Hello!
This script looks to distinguish replicable sequences and correlations between earnings releases and price. The indicator calculates the average 1-session to 20-session performance of an asset prior to an earnings release, and the 1-session to 20-session performance of an asset subsequent an earnings release.
You can select the number of sessions the script calculates for asset performance.
In the image above the script calculates the average 1-session performance following an earnings surprise, earnings miss, and in general. 20 sessions is the maximum value!
Also measured is the average performance of an asset before and after earnings, in addition to the average performance following an earnings surprise "green earnings" and the average performance following an earnings miss "red earnings".
I included VaR and CVaR calculations - using the historical method - in the script. For those of you unfamiliar with the metrics, both look to quantify the risk of financial loss for a portfolio, or even a particular position.
The script also calculates the 1st - 5th percentile for earnings losses. A more comprehensive explanation of the metrics is stored in tooltips in the user input tab.
The script also calculates the highest high and lowest low following an earnings release, up to 20 sessions, and calculates the difference between the two.
Keep in mind that a company might not have a significant number of earnings misses, or may have only traded publicly for a short while. If true, the resulting earnings/price calculations *will* be misleading - there is an insufficient sample size; no correlations are ascertainable.
I will be working on this script more, so let me know if there is anything you would like included!
This script looks to distinguish replicable sequences and correlations between earnings releases and price. The indicator calculates the average 1-session to 20-session performance of an asset prior to an earnings release, and the 1-session to 20-session performance of an asset subsequent an earnings release.
You can select the number of sessions the script calculates for asset performance.
In the image above the script calculates the average 1-session performance following an earnings surprise, earnings miss, and in general. 20 sessions is the maximum value!
Also measured is the average performance of an asset before and after earnings, in addition to the average performance following an earnings surprise "green earnings" and the average performance following an earnings miss "red earnings".
I included VaR and CVaR calculations - using the historical method - in the script. For those of you unfamiliar with the metrics, both look to quantify the risk of financial loss for a portfolio, or even a particular position.
The script also calculates the 1st - 5th percentile for earnings losses. A more comprehensive explanation of the metrics is stored in tooltips in the user input tab.
The script also calculates the highest high and lowest low following an earnings release, up to 20 sessions, and calculates the difference between the two.
Keep in mind that a company might not have a significant number of earnings misses, or may have only traded publicly for a short while. If true, the resulting earnings/price calculations *will* be misleading - there is an insufficient sample size; no correlations are ascertainable.
I will be working on this script more, so let me know if there is anything you would like included!
Информация о релизе
Fixed a label size issueИнформация о релизе
Got a bit creative with plots - added a diamond line to help visualize the VaR price level and the corresponding CVaR price level.Информация о релизе
Improved VaR and CVaR plotИнформация о релизе
Made use of Pine's new table.merge_cells feature to spice up the table!
Included an option to plot VaR and CVaR lines across all historical price data.
Информация о релизе
Color additionsИнформация о релизе
Included fundamental ratios/statistics. These labels, and accompanying lines, can be hidden in the user inputs tab!Информация о релизе
Информация о релизе
Added a few volume measures
Информация о релизе
Added more fundamental statistics. There is an options to hide the blue labels in the user input tabИнформация о релизе
Added calculations for Q1, Q2, Q3, and Q4 earnings releases.
Информация о релизе
Fixed a dashed lineИнформация о релизе
Added some cool features in the top right corner of the chart!Fiscal quarters are highlighted during the period, in addition to a description - "surprise" or "miss" - of the company's earnings performance during that quarter.
Информация о релизе
Added earnings actual and earnings estimate number in the top right.Информация о релизе
The script will now stamp the year/month/day that earnings occur! Информация о релизе
Worked on aesthetics - a checkmark appear when a company exceeds earnings estimates; an "X" appears when a company underperforms estimates. Информация о релизе
Included additional volume measures for ER sessions, and sessions within close proximity of ER sessions, which can be adjusted in the user input tab!Информация о релизе
Compliant with memory calculation changesСкрипт с открытым кодом
В истинном духе TradingView автор этого скрипта опубликовал его с открытым исходным кодом, чтобы трейдеры могли понять, как он работает, и проверить на практике. Вы можете воспользоваться им бесплатно, но повторное использование этого кода в публикации регулируется Правилами поведения.
•Access to Next-Gen Optimization Tools: tradingiq.io
•Discord Server: discord.gg/aKWPuM4HPy
•Discord Server: discord.gg/aKWPuM4HPy
Отказ от ответственности
Все виды контента, которые вы можете увидеть на TradingView, не являются финансовыми, инвестиционными, торговыми или любыми другими рекомендациями. Мы не предоставляем советы по покупке и продаже активов. Подробнее — в Условиях использования TradingView.
Скрипт с открытым кодом
В истинном духе TradingView автор этого скрипта опубликовал его с открытым исходным кодом, чтобы трейдеры могли понять, как он работает, и проверить на практике. Вы можете воспользоваться им бесплатно, но повторное использование этого кода в публикации регулируется Правилами поведения.
•Access to Next-Gen Optimization Tools: tradingiq.io
•Discord Server: discord.gg/aKWPuM4HPy
•Discord Server: discord.gg/aKWPuM4HPy
Отказ от ответственности
Все виды контента, которые вы можете увидеть на TradingView, не являются финансовыми, инвестиционными, торговыми или любыми другими рекомендациями. Мы не предоставляем советы по покупке и продаже активов. Подробнее — в Условиях использования TradingView.