Historical Results
This is the real historical outcome rate and the closed historical trades — every signal, winners and losers, no cherry-picking. Start your free 14-day trial to access live scanner results and detailed historical records.
Historical Results
Portfolio Sizing — Goal simulation basis
The empirical hit rates and return distributions that power the sizing engine's Monte Carlo goal simulation.
PORTFOLIO SIZING — GOAL SIMULATOR BASIS
How the goal simulation is built
The sizing engine runs 10,000 Monte Carlo paths for each of five named strategies, drawing from today's signal pool. Each draw uses empirical hit rates and return distributions from the Themis blind walk-forward replay — the same data the Themis exit playbook is built on. The table below shows the aggregate hit rates and median returns per model and tier that inform each simulation draw.
- Goal probability = fraction of simulated paths that reach your target within your timeline
- Each cycle replaces expired positions with the next available signal at that tier
- Capital scales display only — identical parameters produce identical results for all users
Past performance does not predict future results. Not investment advice.