Interactive Simulator · Real Market Data · Hypothetical Results

SEE THE SYSTEM RUN.

This simulator executes the actual MicroRebalancing rules — buy below target, trim above target, repeat — against real historical prices for the ticker you choose, or a randomized market you configure. Then it compares the outcome to buy & hold. Change the market. Change the trigger. Watch what the mechanism does. The prices are real; the results are hypothetical; the math is honest.

System Parameters
Actual daily closing prices, July 2021 – July 2026. One check per day at the close.
Guideline: 1:1 with TA under $10K. The reserve is the engine AND the heart.
Deviation from TA that fires a trade.
Growth: trim proceeds refill the reserve, and half the amount raises the TA.
Strictest test: B&H invests TA + reserve on day one. MR must overcome its idle cash.
MicroRebalancing
total value
 
Buy & Hold
same capital
 
Profit banked
+ reserve growth
 
MR vs B&H
difference
 
 
MicroRebalancing (position + reserve + banked)
Buy & Hold
Asset price (scaled)

100-Path Monte Carlo · same settings, different randomness

MR median (25th–75th)
B&H median (25th–75th)
MR beat B&H in

MicroRebalancing breakdown

Final position value
Cash reserve remaining
Profit banked (extracted)
Final Target Allocation
Buy trades / trim trades
Buy signals unfunded (reserve empty)

Why the difference?

Asset price change over window
Round trips harvested
Volatility converted to cash
MR CAGR
B&H CAGR
Verdict this run
The honest part: MicroRebalancing converts volatility into cash. In choppy, falling, or recovering markets it typically outruns buy & hold. In a market that goes straight up without pullbacks, buy & hold usually wins the strict all-capital comparison — the system trims early and holds reserve cash. Try NVDA (relentless uptrend) versus F or ARKK (chop and drawdown) and watch the difference. No system wins everywhere; this one is built for the market we actually get.
Educational simulation only — not financial advice, not a projection, not a recommendation to trade any security. Historical mode uses actual daily closing prices (July 2021 – July 2026, split-adjusted) checked once per day; simulated mode uses randomized geometric Brownian motion. Taxes, commissions, slippage, spreads, and dividends are not modeled; frequent trims in taxable accounts create short-term capital-gains events (MR works best in tax-advantaged accounts). Past performance — real or simulated — does not guarantee future results. All investing involves risk, including loss of principal.
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Real trade logs, 21 documented simulation scenarios, tools & training — Ghost in the Machine