Best Month to Invest in PSKY (Paramount Skydance Corp)
Daily prices from · Data through · By Archibald Sheran
Based on 22 years of data (2005–2026), April is the best month to invest in PSKY with an average return of +5.74% and a 67% win rate. The worst month is October (-2.62%).
Average Monthly Returns for PSKY
Cyan = best month, Red = worst month, Green = positive average, Muted red = negative average.
Monthly Return Breakdown
| Month | Avg Return | Win Rate | Samples |
|---|---|---|---|
| January | +0.23% | 57% | 21 |
| February | -1.22% | 52% | 21 |
| March | -2.61% | 52% | 21 |
| AprilBest | +5.74% | 67% | 21 |
| May | -0.44% | 52% | 21 |
| June | -1.98% | 52% | 21 |
| July | -1.07% | 43% | 21 |
| August | +0.77% | 48% | 21 |
| September | -0.45% | 43% | 21 |
| OctoberWorst | -2.62% | 52% | 21 |
| November | +2.27% | 60% | 20 |
| December | +1.56% | 67% | 21 |
Equity Curve & Cycle Detection
If you invested $1,000 in PSKY during a specific calendar month each year, how would it have grown? Toggle cycle detection to see rising and declining phases on the curve.
Advanced Cycle Detection with Spectral Analysis
The cycle overlay above uses a simple detrended moving average. Does It Repeat offers a much more powerful cycle detection engine inside the app:
- ●Lomb-Scargle periodogram — finds dominant cycle periods even with unevenly spaced trade data
- ●Cycle regime analysis — projects the cycle forward to identify historically rising and declining phases
- ●Daily precision — analyze seasonal patterns with exact entry/exit dates, not just monthly averages
How to Read This Data
Average Return is the mean percentage change from the first trading day to the last trading day of each calendar month, averaged across 22 years.
Win Rate shows how often PSKY finished the month with a positive return. A 75% win rate means PSKY gained value in that month 3 out of every 4 years.
Median Return is the middle value when all yearly returns for that month are sorted. Unlike the average, the median is not skewed by extreme outliers.
Seasonal patterns are historical tendencies, not guarantees. Past performance does not predict future results. Use this data as one input alongside your own research.
Beyond monthly averages
See every seasonal window for PSKY
Calendar months are a coarse lens. Does It Repeat finds the exact entry and exit dates of each recurring window, how consistently it has held historically, and whether the pattern still holds up.
Seasonality screener
FreeThe next yearly windows with a perfect record
- ICG.LICG PLCLongOct 21 → Nov 25 · won 10 of 10 years · +13.3% avg
- PHParker HannifinLongOct 21 → Nov 22 · won 10 of 10 years · +11.4% avg
- ODFLOld Dominion Freight LineLongOct 22 → Dec 2 · won 10 of 10 years · +9.0% avg
Price cycle screener
FreeCycle models with an entry in the next two weeks
- LITELumentum Holdings Inc.Shortentry Oct 29 · +302.9% net · 100% won
- XMR-USDMoneroLongentry Oct 27 · +278.2% net · 80% won
- AMDAdvanced Micro Devices Inc.Shortentry Oct 27 · +217.1% net · 80% won
Free account includes a screener preview, no credit card. Full access $20/mo at early-adopter pricing, 14-day money-back guarantee, cancel anytime. All statistics are historical; past performance does not guarantee future results.
Frequently Asked Questions
What is the best month to invest in PSKY?▾
Based on 22 years of data, April is the best month to invest in PSKY. The stock has averaged a +5.74% return in April with a 67% win rate.
What is the worst month for PSKY?▾
October is historically the weakest month for PSKY, with an average return of -2.62% and a 52% win rate.
How reliable is this seasonal data?▾
This analysis uses 22 years of daily closing price data from 2005 to 2026. More years of data generally makes the pattern more reliable. However, seasonal patterns are tendencies, not certainties. Market conditions, economic events, and company-specific factors can override historical patterns in any given year.
Related reading
- What Is Seasonal Trading? A Data-Driven Guide12 min read
- The Truth About 100% Win-Rate Seasonal Patterns12 min read
- How to Screen Stocks for Seasonal Patterns8 min read