Process FINRA Short Daily Data feeds
Project description
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
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
finrashortdata-0.1.1.tar.gz
(16.3 kB
view details)
Built Distribution
File details
Details for the file finrashortdata-0.1.1.tar.gz
.
File metadata
- Download URL: finrashortdata-0.1.1.tar.gz
- Upload date:
- Size: 16.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 54d02c7fbe0fea7d422e39a0ad9f025faa8a8f57231b68cedfc64262c8353545 |
|
MD5 | 0db980a945aa967a92bfb9c85443d4c3 |
|
BLAKE2b-256 | 1140a0f6341524bc3dbd073ad9b1ae6db9cd53a14b3f23205ca7adcbc2897bf9 |
File details
Details for the file finrashortdata-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: finrashortdata-0.1.1-py3-none-any.whl
- Upload date:
- Size: 17.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a549e5f6941a76b2690548ea4c66b13ce5d34ca6627d03bd4493d5313ca3396a |
|
MD5 | 5fbfe944bd295d1ae1c15734114fb099 |
|
BLAKE2b-256 | 247ea4005425642cf5974e338f8d99f938eb41bdc1753bc729a22036d7f963c5 |