🦅 Garuda Alpha · Flagship Strategy
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⭐ Flagship Strategy

Garuda Alpha — Live State

Cross-sectional momentum on IDX. Survivorship-safe, walk-forward validated, with a Bayesian regime-filter overlay. Data as-of 2026-10-16, refreshed nightly.

Total Return
+314%
JCI -18%
CAGR
+17.5%
2018–2026
Sharpe
0.90
JCI -0.35
Max DD
-15.4%
JCI -43.2%
Profit Factor
1.94
win 43%
Gates
4/7
§3.7 robustness

Equity Curve

Cumulative growth of Rp 1 vs JCI buy & hold

1x2x4x6x Garuda Alpha 4.14x JCI Buy & Hold 0.82x 2018-01-01 2026-10-16

Current Regime · Bayesian Filter

As-of 2026-10-16

DEFENSIVE

DEFENSIVE — belief-weighted

Composite macro score -1 (range −6 to +7), filtered through a sticky Bayesian belief over four regimes. Positioned for capital preservation at next rebalance.

D
O

belief L/N/D/O = 0.00 / 0.02 / 0.89 / 0.09  ·  prior hard map: DEFENSIVE @ 0.70×

Gross Exposure
0.68×
EXPECTED · BRF

Active Picks

Top-12 by Composite Score (currently investable universe)

Screening recomputed nightly on latest prices (as-of 2026-10-16) — portfolio execution only at quarterly rebalance: last 2026-10-01 · next 2027-01-01 (first trading day of quarter). Names sized to the prevailing gross-exposure multiplier. Sector caps and single-name caps enforced at construction.

#TickerCompositeMomentumTrendQualityLowVolADTV
1MARK92.498.8100.094.964.6Rp 16.2 Bn
2BSSR88.798.2100.077.270.1Rp 15.3 Bn
3TAPG85.088.499.298.736.6Rp 29.0 Bn
4DMAS84.397.691.798.126.2Rp 21.7 Bn
5ULTJ83.799.483.377.861.6Rp 47.4 Bn
6AADI81.691.596.773.451.8Rp 102.9 Bn
7EMAS77.579.381.7100.034.1Rp 75.6 Bn
8PTBA69.890.273.343.762.8Rp 124.0 Bn
9AALI68.592.784.221.567.1Rp 22.3 Bn
10ERAA63.2100.090.88.230.5Rp 52.5 Bn
11LSIP60.282.30.090.561.0Rp 15.9 Bn
12BBCA57.962.20.097.576.8Rp 1009.6 Bn
Note on Trend: Trend factor is binary-scaled (0 if price below 200-day EMA, 50+ with persistence if above). Currently 83% of the picks trade above their 200-day EMA, so Trend reads ~50 almost uniformly and adds little discrimination — the ranking is driven by momentum/quality/lowvol differentials. Trend re-asserts itself as a filter when the regime turns.

Validation

Walk-Forward Robustness (7 windows, expanding in-sample)

Canonical factor weighting wins every in-sample window. Mean out-of-sample Sharpe: +0.81. Refit per window does not beat the fixed canonical — strong evidence the strategy is not curve-fit.

WindowOOS PeriodIS WinnerIS SharpeOOS Sharpe
WF12019-01-01 → 2019-12-31canonical+0.78-0.31
WF22020-01-01 → 2020-12-31canonical+0.40+1.70
WF32021-01-01 → 2021-12-31canonical+0.76+1.30
WF42022-01-01 → 2022-12-31canonical+0.89+1.25
WF52023-01-01 → 2023-12-31canonical+0.94-0.58
WF62024-01-01 → 2024-12-31canonical+0.77+0.13
WF72025-01-01 → 2026-06-02canonical+0.69+2.20

Documentation

Full Methodology & Operations

Deep-dive thesis documents and operational playbook. All data-driven, regenerated from the live backtest.

Generated 2026-10-16 21:59 WIB · data as-of 2026-10-16 · ↩ Back to HPQuant Dashboard