In various datasets, some common heuristics for identifying edges include considering factors like momentum, volume selling, and carry. The majority of edges can be simplified to the strategy of buying what is rising and selling what is declining, across different timeframes and with the application of cross-sectional filters. It’s helpful to create some plots for easy backtesting and to visualize the leading predictive effects in your data. When it comes to monetizing data, the process is quite similar to B2B sales. It requires lead time and persistent follow-ups. Offering data trials to demonstrate the value of your data is an effective approach before moving forward with negotiating a data sales contract.