semvec/pypi-packages huggingface dataset:
appxf 0.0.2
APPXF assists python applications (APP) by delivering the cross functional (XF) concerns
Requires Python: >=3.10

# APPXF

APPXF covers cross functional concerns like configuration, persisting data,
logging or security to limit the effort writing simple applications.

__What it is:__ I transfer reusable parts into this package with a strong intend of
the content being useful for others.

__What it could be:__ With support from you, it could start closing a gap anyone
needs to cross when writing even a small application to support small
associations or non-profits.

In Construction
===============
The package is currently "in construction". Main concerns:
  * split from private sources to clarify licensing before publication
  * in the middle of a core feature increase to settle further interfaces
Versions 0.0.x will cover this transitional phase. Target is a preliminary
release as 0.1.0 where interfaces may still be unstable.

It is made public already to:
  1) gather experience with the packaging
  2) allow a stepwise transition
latency 0.1.0
Library for latency simulation and query for Onetick
Requires Python: >=3.9

# Onetick latency simulation library

## Overview

This library has various fonctionnality such a latency simulator as well as a query script for querying nbbo data from 
OneTick software. 

## Installation and requirements

This library requires OneTick software installed.

- [ ] pip install the wheel for this package
- [ ] pip install the requirements for this package


## Latency Module
The Latency module is designed to simulate network latency based on trading volumes and activity. It adjusts DataFrame timestamps to mimic realistic network delays by applying generated latency values drawn from a Gaussian normal distribution.

### Key Features:

- Flexible parameter inputs including date range (format: "yyyy-mm-dd") , symbol, batch size, and timezone.
- Configurable min/max latency values to reflect observed extremes.
- Mean and standard deviation settings for latency mirroring observed data characteristics.
- Jitter factor to simulate real-life network behavior.
- Options to plot latency distributions and trading volume over time.
- Metrics display for simulation analysis.

## Timestamp Crossover Module
This module detects timestamp anomalies where entries are out of chronological order—a common issue in high-frequency trading data that can lead to significant analytical errors.

### Functionality:

- Identifies and reports rows where timestamps are not sequential.
- Provides detailed reports of timestamp crossover incidents to aid in data cleansing.

## Volume Analyser Module
The Volume Analyser module evaluates trading volumes over specified intervals to identify periods of high activity. This analysis is crucial for adjusting latency in the simulation model to reflect real-world conditions.

### Capabilities:

- Calculates and analyzes trade counts over rolling time windows.
- Identifies high activity periods using percentile-based thresholds.
- Visualizes trading activity to assist in understanding market dynamics.


## NBBO Query Module
This module facilitates efficient querying of NBBO (National Best Bid and Offer) data through the OneTick platform, providing crucial market data for further analysis.

### Utilization:

- Streamlines the data retrieval process for NBBO queries.
- Supports extensive customization of query parameters to target specific data needs.
- Efficiently handles large datasets, ensuring timely processing and analysis.
kaiservector 0.0.1
Impliments Vector Math
Keywords: python, vector, math


# Kaise Gradient



Under construction! Not ready for use yet! Currently experimenting and planning!



Developed by Kaiser Fechner (2024)



## Examples of How To Use (Buggy Alpha Version)



Using a Vector



```python

from kaiservectors import *

Vector2d(1, 1) - Vector2d(5, 5)

# returns Vector2d(-4, -4)

```
kaisergadient 0.0.1
Impliments Vector Math
Keywords: python, vector, math


# Kaise Gradient



Under construction! Not ready for use yet! Currently experimenting and planning!



Developed by Kaiser Fechner (2024)



## Examples of How To Use (Buggy Alpha Version)



Using a Vector



```python

from kaiservectors import *

Vector2d(1, 1) - Vector2d(5, 5)

# returns Vector2d(-4, -4)

```