All-time cumulative return
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Sprout
SPY
How it works
01 — Adaptive Learning
Inspired by years of real trading experience, Sprout continuously backtests new strategy ideas against years of historical data using various machine learning techniques. When market conditions change, Sprout is optimized to adapt — not break.
02 — Fully Automated
All trades are automatically placed intraday and resolved by market close. Zero manual intervention — Sprout runs while you go about your life.
03 — Daily Reporting
Your balance and P&L are refreshed every day after market close. Check in anytime to see exactly how your account is growing.
All-time return
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YTD return
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This month
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Statistics · since Sep 2024
Annualized return
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Win rate ↑ SPY
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SPY green day
Avg gain %
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Biggest win
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Sharpe ratio
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Max drawdown
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Win rate
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Win rate ↓ SPY
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SPY red day
Avg loss %
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Biggest loss
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Total trades
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Max loss streak
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red days in a row
Cumulative Percentage Return
Sprout
SPY benchmark
Max drawdown over time
Peak-to-trough decline in cumulative return
green band: Sprout's drawdown < SPY
red band: Sprout's drawdown > SPY
green band: Sprout's drawdown < SPY
red band: Sprout's drawdown > SPY
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vs SPY —
Return distribution
Monthly return (%)
click a bar to view daily returns
Daily return
click a month above to inspect
Hello
Opening balance
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Current balance
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Net P&L
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Annualized & Total Return
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Account equity
Transaction history
| Date ↓ | Type | Amount |
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Client Summary
All accounts
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| Client ID | Name | Net Contributions | Net P&L | Total Return | |
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All Trades
trade_details — raw data
Show
| Date | N | Ticker | Buy Time | Sell Time | Buy $ | Qty | Cost | Sell $ | Net | % | Strategy | Notes |
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Events
Chronological event log
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| # | Date | Name | Event | Amount |
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