Averaging down
Averaging down is adding to a losing position so that the average entry price improves. It shortens the move needed to break even but increases the size exposed to the move that is already going wrong, so an unplanned add turns a single-trade loss into a larger one.
Senzoukria · Glossary · Updated September 2026
The arithmetic
Buy one ES contract at 5,000. The market falls to 4,990 and a second contract is bought there. The average entry is now 4,995, so the position breaks even five points higher than the low instead of ten. But each point is now worth 100 dollars instead of 50. If the market continues to 4,980, the position loses 15 points on two contracts, 1,500 dollars, instead of the 1,000 a single contract would have lost at the same price.
The add improves the break-even and worsens everything else: the loss per point, the distance to a daily loss limit and the margin used.
Planned scale-in versus averaging down
Some strategies enter in pieces by design: a first unit at a level, a second at a deeper level, with one stop for the whole position and a total risk decided before the first order. That is a scale-in with defined risk. Averaging down, in the sense traders warn about, is the unplanned version: the add is decided because the trade is losing, the stop is moved or removed to make room for it, and the total risk is whatever the market makes it.
- Planned: total size, entry levels and one stop decided in advance; the worst case is known.
- Unplanned: size grows with the loss; the worst case is set by the account's limits.
- Test: would the second entry be taken if there were no position already open?
In Senzoukria
The automatic backtest engine holds one position at a time: a buy signal while already long, or a sell signal while already short, is ignored, and an opposite signal closes the position before opening the other side. A scripted strategy therefore cannot average down in the automatic backtest; its results never include adds. On live and simulated accounts, the maximum order size guard, the autopilot's maximum contracts and the prop rules' maximum contracts limit how far an add can go, and the journal records each trade with its quantity so that adds show up in later review.
Common mistakes
- Moving the stop further away to justify the add.
- Counting the improved average price as progress while the loss in dollars grows.
- Adding on a prop firm account near the daily loss limit, where one more point can end the day or the account.
- Calling an unplanned add a scale-in after the fact.
Related
In the same section
- b-shaped profile
- Average fill price
- Back month
- Autopilot
- Backtest
- Automated trading
- Backwardation
- Autocorrelation
This page in other languages
Frequently asked questions
- Is averaging down always wrong?
- No. A plan that enters in several pieces at predefined levels with one stop and a known total risk can be tested like any other rule. What makes averaging down dangerous is deciding the add because the position is losing, without a fixed limit on total risk.
- Why do backtests rarely show averaging down?
- Many backtest engines, including the one in Senzoukria, allow a single position per strategy and ignore a same-side signal while it is open. Rules that add to positions must be modeled explicitly, and their worst-case drawdowns tend to be much deeper.