OVERVIEW
This indicator was developed to quickly analyze the seasonal movements of financial investment instruments.
I would like to thank Zafer Brother for his ideas.
IMPORTANT NOTE:
In order to calculate monthly price changes properly, we need to examine the chart on a monthly time period.
USER GUIDE:
1 - Time Period Selection: Users can input the start and end years for their analysis. This feature enables users to focus on specific time frames that are of interest to them, such as analyzing market behavior during certain historical events or periods.
2 - Monthly Data Aggregation: The script seems to collect and process data on a monthly basis, enabling a detailed analysis of market trends within each month.
3 - Percentage Change Calculation: It calculates the percentage change in prices, which is a crucial metric in financial analysis for understanding market movements.
4 - Customization and Visualization: Users can customize background colors for each month, enhancing the visual appeal and readability of the data on charts.
ALGORITHM
1 - Time Range Settings:
The user can enter the start and end year of the analysis. These dates determine the time period in which data analysis will be performed.
2- Creating Monthly Data Series and Calculating Total Months:
A separate float array and percentage change array is created for each month.
3- Percentage Change Calculation:
Using the data in the series created for each year and each month, the months of the selected years are summed and divided by the total number of years.
4 - Visualization of Results:
Table helps us to quickly check our data in our monthly average percentage change for selected years.
5- Coloring the Graph According to Background Conditions:
The user who checks the results in the table can check the price changes in the months between the selected years from the graph by turning on the background of the desired month in the indicator settings.
In the example above, I selected the months of June, July and August.
By changing the background of the months of June, July and August between the years I have selected in the chart, I can easily examine the seasonal price movement in these months.
Example
I observe that the snowiest month among the years I choose in the airline company I work with is November, and I can easily make my analysis by turning on the background setting of November.
Benefits
Customized Analysis: By allowing users to select specific start and end years, the script provides tailored analysis, making it more relevant and useful for individual trading strategies or historical research.
Trend Identification: Monthly data aggregation and percentage change calculations can help in identifying short-term and long-term market trends, vital for making informed trading decisions.
Enhanced Visualization: Custom background colors for different months can make the chart more user-friendly, aiding in quicker interpretation and analysis of data.
User-Friendly Dashboard: The script includes a dashboard feature that provides a summary of data analysis, making it easier for users to get an overview of market trends.
This indicator was developed to quickly analyze the seasonal movements of financial investment instruments.
I would like to thank Zafer Brother for his ideas.
IMPORTANT NOTE:
In order to calculate monthly price changes properly, we need to examine the chart on a monthly time period.
USER GUIDE:
1 - Time Period Selection: Users can input the start and end years for their analysis. This feature enables users to focus on specific time frames that are of interest to them, such as analyzing market behavior during certain historical events or periods.
2 - Monthly Data Aggregation: The script seems to collect and process data on a monthly basis, enabling a detailed analysis of market trends within each month.
3 - Percentage Change Calculation: It calculates the percentage change in prices, which is a crucial metric in financial analysis for understanding market movements.
4 - Customization and Visualization: Users can customize background colors for each month, enhancing the visual appeal and readability of the data on charts.
ALGORITHM
1 - Time Range Settings:
The user can enter the start and end year of the analysis. These dates determine the time period in which data analysis will be performed.
2- Creating Monthly Data Series and Calculating Total Months:
A separate float array and percentage change array is created for each month.
3- Percentage Change Calculation:
Using the data in the series created for each year and each month, the months of the selected years are summed and divided by the total number of years.
4 - Visualization of Results:
Table helps us to quickly check our data in our monthly average percentage change for selected years.
5- Coloring the Graph According to Background Conditions:
The user who checks the results in the table can check the price changes in the months between the selected years from the graph by turning on the background of the desired month in the indicator settings.
In the example above, I selected the months of June, July and August.
By changing the background of the months of June, July and August between the years I have selected in the chart, I can easily examine the seasonal price movement in these months.
Example
I observe that the snowiest month among the years I choose in the airline company I work with is November, and I can easily make my analysis by turning on the background setting of November.
Benefits
Customized Analysis: By allowing users to select specific start and end years, the script provides tailored analysis, making it more relevant and useful for individual trading strategies or historical research.
Trend Identification: Monthly data aggregation and percentage change calculations can help in identifying short-term and long-term market trends, vital for making informed trading decisions.
Enhanced Visualization: Custom background colors for different months can make the chart more user-friendly, aiding in quicker interpretation and analysis of data.
User-Friendly Dashboard: The script includes a dashboard feature that provides a summary of data analysis, making it easier for users to get an overview of market trends.
- If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
I am an engineer who has been working in the topic of algorithmic trading for more than 5 years.By browsing my website , you can review and use many sample indicators that I have designed for you.