
Research
/Security News
Toptal’s GitHub Organization Hijacked: 10 Malicious Packages Published
Threat actors hijacked Toptal’s GitHub org, publishing npm packages with malicious payloads that steal tokens and attempt to wipe victim systems.
python-storage-timeline-ta-indicators
Advanced tools
Tool to calculate technical analysis indicators in a continuous time series data
This library reads, cleans and sorts data acquired from web database. Values in a storage expected to be in a json format with a following structure:
{"time":1684968241256,"value":"{\"r\":[49208.040463174424,730195614842.3989]}"}
Class data aggregation takes link as an argument to create instance of a database. The data from the database could be updated manualy via update
function.
To calculate ta indicators function print_indicators
should be used that takes next arguments:
time
in "2D", "4S" or "W" format that denotes length of even interwals time series will be divided.
length
takes int input and stands for number of intervals that will be used to calculate the indicator.
indicators
takes one (or multiple) of 'RSI', 'STOCH', 'STOCHRSI', 'ADX', 'MACD', 'WILLIAMS', 'CCI', 'ATR', 'HIGHLOW', 'ULTOSC', 'ULTOSC', 'ROC', 'MA'. If is None
calculates all of listed.
IMPORTANT
Some indicators require additional arguments. They should be added to print_indicators
function with names used in ta-lib
.
from dataaggregation.aggregation import data_aggregation
my_data = data_aggregation('thelinkgoeshere')
my_data.get_data()
my_data.print_indicators('D', length = 14, smooth_step=6, indicators = ['RSI'])
Should only be used with a great understanding of features of data it was trained on. Works best on a volatile time series with high liquidity.
from dataaggregation.aggregation import lstm_anomaly_detection
anms = lstm_anomaly_detection(url = 'thelinkgoeshere')
anms.detect_anomalies(threshold=1.25)
pip install python_storage_timeline_ta_indicators
FAQs
Tool to calculate technical analysis indicators in a continuous time series data
We found that python-storage-timeline-ta-indicators demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
/Security News
Threat actors hijacked Toptal’s GitHub org, publishing npm packages with malicious payloads that steal tokens and attempt to wipe victim systems.
Research
/Security News
Socket researchers investigate 4 malicious npm and PyPI packages with 56,000+ downloads that install surveillance malware.
Security News
The ongoing npm phishing campaign escalates as attackers hijack the popular 'is' package, embedding malware in multiple versions.