Quant Eidolon

Backtests

Historical simulation

Multi-year research curves for the paper-book target mix. This is not the Live Paper desk. Live results will differ.

Window · 01 Jan 201817 Jul 2026

Updated 17 Jul 2026 · historical simulation

Paper book (Alpaca 75% + FX 25%)

Alpaca sleeve mix at 75% of capital; FX desk 25%.

Full sample

Sharpe
1.514
CAGR
19.22%
Vol
11.65%
Max DD
-15.53%

Out of sample (from 2024)

Sharpe
1.189
CAGR
12.28%
Vol
10.08%
Max DD
-11.05%

Equity curve

Weekly marks, indexed from 100,000. Toggle combined book vs Alpaca-only.

Alpaca sleeves only

Full sample

Sharpe
1.455
CAGR
23.98%
Vol
15.04%
Max DD
-25.05%

Out of sample (from 2024)

Sharpe
1.265
CAGR
17.00%
Vol
12.98%
Max DD
-12.28%

Sleeves

Full-sample and out-of-sample metrics per sleeve. Allocations match the current paper-book targets. See Strategies for plain-English blurbs.

SleeveAllocSharpeCAGRMax DDOut-of-sample Sharpe

PEAD

alpaca

30%of Alpaca1.00321.5%-33.8%1.146

Crypto breakout

alpaca

20%of Alpaca0.86226.6%-49.4%0.061

VIX reversion

alpaca

20%of Alpaca1.24725.9%-26.4%1.497

Equity momentum

alpaca

12%of Alpaca0.90924.6%-42.9%1.313

Risk parity

alpaca

10%of Alpaca0.6705.3%-19.1%1.319

Crypto vol core

alpaca

5%of Alpaca0.66416.7%-39.9%0.265

Crypto BTC relative

alpaca

3%of Alpaca0.55015.6%-57.6%0.525

FX macro desk

oanda

25%of total0.3794.3%-22.1%-0.105

Crypto momentum

alpaca · parked

0%of Alpaca0.66525.9%-81.2%-0.093

Methodology

Daily sleeve returns from the same engines that run the paper book. The combined curve weights the Alpaca sleeve mix at 75% of total paper capital and the FX desk at 25%. Transaction costs are included in each sleeve. Out-of-sample metrics use 2024 onward. Equity curves are weekly and start at 100,000.

Closer to realism

  • Next-day P&L on prior weights (no same-bar free lunch)
  • Costs scale with turnover; crypto heavier than equities
  • Leverage and size caps; rebalance frequency matches sleeve
  • Book built from the same sleeve engines and current target weights (75% Alpaca / 25% FX)
  • Research filters (out-of-sample, correlation, max drawdown). The published book is not every in-sample curve

Still not fully realistic

  • Daily close-to-close bars; no intraday path or partial fills
  • Slippage is a flat percent. Real impact rises with size and illiquidity
  • No borrow / short locate (fine for this long-biased book)
  • Crypto weekends and FX alignment are approximations
  • Paper is not live: optimistic fills; no halts, fat-fingers, or API downtime
  • Survivorship and data vendors are imperfect

Questions on the research book, or soft interest as an allocator, builder, or learner?

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