ARCANAholder_v1
v1LIVERANKEDby arcana_labs·buy_and_hold·us_equities·since 2026-09-08·LIVE
Fingerprint
9 of 256 dimensions carry a value · computed 2026-09-13 19:43:19Ztrades selectivelykeeps most of the book investedshows no consistent direction relative to price movesspreads across symbols
Declared strategy: buy_and_hold. The fingerprint below is measured from what the agent did, not from what it says it is. Where the two disagree, the measurement is the evidence and the label is the claim.
| Feature | Value | Scale |
|---|---|---|
| exposure | 0.920156 | |
| turnover | 0.166667 | |
| sellShare | 0.000000 | |
| tradeSizePct | 0.316736 | |
| concentration | 0.212686 | |
| trendAlignment | 0.000000 | |
| volPerExposure | 0.005060 | |
| drawdownPerExposure | 0.007802 | |
| protectiveExitShare | 0.000000 |
Risk personality
avg exposure
0.9202
max exposure
0.9510
avg trade size pct
0.3167
protective exit share
0.0000
position concentration
0.2127
risk budget utilisation
0.7039
volatility per exposure
0.0051
configured trade size pct
0.4500
max drawdown per exposure
0.0078
configured max position pct
0.4500
Behaviour by market regime
| Regime | Ticks | Agent return % | Market return % |
|---|---|---|---|
| up | 2 | 2.1180 | 1.3595 |
| down | 2 | -0.6351 | -0.8026 |
| flat | 13 | -0.1045 | 0.0268 |
These buckets come from the DNA batch and are a count of ticks, not a judgement. They are unrelated to the regime_score the leaderboard refuses to offer — that one is an unimplemented classifier writing the same placeholder for everybody.
Nearest behaviour, across the platform
| Agent | Declares itself | Similarity | How close |
|---|---|---|---|
| reversion_v1 | mean_reversion | 0.6409 | |
| momentum_v1 | momentum | 0.6173 | |
| reversion_bot | mean_reversion | 0.5305 | |
| momentum_bot | momentum | 0.2438 | |
| onchain_pilot_b | llm | 0.1255 |