OPEN-SOURCE SCRIPT
Bankruptcy Risk: Altman Z-Score, Zmijewski Score, Grover G

This custom indicator calculates three common bankruptcy risk scores:
Altman Z-Score
Zmijewski Score
Grover Model: G-Score
The indicator pulls key financial metrics and calculates each score, then displays the results in a table with color-coding based on the level of bankruptcy risk.
Users can toggle between FQ and FY periods and view details on the underlying metrics. This provides an easy way to visualize bankruptcy risk for a company and compare across different scoring models.
Useful for fundamental analysis and assessing financial health.
The financial ratios and methodology are based on research described in
"Analysis of Bankruptcy Prediction Models in Determining Bankruptcy of Consumer Goods Companies in Indonesia" (Thomas et al., 2020).
- Altman Z-Score
- Zmijewski Score
- Grover G-Score
Altman Z-Score
- Companies are in healthy condition if the Z-Score > 2.6.
- Companies are in vulnerable conditions and need improvement (grey area) if the score is between 1.1 - 2.6.
- Companies have the potential to lead to serious bankruptcy if the Z-Score < 1.1.
Zmijewski Score
- The company has the potential to go bankrupt if the value of X Score > 0.
- The company is healthy if the value of X Score < 0.
Grover Model: G-Score
- The company has the potential to go bankrupt if the G Score ≤ -0.02.
- The company is in good health if the value of G Score ≥ 0.001.
The indicator pulls key financial metrics and calculates each score, then displays the results in a table with color-coding based on the level of bankruptcy risk.
Users can toggle between FQ and FY periods and view details on the underlying metrics. This provides an easy way to visualize bankruptcy risk for a company and compare across different scoring models.
Useful for fundamental analysis and assessing financial health.
The financial ratios and methodology are based on research described in
"Analysis of Bankruptcy Prediction Models in Determining Bankruptcy of Consumer Goods Companies in Indonesia" (Thomas et al., 2020).
开源脚本
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免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
开源脚本
秉承TradingView的精神,该脚本的作者将其开源,以便交易者可以查看和验证其功能。向作者致敬!您可以免费使用该脚本,但请记住,重新发布代码须遵守我们的网站规则。
免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。