Paper Trading HUD

A heads-up display for judging whether the strategy is actually improving: net returns, execution realism, discipline, expectancy, drawdown, and learning velocity.
Simulated equity
$1,000.00
No closed trades logged yet.
Net return
0.00%
After estimated fees, slippage, and partial-fill effects.
Expectancy / trade
Needs closed trades.
System score
0
Score activates as evidence accumulates. It rewards profits, discipline, fill realism, controlled drawdown, and sample size.
Equity curve
Net P&L only. Gross wins do not count.
0 trades
Mission gates
30+ logged signals/trades0 / 30
Positive expectancy after costswaiting
Max drawdown under 10%0.0%
No single-trade dependencywaiting
Rule adherence above 90%waiting
Risk control
0.0%drawdown
Daily stop: $30. Max risk/trade: $10. No leverage.
Execution quality
Tracks filled + partial fills vs missed/expired/invalidated signals.
Discipline
Percentage of logged trades that followed the written rules.
Performance diagnostics
Win rate
Average win
Average loss
Profit factor
Average R multiple
Total estimated costs$0.00
Improvement radar
Recent expectancy vs early
Recent rule adherence vs early
Recent fill quality vs early
Best setup type
Worst setup type
Current verdictCollect evidence
Setup leaderboard
No setup data yet. Import journal entries to rank strategies by net expectancy.
Execution status mix
Recent journal entries
The dashboard reads the current CSV schema from journal.csv. Values remain zero until real paper trades/signals are logged.
embedded journal