A well-known trader said there is a real, repeatable edge in how markets move.
We turned that claim into a mechanical test and ran it on years of real prices —
Bitcoin, gold, stock indexes, currencies, and more.
The famous 80% number is wrong. Some of what sits around it is real.
Start here
Possible strategies
What you could actually trade, based on the tests below — not on the original
80% claim. Every “close” here is on a specific bar size; a different bar is a
different rule. These are research results, not a recommendation to put money on.
Come back in, with a wide enough stop
Best supported
The 80% “finish the trip” claim is false, but entering when price comes back
into the busy zone and stays there still beat a random entry. After fees, it
only stayed profitable when the stop was a slice of yesterday’s busy
zone — not the tiny first-hour range. Tested on 6 crypto markets, including
recent months the rule was not designed on.
How it would work
Use 15-minute bars. “Stay” means two 15-minute closes in a row inside the zone (30 minutes). The day’s opening range is the first hour (four 15-minute bars).
Wait for price to leave that opening-range busy zone, come back in, and stay for those two 15-minute closes.
Trade toward the other side of the zone (buy if it came back from below, sell if it came back from above).
Stop: 10% of yesterday’s busy-zone width. Target: 70% of that same width. Yesterday’s zone is also built from 15-minute bars.
Crypto only in this form. Do not size the stop off the first hour — fees eat it.
Bitcoin’s edge was weak in 2023 and in quiet markets. Ethereum held up better.
The trip finishes more often on quiet days, but adding that as a filter did
not improve average profit in the honest test.
Skip (or size down) when the market has been quiet
Add-on
The come-back-in rule (same 15-minute closes as above) does better in jumpy
periods and worse in quiet ones. A simple overlay — skip trades when recent
volatility is very low — improved results on unused 2025–2026 data. Sizing up
in jumpy conditions, instead of skipping quiet ones, got most of the benefit
with fewer trades thrown away.
Don’t cut too hard: an aggressive quietness filter dropped most of Bitcoin’s
recent trades. One cutoff shared across coins worked better than a separate
cutoff per coin.
Fade crypto “down” days; don’t fade gold the same way
Bias, not a full system
Use daily closes. After a crypto day labeled “down,” the next
five daily bars finish up more often than after an “up” day — a bounce, on
7 of 8 coins (TRX is the exception). Gold does the opposite: “up” days tend
to keep going. We never built a complete stop-and-target around this, and we
still don’t know why crypto bounces. Treat it as a short-horizon bias, not a
finished rule.
On monthly bars, follow “up” rather than fade it
Weaker evidence
Use monthly closes. Crypto’s short-term bounce flips at this
scale: “up” months beat “down” months by about 12 points, and gold looks
similar. The crypto side still pointed the same way on unused recent data.
Sample is thin, and gold has barely had any down months since 2023, so that
half could not be re-checked. A possible longer-horizon overlay, not a
stand-alone system.
Don’t trade the 80% full-trip rule
Ruled out
Same 15-minute definition as the come-back-in rule: two 15-minute closes
inside the zone. Do not then hold a target at the far side of the zone on
the belief that it completes ~80% of the time. It completes about 26% of
the time across days, and about 31–37% on the same day — on every market
class we tested. At least a quarter of these events go nowhere.
What we found
Price does not finish the trip 80% of the time.
After it leaves a day's busy zone and comes back in, it reaches the other
side about 26% of the time if you look across days, and about
31–37% if you only look at the same day. Crypto, gold, indexes,
and currencies all land in that same band.
Coming back in is still not random.
That entry beat a random entry on the same days. After trading fees it only
stays profitable if the stop is a slice of yesterday's busy zone —
not the tiny first-hour range. That version worked on 6 crypto markets,
including recent months we had not used to design the rule.
It works better on quiet days than on trend days —
in all 8 markets we tested.
A simple "this is an up day" label continues on gold.
On crypto, the next few days more often bounce the other way. Zoom out to
monthly bars, and that crypto bounce flips back toward continuation.
01
The idea, in plain language
Each day, most trading happens in a band of prices. Call that the
busy zone (traders call it the value area).
The rule we tested says:
Price leaves the busy zone.
Price comes back in and stays there for two 15-minute closes in a row (30 minutes).
Once it holds, it should travel all the way to the other side of the zone
about 80% of the time.
We asked a computer to count how often that actually happens, on 8 markets,
using the same rule every time. No chart-reading, no cherry-picking.
02
The 80% rule is wrong
Across 49,158 times price came back in and stayed, it finished the full trip
about a quarter of the time — not four-fifths.
Share of events that reached the other side
~26%not 80%
Every market we tested landed between 24% and 28%. That tight band is the
point: this is not one weird dataset. It is the real rate of the rule.
Market
Times it happened
Typical progress
Finished the trip
BTC/USDcrypto
6,325
21.5%
24.4%
ETH/USDcrypto
5,416
21.6%
23.7%
Goldmetal
6,061
23.1%
26.2%
Silvermetal
6,775
21.2%
24.3%
S&P 500index
5,882
24.4%
28.3%
Nasdaq 100index
5,238
24.1%
27.0%
EUR/USDfx
6,488
20.1%
24.7%
GBP/USDfx
6,373
22.6%
25.0%
The table above watches up to five days after yesterday's busy zone.
The original claim is usually about the same day. Measuring it that
way helps — the finish rate rises to the low-to-mid 30s — but it never
approaches 80%.
Market
Across days
Same day only
Nasdaq 100
27.0%
37.1%
S&P 500
28.3%
36.9%
Gold
26.2%
34.9%
Silver
24.3%
34.9%
GBP/USD
25.0%
35.4%
EUR/USD
24.7%
35.4%
BTC/USD
24.4%
32.0%
ETH/USD
23.7%
31.2%
At least a quarter of “came back in and stayed” events go nowhere — rejected
immediately, zero progress. The best quarter travel most or all of the way.
This is closer to “often fails, sometimes completes” than “usually gets most
of the way there.”
03
Is there still an edge?
A 26% finish rate does not mean the setup is noise. It may only mean
“wait for a full trip across the zone” is the wrong target.
We simulated real trades: enter when price comes back in and stays, then
take a stated target or stop, whichever hits first. We compared that with
entering at a random time on the same day, using the same target and stop.
R means average profit per trade, as a multiple of the amount
you put at risk. +1R = you made, on average, exactly what you risked.
Stop (share of the busy zone)
Reward : risk
Come-back-in (R)
Random entry (R)
5%
14:1
4.74R
2.76R
10%
7:1
2.20R
1.12R
15%
4.7:1
1.36R
0.59R
20%
3.5:1
0.97R
0.34R
30%
2.3:1
0.57R
0.07R
On Bitcoin, coming back in made about twice as much as random,
at every stop size, every year from 2020 through 2026. The 80% claim is false.
The setup still contains information.
After fees, the stop has to be wide enough
The first version used a stop based on the first hour's range. That range is
tiny. Bybit's trading fee (0.055% each way) was larger than the stop, so every
trade started in the hole. After fees, both the signal and random entries lost
money — the signal still lost less.
The fix: size the stop against yesterday's busy zone, which is about
five times wider. Same entry. After fees, a 10% stop of that wider zone was
profitable on Bitcoin, Ethereum, LINK, STX, ALT, and XMR. Random entries with
the identical rule were not. It also held up on the last six months of data,
which we had never used when designing the rule.
Limits worth knowing. Bitcoin's edge is not steady — 2020–2022
was strong, 2023 was weak. The rule does better when markets are jumpy and
worse when they are quiet. Ethereum still looks fine after real fill costs;
Bitcoin's weak stretch does not have much slack. This is research, not a
ready-to-trade system. Do not squeeze the stop tighter than 10% of yesterday's
zone: smaller stops look better on paper because the target stays fixed, while
fees swallow the risk.
04
Quiet days work better than trend days
The same book says this setup should work better when the market is chopping
around, not when it is already trending. That part held up.
Finish rate when price came back in from below
8 / 8markets agree
Quiet days beat down-trend days in every market — by 5 to 11 percentage
points. Same pattern in recent data we had not used to find it.
Market
Quiet day
Down-trend day
Gap
Gold
29.3%
18.1%
+11.2pt
EUR/USD
28.1%
19.5%
+8.6pt
GBP/USD
27.9%
20.5%
+7.4pt
Silver
27.7%
20.5%
+7.2pt
ETH/USD
26.7%
20.0%
+6.7pt
Nasdaq 100
31.9%
25.6%
+6.3pt
BTC/USD
27.6%
21.8%
+5.8pt
S&P 500
31.9%
26.5%
+5.4pt
05
A simple trend label: gold continues, crypto bounces
We also tested a second idea from the same source: label a day “up” only if it
makes a higher high, a higher low, and closes above the previous day's
high. Then ask: over the next five days, does “up” actually lead to higher prices?
Bitcoin, daily
Average, next 5 days
How often up
Every day
+0.536%
53.7%
Labeled up
+0.869%
51.2%
Labeled down
+0.443%
57.3%
After a “down” label, the next 5 days finish up more often. That is a bounce,
not a continuation.
Gold, daily
Average, next 5 days
How often up
Every day
+0.190%
54.3%
Labeled up
+0.214%
54.0%
Labeled down
+0.028%
50.5%
Here “up” beats “down,” which is the continuation the framework claims.
The crypto bounce shows up on 7 of 8 coins we tested. TRX is the exception.
We still do not know why crypto bounces — six candidate explanations failed.
Zoom out to monthly bars and the picture flips: “up” months
beat “down” months by about 12 points on crypto and on gold. Crypto's unused
recent data still points the same way. Gold has barely had any down months
since 2023, so that half could not be re-checked.
A last idea — whether a day's volume is piled near the top or the bottom —
did not produce a usable signal. Too few days in each bucket to trust.
06
How we measured this
Busy zone
Each UTC day, from 15-minute bars: spread volume across each bar's high–low range, then grow a band from the busiest price until it holds 70% of volume. An approximation from bars, not tick-by-tick data.
Come back and stay
Price closes back inside after being outside, then two 15-minute closes in a row stay inside (30 minutes). Progress is how far it got toward the other side, as a percent of the zone's width.
Trend label
On the bar size in use (daily or monthly in the tests above): higher high, higher low, and a close above the previous bar's high → “up” (the mirror for “down”). Anything else → quiet.
What we trust
1,000+ events is the bar for more than a first look. The 80% rule has 5,000–6,800 per market. Volume-shape buckets have 45–372, so we do not treat those as a finding.
Starting point: “$50M+ Ex-Hedge Fund Manager Reveals How to Find & Trade a REAL Edge” (IQCapital). Data: Dukascopy 1-minute bid candles (2015–present) and Bybit crypto prices. 50 crypto markets done; 7 of 19 traditional markets so far.