findatapy | Python library to download market data via Bloomberg | Business library

by cuemacro Python Version: 0.1.35 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | findatapy Summary

findatapy is a Python library typically used in Web Site, Business applications. findatapy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install findatapy' or download it from GitHub, PyPI.

findatapy creates an easy to use Python API to download market data from many sources including Quandl, Bloomberg, Yahoo, Google etc. using a unified high level interface. Users can also define their own custom tickers, using configuration files. There is also functionality which is particularly useful for those downloading FX market data. Below example shows how to download AUDJPY data from Quandl (and automatically calculates this via USD crosses). Here we see how to download tick data from DukasCopy, wih the same API calls and minimal changes in the code. I had previously written the open source PyThalesians financial library. This new findatapy library has similar functionality to the market data part of that library. However, I've totally rewritten the API to make it much cleaner and easier to use. It is also now a fully standalone package, so you can more easily use it with whatever libraries you have for analysing market data or doing your backtesting (although I'd recommend my own finmarketpy package if you are doing backtesting of trading strategies!).

Support

Quality

Security

License

Reuse

Support

findatapy has a medium active ecosystem.

It has 1347 star(s) with 186 fork(s). There are 90 watchers for this library.

There were 5 major release(s) in the last 6 months.

There are 18 open issues and 11 have been closed. On average issues are closed in 92 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of findatapy is 0.1.35

Quality

findatapy has 0 bugs and 0 code smells.

Security

findatapy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

findatapy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

findatapy is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

findatapy releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

findatapy saves you 3059 person hours of effort in developing the same functionality from scratch.

It has 7987 lines of code, 503 functions and 63 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed findatapy and discovered the below as its top functions. This is intended to give you an instant insight into findatapy implemented functionality, and help decide if they suit your requirements.

Fetches a MarketDataRequest
Creates a MarketDataRequest from a string
Search all ticker combinations
Filters the dataframe based on the given holidays
Get market volume
Copy source files to destination
Join a list of DataFrames
Load data from md_request
Load the ticker data
Translates the library to vendor
Translate data source to vendor field
Construct MarketDataRequest
Create MarketDataRequest from a string
Calculate the cost of a signal and return its cost matrix
Returns a pandas DataFrame of ticker combinations
Calculates the risk stop loss for a given signal
Join two DataFrames
Calculates the expiry date from a given horizon date and time
Load market ticker
Request data from Binance
Filter data_frame by holidays
Load data from Huobi
Load daily ticker data
Load data from Gdax
Load data from Bitfinex
Compute the correlation between two DataFrames
Process received events
Load ticker data
Calculate delivery date from horizon date and time

Get all kandi verified functions for this library.

findatapy Key Features

No Key Features are available at this moment for findatapy.

findatapy Examples and Code Snippets

No Code Snippets are available at this moment for findatapy.

Community Discussions

Trending Discussions on findatapy

Installing module using Anaconda caused issues on my Virtual Environment

QUESTION

Installing module using Anaconda caused issues on my Virtual Environment

Asked 2021-Mar-31 at 19:41

I attempted to update pandas_datareader on my Python 3.5.2 virtual Environment using Anaconda like this:

...

ANSWER

Answered 2021-Mar-31 at 19:41

At the end, I ended up solving this by rolling back the changes I made using conda list --revisions to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N (where N is the revision you want to trace back to). Suppose the changes you made are rev 4, you want to undo them, and sit back again under rev 3 (your previously "known and working" environment you had), so you run conda install --revision 3 for that case.

Afterwards I re-installed pandas_datareader with python -m pip install pandas-datareader and everything went good again.

Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.

Source https://stackoverflow.com/questions/66891673

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install findatapy

For detailed installation instructions for chartpy, findatapy & finmarketpy and its associated Python libraries go to https://github.com/cuemacro/finmarketpy/blob/master/INSTALL.md. The tutorial includes details on how to setup your entire Python environment.
Make sure you edit the dataconstants class for the correct Eikon API, Quandl API and Twitter API keys etc.
Or you can run set_api_keys.py script to set the API keys via storing in your keyring
Or you can create a datacred.py file which overwrites these keys
Or some of these API keys can be passed via MarketDataRequest on demand

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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