If you still did not try our Search API, we do highly recommend it, because with our Screener API it becomes an ultimate solution to get the full list of ticker per exchange, find proper ticker code, filter by parameter, and many others.
Today we announce the search by ticker type. Thus, it’s easy to filter assets by type. The Search API supports the following types: all, stock, etf, fund, bonds, and index. The default value is ‘all’ and please note: with the value ‘all’ bonds will not be displayed, you should explicitly request bonds.
For example, it’s easy to get all indices with letter ‘A’:
Today we publish update Dividends API with two new fields: currency and unadjusted value or unadjusted dividend payment.
The currency field indicates the currency in which dividends were provided, in most cases the dividend currency is the same as prices currency, but in several cases, mostly occurred in EU exchanges, the dividend currency could be different and there is an indicator for it.
The unadjusted dividend value another very important field for those who perform deep dividend analysis. Most sources provide dividend payments already adjusted to splits, but several dividend strategies need the unadjusted dividend values.
Check our Dividend API to get more information about dividends, adjusted and unadjusted dividend payments, payment dates, ex-dates and record and declaration dates. …
It’s easy to import end of day historical data to AmiBroker software and use our data there. This article explains how to do it step-by-step.
This API URL will download the file in AmiBroker format with name ‘TSLA_format_amibroker.csv’
2. Open the AmiBroker and then File->Import Wizard. For this documentation and screenshots, we used AmiBroker version 6.
3. Pick file or several files to import. We selected the file downloaded on the Step 1 with name TSLA_format_amibroker.csv. …
Today we added two more fields. The first one is a very important field for Earnings per Share (EPS) for US companies which indicates whether earnings are announced Before Market Open or After Market Close. It’s important to know whether earnings had been announced before or after trading hours to adapt the investing strategy.
And the second one is a Earnings per Share (EPS) currency. We added EPS currency for both US and non-US companies. The earnings currency not always the same as stock price currency and usually it’s the same as the currency of quarterly and annual financial reports. For example, Alibaba Group (BABA) trades in USD on NYSE, but has earnings currency in CNY, the same as financial statements, since it’s a Chinese company, the same for Yandex (YNDX) which trades in USD on Nasdaq, but has earnings in RUB. …
Eventually, we published more than 30 Macro Indicators and Macroeconomics Data API. Macroeconomics is a part of economics dealing with the performance, structure, behavior, and decision-making of an economy as a whole. Our Macroeconomics Data API includes regional, national, and global economies. We provide the data for more than 30 macro indicators (the full list you can find in the documentation) such as GDP, unemployment rates, national income, price indices, inflation rates, consumption, international trades, and many other significant indicators.
The Macroeconomics Data API is a part of Fundamental API and accessible under Fundamental subscription. Below you can see the annual inflation for France in percents, the indicator is ‘inflation_consumer_prices_annual’.
Today we are happy to announce our brand new Screener API. The Screener API is a powerful tool that helps you filter out tickers with the given parameters. Imagine, that you can easily filter all companies with Market Capitalization above 1 billion, have only positive EPS within the ‘Personal Products’ industry, and with name started with the letter ‘B’. Or get only tickers that have new lows for the past 200 days and the Book Value is negative.
Yes, it’s easy now with our new Screener API. At the start we support several fundamental data fields like Market Capitalization, EPS, Dividend Yield, and pre-calculated fields called ‘signals’ like new 50/200 days highs or lows, and others. …
As our previous article explained, fundamental data is used to assess a company’s value and for fundamental analysis of the asset. Here we will provide a couple of interesting scores that can help to evaluate a company’s stock. The main difference of this article in comparison with others about Altman Z-Score and Piotrosky score in that it’s practical, and provides exact fields from Financial reports with our Fundamental API, then it’s very fast and easy to calculate these scores with our data.
The Altman Z-score, in simple terms, estimates the likelihood of a company’s bankruptcy (see Wikipedia article for more details). It uses five financial ratios calculated from a company’s annual report and helps predict if the company’s (highly likely) going towards bankruptcy or not. …
No coding for Windows users from today. Today eodhistoricaldata.com are happy to announce the new downloader for Windows 7/10 for end of day historical data. With this Windows Downloader (or EODLoader) application, it’s easy to download even the entire US stock market, with more than 47.000 active tickers we track, just with one click. It supports all MS Windows versions starting from Windows 7.
Our EODLoader for stock prices is open-source software and all code is published on GitHub: GitHub/EODownloader.
We at EOD Historical Data adjust historical prices for splits and dividends (more on adjusted closes you can read on this documentation page: eodhistoricaldata.com/knowledgebase/adjusted-close-and-close-whats-the-difference/). If for some reason one only needs data adjusted for splits, but not for dividends, then this API can be used to obtain splits-only adjusted data.
The average volume of a security over a period of time is the total amount traded in that period in stocks, divided by the length of the period. …
The Fundamental Data of equity includes information that pertains to the qualities and quantities of equity performance on financial markets. This information is used to assess a company’s value and for fundamental analysis of the asset.
There is a whole lot of fundamental data available for equity. Some of the more important metrics from the fundamentals are explained below.
EBITDA (Earnings Before Interest, Tax, Depreciation, and Amortization) essentially is the sum of operating profit and interest expense. It allows seeing how much profit a company has generated before it’s impacted by external decisions.
EPS (Earnings Per Share) is calculated as a net income, subtracted by dividends, divided by shares available. It’s one of the most important parameters, used in calculations for some others as well as used by analysts to determine how much the market is willing to pay for each dollar of earnings. …