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Dash · DASH/USDT · daily

What happens to Dash after large-trade buying?

Since 2019, Dash has shown large-trade buying 40 times. In the 40 cases old enough to score, the price was higher 7 days later 38% of the time, with a median move of −4.5%. On an ordinary day the median 7-day move for DASH is −0.5%.

Weak evidence54

There is a gap, but once you allow for how many studies were run, a gap this large is luck about 32% of the time, so it should not be relied on.

Cases since 201940last on 26 Sep 2026
Higher after 7 days38%ordinary: 48%
Median 7-day move−4.5%ordinary: −0.5%
Could be luck32%allowing for 3,572 studies
Worst / best case−42% / +80%over 7 days
Median path after the signalMiddle half of casesOrdinary DASH drift
−20%−10%0%+10%+20%+30% -5dsignal+7d+14d+30d
Price change relative to the close on the signal day. Based on the 40 cases with a full 30 days of history after them.

By holding period

AfterCasesHigherMedian moveMiddle halfOrdinary medianGapBy luckProof score
1 day4055%+1.2%−2.4% to +4.3%0.0%+1.2%25%27
3 days4048%−0.8%−6.5% to +6.5%−0.2%−0.6%87%47
7 days4038%−4.5%−11.4% to +8.0%−0.5%−4.1%32%54
14 days4053%+6.7%−14.7% to +16.7%−1.6%+8.4%11%85
30 days4035%−9.2%−24.0% to +15.2%−3.4%−5.8%70%51

“Ordinary median” is the median move of DASH over the same number of days starting from any day. “Gap” is the signal's median minus the ordinary one. “By luck” is how often a gap at least that large comes from randomly chosen days, corrected for the 3,572 studies run at each holding period (for this study taken alone: 2.9%).

Holding it for 7 days

Typical dip on the way−10.8%ordinary DASH: −7.5%
1 case in 4 dipped past−17.8%before day 7
Fell 10% or more on the way55%ordinary: 38%
Typical best point+7.8%highest price within 7 days
Median after costs−4.8%ordinary: −0.8%
Ahead after costs38%ordinary: 47%

Dips and best points use each day's low and high, measured from the close on the signal day. Costs assume 0.3% for a round trip: a 0.1% exchange fee each way and 0.05% slippage each way.

Did it hold up over time?

Splitting the cases by date: in the earlier 24 the gap over 7 days was −4.1%, and in the later 16 it was −2.9%. Same direction both times.

Every occurrence

One square per occurrence, oldest first. Green: higher 7 days later. Red: lower. Grey: not yet 7 days old.

DateClose+1d+7d+30d
26 Sep 2026$71.84−4.5%−17.4%−25.6%
1 Jan 2026$43.35−1.3%−10.7%+2.3%
6 Dec 2025$47.40−6.0%−5.1%−7.0%
15 Nov 2025$97.86−12.6%−41.7%−58.2%
2 Nov 2025$89.66+32.8%−9.0%−47.1%
26 Oct 2025$49.87−2.4%+79.8%+14.9%
9 Oct 2025$35.10+7.4%+20.2%+132.3%
26 Aug 2025$23.21+1.5%+0.4%−13.4%
19 Feb 2025$26.54+4.2%−0.6%−13.5%
8 Feb 2025$25.77+0.1%+5.0%−18.5%
25 Jan 2025$35.22−4.0%−13.6%−31.5%
23 Dec 2024$39.13+11.4%−1.5%−8.4%

The 12 most recent. All 40 are in the open data file.

The rule

Average trade size in the top 5% of the previous 180 days, with the share of volume from market buys above 50%. When the average trade gets unusually large, bigger players are active. Here they are active while market buys outweigh market sells.

Occurrences closer than 7 days to the previous one are not counted again. The signal is confirmed at the daily close (00:00 UTC) and returns are measured from that close. Full method.

The same signal on other coins

CoinCasesHigher after 7dMedianGapVerdict
Lisk4040%−4.7%−4.0%Weak evidence
Bitcoin Cash4639%−3.4%−3.2%Weak evidence
The Sandbox3459%+4.1%+5.4%Weak evidence
Cardano4858%+2.5%+3.3%Weak evidence
Stacks4434%−4.3%−3.7%Weak evidence
Ethereum Classic5430%−3.6%−2.6%Weak evidence
Amp3628%−4.7%−2.4%Weak evidence
Convex Finance2524%−8.6%−6.9%Weak evidence

Whale footprint: large trades, buyers in control across all 94 coins

Other Dash signals

Full Dash record

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