Nandu Singh

Nandu Singh

1596378553

Learn how to build your own Cryptocurrency Trading Bot with Python

If you’ve been in the cryptocurrency market for more than a few days, you probably know the feeling of the market dropping and you feel hopeless in cashing out your portfolio into a stablecoin or Bitcoin.

Instead of panicking, take control of your portfolio by learning how to write powerful scripts which can instantly execute the trades you need to move in and out of positions.

By the end of this tutorial, you will be equipped with tools which allow you to fully automate and control your portfolio without ever logging into your exchange accounts.

This video series will walk you through the process of building each aspect of your own cryptocurrency trading bot.

The Shrimpy Developer APIs are the premier crypto trading APIs in the market. Collect data across 17+ exchanges, thousands of markets, and more. Access historical tick-by-tick trade data, OHLCV candlesticks, and orderbook snapshots.

Execute trades in real-time or use our smart order routing endpoints. Everything is at the tip of your fingers for immediate integration into your products or services.

Installation

pip install shrimpy-python

Quick Start

All requests are synchronous. For a comprehensive API usage guide, please see https://developers.shrimpy.io/docs.

If you would like to use the async/await style similar to our Node.js library, consider using the asyncio python library to wrap the synchronous requests provided here.

import shrimpy

public_key = 'bea8edb348af226...'
secret_key = 'df84c39fb49026dcad9d99...'
client = shrimpy.ShrimpyApiClient(public_key, secret_key)
ticker = client.get_ticker('bittrex')

Public Endpoints

The clients for both the public and authenticated endpoints are identical. Please note that if you attempt to use the authenticated endpoints without keys, it will fail.

supported_exchanges = client.get_supported_exchanges()
exchange_assets = client.get_exchange_assets('bittrex')
trading_pairs = client.get_trading_pairs('bittrex')

Market Data Methods

ticker = client.get_ticker('bittrex')
orderbooks = client.get_orderbooks(
    'bittrex',  # exchange
    'XLM',      # base_symbol
    'BTC',      # quote_symbol
    10          # limit
)
candles = client.get_candles(
    'bittrex',  # exchange
    'XLM',      # base_trading_symbol
    'BTC',      # quote_trading_symbol
    '15m'       # interval
)

Authenticated Endpoints

As mentioned above, please use the provided Shrimpy API keys to access the authenticated endpoints. Endpoints such as user management require the master api key, while endpoints such as trading will work with either a master api key or a user api key.

User Management Methods

users = client.list_users()
user = client.get_user(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
create_user_response = client.create_user(
    'mycustomname' # (optional) name
)
user_id = create_user_response['id']
client.name_user(
    'mycustomname' # name
)

User API Keys Methods

public_user_keys = client.get_api_keys(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
user_api_keys = client.create_api_keys(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
client.delete_api_keys(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',                            # user_id
    '51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80' # public_key
)
permissions = client.get_api_key_permissions(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',                            # user_id
    '51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80' # public_key
)
client.set_api_key_permissions(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',                             # user_id
    '51ac18b7d208f59b3c88acbb1ecefe6ba6be6ea4edc07e7a2450307ddc27ab80', # public_key
    True,                                                               # enable account methods
    False                                                               # enable trading methods
)

Account Methods

accounts = client.list_accounts(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)
account = client.get_account(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # exchange_account_id
)
link_account_response = client.link_account(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',                             # user_id
    'binance',                                                          # exchange
    'GOelL5FT6TklPxAzICIQK25aqct52T2lHoKvtcwsFla5sbVXmeePqVJaoXmXI6Qd', # public_key (a.k.a. apiKey)
    'SelUuFq1sF2zGd97Lmfbb4ghITeziKo9IvM5NltjEdffatRN1N5vfHXIU6dsqRQw',  # private_key (a.k.a. secretKey
    'mypassphrase'                                                       # (optional)passphrase - required for exchanges with passphrases like CoinbasePro
)
account_id = link_account_response['id']
client.unlink_account(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    456                                     # account_id
)
ip_addresses = client.get_ip_whitelist_addresses(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8' # user_id
)

Trading Methods

create_trade_response = client.create_trade(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # account_id
    'BTC',                                  # from_symbol
    'ETH',                                  # to_symbol
    '0.01'                                  # amount of from_symbol
)
trade_id = create_trade_response['id']
trade = client.get_trade_status(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # exchange_account_id
    '72dff099-54c0-4a32-b046-5c19d4f55758'  # trade_id
)
active_trades = client.list_active_trades(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # exchange_account_id
)

Balance Methods

balance = client.get_balance(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)
total_balance_history = client.get_total_balance_history(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)

Asset Management Methods

client.rebalance(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)
rebalance_period_hours = client.get_rebalance_period(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)
client.set_rebalance_period(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # account_id
    24                                      # rebalance_period in hours
)
strategy = client.get_strategy(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)
client.set_strategy(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',   # user_id
    123,                                      # account_id
    {
        'isDynamic': False,
        'allocations': [
            { 'symbol': 'BTC', 'percent': '50' },
            { 'symbol': 'ETH', 'percent': '50' }
        ]
    }                                         # strategy
)
client.clear_strategy(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',   # user_id
    123                                       # account_id
)
client.allocate(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8',    # user_id
    123,                                       # account_id
    {
        'isDynamic': False,
        'allocations': [
            { 'symbol': 'USDT', 'percent': '100' }
        ]
    }                                          # strategy
)

Limit Order Methods

place_limit_order_response = client.place_limit_order(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # account_id
    'BTC',                                  # base_symbol
    'ETH',                                  # quote_symbol
    '0.01',                                 # quantity of base_symbol
    '0.026',                                # price
    'SELL',                                 # side
    'IOC',                                  # time_in_force
)
limit_order_id = place_limit_order_response['id']
order = client.get_limit_order_status(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # account_id
    '8c2a9401-eb5b-48eb-9ae2-e9e02c174058'  # order_id
)
orders = client.list_open_orders(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123                                     # account_id
)
order = client.cancel_limit_order(
    '701e0d16-1e9e-42c9-b6a1-4cada1f395b8', # user_id
    123,                                    # account_id
    '8c2a9401-eb5b-48eb-9ae2-e9e02c174058'  # order_id
)

Analytics Methods

backtest_assets = client.get_backtest_assets(
    'kucoin' # exchange
)
backtest_results = client.run_backtest(
    'binance',                                       # exchange
    10,                                              # rebalance_period in hours
    '0.1',                                           # fee in percent
    '2018-05-19T00:00:00.000Z',                      # start_time
    '2018-11-02T00:00:00.000Z',                      # end_time
    '5000',                                          # initial_value in USD
    [
        { 'symbol': "BTC", 'percent': '50' },
        { 'symbol': "ETH", 'percent': '50' }
    ]                                                # allocations
)

Insight Methods

asset_dominance = client.get_asset_dominance()
asset_popularity = client.get_asset_popularity()

Historical Methods

count = client.get_historical_count(
    'trade',
    'Bittrex',
    'LTC',
    'BTC',
    '2019-05-19T01:00:00.000Z',
    '2019-05-20T02:00:00.000Z'
)
instruments = client.get_historical_instruments()
bittrex_instruments = client.get_historical_instruments('Bittrex')
trades = client.get_historical_trades(
    'Bittrex',
    'LTC',
    'BTC',
    '2019-05-19T00:00:00.000Z',
    '2019-05-20T00:00:00.000Z',
    100
)
orderbooks = client.get_historical_orderbooks(
    'Bittrex',
    'LTC',
    'BTC',
    '2019-05-19T00:00:00.000Z',
    '2019-05-20T00:00:00.000Z',
    100
)
candles = client.get_historical_candles(
    'Bittrex',
    'LTC',
    'BTC',
    '2019-05-19T00:00:00.000Z',
    '2019-05-20T00:00:00.000Z',
    100,
    '1m'
)

Management Methods

status = client.get_status()
usage = client.get_usage()

Websocket

Users can access the Shrimpy websocket feed using the ShrimpyWsClient class. A handler must be
passed in on subscription that is responsible for processing incoming messages from the websocket
stream. It is recommended that you simply send the message to another processing thread from your custom
handler to prevent blocking the incoming message stream.

The client handles pings to the Shrimpy server based on the API Documentation

import shrimpy


public_key = '6d73c2464a71b94a81aa7b13d...'
private_key = 'e6238b0de3cdf19c7861f8e8f5d137ce7113ac1e884b191a14bbb2...'

# This is a sample handler, it simply prints the incoming message to the console
def error_handler(err):
    print(err)


# This is a sample handler, it simply prints the incoming message to the console
def handler(msg):
    print(msg)


api_client = shrimpy.ShrimpyApiClient(public_key, private_key)
raw_token = api_client.get_token()
client = shrimpy.ShrimpyWsClient(error_handler, raw_token['token'])

subscribe_data = {
    "type": "subscribe",
    "exchange": "coinbasepro",
    "pair": "ltc-btc",
    "channel": "orderbook"
}

# Start processing the Shrimpy websocket stream!
client.connect()
client.subscribe(subscribe_data, handler)

# Once complete, stop the client
client.disconnect()

Exchange: Binance.com
Github: https://github.com/shrimpy-dev/shrimpy-python
Docs: https://developers.shrimpy.io/docs

#cryptocurrency #bitcoin #blockchain #python

What is GEEK

Buddha Community

Learn how to build your own Cryptocurrency Trading Bot with Python
Ray  Patel

Ray Patel

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top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

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Create a Twitter bot with Python that tweets images or status updates at a set interval. The Python script also scrapes the web for data.

📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=8u-zJVVVhT4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=14
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
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Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

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⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
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⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
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⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
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⌨️ (2:14:13) While Loop
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📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!

#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python