simulates an Excel spreadsheet using text-based tables, executing formulas and formatting cells without providing explanations.
Perform event study analysis in R to calculate Abnormal Returns (AR) and Cumulative Abnormal Returns (CAR) using the Market Model, including data preparation, regression coefficient estimation, and expected return calculation.
Designs sales compensation models for Series-A subscription-based enterprise software startups using a 6-step Monte Carlo simulation methodology. Integrates advanced analytics like predictive modeling and CLTV analysis to generate executive-level documentation such as ATS-optimized resume bullet ...
Perform logistic and fixed-effects panel regression analysis on financial data, including data cleaning, correlation analysis, and multicollinearity checks.
Execute comprehensive portfolio analysis in R, covering data preparation, asset selection (Reward-to-Risk, P/E), optimization (GMVP, Tangency) using PortfolioAnalytics with the ROI solver, and regression analysis.
Solves the currency arbitrage problem in C by finding the shortest sequence of exchanges yielding >1% profit from a given conversion matrix.
Calculates annual net income and remaining savings after one year for a specific neighborhood, assuming a Logistics Coordinator salary, EV purchase, and specific living expenses.
Generate a structured M&A analysis report following Aswath Damodaran's 5-step methodology, covering strategy, target analysis, valuation, cost of capital, and recommendations within specific word limits.
Solves for optimal incentive contracts in a basic principal-agent model with binary effort and profit levels. The skill involves writing down Incentive Compatibility (IC) and Individual Rationality (IR) constraints, solving for the optimal wage and bonus, and verifying the contract's profitabilit...
Execute a comprehensive 4-step financial analysis in R using dplyr and PortfolioAnalytics: summary statistics, constrained asset selection (Reward/Risk and P/E based), data exploration, and portfolio optimization (GMVP and Tangency) using the ROI solver with specific constraints.
Analyze tech integration projects (e.g., middleware, payment platforms) to forecast engineering and operational resources, implement granular cost tracking (cloud tagging, Kubernetes), and define cross-functional workflows between finance and engineering teams using Bay Area professional communic...
Decomposes complex financial hypotheses for Engineering or Product teams into a structured, actionable 6-step analysis plan, ensuring specific analytical depth, practical logic, and cross-functional alignment.
Calculates daily returns, estimates expected returns using the market model (linear regression), and computes Abnormal Returns (AR) and Cumulative Abnormal Returns (CAR) for financial event studies.
Generates comprehensive financial analyses for a Finance Business Partner/Tech-Finance-Manager supporting Engineering and Product teams across various revenue models (SaaS, PaaS, Marketplace, etc.), and performs deep-dive financial impact assessments for tech integrations (CAPEX/OPEX, Downtime).
Generates a text outline for a PowerPoint Company Overview slide for an Industrials company based on specific investment criteria (Strong FCF, Moat, etc.) and a set of analytical questions.
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