Robo Advisor Pythonv0.3.3

Users can set up automated portfolio rebalancing strategies that enforce sell-before-buy order execution in every cycle, minimizing market impact and ensuring compliance with tax-efficient trading. Ideal for retail investors and advisors managing multi-asset portfolios across A-share, HK, and crypto markets.

When executing large-scale portfolio adjustments, the tool calculates transaction costs and redemption fees while prioritizing trades to avoid tax penalties. Useful for high-net-worth individuals and wealth managers who need to rebalance without triggering excessive tax liabilities.

Allows users to backtest strategies like MACD crossover or custom factors using historical data from multiple sources (eastmoney, joinquant, etc.) with proper look-ahead bias protection via next-bar execution. Suitable for quantitative analysts and retail traders validating strategies before live deployment.

Supports allocation across A-share, Hong Kong, and crypto markets (with limited US stock support), enabling users to build diversified portfolios. The smart minimum trade size calculation helps optimize execution for small accounts.

Enforces semantic locks such as sell-before-buy ordering and correct entity ID formats to prevent costly errors like look-ahead bias or division-by-zero in rebalancing. Designed for compliance-conscious financial institutions.

Robo-advisory platforms integrate this skill as a premium feature for automated rebalancing and tax-efficient trade execution. Revenue is generated through monthly subscription tiers based on portfolio size or number of rebalancing cycles.

Users can purchase or subscribe to pre-built backtested strategies (e.g., MACD golden-cross) that are packaged with this skill. Revenue comes from per-strategy sales or recurring licensing fees.

Banks and wealth management firms license the skill as a white-label solution to offer automated portfolio management to their clients. Revenue is from annual licensing and customization fees.