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Shared Trading Objects
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Hong Kong Stock Exchange - historical data (by The trader, uploaded 104 days ago)
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Recent mergers and acquisitions (by Patrick Fonce, uploaded 261 days ago)
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Toronto Stock Exchange (by bug man, uploaded 114 days ago)
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Mahesh Moving Average (by QuantShare, uploaded 25 days ago)
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Time Under Water - Drawdown (by The trader, uploaded 129 days ago)
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Ocean Tomo Patent Indexes EOD data (by bug man, uploaded 150 days ago)
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Financial fundamental data for US companies
by Patrick Fonce, 207 days ago

Download the most recent financial fundamental data from finviz.com for stocks listed in US stock exchanges. 12 items for more than 6000 ticker symbols are downloaded by this item.

This downloader should be run every week in order to build an historical fundamental database. The data is stored in a custom historical database (fund_financial).

Here is a list of the fundamental items downloaded by this object:
Mktcap: Market capitalization.
Dividend: Dividend paid by the company.
ROA: Return on assets; it is the Income after taxes divided by the average total assets.
ROE: Return on equity; it is the income available to common stockholders divided by the average common equity.
ROI: Return on investment; it is the income after taxes divided by the average total long term debt + other long term liabilities + shareholders equity.
Currr: Current ratio; the ratio of total current assets divided by the total current liabilities.
Quickr: Quick ratio; Also called the Acid test ratio, it is defined as cash + short term investments + accounts receivable divided by the total current liabilities.
LTdebt-eq: Long term Debt/Equity.
GrossM: Gross margin; it is the annual total revenue minus the annual cost of goods sold divided by the annual total revenue.
OperM: Operating margin; it is the annual operating income divided by the annual total revenue.
ProfitM: Net profit margin; it is the income after taxes divided by the total revenue.

NB:
Empty fields are filled with the 'double.NAN' value.
Fundamental items date always starts on Monday.
You can use this data as it is for screening, watchlists...
On loading this item once per week, you will start building your own fundamental database that you can use later to create composites, neural network models, backtest trading systems...


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Average rate
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Number of times this object was downloaded
Number of rates the current object received
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