Lightweight library for financial signal generation and analysis
Project description
FinSignals
Lightweight Python package for generating financial signals and indicators.
Installation
pip install finsignals
Example
import pandas as pd
from finsignals import indicators, preprocessing
data = pd.Series([100, 101, 99, 102, 105])
returns = preprocessing.compute_returns(data)
mid, up, low = indicators.bollinger_bands(data)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
finsignals-0.1.0.tar.gz
(4.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file finsignals-0.1.0.tar.gz.
File metadata
- Download URL: finsignals-0.1.0.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
146a578ac05399f59ea81217c77b6df4d17aeb05dd0e7256d08dc538c4e152ea
|
|
| MD5 |
ef9750a2d623c0c3e4a01d4586af22c9
|
|
| BLAKE2b-256 |
3cea3b06aa3c5dc82b364c06bd0573ceef8433652eed5db089deb19c384f0154
|
File details
Details for the file finsignals-0.1.0-py3-none-any.whl.
File metadata
- Download URL: finsignals-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
710cfb88470320b4221bfa3cf879cfa561df7efb8f76a294a1caa1805e60acce
|
|
| MD5 |
e45b10a42b97e06357aad8aabd69f5dc
|
|
| BLAKE2b-256 |
bf3fb09e4d731df8369bc7faed697429e3442cb942c3c69673a8a653aaaceb3d
|
