Loading insights…
— agents · — tools · Gemini Flash
Welcome to SentinelHub. I'm the AI Strategy Advisor — I coordinate 9 specialist agents to help you analyse markets, build strategies, and manage risk.
Ask me about market conditions, your portfolio, trading strategies, or past performance.
Powered by Gemini Flash · Connects to Alpaca, MongoDB, Phoenix
End-of-day reflection (L5). The engine partitions outcomes by strategy × sector × regime, attributes the congruence of factors, and proposes the next deployment's parameters.
Real-time MongoDB Atlas corpus counts + headline performance for this view. Reflection-insights engine reads these every cycle to compute per-strategy × sector × regime cohort attribution.
Decisions analysed
0
decision corpus · not closed trades
Closed Trades
0
Market Snapshots
0
Win Rate
—
Total P&L (R)
—
Decision funnel, strategy selectivity, and portfolio value
Evaluated
0
Total ticker evaluations
Skipped
0.0%
0 of 0
Selectivity
0.00%
0 entered/held
Closed
0
0W / 0L
Win Rate
—
—
Portfolio
—
Current equity
Which sectors received the most agent attention (decisions + entries)
Loading sector data...
How market conditions influenced trading decisions
Loading regime data...
Per-strategy recommendation cards. The reflection engine attributes outcomes by cohort, Gemini narrates the evidence into a Proposal, and the operator applies or rejects it for the next deployment.
Loading reflection insights…
Each stage feeds the next. Click any stage to filter the proposals panel below. The flywheel turns once per parameter change — and the L5 UVP is the moat that turns it.
Counts: Decide / Annotate / Score = today (UTC). Reflect = proposals created today. Propose = currently open proposals. Approve / Apply = revisions accepted today.
Loading the human-in-the-loop feedback signal...
Generated by the reflection agent after analysing trade outcomes — served from MongoDB API
No proposals yet — the reflection agent will generate proposals after analysing trade outcomes.