✨Data Intelligence Lab@HKU✨

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.

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• Compare acquisition price gaps and deal completion risks
• Interpret purchases and sales by major shareholders
• Assess equity incentive terms and share dilution

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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• Reviewing a Chinese A-share company's future ST risk
• Assessing escalation risk for an existing ST or *ST stock
• Checking revenue, equity, and dividend warning signs

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

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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• Compare backtests under different slippage assumptions
• Estimate how trading costs reduce annual returns
• Explore VWAP and TWAP order splitting

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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• Assess crude oil supply and demand
• Review gold drivers such as real rates and the dollar
• Study copper inventories and economic signals

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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• Compare earnings forecasts with analyst consensus
• Measure earnings surprises after results
• Track upward and downward analyst revisions

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

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.

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• Score the potential price impact of news and announcements
• Organize historical events into a standard CSV file
• Combine event assessments with price-based trading signals

Write signal generation code for backtests combining stocks, crypto, forex, and other markets. Apply market-specific indicator settings and volatility-adjusted weights, while the existing CompositeEngine handles trading calendars, shared capital, and each market's rules.

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• Building a backtest combining stocks and crypto
• Applying different indicator settings to each market
• Adjusting portfolio weights for differences in volatility

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

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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• Detecting harmonic patterns in price data
• Identifying potential reversal zones
• Generating buy, sell, and stand-aside signals

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

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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• Detecting five-wave advances in price data
• Identifying completed ABC corrections
• Adjusting wave-detection parameters

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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• Checking whether a dividend is sustainable
• Screening high-yield stocks for payout risks
• Comparing the quality of dividend growth

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

Develop an eight-part article series examining one company's competitive strengths, earnings, assets, management, and valuation. Review figures, sources, accounting definitions, and claims across the series to prepare consistent articles for public publication.

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• Planning an eight-part company analysis series
• Checking figures and definitions across articles
• Revising unsupported claims before publication

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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• Analyzing cryptocurrency price movements with minute candles
• Calculating volume-weighted and time-weighted average prices
• Comparing trading volume by hour

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

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

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

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

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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• Check whether executives delivered on past commitments
• Review acquisitions, buybacks, dividends, and new ventures
• Assess ownership, compensation, and related-party dealings

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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• Detect classic patterns in candlestick data
• Combine bullish and bearish patterns into one signal
• Adjust thresholds for candle bodies and shadows

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