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Mean Reversion

RSI(2) mean reversion

Evidence: Tested, mixedBeginner

Also calledRSI 2Connors RSI 22 period RSIbuy the dip

In a long-term uptrend, buy when a 2-period RSI shows a sharp short-term sell-off, and sell on the first bounce.

Style
Swing trading
Charts
Daily charts
Markets
Stock indices and ETFs, Large stocks
Holding time
A few days

The idea

Most RSI strategies use 14 periods. Larry Connors popularised a far shorter one: a 2-period RSI, which swings to extremes after only two or three down days. The strategy buys those extremes, but only when the market is above its 200-day average, so it is buying dips in an uptrend rather than catching falling knives.

The exit is just as mechanical: sell at the first close above the 5-day average. Trades last a few days and most of them win, but the wins are small.

Watch it play out

Illustration, not a real chart.

Step by step

The rules

Setup

  • Daily chart. The close is above the 200-day simple moving average.

Entry

  • Buy at the close when the 2-period RSI closes under 10 (stricter versions use 5).

Stop-loss

  • The original rules use no stop. Many traders add one, for example 2 or 3 ATR under the entry, or a time stop after 10 days.

Target

  • Sell at the close of the first day that closes above the 5-day simple moving average.

Filters that help

  • Long only, and only in markets that have historically mean-reverted (broad indices more than single stocks).
  • Some versions buy a second time if RSI(2) drops further.

Why it can work

Over a few days, broad stock indices have tended to bounce after sharp falls, as forced sellers finish and dip buyers step in. Over months they have tended to rise. The strategy stacks both tendencies: a short-term overreaction inside a long-term uptrend.

Worked example

An index ETF is well above its 200-day average. After three down days it closes at $113.60 and its RSI(2) reads 6: buy at the close.

Two days later it closes at $117.90, above its 5-day average of $116.40: sell at the close, about 3.8% above the entry. Had it kept falling instead, nothing in the original rules would have closed it.

When it works, when it fails

Works best

In steady bull markets with frequent shallow dips, which is when most of the published results were made.

Struggles

In crashes and bear markets that begin inside an uptrend: the RSI stays low, the price keeps falling and, with no stop, small losses become large ones. The high win rate can hide that tail.

Common mistakes

  • Running it on single stocks or crypto without testing: some markets trend through oversold readings instead of bouncing.
  • Trading without any stop because the original rules had none, then holding through a crash.
  • Judging it by its win rate instead of its losses.

Variations

Cumulative RSI
Sum of the last two or three RSI(2) readings under a threshold, for fewer and deeper dips.
Double seven
Buy a close at a 7-day low above the 200-day average, sell a close at a 7-day high.

What the evidence says

Evidence: Tested, mixed

Public tests disagree, or the edge has faded over time.

Connors and Alvarez published the rules with strong historical results on US stocks up to the late 2000s, and many backtests since have reproduced high win rates.

Recent public backtests of the published logic on the S&P 500 over the last ten years show it trailing buy and hold by a wide margin, with a win rate around 70% but a much smaller total return. It reduced the time in the market, and with it most of the gains.

Questions

Why a 2-period RSI instead of 14?
Because a 2-period RSI reaches extreme readings after just two or three down days, which is the short-term overreaction the strategy wants to buy. A 14-period RSI rarely gets there.
Does RSI(2) still work?
Public backtests show it still wins most trades on US indices, but over the last decade it made far less than simply holding the index. Whether it suits you depends on what you want it for.
Should I use a stop with RSI(2)?
The original rules did not, which keeps the win rate high but leaves the account exposed to a crash. Adding a stop or a time exit lowers the win rate and caps the worst case.
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