πŸ“Š PulseScope Correlation Study

50 tickers Β· 2971 observations Β· 2025-11-21 β†’ 2026-02-23 Β· Generated 2026-02-24 02:05
🎯
Best Composite Correlation
T+5
ρ = -0.0594 (p = 0.0022)
πŸ†
Cross-Ticker Spread (T+5)
-0.7%
Win Rate: 49% Β· Long top / Short bottom
⚑
Strongest Component
Event Risk
ρ = 0.1202 at T+5
πŸ’°
Best Score Level
Bearish (<30)
+$13.97 per $1K at T+5

1. Composite Score β†’ Forward Returns

Does a higher PulseScore today predict higher returns?

HorizonSpearman ρp-valuePearson rObservationsPer-Ticker Mean ρ
T+1 β€” -0.0198 0.2899 -0.0193 2869 -0.0609
T+5 ⭐️ βœ… -0.0594 0.0022 -0.0581 2669 -0.1657
T+10 βœ… -0.0432 0.0337 -0.0228 2421 -0.2082
T+20 β€” 0.0301 0.1859 0.0406 1931 -0.2617

Score vs Return Scatter

2. Component Predictive Power

Which sub-scores carry the most alpha?

ComponentT+1T+5T+10T+20
Short Squeeze-0.16480.00710.5489N/A
Technical Momentum0.04100.0967-0.5342N/A
Fundamental Trend-0.0323-0.0510N/AN/A
Broad Sentiment-0.13500.06350.3939N/A
Event Risk0.06550.1202N/AN/A
MacroN/AN/AN/AN/A

Component Heatmap

3. Score Level β†’ ROI

$1K invested at each score level β€” what do you make?

Score LevelCountT+5 ReturnT+10 ReturnT+5 P&L ($1K)T+5 Win Rate
Bearish (<30) 532 +1.40% +0.83% +$13.97 50.8%
Cautious (30-50) 1538 -0.04% +0.25% $-0.39 50.3%
Bullish (50-70) 816 +0.00% +0.07% +$0.01 50.9%
Strong Bull (70+) 33 -3.46% -2.45% $-34.62 57.6%

ROI Buckets

4. Score Change Momentum

Do big score jumps predict price moves?

Score ChangeCountT+10 ReturnT+5 ReturnT+5 P&L ($1K)Win Rate
(-52.001, -2.0] 659 -0.15% +0.11% +$1.07 49.4%
(-2.0, 0.0] 1466 +0.61% +0.37% +$3.71 53.0%
(0.0, 2.0] 202 -1.37% +0.31% +$3.13 45.5%
(2.0, 50.0] 542 -0.57% -0.63% $-6.33 44.6%

Momentum Quintiles

5. Score Trend Reversal

Low→rising = buy signal, High→falling = sell signal

🟒 Buy Signal (Score ↑ Crosses MA)

HorizonCountAvg ReturnWin RateP&L ($1K)
T+1318+0.69%57.2%+$6.90
T+5 ⭐️290+0.28%46.6%+$2.82
T+10264+0.56%48.9%+$5.55
T+20215+0.29%47.9%+$2.89

πŸ”΄ Sell Signal (Score ↓ Crosses MA)

HorizonCountAvg ReturnDrop RateAvoided Loss
T+1347+0.25%43.5%$-2.53
T+5 ⭐️329+0.40%46.8%$-3.98
T+10302+0.98%47.4%$-9.76
T+20249+1.03%48.2%$-10.31

πŸ”΅ Recovery Buy (Low Score + 10pt Rise)

HorizonCountAvg ReturnWin RateP&L ($1K)
T+1149-0.47%40.3%$-4.69
T+5 ⭐️136-2.20%39.7%$-21.97
T+10118-3.08%37.3%$-30.81
T+2078-5.71%39.7%$-57.11

Reversal PnL

6. Cross-Ticker Ranking (Long/Short)

Long top-scored tickers, short bottom-scored β€” daily

HorizonTop QuintileBottom QuintileSpreadWin RateL/S P&L ($1K)
T+1 +0.14% +0.25% -0.12% 55.9% $-1.19
T+5 ⭐️ +0.43% +1.14% -0.71% 49.1% $-7.10
T+10 +0.94% +1.07% -0.13% 56.0% $-1.26
T+20 +3.88% +0.98% +2.90% 75.0% +$28.98

Score ↔ Price Overlay

Top tickers by data coverage β€” normalized score vs price

Time Series Overlay

Per-Ticker Correlation Distribution

Ticker Correlation Histogram

πŸ“‹ Recommendations

Increase weight for Event Risk β€” strongest predictive correlation at T+5 (ρ=0.1202).
Review Macro β€” weakest signal (ρ=0.0000) at T+5. Consider reducing weight or improving data quality.
Bearish (<30) is the optimal entry zone β€” best risk-adjusted T+5 returns.