20d return: what it was followed by

What a 20d return extreme was historically followed by, measured across our stock coverage.

What a 20d return extreme was historically followed by, measured across our stock coverage.

How to read this. These figures are measured only on instruments currently in our coverage — a set of companies that survived. Signals that appear to have 'worked' on the downside are conditioned on these names having recovered; a company that fell and never came back would not be here to measure. Read every number below as a property of this surviving sample, not a universal rule, and never as advice.

All figures are ‘excess’ returns — measured relative to each instrument’s own historical drift, not relative to the market. This is not alpha and not a market-beating claim; it isolates the signal from the instrument’s background trend. Measured from the first day each signal appeared (not its most extreme point), so it reflects what was knowable in real time.

Overbought / high extreme

Across 2175 past episodes where a stock was overbought on this signal, the 2170 with a complete 20-session forward window lagged a stock’s own trailing drift by 0.20 percentage points on average (47% of those 2170 beat drift).

the stock forward excess return vs its own drift after overbought 20d return readings, by horizon.
horizonexcess vs own driftbeat-drift rateepisodes with complete horizon
1 session-0.19%41%2175
5 sessions-0.50%42%2173
20 sessions-0.20%47%2170

Oversold / low extreme

Across 2135 past episodes where a stock was oversold on this signal, the 2132 with a complete 20-session forward window beat a stock’s own trailing drift by 0.23 percentage points on average (53% of those 2132 beat drift).

the stock forward excess return vs its own drift after oversold 20d return readings, by horizon.
horizonexcess vs own driftbeat-drift rateepisodes with complete horizon
1 session+0.22%49%2135
5 sessions+0.33%52%2135
20 sessions+0.23%53%2132

By instrument

Each instrument’s own history on this signal (where it has enough episodes to characterize):