ACrypto lets an AI place the trades. After the first stretch — about 11k decision cycles and 154 finished trades — I sat down with the logs. This is the short version: what went well, what got weird, and what I am not ready to claim yet.
Data through 2026-08-11Written 2026-08-13
Short version: It made money, survived a nasty drawdown, and the plumbing got a lot better. Sustainability is not yet proven — interesting sample, not a victory lap.
Equity change
+14.4%
Where the account ended up
Max drawdown
−24.1%
The ugliest stretch along the way
Completed trades
154
May–Aug 2026
Win rate
58.4%
A bit more wins than losses
01 / THE RIDE
How equity actually moved
From the decision log · vs starting equity+14.4% by the end
If you only glance at one chart, make it this one. Trade-by-trade scorekeeping told a rosier story than the account curve — fees, partials, and bookkeeping gaps still need tidying.
02 / FAQ-ISH
Questions you might care about
Can it keep making money?
So far, yes-ish — but I would not call it proven. Finished trades looked pretty good (profit factor 2.83), while the account itself only climbed about 14%. Those two stories do not fully line up yet, so I am not treating the nicer number as gospel.
Was it mostly luck?
Not pure coin-flip luck. Dropping the best few trades still left the sample in the green, and 11 of 15 weeks were profitable. That said, a handful of symbols and a few big winners did a lot of the heavy lifting — so luck (or concentration) still matters.
Did all the strategy tweaks help?
The system got sturdier for sure: better risk rules, sizing, exits, and fewer silly failures. The P&L path was less tidy. The best stretch was an earlier round of risk tightening, not the latest “manage everything actively” version.
What am I working on next?
Less prompt tinkering, more boring-but-important stuff: cleaner trade books, clearer version tracking, and checks that hold up outside this sample. Until then, the honest take is: promising, not proven.
03 / BY MONTH
Most of the juice came early
Month
Trades
Return
Win rate
PF
2026-05
44
+51.1%
56.8%
5.60
2026-06
40
+34.1%
62.5%
2.27
2026-07
38
+17.8%
34.2%
1.84
2026-08
32
+6.9%
84.4%
11.07
Later months won more often, but each win got smaller. Feels less like “alpha exploding” and more like “take profits quicker, sleep a little better.”
04 / VERSIONS
Reliability improved more than returns
E1
Getting started
LLM calling more of the shots, wider coin list, simpler stop/take-profit habits.
26 trades · +13.8% · PF 4.11
E2
Rules + patience
Best stretch in this sample — clearer entries, less churn, nicer expectancy.
21 trades · +39.6% · PF 6.32
E3
Learning to short
Less long bias, more willing to fade when the market was ugly.
37 trades · +31.9% · PF 2.22
E4
Sessions & sizing
More engineer energy on when and how much to trade. Small sample, mixed results.
10 trades · +5.0% · PF 1.93
E5
Structure context
More support/resistance and ATR context. Also the soft patch in this review.
17 trades · −5.9% · PF 0.55
E6
Bigger-picture filters
Fear/greed, open interest, BTC daily context. Fewer trades, chunkier winners.
12 trades · +20.1% · PF 8.30
E7
Hands-on exits
Partial closes, trailing, faster risk loops. Lots of little wins, smaller average size.
31 trades · +5.6% · PF 9.16
These eras follow nearby code changes, not a perfect deploy diary. Markets changed too — so the best window is not automatically “credit the commit.”