Averaging Down — Definition, Examples, How to Fix

What it is

Averaging down converts hope into action. Rather than close the losing trade, the trader doubles or triples the position at a "better" price. The logic feels rational — the original thesis is now cheaper. The reality is that the position is now 2-3x the original size in a market that has already proven the thesis wrong. When the next leg down comes, the loss is no longer the planned 1R but 4-6R.

What it looks like

• Buying 100 more lots after the position is already underwater 50%.
• Doubling crypto perp size when the original entry has been stopped out.
• Adding to a put position as the underlying rallies, hoping for "the reversal."

Why it costs you money

Averaging-down trades, when they fail, lose 3-5x the original planned stop. They are also the hardest trades to walk away from because the trader has now committed twice — sunk-cost fallacy reinforces hope-and-hold.

How TradeSaath detects this

TradeSaath identifies multiple entry orders on the same instrument within a single session, where each successive entry is at a worse price than the previous and total position size grows beyond the trader's session-average.

How to fix it

1. Hard rule: never add to a losing position in the same session.
2. If you must average, only average up — into a position that is already working.
3. Pre-define maximum entries per setup (typically 1).
4. Treat each entry as a complete decision — not a "tranche" of one big trade.

Related

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