Structured JSON API for this factor page: https://sharemaestro.com/factors/api/
Factor Intelligence
Live
5070
All Stocks (>$200M)
12
Market Leaders
29
Tiny Titans
308
Veiled Value
1247
5yr+ Earners
481
Trending Value
711
Quality Bargains
487
Deep Value
1230
High Conviction
2255
Dividend Payers
892
Yield ≥ 3%
Value × Quality Scatter
Top-right = cheap + high quality. Click any dot to open its page. Showing 1510 names.
Top 50%
High Momentum
Medium Momentum
Factor Combinations
Which factors to combine for maximum edge — and which to avoid doubling up
12
Diversifying Pairs
8
Redundant Pairs
0
Anti-Correlated
Factor Combinations
Which factors to combine for maximum edge — and which to avoid doubling up
12
Diversifying Pairs
8
Redundant Pairs
0
Anti-Correlated
Correlation Intelligence
Correlation Heatmap
Blue = uncorrelated (combine). Red = redundant (pick one).
Strategy Pair Correlations
Lower bar = less overlap = more diversification benefit.
Best Factor Triples
Avg pairwise |ρ|. Lower = more independent = higher alpha potential.
Signal Dispersion & Pair Analysis
Signal Dispersion Score
Higher score = the signal is separating stocks more strongly. Tooltips show P10, median, and P90.
Redundant Pairs
High correlation = overlapping signals. Using both adds little edge.
Diversifying Pairs
Near-zero or negative correlation = independent signals. These combos add real alpha.
O'Shaughnessy Factor Strategies — What the Correlations Tell Us
Trending Value
ρ=-0.067
Strict O'Shaughnessy construction: cheapest VC2 cohort paired with 6M momentum leadership.
Anti-correlated
→ Screen This Strategy
Quality at a Price
ρ=0.101
Low correlation: cheap stocks aren't high quality — combining filters value traps.
Low overlap
→ Screen This Strategy
EBITDA/EV + Piotroski
ρ=0.128
Best single value factor + health screen. Low overlap = genuine signal combination.
Low overlap
→ Screen This Strategy
SH Yield + Momentum
ρ=0.115
Cash return + price confirmation. Different signals, powerful combination.
Low overlap
→ Screen This Strategy
△ Top Factor Triples — Maximum Independence
#1
Momentum 6M + Quality% + VC2
Avg |ρ|0.076
Max |ρ|0.094
Momentum 6M ↔ Quality%: 0.094 · Momentum 6M ↔ VC2: -0.067 · Quality% ↔ VC2: 0.066
★ Optimal
#2
Momentum 6M + Quality% + Value%
Avg |ρ|0.091
Max |ρ|0.101
Momentum 6M ↔ Quality%: 0.094 · Momentum 6M ↔ Value%: -0.077 · Quality% ↔ Value%: 0.101
★ Optimal
#3
F-Score + Momentum 6M + Value%
Avg |ρ|0.116
Max |ρ|0.211
F-Score ↔ Momentum 6M: 0.211 · F-Score ↔ Value%: 0.06 · Momentum 6M ↔ Value%: -0.077
★ Strong
#4
F-Score + Momentum 6M + VC2
Avg |ρ|0.118
Max |ρ|0.211
F-Score ↔ Momentum 6M: 0.211 · F-Score ↔ VC2: 0.077 · Momentum 6M ↔ VC2: -0.067
★ Strong
#5
EBITDA/EV + Momentum 6M + Quality%
Avg |ρ|0.12
Max |ρ|0.153
EBITDA/EV ↔ Momentum 6M: -0.113 · EBITDA/EV ↔ Quality%: 0.153 · Momentum 6M ↔ Quality%: 0.094
★ Strong
⚡ Factor Momentum — Expanding or Contracting?
Value%
↑ Expanding
Δ +0.0004
Quality%
↑ Expanding
Δ +0.0011
Momentum%
↓ Contracting
Δ -0.0127
OS Blend
↓ Contracting
Δ -0.0016
Expanding value = median value yields improving. Expanding momentum = trends working.
Value
P/E · P/S · P/B · P/CF · EBITDA/EV · Shareholder Yield · VC2
Value
P/E · P/S · P/B · P/CF · EBITDA/EV · Shareholder Yield · VC2
1058
829
937
P/E <15 (cheap)
P/E 15-30 (fair)
P/E >30 (expensive)
Med EY: 5.61%
%Earnings Yield
▓VC2 Composite
≡P/E Histogram
19.6×
Med P/E
2.0×
Med P/S
1.8×
Med P/B
11.4×
Med P/CF
7.8%
EBITDA/EV
1058
P/E < 15
1101
P/B < 1
1339
P/S < 1
937
P/E > 30
0.74%
Med SH Yield
5.44%
Med FCF Yield
2.33%
Med Div Yield
Quality
ROE · ROA · Margins · F-Score · Accruals · D/E · Stability
Quality
ROE · ROA · Margins · F-Score · Accruals · D/E · Stability
944
2661
1460
F-Score ≥7 (strong)
F-Score 4-6 (neutral)
F-Score ≤3 (weak)
Profitable: 2794 / 4969
RROE Distribution
⚑F-Score Distribution
Strong (≥7): 944
Weak (≤3): 1460
◎Signal Confidence
High: 4383Med: 572Low: 115
13
≤30 days
15
31–60 days
30
61–90 days
5012
>90 days
Median data age: 200d
5.3%
Med ROE
1.1%
Med ROA
7.2%
Med Op Margin
3.8%
Med Net Margin
2794
Profitable
1766
Unprofitable
1.2×
Med D/E
1.75×
Current Ratio
-4.5%
Accrual Ratio
Momentum
6M · 12M · 12-1 · Risk-Adjusted · Breadth · Growth
Momentum
6M · 12M · 12-1 · Risk-Adjusted · Breadth · Growth
2689
2020
12M positive (57.1%)
12M negative
6M Breadth: 52.2%
≡12M Return Distribution
∿Volatility Distribution
▧Sector Breakdown
57.1%
12M Breadth
52.2%
6M Breadth
7.0%
12M Med Return
1.3%
6M Med Return
0.15
Risk-Adj Mom
104.6%
60d Vol
48.1%
252d Vol
4904
Vol Expanding
2797
Severe DD >30%
6.7%
Rev Growth Med
11.7%
Earn Growth Med
968
Rev > 20%
OS Composite
Value × Quality × Momentum — the unified O’Shaughnessy score
OS Composite
Value × Quality × Momentum — the unified O’Shaughnessy score
419
1616
1103
1891
Vol <20% (low risk)
20-40%
40-60%
60%+ (high risk)
Med Vol: 48.1%
≡Sector 12M Returns
◔Market Cap Mix
▥Factor Scores by Cap
48.1%
Med Vol
-100.0%
Worst DD
419
Vol <20%
1616
Vol 20-40%
1103
Vol 40-60%
1891
Vol 60%+
2063
Net Repurchasers
1571
Net Issuers
⚠
25 Value Traps Detected
Cheap stocks with deteriorating fundamentals
View Full Analysis →
Sector Intelligence
Factor tilts, valuation, quality, and risk by sector — where the opportunities concentrate
Sector Intelligence
Factor tilts, valuation, quality, and risk by sector — where the opportunities concentrate
Value vs Quality by Sector (higher = better)
Risk vs Return by Sector
Valuation by Sector (P/E)
Profitability (ROE) by Sector
Shareholder Yield by Sector
Leverage (D/E) by Sector
Sector
N
Value %
Quality %
Mom %
OS %
P/E
P/B
ROE
SH Yield
FCF Yield
D/E
F-Score
12M Mom
Vol
Max DD
TV
V-Q Gap
990
61.6%
56.3%
51.4%
62.4%
14.0
1.33
9.1%
2.55%
6.39%
4.54
5.0
13.7%
32.9%
-15.2%
103
+5.3
958
42.1%
44.5%
51.5%
43.2%
25.2
3.1
-30.6%
-0.41%
-6.4%
0.53
4.0
8.8%
85.8%
-45.1%
28
-2.4
702
37.8%
51.2%
46.1%
39.4%
30.5
3.3
3.4%
0.16%
4.16%
0.82
5.0
-9.6%
84.7%
-46.5%
55
-13.4
636
41.7%
47.6%
51.4%
43.0%
28.3
2.7
8.1%
0.81%
5.26%
1.22
5.0
6.9%
94.0%
-33.4%
39
-5.9
498
53.8%
45.3%
44.3%
50.1%
20.7
1.74
5.7%
2.11%
8.14%
1.54
5.0
-2.4%
66.5%
-38.5%
69
+8.5
248
54.9%
51.8%
41.8%
51.6%
14.9
1.43
4.6%
0.97%
7.96%
1.11
5.0
-6.8%
72.8%
-40.6%
56
+3.1
247
39.4%
44.4%
48.8%
38.9%
26.1
1.26
4.9%
3.46%
5.35%
1.44
5.0
12.7%
38.3%
-18.2%
14
-5.0
226
66.4%
54.5%
63.5%
69.7%
15.9
1.75
10.9%
3.33%
15.58%
1.11
5.0
33.0%
48.3%
-23.6%
51
+11.9
224
56.0%
46.9%
55.6%
54.3%
18.0
1.76
6.0%
1.07%
9.22%
0.85
5.0
11.6%
64.8%
-35.4%
18
+9.1
218
56.5%
48.9%
37.9%
50.5%
17.2
1.99
6.6%
2.4%
8.79%
1.27
5.0
-7.8%
63.8%
-35.4%
39
+7.6
Score Movers
Biggest OS score changes — who's improving, who's declining
Score Movers
Biggest OS score changes — who's improving, who's declining
↑ Score Improving
Top 10| Ticker | Sector | OS Score | Δ Change | 52w |
|---|---|---|---|---|
| SLSN | Consumer Defensive | 0.0% | +73.000 | |
| ABTC | Financial Services | 10.0% | +70.000 | |
| ABEO | Healthcare | 7.0% | +70.000 | |
| STG | Consumer Defensive | 19.0% | +69.000 | |
| INR | Energy | 23.0% | +66.000 | |
| IFRX | Healthcare | 13.0% | +64.000 | |
| EARN | Financial Services | 24.0% | +59.000 | |
| SSSS | Financial Services | 33.0% | +55.000 | |
| SSMR | Basic Materials | 19.0% | +51.000 | |
| SMFG | Financial Services | 19.0% | +51.000 |
↓ Score Declining
Top 10| Ticker | Sector | OS Score | Δ Change | 52w |
|---|---|---|---|---|
| TC | Communication Services | 77.0% | -73.000 | |
| AHG | Healthcare | 73.0% | -72.000 | |
| ATGL | Technology | 73.0% | -71.000 | |
| ARQQ | Technology | 72.0% | -71.000 | |
| FEAM | Basic Materials | 75.0% | -70.000 | |
| CIG | Utilities | 95.0% | -69.000 | |
| TXNM | Utilities | 74.0% | -68.000 | |
| ATHE | Healthcare | 80.0% | -64.000 | |
| ABLV | Consumer Cyclical | 74.0% | -64.000 | |
| AXIN | Financial Services | 71.0% | -64.000 |