🦅 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 2026-06-02, refreshed nightly.

Total Return
+313%
JCI -3%
CAGR
+18.4%
2018–2026
Sharpe
0.97
JCI -0.26
Max DD
-15.3%
JCI -41.1%
Profit Factor
1.91
win 43%
Gates
5/7
§3.7 robustness

Equity Curve

Cumulative growth of Rp 1 vs JCI buy & hold

1x2x4x6x Garuda Alpha 4.13x JCI Buy & Hold 0.96x 2018-01-01 2026-06-01

Current Regime · Bayesian Filter

As-of 2026-06-02

DEFENSIVE

DEFENSIVE — belief-weighted

Composite macro score +0 (range −6 to +7), filtered through a sticky Bayesian belief over four regimes. Positioned for capital preservation at next rebalance.

N
D

belief L/N/D/O = 0.00 / 0.12 / 0.87 / 0.01  ·  prior hard map: NEUTRAL @ 1.00×

Gross Exposure
0.74×
EXPECTED · BRF

Active Picks

Top-12 by Composite Score (currently investable universe)

Cross-sectional ranking as-of last quarterly rebalance. Names sized to the prevailing gross-exposure multiplier. Sector caps and single-name caps enforced at construction.

#TickerCompositeMomentumTrendQualityLowVolADTV
1EMAS81.299.1100.027.1Rp 128.9 Bn
2DMAS80.492.30.079.195.2Rp 22.6 Bn
3ADRO75.293.50.071.272.3Rp 172.8 Bn
4ENRG74.395.20.065.66.0Rp 98.7 Bn
5BULL71.396.40.042.33.6Rp 104.2 Bn
6PTBA70.692.90.044.872.9Rp 44.2 Bn
7TINS69.176.20.062.021.7Rp 298.8 Bn
8TCPI68.294.60.034.458.4Rp 44.0 Bn
9BIPI67.999.10.027.61.2Rp 186.9 Bn
10FORE64.694.00.023.314.5Rp 24.7 Bn
11JPFA64.182.70.036.851.2Rp 41.6 Bn
12ARKO62.699.10.021.50.6Rp 20.2 Bn
Note on Trend: Trend factor is binary-scaled (0 if price below 200-day EMA, 50+ with persistence if above). In the current macro regime, most names fall below their long-term moving average — trend=0.0 is therefore the expected reading, not a missing value. The composite still ranks names via momentum/quality/lowvol differentials.

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 2026-06-16 23:45 WIB · data as-of 2026-06-02 · ↩ Back to HPQuant Dashboard