semvec/pypi-packages huggingface dataset:
dnsmspro 0.0.4
SMS BOMBER FOR BANGLADESH.
Keywords: python,spam,sms,sms bomber,dnsmspro,dnnihad


[![DN NIHAD](https://readme-typing-svg.herokuapp.com?color=%2300FF00&size=30&lines=HEY!+I'M+DN+NIHAD)](https://github.com/dnnihad)

<h1>DN NIHAD</h1>
</div>

<h3><b><i>KNOW MORE ABOUT ME :</i></b></h3>
<li> 👀 I’m interested in programming 😍</i></li>
<li> 🤓 <i>Trying to learn</i></li>
<li> 😝 <i>Love to learn something New</i></li>
<li> 😇 <i>Muslim</i></li>

## My SOCIAL MEDIA 🥴🥴

<br>
   <a href="https://dnnihad.github.io/" target="_blank"><img src="https://avatars.githubusercontent.com/u/101970745" alt="alt text" width="25" height="25"></a>
</a>


# Install

````
pip install dnsmspro
````
# run : 

````
dnsmspro
````

Use Letest Termux Version 0.118.0 (118) : <a href="https://f-droid.org/repo/com.termux_118.apk">DOWNLOAD TERMUX v118</a>

## THANKS
tifft 0.1.2
Technical Indicators for Financial Trading
Requires Python: >=3.6

tifft
=====

Technical Indicators for Financial Trading

[![Test](https://github.com/dceoy/tifft/actions/workflows/test.yml/badge.svg)](https://github.com/dceoy/tifft/actions/workflows/test.yml)
[![Upload Python Package](https://github.com/dceoy/tifft/actions/workflows/python-publish.yml/badge.svg)](https://github.com/dceoy/tifft/actions/workflows/python-publish.yml)
[![CI to Docker Hub](https://github.com/dceoy/tifft/actions/workflows/docker-publish.yml/badge.svg)](https://github.com/dceoy/tifft/actions/workflows/docker-publish.yml)

Installation
------------

```sh
$ pip install -U tifft
```

Docker image
------------

The image is available at [Docker Hub](https://hub.docker.com/r/dceoy/tifft/).

```sh
$ docker image pull dceoy/tifft
```

Usage
-----

#### Calculator Classes for Python

```python
import numpy as np
from tifft.bollingerbands import BollingerBandsCalculator
from tifft.macd import MacdCalculator
from tifft.rsi import RsiCalculator

prices = np.random.randn(100) * 100

# MACD
macdc = MacdCalculator(fast_ema_span=12, slow_ema_span=26, macd_ema_span=9)
df_macd = macdc.calculate(values=prices)
print(df_macd)

# Bollinger Bands
bbc = BollingerBandsCalculator(window_size=20, sd_multiplier=2)
df_bb = bbc.calculate(values=prices)
print(df_bb)

# RSI
rsic = RsiCalculator(window_size=14, upper_line=70, lower_line=30)
df_rsi = rsic.calculate(values=prices)
print(df_rsi)
```

#### Command-line Tools

Fetch the historical data of DJIA, SP500, and NASDAQ100 from FRED (St. Louis Fed).

```sh
$ tifft history DJIA SP500 NASDAQ100
```

Fetch the data of SP500 from FRED and calculate the MACD.

```sh
$ tifft macd SP500
```

Fetch the data of SP500 from FRED and calculate the Bollinger Bands.

```sh
$ tifft bb SP500
```

Fetch the data of SP500 from FRED and calculate the RSI.

```sh
$ tifft rsi SP500
```

Run `tifft --help` for information.