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Two weeks of a rule-perfect trading server

Published 13 October 2026. Period: 29 September 09:00 to 13 October 17:00 KST.

A dedicated cloud server ran our best trend rule for two weeks with ₩10,000,000 of paper money. It followed every rule, made no errors, and lost ₩392,842 (3.93%).

How this was made: the code, the research runs and the first drafts of this text were produced by an AI assistant (Claude) working under the operator's direction; the operator made every decision and checked the numbers. All trading was on paper: real prices, no real money. Nothing here is investment advice.

Two weeks, 29 September to 13 OctoberResult
Automated, paper money−3.93% (−₩392,842)
Holding Bitcoin, after fees−0.25%
Holding the 8 coins it started with, after fees−6.00%
Two-week server test against simply holding−10%−8%−6%−4%−2%0%+2%+4%Bitcoin filter off: no new buysHolding BTC −0.15%Automated, paper −3.93%Holding the 8 start coins −5.91%29 Sep13 Oct
Return since the start, every four-hour bar. The automated line includes fees and real order-book fills; the holding lines are prices only.

The setup

Every trade

CoinBought (KST)Price, KRWSold (KST)Price, KRWHeldResult, KRWExit
XLM10-01 09:0130810-02 01:0129816 h−83,586 (−3.34%)Trailing exit
ETH10-02 21:003,713,27710-03 09:013,629,63712 h−58,263 (−2.35%)Trailing exit
BTC10-02 21:00116,741,00010-04 09:01115,182,0101 d 12 h−35,551 (−1.43%)Trailing exit
WLD10-03 21:0082210-05 13:017691 d 16 h−160,669 (−6.54%)5% stop (on the bar close)
BTC10-05 09:01116,789,98610-07 13:01114,270,8922 d 4 h−54,772 (−2.25%)Trailing exit, filter off

Where the loss came from: price moves −₩368,479, fees −₩12,147, fills versus the signal price −₩12,215.

The audit

What it means

In nine years of replay, 12.9% of two-week windows were this bad, so the result is unlucky but not unusual for this rule (why two weeks cannot prove anything). The operator's judgment is still clear: the system worked, the method did not make money, and holding Bitcoin would have done better. Trading research is paused until better AI models are available.