Initializing Monte Carlo Engine
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SIMULATION PARAMETERS
Simulation Setup
Metric
Horizon
Sims
Model
Custom Parameters (Annualized)
%
%
Actions

Select a period from the table below to use its statistics, or enter custom values.

MONTE CARLO PROJECTION
Running Monte Carlo Simulation
0%
Initializing...
Simulation Paths & Confidence Bands Distribution: - | Simulations: - | Horizon: -
HISTORICAL STATISTICS BY PERIOD
Period Observations Ann. Mean Ann. Volatility Total Return Sharpe Pos. Days
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ROLLING STATISTICS (ANNUALIZED)
Rolling Statistics show how return and volatility have evolved over time. Use these charts to understand the current market context and decide on appropriate simulation parameters. The percentile rank tells you where current values stand relative to historical ranges.
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Rolling Annualized Return Current: —
Rolling Annualized Volatility Current: —
Return Percentile
vs historical range
Volatility Percentile
vs historical range
Rolling Sharpe
risk-adjusted return
Suggested Params
MARKET REGIME ANALYSIS
Current Regime
Since — (— days)
Regime Avg Return
Regime Avg Vol

Historical Regime Statistics

Regime % of Time Avg Return Avg Volatility Avg Sharpe
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BITCOIN HALVING CYCLE ANALYSIS
Current Position
Phase: — | — days into cycle
Phase Avg Return
Phase Avg Vol
— days
~— days to next
Early Mid Late Next Halving

Statistics by Halving Cycle

Cycle Period Days Ann. Return Ann. Volatility Total Change
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SCENARIO PROJECTIONS
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Multi-Scenario Comparison Median projections under different historical conditions

Scenario Comparison at Horizon

Scenario Ann. Mean Ann. Vol Median Final 10th %ile 90th %ile P(Higher)
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SIMULATION RESULTS
Current Value
USD
Starting point
Expected Value
USD
Median Outcome
USD
50th percentile
95% CI Low
USD
2.5th percentile
95% CI High
USD
97.5th percentile
Prob. Higher
%
Above current
Confidence Intervals at Horizon
Final Value Distribution
PROBABILITY ANALYSIS
Outcome Probabilities

Upside Scenarios

Above Current
2x (Double)
3x (Triple)
5x
10x

Downside Scenarios

Below Current
Down 25%
Down 50%
Down 75%
Model Information
Distribution
KS Statistic
KS p-value
AIC
Fit Quality
Simulations use the best-fit distribution from historical data. Lower AIC and higher p-value indicate better fit. Results are probabilistic estimates, not predictions. Learn more →