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Time Stops: When an Unmoving Position Still Costs Money

A position has gone nowhere for three days, reaching neither stop nor target. It is tempting to say the trade is not wrong yet. But an entry thesis has a useful life. Once it expires, an unsupported position and ongoing costs remain. A time stop defines that expiry in advance.

What is a time stop?

A price stop defines how far a trade may go wrong before exiting. A time stop defines how soon the expected move must happen. If the move does not occur within the planned interval, the position closes regardless of whether its current PnL is positive or negative.

The reasoning is that every entry has a rationale with an expiry. A breakout-continuation trade targets the hours after the breakout, not an unrelated rise three days later. Keeping a position after its rationale disappears becomes neglect rather than execution of that original strategy.

Many traders set a price stop without a time condition. A stale position then stays until the price stop is hit, tying up margin and attention.

Costs of simply holding

Not reaching the stop does not mean there has been no cost. A perpetual futures position can accumulate costs while standing still. The guide budgets round-trip execution fees and accumulating funding over the holding period.

Cost of a position that stays flat for five days

Notional $800; margin $40 at 20×

Round-trip fees, taker 0.05% × 2:
800 × 0.10% = $0.80

Funding, assuming 0.01% paid every eight hours:
Three times daily → 800 × 0.03% = $0.24 per day
Five days × 0.24 = $1.20

Total $2.00
Relative to $40 margin: −5.0%

→ Price is unchanged, but the example's total costs equal 5% of margin.

Higher funding rates increase this amount. At 0.03% every eight hours, or 0.09% daily, five days on $800 notional costs $3.60 in funding alone, or 9% of the margin. An unchanged price does not mean no loss or cost.

There is also opportunity cost. Margin tied up in a stale position may prevent entry on the next signal. The position slots defined by position-sizing limits can be occupied by a trade whose rationale has expired.

Deriving a time window from backtests

The guide derives candidate windows from backtest records, beginning with the distribution of time taken by winning trades to reach their targets.

Example time-to-target distribution for 120 winning trades

Median, 50th percentile: four hours
75th percentile: nine hours
90th percentile: 22 hours
95th percentile: 41 hours

Median time to stop among losing trades: 31 hours

→ Candidate window: roughly the winning-trade 90th percentile,
rounded to 24 hours.
(About 90% of winners finished within that window.)

A position beyond that window has departed from the typical winning path in this sample. If winning trades typically reach the target in four hours but a position is still flat after thirty, it is not following the originally expected trajectory.

The next check is how positions that exceeded the window actually ended afterward. The guide uses this to decide whether a time stop belongs in the strategy.

Subsequent outcomes of sixty positions lasting beyond 24 hours

Fourteen wins, 23%; forty-six losses, 77%
Average winner +1.0R; average loser −0.9R

Conditional expectancy:
0.23 × (+1.0) + 0.77 × (−0.9)
= 0.23 − 0.693 ≈ −0.46R

Overall trade expectancy for comparison: +0.15R

→ The original example treats holding beyond the window
as a negative-expectancy condition.

Within that framework, a −0.46R result supports adding a time stop. If conditional expectancy remains positive, the guide instead favors a longer window or no time stop. The proposed reason is the negative measured conditional result, not merely that the rule sounds attractive. See expectancy and R-multiples for the calculation units.

Three forms of response

Reaching the window does not require only one response. The guide varies the intensity according to conditional expectancy.

① Hard time stop: Close the entire position at market when the window ends, regardless of PnL. The guide uses this for clearly negative conditional expectancy. It is simple and leaves little discretion.

② Conditional retention: Move the stop near breakeven after the window and let it exit on a reversal. This is intended for a position whose thesis has faded but that is not yet at a loss. It resembles a breakeven stop, with time rather than price as the trigger.

③ Reduce and trail: Close half at the deadline and manage the remainder with a trailing stop. The guide presents this as a compromise for mildly negative conditional expectancy in strategies, such as trend following, that occasionally produce large late moves.

Count candles and assess progress

The original guide favors counting candles in the strategy's timeframe rather than an unqualified duration, illustrating twenty 15-minute candles as five hours and twenty-four hourly candles as one day. It introduces this as a way to frame the time rule around the strategy.

Add a progress condition by checking how far price has traveled relative to ATR after the specified number of candles.

Progress gauge: 15-minute candles, ATR(14) assumed $420

Entry $68,000; target +1.5 ATR = $68,630

After twenty candles, or five hours, price is $68,090.
Progress = $90 = 0.21 ATR

Rule: less than 0.5 ATR after twenty candles invalidates the thesis.
0.21 < 0.5 → Exit.

If price were $68,300 after the same twenty candles:
Progress $300 = 0.71 ATR → Retain.

The original guide describes the ATR-based condition as adjusting the treatment of high- and low-volatility periods. If ATR doubles, the absolute price movement required to reach 0.5 ATR also doubles.

Four common mistakes

① Treating a time stop as a replacement for a price stop. They address different risks. A price stop limits a sufficiently adverse move; a time stop addresses a stale thesis. Without a price stop, substantial losses can occur before the time window ends.

② Cutting positions that are progressing well. The guide's progress-conditioned time rule targets positions failing to follow the thesis. If price has moved sufficiently toward the target, the progress gauge provides a reason to retain it.

③ Extending the window on the spot. Turning 24 hours into 48 and then 72 because you want to wait longer removes the rule's force. Such discretion can resemble overtrading or loss avoidance. Change the window during the next backtest review, rather than improvising in the trade.

④ Applying a short window to a low-win-rate strategy. A trend-following strategy with a 35% win rate may rely on a few large winners that take time. A short deadline can selectively remove the long-duration trades supplying its profits. Derive the window from that strategy's own distribution.

If used operationally, record “time-stop exit” as a separate reason in the trading journal. Later review what those trades would have done without the exit to evaluate the window. Without a record, there is no basis for assessing whether it was appropriate.

Three key points

① Entry rationales can expire, and holding perpetuals can incur fees and funding. The five-day flat-price example costs around 5% of posted margin.
② The guide derives a candidate window from the winning-trade 90th-percentile time to target, then considers a rule only if the longer-held group's conditional expectancy is negative.
③ A time stop supplements a price stop. Check progress relative to ATR and do not extend the deadline impulsively.

Caution

The time distributions, conditional expectancies and costs are examples of calculations, not measured performance of a particular account or strategy. Appropriate windows differ by strategy, timeframe and market regime; derive them from relevant records rather than copying these numbers. Funding may be received or paid depending on direction and timing, and rates change. No exit rule guarantees a profit. Leveraged trading can lose all principal. Decisions and their consequences remain your responsibility.

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