Model accuracy

Model accuracy

Measured walk-forward on real history — we don’t cherry-pick winners. The weak numbers are shown as they are.

Walk-forward results · US · every model disclosed

Market US

ModelPrice toward value in 12 mo.nBelow floor: excess return, 12 mo.
Lynch Fair Value43.6%296-4.9% (n=58)
Sector P/E41.2%1,475-4.8% (n=496)
Buffett DCF40.4%374+1.0% (n=48)
Shiller CAPE38.9%496-7.0% (n=76)
Nash NCAV36.6%1,830+21.2% (n=53)
Greenblatt Magic35.6%1,378-1.1% (n=165)
Pabrai 10x35.5%1,517+0.4% (n=122)
Gordon DDM35.0%1,091-3.5% (n=9)
Justified P/E34.3%1,465+5.8% (n=77)
Graham Number34.1%1,379+3.6% (n=69)
Graham NCAV33.8%216+3.6% (n=2)
Schloss Net-Net33.3%216+3.6% (n=2)

Market Thailand (SET)

ModelPrice toward value in 12 mo.nBelow floor: excess return, 12 mo.
Schloss Net-Net61.7%2,599+17.0% (n=80)
Gordon DDM61.4%3,154+12.2% (n=158)
Graham NCAV58.9%2,599+6.0% (n=209)
Justified P/E55.6%4,903+6.7% (n=673)
Greenblatt Magic53.0%3,833+1.3% (n=802)
Buffett DCF52.6%3,755-4.0% (n=1,068)
Sector P/E52.5%3,834+2.3% (n=862)
Pabrai 10x51.9%4,041-2.9% (n=895)
Nash NCAV51.1%4,827+6.8% (n=1,396)
Graham Number49.2%3,832+2.6% (n=1,107)
Lynch Fair Value48.7%1,638-2.9% (n=668)
Shiller CAPE45.2%4,074+1.3% (n=2,268)

Market US

ModelPrice toward value in 12 mo.nBelow floor: excess return, 12 mo.
Lynch Fair Value62.5%8+32.0% (n=6)
Graham Number57.9%57+16.8% (n=22)
Sector P/E56.1%57+2.3% (n=36)
Greenblatt Magic56.1%57+25.9% (n=21)
Pabrai 10x51.7%58-1.7% (n=16)
Justified P/E43.9%66+23.2% (n=15)
Shiller CAPE42.1%19+24.7% (n=9)
Nash NCAV34.5%55-15.6% (n=4)
Graham NCAV33.3%15
Schloss Net-Net33.3%15
Gordon DDM25.0%32
Buffett DCF9.1%11+8.2% (n=2)

DAVI Score composite · USv1 (equal vote across models) vs v2 (weighted by measured accuracy)

Measured walk-forward over the same window (2022→now): hit = the 12-month peak after entry ≥ +20% · the numbers show whether a higher score really means a higher hit rate — not a forecast.

v1 — raw votes

0 votes53.1%n=1,485
1-2 votes58.7%n=639
3-5 votes60.2%n=231
6-8 votes76.9%n=26
9+ votes (DAVI Score top)88.9%n=18

v2 — accuracy-weighted (live)

0% weighted votes53.5%n=1,731
1-25% weighted votes60.8%n=507
26-50% weighted votes61.7%n=115
51-75% weighted votes70.0%n=20
76-100% weighted votes (top)69.6%n=23

DAVI Score composite · THv1 (equal vote across models) vs v2 (weighted by measured accuracy)

Measured walk-forward over the same window (2022→now): hit = the 12-month peak after entry ≥ +20% · the numbers show whether a higher score really means a higher hit rate — not a forecast.

v1 — raw votes

0 votes29.4%n=780
1-2 votes28.9%n=1,078
3-5 votes38.1%n=767
6-8 votes40.7%n=472
9+ votes (DAVI Score top)48.1%n=243

v2 — accuracy-weighted (live)

0% weighted votes27.5%n=1,555
1-25% weighted votes35.6%n=582
26-50% weighted votes38.9%n=463
51-75% weighted votes41.6%n=385
76-100% weighted votes (top)47.5%n=326

DAVI Score composite · KRv1 (equal vote across models) vs v2 (weighted by measured accuracy)

Measured walk-forward over the same window (2022→now): hit = the 12-month peak after entry ≥ +20% · the numbers show whether a higher score really means a higher hit rate — not a forecast.

v1 — raw votes

0 votes60.0%n=20
1-2 votes40.0%n=20
3-5 votes94.4%n=18
6-8 votes100.0%n=4

v2 — accuracy-weighted (live)

ML Ranking Model (XGBoost v1)

Went live May 2026 — the live history is still too short to judge 12-month forecast accuracy. First 2–5 week rank-IC (Spearman): US -0.019 (a value near 0 = no forecast signal yet in the short window). We’ll keep reporting this every month as it is, good or not.

Computed 10 Jun 2026

Backtested results are not investment advice and do not guarantee future outcomes · a hit-rate near 50% = no different from random.

Past accuracy does not guarantee future results · DAVI is an educational calculation tool, not investment advice.