thesis-tracker

To keep an investment thesis falsifiable, you must systematically log new datapoints with dates, map them to specific thesis pillars, and update your conviction levels and scorecard. This ensures your thesis evolves based on verifiable evidence rather than going stale.

The best way to track thesis catalysts and risks is by maintaining a structured scorecard and a forward-looking catalyst calendar. This method captures event logs, maps new information to pillar impacts, and flags stop-loss triggers for regular risk monitoring.

You structure an investment thesis for portfolio review by capturing thesis statements, key pillars, risks, catalysts, and valuation assumptions. This is formatted into a consistent markdown summary with an actionable update log detailing conviction levels and recommended actions.

You create a falsifiable investment scorecard by defining clear thesis pillars, specific risks, target valuations, and explicit stop-loss triggers. Each new datapoint is then mapped to pillar impact trends, updating the scorecard so the thesis can be objectively proven or disproven.

Yes, tracking an investment thesis requires logging each new datapoint with its date and mapping it to specific pillar impacts. This non-fabrication constraint ensures scorecard trends and conviction levels accurately reflect evolving evidence for risk committee discussions.

Yes, you can use thesis tracking for both long and short position watchlists. By defining your stance and entering three to five pillars, risks, and catalysts, the scorecard maintains falsifiable update logs and conviction levels regardless of the position direction.