Optimal Trade Entry

Turning a retracement into a specific price

From a concept to a level

Waiting for a pullback is the general principle. The optimal trade entry, usually shortened to OTE, is the attempt to turn that principle into a defined band of prices rather than a vague instruction to buy lower.

It uses retracement percentages of an impulsive move, and treats the area between roughly 62% and 79% as the region worth acting in. Above that band the entry is too expensive. Below it, the move is at risk of failing entirely.

Drawing it correctly

For a bullish setup, measure from the low that started the impulsive move to the high that ended it. For a bearish setup, measure from the high down to the low. The direction of measurement matters, since reversing it inverts every level.

The optimal trade entry zone

123

OTE zone, 62% to 79%

70.5%, the midpoint of the zone

50%, equilibrium

1

The start of the leg. For a bullish setup, this is the swing low the move began from.

2

The end of the leg, the swing high. These two points define the range being measured.

3

Price retraces into the zone and turns. Entering here rather than at 50% means a shorter distance to the invalidation below and a longer run to the target above.

Anything shallower than 62% is considered an expensive entry. Anything deeper than 79% risks the move failing altogether, since a retracement approaching 100% is usually becoming a reversal.

The leg you choose is the entire input. Measuring from a different swing point moves the whole zone, which is why the leg should be identified before price pulls back, not selected afterwards from whichever option puts the current price inside the zone.

Where the trade is aimed

The same measurement that produced the entry also produces the targets, extended beyond the original high rather than within the retracement.

0%

The swing high

The first obvious target, where the previous move ended.

-27%

First extension

A common partial exit level once the high is exceeded.

-62%

Second extension

A further target for the remainder when the move continues.

Negative percentages mean price has gone beyond the original swing high, extending the measured leg rather than retracing it.

Many traders take partial profit at the swing high and hold the remainder toward the extensions, which converts a trade that reaches the first target into a break-even position on the rest.

Why the depth matters so much

The appeal of this method is arithmetic rather than predictive. Entering deeper into the retracement shortens the distance to your invalidation and lengthens the distance to your target, and both work in your favour at once.

Three entries on one leg

A move runs from 1.0800 to 1.0900. The stop sits below the low at 1.0790 in every case, and the target is the swing high at 1.0900.

Entering at the 50% level, 1.0850: risk 60 pips, reward 50 pips. A ratio of 0.8:1, which loses money over time.

Entering at 70.5%, 1.0830: risk 40 pips, reward 70 pips. A ratio of 1.75:1.

Entering at 79%, 1.0821: risk 31 pips, reward 79 pips. A ratio of 2.5:1. Identical analysis and identical stop, three very different businesses.

What makes an entry stronger

The percentages on their own are just numbers. What separates a setup worth taking from an arbitrary level is what else occupies the same area.

  • An order block or an unfilled gap sitting inside the zone, so several methods point at the same price.
  • Liquidity taken just before price entered the zone, giving the reversal a reason.
  • The higher timeframe pointing the same way, so the entry is with the larger move rather than against it.
  • Price arriving during an active session rather than in thin overnight conditions.

A significant share of moves never reach 62% before continuing. Waiting for the zone means missing those, which is the accepted cost of the improved ratio on the trades you do take.

The failure mode to watch for is adjusting the leg after the fact so that current price falls inside the zone. Recording which swing points you measured, before entering, is what keeps the method honest enough to evaluate later.