Volume & money flow · daily rule · Big tech
Money Flow Index on Alphabet
GOOGL with the play, last two years
Shading shows the play's call from the close that triggered it.
Money Flow Index (14)
Dashed lines at 20, 80.
Growth of $10,000 since 2005
Log scale. After trading costs, with T-bill interest while out.
The record
The play against buying and holding GOOGL over exactly the same dates, after costs.
| Play, since 2005 | Hold, since 2005 | Play, 5 yrs | Hold, 5 yrs | |
|---|---|---|---|---|
| Annual return | +5.8% | +21.6% | +3.3% | +21.1% |
| Total return | +243% | +6,940% | +18% | +160% |
| Worst drawdown | −56.7% | −65.3% | −43.6% | −44.3% |
| Volatility | 20.3% | 30.2% | 22.0% | 32.1% |
| Sharpe ratio | 0.29 | 0.74 | 0.09 | 0.64 |
| Time invested | 32% | 100% | ||
| Switches per year | 1.4 | 0 |
Every call, graded
Right on 15 of 30 closed calls (50%). In calls averaged +8.4%; out calls saw GOOGL move +22.5% on average.
| Called | Call | Price | Until | GOOGL moved | Result |
|---|---|---|---|---|---|
| Jul 17, 2025 | OUT | $182.94 | now | +93.4% | open |
| Mar 4, 2025 | IN | $169.92 | Jul 17, 2025 | +7.7% | ✓ right |
| May 30, 2023 | OUT | $122.50 | Mar 4, 2025 | +38.7% | ✕ wrong |
| Jan 27, 2022 | IN | $127.79 | May 30, 2023 | −4.1% | ✕ wrong |
| Apr 12, 2021 | OUT | $111.17 | Jan 27, 2022 | +14.9% | ✕ wrong |
| Dec 28, 2020 | IN | $87.86 | Apr 12, 2021 | +26.5% | ✓ right |
| Jun 11, 2020 | OUT | $69.43 | Dec 28, 2020 | +26.5% | ✕ wrong |
| Mar 10, 2020 | IN | $63.16 | Jun 11, 2020 | +9.9% | ✓ right |
| Apr 22, 2019 | OUT | $62.10 | Mar 10, 2020 | +1.7% | ✕ wrong |
| Dec 26, 2018 | IN | $51.90 | Apr 22, 2019 | +19.7% | ✓ right |
| Jul 21, 2016 | OUT | $37.36 | Dec 26, 2018 | +38.9% | ✕ wrong |
| Jan 21, 2016 | IN | $35.99 | Jul 21, 2016 | +3.8% | ✓ right |
An in call is right when the price rose before the next call; an out call is right when it fell. The latest 12 of 31 calls shown.
How the play works
- In when the 14-day MFI crosses up through 20.
- Out when it crosses down through 80.
The creators also stress divergences, which this rule ignores.
The case against
Valeriy Zakamulin tested moving-average timing on up to 155 years of U.S. stock data and found no statistically significant edge in the second half of that record. The rules earned their keep in a few severe bear markets and lagged buy and hold for long stretches in between.