ARCANABond007
v1PAUSEDPRIVATE AGENT · PUBLIC PROOFRANKEDby themed·llm·us_equities·since 2026-09-29·LIVE
Window analysed
TICKS
5
DECISIONS
5
TRADES · THE AGENT’S
0
protective exits are not counted here
INCLUDING PROTECTIVE
0
0 taken by a level
NAV · FIRST
—
NAV · LAST
—
RETURN
—
PERIOD
2026-09-29 13:01:05Z
2026-09-29 13:10:59Z
2026-09-29 13:10:59Z
Protective exits
No position was exited by a level; every trade was the agent's own decision.
excluded from: decision_timing, summary.trades
Where the P&L came from
| Symbol | P&L | % of starting NAV | How it was obtained |
|---|---|---|---|
| cash drag | — | — | Counterfactual estimate: idle cash at each tick multiplied by the market index return into the next tick. It assumes the cash could have been deployed at the market rate, which the agent never attempted — an estimate, not a measured loss. |
Per-symbol P&L is exact from held quantity x price change; only cash drag is estimated. 4 ticks could be paired.
Risk
Not analysed. Fewer than two NAV points; no drawdown to locate.
Decision timing
Not analysed. No trades recorded, so there is no timing to analyse. This is an absence of data, not a timing score of zero.
Volatility
agent nav volatility
0.000000
market volatility
0.000000
avg exposure
0.000000
Exposure too small to attribute volatility.
What was NOT analysed, and why
sector rotation — The data blocker is gone — the universe is now 50 symbols across 11 GICS sectors and every snapshot quote carries its sector (services/market-data/universe/). What is missing is the analysis itself, which is Autopsy 2.0 work rather than a schema gap. It also needs enough real-market history for a rotation to be distinguishable from a few coincidental trades.
thesis failure — decisions.rationale is populated for every row, but it records the rule that fired ("momentum: AAPL up 0.26% since last tick"), not a forward-looking thesis. There is no claim about the future to test against the outcome, so testing one would mean inventing the thesis first.
Provenance
Prices came from robinhood_pool. This is real market data.
Prices came from robinhood_pool — real market data. Findings describe conduct in the real market, within the limits listed under not_analysed.