π―
Best Composite Correlation
T+10
Ο = -0.0512
(p = 0.0001)
π
Cross-Ticker Spread (T+10)
-0.5%
Win Rate: 46% Β· Long top / Short bottom
β‘
Strongest Component
Fundamental Trend
Ο = 0.1704 at T+10
π°
Best Score Level
Strong Bull (70+)
+$34.85 per $1K at T+10
π Quick Translation (ELI5 Glossary)
Because data science terms can be confusing, here is what this report actually means:
- Spearman / Pearson (Correlation): A score from -1 to 1. 1 means the score perfectly predicts the price going up. 0 means it's a random guess. -1 means the score predicts the exact opposite.
- p-value (p=): The chance this result is just pure luck. We want this to be below 0.05.
- Observations (n): The number of times we saw this matching pattern in our dataset.
- T+1, T+5, etc.: Trading days. "T+5 Return" is what the stock did 5 trading days (about 1 week) later.
- Score up crosses MA: Our bullish signal where the score breaks above its own 7-day average.
- Low score + 10pt rise: "Recovery Buy", the score was in the dumps (<50), but suddenly jumped 10 points.
- N/A Values: You will see N/A if there wasn't enough historical data recorded to test a specific scenario (common for newer metrics like Fundamental Trend).
1. Composite Score β Forward Returns
Does a higher PulseScore today predict higher returns?
| Horizon | Spearman Ο | p-value | Pearson r | Observations | Per-Ticker Mean Ο |
| T+1 β |
-0.0110 |
0.3511 |
-0.0091 |
7218 |
-0.0472 |
| T+5 β |
-0.0235 |
0.0529 |
-0.0085 |
6762 |
-0.0911 |
| T+10 βοΈ β
|
-0.0512 |
0.0001 |
-0.0180 |
6192 |
-0.1624 |
| T+20 β
|
-0.0380 |
0.0069 |
0.0186 |
5052 |
-0.2204 |
2. Component Predictive Power
Which sub-scores carry the most alpha?
| Component | T+1 | T+5 | T+10 | T+20 |
| Short Squeeze | -0.0216 | 0.0204 | 0.0244 | -0.0188 |
| Technical Momentum | -0.0075 | -0.0511 | -0.1135 | -0.0727 |
| Fundamental Trend | -0.0537 | -0.0966 | -0.1704 | -0.1878 |
| Broad Sentiment | 0.0590 | 0.1380 | 0.0453 | -0.0817 |
| Event Risk | -0.0122 | -0.0716 | -0.1480 | -0.0838 |
| Macro | 0.0780 | 0.0510 | -0.0557 | -0.2550 |
3. Score Level β ROI
$1K invested at each score level β what do you make?
| Score Level | Count | T+1 Avg | T+5 Avg | T+10 Avg | T+20 Avg | Best Win Rate | Best P&L ($1K) |
| Bearish (<30) |
2025 |
+0.21% |
+0.70% |
+1.02% |
+0.41% |
51.1% (T+1) |
+$10.23 (T+10) |
| Cautious (30-50) |
3928 |
+0.10% |
+0.30% |
+0.18% |
-0.73% |
50.9% (T+1) |
+$3.00 (T+5) |
| Bullish (50-70) |
1312 |
+0.09% |
+0.35% |
+0.06% |
-0.49% |
50.9% (T+1) |
+$3.52 (T+5) |
| Strong Bull (70+) |
67 |
+0.52% |
+1.28% |
+3.48% |
+10.99% |
65.6% (T+20) |
+$109.90 (T+20) |
4. Score Change Momentum
Do big score jumps predict price moves?
| Score Change | Count | T+1 Avg | T+5 Avg | T+10 Avg | T+20 Avg | Best Win Rate | Best P&L ($1K) |
| Big Drop (<= -4.0) |
1492 |
+0.13% |
+0.21% |
+0.27% |
-0.53% |
53.2% (T+1) |
+$2.71 (T+10) |
| Drop (> -4.0 to <= 0.0) |
3125 |
+0.13% |
+0.41% |
+0.65% |
+0.60% |
50.9% (T+5) |
+$6.48 (T+10) |
| Rise (> 0.0 to <= 4.0) |
1381 |
-0.05% |
+0.32% |
-0.20% |
-2.70% |
50.2% (T+1) |
+$3.21 (T+5) |
| Big Rise (> 4.0) |
1220 |
+0.29% |
+0.74% |
+0.32% |
-0.46% |
50.7% (T+1) |
+$7.42 (T+5) |
5. Score Trend Reversal
Lowβrising = buy signal, Highβfalling = sell signal
π’ Buy Signal (Score β Crosses MA)
| Horizon | Count | Avg Return | Win Rate | P&L ($1K) |
| T+1 | 1017 | +0.21% | 51.4% | +$2.12 |
| T+5 | 945 | +0.42% | 47.6% | +$4.23 |
| T+10 βοΈ | 863 | +0.57% | 47.9% | +$5.68 |
| T+20 | 626 | -1.50% | 37.7% | $-14.95 |
π΄ Sell Signal (Score β Crosses MA)
| Horizon | Count | Avg Return | Drop Rate | Avoided Loss |
| T+1 | 1058 | +0.26% | 45.7% | $-2.62 |
| T+5 | 975 | +0.69% | 49.2% | $-6.87 |
| T+10 βοΈ | 888 | +0.77% | 51.1% | $-7.66 |
| T+20 | 697 | -0.37% | 56.7% | +$3.69 |
π΅ Recovery Buy (Low Score + 10pt Rise)
| Horizon | Count | Avg Return | Win Rate | P&L ($1K) |
| T+1 | 590 | +0.24% | 51.5% | +$2.43 |
| T+5 | 518 | +0.39% | 49.4% | +$3.93 |
| T+10 βοΈ | 395 | -1.31% | 41.0% | $-13.12 |
| T+20 | 289 | -3.92% | 37.4% | $-39.23 |
π’ Red to Higher Tier (3 Days < 30, Break Above)
| Horizon | Count | Avg Return | Win Rate | P&L ($1K) |
| T+1 | 188 | +0.32% | 50.5% | +$3.21 |
| T+5 | 171 | +1.12% | 53.8% | +$11.22 |
| T+10 βοΈ | 144 | +1.05% | 51.4% | +$10.49 |
| T+20 | 93 | -1.30% | 46.2% | $-13.05 |
π΄ Top Tier Drop Sell (3 Days β₯ 70, Drop Below)
| Horizon | Count | Avg Return | Drop Rate | Avoided Loss |
| T+1 | 4 | -0.78% | 50.0% | +$7.79 |
| T+5 | 4 | -0.52% | 50.0% | +$5.17 |
| T+10 βοΈ | 4 | +1.90% | 25.0% | $-18.98 |
| T+20 | 4 | +9.38% | 25.0% | $-93.78 |
6. Cross-Ticker Ranking (Long/Short)
If we bought the top 20% of tickers daily and shorted the bottom 20%. A positive spread means our top picks beat the bottom picks.
| Horizon | Top Quintile | Bottom Quintile | Spread | Win Rate | L/S P&L ($1K) |
| T+1 |
+0.11% |
+0.29% |
-0.18% |
53.1% |
$-1.85 |
| T+5 |
+0.65% |
+1.10% |
-0.45% |
52.1% |
$-4.53 |
| T+10 βοΈ |
+1.07% |
+1.61% |
-0.54% |
46.1% |
$-5.44 |
| T+20 |
+2.02% |
+1.54% |
+0.48% |
55.7% |
+$4.84 |
Score β Price Overlay
Top tickers by data coverage β normalized score vs price
Per-Ticker Correlation Distribution
π Recommendations
Increase weight for Fundamental Trend β strongest predictive correlation at T+10 (Ο=0.1704).
Review Short Squeeze β weakest signal (Ο=0.0244) at T+10. Consider reducing weight or improving data quality.
Strong Bull (70+) is the optimal entry zone β best risk-adjusted T+10 returns.