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Can a moving-average guard make semiconductor investing safer?

Strategy in short: Hold 80% SMH after two completed month-end levels above their 10-month averages. Otherwise hold 20% SMH and 80% T-bills.

Retirement answer: SMH moving-average guard supported more starting spending than Always SMH: 4.3% versus 3.3% a year funded 30 years in at least 95% of both sets of histories. These are historical thresholds, not recommended spending.

Return comparison: Always SMH made more money in this backtest. SMH moving-average guard ended with $180,897 and Always SMH with $379,376.

Growth of $10,000 — logarithmic scale

Show on graph

SMH moving-average guard had a deepest fall of 22.6%, compared with 63.3% for Always SMH.

See when the moving average reduced semiconductor exposure

Two confirmations make the rule slower to move back into SMH. Its defensive state keeps only 20% in the fund.

The rule reduced exposure during 300 months. Across those months, SMH compounded to a gain of 3698%.

During the lower-exposure months, SMH rose in 179 months and fell in 121 months. That is where the rule either gave up gains or avoided losses.

SMH moving-average guard$180,897-22.6% deepest fall

Always SMH$379,376-63.3% deepest fall

July 2001 through June 2026. Distributions are reinvested. The calculation charges 0.10% of each risky asset bought or sold. There are no withdrawals in this graph. Equal percentage moves take equal vertical space. Past results do not predict future results.

Did the moving-average guard make SMH easier to spend from?

By January 2011, Always SMH had run out while SMH moving-average guard still had $292,582.

Avoiding more of the earlier losses left money available to keep paying withdrawals.

Example: You have $500,000 and need $2,500 a month—6% a year.

At the start$500,000

$2,500 a month starts at 6% a year.

SMH moving-average guard in January 2011$292,582

The same spending then equaled 12.7% a year.

Always SMH at the same point$0

The portfolio had run out of money.

What funded at least 95% of both history tests?

SMH moving-average guard supported a 4.3% starting annual withdrawal for 30 years: 300 ordered starts and 4,751 of 5,000 mixed histories funded every withdrawal.

SMH moving-average guard$1,792 a month4.3% of a $500,000 portfolio a year
Always SMH$1,375 a month3.3% of a $500,000 portfolio a year

These are historical thresholds, not recommended spending amounts or a promise of future success.

Test if SMH moving-average guard can fund your early retirement with your own numbers

Enter your portfolio, monthly spending, and how long the money needs to last.

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$2,500 a month for 30 years starts at 6.0% of the portfolio each year.

In these backtests, sometimes. Neither strategy funded this early retirement in at least 8 out of 10 histories tested.

300 starting months; the fund's record repeats in order when needed

SMH moving-average guard
281 funded
Always SMH
275 funded

5,000 histories built from 8–12-year pieces

SMH moving-average guard
3,642 funded
Always SMH
3,747 funded

A path funded the goal only if it paid every inflation-adjusted monthly withdrawal for 30 years. Results use the nearest 0.1 percentage-point starting withdrawal rate. They reuse one 25-year market record and are not a probability about your future.

How the FIRE calculator works

The calculator applies the portfolio value, monthly withdrawal, and number of years you enter. The first withdrawal occurs before the first month's return, and later withdrawals rise with U.S. inflation. A history counts as funded only if it pays every monthly withdrawal for the full period and finishes above zero.

One result begins at each of the 300 months in the fund record and follows that record forward in order, returning to its first month when more months are needed. The other builds 5,000 longer histories from linked 8-, 10-, and 12-year pieces of the same record. The calculation charges 0.10% whenever SMH is bought or sold and excludes personal tax.

At every repeated or rearranged join, market signals use the real observations that preceded the incoming historical month. Portfolio value, withdrawals, inflation and strategy state continue without resetting.

Strategy in detail

Hold 80% SMH after two completed month-end levels above their 10-month averages. Otherwise hold 20% SMH and 80% T-bills.

The rule trades speed for confirmation: it waits for two completed closes above their moving averages before restoring exposure after weakness.

Research has found that market direction can persist for months in many asset classes. See the 2012 time-series momentum study and a longer study across 67 markets. Those broad findings make the idea plausible; they do not validate this exact rule.

Can I trust these results?

My evidence-weighted estimate is about 52% that the main effect would persist in a new long market period. That makes the result plausible, not dependable enough to treat as a promise.

The direct test covers July 2001 through June 2026. It includes fund distributions, T-bill returns, inflation and the stated trading costs, but it is still one U.S. market record. The longer retirement histories repeat it or link 8–12-year pieces; they test difficult orders, not new historical evidence.

Treat the result as evidence about how the rule behaved, then compare it with simpler alternatives and your own ability to follow it through a bad period.

Methodology details for the nerds

How I ran the return comparison

The test starts with the amount shown on the graph. Each decision uses only information already complete at that month-end. Distributions are reinvested, T-bills earn the published three-month rate, and the calculation charges 0.10% of each risky asset bought or sold.

How I tested retirement withdrawals

The first withdrawal occurs before the first month's return. Spending then rises with U.S. inflation. One panel checks every starting month in order; the other links 5,000 histories from 8-, 10-, and 12-year pieces. A path counts only if it pays every withdrawal and remains above zero.

Data and important limits

The calculation uses adjusted fund returns plus U.S. government T-bill and inflation data. Personal tax, spreads beyond the stated cost, and investor behavior are not included. A real fund can differ from its index because of fees and tracking.

Keep comparing

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