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SillySportsDash
Sports control room
Quantitative research
Read-only
Paper trades only
Market research

Research Lab

+EV opportunities, observation history and simulated performance from the fair-value research pipeline. The Python backend owns every quantitative value — fair probability, edge, expected return, settlement and P&L — and this dashboard presents them read-only. Nothing here places a wager.

Total net P&L

+$54.60

Simulated stake deployed: $400.00

Return on stake

+13.7%

Backend-computed net P&L divided by total simulated stake.

Open paper trades

1

4 settled trades in the reported window.

Settled breakdown

1W / 1L

1 push · 1 void · paper trades only.

Performance
Cumulative simulated P&L

Bucketed by day from the backend series. Values are paper results after fees.

+$54.60$0.00Sep 17: +$54.60 (4 settled)Sep 17
BucketBucket P&LCumulativeTrades settled
Sep 17+$54.60+$54.604
Reporting window
Sep 18, 2026 ET → Sep 18, 2026 ET

Won 1 · Lost 1 · Push 1 · Void 1

P&L, return and settlement values are computed by the Python backend. The dashboard sorts and formats them only — it never re-derives trade maths.

Synthetic fixtures
Synthetic seed data
RESEARCH_API_BASE_URL not set
Data source

This section is running on deterministic synthetic fixtures that mirror the backend contract exactly. No quantitative value here is live or tradeable.


Fetched2026-10-08T21:55:09.215Z
Backend statusok · schema 2026-09-18-v1
Last ingest · owls_insightSep 18, 2:00 AM ET
Fields the backend does not yet expose are requested in docs/API_CONTRACT_REQUESTS.md rather than invented here. See docs/INTEGRATION_STATUS.md for convergence status.