Momentum Asset Growth Strategy (Python)

This hybrid factor strategy marries price momentum with the asset-growth effect. Firms that rapidly expand their balance sheets and simultaneously show strong trending prices are often rewarded by the market. The approach first filters the universe for companies in the highest decile of asset growth. Eligible stocks are then ranked on twelve-month momentum, excluding the most recent month to avoid short-term reversals. The top momentum quintile is bought while the bottom quintile is sold short. Rebalancing takes place on the first trading day of each month except January when the strategy stays idle. No stop-losses are applied between reviews. Backtests across developed equities indicate the blend of asset expansion and momentum delivers robust returns with moderate turnover.

• Entry Criteria: Monthly; select top asset-growth decile then rank by momentum; long top quintile, short bottom quintile

• Long/Short: Both

• Exit Criteria: Next monthly rebalance (January skipped)

• Stops: No

• Default Values:

• MomLook = 252

• SkipMonths = 1

• AssetDecile = 10

• Quintile = 5

• MinTradeUsd = 200

• CandleType = TimeSpan.FromDays(1) [*]Filters:

• Category: Momentum, Fundamentals

• Direction: Both

• Indicators: Price momentum, asset growth

• Stops: No

• Complexity: Advanced

• Timeframe: Medium-term

• Seasonality: Yes

• Neural networks: No

• Divergence: No

• Risk level: Medium