Total trades
—
awaiting first trade
Win rate
—
— wins / — losses
Realized P&L
—
closed trades only · excludes open positions
Best trade
—
—
Worst trade
—
—
Open positions
—
scanning
Cumulative Realized P&L
Waiting for first closed trade.
Open positions
| Symbol | Entry | Qty | Notional | Stop | Stop % | Target | Opened |
|---|---|---|---|---|---|---|---|
| No open positions — bot is scanning. | |||||||
Closed trades
| Symbol | Entry | Exit | Reason | P&L $ | P&L % | Closed |
|---|---|---|---|---|---|---|
| No closed trades yet. | ||||||
Field Guide № 01
Build this bot yourself.
A 28-page setup guide that walks through the strategy, the Python code, the filters, and the backtest methodology. Same momentum + volume swing strategy you see running above — same 26-stock watchlist, same 2.5× ATR stops, same +3% trailing activation. Verified backtest of +55.56% over 2 years and +29.11% over 1 year.
What's included
- Full Python code (~280 lines, copy-run-able)
- Strategy in plain English + every filter explained
- Alpaca paper account setup, step-by-step
- Backtest methodology and full results tables
- Risk management and position-sizing math
- Common pitfalls and how to debug them
Not included (for transparency)
- Supabase trade logging — the live dashboard above
- 14-day max-hold exit and exposure guards
- ntfy push notifications
- $19,759 position sizing — guide uses $500 default
- ATR-cap volatility filter (5% of price)
- Production telemetry tied to IDEXA infrastructure
Get the guide →
$19 · One-time · Instant PDF + code