데이터·AI 스킬

Extract three to five plain-language trading rules from profitable trades, then test them across Chinese A-shares, Hong Kong stocks, US stocks, and crypto. Produce a report comparing simulated and actual results, with a breakdown of differences.

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• Extract shared patterns from profitable trades
• Test personal trading rules across four markets
• Break down differences between simulated and actual results

Generates buy, sell, or stand-aside signals from calendar patterns using price and volume data. Supports configurable months and weekdays, including combined conditions, for testing seasonal trading ideas against historical data.

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• Testing trading rules based on particular months
• Adding weekday conditions to a seasonal strategy
• Combining month and weekday signals

Apply statistical tests to financial time series, model changing volatility, and diagnose regression problems. Estimate uncertainty in strategy metrics through bootstrap resampling, which repeatedly samples existing data, and organize findings into a statistical testing report.

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• Check whether price and return series are statistically stable
• Test long-term relationships between two assets
• Diagnose regression problems in factor research

Choose financial data sources and tools for price history, financial statements, news, and economic research. The skill maps market coverage, credentials, access limits, and fallback options, and provides rules for checking important figures against independent sources.

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• Choose price data sources for historical strategy testing
• Find tools for financial statements, news, and economic indicators
• Check required API keys and alternative data sources

Track when assets begin moving together, assess the resulting loss of diversification, and examine which assets moved first during a crisis. Rank changes in asset relationships and report uncertainty explicitly for risk monitoring and retrospective analysis.

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• Monitoring when assets start moving as one group
• Reporting reduced portfolio diversification
• Examining which assets moved first during a crisis

Interpret crypto liquidation heatmaps, which show estimated price levels where leveraged positions may be forcibly closed. Organize major clusters, compare concentrations above and below the current price, and assess cascade risks and potential support or resistance zones.

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• Identify price zones with concentrated forced liquidations
• Assess the risk of cascading liquidations
• Review potential support and resistance after large liquidations

Compare exchange-traded funds by fees, tracking accuracy, liquidity, and market-price differences from asset value. Use the China-focused framework and Python examples to screen products, examine sector rotation, and study portfolio allocation.

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• Comparing ETFs that track the same index
• Estimating the long-term impact of fees
• Checking cross-border ETF premiums

Analyze bid–ask spreads, order books, and buying and selling imbalances to assess liquidity, or how easily an asset trades. Estimate large-order price impact and transaction costs, with additional guidance on Chinese A-share auction and block trades.

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• Estimate transaction costs for large orders
• Assess liquidity using order book depth and spreads
• Study trading imbalances and signs of liquidity stress

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

Analyze convertible bonds in China's A-share market through bond value, stock conversion value, and option value. Review conversion-price resets and redemption clauses, then compare candidates using low-price, low-premium screening and periodic portfolio rotation frameworks.

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• Compare bond, stock conversion, and option values
• Review conversion-price resets and early redemption risks
• Screen bonds for low prices and low conversion premiums

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

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• Retrieve historical prices for Chinese, US, and Hong Kong stocks
• Collect Chinese GDP and consumer price data
• Check futures quotes and foreign exchange rates

Compare yields from decentralized finance lending, liquidity provision, and staking. Assess returns alongside price-related losses, smart contract risks, and dependence on token rewards, then organize opportunities by risk and the sustainability of their income sources.

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• Compare lending and staking yields with their risks
• Estimate liquidity pool returns after price-related losses
• Assess whether rewards depend on token issuance

Explore bundled libraries of investment factors, signals used to compare securities, and inspect individual formulas and metadata. Evaluate a factor or an entire library across a chosen universe and period, producing aggregate performance statistics and an HTML report.

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• Find bundled momentum or reversal factors
• Inspect a named factor's formula and metadata
• Compare a factor library across a chosen universe and period

Build machine-learning trading signals from price and volume data. The workflow checks inputs, creates predictive features, and repeatedly trains on available historical data to produce bounded signals indicating predicted direction and strength.

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• Building trading signals from price and volume data
• Comparing machine-learning models
• Testing expanding and sliding training windows

Plan portfolio allocations across assets using risk, correlations, return forecasts, and trading costs. Compare five optimization methods, produce settings for config.json, and define rebalancing rules that adjust holdings back toward their target weights.

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• Comparing allocations across stocks, bonds, and gold
• Choosing an optimizer based on return forecasts and correlations
• Preparing portfolio settings for config.json

Evaluate investment factors across multiple securities using statistical measures and grouped backtests. Compare how well each factor predicts future returns, examine its consistency over time, and combine useful factors with equal or performance-based weights.

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• Testing whether an investment factor predicts returns
• Comparing factor strength across industries and markets
• Checking how predictive power changes with holding periods

Research stock and cryptocurrency strategies through historical testing, factor analysis, and options pricing. Analyze trading journals, extract rules from profitable trades, and generate reports comparing simulated results with actual trading outcomes.

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• Testing strategies on historical market data
• Comparing predefined predictive factors
• Reviewing trading habits from broker CSV exports

Analyze crypto derivatives for research and backtesting using perpetual funding payments, futures prices across expiry dates, and options volatility. Organize market metrics, compare strategy candidates, and outline risks such as margin shortages, funding reversals, and exchange failures.

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• Researching funding-rate arbitrage
• Comparing futures prices across expiry dates
• Analyzing options volatility and price sensitivity

Use CCXT, a library with a common interface for over 100 cryptocurrency exchanges, to retrieve historical prices and volumes, current quotes, order books, and recent trades. Public market data requires no API key.

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• Collecting historical prices and volumes for analysis
• Fetching current quotes for multiple trading pairs
• Inspecting order books and recent trades

Access stock fund flows, disclosures, news, financial statements, and market rankings through Vibe-Trading tools. The skill documents available data interfaces and examples, including symbol lookup, with market-specific sources and no token required.

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• Review fund flows for Chinese, Hong Kong, and US stocks
• Check Chinese stock disclosures and lockup expiry dates
• Retrieve company financial statements and stock news

Analyze how assets move together and test cointegration, a long-term equilibrium relationship between prices. Find related assets, group similar holdings, examine changing correlations, and estimate hedge ratios and reversion times for pairs-trading research.

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• Find assets that move with a target holding
• Group similar assets to review diversification
• Test long-term price relationships for pairs trading

Diagnose failed or abnormal backtests, which test trading strategies on historical data. Inspect result files, strategy code, and configuration to identify bugs, make targeted repairs, rerun tests, and verify the updated metrics.

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• Investigating backtest execution errors
• Finding why a strategy produces no trades
• Checking delayed trades or low capital usage

Organizes central bank policy, exchange rates, geopolitical risks, and capital flows into scored factors. Produces a structured macro report to support research into allocations across stocks, gold, and US Treasuries.

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• Building a macro dashboard for allocation research
• Comparing monetary policy and currency pressures
• Reviewing geopolitical risks and capital flows

Write and edit system prompts, tool instructions, and agent definitions with clear structure and explicit rule strength. It guides tag use, placement of critical constraints, concise wording, and practical examples that show how tools should be used.

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• Drafting system prompts for agents
• Clarifying required and optional instructions
• Writing tool explanations with runnable examples