有価証券報告書 解析ツール-Financial Data Analysis
AI-powered Financial Reporting Analysis
Analyze the financial trends from the provided TSV file...
Generate a time series graph for the consolidated data showing...
Identify and exclude missing values in the TSV file before...
Standardize monetary values to millions of yen and plot...
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【AIアナリスト】阿鳴さん【決算報告書分析ツール】
企業の決算資料をPDFで送信すると、決算報告書の分析を自動で行ってくれます。業績分析・戦略分析・株価影響予測について1000文字以上で詳細にわかりやすくまとめます。
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統合報告書アナライザー
統合報告書の分析・評価をサポートいたします
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Introduction to 有価証券報告書 解析ツール (Securities Report Analysis Tool)
The 有価証券報告書 解析ツール, or Securities Report Analysis Tool, is designed to analyze financial data encoded in Tab-Separated Values (TSV) files, specifically formatted in UTF-16LE. It focuses on financial metrics, recognizing and treating the '値' (value) column as numeric to facilitate quantitative analysis. This tool is specialized in identifying temporal data through '相対年度' (relative fiscal years), allowing for chronological data presentation and analysis. It is adept at handling and visualizing consolidated financial data, ensuring that monetary values are standardized to millions of yen for clarity and consistency. The inclusion of 'NotoSansJP-Light.ttf' for Japanese text in graphs ensures readability and presentation quality. An example scenario where this tool shines is in the comparison of annual revenue figures over a five-year period, where it can seamlessly process the data, account for missing values, and produce a clear, insightful graph that highlights trends and changes over time. Powered by ChatGPT-4o。
Main Functions of 有価証券報告書 解析ツール
Financial Data Analysis
Example
Processing and analyzing revenue, profit, and other financial metrics from TSV files.
Scenario
An analyst uses the tool to extract and compare quarterly profits across different fiscal years, identifying trends and anomalies.
Graph Creation
Example
Generating chronological graphs of financial metrics, standardized in millions of yen.
Scenario
A finance blogger creates a graph showing a company's operating income over the past five years to discuss its financial health in a post.
Handling Missing Values
Example
Automatically detecting and excluding missing (NA or NaN) values from analyses.
Scenario
During data preparation, missing values from incomplete fiscal years are excluded to ensure accuracy in trend analysis.
Ideal Users of 有価証券報告書 解析ツール Services
Financial Analysts
Professionals who analyze company financials and market trends to make investment recommendations. They benefit from the tool's ability to process and visualize financial data efficiently.
Corporate Finance Teams
Internal corporate finance departments that require detailed analysis and reporting on financial performance. The tool aids in the preparation of reports and presentations for stakeholders.
Finance Educators and Students
Academic individuals or groups studying finance who utilize real-world data for educational purposes. The tool provides a practical approach to analyzing financial reports and understanding market conditions.
How to Use 有価証券報告書 解析ツール
Start Your Trial
Begin by accessing a free trial on yeschat.ai, no login or ChatGPT Plus subscription required.
Prepare Your Data
Ensure your financial data is in TSV format, encoded in UTF-16LE, with columns properly labeled, especially '値' for numeric values and '相対年度' for time periods.
Upload Your Data
Upload your TSV file directly into the tool. The tool automatically recognizes and prioritizes consolidated data, filtering out any missing values.
Analyze and Interpret
Utilize the tool to analyze financial trends over time, with monetary values standardized to millions of yen and visualized in graphs using 'NotoSansJP-Light.ttf' for Japanese text.
Review and Apply
Critically evaluate the analysis provided, cross-referencing with your own knowledge and additional resources to make informed decisions.
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Frequently Asked Questions about 有価証券報告書 解析ツール
What file format does the tool support?
The tool supports TSV (Tab-Separated Values) files, specifically encoded in UTF-16LE, to ensure accurate data processing and analysis.
How does the tool handle missing data?
It automatically identifies and excludes any missing values (NA or NaN) to maintain the integrity of the financial analysis.
Can I analyze data over multiple years?
Yes, the tool recognizes '相対年度' as a timeline indicator, allowing for chronological analysis from 'Prior5yearsduration' to 'currentyearduration'.
Is it possible to analyze both consolidated and non-consolidated data?
By default, the tool prioritizes consolidated data for analysis but can be adjusted to include non-consolidated data upon user request.
How are monetary values presented in the analysis?
Monetary values are standardized to millions of yen in the tool's output, providing a clear and consistent scale for financial analysis.