Metadata-Version: 2.1
Name: shoonyapy
Version: 0.1.1
Summary: Unofficial Python wrapper for Trading REST APIs for Finvasia Shoonya platform
Home-page: https://gitlab.com/algo2t/shoonyapy
License: GPLv3
Author: Algo 2 Trade
Author-email: help@algo2.trade
Requires-Python: >=3.9,<4.0
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: getmac (>=0.8.2,<0.9.0)
Requires-Dist: pandas (>=1.3.1,<2.0.0)
Requires-Dist: requests (>=2.26.0,<3.0.0)
Project-URL: Repository, https://gitlab.com/algo2t/shoonyapy.git
Description-Content-Type: text/markdown

# Shoonya Trading APIs

Unofficial Python Trading APIs for Finvasia Shoonya Platform.

To support this project consider opening account with [finvasia.com](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=) with [this referral link](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=).

[Finvasia](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=) offers Zero Brokerage trading and is doing good recently with it's new Shoonya platform.  
Please check [shoonya](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=) web platform.  
Support this work by opening account with [Finvasia](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=)

**WORK IS STILL IN PROGRESS**

**USE AT YOUR OWN RISK, DO NOT EXPECT 100% PERFECT DATA**

**USE ONLY DURING LIVE MARKET**

**THIS API DOES NOT WORK ON SATURDAY SUNDAY**

**DataApi MAY WORK ON WEEKENDS WITH FEW EXCEPTIONS**

**Documentation is incomplete expect bugs and send pull requests**

## Installation

- Python version `>3.9` is needed for this module to work
- Git is required for below command to work
- `pip install git+https://gitlab.com/algo2t/shoonyapy.git`

## Alternate way to install
- Python version `>3.9` is needed for this module to work
- Download the wheel from [releases](https://gitlab.com/algo2t/shoonyapy/-/releases)
- `python -m pip install shoonyapy-0.1.0-py3-none-any.whl`


## How to setup a good environment

- Install latest Python version 3.9.x, download it from [here](https://www.python.org/downloads/)
- Linux comes with python upgrade it to latest version 3.9.x
- Use [scoop.sh](https://scoop.sh) for Windows as package manager.
- Use your favorite editor like [VSCodium](https://vscodium.com/) or [VSCode](https://code.visualstudio.com/) download it from [here](https://code.visualstudio.com/Download)
- VScode is available for Windows, Linux and Mac
- Python extension for vscode is [here](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
- MagicPython is also good extension
- Wonderful documentation for working with python and vscode is [here](https://code.visualstudio.com/docs/languages/python)
- Use virtualenv to create a virtual python env so that your system is not affected
- Steps for virtualenv creation - `python -m pip install virtualenv` and then virtualenv venv
- Activate the `venv` => `.\venv\Scripts\activate` (this is an example for Windows OS)
- Install and upgrade modules `(venv) PS D:\trading\algo2trade\shoonya> python -m pip install -U pip wheel setuptools pylint rope autopep8`

## Usage

### Creating a `config.py` example

```python

username='FA12345'
password='FinvAsia@P123'
# Date of Birth format is dd-MM-yyyy e.g 29-06-1984
pan_or_dob='ABCDE1234Z'


```

### Login or Using DataApi and ShoonyaApi

```python

from shoonyapy import ShoonyaApi, DataApi
import logging

import config

from datetime import datetime as dt
from time import sleep
import pandas as pd


logging.basicConfig(level=logging.DEBUG)


begin = dt.now()
print(begin)

data = DataApi()

shoonya = ShoonyaApi(config.username, config.password,
                     config.pan_or_dob, debug=True)

sbin = data.get_instrument_by_exchange_symbol('NSE', 'SBIN')

order_no = shoonya.place_order(sbin, 1, order_type=shoonya.ORDER_TYPE_LIMIT, price=472,
                               product=shoonya.PRODUCT_INTRADAY, txn_type=shoonya.TRANSACTION_TYPE_SELL, is_amo=False)

df = shoonya.orders()
df = df.loc[df['status'].str.contains('Pending'), [
    'order_no', 'status', 'segment', 'product']]
print(df)


end = dt.now()

duration = end - begin
print(end)
print(f"milliseconds taken :: {duration.microseconds/1000}")

```

## API Short Documentation

### Modify Orders API is still underdevelopment so do not use it.

#### List Orders or Order Book

`shoonya.orders()`

#### Order History or Order Details

`shoonya.order_history(order_no, segment)`

#### List Trades or Trade Book

`shoonya.trades()`

#### Trade History or Trade Details

`shoonya.trade_history()`

#### Holdings

`shoonya.holdings()`

#### Net Position or Positions

`shoonya.positions()`

#### Fund Limit or Funds - NOT WORKING

`shoonya.funds()`

### Order Management APIs

### Place Bracket Order

```python

inst = data.get_instrument_by_exchange_symbol('MCX', 'GOLDPETAL21AUGFUT')
print(data.ltp(inst).ltp)

order_no = shoonya.place_bracket_order(inst, shoonya.TRANSACTION_TYPE_BUY, \
    shoonya.ORDER_TYPE_MARKET, 1, 0, 0, 2, 1)

inst = data.get_instrument_by_exchange_symbol('NSE', 'SBIN')
order_no = shoonya.place_bracket_order(inst, shoonya.TRANSACTION_TYPE_BUY, \
    shoonya.ORDER_TYPE_LIMIT, quantity=1, price=450, profit=2, stoploss=10)

print(order_no)

```

### Exit Bracket Order

```python

bo_exit = shoonya.exit_bracket_order(order_no, shoonya.SEGMENT_COMMODITY)
print(bo_exit)

```

### Square Off All Positions

`shoonya.square_off_all()`

### Square Off Symbol Positions

```python
inst = data.get_instrument_by_exchange_symbol('NSE', 'SBIN')
shoonya.square_off_symbol(instrument.symbol)

```

### Exit Pending Orders

`shoonya.exit_pending_orders()`

### Place Order

```python

data = DataApi()
inst = data.get_instrument_by_exchange_symbol(exchange, symbol)
print(inst)
order_no = shoonya.place_order(inst, quantity, price, is_amo=True)
print(order_no)
```

### Cancel Order

`shoonya.cancel_order(order_no, shoonya.SEGMENT_COMMODITY)`

### Market Status

```python

shoonya = ShoonyaApi(config.username, config.password,
                     config.pan_or_dob, debug=True)

shoonya.market_status(exchange='MCX')
shoonya.market_status(mkt_type=shoonya.MARKET_TYPE_OL)
shoonya.market_status(mkt_type='')
shoonya.market_status(exchange=shoonya.EXCHANGE_NSE, segment=shoonya.SEGMENT_DERIVATIVE, mkt_type=shoonya.MARKET_TYPE_NL)

```

## DataApi example for Indices Nifty Bank and Nifty 50 no login is required

```python

from shoonyapy import DataApi

from datetime import datetime as dt
from datetime import timedelta as td

from collections import namedtuple

data = DataApi()


Instrument = namedtuple('Instrument', ['exchange', 'segment', 'token', 'symbol',
                                       'name', 'expiry', 'lot_size'])

inst = Instrument('NSE_INDICES','E','26009','Nifty Bank', 'Nifty Bank','0001-01-01T00:00:00', 0)
df = data.history(inst, start_time=dt.today() - td(days=5))
print(df)
inst = Instrument('NSE_INDICES','E','26000','Nifty 50', 'Nifty Bank','0001-01-01T00:00:00', 0)

# Default end_time is today
df = data.history(inst, start_time=dt.today() - td(days=5))
print(df)

df = data.history(inst, start_time=dt.today() - td(days=5), end_time=dt.today() - td(days=3), interval=15)
print(df)


```

### Types of Exchanges

```python


shoonya.EXCHANGE_NSE
shoonya.EXCHANGE_BSE
shoonya.EXCHANGE_MCX

```

### Types of Segments

```python


shoonya.SEGMENT_EQUITY
shoonya.SEGMENT_DERIVATIVE
shoonya.SEGMENT_CURRENCY
shoonya.SEGMENT_COMMODITY

```

### Types of Transactions

```python

shoonya.TRANSACTION_TYPE_BUY
shoonya.TRANSACTION_TYPE_SELL


```

### Types of Products

```python


shoonya.PRODUCT_NORMAL
shoonya.PRODUCT_INTRADAY
shoonya.PRODUCT_MARGIN
shoonya.PRODUCT_BO
shoonya.PRODUCT_CO
shoonya.PRODUCT_CNC
shoonya.PRODUCT_MTF


```

### Types of Markets

```python

shoonya.MARKET_TYPE_NL
shoonya.MARKET_TYPE_OL
shoonya.MARKET_TYPE_AU
shoonya.MARKET_TYPE_SP
shoonya.MARKET_TYPE_A1
shoonya.MARKET_TYPE_A2


```

## Contributing

You can contribute to the project by submitting issues, merge requests, etc.
Documentation updates or WiKi Updates can be suggested by users.

## Donations

For any donations, please connect with the author.

## Authors and acknowledgment

Thanks to people who motivated to create this project.  
Thanks Finvasia / Shoonya Team for providing API Documentation

### Dependencies

- Python [requests](https://docs.python-requests.org/en/master/)
- Python [pandas](https://pandas.pydata.org/docs/index.html)
- Python [getmac](https://getmac.readthedocs.io/en/latest/)

## License

This project is licensed under the GNU GENERAL PUBLIC LICENSE Version 3.
Free distribution is allowed.

## Project status

This project is a hobby project and must not be considered as legally bonded with Finvasia.
In case, you want to support this project consider opening account with [finvasia.com](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=) with [this referral link](https://prism.finvasia.com/register/?franchiseLead=MzYzMDE=).

