FINRAShortData
Process FINRA Short Daily Data feeds
Install
To install the package type:
pip install finrashortdata
Quick start
Example 1: Daily Short Volumes for past 2 days (inclusive)
import asyncio
from finrashortdata import daily_shorts
import pandas as pd
df : pd.DataFrame = asyncio.run(daily_shorts(offset=2))
Example 2: Daily Short Volumes for time_range
import asyncio
from finrashortdata import daily_shorts
from datetime import date
import pandas as pd
df : pd.DataFrame = asyncio.run(daily_shorts(
start_date=date(year=2022, month=9, day=1),
end_date=date(year=2022, month=9, day=10)))
Scripts work as-is
Licensing
Questions & Comments
Use the Issues section
Contributing
If you'd like to contribute to the project, drop me a line at mailto:amor71@sgeltd.com
Metadata
Release files for finrashortdata 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| finrashortdata-0.1.1.tar.gz | 16.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| finrashortdata-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.2 kB
Release files / finrashortdata-0.1.1.tar.gz
| Download URL | finrashortdata-0.1.1.tar.gz |
|---|---|
| Size | 16.3 kB |
| Tags | Source |
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Release files / finrashortdata-0.1.1-py3-none-any.whl
| Download URL | finrashortdata-0.1.1-py3-none-any.whl |
|---|---|
| Size | 17.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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