← BRITISHHODL.COMINCOME PORTFOLIO LAB
RESEARCH TOOLS / INCOME PORTFOLIO LAB

YOUR INCOME.
YOUR BLEND.

Build the income. Understand the trade-offs.
Keep the capital you want to preserve in view.

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USD
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EST. MONTHLY INCOME ↗
—
Annual cash estimate
BLENDED PAYOUT YIELD i
—
Forward run-rate · gross of tax
HISTORICAL CAPITAL VOLATILITY i
—
Price movements · income withdrawn
LARGEST CAPITAL DRAWDOWN i
—
Peak to trough · income withdrawn
01 / BUILD YOUR PORTFOLIO

Make it your mix.

Unallocated cash0% yield assumption
0%$0

Example allocations are editable illustrations. Yields use dated cash distributions and prices.

02 / PROTECT THE PRINCIPAL

Income to spend. Capital to keep.

Track the money left invested when every distribution is withdrawn.

Observed moves use daily closing values. A modelled range is not a maximum possible loss or gain.

Price-growth assumptions start at 0%. Your target does not become a forecast.

Principal means your original dollars invested, rather than an issuer’s stated amount. Daily closes do not capture intraday lows.

03 / WHERE THE CASH COMES FROM

Your income, by product.

MONTHLY EQUIVALENT
Annual run-rate ÷ 12. Actual payment dates and amounts vary by product.
04 / BALANCE THE OBJECTIVES

Find your income–risk balance.

Compare allocations to your selected products and cash. Find the lowest historical volatility among the mixes tested, using your income and capital-growth targets.

EDITABLE TARGETS

Portfolio targets

TARGET ONLY · NOT AN ESTIMATE
Your income target
Annual price-growth target %
to
Excludes all distributions
Income target: gross monthly equivalent of the annual target, not a guaranteed payment. Cash available to withdraw.

Targets filter the comparison. They do not change your product-level price-growth assumptions.

Choose your targets, then compare the trade-off between income and capital volatility.

This is a comparison of tested mixes, not a guaranteed optimal allocation. Price-growth assumptions start at 0%; an 8–11% target can remain unmet. Short historical samples and shared Bitcoin or issuer exposure can understate future risk.

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Distribution yield is not total return.

A product can pay a large distribution while its price falls. This lab keeps cash income, capital value and total return visible together.

THE RESEARCH BEHIND THE NUMBERS

Data, assumptions & methodology

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Income

Starting investment × allocation × annual cash run-rate ÷ snapshot price. ETF payouts annualize the latest cash distribution; preferred payouts use the current stated annual dividend. These are editable estimates, not promised returns. STRK assumes cash settlement.

Historical performance

Verified daily closes and ex-dividend cash flows form total returns, with split adjustments applied consistently. Portfolio weights rebalance monthly. Only overlapping trading dates are used; missing history suppresses portfolio risk metrics.

Capital risk

Capital volatility uses the sample standard deviation of daily price returns × √252, with payouts withdrawn. Capital drawdown measures the largest observed peak-to-trough fall. The total-return tab separately reinvests payouts. Neither calculation establishes a maximum possible loss.

Scope

A dated research snapshot, with no automatic price feed. USD unless shown otherwise. Unallocated cash earns 0%. Fractional shares assumed. Results exclude investor taxes, trading costs and slippage; fund expenses are already reflected in fund prices.

Principal preservation

The reference is your original investment. The capital view tracks price movements while distributions are withdrawn; a payout can reduce invested capital without reducing capital plus cash received. Observed lows and highs use daily closes, not intraday extremes.

Modelled interim range

Five-session blocks of synchronized historical price movements preserve observed co-movement. Historical average log returns are removed and replaced with your product-level growth assumptions. The range uses the 5th percentile of each path’s lowest value and the 95th percentile of its highest value; it is not a guaranteed boundary. The model does not impose issuer price targets or call-price caps, or predict defaults and market regimes absent from the sample. Risk-model limitations ↗

Allocation comparison

The search compares selected products and cash using the same historical window and price covariance. It finds the lowest estimated volatility among tested mixes that meet your filters. Targets do not become forecasts, and a short sample cannot establish the best future allocation.

ProductPrice / basisAnnual cash / sharePayout cadenceSource

Common issuer and Bitcoin-related exposure can persist across different tickers. Higher income does not automatically mean greater diversification. New issues and thinly traded shares can make historical risk measures unrepresentative.

EXPAND YOUR BLEND

Add an income product.

Products without a reliable USD history can be modeled with your own assumptions. Historical risk remains unavailable for those blends.