semvec/pypi-packages huggingface dataset:
candlestick-patterns-subodh101 1.1.0
A trading candlestick pattern package
Requires Python: >=3.8

# candlestick-patterns (1.1.0)
> Candlestick patterns detector

## Available patterns
* Inverted Hammer
* Hammer
* Hanging man
* Bearish/Bullish Harami
* Dark cloud cover
* Doji
* Doji Star
* Dragonfly doji
* Gravestone doji
* Bearish engulfing
* Bullish engulfing
* Morning star
* Morning star doji
* Piercing pattern
* Rain drop
* Rain drop doji
* Star
* Shooting star


## How to use
### Dataframe requirements

- Dataframe must contain open, high, low and close prices
- Open, high, low and close prices must be in numeric type.

#### Dataframe Example: 

|                time |     open |     high |      low |    close |
|--------------------:|---------:|---------:|---------:|---------:|
| 2019-12-24 00:00:00 |  7317.3  |  7436.68 |  7157.04 |  7255.77 |
| 2019-12-25 00:00:00 |  7255.77 |  7271.77 |  7128.86 |  7204.63 |
| 2019-12-26 00:00:00 |  7205.01 |  7435    |  7157.12 |  7202    |
| 2019-12-27 00:00:00 |  7202    |  7275.86 |  7076.42 |  7254.74 |
| 2019-12-28 00:00:00 |  7254.77 |  7365.01 |  7238.67 |  7316.14 |
| 2019-12-29 00:00:00 |  7315.36 |  7528.45 |  7288    |  7388.24 |

### Code
```python
from candlestick import candlestick
df = candlestick.inverted_hammer(df, target='result')
```
### Result

| T                   | result            |     open |     high |      low |    close |
|:--------------------|:------------------|---------:|---------:|---------:|---------:|
| 2019-12-24 00:00:00 | False             |  7317.3  |  7436.68 |  7157.04 |  7255.77 |
| 2019-12-25 00:00:00 | False             |  7255.77 |  7271.77 |  7128.86 |  7204.63 |
| 2019-12-26 00:00:00 | True              |  7205.01 |  7435    |  7157.12 |  7202    |
| 2019-12-27 00:00:00 | False             |  7202    |  7275.86 |  7076.42 |  7254.74 |
| 2019-12-28 00:00:00 | False             |  7254.77 |  7365.01 |  7238.67 |  7316.14 |
| 2019-12-29 00:00:00 | False             |  7315.36 |  7528.45 |  7288    |  7388.24 |

"True" indicates that pattern is detected at that candle

## Parametrs
All pattern detection methods receive 3 parametrs:
* target (String) - Indicates the column to which the result of detection is saved as boolean. 
* is_reversed (Bool) - Pass True if rows in dataframe are in time descending order, otherwise False. Deafult is False.
* ohlc (List) - Pass list of strings which indicates the column names of open/high/low/close prices in dataframe. Default: ["open", "high", "low", "close"]. 

## Releasing instructions

https://packaging.python.org/guides/distributing-packages-using-setuptools/#packaging-your-project

## To colaborate on the candlestick pattern

Email me at subodh.pushkar@gmail.com
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health-records 0.0.7
health records
Requires Python: >=3.6

## health-records
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

A tool for managing personal health records using plain text. Inspired by the principles of plain text accounting.

The main idea is to maintain your own health records in a text file that can be privately stored in your computer and versioned on a private git repository. The included command line tool can query and plot the data.

Records can be entered by hand using a text editor or imported from your own account from online services like Apple Health, Withings, Strava, etc. The import process can be automated.

Health records can include:
  - body metrics: weight, height, blood pressure, heart rate
  - lab results: blood work, cholesterol levels, glucose
  - immunization: flu vaccine doses, covid-19 vaccine doses
  - medications, eye glasses prescription
  - diagnostics and conditions
  - procedures
  - fitness records: workouts, relative effort, average heart rate

Sample health records:

```
2020-06-07 08:11:00 r 'import from withings - grp 1'
  body.weight 166.34
  body.fat.mass 21.61
  body.fat.ratio 12.99
  body.fat-free.mass 144.73
  body.muscle.mass 133.07
  body.bone.mass 66.54
  body.water 99.8

2020-06-08 00:00:00 r 'import from withings - grp 4'
  body.heart.rate 76
  body.heart.pwv 5.6
```

Sample command to generate a graph with some health data:

```
phr plot body.weight
```
<img src="https://github.com/pacogomez/health-records/blob/main/docs/images/sample-plot.png" width="600">


## Install

```
pip install health-records
```


## References

I'm an active user of the great text-based accounting software [beancount](https://beancount.github.io) by Martin Blais. Some of the ideas in `beancount` have been an inspiration for `health-records`.


## Copyright and License

Copyright (C) 2021 Paco G&oacute;mez. All Rights Reserved.

This code is distributed under the terms of the "GNU GPLv3 only". See [LICENSE](./LICENSE) file for details.


## Author

Paco G&oacute;mez [contact@pacogomez.com](mailto:contact@pacogomez.com)
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