Paper Trading Dashboard — live data from data/paper/trades.json
Loading data...
Total Trades
—
Open / Closed
—
Win Rate
—
Total P&L
—
Expectancy
—
Sharpe
—
Overview
Trades
IV History
Insights
Learn
Equity Curve (Cumulative P&L)
Drawdown
P&L per Strategy
Date
Asset
Strategy
Dir.
Credit
POP
DTE
Strike
Spot
Status
P&L
Exit
IV History (BTC vs ETH)
Strategy
Trades
Win Rate
Total P&L
Avg P&L
Expectancy
Exit Reasons
Signal
AI Analysis
The 12 strategies the bot knows. Click a card to see the mechanics, the "edge" (the thesis behind it),
and simulate the payoff over time. Strikes below are illustrative (derived from the real delta targets in
config.py, normalized to a reference spot of 100) — not a live chain.
Strategy comparison — theoretical vs. real
Theoretical columns come from the same payoff engine used in the chart below (45% illustrative IV, DTE at
the top of each strategy's range). Real columns come from /api/stats (the same data as the
Insights tab, data/paper/trades.json) — they only populate once the bot has closed trades for
that strategy. Click a header to sort.
Strategy
Direction
Legs
Risk
DTE
Min. IVR
Max. profit (theoretical)
Max. loss (theoretical)
Loss/Profit
Real trades
Real win rate
Real expectancy
—
Simulated day
—
Simulated spot
—
Remaining DTE
—
Simulated P&L
—
Max. profit
—
Max. loss
—
"Synthetic" = a made-up textbook path (bull/neutral/bear). "Real" = actual daily candles for the
BTC/ETH perpetual on Deribit (last 90 days) — shows what actually happened, not a prediction.