PERFORMANCE
BASE 100BACKTEST BUILDER / V1
Backtest every allocation decision.
Define a universe, set the strategy and rebalancing rules, then inspect a reproducible run against market history.
RESEARCH WORKFLOW
From premise to evidence.
- 01
Define the universe
Choose up to 25 available tickers and the historical window to test.
- 02
Set the rules
Select an allocation method, risk preference, price series, costs, and rebalancing policy.
- 03
Inspect the run
Track completion, then review performance, holdings, and every recorded rebalance.
DETERMINISTIC DEMO RUN
Balanced tech rotation
AAPL · MSFT · NVDA · META /2021-01-04 → 2024-12-31
Total return
67.3%
Since inception
Annualized return
13.8%
CAGR
Sharpe ratio
1.57
Risk adjusted
Max drawdown
-21.7%
Peak to trough
ALLOCATION
4 assets · 2024-12-31Latest holdings
ACTIVITY
3 eventsRecent rebalances
2024-10-01 periodic $119.20 costs
2024-11-01 periodic $119.20 costs
2024-12-02 periodic $119.20 costs
FAQ
The details behind the demo.
A run includes a name, ticker universe, date range, price series, allocation strategy, risk aversion, rebalancing policy, optional costs, and position limits.
Regima currently supports mean variance, equal weight, and risk parity allocation strategies.
Choose periodic rebalancing on a monthly, quarterly, or yearly schedule, or use a threshold rule that responds when portfolio drift reaches the chosen level.
Completed runs expose summary metrics, net asset value history, returns, holdings, rebalances, and optimization records. Detailed resources remain paginated in the workspace.
You can inspect the public demo without an account. Sign in to access the available ticker catalog and explicitly submit a personal backtest.
No. A backtest is a historical simulation, not investment advice, a recommendation, or a guarantee of future results.
READY TO TEST A HYPOTHESIS?
Open simulatorTurn an allocation idea into a run.
Configure the inputs first. Sign in when you are ready to submit.