Public Transparency — ScholarTrade

Founded by Dr Scott I-Patrick. This page is intentionally public and read-only. It shows what the system is doing (and what it is not doing), using data served from the live deployment.
Proxy: … Engine: … Guide Ops Console
Mode: Env: Last update: Data source: Commit: Fresh:
Equity
Total account equity (as persisted by the engine)
Daily PnL
PnL since the day start anchor in the engine
Drawdown
Current drawdown ratio (for monitoring only)
Open positions
Count of open positions in the dashboard DB snapshot
Equity curve
Return: Max DD:
Source: /api/performance_history. Client-side downsampling.
System status & provenanceRead-only
Operational truth: values come from live endpoints and persisted DB snapshots.
Provenance: upstream
Build:
Environment clarity: switch between testnet and production.
Config & risk (sanitized)/api/config
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Synthetic self-test/api/audit/summary
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Meta brain status/api/meta/status
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Selected strategies (by symbol):
Blocked shadow signals (recent)/api/meta/shadow_signals
What this means: Total = number of trade candidates a strategy suggested. Blocked = how many were stopped by the safety gate before any order would be placed. A Blocked value of 0 usually means “allowed”, not “executed”.
Strategy Total Blocked Blocked % Last
Meta strategy scoreboard/api/meta/scoreboard
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Strategy Evaluated Win rate Avg return Score Last eval
Recent trades (read-only)
Time Symbol Side Qty Price Fees Strategy Reason
Methodology & risk disclosureImportant
  • Trading is risky. Drawdowns and losses are possible, including total loss.
  • Backtests are not guarantees. Historical performance does not predict future results.
  • Data sourcing: This dashboard reads from persisted snapshots written by the running engine.
  • Safeguards: Risk limits exist in the engine (daily loss limits, drawdown circuit breakers, etc.).