Best stocks of Sep'25
- Bullish Stocks
- Bearish Stocks
- High Probability Stocks
| Stock Name | LTP | %Change | Average Monthly Performance | Month to Date Performance | Max. Positive Change% | Min. Positive Change% |
|---|
*Note: Surprise of stock indicates that Current month performance of a particular stock has been doubled than or half of it’s same month’s average performance
Outperformed: Surprise
Underperformed: Surprise
SEASONALITY ANALYSIS
449.90 7.10 (1.60%)
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Yearly Returns |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Average Monthly Performance | -10.14% | 6.46% | 1.25% | 2.61% | 31.41% | 10.79% | -1.77% | 4.56% | 6.47% | 2.46% | -4.53% | -6.09% | |
| 2025 | -0.88% | -4.00% | -4.15% | 3.89% | 14.81% | 42.91% | -3.75% | 19.49% | -0.24%* | ||||
| 2024 | -11.03% | 3.72% | -5.38% | 5.26% | -14.00% | 4.16% | 0.47% | 35.33% | -6.90% | -0.53% | -11.35% | -8.09% | |
| 2023 | -19.40% | 34.40% | 4.17% | 9.32% | -0.37% | 0.93% | -10.66% | 1.64% | -5.68% | 9.02% | -2.88% | 0.74% | 13.33% |
| 2022 | 105.96% | 13.30% | 3.18% | -3.37% | -3.51% | 5.25% | -10.19% | -7.67% | |||||
| Positive Count% | 0.00% | 33.33% | 66.67% | 66.67% | 75.00% | 75.00% | 50.00% | 75.00% | 25.00% | 66.67% | 0.00% | 33.33% | |
| Negative Count% | 100.00% | 66.67% | 33.33% | 33.33% | 25.00% | 25.00% | 50.00% | 25.00% | 75.00% | 33.33% | 100.00% | 66.67% |
- Legends :
- <-10%
- -10% to -5%
- -5% to 0%
- 0% to 5%
- 5% to 10%
- >10%
What is Scan stock tool?
Stock seasonality refers to stock price trends that occur within different timeframes. People refer to stock / index seasonality to identify historical patterns in price fluctuations. This information is then used in taking well informed investment decisions.
Seasonality is a tool. It shows historical patterns, not what will happen this year. There are a number of specific seasonal patterns in stocks that people have noticed and tested. These tend to be short-term patterns.
Seasonal patterns can be useful, but they can also be traps if we blindly follow them. Seasonality analysis should always be used to control losses, yet that may also mean missing out on some of the trades that could have been profitable.
Seasonality analysis is a tendency for a stock / index to perform better during some time periods of the year and worse during others. These time periods can stretch from days to months of the year.
Seasonality analysis for a stock / index calculates two numbers: the percentage of time that the month is positive and the average gain/loss for the month.
Seasonality tells traders what has happened in the past, which is the historic pattern. There is no mandate that past performance will equal future performance as well. But traders can look for above average tendencies to complement other signals.