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Connect Financial Modelling to PostgreSQL

Send Financial Modelling stocks, etfs, stock available tradeds and 14 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.

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PostgreSQL schema financial_modelling
  • stocks
  • etfs
  • stock_available_tradeds
  • stock_cik_lists
  • stock_euronext_symbols
  • 12 more data types
Each Financial Modelling data type lands in its own table. You pick the schema and table names.
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Matterport

How to connect Financial Modelling and PostgreSQL

5 steps. You can preview the Financial Modelling data in Coupler.io before anything reaches PostgreSQL.

Step 1 of 5

Connect Financial Modelling

Enter your Financial Modelling API key. You only do this once per account.

API key••••••••••••

Step 2 of 5

Choose what to export

Pick the Financial Modelling data you want in PostgreSQL.

Show 9 more data types Show fewer data types
Start dateAny dateSpecify the start date for historical data export.

Step 3 of 5

Fine-tune the export

Optional settings for this Financial Modelling export.

ExchangeNot setSpecify the stock exchange to filter data. Defaults to NASDAQ if not specified.
Market cap more thanNot setSpecify the minimum market cap value to filter stocks in the screener source.
Market cap lower thanNot setSpecify the maximum market cap value to filter stocks in the screener source.
Time frameNot setSpecify the time interval for historical data. Defaults to 1 hour if not specified.

Step 4 of 5

Connect PostgreSQL

Enter your PostgreSQL connection details, then the schema and table for the Financial Modelling data.

Hostdb.example.comHostname, IPv4, or IPv6 address of the server
Port5432Default is 5432
DatabaseanalyticsThe target database name
TablestocksCreated automatically on the first run
Show 3 more fields Show fewer fields
UsercouplerUser with CREATE and INSERT privileges
Password••••••••••••The database user's password
Schemafinancial_modellingCreated automatically if it doesn't exist

Step 5 of 5

Choose a write mode and schedule

Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in stocks and loads fresh Financial Modelling data.

Get the most of Financial Modelling to PostgreSQL integration

Gather data icon

Gather data

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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
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Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Financial Modelling to PostgreSQL questions

17 data types, including Stocks, Etfs, Stock available tradeds, Stock cik lists and Stock euronext symbols.

With your Financial Modelling API key, entered once when you add the connection.

Yes. Set the start date to cover the period you need.

Yes, if the database user has CREATE privileges. Coupler.io creates the financial_modelling schema and the stocks table on the first run.

Yes. Append adds new rows to stocks on each run, while Replace swaps in a fresh copy. With Append, add new Financial Modelling columns to the table yourself before the next run.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example QuickBooks or Xero, and join or append them before the data reaches PostgreSQL.

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